Deprecated

Pricing

$2.49/month + usage

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Siso Linkedin Data Mine V2

Deprecated

See alternative Actors

Developed by

SISO Agency

The LinkedIn URL Scraper automates the extraction of LinkedIn profile details, including profile URLs, names, current positions, locations, connection counts, and profile images. Ideal for agencies seeking efficient lead generation and data collection from LinkedIn, simplifying business processes.

0.0 (0)

Pricing

$2.49/month + usage

Total users

Monthly users

Last modified

a year ago

Lead generation

Automation

You can access the Siso Linkedin Data Mine V2 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=siso/siso-linkedin-data-mine-v2",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with Siso Linkedin Data Mine V2

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=siso/siso-linkedin-data-mine-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/sse?actors=siso/siso-linkedin-data-mine-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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