Deprecated

Pricing

$5.00/month + usage

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Linkedin Profile Email Scraper

Deprecated

See alternative Actors

Developed by

Sadnan

Linkedin Email Scraper is a super fast linkedin email scraper. Scrape emails from targeted linkedin profiles. 🎯 Target professions, locations, and custom domains for precise leads. It uses Google search to extract emails. It can process hundreds of queries per minute.

0.0 (0)

Pricing

$5.00/month + usage

Total users

152

Monthly users

Runs succeeded

>99%

Last modified

4 months ago

Lead generation

Social media

You can access the Linkedin Profile Email Scraper 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=perfectscrape/linkedin-email-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with Linkedin Profile Email Scraper

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=perfectscrape/linkedin-email-scraper 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=perfectscrape/linkedin-email-scraper",
            "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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