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Linkedin User Profile Url - Mass Finder

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Linkedin User Profile Url - Mass Finder

Linkedin User Profile Url - Mass Finder

sanjeta/linkedin-user-profile-url---mass-finder
Try for free

2 hours trial then $10.00/month - No credit card required now

LinkedIn User Profile URL - Mass Finder automates locating LinkedIn profiles by inputting names, location or designations. It provides instant URLs, saving time for market research, lead generation, and recruitment. It enhances efficiency and streamlines workflows

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  • 14 monthly users

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  • 5 bookmarks

  • >99% runs succeeded

  • 12 hours response time

  • Created in Jul 2024

  • Modified 2 months ago

You can access the Linkedin User Profile Url - Mass Finder 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.

1# Start Server-Sent Events (SSE) session and keep it running
2curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=sanjeta/linkedin-user-profile-url---mass-finder"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using Linkedin User Profile Url - Mass Finder via Model Context Protocol (MCP) server

MCP server lets you use Linkedin User Profile Url - Mass Finder within your AI workflows. Send API requests to trigger actions and receive real-time results. Take the received sessionId and use it to communicate with the MCP server. The message starts the Linkedin User Profile Url - Mass Finder Actor with the provided input.

1curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
2  "jsonrpc": "2.0",
3  "id": 1,
4  "method": "tools/call",
5  "params": {
6    "arguments": {
7      "names": "Sundar Pichai"
8},
9    "name": "sanjeta/linkedin-user-profile-url---mass-finder"
10  }
11}'

The response should be: Accepted. You should received response via SSE (JSON) as:

1event: message
2data: {
3  "result": {
4    "content": [
5      {
6        "type": "text",
7        "text": "ACTOR_RESPONSE"
8      }
9    ]
10  }
11}

Configure local MCP Server via standard input/output for Linkedin User Profile Url - Mass Finder

You can connect to the MCP Server using clients like ClaudeDesktop and LibreChat or build your own. The server can run both locally and remotely, giving you full flexibility. Set up the server in the client configuration as follows:

1{
2  "mcpServers": {
3    "actors-mcp-server": {
4      "command": "npx",
5      "args": [
6        "-y",
7        "@apify/actors-mcp-server",
8        "--actors",
9        "sanjeta/linkedin-user-profile-url---mass-finder"
10      ],
11      "env": {
12        "APIFY_TOKEN": "<YOUR_API_TOKEN>"
13      }
14    }
15  }
16}

You can further access the MCP client through the Tester MCP Client, a chat user interface to interact with the server.

To get started, check out the documentation and example clients. If you are interested in learning more about our MCP server, check out our blog post.