Linkedin Jobs Scraper Pro avatar
Linkedin Jobs Scraper Pro

Pricing

$20.00/month + usage

Go to Store
Linkedin Jobs Scraper Pro

Linkedin Jobs Scraper Pro

Developed by

datawizards

datawizards

Maintained by Community

Linkedin-Jobs-Scraper-Pro is an Apify actor that extracts LinkedIn job postings by keyword and location. Produces JSON with job IDs, titles, companies, descriptions, seniority levels, company profiles, proxy support, and timestamps for recruitment analytics and automation workflows and alerts. Smart

0.0 (0)

Pricing

$20.00/month + usage

0

Total users

2

Monthly users

2

Runs succeeded

>99%

Last modified

3 days ago

You can access the Linkedin Jobs Scraper 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=hello.datawizard-owner/linkedin-jobs-scraper-pro",
"--header",
"Authorization: Bearer <YOUR_API_TOKEN>"
]
}
}
}

Configure MCP server with Linkedin Jobs Scraper 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=hello.datawizard-owner/linkedin-jobs-scraper-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=hello.datawizard-owner/linkedin-jobs-scraper-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.