Keyword Finder API

Build a powerful research tool with related, similar, suggested, and ranked keywords. Get a mosaic of useful keywords assembled from four different data-mining algorithms

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Ranked Keywords

Get keywords that any domain and any web page are ranking for.

 

Moreover, with this API you can get:

Organic and paid keywords

Keyword positions

Results snippets

Extra SERP elements

Search volume

Cost per click

Competition value

Website rankings

Traffic cost

Estimated traffic value

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Related Keywords

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Get up to 4680 search-related keywords straight from SERPs. By specifying the related depth you can obtain keywords from four subsequent levels of related search.

 

Each keyword comes with the following data:

Search Volume

Cost per Click

Competition value

Search Volume trend

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Similar Keywords

Get long-tail keyword ideas that include your targeted keyword. Our keyword database is made up of over 1.4 billion queries.

 

Each keyword comes with the following data:

Search Volume value

Search Volume trend

Competition value

Cost per Click

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Suggested Keywords

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Get useful keywords from real-time Google Autocomplete. Add any symbols to the initial query and update your keyword list with hundreds of new relevant ideas.

 

Each keyword comes with the following data:

Relevance score

Search query

Suggestion

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Keywords For Terms

Get keyword ideas from DataForSEO’s own database. This method allows limiting a number of keywords in the results array, thus giving your keyword research more flexibility.

 

Each keyword comes with the following data:

Search volume value

Search volume trend

Cost per click

Competition value

Keyword categories

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Categories For Domain

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Get relevant product categories for website’s keywords. Find out what products or services websites advertise in paid search and what topics they rank for in organic SERPs.

 

Each keyword comes with the following data:

Organic and paid positions

Organic and paid traffic cost

Estimated traffic volume

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Competitors Domain

Get domain names of your competitors determined by analysing the intersections of ranked keywords.

 

All competitor domains come with useful data:

Number of keyword intersections

Number of organic and paid keywords

Domain positions in SERP

Estimated Traffic Value

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SERP Competitors

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Get all essential data on domains ranking for a particular keyword. You can specify the number of domains that you want to get.

 

All domain come with useful data:

Average position

Median position

Keywords count

Rating

Estimated Traffic Volume

Visibility

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Relevant Pages

Get pages relevant to obtained keywords. Discover what positions each URL of the website has in different countries.

 

All relevant pages come with useful data:

Number of organic and paid keywords

Website positions in SERP

Estimated Traffic Value

Language

Country

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Subdomains

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Get rankings of website’s subdomains. With this method you can obtain all the data you need to discover subdomains of the website and estimate their ranking potential.

 

Each subdomain comes with useful data:

Number of organic and paid keywords

Website positions in SERP

Estimated Traffic Value

Language

Country

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Use Cases

Ultimate Keyword Research Tool

Using different functions of Keyword Finder API you can build a multi-functional keyword tool with millions of unique keyword ideas. Every keyword this API provides has a set of metrics (Search Volume, Competition, CPC, ETV, etc.), which is very helpful when it comes to identifying terms with the best ranking potential. What’s more, thanks to customizable filters you can quickly single out the most useful keywords.

Discovering Ranked Keywords

No SEO software is complete without the possibility to provide customers with an extensive list of ranked keywords. Fortunately, you can now rely on Keyword Finder API to add this must-have feature. Using DataForSEO you can not only discover what keywords any website is ranking for, but also find out which terms will work best for exactly you business. Our customizable filtration system and relevant keyword metrics will make the process of obtaining the most useful keyword ideas easier than ever before.

Key features

Get more ideas
Great keyword ideas from Google Autocomplete
Keywords-suggestion-tool
Find out what keywords any website is ranking for
Paid-results
Get keywords from Google Related Search
keywords
 Long-tail keywords to boost conversion rates
web-page-filter
Customizable multi-level filters
update
Constantly updated keyword database
speed (1)
Lightning-fast results delivery

Benefits

User-friendly API

You don’t need to create projects or write a few-dozen-lines of code. Just send a keyword or a domain, specify filter parameters and get an extensive list of timely keywords. Simple as 1-2-3.  

Transparent pricing

With our APIs, you will always know how much you will pay. Every method has a transparent price with no hidden fees or additional costs. No tricks you always get what you pay for.

Comprehensive stats

You will get access to your Private Account with real-time information on your expenses and dynamics of API usage. All stats are provided in the legible and understandable form.

24/7 Friendly support

We will assist you during the entire testing and integration period. You can contact us via Skype/Slack or email. Get in touch with us and get your questions answered straight away.

HOW MUCH DOES KEYWORD FINDER API COST?

Estimate the cost of Keyword Finder API

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Specify the Volumes of Needed Data

Keywords in the results array

Keywords in the results array


Keywords in the results array

Pages in the results array


Subdomains in the results array

Seed keywords in the request array


You need to select an item to continue

NEXT STEP

Final cost

The final estimated price is :

Summary

Description Information Quantity Price
Discount :
Total :

Get your first data for free!

API methods and pricing

Methods/priorities
Keyword Finder API
Related Keywords
Similar Keywords
Ranked keywords
Suggested Keywords
Keywords For Terms
Relevant Pages
Subdomains
Categories For Domain
SERP Competitors
Competitors Domain
Keywords For Categories
Ranked Domains By Category
Domain Intersection
Purpose/description
Keywords Finder API
Get related keywords for one keyword
Get similar keywords for one keyword
Get ranked keywords for domain
Get suggested keywords for one keyword
Get keywords suggestions for a keyword or a group of keywords
Get relevant pages for one domain
Get subdomains for one domain
Get metrics for domain by categories
Get SERP competitors for specified keywords
Get information about competing domains for a specified site, determined by the keywords' intersection
Get keyword ideas for a category
Get domains that rank for keywords in a category
Get keywords that any two domains share in SERPs
Price, credits
Keywords Finder API
0.1 per keyword in response
0.1 per keyword in response
0.1 per keyword in response
25 per request + 0.1 per keyword in response
50 per request + 0.1 per keyword in response
0.1 per relevant page
0.1 per subdomain
10 per request + 0.1 per category
50 per request + 0.1 per domain
50 per request + 0.1 per domain
1 per request + 0.1 per keyword in response
10 per request + 0.1 per domain
25 per request + 0.1 per keyword in response
Price, $
Keywords Finder API
From $0.057 to $0.1 per 1000 returned keywords
From $0.057 to $0.1 per 1000 returned keywords
From $0.057 to $0.1 per 1000 returned keywords
From $0.07125 to $0.125 per 1 request with 1000 returned keywords
From $0.0855 to $0.15 per 1 request with 1000 returned keywords
From $0.057 to $0.1 per 1000 relevant pages
From $0.057 to $0.1 per 1000 subdomains
From $0.0627‬ to $0.11 per 1 request with 1000 returned categories
From $0.0855 to $0.15 per 1 request with 1000 returned domains
From $0.0855 to $0.15 per 1 request with 1000 returned domains
From $0.05757‬ to $0.101 per 1 request with 1000 returned keywords
From $0.0627‬ to $0.11 per 1 request with 1000 returned domains
From $0.07125 to $0.125 per 1 request with 1000 returned keywords

Looking for big volumes or custom pricing? Drop us a line!

