Advanced LinkedIn Job Search API avatar
Advanced LinkedIn Job Search API

Pricing

$9.00 / 1,000 jobs

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Advanced LinkedIn Job Search API

Advanced LinkedIn Job Search API

Developed by

Fantastic.jobs

Fantastic.jobs

Maintained by Community

Access our real-time LinkedIn Jobs database with over 10 million new jobs per month. With detailed company data, recruiter data, and AI enrichments! Get exact results with our advanced filters on title, description, location, company description, no. of employees, industry, seniority, and easyapply.

5.0 (1)

Pricing

$9.00 / 1,000 jobs

0

Total users

5

Monthly users

5

Runs succeeded

>99%

Last modified

3 days ago

You can access the Advanced LinkedIn Job Search API 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=fantastic-jobs/advanced-linkedin-job-search-api",
"--header",
"Authorization: Bearer <YOUR_API_TOKEN>"
]
}
}
}

Configure MCP server with Advanced LinkedIn Job Search API

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=fantastic-jobs/advanced-linkedin-job-search-api 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=fantastic-jobs/advanced-linkedin-job-search-api",
"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.