What causes a stock to spike before lunch and crash by dinner? In today’s hyper-connected world, financial markets react to global events almost instantly. With news and social media influencing investor sentiment in real time, stock prices and currencies can rise or fall within minutes, making up-to-date data more critical than ever.
To stay ahead, investors and companies need immediate access to real-time data on market trends, stock fluctuations, indexes, and breaking financial news. At the same time, the demand for clear, accessible financial data has opened new opportunities for developers to integrate these insights into custom financial solutions, like stock trackers, reporting tools, and investment platforms.
But where developers can find real-time financial data to develop such solutions? Besides, is it possible to pull such structured data quickly, and efficiently?
We’ll answer these questions in this article, where we explore one of the most reliable financial data sources from Google – Google Finance, and show you the way to retrieve data from it effortlessly and at a scale. Additionally, we’ll demonstrate how you can leverage financial data in no-code environments to build powerful, automated financial tools without advanced coding knowledge.
Contents:
Understanding Google Finance service
Using Google Finance SERP API to fetch Google Finance insights
➤ Google Finance Explore
➤ Google Finance Markets
➤ Google Finance Quote
➤ Google Finance Ticker Search
Building data-driven financial automations with Google Finance SERP API and n8n
➤ Automated stock tracking and stock updates
➤ Automated local market stock and news reporting
Conclusion
Understanding Google Finance service
Google Finance is a finance data and news service created by Google that provides data on stock markets and financial instruments. It was introduced in 2006 as a financial news aggregator with options for basic stock monitoring and has since undergone numerous changes to improve its functionality. In 2020, the Google Finance website was completely redesigned, offering new features for exploring market trends and individual stock tracking.
The data and news displayed on Google Finance come from various sources, including stock exchanges (such as NASDAQ, NYSE), news outlets, financial analysts, and directly from listed companies. The diversity and quality of data sources make Google Finance a reliable financial information provider for investors. Overall, Google Finance aggregates rich and structured data that is also invaluable for creating custom financial solutions.
Unfortunately, Google Finance doesn’t offer an official API like Google Ads, Google Analytics, or some other Google services. That means you can’t pull data directly from the Google Finance service and integrate it into your tool.
Still, accessing Google Finance data isn’t out of reach. At DataForSEO, we developed a comprehensive API solution that allows you to effortlessly retrieve all possible data displayed on Google Finance. With our new Google Finance SERP API, you can immediately access data from Google Finance and search for individual tickers.
Let’s learn more about the endpoints of this API and how you can use them to fetch different types of data from Google Finance.
Using Google Finance SERP API to fetch Google Finance insights
The Google Finance SERP API features four endpoints designed to retrieve data from the Google Finance service: Google Finance Explore, Google Finance Markets, Google Finance Quote, and Google Finance Ticker Search. In particular, the first three endpoints retrieve data from the separate tabs of Google Finance: “Explore”, “Markets”, and “Quote”, which display different financial information. The last endpoint, Google Finance Ticker Search, can be used to search for stocks, indexes, and other assets based on the keyword you specify.
To better understand these endpoints and what data they provide, let’s examine them one by one.
1 Google Finance Explore
Using the Google Finance Explore endpoint, you can retrieve real-time data from the “Explore” tab of Google Finance. The “Explore” tab is the first page you land on while accessing Google Finance.
This tab displays the stocks, indexes you may be interested in, most followed stocks, and current market trends. The “Explore” tab also has a news section displaying top, local, and world markets news.
With the Google Finance Expore endpoint, you can effortlessly get data from all elements displayed on this tab. Moreover, you can specify location and language to retrieve information shown to users in a particular country. You can also choose the type of today’s financial news to retrieve: top stories, local, or world market news. To learn more about the Google Finance Explore endpoint and other endpoints of Google Finance SERP API, see this Help Center article.
The request and response of this endpoint look as follows:
Request example:
[
{
"language_name": "English",
"location_code": 2840,
"news_type": "local_market"
}
]
Response example:
{
"version": "0.1.20241227",
"status_code": 20000,
"status_message": "Ok.",
"time": "2.7810 sec.",
"cost": 0.004,
"tasks_count": 1,
"tasks_error": 0,
"tasks": [
{
"id": "03051418-1535-0139-0000-d8ac381f8550",
"status_code": 20000,
"status_message": "Ok.",
"time": "2.6911 sec.",
"cost": 0.004,
"result_count": 1,
"path": [
"v3",
"serp",
"google",
"finance_explore",
"live",
"advanced"
],
"data": {
"api": "serp",
"function": "live",
"se": "google",
"se_type": "finance_explore",
"language_name": "English",
"location_code": 2840,
"news_type": "local_market",
"device": "desktop",
"os": "windows"
},
"result": [
{
"keyword": "",
"type": "finance_explore",
"se_domain": "google.com",
"location_code": 2840,
"language_code": "en",
"check_url": "https://www.google.com/finance?hl=en&gl=us",
"datetime": "2025-03-05 12:18:43 +00:00",
"spell": null,
"refinement_chips": null,
"item_types": [
"google_finance_hero_groups",
"google_finance_interested",
"google_finance_news",
"google_finance_earnings_calendar",
"google_finance_most_followed",
"google_finance_market_trends"
],
"se_results_count": 0,
"items_count": 7,
"items": [
{
"type": "google_finance_hero_groups",
"rank_group": 1,
"rank_absolute": 1,
"markets": [
{
"market": "Futures",
"items": [
{
"type": "google_finance_market_instrument_element",
"ticker": "YMW00",
"price": 42747,
"price_delta": 153,
"price_currency": "USD",
"identifier": "YMW00:CBOT",
"displayed_name": "E-mini Dow ($5)",
"url": "https://google.com/finance/quote/YMW00:CBOT?hl=en&gl=us",
"location": null,
"trend": "up",
"timestamp": "2025-03-05 12:08:28 +00:00",
"percentage_delta": 0.3592055
},
{
"type": "google_finance_market_instrument_element",
"ticker": "ESW00",
"price": 5814.25,
"price_delta": 24.75,
"price_currency": "USD",
"identifier": "ESW00:CME_EMINIS",
"displayed_name": "E-mini S&P 500",
"url": "https://google.com/finance/quote/ESW00:CME_EMINIS?hl=en&gl=us",
"location": null,
"trend": "up",
"timestamp": "2025-03-05 12:08:28 +00:00",
"percentage_delta": 0.42749804
},
{
"type": "google_finance_market_instrument_element",
"ticker": "NQW00",
"price": 20510,
"price_delta": 111,
"price_currency": "USD",
"identifier": "NQW00:CME_EMINIS",
"displayed_name": "E-mini NASDAQ 100",
"url": "https://google.com/finance/quote/NQW00:CME_EMINIS?hl=en&gl=us",
"location": null,
"trend": "up",
"timestamp": "2025-03-05 12:08:25 +00:00",
"percentage_delta": 0.54414433
},
{
"type": "google_finance_market_instrument_element",
"ticker": "GCW00",
"price": 2927.199951171875,
"price_delta": 6.5998535,
"price_currency": "USD",
"identifier": "GCW00:COMEX",
"displayed_name": "Gold",
"url": "https://google.com/finance/quote/GCW00:COMEX?hl=en&gl=us",
"location": null,
"trend": "up",
"timestamp": "2025-03-05 12:08:25 +00:00",
"percentage_delta": 0.22597595
},
{
"type": "google_finance_market_instrument_element",
"ticker": "CLW00",
"price": 67.16999816894531,
"price_delta": -1.090004,
"price_currency": "USD",
"identifier": "CLW00:NYMEX",
"displayed_name": "Crude Oil",
"url": "https://google.com/finance/quote/CLW00:NYMEX?hl=en&gl=us",
"location": null,
"trend": "down",
"timestamp": "2025-03-05 12:08:25 +00:00",
"percentage_delta": -1.5968413
}
]
},
{
"market": "US",
"items": [
{
"type": "google_finance_market_index_element",
"ticker": ".DJI",
"market_identifier": "INDEXDJX",
"index_value": 42520.99,
"index_value_delta": -670.25,
"identifier": ".DJI:INDEXDJX",
"displayed_name": "Dow Jones Industrial Average",
"url": "https://google.com/finance/quote/.DJI:INDEXDJX?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-04 21:52:59 +00:00",
"percentage_delta": -1.5518193
},
{
"type": "google_finance_market_index_element",
"ticker": ".INX",
"market_identifier": "INDEXSP",
"index_value": 5778.15,
"index_value_delta": -71.57031,
"identifier": ".INX:INDEXSP",
"displayed_name": "S&P 500",
"url": "https://google.com/finance/quote/.INX:INDEXSP?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-04 21:52:59 +00:00",
"percentage_delta": -1.2234826
},
{
"type": "google_finance_market_index_element",
"ticker": ".IXIC",
"market_identifier": "INDEXNASDAQ",
"index_value": 18285.162,
"index_value_delta": -65.0293,
"identifier": ".IXIC:INDEXNASDAQ",
"displayed_name": "Nasdaq Composite",
"url": "https://google.com/finance/quote/.IXIC:INDEXNASDAQ?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-04 22:15:59 +00:00",
"percentage_delta": -0.3543794
},
{
"type": "google_finance_market_index_element",
"ticker": "RUT",
"market_identifier": "INDEXRUSSELL",
"index_value": 2079.5327,
"index_value_delta": -22.702393,
"identifier": "RUT:INDEXRUSSELL",
"displayed_name": "Russell 2000 Index",
"url": "https://google.com/finance/quote/RUT:INDEXRUSSELL?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-04 21:30:10 +00:00",
"percentage_delta": -1.079917
},
{
"type": "google_finance_market_index_element",
"ticker": "VIX",
"market_identifier": "INDEXCBOE",
"index_value": 23.31,
"index_value_delta": 0.5299988,
"identifier": "VIX:INDEXCBOE",
"displayed_name": "VIX",
"url": "https://google.com/finance/quote/VIX:INDEXCBOE?hl=en&gl=us",
"location": "America/Chicago",
"trend": "up",
"timestamp": "2025-03-05 12:03:16 +00:00",
"percentage_delta": 2.3265967
}
]
},
{
"market": "Europe",
"items": [
{
"type": "google_finance_market_index_element",
"ticker": "DAX",
"market_identifier": "INDEXDB",
"index_value": 23074.59,
"index_value_delta": 747.7793,
"identifier": "DAX:INDEXDB",
"displayed_name": "DAX PERFORMANCE-INDEX",
"url": "https://google.com/finance/quote/DAX:INDEXDB?hl=en&gl=us",
"location": "Europe/Berlin",
"trend": "up",
"timestamp": "2025-03-05 12:03:12 +00:00",
"percentage_delta": 3.3492436
},
{
"type": "google_finance_market_index_element",
"ticker": "UKX",
"market_identifier": "INDEXFTSE",
"index_value": 8794.22,
"index_value_delta": 35.219727,
"identifier": "UKX:INDEXFTSE",
"displayed_name": "FTSE 100 Index",
"url": "https://google.com/finance/quote/UKX:INDEXFTSE?hl=en&gl=us",
"location": "Europe/London",
"trend": "up",
"timestamp": "2025-03-05 12:18:23 +00:00",
"percentage_delta": 0.40209758
},
{
"type": "google_finance_market_index_element",
"ticker": "PX1",
"market_identifier": "INDEXEURO",
"index_value": 8204.16,
"index_value_delta": 156.24023,
"identifier": "PX1:INDEXEURO",
"displayed_name": "CAC 40",
"url": "https://google.com/finance/quote/PX1:INDEXEURO?hl=en&gl=us",
"location": "Europe/Paris",
"trend": "up",
"timestamp": "2025-03-05 12:03:00 +00:00",
"percentage_delta": 1.9413741
},
{
"type": "google_finance_market_index_element",
"ticker": "INDI",
"market_identifier": "INDEXBME",
"index_value": 13218.3,
"index_value_delta": 186.59961,
"identifier": "INDI:INDEXBME",
"displayed_name": "IBEX 35",
"url": "https://google.com/finance/quote/INDI:INDEXBME?hl=en&gl=us",
"location": "Europe/Madrid",
"trend": "up",
"timestamp": "2025-03-05 12:03:00 +00:00",
"percentage_delta": 1.43189
},
{
"type": "google_finance_market_index_element",
"ticker": "SX5E",
"market_identifier": "INDEXSTOXX",
"index_value": 5504.18,
"index_value_delta": 116.87012,
"identifier": "SX5E:INDEXSTOXX",
"displayed_name": "EURO STOXX 50",
"url": "https://google.com/finance/quote/SX5E:INDEXSTOXX?hl=en&gl=us",
"location": "Europe/Berlin",
"trend": "up",
"timestamp": "2025-03-05 12:03:15 +00:00",
"percentage_delta": 2.1693594
}
]
},
{
"market": "Asia",
"items": [
{
"type": "google_finance_market_index_element",
"ticker": "NI225",
"market_identifier": "INDEXNIKKEI",
"index_value": 37418.24,
"index_value_delta": 87.05859,
"identifier": "NI225:INDEXNIKKEI",
"displayed_name": "Nikkei 225",
"url": "https://google.com/finance/quote/NI225:INDEXNIKKEI?hl=en&gl=us",
"location": "Asia/Tokyo",
"trend": "up",
"timestamp": "2025-03-05 10:00:00 +00:00",
"percentage_delta": 0.23320611
},
{
"type": "google_finance_market_index_element",
"ticker": "000001",
"market_identifier": "SHA",
"index_value": 3341.9648,
"index_value_delta": 17.754883,
"identifier": "000001:SHA",
"displayed_name": "SSE Composite Index",
"url": "https://google.com/finance/quote/000001:SHA?hl=en&gl=us",
"location": "Asia/Shanghai",
"trend": "up",
"timestamp": "2025-03-05 08:15:00 +00:00",
"percentage_delta": 0.53410834
},
{
"type": "google_finance_market_index_element",
"ticker": "HSI",
"market_identifier": "INDEXHANGSENG",
"index_value": 23594.21,
"index_value_delta": 652.4414,
"identifier": "HSI:INDEXHANGSENG",
"displayed_name": "Hang Seng Index",
"url": "https://google.com/finance/quote/HSI:INDEXHANGSENG?hl=en&gl=us",
"location": "Asia/Hong_Kong",
"trend": "up",
"timestamp": "2025-03-05 08:08:38 +00:00",
"percentage_delta": 2.8439019
},
{
"type": "google_finance_market_index_element",
"ticker": "SENSEX",
"market_identifier": "INDEXBOM",
"index_value": 73730.23,
"index_value_delta": 740.2969,
"identifier": "SENSEX:INDEXBOM",
"displayed_name": "BSE SENSEX",
"url": "https://google.com/finance/quote/SENSEX:INDEXBOM?hl=en&gl=us",
"location": "Asia/Calcutta",
"trend": "up",
"timestamp": "2025-03-05 10:00:47 +00:00",
"percentage_delta": 1.0142453
},
{
"type": "google_finance_market_index_element",
"ticker": "NIFTY_50",