KEYWORD FINDER API IN FIGURES

Database volume

  1. Request Sample:

  2. Example (POST https://api.dataforseo.com/v2/kwrd_finder_suggest_tasks_post)
  3. {
  4. "data": {
  5. "11913049": {
  6. "keyword": "ice tea",
  7. "se_id": 4790,
  8. "symbols": ["a", "b", "c"],
  9. "numbers": false
  10. }
  11. }
  12. }
  13. Response Sample:

  14. Example (GET https://api.dataforseo.com/v2/kwrd_finder_suggest_tasks_get/$task_id)
  15. https://api.dataforseo.com/v2/kwrd_finder_suggest_tasks_get/3191554
  16. {
  17. "status": "ok",
  18. "results_time": "0.0504 sec.",
  19. "results_count": 1,
  20. "keyword": "ice tea",
  21. "task_id": 3191554,
  22. "parameters": {
  23. "symbols": [
  24. "a",
  25. "b",
  26. "c"
  27. ]
  28. },
  29. "total_count": 78,
  30. "suggestions": [
  31. {
  32. "number": 1,
  33. "relevance": 602,
  34. "search_query": "ice tea",
  35. "suggestion": "iced tea maker"
  36. },
  37. {
  38. "number": 2,
  39. "relevance": 600,
  40. "search_query": "ice tea",
  41. "suggestion": "ice tea movies"
  42. },
  43. {
  44. "number": 3,
  45. "relevance": 566,
  46. "search_query": "ice tea",
  47. "suggestion": "ice team"
  48. },
  49. .
  50. .
  51. .
  52. {
  53. "number": 20,
  54. "relevance": 603,
  55. "search_query": "ice tea a",
  56. "suggestion": "ice tea actor"
  57. },
  58. {
  59. "number": 21,
  60. "relevance": 601,
  61. "search_query": "ice tea a",
  62. "suggestion": "ice tea and lemonade"
  63. },
  64. {
  65. "number": 22,
  66. "relevance": 600,
  67. "search_query": "ice tea a",
  68. "suggestion": "ice tea and vodka"
  69. },
  70. .
  71. .
  72. .
  73. {
  74. "number": 39,
  75. "relevance": 650,
  76. "search_query": "ice tea b",
  77. "suggestion": "iced tea brands"
  78. },
  79. {
  80. "number": 40,
  81. "relevance": 601,
  82. "search_query": "ice tea b",
  83. "suggestion": "ice tea baby"
  84. },
  85. {
  86. "number": 41,
  87. "relevance": 600,
  88. "search_query": "ice tea b",
  89. "suggestion": "ice tea beer"
  90. },
  91. .
  92. .
  93. .
  94. ]
  95. }
  1. Request Sample:

  2. Example (POST https://api.dataforseo.com/v2/kwrd_finder_similar_tasks_post)
  3. {
  4. "data":{
  5. "11049":{
  6. "keyword": "ice tea",
  7. "country_code": "US",
  8. "language": "en",
  9. "limit": 2,
  10. "offset": 0,
  11. "orderby": "cpc,desc",
  12. "filters": ["search_volume", ">", 10]
  13. }
  14. }
  15. }
  16. Response Sample:

  17. {
  18. "status": "ok",
  19. "results_time": "1.4192 sec.",
  20. "results_count": 1,
  21. "results": {
  22. "11049": {
  23. "post_id": "11049",
  24. "task_id": 3192410,
  25. "meta": {
  26. "keyword": "ice tea",
  27. "limit": 2,
  28. "offset": 0,
  29. "orderby": "cpc,desc",
  30. "total_count": 744,
  31. "result_count": 2
  32. },
  33. "similar": [
  34. {
  35. "key": "ice tea quotes",
  36. "country_code": "US",
  37. "language": "en",
  38. "search_volume": 50,
  39. "competition": 0.10741971207087486,
  40. "cpc": 15.357375,
  41. "history": [
  42. {
  43. "month": 6,
  44. "year": 2019,
  45. "search_volume": 140
  46. },
  47. {
  48. "month": 5,
  49. "year": 2019,
  50. "search_volume": 50
  51. },
  52. {
  53. "month": 4,
  54. "year": 2019,
  55. "search_volume": 50
  56. },
  57. {
  58. "month": 3,
  59. "year": 2019,
  60. "search_volume": 50
  61. },
  62. {
  63. "month": 2,
  64. "year": 2019,
  65. "search_volume": 40
  66. },
  67. {
  68. "month": 1,
  69. "year": 2019,
  70. "search_volume": 30
  71. },
  72. {
  73. "month": 12,
  74. "year": 2018,
  75. "search_volume": 30
  76. },
  77. {
  78. "month": 11,
  79. "year": 2018,
  80. "search_volume": 40
  81. },
  82. {
  83. "month": 10,
  84. "year": 2018,
  85. "search_volume": 30
  86. },
  87. {
  88. "month": 9,
  89. "year": 2018,
  90. "search_volume": 50
  91. },
  92. {
  93. "month": 8,
  94. "year": 2018,
  95. "search_volume": 70
  96. },
  97. {
  98. "month": 7,
  99. "year": 2018,
  100. "search_volume": 70
  101. }
  102. ],
  103. "categories": [
  104. 10002,
  105. 10010,
  106. 10031,
  107. 10083,
  108. 10108,
  109. 10444,
  110. 10756,
  111. 11645,
  112. 13861
  113. ]
  114. },
  115. {
  116. "key": "ice tea rapper",
  117. "country_code": "US",
  118. "language": "en",
  119. "search_volume": 3600,
  120. "competition": 0.01764612199394808,
  121. "cpc": 12.8154,
  122. "history": [
  123. {
  124. "month": 6,
  125. "year": 2019,
  126. "search_volume": 4400
  127. },
  128. {
  129. "month": 5,
  130. "year": 2019,
  131. "search_volume": 4400
  132. },
  133. {
  134. "month": 4,
  135. "year": 2019,
  136. "search_volume": 2900
  137. },
  138. {
  139. "month": 3,
  140. "year": 2019,
  141. "search_volume": 2900
  142. },
  143. {
  144. "month": 2,
  145. "year": 2019,
  146. "search_volume": 2900
  147. },
  148. {
  149. "month": 1,
  150. "year": 2019,
  151. "search_volume": 2400
  152. },
  153. {
  154. "month": 12,
  155. "year": 2018,
  156. "search_volume": 2900
  157. },
  158. {
  159. "month": 11,
  160. "year": 2018,
  161. "search_volume": 3600
  162. },
  163. {
  164. "month": 10,
  165. "year": 2018,
  166. "search_volume": 4400
  167. },
  168. {
  169. "month": 9,
  170. "year": 2018,
  171. "search_volume": 3600
  172. },
  173. {
  174. "month": 8
  175. ,
  176. "year": 2018,
  177. "search_volume": 5400
  178. },
  179. {
  180. "month": 7,
  181. "year": 2018,
  182. "search_volume": 4400
  183. }
  184. ],
  185. "categories": [
  186. 10004,
  187. 10013,
  188. 10103,
  189. 10105,
  190. 10108,
  191. 10109,
  192. 10557,
  193. 10566,
  194. 10584,
  195. 13536,
  196. 13556,
  197. 13557,
  198. 13885
  199. ]
  200. }
  201. ]
  202. }
  203. }
  204. }
  1. Request Sample:

