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Dark Web Scraper

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Dark Web Scraper

Dark Web Scraper

epctex/darkweb-scraper
Try for free

3 days trial then $15.00/month - No credit card required now

Uncover valuable insights with our Dark Web Scraper. Extract sensitive data, including crypto wallets, API keys, emails, phone numbers, and more, from the depths of the Dark Web. You can specify search terms, and customize and retrieve OSINT data out of the box.

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  • 40 monthly users

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  • 24 bookmarks

  • >99% runs succeeded

  • Created in Apr 2022

  • Modified 16 hours ago

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You can access the Dark Web 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.

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

Using Deep Web Data Extractor via Model Context Protocol (MCP) server

MCP server lets you use Deep Web Data Extractor 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 Deep Web Data Extractor 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      "startUrls": [
8            "http://xjfbpuj56rdazx4iolylxplbvyft2onuerjeimlcqwaihp3s6r4xebqd.onion/"
9      ],
10      "maxDepth": 5,
11      "maxPages": 20,
12      "extendOutputFunction": "($) => { return {} }"
13},
14    "name": "epctex/darkweb-scraper"
15  }
16}'

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 Deep Web Data Extractor

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        "epctex/darkweb-scraper"
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.