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LinkedIn Profile Scraper MCP
x402
LinkedIn Profile Scraper MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.15/call, status unknown (last checked 2026-10-12).
Scrapes and extracts structured data from a LinkedIn profile given a profile URL or identifier
Price / call$0.15
Success—
StatusUnknown
How this service works
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Output
Returns structured data extracted from the LinkedIn profile including the person's name, headline, current and past job titles, employers, employment dates, educational background, listed skills, location, and summary/bio text.
Example use cases
Sales lead enrichment from LinkedIn
“I have a LinkedIn profile URL for a potential client — linkedin.com/in/john-smith-cto — can you extract his current role, company, and professional background so I can personalize my outreach?”
Recruiting candidate research
“I'm evaluating a candidate and want to pull their full LinkedIn profile info from linkedin.com/in/jane-doe-engineer — grab their work history, education, and listed skills.”
Competitive intelligence on exec hires
“Can you scrape the LinkedIn profile at linkedin.com/in/new-vp-marketing and tell me where they worked before, what their career path looks like, and what skills they list?”
Technical details
Endpoint
POSThttps://api.m2mcent.com/linkedin-profile-scraper-mcp/api/process?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need to programmatically extract structured professional data from a LinkedIn profile for purposes like lead enrichment, recruiting research, competitive intelligence, or CRM population, and you do not have access to the LinkedIn API directly or need a pay-per-use scraping solution.
Side effects
- Invalid or private LinkedIn profile URL returns empty or error response
- Rate limiting or LinkedIn anti-scraping measures may cause timeouts
- Profile may have restricted visibility resulting in partial data
- Malformed input string returns processing error
- Non-LinkedIn URLs passed as input will yield no useful data
Output
Schema · Response
{
"type": "json",
"example": {
"success": true
}
}Tags
x402
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