# LinkedIn Scraper

> Use this tool when you need to automate the extraction of LinkedIn profile data, solving problems such as manual data collection for recruitment, lead generation, or professional network analysis. It takes LinkedIn credentials and profile URLs as input and outputs scraped profile information, including personal details, work experience, and contact information. Use it in contexts where programmatic access to LinkedIn data is required, such as data-driven research or business development applications.

Canonical page: https://skillsregistry.net/skills/superyuser-linkedin-scraper  
JSON: https://api.skillsregistry.net/v1/skills/superyuser-linkedin-scraper

## Description

This LinkedIn profile scraper MCP server provides AI assistants with automated LinkedIn profile data extraction capabilities through Selenium WebDriver automation. Built with TypeScript and featuring both HTTP and STDIO transport options, it uses Chrome browser automation to log into LinkedIn with provided credentials and systematically scrape profile information including personal details, work experience, education, skills, and contact information. The implementation includes anti-detection measures, progressive scrolling to load dynamic content, and robust error handling for various LinkedIn page layouts. It serves developers and researchers who need programmatic access to LinkedIn profile data for recruitment, lead generation, or professional network analysis, offering both headless and visible browser modes for different deployment scenarios.

## Trust

- **Trust score (0–1):** 0.86
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/superyuser-linkedin-scraper)
- **Repository:** <https://github.com/superyuser/linkedin-scraper-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "superyuser-linkedin-scraper"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/superyuser-linkedin-scraper` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/superyuser-linkedin-scraper/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt