# Directory Structure
```
├── .gitignore
├── .python-version
├── pyproject.toml
├── README.md
├── server.py
└── uv.lock
```
# Files
--------------------------------------------------------------------------------
/.python-version:
--------------------------------------------------------------------------------
```
1 | 3.12
2 |
```
--------------------------------------------------------------------------------
/.gitignore:
--------------------------------------------------------------------------------
```
1 | # Python-generated files
2 | __pycache__/
3 | *.py[oc]
4 | build/
5 | dist/
6 | wheels/
7 | *.egg-info
8 |
9 | # Virtual environments
10 | .venv
11 | .env
12 |
```
--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
```markdown
1 | # LinkedIn Profile Scraper
2 | This project is a LinkedIn Profile Scraper built using FastMCP and httpx to fetch LinkedIn profile data via the RapidAPI LinkedIn Profile Scraper API.
3 | ## Features
4 | + Retrieves LinkedIn profile data asynchronously.
5 | + Allows selective inclusion of data like skills, certifications, and more.
6 | + Uses FastMCP for structured execution.
7 | + Integrated with Claude Desktop for AI-powered processing.
8 | ## Prerequisites
9 | + A RapidAPI account with access to the LinkedIn Profile Scraper API.
10 | + A valid RAPIDAPI_KEY.
11 | + Installed dependencies from requirements.txt.
12 |
13 | # Video Link:
14 | https://drive.google.com/file/d/1I3V8SlOgvMgg8hiMxO3Z2lrZl7v00VqM/view?usp=sharing
15 |
```
--------------------------------------------------------------------------------
/pyproject.toml:
--------------------------------------------------------------------------------
```toml
1 | [project]
2 | name = "linkedln-mcp"
3 | version = "0.1.0"
4 | description = "Add your description here"
5 | readme = "README.md"
6 | requires-python = ">=3.12"
7 | dependencies = [
8 | "httpx>=0.28.1",
9 | "mcp[cli]>=1.4.1",
10 | ]
11 |
```
--------------------------------------------------------------------------------
/server.py:
--------------------------------------------------------------------------------
```python
1 | from typing import Any
2 | import httpx
3 | import json
4 | from mcp.server.fastmcp import FastMCP
5 | import os
6 | from dotenv import load_dotenv
7 |
8 | load_dotenv()
9 |
10 | RAPIDAPI_KEY = os.getenv("RAPIDAPI_KEY")
11 | if not RAPIDAPI_KEY:
12 | raise ValueError("RAPIDAPI_KEY is not set in the environment variables")
13 |
14 | mcp = FastMCP("linkedin_profile_scrapper")
15 |
16 | LINKEDIN_API_BASE = "https://fresh-linkedin-profile-data.p.rapidapi.com"
17 | RAPIDAPI_HOST = "fresh-linkedin-profile-data.p.rapidapi.com"
18 |
19 | async def get_linkedin_data(linkedin_url: str) -> dict[str, Any] | None:
20 | params = {
21 | "linkedin_url": linkedin_url,
22 | "include_skills": "true",
23 | "include_certifications": "false",
24 | "include_publications": "false",
25 | "include_honors": "false",
26 | "include_volunteers": "false",
27 | "include_projects": "false",
28 | "include_patents": "false",
29 | "include_courses": "false",
30 | "include_organizations": "false",
31 | "include_profile_status": "false",
32 | "include_company_public_url": "false"
33 | }
34 | headers = {
35 | "x-rapidapi-key": RAPIDAPI_KEY,
36 | "x-rapidapi-host": RAPIDAPI_HOST
37 | }
38 | async with httpx.AsyncClient() as client:
39 | try:
40 | response = await client.get(
41 | f"{LINKEDIN_API_BASE}/get-linkedin-profile",
42 | headers=headers,
43 | params=params,
44 | timeout=30.0
45 | )
46 | response.raise_for_status()
47 | return response.json()
48 | except Exception:
49 | return None
50 |
51 | @mcp.tool()
52 | async def get_profile(linkedin_url: str) -> str:
53 | data = await get_linkedin_data(linkedin_url)
54 | if not data:
55 | return "Unable to fetch LinkedIn profile data."
56 | return json.dumps(data, indent=2)
57 |
58 | if __name__ == "__main__":
59 | mcp.run(transport="stdio")
```