Setting Live ‘DataForSEO Trends Merged Data’ Tasks
This endpoint will provide you with the keyword popularity data from DataForSEO Trends.
Documentation Index
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Authorizations
Bearer authentication header of the form Bearer <token>, where <token> is your auth token.
Body
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
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
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
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
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"
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"
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
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
Response
Successful response
the current version of the API
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
general informational message you can find the full list of general informational messages here
execution time, seconds
total tasks cost, USD
the number of tasks in the tasks array
the number of tasks in the tasks array returned with an error
array of tasks
task identifier unique task identifier in our system in the UUID format
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
informational message of the task you can find the full list of general informational messages here
execution time, seconds
cost of the task, USD
number of elements in the result array
URL path
contains the same parameters that you specified in the POST request
array of results
keywords in a POST array
search engine type in a POST array
location code in a POST array if there is no data, then the value is null
language code in a POST array if there is no data, then the value is null
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
the number of results returned in the items array
contains keyword popularity and related data
the alignment of the element can take the following values: 1, 2, 3, 4, etc.
type of element = ‘demography’
relevant keywords the data included in the demography and demography_comparison is based on the keywords listed in this array
DataForSEO Trends data for the specified parameters
start date of the corresponding time range in the UTC format: “yyyy-mm-dd”
end date of the corresponding time range in the UTC format: “yyyy-mm-dd”
a point in time in the Unix time format
relative keyword popularity rate at a specific timestamp if you specify more than one keyword, the values will be averaged to the highest value across all specified keywords 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
keyword popularity values averaged over the whole time range
subregional keyword popuarity data for each specified term
relevant keyword the data included in the values element is based on this keyword
contains data on relative keyword popularity by country or region
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
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
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
comparison of data on subregional keyword popularity for the specified parameters if you specified a single keyword, the value will be null
keyword popularity values per location values in this array represent percentages relative to the maximum value within each region
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
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
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
keyword popularity rates across all locations values in this array represent percentages relative to the maximum value across all locations
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
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
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
demographic breakdown of keyword popularity data per each specified term conains keyword popularity data by age and gender
distribution of keyword popularity by age
relevant keyword for which demographic data is provided
contains age range and corresponding keyword popularity values
age range can take the following values: 18-24, 25-34, 35-44, 45-54, 55-64
keyword popularity rate within the specified age range using this value you can understand how popular a keyword is within each age range; calculation: we determine the highest popularity value for the relevant keyword across all age groups, 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 0 means there was not enough data for this term
distribution of keyword popularity by gender
relevant keyword for which demographic data is provided
contains gender and corresponding keyword popularity values
gender category can take the following values: female, male
keyword popularity rate within the specified gender category using this value you can understand how popular a keyword is within each gender category; calculation: we determine the highest popularity value for the relevant keyword across all gender categories, 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 0 means there was not enough data for this term
comparison of demographic data on keyword popularity for the specified parameters conains keyword popularity data by age and gender if you specified a single keyword, the value will be null
comparison of keyword popularity data by age
indicates age range and contains corresponding keyword popularity values contains comparison of keyword popularity for the specified terms within the specified age range variable can take the following values: 18-24, 18-24, 25-34, 35-44, 45-54, 55-64; using the values from this array, you can understand which of the specified keywords is more popular within the related age range; 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 total popularity value of all keywords within each age range, and then express all other values as a percentage of the total value (100); a value of 100 is the highest popularity for the term a value of 0 means there was not enough data for this term
comparison of keyword popularity data by gender
indicates gender category and contains corresponding keyword popularity values contains comparison of keyword popularity for the specified terms within the specified gender category; using the values from this array, you can understand which of the specified keywords is more popular within the related gender category; 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 total popularity value of all keywords within each gender category, and then express all other values as a percentage of the total value (100); a value of 100 is the highest popularity for the term a value of 0 means there was not enough data for this term
indicates gender category and contains corresponding keyword popularity values contains comparison of keyword popularity for the specified terms within the specified gender category; using the values from this array, you can understand which of the specified keywords is more popular within the related gender category; 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 total popularity value of all keywords within each gender category, and then express all other values as a percentage of the total value (100); a value of 100 is the highest popularity for the term a value of 0 means there was not enough data for this term