get_profile
Extract LinkedIn profile data from any public profile URL to retrieve professional information in structured JSON format.
Instructions
Get LinkedIn profile data for a given profile URL.
Args:
linkedin_url: The LinkedIn profile URL.Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| linkedin_url | Yes |
Implementation Reference
- linkedin.py:53-63 (handler)The handler function for the 'get_profile' tool, decorated with @mcp.tool() for registration. It calls the helper to fetch data and returns formatted JSON or error message.
@mcp.tool() async def get_profile(linkedin_url: str) -> str: """Get LinkedIn profile data for a given profile URL. Args: linkedin_url: The LinkedIn profile URL. """ data = await get_linkedin_data(linkedin_url) if not data: return "Unable to fetch LinkedIn profile data." return json.dumps(data, indent=2) - linkedin.py:20-51 (helper)Helper utility that performs the actual HTTP request to the LinkedIn profile scraping API and returns the raw data or None on failure.
async def get_linkedin_data(linkedin_url: str) -> dict[str, Any] | None: """Fetch LinkedIn profile data using the Fresh LinkedIn Profile Data API.""" params = { "linkedin_url": linkedin_url, "include_skills": "true", "include_certifications": "false", "include_publications": "false", "include_honors": "false", "include_volunteers": "false", "include_projects": "false", "include_patents": "false", "include_courses": "false", "include_organizations": "false", "include_profile_status": "false", "include_company_public_url": "false" } headers = { "x-rapidapi-key": RAPIDAPI_KEY, "x-rapidapi-host": RAPIDAPI_HOST } async with httpx.AsyncClient() as client: try: response = await client.get( f"{LINKEDIN_API_BASE}/get-linkedin-profile", headers=headers, params=params, timeout=30.0 ) response.raise_for_status() return response.json() except Exception: return None