  2. Example (POST https://api.dataforseo.com/v2/kwrd_finder_ranked_tasks_post)
  3. {
  4. "data": {
  5. "11913049": {
  6. "domain": "dataforseo.com"
  7. "country_code": "US",
  8. "language": "en",
  9. "limit": 2,
  10. "offset": 0,
  11. "orderby": "position,asc",
  12. "filters": ["search_volume", ">=", 0]
  13. }
  14. }
  15. }
  16. Response Sample:

  17. {
  18. "status": "ok",
  19. "results_time": "0.3690 sec.",
  20. "results_count": 1,
  21. "results": {
  22. "11049": {
  23. "post_id": "11049",
  24. "task_id": 3192421,
  25. "meta": {
  26. "domain": "dataforseo.com",
  27. "limit": 2,
  28. "offset": 0,
  29. "orderby": "position,asc",
  30. "total_count": 1440,
  31. "actual_metric": {
  32. "organic_count": 1440,
  33. "paid_count": 0,
  34. "etv": 791,
  35. "pos1": 6,
  36. "pos2_3": 13,
  37. "pos4_10": 24,
  38. "pos11_20": 59,
  39. "pos21_30": 102,
  40. "pos31_40": 136,
  41. "pos41_50": 164,
  42. "pos51_60": 179,
  43. "pos61_70": 196,
  44. "pos71_80": 204,
  45. "pos81_90": 173,
  46. "pos91_100": 184,
  47. "paid_pos1": 0,
  48. "paid_pos2_3": 0,
  49. "paid_pos4_10": 0,
  50. "paid_pos11_20": 0,
  51. "paid_pos21_100": 0,
  52. "impressions_etv": 40
  53. },
  54. "result_count": 2
  55. },
  56. "ranked": [
  57. {
  58. "key": "keywords database",
  59. "exact_domain": "dataforseo.com",
  60. "country_code": "US",
  61. "language": "en",
  62. "position": 1,
  63. "url": "https://dataforseo.com/databases/keywords-database",
  64. "relative_url": "/databases/keywords-database",
  65. "results_count": 435000000,
  66. "etv": 21,
  67. "traffic_cost": 281.205246,
  68. "competition": 0.179176,
  69. "cpc": 13.390726,
  70. "date": "2019-07-01T00:00:00+00:00",
  71. "extra": "people_also_ask,related_search",
  72. "search_volume": 70,
  73. "spell": "",
  74. "title": "Google keywords research database. Download keyword list ...",
  75. "snippet": "Get the full keywords database for a region you're interested in. You'll receive comprehensive insights and information for a single keyword. What we've ...",
  76. "categories": [
  77. 10004,
  78. 10007,
  79. 10019,
  80. 10168,
  81. 10276,
  82. 10296,
  83. 10885,
  84. 11088,
  85. 11271,
  86. 12205,
  87. 12209,
  88. 12376,
  89. 13100,
  90. 13418
  91. ],
  92. "impressions_etv": 12,
  93. "daily_impressions_avg": 1.409999966621399,
  94. "ads_pos1_cpc": 272.3900146484375,
  95. "ads_pos1_daily_clicks": 0.029999999329447746,
  96. "ads_pos1_daily_cost": 7.5
  97. },
  98. {
  99. "key": "google serp data",
  100. "exact_domain": "dataforseo.com",
  101. "country_code": "US",
  102. "language": "en",
  103. "position": 2,
  104. "url": "https://dataforseo.com/databases/serps-database",
  105. "relative_url": "/databases/serps-database",
  106. "results_count": 3140000,
  107. "etv": 1,
  108. "traffic_cost": 9.619748,
  109. "competition": 0.142857,
  110. "cpc": 9.619748,
  111. "date": "2019-07-01T00:00:00+00:00",
  112. "extra": "people_also_ask,images,related_search",
  113. "search_volume": 10,
  114. "spell": "",
  115. "title": "Google SERP database. Google reverse (inverted) TOP100 keywords ...",
  116. "snippet": "Get the full SERP database for the region you're interested in. You'll receive comprehensive insights and information about any website or URL on the web.",
  117. "categories": [],
  118. "impressions_etv": 0,
  119. "daily_impressions_avg": 0,
  120. "ads_pos1_cpc": 0,
  121. "ads_pos1_daily_clicks": 0,
  122. "ads_pos1_daily_cost": 0
  123. }
  124. ]
  125. }
  126. }
  127. }
		
  1. Request Sample:

  2. Example (POST https://api.dataforseo.com/v2/kwrd_finder_relevant_pages_get)
  3. {
  4. "data":{
  5. "11913049": {
  6. "domain": "semrush.com",
  7. "country_code": "US",
  8. "language":"en",
  9. "limit": 5
  10. }
  11. }
  12. }
  13. Response Sample:

