πŸ”₯ LinkedIn Jobs Scraper – Multiple Titles & Locations in One! avatar
πŸ”₯ LinkedIn Jobs Scraper – Multiple Titles & Locations in One!

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$1.00 / 1,000 results

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πŸ”₯ LinkedIn Jobs Scraper – Multiple Titles & Locations in One!

πŸ”₯ LinkedIn Jobs Scraper – Multiple Titles & Locations in One!

Developed by

LNTB

LNTB

Maintained by Community

This LinkedIn Job Scraper allows you to extract job listings across multiple job titles and locations: πŸ” Key Features: Input multiple job titles (e.g. "Software Engineer", "Data Analyst") Input multiple locations (e.g. "London", "New York", "Berlin") Filters by work type: On-site, Remote, Hybrid

5.0 (3)

Pricing

$1.00 / 1,000 results

8

Total users

49

Monthly users

22

Runs succeeded

>99%

Issues response

15 days

Last modified

2 months ago

You can access the πŸ”₯ LinkedIn Jobs Scraper – Multiple Titles & Locations in One! 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=lntb/linkedin-jobs-scraper---multiple-titles-locations-in-one",
"--header",
"Authorization: Bearer <YOUR_API_TOKEN>"
]
}
}
}

Configure MCP server with πŸ”₯ LinkedIn Jobs Scraper – Multiple Titles & Locations in One!

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=lntb/linkedin-jobs-scraper---multiple-titles-locations-in-one 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=lntb/linkedin-jobs-scraper---multiple-titles-locations-in-one",
"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.