数据 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.
参数
没有路径、查询或请求头参数。
请求体
category_codeinteger必填target category code required field to obtain a full list of available categories, refer to the Categories endpoint
page_typestring[]可选target page types optional field use this parameter to filter the dataset by page types possible values: "ecommerce", "news", "blogs", "message-boards", "organization"
search_modestring可选results 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_limitinteger可选maximum 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_fromstring必填starting date of the time range required field minimum value: 2022-10-31 date format: "yyyy-mm-dd" example: "2019-01-15"
date_tostring可选ending 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_groupstring可选time range which will be used to group the results optional field default value: month possible values: day, week, month
initial_dataset_filtersarray可选initial 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_scalestring可选defines 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
tagstring可选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
请求示例
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>"
}'响应
响应字段
versionstring可选the current version of the API
status_codeinteger可选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_messagestring可选general informational message you can find the full list of general informational messages here
timestring可选execution time, seconds
costnumber可选total tasks cost, USD
tasks_countinteger可选the number of tasks in the tasks array
tasks_errorinteger可选the number of tasks in the tasks array returned with an error
tasksstring[]可选array of tasks
idstring可选task identifier unique task identifier in our system in the UUID format
status_codeinteger可选status 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_messagestring可选informational message of the task you can find the full list of general informational messages here
timestring可选execution time, seconds
costnumber可选cost of the task, USD
result_countinteger可选number of elements in the result array
pathstring[]可选URL path
dataobject可选contains the same parameters that you specified in the POST request
resultstring[]可选array of results
typestring可选type of element = ‘content_analysis_trends’
datestring可选date for which the data is provided
total_countinteger可选total number of results in our database relevant to your request
rankinteger可选rank of all URLs citing the keyword normalized sum of ranks of all URLs citing the target keyword for the given date
top_domainsstring[]可选top domains citing the target keyword contains objects with top domains citing the target category and citation count per each domain
sentiment_connotationsobject可选sentiment 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_typesobject可选connotation 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[]可选text 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[]可选page 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_typesobject可选page types contains page types and citation count per each page type
countriesobject可选countries contains countries and citation count in each country to obtain a full list of available countries, refer to the Locations endpoint
languagesobject可选languages contains languages and citation count in each language to obtain a full list of available languages, refer to the Languages endpoint