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LinkedIn Jobs Scraper (Apify) – salary, recruiter and company data

LinkedIn Jobs Scraper (Apify) – salary, recruiter and company data

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apify.comBusiness & Marketing0Updated 1w ago
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About LinkedIn Jobs Scraper (Apify) – salary, recruiter and company data

A hosted MCP server and agent skill that connects AI agents to the LinkedIn Jobs Scraper Apify Actor. It returns structured job listings with salary, recruiter, applicant, and optional company details, without requiring LinkedIn login or API access.

Key features

  1. 01Search LinkedIn job listings
  2. 02Return descriptions and job attributes
  3. 03Include salary ranges and applicant counts
  4. 04Provide recruiter and optional company details

Use cases

  1. 01Find recent jobs by role, location, or date
  2. 02Compare salary ranges and company details
  3. 03Identify recruiters for relevant openings

MCP support

The hosted MCP server exposes the Apify Actor to MCP clients. An agent skill explains input fields, filters, cost estimation, and output interpretation.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://mcp.apify.com/?tools=harshmaur/linkedin-jobs-scraper
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

All endpoints
Streamable HTTPhttps://mcp.apify.com/?tools=harshmaur/linkedin-jobs-scraperAuth required

Tools

Details

From the project README

LinkedIn Jobs Scraper — MCP server and agent skill

Give your AI agent live LinkedIn job data. This repo connects Claude, Cursor, Codex and any other MCP client or skill-aware agent to the LinkedIn Jobs Scraper Apify Actor.

Ask for "data engineer jobs in Berlin from this week" and get one row per job: title, company, location, posting date, full description in Markdown, seniority, employment type, applicant count, salary with parsed minimum and maximum, the recruiter who posted it, and optional company size, website and headquarters.

No LinkedIn account, cookies or API access. You need only an Apify account (the free plan works).

Hosted MCP server

https://mcp.apify.com/?tools=harshmaur/linkedin-jobs-scraper

Authenticate with OAuth in the client, or send Authorization: Bearer <APIFY_TOKEN>. Get a token at Apify Console → Integrations.

Claude Code:

claude mcp add --transport http linkedin-jobs https://mcp.apify.com/?tools=harshmaur/linkedin-jobs-scraper

Cursor, Windsurf, VS Code and others (mcp.json):

{
  "mcpServers": {
    "linkedin-jobs-scraper": {
      "url": "https://mcp.apify.com/?tools=harshmaur/linkedin-jobs-scraper"
    }
  }
}

Registry name: io.github.harshmaur/linkedin-jobs-scraper in the official MCP Registry.

Agent skill

skills/apify-linkedin-jobs-scraper/SKILL.md teaches an agent which input field fits a request, which LinkedIn filters are exact, how to estimate cost before a run, and how to read the output.

Claude Code plugin (skill plus the hosted MCP tool):

/plugin install apify-linkedin-jobs-scraper --marketplace harshmaur/apify-linkedin-jobs-scraper

Any agent that reads skills:

npx skills add https://github.com/harshmaur/apify-linkedin-jobs-scraper

What you can ask

  • "Product manager jobs in London posted in the last 24 hours, as a table."
  • "500 remote React jobs in the US with salary ranges and company size."
  • "Which companies in Germany hire data engineers this week, and who is the recruiter?"
  • "Send every new DevOps job in Canada to my Slack channel each morning."

Price

Pay per job: $1.00 per 1,000 on the Apify Free plan, $0.40 to $0.47 per 1,000 on paid plans. No start fee. Details, recruiter and company data are included. Apify's free monthly credit covers several thousand jobs.

Links

Disclosure: the Actor is paid per result and built by the author of this repo. Links carry no affiliate parameters.

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