"market_identifier": "INDEXNSE",
"index_value": 22337.3,
"index_value_delta": 254.65039,
"identifier": "NIFTY_50:INDEXNSE",
"displayed_name": "NIFTY 50",
"url": "https://google.com/finance/quote/NIFTY_50:INDEXNSE?hl=en&gl=us",
"location": "Asia/Calcutta",
"trend": "up",
"timestamp": "2025-03-05 10:01:11 +00:00",
"percentage_delta": 1.1531695
}
]
},
{
"market": "Currencies",
"items": [
{
"type": "google_finance_asset_pair_element",
"base_symbol": "EUR",
"quote_symbol": "USD",
"base_display_name": "Euro",
"quote_display_name": "United States Dollar",
"price": 1.06927856,
"price_delta": 0.00672856,
"identifier": "EUR-USD",
"displayed_name": "EUR / USD",
"url": "https://google.com/finance/quote/EUR-USD?hl=en&gl=us",
"location": null,
"trend": "up",
"timestamp": "2025-03-05 12:17:05 +00:00",
"percentage_delta": 0.6332464
},
{
"type": "google_finance_asset_pair_element",
"base_symbol": "USD",
"quote_symbol": "JPY",
"base_display_name": "United States Dollar",
"quote_display_name": "Japanese Yen",
"price": 149.2245,
"price_delta": -0.5810000000000001,
"identifier": "USD-JPY",
"displayed_name": "USD / JPY",
"url": "https://google.com/finance/quote/USD-JPY?hl=en&gl=us",
"location": null,
"trend": "down",
"timestamp": "2025-03-05 12:18:05 +00:00",
"percentage_delta": -0.38783619999999996
},
{
"type": "google_finance_asset_pair_element",
"base_symbol": "GBP",
"quote_symbol": "USD",
"base_display_name": "Pound sterling",
"quote_display_name": "United States Dollar",
"price": 1.28316994,
"price_delta": 0.00390994,
"identifier": "GBP-USD",
"displayed_name": "GBP / USD",
"url": "https://google.com/finance/quote/GBP-USD?hl=en&gl=us",
"location": null,
"trend": "up",
"timestamp": "2025-03-05 12:17:05 +00:00",
"percentage_delta": 0.3056407
},
{
"type": "google_finance_asset_pair_element",
"base_symbol": "USD",
"quote_symbol": "CAD",
"base_display_name": "United States Dollar",
"quote_display_name": "Canadian Dollar",
"price": 1.4389835,
"price_delta": -0.0008315,
"identifier": "USD-CAD",
"displayed_name": "USD / CAD",
"url": "https://google.com/finance/quote/USD-CAD?hl=en&gl=us",
"location": null,
"trend": "down",
"timestamp": "2025-03-05 12:18:05 +00:00",
"percentage_delta": -0.05775047
},
{
"type": "google_finance_asset_pair_element",
"base_symbol": "AUD",
"quote_symbol": "USD",
"base_display_name": "Australian Dollar",
"quote_display_name": "United States Dollar",
"price": 0.6287699999999999,
"price_delta": 0.00198,
"identifier": "AUD-USD",
"displayed_name": "AUD / USD",
"url": "https://google.com/finance/quote/AUD-USD?hl=en&gl=us",
"location": null,
"trend": "up",
"timestamp": "2025-03-05 12:18:05 +00:00",
"percentage_delta": 0.3158952
}
]
},
{
"market": "Crypto",
"items": [
{
"type": "google_finance_asset_pair_element",
"base_symbol": "BTC",
"quote_symbol": "USD",
"base_display_name": "Bitcoin",
"quote_display_name": "United States Dollar",
"price": 90257.19,
"price_delta": 2972.93,
"identifier": "BTC-USD",
"displayed_name": "Bitcoin (BTC / USD)",
"url": "https://google.com/finance/quote/BTC-USD?hl=en&gl=us",
"location": null,
"trend": "up",
"timestamp": "2025-03-05 12:17:54 +00:00",
"percentage_delta": 3.4060319999999997
},
{
"type": "google_finance_asset_pair_element",
"base_symbol": "ETH",
"quote_symbol": "USD",
"base_display_name": "Ether",
"quote_display_name": "United States Dollar",
"price": 2224.093353358,
"price_delta": 52.927935349,
"identifier": "ETH-USD",
"displayed_name": "Ether (ETH / USD)",
"url": "https://google.com/finance/quote/ETH-USD?hl=en&gl=us",
"location": null,
"trend": "up",
"timestamp": "2025-03-05 12:16:59 +00:00",
"percentage_delta": 2.437766
},
{
"type": "google_finance_asset_pair_element",
"base_symbol": "ADA",
"quote_symbol": "USD",
"base_display_name": "Cardano",
"quote_display_name": "United States Dollar",
"price": 0.9878919012399999,
"price_delta": 0.048625979379999996,
"identifier": "ADA-USD",
"displayed_name": "Cardano (ADA / USD)",
"url": "https://google.com/finance/quote/ADA-USD?hl=en&gl=us",
"location": null,
"trend": "up",
"timestamp": "2025-03-05 12:16:59 +00:00",
"percentage_delta": 5.177019
},
{
"type": "google_finance_asset_pair_element",
"base_symbol": "XRP",
"quote_symbol": "USD",
"base_display_name": "XRP",
"quote_display_name": "United States Dollar",
"price": 2.48323097252,
"price_delta": 0.028623012799999997,
"identifier": "XRP-USD",
"displayed_name": "XRP (XRP / USD)",
"url": "https://google.com/finance/quote/XRP-USD?hl=en&gl=us",
"location": null,
"trend": "up",
"timestamp": "2025-03-05 12:16:59 +00:00",
"percentage_delta": 1.166093
},
{
"type": "google_finance_asset_pair_element",
"base_symbol": "DOGE",
"quote_symbol": "USD",
"base_display_name": "Dogecoin",
"quote_display_name": "United States Dollar",
"price": 0.2036471558,
"price_delta": 0.00428990596,
"identifier": "DOGE-USD",
"displayed_name": "Dogecoin (DOGE / USD)",
"url": "https://google.com/finance/quote/DOGE-USD?hl=en&gl=us",
"location": null,
"trend": "up",
"timestamp": "2025-03-05 12:16:59 +00:00",
"percentage_delta": 2.151868
}
]
}
]
},
{
"type": "google_finance_interested",
"rank_group": 1,
"rank_absolute": 2,
"items": [
{
"type": "google_finance_market_instrument_element",
"ticker": "GM",
"price": 45.22,
"price_delta": -2.1599998,
"price_currency": "USD",
"identifier": "GM:NYSE",
"displayed_name": "General Motors Co",
"url": "https://google.com/finance/quote/GM:NYSE?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-05 12:18:13 +00:00",
"percentage_delta": -4.558885
},
{
"type": "google_finance_market_instrument_element",
"ticker": "TSLA",
"price": 272.04,
"price_delta": -12.609985,
"price_currency": "USD",
"identifier": "TSLA:NASDAQ",
"displayed_name": "Tesla Inc",
"url": "https://google.com/finance/quote/TSLA:NASDAQ?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-05 12:18:05 +00:00",
"percentage_delta": -4.4299965
},
{
"type": "google_finance_market_index_element",
"ticker": "DAX",
"market_identifier": "INDEXDB",
"index_value": 23074.59,
"index_value_delta": 747.7793,
"identifier": "DAX:INDEXDB",
"displayed_name": "DAX PERFORMANCE-INDEX",
"url": "https://google.com/finance/quote/DAX:INDEXDB?hl=en&gl=us",
"location": "Europe/Berlin",
"trend": "up",
"timestamp": "2025-03-05 12:03:12 +00:00",
"percentage_delta": 3.3492436
},
{
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"price_currency": "USD",
"identifier": "ASTS:NASDAQ",
"displayed_name": "AST SpaceMobile Inc",
"url": "https://google.com/finance/quote/ASTS:NASDAQ?hl=en&gl=us",
"location": "America/New_York",
"trend": "up",
"timestamp": "2025-03-05 12:16:09 +00:00",
"percentage_delta": 11.670568
}
]
}
]
},
{
"type": "google_finance_market_trends_element",
"quote": {
"type": "google_finance_market_instrument_element",
"ticker": "SMR",
"price": 17.23,
"price_delta": 1.7799997,
"price_currency": "USD",
"identifier": "SMR:NYSE",
"displayed_name": "Nuscale Power Corp",
"url": "https://google.com/finance/quote/SMR:NYSE?hl=en&gl=us",
"location": "America/New_York",
"trend": "up",
"timestamp": "2025-03-05 12:18:15 +00:00",
"percentage_delta": 11.521034
},
"news": null
},
{
"type": "google_finance_market_trends_element",
"quote": {
"type": "google_finance_market_instrument_element",
"ticker": "MSTR",
"price": 275.15,
"price_delta": 24.229996,
"price_currency": "USD",
"identifier": "MSTR:NASDAQ",
"displayed_name": "MicroStrategy Inc",
"url": "https://google.com/finance/quote/MSTR:NASDAQ?hl=en&gl=us",
"location": "America/New_York",
"trend": "up",
"timestamp": "2025-03-05 12:18:23 +00:00",
"percentage_delta": 9.656463
},
"news": [
{
"type": "google_finance_news_element",
"title": "MicroStrategy (NasdaqGS:MSTR) Falls 11% After Reporting US$671 Million Net \nLoss",
"url": "https://finance.yahoo.com/news/microstrategy-nasdaqgs-mstr-falls-11-174039356.html",
"source": "Yahoo Finance",
"image_url": "https://encrypted-tbn2.gstatic.com/images?q=tbn:ANd9GcS9rSV2IGLBa9Sqll5HoD98XdcCiv5tOMXdWfT75_CZ86Y95FSbpavCOhGBgxU",
"timestamp": "2025-03-04 17:40:39 +00:00",
"quotes": [
{
"type": "google_finance_market_instrument_element",
"ticker": "MSTR",
"price": 275.15,
"price_delta": 24.229996,
"price_currency": "USD",
"identifier": "MSTR:NASDAQ",
"displayed_name": "MicroStrategy Inc",
"url": "https://google.com/finance/quote/MSTR:NASDAQ?hl=en&gl=us",
"location": "America/New_York",
"trend": "up",
"timestamp": "2025-03-05 12:18:23 +00:00",
"percentage_delta": 9.656463
}
]
}
]
},
{
"type": "google_finance_market_trends_element",
"quote": {
"type": "google_finance_market_instrument_element",
"ticker": "SMCI",
"price": 39.14,
"price_delta": 3.0699997,
"price_currency": "USD",
"identifier": "SMCI:NASDAQ",
"displayed_name": "Super Micro Computer Inc",
"url": "https://google.com/finance/quote/SMCI:NASDAQ?hl=en&gl=us",
"location": "America/New_York",
"trend": "up",
"timestamp": "2025-03-05 12:18:17 +00:00",
"percentage_delta": 8.511228
},
"news": [
{
"type": "google_finance_news_element",
"title": "SMCI Stock Climbs Nearly 4% In Wednesday Pre-Market: What's Going On?",
"url": "https://www.benzinga.com/25/03/44136680/smci-stock-climbs-nearly-3-in-wednesday-pre-market-whats-going-on",
"source": "Benzinga",
"image_url": "https://encrypted-tbn1.gstatic.com/images?q=tbn:ANd9GcRiBrG8HMmvsqHJ6qzyk53PM6U_OuZNeP2HyKhvUHUMrzjEXEnznBv1kWuiT_s",
"timestamp": "2025-03-05 10:59:53 +00:00",
"quotes": [
{
"type": "google_finance_market_instrument_element",
"ticker": "SMCI",
"price": 39.14,
"price_delta": 3.0699997,
"price_currency": "USD",
"identifier": "SMCI:NASDAQ",
"displayed_name": "Super Micro Computer Inc",
"url": "https://google.com/finance/quote/SMCI:NASDAQ?hl=en&gl=us",
"location": "America/New_York",
"trend": "up",
"timestamp": "2025-03-05 12:18:17 +00:00",
"percentage_delta": 8.511228
}
]
}
]
},
{
"type": "google_finance_market_trends_element",
"quote": {
"type": "google_finance_market_instrument_element",
"ticker": "CRDO",
"price": 54.32,
"price_delta": 3.9000015,
"price_currency": "USD",
"identifier": "CRDO:NASDAQ",
"displayed_name": "Credo Technology Group Holding Ltd",
"url": "https://google.com/finance/quote/CRDO:NASDAQ?hl=en&gl=us",
"location": "America/New_York",
"trend": "up",
"timestamp": "2025-03-05 12:18:01 +00:00",
"percentage_delta": 7.735029
},
"news": [
{
"type": "google_finance_news_element",
"title": "Credo Technology Delivers Record Q3 Revenue With 154% YoY Growth and Strong \nProfitability",
"url": "https://www.stocktitan.net/news/CRDO/credo-reports-third-quarter-of-fiscal-year-2025-financial-r44wtans7h16.html",
"source": "Stock Titan",
"image_url": "https://encrypted-tbn1.gstatic.com/images?q=tbn:ANd9GcSU8R8nwkGtrwvurTaeEgxZ2upSz-vS8MhxwB8X1Gu9_4YljNr7FuNv5_6uL_4",
"timestamp": "2025-03-04 21:05:00 +00:00",
"quotes": [
{
"type": "google_finance_market_instrument_element",
"ticker": "CRDO",
"price": 54.32,
"price_delta": 3.9000015,
"price_currency": "USD",
"identifier": "CRDO:NASDAQ",
"displayed_name": "Credo Technology Group Holding Ltd",
"url": "https://google.com/finance/quote/CRDO:NASDAQ?hl=en&gl=us",
"location": "America/New_York",
"trend": "up",
"timestamp": "2025-03-05 12:18:01 +00:00",
"percentage_delta": 7.735029
}
]
}
]
}
],
"losers": [
{
"type": "google_finance_market_trends_element",
"quote": {
"type": "google_finance_market_instrument_element",
"ticker": "AFRM",
"price": 57.01,
"price_delta": -4.8500023,
"price_currency": "USD",
"identifier": "AFRM:NASDAQ",
"displayed_name": "Affirm Holdings Inc",
"url": "https://google.com/finance/quote/AFRM:NASDAQ?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-05 12:10:11 +00:00",
"percentage_delta": -7.840288
},
"news": null
},
{
"type": "google_finance_market_trends_element",
"quote": {
"type": "google_finance_market_instrument_element",
"ticker": "IP",
"price": 51.3,
"price_delta": -4.010002,
"price_currency": "USD",
"identifier": "IP:NYSE",
"displayed_name": "International Paper Co",
"url": "https://google.com/finance/quote/IP:NYSE?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-05 12:01:47 +00:00",
"percentage_delta": -7.250049
},
"news": [
{
"type": "google_finance_news_element",
"title": "Citi sets International Paper stock Buy rating, $60 target",
"url": "https://www.investing.com/news/analyst-ratings/citi-sets-international-paper-stock-buy-rating-60-target-93CH-3908324",
"source": "Investing.com",
"image_url": "https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQSVAHQ_FrqJuSWyas0JtgaXTaPfVQA4ymwmu8U5SeaNVYiTUcKA2kw0L2ovVQ",
"timestamp": "2025-03-05 11:39:45 +00:00",
"quotes": null
}
]
},
{
"type": "google_finance_market_trends_element",
"quote": {
"type": "google_finance_market_instrument_element",
"ticker": "BAC",
"price": 42.67,
"price_delta": -2.8900032,
"price_currency": "USD",
"identifier": "BAC:NYSE",
"displayed_name": "Bank of America Corp",
"url": "https://google.com/finance/quote/BAC:NYSE?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-05 12:18:06 +00:00",
"percentage_delta": -6.3432903
},
"news": [
{
"type": "google_finance_news_element",
"title": "Bank Of America (BAC) Shares Plunge Over 6%",
"url": "https://financefeeds.com/bank-of-america-bac-shares-plunge-over-6/",
"source": "FinanceFeeds",
"image_url": "https://encrypted-tbn1.gstatic.com/images?q=tbn:ANd9GcQveidoA9jyMn86mGinCXFGzsukv1Ly4UvHHFyOUbgXTVq7GP6mC2dgXCM0kFg",
"timestamp": "2025-03-05 10:47:18 +00:00",
"quotes": [
{
"type": "google_finance_market_instrument_element",
"ticker": "BAC",
"price": 42.67,
"price_delta": -2.8900032,
"price_currency": "USD",
"identifier": "BAC:NYSE",
"displayed_name": "Bank of America Corp",
"url": "https://google.com/finance/quote/BAC:NYSE?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-05 12:18:06 +00:00",
"percentage_delta": -6.3432903
}
]
}
]
},
{
"type": "google_finance_market_trends_element",
"quote": {
"type": "google_finance_market_instrument_element",
"ticker": "INTC",
"price": 21.33,
"price_delta": -1.4099998,
"price_currency": "USD",
"identifier": "INTC:NASDAQ",
"displayed_name": "Intel Corp",
"url": "https://google.com/finance/quote/INTC:NASDAQ?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-05 12:18:07 +00:00",
"percentage_delta": -6.200527
},
"news": [
{
"type": "google_finance_news_element",
"title": "TSMC's $100 Billion Gamble: Will Intel Be Left Behind in the U.S. Chip War?",
"url": "https://finance.yahoo.com/news/tsmcs-100-billion-gamble-intel-164049499.html",
"source": "Yahoo Finance",
"image_url": "https://encrypted-tbn3.gstatic.com/images?q=tbn:ANd9GcRRPhpcAOT_A7emjTTp-zncB5Vrmv6tOrB5hdn0Wket_gYxajv8deHkA2E5ELs",
"timestamp": "2025-03-04 16:40:49 +00:00",
"quotes": [
{
"type": "google_finance_market_instrument_element",
"ticker": "2330",
"price": 1020,
"price_delta": 20,
"price_currency": "TWD",
"identifier": "2330:TPE",
"displayed_name": "Taiwan Semiconductor Manufacturng Co Ltd",
"url": "https://google.com/finance/quote/2330:TPE?hl=en&gl=us",
"location": "Asia/Taipei",
"trend": "up",
"timestamp": "2025-03-05 06:33:54 +00:00",
"percentage_delta": 2
},
{
"type": "google_finance_market_instrument_element",
"ticker": "INTC",
"price": 21.33,
"price_delta": -1.4099998,
"price_currency": "USD",
"identifier": "INTC:NASDAQ",
"displayed_name": "Intel Corp",
"url": "https://google.com/finance/quote/INTC:NASDAQ?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-05 12:18:07 +00:00",
"percentage_delta": -6.200527
}
]
}
]
},
{
"type": "google_finance_market_trends_element",
"quote": {
"type": "google_finance_market_instrument_element",
"ticker": "SOUN",
"price": 9.715,
"price_delta": -0.60499954,
"price_currency": "USD",
"identifier": "SOUN:NASDAQ",
"displayed_name": "SoundHound AI Inc",
"url": "https://google.com/finance/quote/SOUN:NASDAQ?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-05 12:16:38 +00:00",
"percentage_delta": -5.8623986
},
"news": [
{
"type": "google_finance_news_element",
"title": "SoundHound Stock Sinks On Late-Filing Notice",
"url": "https://www.investors.com/news/technology/soundhound-stock-sinks-late-filing-notice/",
"source": "Investor's Business Daily",
"image_url": "https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcS7l_LWkTNXIIcME9QR9DM5O6_EiiNV9X62Y7I5NnW93ncCBHBYrRSZcXTteB8",
"timestamp": "2025-03-04 21:27:00 +00:00",
"quotes": [
{
"type": "google_finance_market_instrument_element",
"ticker": "SOUN",
"price": 9.715,
"price_delta": -0.60499954,
"price_currency": "USD",
"identifier": "SOUN:NASDAQ",
"displayed_name": "SoundHound AI Inc",
"url": "https://google.com/finance/quote/SOUN:NASDAQ?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-05 12:14:27 +00:00",
"percentage_delta": -5.8623986
}
]
}
]
},
{
"type": "google_finance_market_trends_element",
"quote": {
"type": "google_finance_market_instrument_element",
"ticker": "CCL",
"price": 21.91,
"price_delta": -1.3500004,
"price_currency": "USD",
"identifier": "CCL:NYSE",
"displayed_name": "Carnival Corp",
"url": "https://google.com/finance/quote/CCL:NYSE?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-05 12:18:11 +00:00",
"percentage_delta": -5.803957
},
"news": [
{
"type": "google_finance_news_element",
"title": "Where Will Carnival Stock Be in 1 Year?",
"url": "https://www.fool.com/investing/2025/03/02/where-will-carnival-stock-be-in-1-year/",
"source": "The Motley Fool",
"image_url": "https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQyXbUDO9kPIGbGjscDGDWlae6K7oXdOdq8ZmlbdLMh5xL7ryxPfKNd1CGCZDA",
"timestamp": "2025-03-03 02:39:00 +00:00",
"quotes": [
{
"type": "google_finance_market_instrument_element",
"ticker": "CCL",
"price": 21.91,
"price_delta": -1.3500004,
"price_currency": "USD",
"identifier": "CCL:NYSE",
"displayed_name": "Carnival Corp",
"url": "https://google.com/finance/quote/CCL:NYSE?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-05 12:18:11 +00:00",
"percentage_delta": -5.803957
}
]
}
]
}
]
}
},
{
"type": "google_finance_interested",
"rank_group": 2,
"rank_absolute": 7,
"items": [
{
"type": "google_finance_market_index_element",
"ticker": ".DJI",
"market_identifier": "INDEXDJX",
"index_value": 42520.99,
"index_value_delta": -670.25,
"identifier": ".DJI:INDEXDJX",
"displayed_name": "Dow Jones Industrial Average",
"url": "https://google.com/finance/quote/.DJI:INDEXDJX?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-04 21:52:59 +00:00",
"percentage_delta": -1.5518193
},
{
"type": "google_finance_market_index_element",
"ticker": ".INX",
"market_identifier": "INDEXSP",
"index_value": 5778.15,
"index_value_delta": -71.57031,
"identifier": ".INX:INDEXSP",
"displayed_name": "S&P 500",
"url": "https://google.com/finance/quote/.INX:INDEXSP?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-04 21:52:59 +00:00",
"percentage_delta": -1.2234826
},
{
"type": "google_finance_market_instrument_element",
"ticker": "TSLA",
"price": 272.04,
"price_delta": -12.609985,
"price_currency": "USD",
"identifier": "TSLA:NASDAQ",
"displayed_name": "Tesla Inc",
"url": "https://google.com/finance/quote/TSLA:NASDAQ?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-05 12:18:05 +00:00",
"percentage_delta": -4.4299965
},
{
"type": "google_finance_market_instrument_element",
"ticker": "AAPL",
"price": 235.93,
"price_delta": -2.100006,
"price_currency": "USD",
"identifier": "AAPL:NASDAQ",
"displayed_name": "Apple Inc",
"url": "https://google.com/finance/quote/AAPL:NASDAQ?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-05 12:18:06 +00:00",
"percentage_delta": -0.8822443
},
{
"type": "google_finance_market_index_element",
"ticker": "DAX",
"market_identifier": "INDEXDB",
"index_value": 23074.59,
"index_value_delta": 747.7793,
"identifier": "DAX:INDEXDB",
"displayed_name": "DAX PERFORMANCE-INDEX",
"url": "https://google.com/finance/quote/DAX:INDEXDB?hl=en&gl=us",
"location": "Europe/Berlin",
"trend": "up",
"timestamp": "2025-03-05 12:03:12 +00:00",
"percentage_delta": 3.3492436
},
{
"type": "google_finance_market_instrument_element",
"ticker": "AMZN",
"price": 203.8,
"price_delta": -1.2200012,
"price_currency": "USD",
"identifier": "AMZN:NASDAQ",
"displayed_name": "Amazon.com Inc",
"url": "https://google.com/finance/quote/AMZN:NASDAQ?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-05 12:18:00 +00:00",
"percentage_delta": -0.59506446
},
{
"type": "google_finance_market_index_element",
"ticker": "UKX",
"market_identifier": "INDEXFTSE",
"index_value": 8794.22,
"index_value_delta": 35.219727,
"identifier": "UKX:INDEXFTSE",
"displayed_name": "FTSE 100 Index",
"url": "https://google.com/finance/quote/UKX:INDEXFTSE?hl=en&gl=us",
"location": "Europe/London",
"trend": "up",
"timestamp": "2025-03-05 12:18:23 +00:00",
"percentage_delta": 0.40209758
},
{
"type": "google_finance_market_instrument_element",
"ticker": "GM",
"price": 45.22,
"price_delta": -2.1599998,
"price_currency": "USD",
"identifier": "GM:NYSE",
"displayed_name": "General Motors Co",
"url": "https://google.com/finance/quote/GM:NYSE?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-05 12:18:13 +00:00",
"percentage_delta": -4.558885
},
{
"type": "google_finance_market_index_element",
"ticker": "NDX",
"market_identifier": "INDEXNASDAQ",
"index_value": 20352.527,
"index_value_delta": -73.05664,
"identifier": "NDX:INDEXNASDAQ",
"displayed_name": "Nasdaq-100",
"url": "https://google.com/finance/quote/NDX:INDEXNASDAQ?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-04 22:15:59 +00:00",
"percentage_delta": -0.3576722
},
{
"type": "google_finance_market_instrument_element",
"ticker": "F",
"price": 9.12,
"price_delta": -0.27000046,
"price_currency": "USD",
"identifier": "F:NYSE",
"displayed_name": "Ford Motor Co",
"url": "https://google.com/finance/quote/F:NYSE?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-05 12:17:09 +00:00",
"percentage_delta": -2.8754041
}
]
}
]
}
]
}
]
}
After setting a task, the endpoint returns a JSON response with data from all elements displayed on the “Explore” tab. The response data is divided into respective items, containing detailed information for every element. For example, within the google_finance_most_followed
item, you will find descriptions of recommended stocks or indexes that include market identifiers, current prices, and trends.
The applications for data provided are vast. You can use it for creating custom financial dashboards, sending reports or notifications about market changes, and more.
2 Google Finance Markets
With the help of the Google Finance Markets endpoint, you can obtain the information from the “Markets” tab of Google Finance. This tab displays current trends in different markets, as well as related market news.
On this tab, users can explore market trends divided by trend type and see the lists of financial instruments affected by these trends.
The Google Finance Markets endpoint can pull the stock and trends data directly from this tab. The endpoint’s task-setting process is similar to that of the Google Finance Explore endpoint. You can also specify the location and language to get country-specific data. However, in this case, you can choose the type of market trends data by specifying the market_type
parameter.
Request example:
[
{
"language_name": "English",
"location_name": "United States",
"market_type": "cryptocurrencies"
}
]
Response example:
{
"version": "0.1.20241227",
"status_code": 20000,
"status_message": "Ok.",
"time": "1.7625 sec.",
"cost": 0.002,
"tasks_count": 1,
"tasks_error": 0,
"tasks": [
{
"id": "03051420-1535-0139-0000-507f9952f1d4",
"status_code": 20000,
"status_message": "Ok.",
"time": "1.6558 sec.",
"cost": 0.002,
"result_count": 1,
"path": [
"v3",
"serp",
"google",
"finance_markets",
"live",
"advanced"
],
"data": {
"api": "serp",
"function": "live",
"se": "google",
"se_type": "finance_markets",
"language_name": "English",
"location_name": "United States",
"market_type": "cryptocurrencies",
"device": "desktop",
"os": "windows"
},
"result": [
{
"keyword": "",
"type": "finance_markets",
"se_domain": "google.com",
"location_code": 2840,
"language_code": "en",
"check_url": "https://www.google.com/finance/markets/cryptocurrencies?hl=en&gl=us",
"datetime": "2025-03-05 12:20:17 +00:00",
"spell": null,
"refinement_chips": null,
"item_types": [
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"index_value": 42520.99,
"index_value_delta": -670.25,
"identifier": ".DJI:INDEXDJX",
"displayed_name": "Dow Jones Industrial Average",
"url": "https://google.com/finance/quote/.DJI:INDEXDJX?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-04 21:52:59 +00:00",
"percentage_delta": -1.5518193
},
{
"type": "google_finance_market_index_element",
"ticker": ".INX",
"market_identifier": "INDEXSP",
"index_value": 5778.15,
"index_value_delta": -71.57031,
"identifier": ".INX:INDEXSP",
"displayed_name": "S&P 500",
"url": "https://google.com/finance/quote/.INX:INDEXSP?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-04 21:52:59 +00:00",
"percentage_delta": -1.2234826
},
{
"type": "google_finance_market_instrument_element",
"ticker": "TSLA",
"price": 272.04,
"price_delta": -12.609985,
"price_currency": "USD",
"identifier": "TSLA:NASDAQ",
"displayed_name": "Tesla Inc",
"url": "https://google.com/finance/quote/TSLA:NASDAQ?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-05 12:19:55 +00:00",
"percentage_delta": -4.4299965
},
{
"type": "google_finance_market_instrument_element",
"ticker": "AAPL",
"price": 235.93,
"price_delta": -2.100006,
"price_currency": "USD",
"identifier": "AAPL:NASDAQ",
"displayed_name": "Apple Inc",
"url": "https://google.com/finance/quote/AAPL:NASDAQ?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-05 12:19:31 +00:00",
"percentage_delta": -0.8822443
},
{
"type": "google_finance_market_index_element",
"ticker": "DAX",
"market_identifier": "INDEXDB",
"index_value": 23064.71,
"index_value_delta": 737.9004,
"identifier": "DAX:INDEXDB",
"displayed_name": "DAX PERFORMANCE-INDEX",
"url": "https://google.com/finance/quote/DAX:INDEXDB?hl=en&gl=us",
"location": "Europe/Berlin",
"trend": "up",
"timestamp": "2025-03-05 12:04:48 +00:00",
"percentage_delta": 3.304997
},
{
"type": "google_finance_market_instrument_element",
"ticker": "AMZN",
"price": 203.8,
"price_delta": -1.2200012,
"price_currency": "USD",
"identifier": "AMZN:NASDAQ",
"displayed_name": "Amazon.com Inc",
"url": "https://google.com/finance/quote/AMZN:NASDAQ?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-05 12:19:31 +00:00",
"percentage_delta": -0.59506446
},
{
"type": "google_finance_market_index_element",
"ticker": "UKX",
"market_identifier": "INDEXFTSE",
"index_value": 8792.67,
"index_value_delta": 33.66992,
"identifier": "UKX:INDEXFTSE",
"displayed_name": "FTSE 100 Index",
"url": "https://google.com/finance/quote/UKX:INDEXFTSE?hl=en&gl=us",
"location": "Europe/London",
"trend": "up",
"timestamp": "2025-03-05 12:19:48 +00:00",
"percentage_delta": 0.3844037
},
{
"type": "google_finance_market_instrument_element",
"ticker": "GM",
"price": 45.22,
"price_delta": -2.1599998,
"price_currency": "USD",
"identifier": "GM:NYSE",
"displayed_name": "General Motors Co",
"url": "https://google.com/finance/quote/GM:NYSE?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-05 12:19:56 +00:00",
"percentage_delta": -4.558885
},
{
"type": "google_finance_market_index_element",
"ticker": "NDX",
"market_identifier": "INDEXNASDAQ",
"index_value": 20352.527,
"index_value_delta": -73.05664,
"identifier": "NDX:INDEXNASDAQ",
"displayed_name": "Nasdaq-100",
"url": "https://google.com/finance/quote/NDX:INDEXNASDAQ?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-04 22:15:59 +00:00",
"percentage_delta": -0.3576722
},
{
"type": "google_finance_market_instrument_element",
"ticker": "F",
"price": 9.12,
"price_delta": -0.27000046,
"price_currency": "USD",
"identifier": "F:NYSE",
"displayed_name": "Ford Motor Co",
"url": "https://google.com/finance/quote/F:NYSE?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-05 12:19:39 +00:00",
"percentage_delta": -2.8754041
}
]
}
]
}
]
}
]
}
In the response, you will get data structured by items respective to the elements displayed on the “Markets” tab. In particular, you’ll receive the list of financial instruments from the “Explore market trends” element. The list of instruments is related to the trend type you choose when setting a task. This way, you can get information on gaining or losing stocks, most active stocks, cryptocurrencies, and more.
