Pricing

Pay per usage

Linkedin Profile Scraper

Extract LinkedIn job listings by role, skill, and location in **under 60 seconds** — no browser required, no bloat, production-ready.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Dinesh Kumar Wadhwani

Actor stats

Bookmarked

Total users

Monthly active users

3 days ago

Last modified

Categories

Agents

Jobs

You can access the Linkedin Profile Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=dineshwadhwani/linkedin-profile-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with Linkedin Profile Scraper

Get a ready-to-use configuration for your MCP client with the Linkedin Profile Scraper Actor preconfigured at mcp.apify.com?tools=dineshwadhwani/linkedin-profile-scraper .

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.

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