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Camoufox Scraper

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Camoufox Scraper

Camoufox Scraper

josef.prochazka/camoufox-scraper
Try for free

No credit card required

Simple actor that uses Playwright with Camoufox to test if a specific website blocking mechanisms can be bypassed by using Camoufox.

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Maintained by Community

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  • 1 monthly user

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  • >99% runs succeeded

  • Created in Feb 2025

  • Modified a month ago

You can access the Camoufox 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=josef.prochazka/camoufox-scraper"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using Camoufox Scraper via Model Context Protocol (MCP) server

MCP server lets you use Camoufox Scraper 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 Camoufox Scraper 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            {
9                  "url": "https://crawlee.dev"
10            }
11      ],
12      "maxCrawlingDepth": 1,
13      "maxRequestsPerCrawl": 1,
14      "requestTimeout": 30,
15      "linkSelector": "a[href]",
16      "linkPatterns": [
17            ".*crawlee\\\\.dev.*"
18      ],
19      "pageFunction": "from typing import Any\\nfrom crawlee.crawlers import PlaywrightCrawlingContext\\n \\nasync def page_function(context: PlaywrightCrawlingContext) -> Any:\\n    url = context.request.url\\n    title = await context.page.locator(\\"title\\").first.inner_text()\\n    return {'\''url'\'': url, '\''title'\'': title}\\n",
20      "proxyConfiguration": {
21            "useApifyProxy": true
22      }
23},
24    "name": "josef.prochazka/camoufox-scraper"
25  }
26}'

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 Camoufox Scraper

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        "josef.prochazka/camoufox-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.