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 Finder API

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 Finder API

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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 Finder API

Get long-tail keyword ideas that include your targeted keyword. Our keyword database is made up of over 838 million queries.

 

Each keyword comes with the following data:

Search Volume value

Search Volume trend

Competition value

Cost per Click

Try for free

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Suggested Keywords Finder API

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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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Keyword Finder API

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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Keyword Finder API

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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Keyword Finder API

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

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

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Final cost

The final estimated price is :

Summary

Description Information Quantity Price
Discount :
Total :

Get your first data for free!

API methods and pricing

Related keywords
Pull keywords out of Google Related Search
0,1 credit per each result in the array
Similar keywords
Build a list of unique long-tail keyword ideas
0,1 credit per each result in the array
Ranked keywords
Find out what keywords a website is ranking for
0,1 credit per each result in the array
Suggested keywords
Get keywords from Google Autocomplete
25 credits to set a task
0,1 credit to collect results

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 a list of relevant 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.

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. "numbers": false
  8. }
  9. }
  10. }
  11. Response Sample:

  12. Example (GET api.dataforseo.com/v2/kwrd_finder_suggest_tasks_get/$task_id)
  13. https://api.dataforseo.com/v2/kwrd_finder_suggest_tasks_get/165
  14. {
  15. "status": "ok",
  16. "results_time": "0.0504 sec.",
  17. "results_count": 1,
  18. "keyword": "ice tea",
  19. "task_id": 380,
  20. "parameters": {
  21. "symbols": [
  22. "a",
  23. "b",
  24. "c"
  25. ]
  26. },
  27. "total_count": 78,
  28. "suggestions": [
  29. {
  30. "number": 1,
  31. "relevance": 602,
  32. "search_query": "ice tea",
  33. "suggestion": "iced tea maker"
  34. },
  35. {
  36. "number": 2,
  37. "relevance": 600,
  38. "search_query": "ice tea",
  39. "suggestion": "ice tea movies"
  40. },
  41. {
  42. "number": 3,
  43. "relevance": 566,
  44. "search_query": "ice tea",
  45. "suggestion": "ice team"
  46. },
  47. .
  48. .
  49. .
  50. {
  51. "number": 20,
  52. "relevance": 603,
  53. "search_query": "ice tea a",
  54. "suggestion": "ice tea actor"
  55. },
  56. {
  57. "number": 21,
  58. "relevance": 601,
  59. "search_query": "ice tea a",
  60. "suggestion": "ice tea and lemonade"
  61. },
  62. {
  63. "number": 22,
  64. "relevance": 600,
  65. "search_query": "ice tea a",
  66. "suggestion": "ice tea and vodka"
  67. },
  68. .
  69. .
  70. .
  71. {
  72. "number": 39,
  73. "relevance": 650,
  74. "search_query": "ice tea b",
  75. "suggestion": "iced tea brands"
  76. },
  77. {
  78. "number": 40,
  79. "relevance": 601,
  80. "search_query": "ice tea b",
  81. "suggestion": "ice tea baby"
  82. },
  83. {
  84. "number": 41,
  85. "relevance": 600,
  86. "search_query": "ice tea b",
  87. "suggestion": "ice tea beer"
  88. },
  89. .
  90. .
  91. .
  92. ]
  93. }
  1. Request Sample:

  2. Example (POST https://api.dataforseo.com/v2/kwrd_finder_similar_tasks_post)
  3. {
  4. "data": {
  5. "11913049": {
  6. "keyword": "ice tea"
  7. }
  8. }
  9. }
  10. Response Sample:

  11. {
  12. "data":{
  13. "11913049": {
  14. "task_id":7574,
  15. "limit":2,
  16. "offset":0,
  17. "orderby":"search_volume,desc",
  18. "filters":[
  19. ["search_volume", ">", 500]
  20. ]
  21. }
  22. }
  23. }
  24. {
  25. "status": "ok",
  26. "results_time": "0.3420 sec.",
  27. "results_count": 1,
  28. "results": {
  29. "11913049": {
  30. "post_id": 11913049,
  31. "task_id": 7574,
  32. "meta": {
  33. "keyword": "ice tea",
  34. "limit": 2,
  35. "offset": 0,
  36. "orderby": "search_volume,desc",
  37. "total_count": 17
  38. },
  39. "similar": [
  40. {
  41. "key": "ice tea",
  42. "search_volume": 165000,
  43. "competition": 0.0609908252954483,
  44. "cpc": 8.897265,
  45. "history": [
  46. {
  47. "month": 6,
  48. "year": 2017,
  49. "search_volume": 165000
  50. },
  51. {
  52. "month": 5,
  53. "year": 2017,
  54. "search_volume": 110000
  55. },
  56. {
  57. "month": 4,
  58. "year": 2017,
  59. "search_volume": 110000
  60. },
  61. {
  62. "month": 3,
  63. "year": 2017,
  64. "search_volume": 135000
  65. },
  66. {
  67. "month": 2,
  68. "year": 2017,
  69. "search_volume": 135000
  70. },
  71. {
  72. "month": 1,
  73. "year": 2017,
  74. "search_volume": 165000
  75. },
  76. {
  77. "month": 12,
  78. "year": 2016,
  79. "search_volume": 135000
  80. },
  81. {
  82. "month": 11,
  83. "year": 2016,
  84. "search_volume": 135000
  85. },
  86. {
  87. "month": 10,
  88. "year": 2016,
  89. "search_volume": 301000
  90. },
  91. {
  92. "month": 9,
  93. "year": 2016,
  94. "search_volume": 368000
  95. },
  96. {
  97. "month": 8,
  98. "year": 2016,
  99. "search_volume": 110000
  100. },
  101. {
  102. "month": 7,
  103. "year": 2016,
  104. "search_volume": 165000
  105. }
  106. ]
  107. },
  108. {
  109. "key": "ice tea net worth",
  110. "search_volume": 14800,
  111. "competition": 0.01215693261474371,
  112. "cpc": 0.015515,
  113. "history": [
  114. {
  115. "month": 7,
  116. "year": 2017,
  117. "search_volume": 14800
  118. },
  119. {
  120. "month": 6,
  121. "year": 2017,
  122. "search_volume": 12100
  123. },
  124. {
  125. "month": 5,
  126. "year": 2017,
  127. "search_volume": 9900
  128. },
  129. {
  130. "month": 4,
  131. "year": 2017,
  132. "search_volume": 9900
  133. },
  134. {
  135. "month": 3,
  136. "year": 2017,
  137. "search_volume": 14800
  138. },
  139. {
  140. "month": 2,
  141. "year": 2017,
  142. "search_volume": 14800
  143. },
  144. {
  145. "month": 1,
  146. "year": 2017,
  147. "search_volume": 14800
  148. },
  149. {
  150. "month": 12,
  151. "year": 2016,
  152. "search_volume": 12100
  153. },
  154. {
  155. "month": 11,
  156. "year": 2016,
  157. "search_volume": 12100
  158. },
  159. {
  160. "month": 10,
  161. "year": 2016,
  162. "search_volume": 27100
  163. },
  164. {
  165. "month": 9,
  166. "year": 2016,
  167. "search_volume": 33100
  168. },
  169. {
  170. "month": 8,
  171. "year": 2016,
  172. "search_volume": 12100
  173. }
  174. ]
  175. }
  176. ]
  177. }
  178. }
  179. }
  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. }
  8. }
  9. }
  10. Response Sample:

  11. Example (POST https://api.dataforseo.com/v2/kwrd_finder_ranked_tasks_get
  12. {
  13. "data":{
  14. "11913049": {
  15. "task_id":7578,
  16. "limit":2,
  17. "offset":0,
  18. "orderby":"search_volume,desc",
  19. "filters":[
  20. ["search_volume", ">", 0],
  21. ["position", "in", [1, 5, 10]]
  22. ]
  23. }
  24. }
  25. }
  26. {
  27. "status": "ok",
  28. "results_time": "0.6275 sec.",
  29. "results_count": 1,
  30. "results": {
  31. "11913049": {
  32. "post_id": 11913049,
  33. "task_id": 7578,
  34. "meta": {
  35. "domain": "dataforseo.com",
  36. "limit": 2,
  37. "offset": 0,
  38. "orderby": "search_volume,desc",
  39. "actual_metric": {
  40. "organic_count": 22,
  41. "paid_count": 0,
  42. "etv": 141,
  43. "pos1": 11,
  44. "pos2_3": 0,
  45. "pos4_10": 11,
  46. "pos11_20": 0,
  47. "pos21_30": 0,
  48. "pos31_40": 0,
  49. "pos41_50": 0,
  50. "pos51_60": 0,
  51. "pos61_70": 0,
  52. "pos71_80": 0,
  53. "pos81_90": 0,
  54. "pos91_100": 0,
  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. "ranked": [
  63. {
  64. "key": "serp rank checker",
  65. "exact_domain": "dataforseo.com",
  66. "position": 10,
  67. "url": "https://dataforseo.com/apis/serp-api",
  68. "relative_url": "/apis/serp-api",
  69. "results_count": 87700,
  70. "etv": 14,
  71. "traffic_cost": 111.53086,
  72. "competition": 0.08241758495569229,
  73. "cpc": 7.96649,
  74. "date": "2017-11-19T00:00:00+00:00",
  75. "extra": "people_also_ask",
  76. "search_volume": 1300,
  77. "spell": "",
  78. "title": "SERP rank position checker API ⓴⓱ SERP analysis and keyword ...",
  79. "snippet": "DataForSEO ➤➤➤ SERP API ➤➤➤ Google SERP Rankings Checker API ✓✓✓ Great Speed, Clear Stats, Simple Pricing. Try for free now!"
  80. },
  81. {
  82. "key": "serp rankings checker",
  83. "exact_domain": "dataforseo.com",
  84. "position": 10,
  85. "url": "https://dataforseo.com/apis/serp-api",
  86. "relative_url": "/apis/serp-api",
  87. "results_count": 312000,
  88. "etv": 10,
  89. "traffic_cost": 75.07534,
  90. "competition": 0.11318771541118622,
  91. "cpc": 7.507534,
  92. "date": "2017-10-26T00:00:00+00:00",
  93. "extra": "",
  94. "search_volume": 1000,
  95. "spell": "",
  96. "title": "SERP rank position checker API ⓴⓱ SERP analysis and keyword ...",
  97. "snippet": "DataForSEO ➤➤➤ SERP API ➤➤➤ Google SERP Rankings Checker API ✓✓✓ Great Speed, Clear Stats, Simple Pricing. Try for free now!"
  98. }
  99. ]
  100. }
  101. }
  102. }
		
  1. Request Sample:

  2. {
  3. "data":{
  4. "11913049": {
  5. "domain": "dataforseo.com",
  6. "country_code": "US",
  7. "language":"en",
  8. "limit": 25
  9. }
  10. }
  11. }
  12. Response Sample:

  13. {
  14. "status": "ok",
  15. "results_time": "0.6927 sec.",
  16. "results_count": 1,
  17. "results": {
  18. "11913049": {
  19. "post_id": "11913049",
  20. "task_id": 17769,
  21. "meta": {
  22. "domain": "dataforseo.com",
  23. "limit": 25,
  24. "offset": 0,
  25. "orderby": "organic_count,desc",
  26. "total_count": 30
  27. },
  28. "relevant_pages": [
  29. {
  30. "page_address": "dataforseo.com/apis/rank-tracker-api",
  31. "country_code": "US",
  32. "language": "en",
  33. "organic_count": 492,
  34. "paid_count": 0,
  35. "etv": 197,
  36. "pos1": 10,
  37. "pos2_3": 10,
  38. "pos4_10": 8,
  39. "pos11_20": 33,
  40. "pos21_30": 64,
  41. "pos31_40": 69,
  42. "pos41_50": 51,
  43. "pos51_60": 64,
  44. "pos61_70": 40,
  45. "pos71_80": 51,
  46. "pos81_90": 55,
  47. "pos91_100": 37,
  48. "paid_pos1": 0,
  49. "paid_pos2_3": 0,
  50. "paid_pos4_10": 0,
  51. "paid_pos11_20": 0,
  52. "paid_pos21_100": 0
  53. },
  54. {
  55. "page_address": "dataforseo.com/apis/keyword-data-api",
  56. "country_code": "US",
  57. "language": "en",
  58. "organic_count": 290,
  59. "paid_count": 0,
  60. "etv": 212,
  61. "pos1": 2,
  62. "pos2_3": 7,
  63. "pos4_10": 23,
  64. "pos11_20": 14,
  65. "pos21_30": 16,
  66. "pos31_40": 21,
  67. "pos41_50": 21,
  68. "pos51_60": 29,
  69. "pos61_70": 37,
  70. "pos71_80": 42,
  71. "pos81_90": 47,
  72. "pos91_100": 31,
  73. "paid_pos1": 0,
  74. "paid_pos2_3": 0,
  75. "paid_pos4_10": 0,
  76. "paid_pos11_20": 0,
  77. "paid_pos21_100": 0
  78. },
  79. {
  80. "page_address": "dataforseo.com/apis/serp-api",
  81. "country_code": "US",
  82. "language": "en",
  83. "organic_count": 195,
  84. "paid_count": 0,
  85. "etv": 16,
  86. "pos1": 16,
  87. "pos2_3": 4,
  88. "pos4_10": 12,
  89. "pos11_20": 12,
  90. "pos21_30": 21,
  91. "pos31_40": 25,
  92. "pos41_50": 26,
  93. "pos51_60": 24,
  94. "pos61_70": 11,
  95. "pos71_80": 22,
  96. "pos81_90": 12,
  97. "pos91_100": 10,
  98. "paid_pos1": 0,
  99. "paid_pos2_3": 0,
  100. "paid_pos4_10": 0,
  101. "paid_pos11_20": 0,
  102. "paid_pos21_100": 0
  103. },
  104. {
  105. "page_address": "dataforseo.com/combating-inaccurate-search-volume-in-google-adwords.html",
  106. "country_code": "US",
  107. "language": "en",
  108. "organic_count": 60,
  109. "paid_count": 0,
  110. "etv": 2,
  111. "pos1": 0,
  112. "pos2_3": 0,
  113. "pos4_10": 0,
  114. "pos11_20": 1,
  115. "pos21_30": 7,
  116. "pos31_40": 11,
  117. "pos41_50": 8,
  118. "pos51_60": 12,
  119. "pos61_70": 5,
  120. "pos71_80": 6,
  121. "pos81_90": 4,
  122. "pos91_100": 6,
  123. "paid_pos1": 0,
  124. "paid_pos2_3": 0,
  125. "paid_pos4_10": 0,
  126. "paid_pos11_20": 0,
  127. "paid_pos21_100": 0
  128. },
  129. {
  130. "page_address": "docs.dataforseo.com/",
  131. "country_code": "US",
  132. "language": "en",
  133. "organic_count": 49,
  134. "paid_count": 0,
  135. "etv": 2,
  136. "pos1": 0,
  137. "pos2_3": 0,
  138. "pos4_10": 2,
  139. "pos11_20": 1,
  140. "pos21_30": 5,
  141. "pos31_40": 8,
  142. "pos41_50": 5,
  143. "pos51_60": 4,
  144. "pos61_70": 6,
  145. "pos71_80": 9,
  146. "pos81_90": 4,
  147. "pos91_100": 5,
  148. "paid_pos1": 0,
  149. "paid_pos2_3": 0,
  150. "paid_pos4_10": 0,
  151. "paid_pos11_20": 0,
  152. "paid_pos21_100": 0
  153. },
  154. {
  155. "page_address": "dataforseo.com/",
  156. "country_code": "US",
  157. "language": "en",
  158. "organic_count": 40,
  159. "paid_count": 0,
  160. "etv": 10,
  161. "pos1": 1,
  162. "pos2_3": 1,
  163. "pos4_10": 5,
  164. "pos11_20": 4,
  165. "pos21_30": 2,
  166. "pos31_40": 3,
  167. "pos41_50": 4,
  168. "pos51_60": 1,
  169. "pos61_70": 4,
  170. "pos71_80": 5,
  171. "pos81_90": 3,
  172. "pos91_100": 7,
  173. "paid_pos1": 0,
  174. "paid_pos2_3": 0,
  175. "paid_pos4_10": 0,
  176. "paid_pos11_20": 0,
  177. "paid_pos21_100": 0
  178. },
  179. {
  180. "page_address": "dataforseo.com/solutions/scraping-services",
  181. "country_code": "US",
  182. "language": "en",
  183. "organic_count": 32,
  184. "paid_count": 0,
  185. "etv": 0,
  186. "pos1": 0,
  187. "pos2_3": 0,
  188. "pos4_10": 2,
  189. "pos11_20": 5,
  190. "pos21_30": 7,
  191. "pos31_40": 2,
  192. "pos41_50": 5,
  193. "pos51_60": 4,
  194. "pos61_70": 3,
  195. "pos71_80": 0,
  196. "pos81_90": 2,
  197. "pos91_100": 2,
  198. "paid_pos1": 0,
  199. "paid_pos2_3": 0,
  200. "paid_pos4_10": 0,
  201. "paid_pos11_20": 0,
  202. "paid_pos21_100": 0
  203. },
  204. {
  205. "page_address": "dataforseo.com/pricing",
  206. "country_code": "US",
  207. "language": "en",
  208. "organic_count": 22,
  209. "paid_count": 0,
  210. "etv": 2,
  211. "pos1": 0,
  212. "pos2_3": 0,
  213. "pos4_10": 0,
  214. "pos11_20": 4,
  215. "pos21_30": 5,
  216. "pos31_40": 1,
  217. "pos41_50": 4,
  218. "pos51_60": 3,
  219. "pos61_70": 2,
  220. "pos71_80": 2,
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  12. Response Sample:

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