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@browserkit-dev/adapter-linkedin

v0.1.1

Published

LinkedIn adapter for browserkit — profile, company, jobs, people search, and feed

Downloads

282

Readme

@browserkit-dev/adapter-linkedin

LinkedIn adapter for browserkit — exposes LinkedIn as MCP tools over your authenticated local browser session. Runs entirely on your machine; no credentials leave localhost.

Tools

| Tool | Key inputs | Description | |---|---|---| | get_person_profile | linkedin_username, sections? | Scrape a person's profile. Optional sections: experience, education, interests, honors, languages, contact_info, posts | | get_company_profile | company_id, sections? | Scrape a company page. Optional sections: about, jobs, people, insights | | get_company_posts | company_id, count? | Recent posts from a company page | | search_people | keywords, count? | Search LinkedIn people | | search_jobs | keywords, location?, count? | Search LinkedIn job listings | | get_job_details | job_id | Full details for a specific job posting | | get_feed | count? | Your personalised LinkedIn feed |

Plus auto-registered management tools from the framework: browser (health check, screenshot, page state, mode switch, navigate), close_session.

Setup

# Install
pnpm add @browserkit-dev/adapter-linkedin

# One-time login (opens a browser window — sign in normally)
browserkit login linkedin

# Start
browserkit start --config browserkit.config.js
// browserkit.config.js
import { defineConfig } from "@browserkit-dev/core";

export default defineConfig({
  adapters: {
    "@browserkit-dev/adapter-linkedin": {
      port: 3848,
      channel: "chrome",   // use real Chrome — avoids bot detection on login
    },
  },
});

Connect your MCP client (Cursor, Claude Desktop, etc.) to http://127.0.0.1:3848/mcp.

How it works

LinkedIn's DOM changes frequently. This adapter uses an innerText extraction strategy rather than CSS class selectors: it navigates directly to section URLs and reads raw text content. This makes it resilient to React component upgrades and class-name churn.

For the feed tool, post cards are located by walking up from their social action buttons (aria-label containing "like"/"comment"/"repost") — stable semantic anchors that don't rotate.

Auth uses a persistent browser profile (~/Library/Application Support/browserkit/profiles/linkedin on macOS). Cookies survive daemon restarts — you only need to browserkit login linkedin once.

Session notes

  • Use channel: "chrome" in your adapter config to use real Google Chrome. This avoids LinkedIn's bot detection on the login page.
  • The adapter runs headless by default. Use the browser MCP tool with action: "set_mode" and mode: "watch" to make it visible for debugging.
  • Rate limit is 3 seconds between tool calls by default to avoid triggering LinkedIn's anti-scraping measures.

Tests

pnpm test                # unit tests (schema, scraper logic, URL building)
pnpm test:integration    # live browser tests against real LinkedIn (requires login)

License

MIT