Pricing

$20.00/month + usage

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Linkedin Network Requests - List / Add / Remove

Try for free

Developed by

SASWAVE

SEND / REMOVE / LIST batch of linkedin connection requests. Recommended to call the actor once a day when ADDing. The script has a hard limit of 20 successfull connections requests per run. Linkedin has weekly limits setup (100-200) recommended usage: One run per day with 15-20 automated connection

5.0 (1)

Pricing

$20.00/month + usage

Issues response

0.43 hours

Last modified

21 days ago

Lead generation

Automation

You can access the Linkedin Network Requests - List / Add / Remove 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=saswave/linkedin-network-requests---list-add-remove",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with Linkedin Network Requests - List / Add / Remove

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=saswave/linkedin-network-requests---list-add-remove 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=saswave/linkedin-network-requests---list-add-remove",
            "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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