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Linkedin Jobs and Company details Pro

Pricing

$25.00/month + usage

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Linkedin Jobs and Company details Pro

Linkedin Jobs and Company details Pro

Developed by

GetDataForMe

GetDataForMe

Maintained by Community

Linkedin Jobs Scraper Pro has the feature to scrape not just the jobs but the company posting the jobs and some details of it like the number of employees it has. The scraper has the filter to filter based on Country, job title and the time range from which you want to pull the jobs.

0.0 (0)

Pricing

$25.00/month + usage

0

Total users

7

Monthly users

5

Runs succeeded

>99%

Last modified

2 months ago

You can access the Linkedin Jobs and Company details Pro 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=getdataforme/linkedin-jobs-and-company-details-pro",
"--header",
"Authorization: Bearer <YOUR_API_TOKEN>"
]
}
}
}

Configure MCP server with Linkedin Jobs and Company details Pro

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=getdataforme/linkedin-jobs-and-company-details-pro 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=getdataforme/linkedin-jobs-and-company-details-pro",
"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.