Research and monitoring
Pull LinkedIn signals such as user profile, user posts, people search, post detail into repeatable market, creator, or community research workflows.
LinkedIn Social Data Connector gives AI agents one managed route for LinkedIn search, profile, feed, detail, or trend operations. It is built for teams comparing LinkedIn API options, scraper alternatives, and agent-ready social data workflows.
Use it when an AI agent needs repeatable LinkedIn 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.
Pull LinkedIn signals such as user profile, user posts, people search, post detail into repeatable market, creator, or community research workflows.
Agents call Vernclaw with a stable connector ID, params object, and compact JSON response without managing separate credentials.
Return platform, operation, result, and item fields in a consistent envelope so downstream automations do not parse varying response formats.
This page covers User profile, User posts, People search, Post detail. Choose the operation name in the request, then pass the platform-specific parameters through `params`.
Fetch public LinkedIn profile data.
Fetch public posts for a LinkedIn profile urn.
Search LinkedIn people by name, role, company, school, or location filters.
Fetch detail for a LinkedIn post id.
Agents can inspect the schema with `describe`, then invoke the platform connector with a selected operation and JSON params.
vernclaw-cli describe social.linkedin
vernclaw-cli invoke social.linkedin --operation user_profile --params '{"keyword":"founder AI"}'It is a Vernclaw connector. Agents call Vernclaw with a supported LinkedIn operation, and the response is normalized for automation.
No for normal Vernclaw connector use. Vernclaw users authenticate with a Vernclaw API key and managed access is handled for them.
Supported operations are User profile (user_profile), User posts (user_posts), People search (search_people), Post detail (post_detail).
Yes. Run vernclaw-cli describe social.linkedin to inspect required fields, then invoke it with operation and params. Use vernclaw-cli list --json for structured catalog discovery.