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$1.75 / 1,000 results

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📌 LinkedIn Jobs Scraper (Fast & reliable listings)

Try for free

Developed by

Aliand APIs

Scrape LinkedIn job listings effortlessly! This powerful Apify Actor extracts job listings, including job titles, companies, locations, job link and detailed job descriptions, while ensuring data accuracy and efficiency. 💼 Perfect for recruiters, job seekers, and data analysts. (and not ONLY)

5.0 (1)

Pricing

$1.75 / 1,000 results

Issues response

12 days

Last modified

5 days ago

Automation

Jobs

Integrations

You can access the 📌 LinkedIn Jobs Scraper (Fast & reliable listings) 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?actors=aliand.api/linkedin-jobs-scraper-v2",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with 📌 LinkedIn Jobs Scraper (Fast & reliable listings)

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/?actors=aliand.api/linkedin-jobs-scraper-v2 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/?actors=aliand.api/linkedin-jobs-scraper-v2",
            "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.

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