  14. {
  15. "status": "ok",
  16. "results_time": "1.0838 sec.",
  17. "results_count": 1,
  18. "results": {
  19. "11913049": {
  20. "post_id": "11913049",
  21. "task_id": 3229356,
  22. "meta": {
  23. "domain": "semrush.com",
  24. "limit": 5,
  25. "offset": 0,
  26. "orderby": "organic_count,desc",
  27. "total_count": 4942,
  28. "result_count": 5
  29. },
  30. "relevant_pages": [
  31. {
  32. "page_address": "www.semrush.com/",
  33. "country_code": "US",
  34. "language": "en",
  35. "organic_count": 10985,
  36. "paid_count": 0,
  37. "impressions_etv": 11191,
  38. "etv": 62222,
  39. "pos1": 55,
  40. "pos2_3": 23,
  41. "pos4_10": 224,
  42. "pos11_20": 503,
  43. "pos21_30": 804,
  44. "pos31_40": 892,
  45. "pos41_50": 1075,
  46. "pos51_60": 1213,
  47. "pos61_70": 1272,
  48. "pos71_80": 1456,
  49. "pos81_90": 1676,
  50. "pos91_100": 1792,
  51. "paid_pos1": 0,
  52. "paid_pos2_3": 0,
  53. "paid_pos4_10": 0,
  54. "paid_pos11_20": 0,
  55. "paid_pos21_100": 0
  56. },
  57. {
  58. "page_address": "www.semrush.com/blog/5-best-keyword-research-tools-for-startups/",
  59. "country_code": "US",
  60. "language": "en",
  61. "organic_count": 2277,
  62. "paid_count": 0,
  63. "impressions_etv": 906,
  64. "etv": 32285,
  65. "pos1": 68,
  66. "pos2_3": 63,
  67. "pos4_10": 345,
  68. "pos11_20": 945,
  69. "pos21_30": 270,
  70. "pos31_40": 161,
  71. "pos41_50": 116,
  72. "pos51_60": 85,
  73. "pos61_70": 75,
  74. "pos71_80": 63,
  75. "pos81_90": 42,
  76. "pos91_100": 44,
  77. "paid_pos1": 0,
  78. "paid_pos2_3": 0,
  79. "paid_pos4_10": 0,
  80. "paid_pos11_20": 0,
  81. "paid_pos21_100": 0
  82. },
  83. {
  84. "page_address": "www.semrush.com/features/position-tracking/",
  85. "country_code": "US",
  86. "language": "en",
  87. "organic_count": 1683,
  88. "paid_count": 0,
  89. "impressions_etv": 229,
  90. "etv": 6876,
  91. "pos1": 35,
  92. "pos2_3": 49,
  93. "pos4_10": 262,
  94. "pos11_20": 467,
  95. "pos21_30": 246,
  96. "pos31_40": 184,
  97. "pos41_50": 137,
  98. "pos51_60": 79,
  99. "pos61_70": 65,
  100. "pos71_80": 57,
  101. "pos81_90": 48,
  102. "pos91_100": 54,
  103. "paid_pos1": 0,
  104. "paid_pos2_3": 0,
  105. "paid_pos4_10": 0,
  106. "paid_pos11_20": 0,
  107. "paid_pos21_100": 0
  108. },
  109. {
  110. "page_address": "www.semrush.com/blog/10-awesome-visual-proven-sitemap-generator-tools/",
  111. "country_code": "US",
  112. "language": "en",
  113. "organic_count": 1377,
  114. "paid_count": 0,
  115. "impressions_etv": 278,
  116. "etv": 9043,
  117. "pos1": 40,
  118. "pos2_3": 127,
  119. "pos4_10": 343,
  120. "pos11_20": 124,
  121. "pos21_30": 68,
  122. "pos31_40": 96,
  123. "pos41_50": 83,
  124. "pos51_60": 96,
  125. "pos61_70": 102,
  126. "pos71_80": 104,
  127. "pos81_90": 96,
  128. "pos91_100": 98,
  129. "paid_pos1": 0,
  130. "paid_pos2_3": 0,
  131. "paid_pos4_10": 0,
  132. "paid_pos11_20": 0,
  133. "paid_pos21_100": 0
  134. },
  135. {
  136. "page_address": "www.semrush.com/blog/the-ultimate-list-of-tech-and-marketing-conferences-and-events-in-2019/",
  137. "country_code": "US",
  138. "language": "en",
  139. "organic_count": 1096,
  140. "paid_count": 0,
  141. "impressions_etv": 218,
  142. "etv": 685,
  143. "pos1": 7,
  144. "pos2_3": 19,
  145. "pos4_10": 94,
  146. "pos11_20": 155,
  147. "pos21_30": 108,
  148. "pos31_40": 94,
  149. "pos41_50": 116,
  150. "pos51_60": 84,
  151. "pos61_70": 126,
  152. "pos71_80": 116,
  153. "pos81_90": 104,
  154. "pos91_100": 73,
  155. "paid_pos1": 0,
  156. "paid_pos2_3": 0,
  157. "paid_pos4_10": 0,
  158. "paid_pos11_20": 0,
  159. "paid_pos21_100": 0
  160. }
  161. ]
  162. }
  163. }
  164. }
		
  1. Request Sample:

  2. Example (POST https://api.dataforseo.com/v2/kwrd_finder_subdomains_get)
  3. {
  4. "data":{
  5. "11913049": {
  6. "domain": "similarweb.com",
  7. "country_code": "US",
  8. "language":"en",
  9. "limit": 3
  10. }
  11. }
  12. }
  13. Response Sample:

  14. {
  15. "status": "ok",
  16. "results_time": "27.0221 sec.",
  17. "results_count": 1,
  18. "results": {
  19. "11913049": {
  20. "post_id": "11913049",
  21. "task_id": 3229987,
  22. "meta": {
  23. "domain": "similarweb.com",
  24. "limit": 3,
  25. "offset": 0,
  26. "orderby": "organic_count,desc",
  27. "total_count": 4,
  28. "result_count": 3
  29. },
  30. "subdomains": [
  31. {
  32. "exact_domain": "www.similarweb.com",
  33. "country_code": "US",
  34. "language": "en",
  35. "organic_count": 253361,
  36. "paid_count": 0,
  37. "etv": 7011861,
  38. "pos1": 1846,
  39. "pos2_3": 4406,
  40. "pos4_10": 21602,
  41. "pos11_20": 36875,
  42. "pos21_30": 40117,
  43. "pos31_40": 36538,
  44. "pos41_50": 30923,
  45. "pos51_60": 25221,
  46. "pos61_70": 20253,
  47. "pos71_80": 15836,
  48. "pos81_90": 11955,
  49. "pos91_100": 7789,
  50. "paid_pos1": 0,
  51. "paid_pos2_3": 0,
  52. "paid_pos4_10": 0,
  53. "paid_pos11_20": 0,
  54. "paid_pos21_100": 0
  55. },
  56. {
  57. "exact_domain": "support.similarweb.com",
  58. "country_code": "US",
  59. "language": "en",
  60. "organic_count": 794,
  61. "paid_count": 0,
  62. "etv": 540,
  63. "pos1": 16,
  64. "pos2_3": 15,
  65. "pos4_10": 70,
  66. "pos11_20": 52,
  67. "pos21_30": 60,
  68. "pos31_40": 73,
  69. "pos41_50": 85,
  70. "pos51_60": 88,
  71. "pos61_70": 88,
  72. "pos71_80": 81,
  73. "pos81_90": 86,
  74. "pos91_100": 80,
  75. "paid_pos1": 0,
  76. "paid_pos2_3": 0,
  77. "paid_pos4_10": 0,
  78. "paid_pos11_20": 0,
  79. "paid_pos21_100": 0
  80. },
  81. {
  82. "exact_domain": "mwc.similarweb.com",
  83. "country_code": "US",
  84. "language": "en",
  85. "organic_count": 270,
  86. "paid_count": 0,
  87. "etv": 345,
  88. "pos1": 0,
  89. "pos2_3": 1,
  90. "pos4_10": 14,
  91. "pos11_20": 36,
  92. "pos21_30": 59,
  93. "pos31_40": 46,
  94. "pos41_50": 41,
  95. "pos51_60": 23,
  96. "pos61_70": 25,
  97. "pos71_80": 14,
  98. "pos81_90": 8,
  99. "pos91_100": 3,
  100. "paid_pos1": 0,
  101. "paid_pos2_3": 0,
  102. "paid_pos4_10": 0,
  103. "paid_pos11_20": 0,
  104. "paid_pos21_100": 0
  105. }
  106. ]
  107. }
  108. }
  109. }
        
