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Premium Linkedin Jobs Scraper

Pricing

$15.00/month + usage

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Premium Linkedin Jobs Scraper

Premium Linkedin Jobs Scraper

Developed by

Sadnan

Sadnan

Maintained by Community

A powerful and super fast LinkedIn jobs scraper. Extract 30+ fields like job title, salary, applicants, company and descriptions. Uses HTTPS requests, not a browser faster and safer scraping. Just add a search URL and your LinkedIn cookies. Fast, smooth scraping - get LinkedIn data in seconds.

0.0 (0)

Pricing

$15.00/month + usage

1

Total users

8

Monthly users

6

Runs succeeded

71%

Last modified

a month ago

You can access the Premium 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=perfectscrape/premium-linkedin-jobs-scraper",
"--header",
"Authorization: Bearer <YOUR_API_TOKEN>"
]
}
}
}

Configure MCP server with Premium 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=perfectscrape/premium-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=perfectscrape/premium-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.