⚑️ Linkedin Jobs Scraper πŸ”₯ avatar
⚑️ Linkedin Jobs Scraper πŸ”₯

Pricing

$20.00/month + usage

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⚑️ Linkedin Jobs Scraper πŸ”₯

⚑️ Linkedin Jobs Scraper πŸ”₯

Developed by

Oza Dev

Oza Dev

Maintained by Community

LinkedIn Job Scraper is a powerful and reliable automation tool Designed to extract job listings directly from LinkedIn Jobs using advanced search logic and filters. It helps recruiters, job boards, analysts, and HR professionals gather high-quality job data at scale β€” with over 98% success rate

0.0 (0)

Pricing

$20.00/month + usage

0

Total users

3

Monthly users

3

Runs succeeded

>99%

Last modified

6 days ago

You can access the ⚑️ Linkedin Jobs Scraper πŸ”₯ 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=oza-dev/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=oza-dev/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=oza-dev/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.