  1. Request Sample:

  2. Example (POST https://api.dataforseo.com/v2/kwrd_finder_categories_for_domain_get)
  3. {
  4. "data":{
  5. "11913049": {
  6. "domain": "hide.co.uk",
  7. "country_code": "GB",
  8. "language": "en",
  9. "limit": 10,
  10. "orderby": "organic_count,desc"
  11. }
  12. }
  13. }
  14. Response Sample:

  15. {
  16. "status": "ok",
  17. "results_time": "0.5636 sec.",
  18. "results_count": 1,
  19. "results": {
  20. "11913049": {
  21. "post_id": "11913049",
  22. "task_id": 1268696,
  23. "meta": {
  24. "domain": "hide.co.uk",
  25. "limit": 10,
  26. "offset": 0,
  27. "orderby": "organic_count,desc",
  28. "type": "organic",
  29. "total_count": 39,
  30. "result_count": 10
  31. },
  32. "categories": [
  33. {
  34. "category": [],
  35. "country_code": "GB",
  36. "language": "en",
  37. "organic_count": 493,
  38. "paid_count": 0,
  39. "organic_traffic_cost": 3085.219878,
  40. "paid_traffic_cost": 0,
  41. "etv": 3687,
  42. "date": "2019-05-24 00:00:00+00:00",
  43. "pos1": 42,
  44. "pos2_3": 3,
  45. "pos4_10": 19,
  46. "pos11_20": 34,
  47. "pos21_30": 44,
  48. "pos31_40": 41,
  49. "pos41_50": 41,
  50. "pos51_60": 43,
  51. "pos61_70": 57,
  52. "pos71_80": 59,
  53. "pos81_90": 47,
  54. "pos91_100": 63,
  55. "paid_pos1": 0,
  56. "paid_pos2_3": 0,
  57. "paid_pos4_10": 0,
  58. "paid_pos11_20": 0,
  59. "paid_pos21_100": 0
  60. },
  61. {
  62. "category": [
  63. 10020
  64. ],
  65. "country_code": "GB",
  66. "language": "en",
  67. "organic_count": 161,
  68. "paid_count": 0,
  69. "organic_traffic_cost": 7338.505013,
  70. "paid_traffic_cost": 0,
  71. "etv": 6308,
  72. "date": "2019-05-24 00:00:00+00:00",
  73. "pos1": 7,
  74. "pos2_3": 0,
  75. "pos4_10": 4,
  76. "pos11_20": 10,
  77. "pos21_30": 11,
  78. "pos31_40": 16,
  79. "pos41_50": 17,
  80. "pos51_60": 21,
  81. "pos61_70": 18,
  82. "pos71_80": 18,
  83. "pos81_90": 18,
  84. "pos91_100": 21,
  85. "paid_pos1": 0,
  86. "paid_pos2_3": 0,
  87. "paid_pos4_10": 0,
  88. "paid_pos11_20": 0,
  89. "paid_pos21_100": 0
  90. },
  91. {
  92. "category": [
  93. 10169
  94. ],
  95. "country_code": "GB",
  96. "language": "en",
  97. "organic_count": 98,
  98. "paid_count": 0,
  99. "organic_traffic_cost": 19012.519,
  100. "paid_traffic_cost": 0,
  101. "etv": 9801,
  102. "date": "2019-05-24 00:00:00+00:00",
  103. "pos1": 1,
  104. "pos2_3": 0,
  105. "pos4_10": 5,
  106. "pos11_20": 8,
  107. "pos21_30": 13,
  108. "pos31_40": 11,
  109. "pos41_50": 4,
  110. "pos51_60": 8,
  111. "pos61_70": 13,
  112. "pos71_80": 11,
  113. "pos81_90": 14,
  114. "pos91_100": 10,
  115. "paid_pos1": 0,
  116. "paid_pos2_3": 0,
  117. "paid_pos4_10": 0,
  118. "paid_pos11_20": 0,
  119. "paid_pos21_100": 0
  120. },
  121. {
  122. "category": [
  123. 10017
  124. ],
  125. "country_code": "GB",
  126. "language": "en",
  127. "organic_count": 73,
  128. "paid_count": 0,
  129. "organic_traffic_cost": 1680.391725,
  130. "paid_traffic_cost": 0,
  131. "etv": 1182,
  132. "date": "2019-05-24 00:00:00+00:00",
  133. "pos1": 3,
  134. "pos2_3": 0,
  135. "pos4_10": 3,
  136. "pos11_20": 8,
  137. "pos21_30": 4,
  138. "pos31_40": 3,
  139. "pos41_50": 3,
  140. "pos51_60": 11,
  141. "pos61_70": 6,
  142. "pos71_80": 12,
  143. "pos81_90": 10,
  144. "pos91_100": 10,
  145. "paid_pos1": 0,
  146. "paid_pos2_3": 0,
  147. "paid_pos4_10": 0,
  148. "paid_pos11_20": 0,
  149. "paid_pos21_100": 0
  150. },
  151. {
  152. "category": [
  153. 10010
  154. ],
  155. "country_code": "GB",
  156. "language": "en",
  157. "organic_count": 43,
  158. "paid_count": 0,
  159. "organic_traffic_cost": 37.772547,
  160. "paid_traffic_cost": 0,
  161. "etv": 17,
  162. "date": "2019-05-24 00:00:00+00:00",
  163. "pos1": 0,
  164. "pos2_3": 0,
  165. "pos4_10": 3,
  166. "pos11_20": 3,
  167. "pos21_30": 2,
  168. "pos31_40": 4,
  169. "pos41_50": 4,
  170. "pos51_60": 10,
  171. "pos61_70": 3,
