MCP server that exports your LinkedIn job applicants (lists, resumes, profiles) through your own Chrome, paced like a person, with a local dashboard
View on GitHub ↗Homepage ↗Export the applicants of your LinkedIn job posts (lists, application details, resume files and full profiles) through your own logged-in Chrome, paced like a person. Drive it from Claude, Codex, Cursor or any MCP client, browse and search the results in a local dashboard, and export them to CSV or JSON.
linkedin-applicants-mcp is a Model Context Protocol server for LinkedIn job posters, company-page admins and hiring collaborators using the free hiring dashboard, not Recruiter seats. It drives your own installed Google Chrome, in a dedicated profile you sign in to once, through the dashboard you already have access to: posted jobs, applicant lists, each application (contact details, screening answers, rating, resume file) and the applicant's full LinkedIn profile. Everything lands in a local SQLite database and a folder of files that you query instantly from Claude, browse in a local dashboard, or export to CSV/JSON.
- LinkedIn's job-poster dashboard has no bulk export: applications and resumes can only be opened one at a time. - Popular postings collect thousands of applicants across open and closed jobs; downloading each resume by hand does not scale. - Any burst of automation gets a LinkedIn account restricted. This server does the slow, careful thing instead: one visible tab, human-like input, working hours, daily and hourly caps that ramp up and vary from day to day like a person's workload (67 applications one day, 43 the next, never the same number twice), random breaks, shuffled order, and a resumable queue that keeps going for as many days as a job needs. - It is
From the project README.
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