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⚡️Rapid Linkedin Jobs Scraper (No Cookies) | Free Jobs Scraper

Try for free

Developed by

Umesh Patidar

Boost your job scraping with Rapid LinkedIn Scraper without account cookies! Effortlessly extract job listings, company details, and full job info in minutes. Automate job scraping with ease and stay ahead in your career. Fast, reliable, and efficient—get the data you need instantly. Try it now!

5.0 (3)

Pricing

Pay per usage

Total users

627

Monthly users

224

Runs succeeded

>99%

Issues response

4 days

Last modified

a month ago

Jobs

Automation

Lead generation

You can access the ⚡️Rapid Linkedin Jobs Scraper (No Cookies) | Free Jobs 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/sse?actors=worldunboxer/rapid-linkedin-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with ⚡️Rapid Linkedin Jobs Scraper (No Cookies) | Free Jobs Scraper

You have a few options for interacting with the MCP server:

Use mcp.apify.com via mcp-remote from your local machine to connect and authenticate using OAuth or an API token (as shown in the JSON configuration above).
Set up the connection directly in your MCP client UI by providing the URL https://mcp.apify.com/sse?actors=worldunboxer/rapid-linkedin-scraper along with an API token (or use OAuth).
Connect to mcp.apify.com via Server-Sent Events (SSE), as shown below:

{
    "mcpServers": {
        "apify": {
            "type": "sse",
            "url": "https://mcp.apify.com/sse?actors=worldunboxer/rapid-linkedin-scraper",
            "headers": {
                "Authorization": "Bearer <YOUR_API_TOKEN>"
            }
        }
    }
}

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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