  172. "pos71_80": 5,
  173. "pos81_90": 6,
  174. "pos91_100": 3,
  175. "paid_pos1": 0,
  176. "paid_pos2_3": 0,
  177. "paid_pos4_10": 0,
  178. "paid_pos11_20": 0,
  179. "paid_pos21_100": 0
  180. },
  181. {
  182. "category": [
  183. 10769
  184. ],
  185. "country_code": "GB",
  186. "language": "en",
  187. "organic_count": 30,
  188. "paid_count": 0,
  189. "organic_traffic_cost": 4.0803,
  190. "paid_traffic_cost": 0,
  191. "etv": 9,
  192. "date": "2019-05-24 00:00:00+00:00",
  193. "pos1": 0,
  194. "pos2_3": 0,
  195. "pos4_10": 2,
  196. "pos11_20": 3,
  197. "pos21_30": 1,
  198. "pos31_40": 2,
  199. "pos41_50": 0,
  200. "pos51_60": 7,
  201. "pos61_70": 2,
  202. "pos71_80": 6,
  203. "pos81_90": 5,
  204. "pos91_100": 2,
  205. "paid_pos1": 0,
  206. "paid_pos2_3": 0,
  207. "paid_pos4_10": 0,
  208. "paid_pos11_20": 0,
  209. "paid_pos21_100": 0
  210. },
  211. {
  212. "category": [
  213. 10016
  214. ],
  215. "country_code": "GB",
  216. "language": "en",
  217. "organic_count": 19,
  218. "paid_count": 0,
  219. "organic_traffic_cost": 6.564005,
  220. "paid_traffic_cost": 0,
  221. "etv": 7,
  222. "date": "2019-05-24 00:00:00+00:00",
  223. "pos1": 0,
  224. "pos2_3": 0,
  225. "pos4_10": 0,
  226. "pos11_20": 1,
  227. "pos21_30": 2,
  228. "pos31_40": 1,
  229. "pos41_50": 1,
  230. "pos51_60": 2,
  231. "pos61_70": 3,
  232. "pos71_80": 4,
  233. "pos81_90": 3,
  234. "pos91_100": 2,
  235. "paid_pos1": 0,
  236. "paid_pos2_3": 0,
  237. "paid_pos4_10": 0,
  238. "paid_pos11_20": 0,
  239. "paid_pos21_100": 0
  240. },
  241. {
  242. "category": [
  243. 10004
  244. ],
  245. "country_code": "GB",
  246. "language": "en",
  247. "organic_count": 18,
  248. "paid_count": 0,
  249. "organic_traffic_cost": 1279.007258,
  250. "paid_traffic_cost": 0,
  251. "etv": 713,
  252. "date": "2019-05-24 00:00:00+00:00",
  253. "pos1": 1,
  254. "pos2_3": 2,
  255. "pos4_10": 0,
  256. "pos11_20": 0,
  257. "pos21_30": 3,
  258. "pos31_40": 2,
  259. "pos41_50": 2,
  260. "pos51_60": 3,
  261. "pos61_70": 1,
  262. "pos71_80": 2,
  263. "pos81_90": 0,
  264. "pos91_100": 2,
  265. "paid_pos1": 0,
  266. "paid_pos2_3": 0,
  267. "paid_pos4_10": 0,
  268. "paid_pos11_20": 0,
  269. "paid_pos21_100": 0
  270. },
  271. {
  272. "category": [
  273. 13600
  274. ],
  275. "country_code": "GB",
  276. "language": "en",
  277. "organic_count": 13,
  278. "paid_count": 0,
  279. "organic_traffic_cost": 0,
  280. "paid_traffic_cost": 0,
  281. "etv": 3,
  282. "date": "2019-05-24 00:00:00+00:00",
  283. "pos1": 0,
  284. "pos2_3": 0,
  285. "pos4_10": 0,
  286. "pos11_20": 0,
  287. "pos21_30": 2,
  288. "pos31_40": 1,
  289. "pos41_50": 3,
  290. "pos51_60": 1,
  291. "pos61_70": 0,
  292. "pos71_80": 1,
  293. "pos81_90": 1,
  294. "pos91_100": 4,
  295. "paid_pos1": 0,
  296. "paid_pos2_3": 0,
  297. "paid_pos4_10": 0,
  298. "paid_pos11_20": 0,
  299. "paid_pos21_100": 0
  300. },
  301. {
  302. "category": [
  303. 13008
  304. ],
  305. "country_code": "GB",
  306. "language": "en",
  307. "organic_count": 10,
  308. "paid_count": 0,
  309. "organic_traffic_cost": 5.190146,
  310. "paid_traffic_cost": 0,
  311. "etv": 13,
  312. "date": "2019-05-24 00:00:00+00:00",
  313. "pos1": 0,
  314. "pos2_3": 0,
  315. "pos4_10": 2,
  316. "pos11_20": 1,
  317. "pos21_30": 1,
  318. "pos31_40": 2,
  319. "pos41_50": 0,
  320. "pos51_60": 2,
  321. "pos61_70": 0,
  322. "pos71_80": 1,
  323. "pos81_90": 1,
  324. "pos91_100": 0,
  325. "paid_pos1": 0,
  326. "paid_pos2_3": 0,
  327. "paid_pos4_10": 0,
  328. "paid_pos11_20": 0,
  329. "paid_pos21_100": 0
  330. }
  331. ]
  332. }
  333. }
  334. }
        
  1. Request Sample:

  2. Example (POST https://api.dataforseo.com/v2/kwrd_finder_domain_competitors)
  3. {
  4. "data": {
  5. "11913041": {
  6. "country_code":"US",
  7. "language":"en",
  8. "domain": "dataforseo.com",
  9. "limit":10
  10. }
  11. }
  12. }
  13. Response Sample:

