Linkedin Job Details (No Cookies)
Pricing
$5.00 / 1,000 results
Linkedin Job Details (No Cookies)
Extract comprehensive LinkedIn job details including full description, company information, salary insights, and application statistics. Get detailed data from any LinkedIn job ID.
5.0 (2)
Pricing
$5.00 / 1,000 results
29
Total users
468
Monthly users
49
Runs succeeded
>99%
Last modified
a month ago
You can access the Linkedin Job Details (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-job-detail" ], "env": { "APIFY_TOKEN": "<YOUR_API_TOKEN>" } } }}Configure MCP server with LinkedIn Job Details Scraper – No Login Required
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-job-detail", "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.
