Turbo Linkedin Jobs Scraper (No Cookies) avatar
Turbo Linkedin Jobs Scraper (No Cookies)

Pricing

$15.00/month + usage

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Turbo Linkedin Jobs Scraper (No Cookies)

Turbo Linkedin Jobs Scraper (No Cookies)

Developed by

Sadnan

Sadnan

Maintained by Community

Scrape LinkedIn jobs instantly - no logins or cookies! Super fast https scraping upto 300+ listings/minute! Geo, distance and time targeting with proxy support. Extract salaries, locations, company insights, and more fields at lightning speed. Perfect for recruiters, applicants, or job dashboards.

0.0 (0)

Pricing

$15.00/month + usage

2

Total users

17

Monthly users

11

Runs succeeded

>99%

Last modified

2 months ago

You can access the Turbo Linkedin Jobs Scraper (No Cookies) 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/turbo-linkedin-jobs-scraper",
"--header",
"Authorization: Bearer <YOUR_API_TOKEN>"
]
}
}
}

Configure MCP server with Turbo Linkedin Jobs Scraper (No Cookies)

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/turbo-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/turbo-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.