  14. {
  15. "status": "ok",
  16. "results_time": "3.0134 sec.",
  17. "results_count": 1,
  18. "results": {
  19. "11913041": {
  20. "post_id": "11913041",
  21. "task_id": 1257106,
  22. "meta": {
  23. "country_code": "US",
  24. "language": "en",
  25. "domain": "dataforseo.com",
  26. "type": "organic",
  27. "limit": 10,
  28. "orderby": "intersections,desc",
  29. "result_count": 10
  30. },
  31. "competitors": [
  32. {
  33. "domain": "dataforseo.com",
  34. "intersections": 916,
  35. "pos_sum": 56325,
  36. "avg_pos": 61.49017467248908,
  37. "metrics": {
  38. "organic_count": 916,
  39. "paid_count": 9,
  40. "etv": 663,
  41. "pos1": 3,
  42. "pos2_3": 7,
  43. "pos4_10": 23,
  44. "pos11_20": 21,
  45. "pos21_30": 50,
  46. "pos31_40": 82,
  47. "pos41_50": 98,
  48. "pos51_60": 145,
  49. "pos61_70": 129,
  50. "pos71_80": 121,
  51. "pos81_90": 123,
  52. "pos91_100": 114,
  53. "paid_pos1": 3,
  54. "paid_pos2_3": 5,
  55. "paid_pos4_10": 1,
  56. "paid_pos11_20": 0,
  57. "paid_pos21_100": 0
  58. }
  59. },
  60. {
  61. "domain": "quora.com",
  62. "intersections": 824,
  63. "pos_sum": 25976,
  64. "avg_pos": 31.524271844660195,
  65. "metrics": {
  66. "organic_count": 32274509,
  67. "paid_count": 0,
  68. "etv": 216701838,
  69. "pos1": 560100,
  70. "pos2_3": 1288017,
  71. "pos4_10": 4817374,
  72. "pos11_20": 5763842,
  73. "pos21_30": 4612861,
  74. "pos31_40": 3614436,
  75. "pos41_50": 2940681,
  76. "pos51_60": 2478975,
  77. "pos61_70": 2087977,
  78. "pos71_80": 1725691,
  79. "pos81_90": 1403220,
  80. "pos91_100": 981335,
  81. "paid_pos1": 0,
  82. "paid_pos2_3": 0,
  83. "paid_pos4_10": 0,
  84. "paid_pos11_20": 0,
  85. "paid_pos21_100": 0
  86. }
  87. },
  88. {
  89. "domain": "moz.com",
  90. "intersections": 773,
  91. "pos_sum": 11076,
  92. "avg_pos": 14.328589909443727,
  93. "metrics": {
  94. "organic_count": 288127,
  95. "paid_count": 380,
  96. "etv": 3380708,
  97. "pos1": 3752,
  98. "pos2_3": 5318,
  99. "pos4_10": 19557,
  100. "pos11_20": 25837,
  101. "pos21_30": 26214,
  102. "pos31_40": 28344,
  103. "pos41_50": 30794,
  104. "pos51_60": 31381,
  105. "pos61_70": 31121,
  106. "pos71_80": 30266,
  107. "pos81_90": 29686,
  108. "pos91_100": 25857,
  109. "paid_pos1": 122,
  110. "paid_pos2_3": 243,
  111. "paid_pos4_10": 15,
  112. "paid_pos11_20": 0,
  113. "paid_pos21_100": 0
  114. }
  115. },
  116. {
  117. "domain": "google.com",
  118. "intersections": 761,
  119. "pos_sum": 22402,
  120. "avg_pos": 29.437582128777922,
  121. "metrics": {
  122. "organic_count": 87318958,
  123. "paid_count": 6079,
  124. "etv": 3440879886,
  125. "pos1": 536915,
  126. "pos2_3": 570902,
  127. "pos4_10": 2843155,
  128. "pos11_20": 7069719,
  129. "pos21_30": 7558212,
  130. "pos31_40": 8244961,
  131. "pos41_50": 8918941,
  132. "pos51_60": 9761893,
  133. "pos61_70": 10772621,
  134. "pos71_80": 11361769,
  135. "pos81_90": 11114253,
  136. "paid_pos1": 4418,
  137. "pos91_100": 8565617,
  138. "paid_pos2_3": 1476,
  139. "paid_pos4_10": 185,
  140. "paid_pos11_20": 0,
  141. "paid_pos21_100": 0
  142. }
  143. },
  144. {
  145. "domain": "ahrefs.com",
  146. "intersections": 685,
  147. "pos_sum": 17087,
  148. "avg_pos": 24.944525547445256,
  149. "metrics":
  150. {
  151. "organic_count": 82321,
  152. "paid_count": 0,
  153. "etv": 1417521,
  154. "pos1": 1769,
  155. "pos2_3": 2648,
  156. "pos4_10": 7451,
  157. "pos11_20": 7201,
  158. "pos21_30": 7660,
  159. "pos31_40": 7615,
  160. "pos41_50": 7954,
  161. "pos51_60": 8022,
  162. "pos61_70": 8081,
  163. "pos71_80": 8139,
  164. "pos81_90": 8324,
  165. "pos91_100": 7457,
  166. "paid_pos1": 0,
  167. "paid_pos2_3": 0,
  168. "paid_pos4_10": 0,
  169. "paid_pos11_20": 0,
  170. "paid_pos21_100": 0
  171. }
  172. },
  173. {
  174. "domain": "semrush.com",
  175. "intersections": 656,
  176. "pos_sum": 21644,
  177. "avg_pos": 32.99390243902439,
  178. "metrics": {
  179. "organic_count": 95442,
  180. "paid_count": 5801,
  181. "etv": 1035297,
  182. "pos1": 740,
  183. "pos2_3": 1038,
  184. "pos4_10": 4828,
  185. "pos11_20": 9452,
  186. "pos21_30": 9548,
  187. "pos31_40": 9599,
  188. "pos41_50": 10234,
  189. "pos51_60": 10361,
  190. "pos61_70": 10262,
  191. "pos71_80": 9956,
  192. "pos81_90": 10190,
  193. "pos91_100": 9234,
  194. "paid_pos1": 4739,
  195. "paid_pos2_3": 998,
  196. "paid_pos4_10": 64,
  197. "paid_pos11_20": 0,
  198. "paid_pos21_100": 0
  199. }
  200. },
  201. {
  202. "domain": "wordstream.com",
  203. "intersections": 629,
  204. "pos_sum": 13948,
  205. "avg_pos": 22.174880763116057,
  206. "metrics": {
  207. "organic_count": 403851,
  208. "paid_count": 679,
  209. "etv": 8930260,
  210. "pos1": 9376,
  211. "pos2_3": 12356,
  212. "pos4_10": 36708,
  213. "pos11_20": 42728,
  214. "pos21_30": 43385,
  215. "pos31_40": 41585,
  216. "pos41_50": 39671,
  217. "pos51_60": 38722,
  218. "pos61_70": 37705,
  219. "pos71_80": 36865,
  220. "pos81_90": 35344,
  221. "pos91_100": 29406,
  222. "paid_pos1": 289,
  223. "paid_pos2_3": 320,
  224. "paid_pos4_10": 70,
  225. "paid_pos11_20": 0,
  226. "paid_pos21_100": 0
  227. }
  228. },
  229. {
  230. "domain": "serps.com",
  231. "intersections": 623,
  232. "pos_sum": 6592,
  233. "avg_pos": 10.581059390048154,
  234. "metrics": {
  235. "organic_count": 9036,
  236. "paid_count": 0,
  237. "etv": 77299,
  238. "pos1": 107,
  239. "pos2_3": 469,
  240. "pos4_10": 2295,
  241. "pos11_20": 1544,
  242. "pos21_30": 840,
  243. "pos31_40": 591,
  244. "pos41_50": 593,
  245. "pos51_60": 564,
  246. "pos61_70": 514,
  247. "pos71_80": 526,
  248. "pos81_90": 532,
  249. "pos91_100": 461,
  250. "paid_pos1": 0,
  251. "paid_pos2_3": 0,
  252. "paid_pos4_10": 0,
  253. "paid_pos11_20": 0,
  254. "paid_pos21_100": 0
  255. }
  256. },
  257. {
  258. "domain": "searchenginejournal.com",
  259. "intersections": 600,
  260. "pos_sum": 23028,
  261. "avg_pos": 38.38,
  262. "metrics": {
  263. "organic_count": 260926,
  264. "paid_count": 0,
  265. "etv": 4583021,
  266. "pos1": 2236,
  267. "pos2_3": 4625,
  268. "pos4_10": 19263,
  269. "pos11_20": 28154,
  270. "pos21_30": 26994,
  271. "pos31_40": 27572,
  272. "pos41_50": 27691,
  273. "pos51_60": 26913,
  274. "pos61_70": 26062,
  275. "pos71_80": 25521,
  276. "pos81_90": 24697,
  277. "pos91_100": 21198,
  278. "paid_pos1": 0,
  279. "paid_pos2_3": 0,
  280. "paid_pos4_10": 0,
  281. "paid_pos11_20": 0,
  282. "paid_pos21_100": 0
  283. }
  284. },
  285. {
  286. "domain": "link-assistant.com",
  287. "intersections": 557,
  288. "pos_sum": 22874,
  289. "avg_pos": 41.06642728904848,
  290. "metrics": {
  291. "organic_count": 30267,
  292. "paid_count": 17,
  293. "etv": 186835,
  294. "pos1": 237,
  295. "pos2_3": 375,
  296. "pos4_10": 1556,
  297. "pos11_20": 2794,
  298. "pos21_30": 3190,
  299. "pos31_40": 3423,
  300. "pos41_50": 3411,
  301. "pos51_60": 3364,
  302. "pos61_70": 3271,
  303. "pos71_80": 3092,
  304. "pos81_90": 3038,
  305. "pos91_100": 2516,
  306. "paid_pos1": 7,
  307. "paid_pos2_3": 10,
  308. "paid_pos4_10": 0,
  309. "paid_pos11_20": 0,
  310. "paid_pos21_100": 0
  311. }
  312. }
  313. ]
  314. }
  315. }
  316. }
        
