Pricing

$30.00/month + usage

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Email ✉️ & Phone ☎️ Extractor

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Developed by

Anchor

Extract emails, phone numbers, and other contact information like Twitter, LinkedIn, Instagram... from websites you provide. Best for lead generation and data enrichment. Export data in structured formats and dominate your outreach game. Capture your leads almost for free, fast, and without limits.

1.0 (4)

Pricing

$30.00/month + usage

Total users

6.8K

Monthly users

154

Runs succeeded

>99%

Last modified

5 months ago

Lead generation

You can access the Email ✉️ & Phone ☎️ Extractor 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=anchor/email-phone-extractor",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with Email & Phone Extractor

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=anchor/email-phone-extractor 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=anchor/email-phone-extractor",
            "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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