Research and monitoring
Pull WeChat signals such as channels search videos, channels user profile, channels video detail, mp article detail into repeatable market, creator, or community research workflows.
WeChat API connector for agent workflows
WeChat Social Data Connector gives AI agents one managed route for WeChat search, profile, feed, detail, or trend operations. It is built for teams comparing WeChat API options, scraper alternatives, and agent-ready social data workflows.
- Connector ID
- social.wechat
- Sub-functions
- 8
- Cost
- 3 credits per successful run
What this WeChat connector is for
Use it when an AI agent needs repeatable WeChat research, public profile lookup, content detail checks, hot list monitoring, or search enrichment without managing separate credentials inside the agent. Vernclaw keeps every request behind one stable connector contract and returns normalized data for automation.
Managed connector access
Agents call Vernclaw with a stable connector ID, params object, and compact JSON response without managing separate credentials.
Normalized social data
Return platform, operation, result, and item fields in a consistent envelope so downstream automations do not parse varying response formats.
Supported WeChat API sub-functions
This page covers Channels search videos, Channels user profile, Channels video detail, MP article detail, MP account profile, MP article stats, Universal search, Video search. Choose the operation name in the request, then pass the platform-specific parameters through `params`.
Channels search videos
channels_search_videosSearch videos inside a WeChat Channel.
Channels user profile
channels_user_profileFetch WeChat Channels user profile data.
Channels video detail
channels_video_detailFetch WeChat Channels video detail.
MP article detail
mp_article_detailFetch WeChat MP article detail by URL.
MP account profile
mp_account_profileFetch WeChat MP account profile.
MP article stats
mp_article_statsFetch WeChat MP article statistics.
Universal search
searchSearch WeChat content by keyword.
Video search
search_videosSearch WeChat video content by keyword.
Agent and CLI usage
Agents can inspect the schema with `describe`, then invoke the platform connector with a selected operation and JSON params.
vernclaw-cli describe social.wechat
vernclaw-cli invoke social.wechat --operation channels_search_videos --params '{"keyword":"AI tools"}'- Platform
- Default operation
- channels_search_videos
- Input params
- operation, params
WeChat connector FAQ
Is this a WeChat API or a scraper?
It is a Vernclaw connector. Agents call Vernclaw with a supported WeChat operation, and the response is normalized for automation.
Do I need to manage a separate API key?
No for normal Vernclaw connector use. Vernclaw users authenticate with a Vernclaw API key and managed access is handled for them.
Which WeChat operations are supported?
Supported operations are Channels search videos (channels_search_videos), Channels user profile (channels_user_profile), Channels video detail (channels_video_detail), MP article detail (mp_article_detail), MP account profile (mp_account_profile), MP article stats (mp_article_stats), Universal search (search), Video search (search_videos).
Can I use it from the Vernclaw CLI?
Yes. Run vernclaw-cli describe social.wechat to inspect required fields, then invoke it with operation and params. Use vernclaw-cli list --json for structured catalog discovery.