  1. Request Sample:

  2. Example (POST https://api.dataforseo.com/v2/kwrd_finder_serp_competitors)
  3. {
  4. "data": {
  5. "25613041": {
  6. "country_code":"US",
  7. "language":"en",
  8. "keywords":["seo", "site checker"],
  9. "limit":10
  10. }
  11. }
  12. }
  13. Response Sample:

  14. {
  15. "status": "ok",
  16. "results_time": "0.1811 sec.",
  17. "results_count": 1,
  18. "results": {
  19. "25613041": {
  20. "post_id": "25613041",
  21. "task_id": 1269624,
  22. "meta": {
  23. "country_code": "US",
  24. "loc": 2840,
  25. "language": "en",
  26. "keywords": [
  27. "seo",
  28. "site checker"
  29. ],
  30. "limit": 10,
  31. "result_count": 10
  32. },
  33. "domains": [
  34. {
  35. "domain": "neilpatel.com",
  36. "avg_position": 7.5,
  37. "median_position": 7.5,
  38. "keywords_count": 2,
  39. "rating": 185,
  40. "etv": 8912,
  41. "visibility": 0.75
  42. },
  43. {
  44. "domain": "moz.com",
  45. "avg_position": 12.5,
  46. "median_position": 12.5,
  47. "keywords_count": 2,
  48. "rating": 175,
  49. "etv": 41043,
  50. "visibility": 1
  51. },
  52. {
  53. "domain": "www.thinkwithgoogle.com",
  54. "avg_position": 37.5,
  55. "median_position": 37.5,
  56. "keywords_count": 2,
  57. "rating": 125,
  58. "etv": 286,
  59. "visibility": 0
  60. },
  61. {
  62. "domain": "ahrefs.com",
  63. "avg_position": 38,
  64. "median_position": 38,
  65. "keywords_count": 2,
  66. "rating": 124,
  67. "etv": 286,
  68. "visibility": 0
  69. },
  70. {
  71. "domain": "support.google.com",
  72. "avg_position": 41.5,
  73. "median_position": 41.5,
  74. "keywords_count": 2,
  75. "rating": 117,
  76. "etv": 6334,
  77. "visibility": 0.6
  78. },
  79. {
  80. "domain": "www.screamingfrog.co.uk",
  81. "avg_position": 50,
  82. "median_position": 50,
  83. "keywords_count": 2,
  84. "rating": 100,
  85. "etv": 367,
  86. "visibility": 0.05
  87. },
  88. {
  89. "domain": "sitechecker.pro",
  90. "avg_position": 1,
  91. "median_position": 1,
  92. "keywords_count": 1,
  93. "rating": 99,
  94. "etv": 438,
  95. "visibility": 1
  96. },
  97. {
  98. "domain": "searchengineland.com",
  99. "avg_position": 2,
  100. "median_position": 2,
  101. "keywords_count": 1,
  102. "rating": 98,
  103. "etv": 21870,
  104. "visibility": 0.9
  105. },
  106. {
  107. "domain": "nibbler.silktide.com",
  108. "avg_position": 2,
  109. "median_position": 2,
  110. "keywords_count": 1,
  111. "rating": 98,
  112. "etv": 240,
  113. "visibility": 0.9
  114. },
  115. {
  116. "domain": "en.wikipedia.org",
  117. "avg_position": 3,
  118. "median_position": 3,
  119. "keywords_count": 1,
  120. "rating": 97,
  121. "etv": 13135,
  122. "visibility": 0.8
  123. }
  124. ]
  125. }
  126. }
  127. }

Ready to start? Test our API for free!