Linkedin Search Jobs Scraper (Without Cookies) avatar
Linkedin Search Jobs Scraper (Without Cookies)

Pricing

$10.00/month + usage

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Linkedin Search Jobs Scraper (Without Cookies)

Linkedin Search Jobs Scraper (Without Cookies)

Developed by

Muhamed Didovic

Muhamed Didovic

Maintained by Community

Streamline your job search and recruitment process with the LinkedIn Scraper. Easily extract detailed listings, application insights, and company profiles. This tool is perfect for recruiters, job seekers, or analysts who want to harness LinkedIn's vast job marketplace data with precision and speed.

0.0 (0)

Pricing

$10.00/month + usage

2

Total users

58

Monthly users

16

Runs succeeded

>99%

Last modified

17 days ago

You can access the Linkedin Search Jobs Scraper (Without Cookies) 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.

{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/sse?actors=memo23/apify-linkedin-search-results-scraper",
"--header",
"Authorization: Bearer <YOUR_API_TOKEN>"
]
}
}
}

Configure MCP server with Linkedin Search Jobs Scraper (Without Cookies)

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=memo23/apify-linkedin-search-results-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=memo23/apify-linkedin-search-results-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.