# LinkedIn Scraper MCP Server

> Use this tool when you need to extract job listing data from LinkedIn, such as salary, skills, and applicant counts, to inform recruitment strategies or labor market analyses. It solves problems of manual data collection and provides structured data outputs for further analysis. The tool takes search queries and filters as inputs, returning organized job listing data for AI-driven insights.

Canonical page: https://skillsregistry.net/skills/anjani27-anjani27-linkedin-job-scraper-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/anjani27-anjani27-linkedin-job-scraper-mcp-server

## Description

Enables AI assistants to search, filter, and extract job listings from LinkedIn using an automated headless browser, returning structured data such as salary, skills, and applicant counts.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/k4t0qtqlce)
- **Repository:** <https://github.com/Anjani27/Linkedin-Job-Scraper-MCP-Server>

## 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": "anjani27-anjani27-linkedin-job-scraper-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/anjani27-anjani27-linkedin-job-scraper-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/anjani27-anjani27-linkedin-job-scraper-mcp-server/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