You can leverage such detailed market trends data for various purposes. For instance, it can be used as a data source for market sentiment analysis tools. Such tools will use the data to summarize the trend changes over time and generate detailed reports on the current market status and volatility.
3 Google Finance Quote
The Google Finance Quote endpoint is designed to pull data for specific financial instruments from the “Quote” tab of Google Finance, which is created for every available financial instrument. This tab appears when you search for stocks, indexes, or currencies on Google Finance.
On the “Quote” tab, users can find all the necessary information about the selected financial instrument, including its current price, general information, and related news. Additionally, they can explore the graph with historical trading data for specified quotes and select different time ranges.
The task-setting process for the Google Finance Explore endpoint is much more different than the previous ones. First, you must specify the correct identifier of the financial instrument for which you want to get data. There are different identifiers for various types of financial instruments; you can learn about them in this Help Center article. If you don’t know or can’t find the correct identifier for a stock or index, you can get it by using the Google Finance Ticker Search endpoint.
After that, you should specify the language and location. Additionally, you can use the window
parameter to get historical data on selected stocks or indexes for a specific timeframe.
Request example:
[
{
"language_name": "English",
"location_code": 2840,
"keyword": "AAPL:NASDAQ",
"window": "5D"
}
]
Response example:
{
"version": "0.1.20241227",
"status_code": 20000,
"status_message": "Ok.",
"time": "2.6061 sec.",
"cost": 0.004,
"tasks_count": 1,
"tasks_error": 0,
"tasks": [
{
"id": "03051421-1535-0139-0000-311fd9ffa4f5",
"status_code": 20000,
"status_message": "Ok.",
"time": "2.5217 sec.",
"cost": 0.004,
"result_count": 1,
"path": [
"v3",
"serp",
"google",
"finance_quote",
"live",
"advanced"
],
"data": {
"api": "serp",
"function": "live",
"se": "google",
"se_type": "finance_quote",
"language_name": "English",
"location_code": 2840,
"keyword": "AAPL:NASDAQ",
"window": "5D",
"device": "desktop",
"os": "windows"
},
"result": [
{
"keyword": "AAPL:NASDAQ",
"type": "finance_quote",
"se_domain": "google.com",
"location_code": 2840,
"language_code": "en",
"check_url": "https://www.google.com/finance/quote/AAPL:NASDAQ?hl=en&gl=us&window=5d",
"datetime": "2025-03-05 12:21:32 +00:00",
"spell": null,
"refinement_chips": null,
"item_types": [
"google_finance_hero_groups",
"google_finance_quote",
"google_finance_compare_to",
"google_finance_news",
"google_finance_financial",
"google_finance_details",
"google_finance_about",
"google_finance_interested",
"google_finance_people_also_search"
],
"se_results_count": 0,
"items_count": 12,
"items": [
{
"type": "google_finance_hero_groups",
"rank_group": 1,
"rank_absolute": 1,
"markets": [
{
"market": "Futures",
"items": [
{
"type": "google_finance_market_instrument_element",
"ticker": "YMW00",
"price": 42746,
"price_delta": 152,
"price_currency": "USD",
"identifier": "YMW00:CBOT",
"displayed_name": "E-mini Dow ($5)",
"url": "https://google.com/finance/quote/YMW00:CBOT?hl=en&gl=us",
"location": null,
"trend": "up",
"timestamp": "2025-03-05 12:11:12 +00:00",
"percentage_delta": 0.35685778
},
{
"type": "google_finance_market_instrument_element",
"ticker": "ESW00",
"price": 5816,
"price_delta": 26.5,
"price_currency": "USD",
"identifier": "ESW00:CME_EMINIS",
"displayed_name": "E-mini S&P 500",
"url": "https://google.com/finance/quote/ESW00:CME_EMINIS?hl=en&gl=us",
"location": null,
"trend": "up",
"timestamp": "2025-03-05 12:11:14 +00:00",
"percentage_delta": 0.4577252
},
{
"type": "google_finance_market_instrument_element",
"ticker": "NQW00",
"price": 20520.25,
"price_delta": 121.25,
"price_currency": "USD",
"identifier": "NQW00:CME_EMINIS",
"displayed_name": "E-mini NASDAQ 100",
"url": "https://google.com/finance/quote/NQW00:CME_EMINIS?hl=en&gl=us",
"location": null,
"trend": "up",
"timestamp": "2025-03-05 12:11:04 +00:00",
"percentage_delta": 0.5943919
},
{
"type": "google_finance_market_instrument_element",
"ticker": "GCW00",
"price": 2926.800048828125,
"price_delta": 6.199951,
"price_currency": "USD",
"identifier": "GCW00:COMEX",
"displayed_name": "Gold",
"url": "https://google.com/finance/quote/GCW00:COMEX?hl=en&gl=us",
"location": null,
"trend": "up",
"timestamp": "2025-03-05 12:11:18 +00:00",
"percentage_delta": 0.21228346
},
{
"type": "google_finance_market_instrument_element",
"ticker": "CLW00",
"price": 67.16000366210938,
"price_delta": -1.0999985,
"price_currency": "USD",
"identifier": "CLW00:NYMEX",
"displayed_name": "Crude Oil",
"url": "https://google.com/finance/quote/CLW00:NYMEX?hl=en&gl=us",
"location": null,
"trend": "down",
"timestamp": "2025-03-05 12:11:08 +00:00",
"percentage_delta": -1.6114832
}
]
},
{
"market": "US",
"items": [
{
"type": "google_finance_market_index_element",
"ticker": ".DJI",
"market_identifier": "INDEXDJX",
"index_value": 42520.99,
"index_value_delta": -670.25,
"identifier": ".DJI:INDEXDJX",
"displayed_name": "Dow Jones Industrial Average",
"url": "https://google.com/finance/quote/.DJI:INDEXDJX?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-04 21:52:59 +00:00",
"percentage_delta": -1.5518193
},
{
"type": "google_finance_market_index_element",
"ticker": ".INX",
"market_identifier": "INDEXSP",
"index_value": 5778.15,
"index_value_delta": -71.57031,
"identifier": ".INX:INDEXSP",
"displayed_name": "S&P 500",
"url": "https://google.com/finance/quote/.INX:INDEXSP?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-04 21:52:59 +00:00",
"percentage_delta": -1.2234826
},
{
"type": "google_finance_market_index_element",
"ticker": ".IXIC",
"market_identifier": "INDEXNASDAQ",
"index_value": 18285.162,
"index_value_delta": -65.0293,
"identifier": ".IXIC:INDEXNASDAQ",
"displayed_name": "Nasdaq Composite",
"url": "https://google.com/finance/quote/.IXIC:INDEXNASDAQ?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-04 22:15:59 +00:00",
"percentage_delta": -0.3543794
},
{
"type": "google_finance_market_index_element",
"ticker": "RUT",
"market_identifier": "INDEXRUSSELL",
"index_value": 2079.5327,
"index_value_delta": -22.702393,
"identifier": "RUT:INDEXRUSSELL",
"displayed_name": "Russell 2000 Index",
"url": "https://google.com/finance/quote/RUT:INDEXRUSSELL?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-04 21:30:10 +00:00",
"percentage_delta": -1.079917
},
{
"type": "google_finance_market_index_element",
"ticker": "VIX",
"market_identifier": "INDEXCBOE",
"index_value": 23.42,
"index_value_delta": 0.6399994,
"identifier": "VIX:INDEXCBOE",
"displayed_name": "VIX",
"url": "https://google.com/finance/quote/VIX:INDEXCBOE?hl=en&gl=us",
"location": "America/Chicago",
"trend": "up",
"timestamp": "2025-03-05 12:05:46 +00:00",
"percentage_delta": 2.8094792
}
]
},
{
"market": "Europe",
"items": [
{
"type": "google_finance_market_index_element",
"ticker": "DAX",
"market_identifier": "INDEXDB",
"index_value": 23053.28,
"index_value_delta": 726.46875,
"identifier": "DAX:INDEXDB",
"displayed_name": "DAX PERFORMANCE-INDEX",
"url": "https://google.com/finance/quote/DAX:INDEXDB?hl=en&gl=us",
"location": "Europe/Berlin",
"trend": "up",
"timestamp": "2025-03-05 12:05:54 +00:00",
"percentage_delta": 3.2537954
},
{
"type": "google_finance_market_index_element",
"ticker": "UKX",
"market_identifier": "INDEXFTSE",
"index_value": 8791.21,
"index_value_delta": 32.20996,
"identifier": "UKX:INDEXFTSE",
"displayed_name": "FTSE 100 Index",
"url": "https://google.com/finance/quote/UKX:INDEXFTSE?hl=en&gl=us",
"location": "Europe/London",
"trend": "up",
"timestamp": "2025-03-05 12:21:07 +00:00",
"percentage_delta": 0.3677356
},
{
"type": "google_finance_market_index_element",
"ticker": "PX1",
"market_identifier": "INDEXEURO",
"index_value": 8201.66,
"index_value_delta": 153.74023,
"identifier": "PX1:INDEXEURO",
"displayed_name": "CAC 40",
"url": "https://google.com/finance/quote/PX1:INDEXEURO?hl=en&gl=us",
"location": "Europe/Paris",
"trend": "up",
"timestamp": "2025-03-05 12:05:30 +00:00",
"percentage_delta": 1.9103101
},
{
"type": "google_finance_market_index_element",
"ticker": "INDI",
"market_identifier": "INDEXBME",
"index_value": 13212,
"index_value_delta": 180.2998,
"identifier": "INDI:INDEXBME",
"displayed_name": "IBEX 35",
"url": "https://google.com/finance/quote/INDI:INDEXBME?hl=en&gl=us",
"location": "Europe/Madrid",
"trend": "up",
"timestamp": "2025-03-05 12:05:50 +00:00",
"percentage_delta": 1.3835478
},
{
"type": "google_finance_market_index_element",
"ticker": "SX5E",
"market_identifier": "INDEXSTOXX",
"index_value": 5502.65,
"index_value_delta": 115.33984,
"identifier": "SX5E:INDEXSTOXX",
"displayed_name": "EURO STOXX 50",
"url": "https://google.com/finance/quote/SX5E:INDEXSTOXX?hl=en&gl=us",
"location": "Europe/Berlin",
"trend": "up",
"timestamp": "2025-03-05 12:05:45 +00:00",
"percentage_delta": 2.1409543
}
]
},
{
"market": "Asia",
"items": [
{
"type": "google_finance_market_index_element",
"ticker": "NI225",
"market_identifier": "INDEXNIKKEI",
"index_value": 37418.24,
"index_value_delta": 87.05859,
"identifier": "NI225:INDEXNIKKEI",
"displayed_name": "Nikkei 225",
"url": "https://google.com/finance/quote/NI225:INDEXNIKKEI?hl=en&gl=us",
"location": "Asia/Tokyo",
"trend": "up",
"timestamp": "2025-03-05 10:00:00 +00:00",
"percentage_delta": 0.23320611
},
{
"type": "google_finance_market_index_element",
"ticker": "000001",
"market_identifier": "SHA",
"index_value": 3341.9648,
"index_value_delta": 17.754883,
"identifier": "000001:SHA",
"displayed_name": "SSE Composite Index",
"url": "https://google.com/finance/quote/000001:SHA?hl=en&gl=us",
"location": "Asia/Shanghai",
"trend": "up",
"timestamp": "2025-03-05 08:15:00 +00:00",
"percentage_delta": 0.53410834
},
{
"type": "google_finance_market_index_element",
"ticker": "HSI",
"market_identifier": "INDEXHANGSENG",
"index_value": 23594.21,
"index_value_delta": 652.4414,
"identifier": "HSI:INDEXHANGSENG",
"displayed_name": "Hang Seng Index",
"url": "https://google.com/finance/quote/HSI:INDEXHANGSENG?hl=en&gl=us",
"location": "Asia/Hong_Kong",
"trend": "up",
"timestamp": "2025-03-05 08:08:38 +00:00",
"percentage_delta": 2.8439019
},
{
"type": "google_finance_market_index_element",
"ticker": "SENSEX",
"market_identifier": "INDEXBOM",
"index_value": 73730.23,
"index_value_delta": 740.2969,
"identifier": "SENSEX:INDEXBOM",
"displayed_name": "BSE SENSEX",
"url": "https://google.com/finance/quote/SENSEX:INDEXBOM?hl=en&gl=us",
"location": "Asia/Calcutta",
"trend": "up",
"timestamp": "2025-03-05 10:00:47 +00:00",
"percentage_delta": 1.0142453
},
{
"type": "google_finance_market_index_element",
"ticker": "NIFTY_50",
"market_identifier": "INDEXNSE",
"index_value": 22337.3,
"index_value_delta": 254.65039,
"identifier": "NIFTY_50:INDEXNSE",
"displayed_name": "NIFTY 50",
"url": "https://google.com/finance/quote/NIFTY_50:INDEXNSE?hl=en&gl=us",
"location": "Asia/Calcutta",
"trend": "up",
"timestamp": "2025-03-05 10:01:11 +00:00",
"percentage_delta": 1.1531695
}
]
},
{
"market": "Currencies",
"items": [
{
"type": "google_finance_asset_pair_element",
"base_symbol": "EUR",
"quote_symbol": "USD",
"base_display_name": "Euro",
"quote_display_name": "United States Dollar",
"price": 1.06944437,
"price_delta": 0.00689437,
"identifier": "EUR-USD",
"displayed_name": "EUR / USD",
"url": "https://google.com/finance/quote/EUR-USD?hl=en&gl=us",
"location": null,
"trend": "up",
"timestamp": "2025-03-05 12:20:05 +00:00",
"percentage_delta": 0.6488513
},
{
"type": "google_finance_asset_pair_element",
"base_symbol": "USD",
"quote_symbol": "JPY",
"base_display_name": "United States Dollar",
"quote_display_name": "Japanese Yen",
"price": 149.273,
"price_delta": -0.5325,
"identifier": "USD-JPY",
"displayed_name": "USD / JPY",
"url": "https://google.com/finance/quote/USD-JPY?hl=en&gl=us",
"location": null,
"trend": "down",
"timestamp": "2025-03-05 12:20:05 +00:00",
"percentage_delta": -0.3554609000000001
},
{
"type": "google_finance_asset_pair_element",
"base_symbol": "GBP",
"quote_symbol": "USD",
"base_display_name": "Pound sterling",
"quote_display_name": "United States Dollar",
"price": 1.28367233,
"price_delta": 0.00441233,
"identifier": "GBP-USD",
"displayed_name": "GBP / USD",
"url": "https://google.com/finance/quote/GBP-USD?hl=en&gl=us",
"location": null,
"trend": "up",
"timestamp": "2025-03-05 12:20:05 +00:00",
"percentage_delta": 0.34491259999999996
},
{
"type": "google_finance_asset_pair_element",
"base_symbol": "USD",
"quote_symbol": "CAD",
"base_display_name": "United States Dollar",
"quote_display_name": "Canadian Dollar",
"price": 1.439335,
"price_delta": -0.00047999999999999996,
"identifier": "USD-CAD",
"displayed_name": "USD / CAD",
"url": "https://google.com/finance/quote/USD-CAD?hl=en&gl=us",
"location": null,
"trend": "down",
"timestamp": "2025-03-05 12:20:05 +00:00",
"percentage_delta": -0.033337610000000004
},
{
"type": "google_finance_asset_pair_element",
"base_symbol": "AUD",
"quote_symbol": "USD",
"base_display_name": "Australian Dollar",
"quote_display_name": "United States Dollar",
"price": 0.62863,
"price_delta": 0.0018399999999999998,
"identifier": "AUD-USD",
"displayed_name": "AUD / USD",
"url": "https://google.com/finance/quote/AUD-USD?hl=en&gl=us",
"location": null,
"trend": "up",
"timestamp": "2025-03-05 12:21:05 +00:00",
"percentage_delta": 0.2935592000000001
}
]
},
{
"market": "Crypto",
"items": [
{
"type": "google_finance_asset_pair_element",
