Data API / DataForSEO / Keywords Data

Setting Live ‘DataForSEO Trends Subregion Interests’ Tasks

Where interest in a keyword is concentrated, broken down by subregion within location_code. Wrapped in DataForSEO's envelope: data in tasks[0].result, outcome in tasks[0].status_code - a rejected request still returns HTTP 200. For who rather than where, post_dataforseo_keywords_trends_demography_live.

Parameters

No path, query, or header parameters.

Request body

keywordsstring[]Required
keywords required field the maximum number of keywords you can specify: 5 avoid symbols and special characters (e.g., UTF symbols, emojis); specifying non-Latin characters, you’ll get data for the countries where they are used learn more about rules and limitations of keyword and keywords fields in DataForSEO APIs in this Help Center article
location_namestringOptional
full name of search engine location optional field if you don’t use this field, you will recieve global results if you use this field, you don’t need to specify location_code you can receive the list of available locations of the search engine with their location_name by making a separate request to https://api.dataforseo.com/v3/keywords_data/dataforseo_trends/locations note that the data will be provided for the country the specified location_name belongs to; example: United Kingdom
location_codeintegerOptional
search engine location code optional field if you don’t use this field, you will recieve global results if you use this field, you don’t need to specify location_name you can receive the list of available locations of the search engines with their location_code by making a separate request to https://api.dataforseo.com/v3/keywords_data/dataforseo_trends/locations note that the data will be provided for the country the specified location_code belongs to; example: 2840
typestringOptional
dataforseo trends type optional field if you don’t specify this field, the web type will be used by default possible values: web, news, ecommerce
date_fromstringOptional
starting date of the time range optional field if you don’t specify this field, the current day and month of the preceding year will be used by default minimal value for the web type: 2004-01-01 minimal value for other types: 2008-01-01 date format: "yyyy-mm-dd" example: "2019-01-15"
date_tostringOptional
ending date of the time range optional field if you don’t specify this field, the today’s date will be used by default date format: "yyyy-mm-dd" example: "2019-01-15"
time_rangestringOptional
preset time ranges optional field if you specify date_from or date_to parameters, this field will be ignored when setting a task possible values for all type parameters: past_4_hours, past_day, past_7_days, past_30_days, past_90_days, past_12_months, past_5_years
tagstringOptional
user-defined task identifier optional field the character limit is 255 you can use this parameter to identify the task and match it with the result you will find the specified tag value in the data object of the response

Example request

curl -X POST "https://openapi.felo.ai/v1/beta/dataforseo/keywords_data/dataforseo_trends/subregion_interests/live" \
  -H "Authorization: Bearer $FELO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "keywords": [
    "<string>"
  ],
  "location_name": "<string>",
  "location_code": 0,
  "type": "<string>",
  "date_from": "<string>",
  "date_to": "<string>",
  "time_range": "<string>",
  "tag": "<string>"
}'

