# linkedin-profile-scraper

> linkedin-profile-scraper — investorruin-linkedin-profile-scraper. Use this tool when you need to extract public LinkedIn profile data, such as work histories, skills, and contact details, into structured formats. It solves problems related to manual data collection, lead generation, and recruitment by automating the process of gathering information from public LinkedIn profiles. The tool takes LinkedIn profile URLs as input and outputs structured data, making it ideal for use cases involving data mining, market research, and talent acquisition.

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

## Description

LinkedIn Profile Scraper is an automated data extraction tool designed to collect public profile information, professional work histories, skills, and contact details from LinkedIn into structured data formats.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/InvestorRuin/linkedin-profile-scraper)

## 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": "investorruin-linkedin-profile-scraper"
    }
  }
}
```

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