"base_symbol": "BTC",
"quote_symbol": "USD",
"base_display_name": "Bitcoin",
"quote_display_name": "United States Dollar",
"price": 90571.07,
"price_delta": 3286.81,
"identifier": "BTC-USD",
"displayed_name": "Bitcoin (BTC / USD)",
"url": "https://google.com/finance/quote/BTC-USD?hl=en&gl=us",
"location": null,
"trend": "up",
"timestamp": "2025-03-05 12:20:58 +00:00",
"percentage_delta": 3.765638
},
{
"type": "google_finance_asset_pair_element",
"base_symbol": "ETH",
"quote_symbol": "USD",
"base_display_name": "Ether",
"quote_display_name": "United States Dollar",
"price": 2226.4239945478002,
"price_delta": 55.2585765388,
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{
"type": "google_finance_market_index_element",
"ticker": "DAX",
"market_identifier": "INDEXDB",
"index_value": 23053.28,
"index_value_delta": 726.46875,
"identifier": "DAX:INDEXDB",
"displayed_name": "DAX PERFORMANCE-INDEX",
"url": "https://google.com/finance/quote/DAX:INDEXDB?hl=en&gl=us",
"location": "Europe/Berlin",
"trend": "up",
"timestamp": "2025-03-05 12:05:54 +00:00",
"percentage_delta": 3.2537954
},
{
"type": "google_finance_market_instrument_element",
"ticker": "AMZN",
"price": 203.8,
"price_delta": -1.2200012,
"price_currency": "USD",
"identifier": "AMZN:NASDAQ",
"displayed_name": "Amazon.com Inc",
"url": "https://google.com/finance/quote/AMZN:NASDAQ?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-05 12:21:17 +00:00",
"percentage_delta": -0.59506446
},
{
"type": "google_finance_market_index_element",
"ticker": "UKX",
"market_identifier": "INDEXFTSE",
"index_value": 8791.21,
"index_value_delta": 32.20996,
"identifier": "UKX:INDEXFTSE",
"displayed_name": "FTSE 100 Index",
"url": "https://google.com/finance/quote/UKX:INDEXFTSE?hl=en&gl=us",
"location": "Europe/London",
"trend": "up",
"timestamp": "2025-03-05 12:21:07 +00:00",
"percentage_delta": 0.3677356
},
{
"type": "google_finance_market_instrument_element",
"ticker": "GM",
"price": 45.22,
"price_delta": -2.1599998,
"price_currency": "USD",
"identifier": "GM:NYSE",
"displayed_name": "General Motors Co",
"url": "https://google.com/finance/quote/GM:NYSE?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-05 12:19:56 +00:00",
"percentage_delta": -4.558885
},
{
"type": "google_finance_market_index_element",
"ticker": "NDX",
"market_identifier": "INDEXNASDAQ",
"index_value": 20352.527,
"index_value_delta": -73.05664,
"identifier": "NDX:INDEXNASDAQ",
"displayed_name": "Nasdaq-100",
"url": "https://google.com/finance/quote/NDX:INDEXNASDAQ?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-04 22:15:59 +00:00",
"percentage_delta": -0.3576722
},
{
"type": "google_finance_market_instrument_element",
"ticker": "F",
"price": 9.12,
"price_delta": -0.27000046,
"price_currency": "USD",
"identifier": "F:NYSE",
"displayed_name": "Ford Motor Co",
"url": "https://google.com/finance/quote/F:NYSE?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-05 12:19:39 +00:00",
"percentage_delta": -2.8754041
}
]
},
{
"type": "google_finance_people_also_search",
"rank_group": 1,
"rank_absolute": 12,
"items": [
{
"type": "google_finance_market_instrument_element",
"ticker": "AMZN",
"price": 203.8,
"price_delta": -1.2200012,
"price_currency": "USD",
"identifier": "AMZN:NASDAQ",
"displayed_name": "Amazon.com Inc",
"url": "https://google.com/finance/quote/AMZN:NASDAQ?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-05 12:21:17 +00:00",
"percentage_delta": -0.59506446
},
{
"type": "google_finance_market_instrument_element",
"ticker": "NVDA",
"price": 115.99,
"price_delta": 1.9300003,
"price_currency": "USD",
"identifier": "NVDA:NASDAQ",
"displayed_name": "NVIDIA Corp",
"url": "https://google.com/finance/quote/NVDA:NASDAQ?hl=en&gl=us",
"location": "America/New_York",
"trend": "up",
"timestamp": "2025-03-05 12:21:08 +00:00",
"percentage_delta": 1.6920922
},
{
"type": "google_finance_market_instrument_element",
"ticker": "TSLA",
"price": 272.04,
"price_delta": -12.609985,
"price_currency": "USD",
"identifier": "TSLA:NASDAQ",
"displayed_name": "Tesla Inc",
"url": "https://google.com/finance/quote/TSLA:NASDAQ?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-05 12:21:19 +00:00",
"percentage_delta": -4.4299965
},
{
"type": "google_finance_market_instrument_element",
"ticker": "MSFT",
"price": 388.61,
"price_delta": 0.11999512,
"price_currency": "USD",
"identifier": "MSFT:NASDAQ",
"displayed_name": "Microsoft Corp",
"url": "https://google.com/finance/quote/MSFT:NASDAQ?hl=en&gl=us",
"location": "America/New_York",
"trend": "up",
"timestamp": "2025-03-05 12:21:09 +00:00",
"percentage_delta": 0.03088757
},
{
"type": "google_finance_market_instrument_element",
"ticker": "NFLX",
"price": 972.58,
"price_delta": -1.1199951,
"price_currency": "USD",
"identifier": "NFLX:NASDAQ",
"displayed_name": "Netflix Inc",
"url": "https://google.com/finance/quote/NFLX:NASDAQ?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-05 12:19:31 +00:00",
"percentage_delta": -0.115024656
},
{
"type": "google_finance_market_instrument_element",
"ticker": "AVGO",
"price": 187.48,
"price_delta": 0.11000061,
"price_currency": "USD",
"identifier": "AVGO:NASDAQ",
"displayed_name": "Broadcom Inc",
"url": "https://google.com/finance/quote/AVGO:NASDAQ?hl=en&gl=us",
"location": "America/New_York",
"trend": "up",
"timestamp": "2025-03-05 12:19:59 +00:00",
"percentage_delta": 0.0587077
},
{
"type": "google_finance_market_instrument_element",
"ticker": "INTC",
"price": 21.33,
"price_delta": -1.4099998,
"price_currency": "USD",
"identifier": "INTC:NASDAQ",
"displayed_name": "Intel Corp",
"url": "https://google.com/finance/quote/INTC:NASDAQ?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-05 12:21:18 +00:00",
"percentage_delta": -6.200527
},
{
"type": "google_finance_market_instrument_element",
"ticker": "BRK.B",
"price": 495.86,
"price_delta": -14.220001,
"price_currency": "USD",
"identifier": "BRK.B:NYSE",
"displayed_name": "Berkshire Hathaway Inc Class B",
"url": "https://google.com/finance/quote/BRK.B:NYSE?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-05 12:21:17 +00:00",
"percentage_delta": -2.7877984
},
{
"type": "google_finance_market_instrument_element",
"ticker": "GOOG",
"price": 172.61,
"price_delta": 3.949997,
"price_currency": "USD",
"identifier": "GOOG:NASDAQ",
"displayed_name": "Alphabet Inc Class C",
"url": "https://google.com/finance/quote/GOOG:NASDAQ?hl=en&gl=us",
"location": "America/New_York",
"trend": "up",
"timestamp": "2025-03-05 12:21:17 +00:00",
"percentage_delta": 2.3419878
},
{
"type": "google_finance_market_instrument_element",
"ticker": "ORCL",
"price": 157.47,
"price_delta": -4.550003,
"price_currency": "USD",
"identifier": "ORCL:NYSE",
"displayed_name": "Oracle Corp",
"url": "https://google.com/finance/quote/ORCL:NYSE?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-05 12:20:57 +00:00",
"percentage_delta": -2.8082972
},
{
"type": "google_finance_market_instrument_element",
"ticker": "RIVN",
"price": 11.26,
"price_delta": -0.25,
"price_currency": "USD",
"identifier": "RIVN:NASDAQ",
"displayed_name": "Rivian Automotive Inc",
"url": "https://google.com/finance/quote/RIVN:NASDAQ?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-05 12:07:00 +00:00",
"percentage_delta": -2.1720243
},
{
"type": "google_finance_market_instrument_element",
"ticker": "MRVL",
"price": 88.33,
"price_delta": 2.5,
"price_currency": "USD",
"identifier": "MRVL:NASDAQ",
"displayed_name": "Marvell Technology Inc",
"url": "https://google.com/finance/quote/MRVL:NASDAQ?hl=en&gl=us",
"location": "America/New_York",
"trend": "up",
"timestamp": "2025-03-05 12:18:04 +00:00",
"percentage_delta": 2.9127345
},
{
"type": "google_finance_market_instrument_element",
"ticker": "GOOGL",
"price": 170.92,
"price_delta": 3.9100037,
"price_currency": "USD",
"identifier": "GOOGL:NASDAQ",
"displayed_name": "Alphabet Inc Class A",
"url": "https://google.com/finance/quote/GOOGL:NASDAQ?hl=en&gl=us",
"location": "America/New_York",
"trend": "up",
"timestamp": "2025-03-05 12:21:17 +00:00",
"percentage_delta": 2.3411794
},
{
"type": "google_finance_market_instrument_element",
"ticker": "RDDT",
"price": 159.17,
"price_delta": -3.2799988,
"price_currency": "USD",
"identifier": "RDDT:NYSE",
"displayed_name": "Reddit Inc",
"url": "https://google.com/finance/quote/RDDT:NYSE?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-05 12:18:52 +00:00",
"percentage_delta": -2.019082
},
{
"type": "google_finance_market_instrument_element",
"ticker": "META",
"price": 640,
"price_delta": -15.049988,
"price_currency": "USD",
"identifier": "META:NASDAQ",
"displayed_name": "Meta Platforms Inc",
"url": "https://google.com/finance/quote/META:NASDAQ?hl=en&gl=us",
"location": "America/New_York",
"trend": "down",
"timestamp": "2025-03-05 12:21:09 +00:00",
"percentage_delta": -2.2975328
},
{
"type": "google_finance_market_instrument_element",
"ticker": "PLTR",
"price": 84.4,
"price_delta": 0.98000336,
"price_currency": "USD",
"identifier": "PLTR:NASDAQ",
"displayed_name": "Palantir Technologies Inc",
"url": "https://google.com/finance/quote/PLTR:NASDAQ?hl=en&gl=us",
"location": "America/New_York",
"trend": "up",
"timestamp": "2025-03-05 12:21:17 +00:00",
"percentage_delta": 1.1747823
}
]
}
]
}
]
}
]
}
The response provides structured data from all elements of the “Quote” tab for selected financial instruments. It includes the current price, key statistical values of the stock or index, its description, and related financial news. Besides, you will get structured historical trading data from the displayed graph, divided into timestamps.
You can use real-time data from this endpoint to create various stock tracking applications. For instance, you can build a widget or an app that will send alerts on stock movements or notifications about important news related to the selected stocks. For more detailed information on the data provided by this endpoint and other Google Finance SERP API endpoints, see this Help Center article.
4 Google Finance Ticker Search
The last endpoint, Google Finance Ticker Search, is designed to search for relevant tickers by company name, market, or financial instrument name and explore detailed trading information. Moreover, this endpoint retrieves a market_identifier
for each of the found tickers. The marker_identifier
can be used in the Google Finance Quote endpoint to get even more ticker data.
To work with Google Finance Ticker Search, you should specify the keyword, language, and location and indicate the category of tickers to search for.
Request example:
[
{
"language_name": "English",
"location_code": 2840,
"category": "all",
"keyword": "Nvidia"
}
]
Response example:
{
"version": "0.1.20241227",
"status_code": 20000,
"status_message": "Ok.",
"time": "3.4852 sec.",
"cost": 0.002,
"tasks_count": 1,
"tasks_error": 0,
"tasks": [
{
"id": "04141708-1535-0139-0000-8e1974613ce8",
"status_code": 20000,
"status_message": "Ok.",
"time": "3.4158 sec.",
"cost": 0.002,
"result_count": 1,
"path": [
"v3",
"serp",
"google",
"finance_ticker_search",
"live",
"advanced"
],
"data": {
"api": "serp",
"function": "live",
"se": "google",
"se_type": "finance_ticker_search",
"language_name": "English",
"location_code": 2840,
"category": "all",
"keyword": "Nvidia",
"device": "desktop",
"os": "windows"
},
"result": [
{
"keyword": "Nvidia",
"type": "finance_ticker_search",
"se_domain": "google.com",
"location_code": 2840,
"language_code": "en",
"check_url": null,
"datetime": "2025-04-14 14:08:42 +00:00",
"spell": null,
"refinement_chips": null,
"item_types": [
"google_finance_market_instrument"
],
"se_results_count": 0,
"items_count": 4,
"items": [
{
"type": "google_finance_market_instrument",
"rank_group": 1,
"rank_absolute": 1,
"ticker": "NVDA",
"price": 112.66,
"price_delta": 1.7300034,
"price_currency": "USD",
"identifier": "NVDA:NASDAQ",
"displayed_name": "NVIDIA Corp",
"url": "https://google.com/finance/quote/NVDA:NASDAQ?hl=en&gl=us",
"location": "America/New_York",
"trend": "up",
"timestamp": "2025-04-14 14:08:37 +00:00",
"percentage_delta": 1.559545
},
{
"type": "google_finance_market_instrument",
"rank_group": 2,
"rank_absolute": 2,
"ticker": "NVD",
"price": 99.25,
"price_delta": 3.4000015,
"price_currency": "EUR",
"identifier": "NVD:ETR",
"displayed_name": "NVIDIA Corp",
"url": "https://google.com/finance/quote/NVD:ETR?hl=en&gl=us",
"location": "Europe/Berlin",
"trend": "up",
"timestamp": "2025-04-14 13:53:32 +00:00",
"percentage_delta": 3.547211
},
{
"type": "google_finance_market_instrument",
"rank_group": 3,
"rank_absolute": 3,
"ticker": "NVDA",
"price": 2240,
"price_delta": -0.09008789,
"price_currency": "MXN",
"identifier": "NVDA:BMV",
"displayed_name": "NVIDIA Corp",
"url": "https://google.com/finance/quote/NVDA:BMV?hl=en&gl=us",
"location": "America/Mexico_City",
"trend": "down",
"timestamp": "2025-04-14 13:47:44 +00:00",
"percentage_delta": -0.004021619
},
{
"type": "google_finance_market_instrument",
"rank_group": 4,
"rank_absolute": 4,
"ticker": "1NVDA",
"price": 99.62,
"price_delta": 3.8100052,
"price_currency": "EUR",
"identifier": "1NVDA:BIT",
"displayed_name": "NVIDIA Corp",
"url": "https://google.com/finance/quote/1NVDA:BIT?hl=en&gl=us",
"location": "Europe/Rome",
"trend": "up",
"timestamp": "2025-04-14 14:08:27 +00:00",
"percentage_delta": 3.976626
}
]
}
]
}
]
}
This endpoint’s response consists of items containing data on returned financial instruments, including their prices, growth trends, and market identifiers. The tickers returned are relevant to the keyword and category you specify. This makes the Google Finance Ticker Search an easy-to-use tool for exploring stocks or currencies you may be interested in.
