LinkedIn Jobs Scraper - No Cookies
Pricing
$5.00 / 1,000 jobs
LinkedIn Jobs Scraper - No Cookies
Extract LinkedIn jobs data including titles, descriptions, company info, and application details. Features advanced filtering by location, experience, job type, and Easy Apply status.
2.9 (4)
Pricing
$5.00 / 1,000 jobs
51
Total users
889
Monthly users
134
Runs succeeded
99%
Issues response
0.4 hours
Last modified
21 days ago
You can access the 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": { "local-actors-mcp-server": { "command": "npx", "args": [ "-y", "@apify/actors-mcp-server", "--actors", "apimaestro/linkedin-jobs-scraper-api" ], "env": { "APIFY_TOKEN": "<YOUR_API_TOKEN>" } } }}Configure MCP server with LinkedIn Jobs Scraper API – No Login, Advanced Search
You can interact with the MCP server via standard input/output - stdio (as shown above), which is ideal for local integrations and command-line tools such as the Claude desktop client, or you can interact with the server through Server-Sent Events (SSE) to send messages and receive responses, which looks as follows:
{ "mcpServers": { "remote-actors-mcp-server": { "type": "sse", "url": "https://mcp.apify.com/sse?actors=apimaestro/linkedin-jobs-scraper-api", "headers": { "Authorization": "Bearer <YOUR_API_TOKEN>" } } }}You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other supported 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.