Response

Response fields

versionstringOptional
the current version of the API
status_codeintegerOptional
general status code you can find the full list of the response codes here Note: we strongly recommend designing a necessary system for handling related exceptional or error conditions
status_messagestringOptional
general informational message you can find the full list of general informational messages here
timestringOptional
execution time, seconds
costnumberOptional
total tasks cost, USD
tasks_countintegerOptional
the number of tasks in the tasks array
tasks_errorintegerOptional
the number of tasks in the tasks array returned with an error
tasksstring[]Optional
array of tasks
idstringOptional
task identifier unique task identifier in our system in the UUID format
status_codeintegerOptional
status code of the task generated by DataForSEO; can be within the following range: 10000-60000 you can find the full list of response codes here
status_messagestringOptional
informational message of the task you can find the full list of general informational messages here
timestringOptional
execution time, seconds
costnumberOptional
cost of the task, USD
result_countintegerOptional
number of elements in the result array
pathstring[]Optional
URL path
dataobjectOptional
contains the same parameters that you specified in the POST request
resultstring[]Optional
array of results
keywordsstring[]Optional
keywords in a POST array
typestring[]Optional
search engine type in a POST array
location_codeintegerOptional
location code in a POST array if there is no data, then the value is null
language_codestringOptional
language code in a POST array if there is no data, then the value is null
datetimestringOptional
date and time when the result was received in the UTC format: “yyyy-mm-dd hh-mm-ss +00:00” example: 2019-11-15 12:57:46 +00:00
items_countintegerOptional
the number of results returned in the items array
itemsstring[]Optional
contains keyword popularity and related data
positionintegerOptional
the alignment of the element can take the following values: 1, 2, 3, 4, etc.
typestringOptional
type of element = ‘subregion_interests’
keywordsstring[]Optional
relevant keywords the data included in the interests and interests_comparison is based on the keywords listed in this array
interestsstring[]Optional
subregional keyword popuarity data for each specified term
keywordstringOptional
relevant keyword the data included in the values element is based on this keyword
valuesstring[]Optional
contains data on relative keyword popularity by country or region
geo_idstringOptional
location identifier you can use this field for matching obtained results with location parameters specified in the request see the full list of available locations with their geo_id here or by making a separate request to https://api.dataforseo.com/v3/keywords_data/dataforseo_trends/locations example: US-NY
geo_namestringOptional
location name you can use this field for matching obtained results with location parameters specified in the request see the full list of available locations with their geo_name here or by making a separate request to https://api.dataforseo.com/v3/keywords_data/dataforseo_trends/locations example: Andorra
valueintegerOptional
relative keyword popularity rate in a given location represents location-specific keyword popularity rate over the specified time range; using this value you can understand how popular a keyword is in one location compared to another location; calculation: we determine the highest popularity value for the relevant keyword across all locations, and then express all other values as a percentage of that highest value (100); a value of 100 is the highest popularity for the term a value of 50 means that the term is half as popular a value of 0 means there was not enough data for this term
interests_comparisonobjectOptional
comparison of data on subregional keyword popularity for the specified parameters if you specified a single keyword, the value will be null
itemsstring[]Optional
keyword popularity values per location values in this array represent percentages relative to the maximum value within each region
geo_idstringOptional
location identifier you can use this field for matching obtained results with location parameters specified in the request see the full list of available locations with their geo_id here or by making a separate request to https://api.dataforseo.com/v3/keywords_data/dataforseo_trends/locations example: US-NY
geo_namestringOptional
location name you can use this field for matching obtained results with location parameters specified in the request see the full list of available locations with their geo_name here or by making a separate request to https://api.dataforseo.com/v3/keywords_data/dataforseo_trends/locations example: Andorra
valuesstring[]Optional
keyword popularity rates within a given location represents location-specific keyword popularity rate over the specified time range; using these values, you can understand which of the specified keywords is more popular in the related location; the first value in the array is provided for the first term from the keywords array, the second value is provided for the second keyword, and so on; calculation: we determine the highest popularity value across all specified keywords within a given location, and then express the popularity values of each keyword as a percentage of the highest value (100); a value of 100 is the peak popularity for the term a value of 50 means that the term is half as popular a value of 0 means there was not enough data for this term
absolute_itemsstring[]Optional
keyword popularity rates across all locations values in this array represent percentages relative to the maximum value across all locations
geo_idstringOptional
location identifier you can use this field for matching obtained results with location parameters specified in the request see the full list of available locations with their geo_id here or by making a separate request to https://api.dataforseo.com/v3/keywords_data/dataforseo_trends/locations example: US-NY
geo_namestringOptional
location name you can use this field for matching obtained results with location parameters specified in the request see the full list of available locations with their geo_name here or by making a separate request to https://api.dataforseo.com/v3/keywords_data/dataforseo_trends/locations example: Andorra
valuesstring[]Optional
keyword popularity rates relative to all locations represents location-specific keyword popularity rate over the specified time range; using these values, you can understand how popular each keyword is compared to all other keywords across all locations; the first value in the array is provided for the first term from the keywords array, the second value is provided for the second keyword, and so on; calculation: we determine the highest popularity value across all keywords across all locations, and then express all other values as a percentage of that highest value (100); a value of 100 is the peak popularity for the term a value of 50 means that the term is half as popular a value of 0 means there was not enough data for this term