All Google Finance SERP API endpoints follow the general SERP API pricing structure. This means that if you use one of these endpoints in Live mode, for example, you’ll pay just $0.002 per request. However, the cost of setting a task will double if you use the news_type
parameter in the Google Finance Explore endpoint or the window
parameter in the Google Finance Quote endpoint. You can find more details on our Pricing page.
Overall, the Google Finance SERP API endpoints are excellent and easy-to-use tools for retrieving real-time financial insights from Google Finance and developing tailored solutions. Besides, you can quickly build no-code automation tools with these endpoints, as they are available in the most popular no-code platforms, like n8n. Let’s explore some practical automation use cases to demonstrate the full potential of these endpoints.
Building data-driven financial automations with Google Finance SERP API and n8n
The DataForSEO Google Finance SERP API is indeed a powerful and reliable data solution that can support financial projects of any scale – from lightweight reporting systems to enterprise-grade platforms. But can you harness its full potential without diving into hours of intensive coding?
Absolutely. Thanks to integration with popular no-code platforms, you can work with our APIs without writing a single line of code. Let’s demonstrate this by exploring two automations built using the Google Finance SERP API and the n8n automation platform: an automated stock tracking tool and a local market stock reporting system.
1 Automated stock tracking and stock updates
Any investor wants always to stay updated on interested stocks. But manually browsing stock market websites or even Google Finance might be a burden that steals a lot of time. Why not automate stock tracking and receive tailored alerts about your favorite stocks? This is entirely achievable with Google Finance SERP API and the n8n automation platform.
Using these tools, you can build a personal automated stock tracking system that fetches real-time data on selected stocks and sends regular updates. One of its key advantages is that it requires no coding – everything is built within the n8n no-code environment. In addition, the system can generate daily stock reports and collect historical data in structured datasheets you can easily share with colleagues. Finally, you can also have the reports delivered directly to your email at a scheduled time. Overall, this automation makes stock tracking effortless and surprisingly convenient.
To bring such a solution to life, you will need access to the following:
1. First of all, you need a “workbench” where you’ll assemble and automate the stock tracker. The best suitable option is n8n – an open source no-code automation platform that can connect multiple apps into automated workflows. You can build workflows using different nodes, each designed to carry out specific tasks or interact with certain apps. The DataForSEO APIs, including Google Finance SERP API endpoints, are presented as a community node that you can integrate directly into n8n workflows.
2. The Google Finance Ticker Search node will help you search for stocks and their identifiers by keywords. You can then use the stock identifiers with the Google Finance Quote node to get more detailed stock data for reports.
3. Google Finance Quote node will be the source of structured market data for reports on the selected stocks. It will retrieve the actual stock price, trend, price delta, percentage delta, etc.
4. Then, you need to structure all the data into a spreadsheet reports, that will be generated automatically and easy to share. To do this, you should access the Google Cloud which is essential to use the Google Sheets and Google Drive nodes in the n8n workflows.
5. Finally for getting automated stock updates in a convenient way, you will need to connect your workflow to an email system that will send you scheduled letters with updates. For this purpose, you can use the Gmail node or a standard “Send Email” node if you don’t have a Gmail account.
Before building the automation, you should establish a connection with all the above tools. First, you must create an account at n8n, and install the DataForSEO community node. We have a detailed instruction on the Help Center for installing the community node in n8n. Besides, you should connect Google Cloud with n8n through an API connection to use Google modules in the workflow. To do so, you can read a comprehensive guide on the n8n website. After that, you’re all set for building.
The automation consists of two separate workflows – Ticker Search and Stock Tracker. The first workflow involves the Google Finance Ticker Search endpoint, which lets you search for stocks and their identifiers based on a keyword you specify. The Stock Reporting workflow uses the Google Finance Quote endpoint to get stock data based on the stock identifier. Then, it structures data into reports and historical data sheets and sends a stock update email to your inbox.
Let’s take a look at both workflows separately.
Ticker Search workflow
In the n8n environment, the Ticker Search workflow looks like this:
Here is the breakdown of the steps in this workflow:
1. The Manual Trigger node starts the workflow.
2. The DataForSEO Finance Ticker Search node retrieves the list of relevant stocks based on the keyword you specify. The keyword may be a financial instrument name (e.g., “Bitcoin”), company name (e.g., “Nvidia”, “Apple”), or index (e.g., “Dow Jones Industrial Average”). With a list of relevant stocks, it retrieves market identifiers, such as “NVDA:NASDAQ”, “AAPL:NASDAQ”, and so on.
3. The Split Out and Edit Fields nodes fetch the stock details and stock identifiers from the response and format them for mapping in the Google Sheets.
4. The Google Sheets node maps the retrieved stock data and maps it into a separate Google Sheet.
As a result, you have retrieved a list of relevant stocks with stock identifiers. You can use these identifiers to enable the Google Finance Quote node in the Stock Reporting workflow.
Stock Tracker workflow
The second workflow is designed to retrieve data on selected stock regularly, store it in Google Sheets after each run, and send stock updates to your email.
Below is an example of workflow structure in n8n:
The key steps of this workflow are the following:
1. The Schedule Trigger is set to start workflow each day.
2. The Google Sheets node gets the stock identifier from the datasheet template. In the template, you should name columns with the stock information types you want to retrieve for reports and one of the columns must contain the stock identifier.
3. Then, Google Drive nodes copy the datasheet template and place it in a separate daily report folder. A new copy of the template and folder is created for each daily report.
4. The stock identifier, appended by the Edit Fields node, is placed into the DataForSEO Finance Quote node.
5. The Finance Quote node retrieves actual data for the specified stock.
6. After that, the Split Out and Edit Fields nodes fetch specific stock data from the response and format it for mapping into the datasheets.
7. The following Google Sheets node maps the stock data into respective columns of the daily report datasheet.
8. At the same time, the stock data is added to the Historical Stock Data spreadsheet. This spreadsheet saves structured stock data after each run.
9. Finally, the Gmail node generates an email update based on the precompiled template and data from the Google Finance Quote. The email is then sent to your inbox.
To better understand how this automation works, let’s take a closer look at the nodes used in both workflows and their functions:
Trigger nodes. There are two types of trigger nodes in presented workflows – manual and scheduled. The manual trigger launches the workflow when the user clicks, and the scheduled trigger does it automatically at a specific time (each hour, day, week, or month). In the second workflow, the scheduled trigger starts each day to create daily stock updates.
DataForSEO nodes. These nodes (in this case, based on Google Finance Ticker Search and Google Finance Quote endpoints) retrieve the stock identifiers and actual stock data, respectively. Aside from the keyword or stock identifier, you must also specify the basic parameters, such as location and language in the nodes, to enable them.
Split Out nodes. The Split Out nodes allow you to fetch specific data from the endpoints’ responses and turn lists of items into separate items, facilitating data transformation.
Google Sheets and Google Drive nodes. These nodes are used to integrate and store the stock data in the datasheets and perform other different operations with the sheets and folders (copying sheets from templates and creating new folders with datasheets after each run).
Edit Fields nodes. The Edit Fields nodes allow you to structure data more precisely by modifying item fields. They are necessary to map the data in the Google Sheets and Gmail nodes correctly.
Gmail node. With the Gmail node, you can write and customize the stock update letter template and send the updates regularly to your inbox.
When integrated, these nodes make both workflows fully operational and automated, enabling you to easily search stocks and get all necessary stock values and metrics. Here is a visual demonstration of how both workflows operate after assembling.
First workflow operation:
Second workflow operation:
An example of a stock update email:
As a result, you got a list of stocks with identifiers based on the company’s name from the first workflow. Then, you used the stock identifier to enable the second workflow. With the second workflow enabled, each day, you’ll receive a datasheet and an email update with the actual data on the monitored stock, including its price, current trend, and price changes. Moreover, you can analyze the stock data for each workflow run in a separate historical stock data sheet. Overall, this automation is a simple yet effective solution for monitoring stocks and quickly analyzing current and historical stock data.
Besides, you don’t need to build these workflows from scratch. Just copy the two JSON workflow templates below and upload them directly into n8n.
First workflow template:
{
"name": "Get Tickers",
"nodes": [
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
0,
0
],
"id": "9e4dfb02-d403-4a34-8e4e-7c0b3af85989",
"name": "When clicking ‘Test workflow’"
},
{
"parameters": {
"resource": "serp",
"operation": "search-google-finance-tickers",
"keyword_finance_search": "Microsoft",
"location_name": "United States",
"language_name": "English"
},
"type": "n8n-nodes-dataforseo.dataForSeo",
"typeVersion": 1,
"position": [
220,
0
],
"id": "a4a00877-b5c6-4b5d-b44f-d9a5cb01cdc5",
"name": "DataForSeo",
"credentials": {
"dataForSeoApi": {
"id": "zkpidrBE7WoVcYRX",
"name": "DataForSEO account"
}
}
},
{
"parameters": {
"fieldToSplitOut": "tasks[0].result[0].items",
"options": {}
},
"type": "n8n-nodes-base.splitOut",
"typeVersion": 1,
"position": [
440,
0
],
"id": "9467ee1b-9341-442f-8f96-f63a7b67fa81",
"name": "Split Out"
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "b95553f4-1390-451c-9f3e-2453b4258983",
"name": "Ticker",
"value": "={{ $json.ticker }}",
"type": "string"
},
{
"id": "a704b603-bddc-45f0-a869-817919a636b8",
"name": "Identifier",
"value": "={{ $json.identifier }}",
"type": "string"
},
{
"id": "74e9f052-a53a-444e-bc6d-4ca2ac558797",
"name": "Displayed Name",
"value": "={{ $json.displayed_name }}",
"type": "string"
},
{
"id": "096cee7e-0c8d-48c6-9c3c-104bfaf1d125",
"name": "Price",
"value": "={{ $json.price }}",
"type": "number"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
660,
0
],
"id": "81f01ef5-61cb-42b2-9cf7-59e5e928418e",
"name": "Edit Fields"
},
{
"parameters": {
"operation": "appendOrUpdate",
"documentId": {
"__rl": true,
"value": "1AHZIqkiNmWLwyJAPQlJ4LkiiDDhitQLbsprfDYuBLs8",
"mode": "id"
},
"sheetName": {
"__rl": true,
"value": "gid=0",
"mode": "list",
"cachedResultName": "Ticker Search",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1AHZIqkiNmWLwyJAPQlJ4LkiiDDhitQLbsprfDYuBLs8/edit#gid=0"
},
"columns": {
"mappingMode": "defineBelow",
"value": {
"Ticker": "={{ $json.Ticker }}",
"Identifier": "={{ $json.Identifier }}",
"Displayed Name": "={{ $json['Displayed Name'] }}",
"Price": "={{ $json.Price }}"
},
"matchingColumns": [
"Ticker"
],
"schema": [
{
"id": "Ticker",
"displayName": "Ticker",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true,
"removed": false
},
{
"id": "Identifier",
"displayName": "Identifier",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true,
"removed": false
},
{
"id": "Displayed Name",
"displayName": "Displayed Name",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "Price",
"displayName": "Price",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
}
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {}
},
"type": "n8n-nodes-base.googleSheets",
"typeVersion": 4.5,
"position": [
880,
0
],
"id": "cfb34570-ac23-4a78-961e-e8d23e8b3140",
"name": "Google Sheets",
"credentials": {
"googleSheetsOAuth2Api": {
"id": "3IhXbuBasjXeEJNt",
"name": "Google Sheets account"
}
}
}
],
"pinData": {},
"connections": {
"When clicking ‘Test workflow’": {
"main": [
[
{
"node": "DataForSeo",
"type": "main",
"index": 0
}
]
]
},
"DataForSeo": {
"main": [
[
{
"node": "Split Out",
"type": "main",
"index": 0
}
]
]
},
"Split Out": {
"main": [
[
{
"node": "Edit Fields",
"type": "main",
"index": 0
}
]
]
},
"Edit Fields": {
"main": [
[
{
"node": "Google Sheets",
"type": "main",
"index": 0
}
]
]
},
"Google Sheets": {
"main": [
[]
]
}
},
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "79a65277-ae39-4aeb-a5e1-9a28dc0fb0fd",
"meta": {
"templateCredsSetupCompleted": true,
"instanceId": "50f5184d9fcc7c29ec22c63089dd0b469a64db3b806bfd08e07c849820db871b"
},
"id": "XcRA2aohLNwuncRQ",
"tags": []
}
Second workflow template:
{
"name": "Finance Quote",
"nodes": [
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
-1380,
40
],
"id": "af49fb28-af22-4bc2-8eaa-cd180df1e3b7",
"name": "When clicking ‘Test workflow’"
},
{
"parameters": {
"documentId": {
"__rl": true,
"value": "1R2zE-ddWotwM3KdzOyzujQiE9Le5MD5P3XrmP3pWMbE",
"mode": "id"
},
"sheetName": {
"__rl": true,
"value": "gid=0",
"mode": "list",
"cachedResultName": "Stock Data",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1R2zE-ddWotwM3KdzOyzujQiE9Le5MD5P3XrmP3pWMbE/edit#gid=0"
},
"options": {}
},
"type": "n8n-nodes-base.googleSheets",
"typeVersion": 4.5,
"position": [
-1000,
40
],
"id": "15206f77-83d7-42fc-985c-c4614d1ca64c",
"name": "Google Sheets",
"alwaysOutputData": false,
"credentials": {
"googleSheetsOAuth2Api": {
