LinkedIn Job Search Scraper
Pricing
$4.99 / 1,000 results
LinkedIn Job Search Scraper
Extract job listings from LinkedIn with detailed metadata including job titles, company information, requirements, and direct URLs. Perfect for job market research, competitor analysis, and talent acquisition.
5.0 (1)
Pricing
$4.99 / 1,000 results
1
Total users
10
Monthly users
10
Runs succeeded
98%
Issues response
15 days
Last modified
25 days ago
You can access the LinkedIn Job Search 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, youโll 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", "powerai/linkedin-job-search-scraper" ], "env": { "APIFY_TOKEN": "<YOUR_API_TOKEN>" } } }}Configure MCP server with LinkedIn Job Search Scraper
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=powerai/linkedin-job-search-scraper", "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.
