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Network Linkedin batch Connection requests

Pricing

$20.00/month + usage

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Network Linkedin batch Connection requests

Network Linkedin batch Connection requests

Developed by

SASWAVE

SASWAVE

Maintained by Community

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

7

Total users

62

Monthly users

13

Runs succeeded

22%

Issues response

0.43 hours

Last modified

2 months ago

You can access the Network Linkedin batch Connection requests 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.

{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/sse?actors=saswave/network-linkedin-batch-connection-requests",
"--header",
"Authorization: Bearer <YOUR_API_TOKEN>"
]
}
}
}

Configure MCP server with Network Linkedin batch Connection requests

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/network-linkedin-batch-connection-requests 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/network-linkedin-batch-connection-requests",
"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.