in
DataForSEO Databases embody the single largest source of up-to-date SERP data designed for businesses that require vast volumes of data as a proprietary solution.
Google Historical Databases offer an opportunity to examine the historical keyword data and SERPs all the way back to the beginning of 2019.
DataForSEO’s offering for historical Google data consists of separate SERP, Keyword, and Full databases available for a variety of locations.
The pricing model for databases depends on the type of the database and the number of historical and current rows it contains.
- Historical Google SERP Database. Every 1 million current rows/SERPs costs $50. At the same time, a million historical SERPs cost $15. At the time of writing, the German SERP database has 19.8M current and 28.5M historical SERPs available for the previous month. Assuming you require historical data for the current and previous months, the price will amount to 19.8*50 + 28.5*15 = $1,418.
- Google Keyword Database. Every 1 million current rows/keywords costs $40, while the row with historical data is priced at 6$. For example, the Historical German Keyword database with 127.1M current and 203.9 historical keywords costs 127.1*40 + 203.9*6 = $6,307.
- Full Google Database. The pricing for Full Historical databases is calculated as the sum of the costs of keywords in the database and the cost of SERPs divided by two. To give you an example, the price for the Full Google Germany Database with data for the previous and current months would be $6,307 + $1,418/2 = $7,016.
Learn more
See docs
Historical Google Keywords Database
Cost for 1M rows in the database with data for current and previous months
$40/current data; $6/historical data
per 1M rows / 1 month
Cost calculation example - Historical Google Germany Database
Historical data range -- 6 months
127.1M current and 203.9 historical keywords
127.1*40 + 203.9*6 = $6,307
.
Historical Google SERPs Database
Cost for 1M rows in the database with data for current and previous months
$50/current data; $15/historical data
per 1M rows / 1 month
Cost calculation example - Historical Google Germany Database
Historical data range: 2 months
19.8M current and 28.5M historical SERPs
19.8*50 + 28.5*15 = $1,418
.
Full Historical Google Database
Cost for 1M rows in the database with data for 1 month
Keyword_Cost+(SERP_Cost/2)
per 1M rows / 1 month
Cost calculation example - Historical Google Germany Database
Historical data range: 2 months
Keyword and SERP data
$6,307 + $1,418/2 = $7,016
.
.