"id": "3IhXbuBasjXeEJNt",
"name": "Google Sheets account"
}
}
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "5f4b8576-0afa-439b-9ae1-9c38822fed3b",
"name": "Identifier",
"value": "={{ $('Google Sheets').item.json.Identifier }}",
"type": "string"
},
{
"id": "248f44b2-4fa9-4677-9d30-d0259308d071",
"name": "fileName",
"value": "={{ $json.name }}",
"type": "string"
},
{
"id": "a0307116-a88f-4464-a96f-947dd85db6d6",
"name": "fileId",
"value": "={{ $json.id }}",
"type": "string"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
-420,
40
],
"id": "476c0306-baa9-421e-a230-ad9c44fdc1fb",
"name": "Set Main Fields"
},
{
"parameters": {
"content": "## Get Current Stock Data\nThis gets the actual stock information for the selected stock, specified by stock identifier.",
"height": 320,
"width": 940
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
-60,
-100
],
"id": "a2604afe-7533-465d-87b7-9e78cb53a1cf",
"name": "Sticky Note1"
},
{
"parameters": {
"content": "## Get Stock Identifier from Template\n",
"height": 260,
"width": 260
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
-1080,
-60
],
"id": "0bae5505-bb11-4bc9-8a1e-99dfccde9540",
"name": "Sticky Note6"
},
{
"parameters": {
"resource": "folder",
"name": "={{ $json['Identifier'] }} Report {{ $now.format('MM-dd-yyyy') }}",
"driveId": {
"__rl": true,
"value": "My Drive",
"mode": "list",
"cachedResultName": "My Drive",
"cachedResultUrl": "https://drive.google.com/drive/my-drive"
},
"folderId": {
"__rl": true,
"value": "1VYvGaty8SQbe3ka-uRLb2grTCZtzny2_",
"mode": "list",
"cachedResultName": "Google Finance Workflow",
"cachedResultUrl": "https://drive.google.com/drive/folders/1VYvGaty8SQbe3ka-uRLb2grTCZtzny2_"
},
"options": {}
},
"type": "n8n-nodes-base.googleDrive",
"typeVersion": 3,
"position": [
-780,
40
],
"id": "c339c8d4-9440-44ee-8db0-80665c04385a",
"name": "Google Drive",
"credentials": {
"googleDriveOAuth2Api": {
"id": "ZPJjzLmWTvwDN3rz",
"name": "Google Drive account"
}
}
},
{
"parameters": {
"operation": "copy",
"fileId": {
"__rl": true,
"value": "1R2zE-ddWotwM3KdzOyzujQiE9Le5MD5P3XrmP3pWMbE",
"mode": "id"
},
"name": "={{ $('Google Sheets').item.json['Identifier'] }} Report {{ $now.format('MMddyy') }}",
"sameFolder": "={{ false }}",
"driveId": {
"__rl": true,
"mode": "list",
"value": "My Drive"
},
"folderId": {
"__rl": true,
"value": "={{ $json.id }}",
"mode": "id"
},
"options": {}
},
"type": "n8n-nodes-base.googleDrive",
"typeVersion": 3,
"position": [
-600,
40
],
"id": "b4b1a0d9-d708-4202-a4f8-8d3d70c85ed9",
"name": "Google Drive1",
"credentials": {
"googleDriveOAuth2Api": {
"id": "ZPJjzLmWTvwDN3rz",
"name": "Google Drive account"
}
}
},
{
"parameters": {
"content": "## Create New Folder, Copy Template, and Set Fields\nCreate a new folder and a sheet (from the template) with the stock identifier in the folder and sheet file name.\n\nGet stock identifier from the original sheet.",
"height": 340,
"width": 520
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
-800,
-140
],
"id": "bcc0fb0f-c89c-4987-be92-f8b65b514f28",
"name": "Sticky Note7"
},
{
"parameters": {
"content": "## Add to Historical Stock Data Sheet\n",
"height": 300,
"width": 440,
"color": 4
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
940,
-260
],
"id": "4fa069f2-ae49-4f71-acbe-da8c3b029de0",
"name": "Sticky Note9"
},
{
"parameters": {
"resource": "serp",
"operation": "get-finance-quote",
"keyword_finance": "={{ $('Google Sheets').item.json.Identifier }}",
"location_name": "United States",
"language_name": "English"
},
"type": "n8n-nodes-dataforseo.dataForSeo",
"typeVersion": 1,
"position": [
0,
40
],
"id": "0a7ec5e8-0f1b-419b-8442-fc730750ad42",
"name": "DataForSeo",
"credentials": {
"dataForSeoApi": {
"id": "zkpidrBE7WoVcYRX",
"name": "DataForSEO account"
}
}
},
{
"parameters": {
"sendTo": "anatolii.chernysh@softoria.com",
"subject": "=Daily Stock Update: {{ $json.Identifier }} ({{ $json['Displayed Name '] }})",
"emailType": "text",
"message": "=Hello Anatolii,\n\nBelow is the latest information for {{ $json.Identifier }} ({{ $json['Displayed Name '] }}) as of {{ $json.Timestamp }}:\n\n• Current Price ({{ $json['Price Currency'] }}): {{ $json.Price }};\n• Price Change: {{ $json['Price Delta'] }} ({{ $json['Percentage Delta'] }}%); \n• Trend: {{ $json.Trend }}.\n\nHave a great day!",
"options": {}
},
"type": "n8n-nodes-base.gmail",
"typeVersion": 2.1,
"position": [
1100,
180
],
"id": "64e3624a-55cf-4b55-a500-846468d971fc",
"name": "Gmail",
"webhookId": "6f1e60d7-1b21-4be0-aac3-a9c76201a30f",
"credentials": {
"gmailOAuth2": {
"id": "LasNfN5uqtrLjPzh",
"name": "Gmail account 2"
}
}
},
{
"parameters": {
"content": "## Send a Daily Notification Email with Current Stock Data\n",
"height": 300,
"width": 440,
"color": 4
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
940,
60
],
"id": "5a2220df-0c81-4c97-971a-48c0b5f4b70b",
"name": "Sticky Note"
},
{
"parameters": {
"operation": "appendOrUpdate",
"documentId": {
"__rl": true,
"value": "={{ $('Set Main Fields').item.json.fileId }}",
"mode": "id"
},
"sheetName": {
"__rl": true,
"value": "gid=0",
"mode": "list",
"cachedResultName": "Stock Data",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1hps8jdTI_c5urVf59k3uA_CUPdMiOn9Q4d1HVcoFmmw/edit#gid=0"
},
"columns": {
"mappingMode": "defineBelow",
"value": {
"Ticker": "={{ $json.Ticker }}",
"Identifier": "={{ $json.Identifier }}",
"Displayed Name ": "={{ $json['Displayed Name'] }}",
"Price": "={{ $json.Price }}",
"Price Delta": "={{ $json['Price Delta'] }}",
"Price Currency": "={{ $json['Price Currency'] }}",
"Trend": "={{ $json.Trend }}",
"Percentage Delta": "={{ $json['Percentage Delta'] }}",
"Timestamp": "={{ $json.Timestamp }}"
},
"matchingColumns": [
"Identifier"
],
"schema": [
{
"id": "Ticker",
"displayName": "Ticker",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "Identifier",
"displayName": "Identifier",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true,
"removed": false
},
{
"id": "Displayed Name ",
"displayName": "Displayed Name ",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "Price",
"displayName": "Price",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "Price Delta",
"displayName": "Price Delta",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "Price Currency",
"displayName": "Price Currency",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "Trend",
"displayName": "Trend",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "Percentage Delta",
"displayName": "Percentage Delta",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "Timestamp",
"displayName": "Timestamp",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
}
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {}
},
"type": "n8n-nodes-base.googleSheets",
"typeVersion": 4.5,
"position": [
660,
40
],
"id": "b369500c-68f6-4025-aa99-2ae702caea64",
"name": "Add Data to the Current Stock Data Sheet",
"credentials": {
"googleSheetsOAuth2Api": {
"id": "3IhXbuBasjXeEJNt",
"name": "Google Sheets account"
}
}
},
{
"parameters": {
"fieldToSplitOut": "tasks[0].result",
"options": {}
},
"type": "n8n-nodes-base.splitOut",
"typeVersion": 1,
"position": [
220,
40
],
"id": "fbb23bb6-2ac8-4fa1-9300-767e4873a879",
"name": "Split Out Current Stock Data"
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "b5676eec-fa9f-4f88-b54f-a61a37c2517c",
"name": "Ticker",
"value": "={{ $json.items[1].quote.ticker }}",
"type": "string"
},
{
"id": "c24ccb6e-2901-4cb2-91e8-b5595d5002e3",
"name": "Identifier",
"value": "={{ $json.items[1].quote.identifier }}",
"type": "string"
},
{
"id": "30d41b30-f59b-4ec1-9ad9-906c9af02c76",
"name": "Displayed Name",
"value": "={{ $json.items[1].quote.displayed_name }}",
"type": "string"
},
{
"id": "0bdcb8bf-4702-488b-826c-e080734e1c65",
"name": "Price",
"value": "={{ $json.items[1].quote.price }}",
"type": "number"
},
{
"id": "e2dd500a-e40d-426d-9e8b-882efb48af5b",
"name": "Price Delta",
"value": "={{ $json.items[1].quote.price_delta }}",
"type": "number"
},
{
"id": "f9008a93-5c00-463c-86d0-c82570eb004a",
"name": "Price Currency",
"value": "={{ $json.items[1].quote.price_currency }}",
"type": "string"
},
{
"id": "9feba9fb-ac84-4857-bbf1-b8c0610441b7",
"name": "Trend",
"value": "={{ $json.items[1].quote.trend }}",
"type": "string"
},
{
"id": "8e3edef1-eb71-4a2b-a429-d3cc0da6d479",
"name": "Percentage Delta",
"value": "={{ $json.items[1].quote.percentage_delta }}",
"type": "number"
},
{
"id": "f5932509-d940-41e8-ba7c-7c23587621ea",
"name": "Timestamp",
"value": "={{ $json.items[1].quote.timestamp }}",
"type": "string"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
440,
40
],
"id": "0f6d6850-477f-484d-8a8d-c2b4d3d69b7f",
"name": "Set Current Stock Data Fields"
},
{
"parameters": {
"operation": "append",
"documentId": {
"__rl": true,
"value": "=1QE6Zasl4GWdIS-RljTCNU-LA645O7a--xhXye9bK2aQ",
"mode": "id"
},
"sheetName": {
"__rl": true,
"value": 1244800818,
"mode": "list",
"cachedResultName": "Historical Stock Information",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1QE6Zasl4GWdIS-RljTCNU-LA645O7a--xhXye9bK2aQ/edit#gid=1244800818"
},
"columns": {
"mappingMode": "defineBelow",
"value": {
"Ticker": "={{ $json.Ticker }}",
"Identifier": "={{ $json.Identifier }}",
"Displayed Name ": "={{ $json['Displayed Name '] }}",
"Price": "={{ $json.Price }}",
"Price Delta": "={{ $json['Price Delta'] }}",
"Price Currency": "={{ $json['Price Currency'] }}",
"Trend": "={{ $json.Trend }}",
"Percentage Delta": "={{ $json['Percentage Delta'] }}",
"Timestamp": "={{ $json.Timestamp }}"
},
"matchingColumns": [],
"schema": [
{
"id": "Ticker",
"displayName": "Ticker",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "Identifier",
"displayName": "Identifier",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "Displayed Name ",
"displayName": "Displayed Name ",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "Price",
"displayName": "Price",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "Price Delta",
"displayName": "Price Delta",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "Price Currency",
"displayName": "Price Currency",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "Trend",
"displayName": "Trend",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "Percentage Delta",
"displayName": "Percentage Delta",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "Timestamp",
"displayName": "Timestamp",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
}
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {}
},
"type": "n8n-nodes-base.googleSheets",
"typeVersion": 4.5,
"position": [
1100,
-140
],
"id": "966f3596-0eb1-4c75-8901-16d73511f9e6",
"name": "Historical Stock Data",
"credentials": {
"googleSheetsOAuth2Api": {
"id": "3IhXbuBasjXeEJNt",
"name": "Google Sheets account"
}
}
}
],
"pinData": {},
"connections": {
"When clicking ‘Test workflow’": {
"main": [
[
{
"node": "Google Sheets",
"type": "main",
"index": 0
}
]
]
},
"Google Sheets": {
"main": [
[
{
"node": "Google Drive",
"type": "main",
"index": 0
}
]
]
},
"Set Main Fields": {
"main": [
[
{
"node": "DataForSeo",
"type": "main",
"index": 0
}
]
]
},
"Google Drive": {
"main": [
[
{
"node": "Google Drive1",
"type": "main",
"index": 0
}
]
]
},
"Google Drive1": {
"main": [
[
{
"node": "Set Main Fields",
"type": "main",
"index": 0
}
]
]
},
"DataForSeo": {
"main": [
[
{
"node": "Split Out Current Stock Data",
"type": "main",
"index": 0
}
]
]
},
"Add Data to the Current Stock Data Sheet": {
"main": [
[
{
"node": "Historical Stock Data",
"type": "main",
"index": 0
},
{
"node": "Gmail",
"type": "main",
"index": 0
}
]
]
},
"Split Out Current Stock Data": {
"main": [
[
{
"node": "Set Current Stock Data Fields",
"type": "main",
"index": 0
}
]
]
},
"Set Current Stock Data Fields": {
"main": [
[
{
"node": "Add Data to the Current Stock Data Sheet",
"type": "main",
"index": 0
}
]
]
},
"Historical Stock Data": {
"main": [
[]
]
}
},
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "f3218933-4884-4455-bbf2-8171a8672903",
"meta": {
"templateCredsSetupCompleted": true,
"instanceId": "50f5184d9fcc7c29ec22c63089dd0b469a64db3b806bfd08e07c849820db871b"
},
"id": "WENXtqBp57Vi30sr",
"tags": []
}
2 Automated local market stock and news reporting
Another solution you can create with the Google Finance SERP API and n8n is an automated local market stock reporting system. This automation allows you to get data on the most active stocks on specific local stock markets, as well as current market-related news.
The core benefit of this automation is that you can retrieve data from different local stock markets just by changing the market location. Besides, data on stocks and news will be structured in separate datasheets, and a new data folder will be created after each run of the automation. This way, you will receive regular, structured local market reports that are easy to analyze.
In a nutshell, the workflow structure and technologies used in this case are similar to those used in the previous use case. The key difference is that the Google Finance Markets endpoint is used in this workflow to retrieve local markets data.
The complete workflow structure looks as follows:
Here is a breakdown of the steps in this workflow:
1. The Schedule Trigger starts the workflow automatically each day.
2. The Google Sheets node retrieves the location name from the datasheet template. The template consists of three separate sheets: Market Trends for storing local stock data, Market News for storing current market news, and Parent Location, where you specify the market location before starting the workflow.
3. Then, Google Drive nodes are used to create a copy of the datasheet template and place it in a separate folder. A new copy of the template and folder is created during each run.
4. After that, the location name, appended by the Edit Fields node, is passed into the DataForSEO Finance Markets node.
5. The Finance Markets node retrieves stock market data for the specified location. Make sure to set the Market Type parameter to “Most active” to get data on the most active stocks from the local market.
6. The workflow is then divided into two branches to separate news and market stock data. The Split Out and Edit Fields nodes fetch the relevant data and format it for mapping into the spreadsheets.
7. Finally, the local news and stock data are inserted and stored in the two respective sheets of the market report datasheet.
Workflow operation example:
With this setup, you’ve developed a fully automated local stock market and news reporting system that creates and saves daily market reports. These reports provide data on the most active local market stocks, including their current prices, growth trends, and price changes. You’ll also receive a list of current local market news with titles, sources, and URLs linking to the original news outlet pages.
