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WeChat Search modelsapi generation api

wechat-search/v2/search-videos

Search WeChat Channels videos specifically (`video` vertical), with the result page's "duration" filter, "relevance/newest/most-liked" sort, and "time" dropdown.. Equivalent to universal search `/fetch_search` (`business...

Input
Optional. Pagination cursor, same usage as universal search `/fetch_search`. Leave empty for the first page; for the next page pass back the `cursor` from the previous response (repeat the same `duration` / `sort` / `publish_time`).
Optional, default `all`. Duration tier (Channels video only) — `all`/0 / `short`/1 (<5min) / `medium`/2 (5-10min) / `long`/3 (20min+); string key or integer, invalid values rejected (400).
Search keyword (1-100 chars)
Optional, default 0 (>=0). Pass `0` for the first page; use `cursor` to paginate (offset alone does not work). Minimum: 0.
Optional, default `all`. Publish time — `all`/0 / `day`/1 / `week`/2 / `half_year`/3; string key or integer, invalid values rejected (400).
Optional, default True. True=raw search response; False=simplified parsing.
Optional, default `default`. Sort — `default`/0 (relevance) / `latest`/1 (newest) / `hot`/2 (most liked); string key or integer, invalid values rejected (400).
Idle

Example output — click Run to generate your own

API README

WeChat Channels Video Search

Search WeChat Channels videos specifically (video vertical), with the result page's "duration" filter, "relevance/newest/most-liked" sort, and "time" dropdown. Equivalent to universal search /fetch_search (business_type=video) plus filters. all filters are verified to work. It is suitable for wechat-search workflows.

Capability

Search WeChat Channels videos specifically (video vertical), with the result page's "duration" filter, "relevance/newest/most-liked" sort, and "time" dropdown. Equivalent to universal search /fetch_search (business_type=video) plus filters. all filters are verified to work. It helps applications, agents, and automated workflows turn that capability into repeatable tasks and useful downstream experiences.

Common use cases

  • Search and discover relevant records for research, monitoring, and product experiences.
  • Build media monitoring, content intelligence, and publishing-support workflows.
  • Create repeatable integrations that pass structured results to downstream business systems.

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