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Fast LinkedIn Jobs Scraper

Pricing

$1.50 / 1,000 results

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Fast LinkedIn Jobs Scraper

Fast LinkedIn Jobs Scraper

Developed by

aaas ma

aaas ma

Maintained by Community

Simply input your desired job titles and location to get a customized list of job opportunities, job titles, job description, job salary, job type, job location complete with company details and links. Start exploring today!

5.0 (1)

Pricing

$1.50 / 1,000 results

17

Total users

154

Monthly users

44

Runs succeeded

>99%

Last modified

5 months ago

You can access the Fast LinkedIn 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.

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

Configure MCP server with LinkedIn 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=aaas.ma/fast-linkedin-jobs-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=aaas.ma/fast-linkedin-jobs-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.