Data API / DataForSEO / Content Analysis
Content Analysis – Category Trends API
The same per-period metrics as post_dataforseo_content_phrase_trends_live, but for an entire product category instead of one keyword. Takes category_code from get_dataforseo_content_categories, with date_from, date_to and date_group setting range and granularity, and returns a date plus total_count, rank, top_domains (each domain and count), sentiment_connotations (anger, happiness, love, sadness, share, fun), connotation_types (positive, negative, neutral), text_categories, page_categories, page_types, countries and languages per period. Use it to see how a market moves rather than a single phrase; swap to the phrase endpoint when you already know the exact wording you care about.
Параметры
Параметров пути, запроса и заголовков нет.
Тело запроса
category_codeintegerОбязательныйtarget category code required field to obtain a full list of available categories, refer to the Categories endpoint
page_typestring[]Необязательныйtarget page types optional field use this parameter to filter the dataset by page types possible values: "ecommerce", "news", "blogs", "message-boards", "organization"
search_modestringНеобязательныйresults grouping type optional field possible grouping types: as_is – returns data on all citations for the target category_code one_per_domain – returns data on one citation of the category_code per domain default value: as_is
internal_list_limitintegerНеобязательныйmaximum number of elements within internal arrays optional field you can use this field to limit the number of elements within the following arrays: top_domains text_categories page_categories countries languages default value: 1 maximum value: 20
date_fromstringОбязательныйstarting date of the time range required field minimum value: 2022-10-31 date format: "yyyy-mm-dd" example: "2019-01-15"
date_tostringНеобязательныйending date of the time range optional field if you don’t specify this field, today’s date will be used by default date format: "yyyy-mm-dd" example: "2019-01-15"
date_groupstringНеобязательныйtime range which will be used to group the results optional field default value: month possible values: day, week, month
initial_dataset_filtersarrayНеобязательныйinitial dataset filtering parameters optional field initial filtering parameters that apply to fields in the Search endpoint; you can add several filters at once (8 filters maximum) you should set a logical operator and, or between the conditions the following operators are supported: regex, not_regex, , , >, >=, =, , in, not_in, like,not_like, has, has_not, match, not_match you can use the % operator with like and not_like to match any string of zero or more characters example: ["domain","", "logitech.com"] [["domain","","logitech.com"],"and",["content_info.connotation_types.negative",">",1000]] [["domain","","logitech.com"]], "and", [["content_info.connotation_types.negative",">",1000], "or", ["content_info.text_category","has",10994]]] for more information about filters, please refer to Content Analysis API – Filters learn more about the initial dataset filters in this help center article.
rank_scalestringНеобязательныйdefines the scale used for calculating and displaying the rank values optional field you can use this parameter to choose whether rank values are presented on a 0–100 or 0–1000 scale possible values: one_hundred — rank values are displayed on a 0–100 scale one_thousand — rank values are displayed on a 0–1000 scale default value: one_thousand learn more about how this parameter works in this Help Center article
tagstringНеобязательныйuser-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
Пример запроса
curl -X POST "https://openapi.felo.ai/v1/beta/dataforseo/content_analysis/category_trends/live" \
-H "Authorization: Bearer $FELO_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"category_code": 0,
"date_from": "<string>",
"page_type": [
"<string>"
],
"search_mode": "<string>",
"internal_list_limit": 0,
"date_to": "<string>",
"date_group": "<string>",
"initial_dataset_filters": "<string>"
}'Ответ
Поля ответа
versionstringНеобязательныйthe current version of the API
status_codeintegerНеобязательныйgeneral 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_messagestringНеобязательныйgeneral informational message you can find the full list of general informational messages here
timestringНеобязательныйexecution time, seconds
costnumberНеобязательныйtotal tasks cost, USD
tasks_countintegerНеобязательныйthe number of tasks in the tasks array
tasks_errorintegerНеобязательныйthe number of tasks in the tasks array returned with an error
tasksstring[]Необязательныйarray of tasks
idstringНеобязательныйtask identifier unique task identifier in our system in the UUID format
status_codeintegerНеобязательныйstatus code of the task generated by DataForSEO; can be within the following range: 10000-60000 you can find the full list of the response codes here
status_messagestringНеобязательныйinformational message of the task you can find the full list of general informational messages here
timestringНеобязательныйexecution time, seconds
costnumberНеобязательныйcost of the task, USD
result_countintegerНеобязательныйnumber of elements in the result array
pathstring[]НеобязательныйURL path
dataobjectНеобязательныйcontains the same parameters that you specified in the POST request
resultstring[]Необязательныйarray of results
typestringНеобязательныйtype of element = ‘content_analysis_trends’
datestringНеобязательныйdate for which the data is provided
total_countintegerНеобязательныйtotal number of results in our database relevant to your request
rankintegerНеобязательныйrank of all URLs citing the keyword normalized sum of ranks of all URLs citing the target keyword for the given date
top_domainsstring[]Необязательныйtop domains citing the target keyword contains objects with top domains citing the target category and citation count per each domain
sentiment_connotationsobjectНеобязательныйsentiment connotations contains sentiments (emotional reactions) related to the target category citation and the number of citations per each sentiment possible connotations: "anger", "fear", "happiness", "love", "sadness", "share", "neutral", "fun"
connotation_typesobjectНеобязательныйconnotation types contains types of sentiments (sentiment polarity) related to the category citation and citation count per each sentiment type possible connotation types: "positive", "negative", "neutral"
text_categoriesstring[]Необязательныйtext categories contains objects with text categories and citation count in each text category to obtain a full list of available categories, refer to the Categories endpoint
page_categoriesstring[]Необязательныйpage categories contains objects with page categories and citation count in each page category to obtain a full list of available categories, refer to the Categories endpoint
page_typesobjectНеобязательныйpage types contains page types and citation count per each page type
countriesobjectНеобязательныйcountries contains countries and citation count in each country to obtain a full list of available countries, refer to the Locations endpoint
languagesobjectНеобязательныйlanguages contains languages and citation count in each language to obtain a full list of available languages, refer to the Languages endpoint