Pricing

$25.00/month + usage

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Linkedin Mutual Connections Parser

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Developed by

SASWAVE

Allows you to extract all informations from mutual connections of a linkedin profile url (1st and 2nd). Full name, jobtitle, premium status, followers, linkedin url, network distance, location, number of mutual connections. Does not need to be in your network to check for mutual connections

5.0 (1)

Pricing

$25.00/month + usage

Total users

241

Monthly users

Runs succeeded

97%

Issues response

0.32 hours

Last modified

2 months ago

Lead generation

Automation

You can access the Linkedin Mutual Connections Parser 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=saswave/linkedin-mutual-connections-parser",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with Linkedin Mutual Connections Parser

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=saswave/linkedin-mutual-connections-parser 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=saswave/linkedin-mutual-connections-parser",
            "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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