My Actor 1

Under maintenance

Pricing

Pay per usage

Try for free

Go to Apify Store

My Actor 1

Under maintenance

Try for free

Developed by

Khalid Alsaba

Maintained by Community

It sounds like you're building an Apify actor to scrape full profile data from LinkedIn, and you need a sample description for it (perhaps for the actor's listing or documentation). Based on common practices for similar tools, here's a suggested description you could use or adapt

0.0 (0)

Pricing

Pay per usage

Last modified

2 days ago

Lead generation

Automation

You can access the My Actor 1 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=astute_shehnai/my-actor-1",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with My Actor 1

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=astute_shehnai/my-actor-1 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=astute_shehnai/my-actor-1",
            "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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