LinkedIn Jobs Scraper
Pricing
from $0.50 / 1,000 dataset items
Scrapes LinkedIn job listings by keyword and location. Extracts job title, company, location, description, posted date, and more. No login required. Outputs JSON and CSV.
You can access the LinkedIn Jobs 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, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
![Linkedin Search Jobs Scraper [Without Cookies] avatar](https://images.apifyusercontent.com/R2Hg7HUu4OYUkhlVwW1-lPBPl1NGLT-ic5bF4_S0Hnk/rs:fill:76:76/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vMGlpckJJNUNkSTFIbkJxVnQvS0ZxbEVUOFFKSm1xbk8xUjgtbGlua2VkaW4ucG5n.webp){kind=avatar}
{ "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=consistent_tradition/linkedin-jobs-scraper", "--header", "Authorization: Bearer <YOUR_API_TOKEN>" ] } }}Get a ready-to-use configuration for your MCP client with the LinkedIn Jobs Scraper Actor preconfigured at mcp.apify.com?tools=consistent_tradition/linkedin-jobs-scraper .
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.