# linkedin-spider

> Use this tool when you need to extract data from LinkedIn profiles, solving problems such as lead generation, market research, and recruitment. It takes input parameters like profile URLs or search queries and outputs structured data, including profile information and contact details. Ideal for use cases where automated data collection from LinkedIn is required, integrating with git for version control.

Canonical page: https://skillsregistry.net/skills/vertexcover-io-linkedin-spider  
JSON: https://api.skillsregistry.net/v1/skills/vertexcover-io-linkedin-spider

## Trust

- **Trust score (0–1):** 0.36
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/vertexcover-io/linkedin-spider)
- **Repository:** <https://github.com/vertexcover-io/linkedin-spider>

## 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": "vertexcover-io-linkedin-spider"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vertexcover-io-linkedin-spider` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vertexcover-io-linkedin-spider/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