Moreover, you can change the location to monitor local stock market trends in other countries and receive country-specific reports. With such robust and structured reports, you can always stay updated on the current local market trends and, over time, collect a lot of structured historical data to perform in-depth market analysis.
As with the previous automation, you can copy the workflow template below, upload it into n8n, and try the automation by yourself:
{
"name": "Market Reporting Workflow",
"nodes": [
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
-1380,
40
],
"id": "5ad46515-ab7e-473b-8958-3fcaf271ec23",
"name": "When clicking ‘Test workflow’"
},
{
"parameters": {
"documentId": {
"__rl": true,
"value": "1Luk2tKDO0VEBCI5cGjuoxZlPmaaO3zuiL2flVpF_wA4",
"mode": "id"
},
"sheetName": {
"__rl": true,
"value": 15231167,
"mode": "list",
"cachedResultName": "Parent Location",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1Luk2tKDO0VEBCI5cGjuoxZlPmaaO3zuiL2flVpF_wA4/edit#gid=15231167"
},
"options": {}
},
"type": "n8n-nodes-base.googleSheets",
"typeVersion": 4.5,
"position": [
-1000,
40
],
"id": "5db2c3a9-e7c6-46cc-b9bb-8de147275d92",
"name": "Google Sheets",
"alwaysOutputData": false,
"credentials": {
"googleSheetsOAuth2Api": {
"id": "3IhXbuBasjXeEJNt",
"name": "Google Sheets account"
}
}
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "5f4b8576-0afa-439b-9ae1-9c38822fed3b",
"name": "Location",
"value": "={{ $('Google Sheets').item.json['Parent Location'] }}",
"type": "string"
},
{
"id": "248f44b2-4fa9-4677-9d30-d0259308d071",
"name": "fileName",
"value": "={{ $json.name }}",
"type": "string"
},
{
"id": "a0307116-a88f-4464-a96f-947dd85db6d6",
"name": "fileId",
"value": "={{ $json.id }}",
"type": "string"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
-420,
40
],
"id": "8ea59428-aa5d-445c-8b9c-65c8151c11e6",
"name": "Set Main Fields"
},
{
"parameters": {
"content": "## Get Market Location from Template\n",
"height": 260,
"width": 280
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
-1100,
-60
],
"id": "d2f7f924-b413-4562-a59d-5a5f2315dc11",
"name": "Sticky Note6"
},
{
"parameters": {
"resource": "folder",
"name": "={{ $json['Parent Location'] }} Stock Market Overview {{ $now.format('MM-dd-yyyy') }}",
"driveId": {
"__rl": true,
"value": "My Drive",
"mode": "list",
"cachedResultName": "My Drive",
"cachedResultUrl": "https://drive.google.com/drive/my-drive"
},
"folderId": {
"__rl": true,
"value": "1ZN7SlP-nnKMnLyP8GFj1y4kQnM6JeL4D",
"mode": "list",
"cachedResultName": "Google Finance Workflow 2",
"cachedResultUrl": "https://drive.google.com/drive/folders/1ZN7SlP-nnKMnLyP8GFj1y4kQnM6JeL4D"
},
"options": {}
},
"type": "n8n-nodes-base.googleDrive",
"typeVersion": 3,
"position": [
-780,
40
],
"id": "af46bb1f-c20c-4ae4-9d87-1c6e1dc14d63",
"name": "Google Drive",
"credentials": {
"googleDriveOAuth2Api": {
"id": "ZPJjzLmWTvwDN3rz",
"name": "Google Drive account"
}
}
},
{
"parameters": {
"operation": "copy",
"fileId": {
"__rl": true,
"value": "1Luk2tKDO0VEBCI5cGjuoxZlPmaaO3zuiL2flVpF_wA4",
"mode": "id"
},
"name": "={{ $('Google Sheets').item.json['Parent Location'] }} Stock Market Overview {{ $now.format('MMddyy') }}",
"sameFolder": "={{ false }}",
"driveId": {
"__rl": true,
"mode": "list",
"value": "My Drive"
},
"folderId": {
"__rl": true,
"value": "={{ $json.id }}",
"mode": "id"
},
"options": {}
},
"type": "n8n-nodes-base.googleDrive",
"typeVersion": 3,
"position": [
-600,
40
],
"id": "22393eb6-de6f-48aa-949c-4bf4c331e855",
"name": "Google Drive1",
"credentials": {
"googleDriveOAuth2Api": {
"id": "ZPJjzLmWTvwDN3rz",
"name": "Google Drive account"
}
}
},
{
"parameters": {
"content": "## Create New Folder, Copy Template, and Set Fields\nCreate a new folder and a sheet (from the template) with the market location name in the folder and sheet file name.\n\nGet market location name from the original sheet.",
"height": 340,
"width": 520
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
-800,
-140
],
"id": "fb9c3faf-7563-41f1-9acb-c70e6b678e69",
"name": "Sticky Note7"
},
{
"parameters": {
"content": "## Add Data to the Market Trends Sheet\n",
"height": 260,
"width": 340,
"color": 4
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
680,
-140
],
"id": "2de4f63a-003e-4c51-82e2-6ee0f06bf14e",
"name": "Sticky Note9"
},
{
"parameters": {
"fieldToSplitOut": "tasks[0].result[0].items[1].items",
"options": {}
},
"type": "n8n-nodes-base.splitOut",
"typeVersion": 1,
"position": [
160,
40
],
"id": "824ea765-143c-40a7-8de2-8d856fc3c247",
"name": "Split Out"
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "89f1d211-fcc7-4d64-9802-35e2b8d1efe2",
"name": "Displayed Name",
"value": "={{ $json.displayed_name }}",
"type": "string"
},
{
"id": "7801e77b-a1d1-4a65-99d5-ef6809758ba6",
"name": "Ticker",
"value": "={{ $json.ticker }}",
"type": "string"
},
{
"id": "24a0d6d0-a182-4cab-a097-5cdb8d8c15bd",
"name": "Identifier",
"value": "={{ $json.identifier }}",
"type": "string"
},
{
"id": "8e255d43-3806-4099-a195-edc202eda06b",
"name": "Price",
"value": "={{ $json.price }}",
"type": "number"
},
{
"id": "357c71b4-8331-4c8c-a8c4-beab252374e4",
"name": "Price Currency",
"value": "={{ $json.price_currency }}",
"type": "string"
},
{
"id": "84f67420-ecf2-418a-b38a-f93a36a44f25",
"name": "Price Delta",
"value": "={{ $json.price_delta }}",
"type": "number"
},
{
"id": "b603f887-84ae-4021-84b9-9f7e463c5559",
"name": "Percentage Delta",
"value": "={{ $json.percentage_delta }}",
"type": "number"
},
{
"id": "8f10cbb3-2a4f-4ae7-86b9-8fce62d4df2f",
"name": "Trend",
"value": "={{ $json.trend }}",
"type": "string"
},
{
"id": "b510a647-19f4-4979-9035-7615a7a2066b",
"name": "Timestamp",
"value": "={{ $json.timestamp }}",
"type": "string"
},
{
"id": "a42899b2-0cb7-40a8-b985-8603964d0137",
"name": "Location",
"value": "={{ $json.location }}",
"type": "string"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
380,
40
],
"id": "b99092b9-3361-402a-90ee-2fa9d32a2408",
"name": "Edit Fields"
},
{
"parameters": {
"fieldToSplitOut": "tasks[0].result[0].items[2].items",
"options": {}
},
"type": "n8n-nodes-base.splitOut",
"typeVersion": 1,
"position": [
160,
220
],
"id": "ebec25bf-95eb-4d89-af13-b05c62f69af3",
"name": "Split Out1"
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "61d30c0e-31b1-4192-a056-ff7851d3f875",
"name": "Title",
"value": "={{ $json.title }}",
"type": "string"
},
{
"id": "ed01ef7c-ca74-4297-baec-4a8e562ebbe8",
"name": "Source",
"value": "={{ $json.source }}",
"type": "string"
},
{
"id": "18a28fa2-7114-4a08-9823-99332073e03c",
"name": "URL",
"value": "={{ $json.url }}",
"type": "string"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
380,
220
],
"id": "9039ca50-6793-4ce8-becd-6cbeb3fbb3e8",
"name": "Edit Fields1"
},
{
"parameters": {
"resource": "serp",
"operation": "get-finance-markets",
"location_name": "={{ $json.Location }}",
"language_name": "English"
},
"type": "n8n-nodes-dataforseo.dataForSeo",
"typeVersion": 1,
"position": [
-20,
40
],
"id": "0656e92f-12e8-459e-93ca-527742eb0f0d",
"name": "DataForSeo1",
"credentials": {
"dataForSeoApi": {
"id": "zkpidrBE7WoVcYRX",
"name": "DataForSEO account"
}
}
},
{
"parameters": {
"content": "## Get Most Active Stocks and Local Market News\nThis part of workflow separately retrieves data on most active stocks on local market and current local market news.",
"height": 520,
"width": 580
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
-60,
-140
],
"id": "a46f38f9-45ef-4dd9-81cf-576979924962",
"name": "Sticky Note1"
},
{
"parameters": {
"content": "## Add Data to the Market News Sheet\n",
"height": 260,
"width": 340,
"color": 4
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
680,
240
],
"id": "6f0919ab-1d98-4ad6-8f9b-90f8b454d05d",
"name": "Sticky Note"
},
{
"parameters": {
"operation": "appendOrUpdate",
"documentId": {
"__rl": true,
"value": "={{ $('Set Main Fields').item.json.fileId }}",
"mode": "id"
},
"sheetName": {
"__rl": true,
"value": "gid=0",
"mode": "list",
"cachedResultName": "Market Trends",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1Ypebafp1nuxSzOkcY1GZ8sfSB5W_G0QVpXoYd9JChDE/edit#gid=0"
},
"columns": {
"mappingMode": "defineBelow",
"value": {
"Displayed Name": "={{ $json['Displayed Name'] }}",
"Ticker": "={{ $json.Ticker }}",
"Identifier": "={{ $json.Identifier }}",
"Price": "={{ $json.Price }}",
"Price Currency": "={{ $json['Price Currency'] }}",
"Price Delta": "={{ $json['Price Delta'] }}",
"Percentage Delta": "={{ $json['Percentage Delta'] }}",
"Trend": "={{ $json.Trend }}",
"Timestamp": "={{ $json.Timestamp }}",
"Location": "={{ $json.Location }}"
},
"matchingColumns": [
"Displayed Name"
],
"schema": [
{
"id": "Displayed Name",
"displayName": "Displayed Name",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true,
"removed": false
},
{
"id": "Ticker",
"displayName": "Ticker",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "Identifier",
"displayName": "Identifier",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "Price",
"displayName": "Price",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "Price Currency",
"displayName": "Price Currency",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "Price Delta",
"displayName": "Price Delta",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "Percentage Delta",
"displayName": "Percentage Delta",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "Trend",
"displayName": "Trend",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "Location",
"displayName": "Location",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "Timestamp",
"displayName": "Timestamp",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
}
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {}
},
"type": "n8n-nodes-base.googleSheets",
"typeVersion": 4.5,
"position": [
800,
-60
],
"id": "3d4043d5-27ee-4b34-9cc0-ecbeb9cddf8e",
"name": "Market Trends Sheet",
"credentials": {
"googleSheetsOAuth2Api": {
"id": "3IhXbuBasjXeEJNt",
"name": "Google Sheets account"
}
}
},
{
"parameters": {
"operation": "appendOrUpdate",
"documentId": {
"__rl": true,
"value": "={{ $('Set Main Fields').item.json.fileId }}",
"mode": "id"
},
"sheetName": {
"__rl": true,
"value": 746152575,
"mode": "list",
"cachedResultName": "Market News",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1Ypebafp1nuxSzOkcY1GZ8sfSB5W_G0QVpXoYd9JChDE/edit#gid=746152575"
},
"columns": {
"mappingMode": "defineBelow",
"value": {
"Title": "={{ $json.Title }}",
"Source": "={{ $json.Source }}",
"URL": "={{ $json.URL }}"
},
"matchingColumns": [
"Title"
],
"schema": [
{
"id": "Title",
"displayName": "Title",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true,
"removed": false
},
{
"id": "Source",
"displayName": "Source",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
},
{
"id": "URL",
"displayName": "URL",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true
}
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {}
},
"type": "n8n-nodes-base.googleSheets",
"typeVersion": 4.5,
"position": [
800,
320
],
"id": "be799c23-df35-4376-bcf8-50b8270783d8",
"name": "Market News Sheet",
"credentials": {
"googleSheetsOAuth2Api": {
"id": "3IhXbuBasjXeEJNt",
"name": "Google Sheets account"
}
}
}
],
"pinData": {},
"connections": {
"When clicking ‘Test workflow’": {
"main": [
[
{
"node": "Google Sheets",
"type": "main",
"index": 0
}
]
]
},
"Google Sheets": {
"main": [
[
{
"node": "Google Drive",
"type": "main",
"index": 0
}
]
]
},
"Set Main Fields": {
"main": [
[
{
"node": "DataForSeo1",
"type": "main",
"index": 0
}
]
]
},
"Google Drive": {
"main": [
[
{
"node": "Google Drive1",
"type": "main",
"index": 0
}
]
]
},
"Google Drive1": {
"main": [
[
{
"node": "Set Main Fields",
"type": "main",
"index": 0
}
]
]
},
"Split Out": {
"main": [
[
{
"node": "Edit Fields",
"type": "main",
"index": 0
}
]
]
},
"Edit Fields": {
"main": [
[
{
"node": "Market Trends Sheet",
"type": "main",
"index": 0
}
]
]
},
"Split Out1": {
"main": [
[
{
"node": "Edit Fields1",
"type": "main",
"index": 0
}
]
]
},
"Edit Fields1": {
"main": [
[
{
"node": "Market News Sheet",
"type": "main",
"index": 0
}
]
]
},
"DataForSeo1": {
"main": [
[
{
"node": "Split Out",
"type": "main",
"index": 0
},
{
"node": "Split Out1",
"type": "main",
"index": 0
}
]
]
},
"Market Trends Sheet": {
"main": [
[]
]
},
"Market News Sheet": {
"main": [
[]
]
}
},
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "6bcbbab9-314d-4905-b0e8-7e5818d382c2",
"meta": {
"templateCredsSetupCompleted": true,
"instanceId": "50f5184d9fcc7c29ec22c63089dd0b469a64db3b806bfd08e07c849820db871b"
},
"id": "TKdqJzNCpUeGf6Ud",
"tags": []
}
As you can see, with the help of Google Finance SERP APIs and the n8n automation platform, you can build tailored financial solutions powered by Google Finance data without writing a single line of code. However, these automation examples are only a fraction of what you can create with DataForSEO and n8n. With such powerful tools, you can develop even more advanced and practical solutions tailored to your unique business needs.
Conclusion
In today’s fast-evolving financial landscape, having instant access to accurate financial data is essential, and Google Finance SERP API delivers exactly that. Whether you want to develop stock monitoring tools or precisely analyze finance market trends, DataForSEO’s Google Finance SERP API is the best solution for integrating real-time data from Google Finance into your projects.
Additionally, with the integrations available for no-code platforms like n8n, even non-developers can effortlessly access Google Finance SERP API data. You can automate daily local market reporting, create custom stock tracking systems, and even more advanced tools without writing a single line of code.
Start building your financial data tools today with DataForSEO, and turn Google Finance into your go-to source for real-time market intelligence!