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POST
https://api.aisa.one/apis/v1
/
dataforseo
/
keywords_data
/
dataforseo_trends
/
demography
/
live
Setting Live ‘DataForSEO Trends Demography’ Tasks
curl --request POST \
  --url https://api.aisa.one/apis/v1/dataforseo/keywords_data/dataforseo_trends/demography/live \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "keywords": [
    "<string>"
  ],
  "location_name": "<string>",
  "location_code": 123,
  "type": "<string>",
  "date_from": "<string>",
  "date_to": "<string>",
  "time_range": "<string>",
  "tag": "<string>"
}
'
{
  "version": "<string>",
  "status_code": 123,
  "status_message": "<string>",
  "time": "<string>",
  "cost": 123,
  "tasks_count": 123,
  "tasks_error": 123,
  "tasks": [
    "<string>"
  ],
  "tasks.id": "<string>",
  "tasks.status_code": 123,
  "tasks.status_message": "<string>",
  "tasks.time": "<string>",
  "tasks.cost": 123,
  "tasks.result_count": 123,
  "tasks.path": [
    "<string>"
  ],
  "tasks.data": {},
  "tasks.result": [
    "<string>"
  ],
  "tasks.result.keywords": [
    "<string>"
  ],
  "tasks.result.type": [
    "<string>"
  ],
  "tasks.result.location_code": 123,
  "tasks.result.language_code": "<string>",
  "tasks.result.datetime": "<string>",
  "tasks.result.items_count": 123,
  "tasks.result.items": [
    "<string>"
  ],
  "tasks.result.items.position": 123,
  "tasks.result.items.type": "<string>",
  "tasks.result.items.keywords": [
    "<string>"
  ],
  "tasks.result.items.demography": {},
  "tasks.result.items.demography.age": [
    "<string>"
  ],
  "tasks.result.items.demography.age.keyword": "<string>",
  "tasks.result.items.demography.age.values": [
    "<string>"
  ],
  "tasks.result.items.demography.age.values.type": "<string>",
  "tasks.result.items.demography.age.values.value": 123,
  "tasks.result.items.demography.gender": [
    "<string>"
  ],
  "tasks.result.items.demography.gender.keyword": "<string>",
  "tasks.result.items.demography.gender.values": [
    "<string>"
  ],
  "tasks.result.items.demography.gender.values.type": "<string>",
  "tasks.result.items.demography.gender.values.value": 123,
  "tasks.result.items.demography_comparison": {},
  "tasks.result.items.demography_comparison.age": {},
  "tasks.result.items.demography_comparison.age.$18-24": [
    "<string>"
  ],
  "tasks.result.items.demography_comparison.gender": {},
  "tasks.result.items.demography_comparison.gender.female": [
    "<string>"
  ],
  "tasks.result.items.demography_comparison.gender.male": [
    "<string>"
  ]
}

Documentation Index

Fetch the complete documentation index at: https://aisa.one/docs/llms.txt

Use this file to discover all available pages before exploring further.

Authorizations

​
Authorization
string
header
required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Body

application/json
​
keywords
string[]
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_name
string

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_code
integer

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

​
type
string

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_from
string

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_to
string

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_range
string

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

​
tag
string

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

​
version
string

the current version of the API

​
status_code
integer

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_message
string

general informational message you can find the full list of general informational messages here

​
time
string

execution time, seconds

​
cost
number

total tasks cost, USD

​
tasks_count
integer

the number of tasks in the tasks array

​
tasks_error
integer

the number of tasks in the tasks array returned with an error

​
tasks
string[]

array of tasks

​
tasks.id
string

task identifier unique task identifier in our system in the UUID format

​
tasks.status_code
integer

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

​
tasks.status_message
string

informational message of the task you can find the full list of general informational messages here

​
tasks.time
string

execution time, seconds

​
tasks.cost
number

cost of the task, USD

​
tasks.result_count
integer

number of elements in the result array

​
tasks.path
string[]

URL path

​
tasks.data
object

contains the same parameters that you specified in the POST request

​
tasks.result
string[]

array of results

​
tasks.result.keywords
string[]

keywords in a POST array

​
tasks.result.type
string[]

search engine type in a POST array

​
tasks.result.location_code
integer

location code in a POST array if there is no data, then the value is null

​
tasks.result.language_code
string

language code in a POST array if there is no data, then the value is null

​
tasks.result.datetime
string

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

​
tasks.result.items_count
integer

the number of results returned in the items array

​
tasks.result.items
string[]

contains keyword popularity and related data

​
tasks.result.items.position
integer

the alignment of the element can take the following values: 1, 2, 3, 4, etc.

​
tasks.result.items.type
string

type of element = ‘demography’

​
tasks.result.items.keywords
string[]

relevant keywords the data included in the demography and demography_comparison is based on the keywords listed in this array

​
tasks.result.items.demography
object

demographic breakdown of keyword popularity data per each specified term conains keyword popularity data by age and gender

​
tasks.result.items.demography.age
string[]

distribution of keyword popularity by age

​
tasks.result.items.demography.age.keyword
string

relevant keyword for which demographic data is provided

​
tasks.result.items.demography.age.values
string[]

contains age range and corresponding keyword popularity values

​
tasks.result.items.demography.age.values.type
string

age range can take the following values: 18-24, 25-34, 35-44, 45-54, 55-64

​
tasks.result.items.demography.age.values.value
integer

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

​
tasks.result.items.demography.gender
string[]

distribution of keyword popularity by gender

​
tasks.result.items.demography.gender.keyword
string

relevant keyword for which demographic data is provided

​
tasks.result.items.demography.gender.values
string[]

contains gender and corresponding keyword popularity values

​
tasks.result.items.demography.gender.values.type
string

gender category can take the following values: female, male

​
tasks.result.items.demography.gender.values.value
integer

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

​
tasks.result.items.demography_comparison
object

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

​
tasks.result.items.demography_comparison.age
object

comparison of keyword popularity data by age

​
tasks.result.items.demography_comparison.age.$18-24
string[]

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, 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

​
tasks.result.items.demography_comparison.gender
object

comparison of keyword popularity data by gender

​
tasks.result.items.demography_comparison.gender.female
string[]

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

​
tasks.result.items.demography_comparison.gender.male
string[]

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