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Search, filter, and extract structured LinkedIn job listing data automatically.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "LinkedIn Scraper MCP Server" yet — see the docs or source repo.
Search LinkedIn for "Remote Data Analyst" jobs, filter to the United States and jobs posted in the last 7 days, then extract title, company, location, salary, required skills, and applicant count. Return the results as structured JSON.
A filtered list of jobs with key fields in a structured, analysis-ready format.
Extract LinkedIn listings for "Product Manager" roles in New York, San Francisco, and Austin. Pull company, salary, skill requirements, and applicant counts for each job, then summarize them in a comparison table.
A city-by-city comparison table showing differences in salary, skills, and demand.
Search LinkedIn for "DevOps Engineer" jobs, collect required skills from the top 100 results, then rank the most frequent skills and provide a brief summary of the findings.
A frequency breakdown of skills, a ranked list of top skills, and a brief hiring trend summary.
Search LinkedIn jobs with filters and retrieve detailed job information.
Search LinkedIn profiles and securely retrieve detailed profile data.
Access LinkedIn data for company, people, posts, and research insights.
Search LinkedIn Ad Library for competitor ads, hiring signals, and endorsements.
Safely automate LinkedIn search, messaging, feed, and job actions with preview control.
Enable AI assistants to access LinkedIn profiles, companies, jobs, and messages.