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LinkedIn Jobs Scraper | Remove Duplicate Jobs

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cheap_scraper

LinkedIn Jobs Scraper | Remove Duplicate Jobs. The LinkedIn jobs scraper allows you to collect jobs in 2 ways: By providing one or more start URLs, or By entering multiple keywords, search queries. You can use either method individually or combine both.

3.2 (4)

Pricing

from $0.65 / 1,000 results

Total users

396

Monthly users

216

Runs succeeded

98%

Issues response

5.3 hours

Last modified

3 days ago

Jobs

Developer tools

You can access the LinkedIn Jobs Scraper | Remove Duplicate Jobs 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/sse?actors=cheap_scraper/linkedin-job-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with LinkedIn Jobs Scraper | Remove Duplicate Jobs

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/sse?actors=cheap_scraper/linkedin-job-scraper 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/sse?actors=cheap_scraper/linkedin-job-scraper",
            "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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