Pricing

$4.00 / 1,000 results

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Contact Detail Scraper

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Developed by

Pinto Studio

Effortlessly extract and download emails, phone numbers, and social media profiles (Facebook, Twitter, LinkedIn, Instagram) from any website with our free email extractor. You can export the data in your preferred format—Excel, CSV, JSON, HTML, or XML—for easy analysis and integration.

0.0 (0)

Pricing

$4.00 / 1,000 results

Total users

276

Monthly users

Runs succeeded

>99%

Issues response

35 days

Last modified

5 months ago

Lead generation

Jobs

Social media

You can access the Contact Detail 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": {
        "local-actors-mcp-server": {
            "command": "npx",
            "args": [
                "-y",
                "@apify/actors-mcp-server",
                "--actors",
                "pintostudio/contact-detail-scraper"
            ],
            "env": {
                "APIFY_TOKEN": "<YOUR_API_TOKEN>"
            }
        }
    }
}

Configure MCP server with Contact Detail Scraper

You can interact with the MCP server via standard input/output - stdio (as shown above), which is ideal for local integrations and command-line tools such as the Claude desktop client, or you can interact with the server through Server-Sent Events (SSE) to send messages and receive responses, which looks as follows:

{
    "mcpServers": {
        "remote-actors-mcp-server": {
            "type": "sse",
            "url": "https://mcp.apify.com/sse?actors=pintostudio/contact-detail-scraper",
            "headers": {
                "Authorization": "Bearer <YOUR_API_TOKEN>"
            }
        }
    }
}

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other supported 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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