SkillAgentSearch skills...

CloudFlare

CloudFlare turnstile solver + capsolver-like local server

Install / Use

/learn @BotsForge/CloudFlare
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

CloudFlare Turnstile Solver

Telegram channel

<p align="center"> <img src=".images/logo.png" alt="CloudFlare Turnstile Solver Logo" width="200"/> </p>

A local server for solving CloudFlare Turnstile CAPTCHA challenges and returning ready-to-use tokens. This tool automates the process of solving Turnstile CAPTCHAs, which can be integrated into your applications that need to bypass CloudFlare protection. You can use it in your bots by making requests to this local server with CAPTCHA tasks and receiving ready tokens in response.

Features

  • Solves CloudFlare Turnstile CAPTCHA challenges
  • Returns ready-to-use tokens
  • Supports multiple concurrent solving tasks
  • Simple REST API for integration
  • Asynchronous processing for better performance

Demo

<p align="center"> <img src=".images/demo1.png" alt="CloudFlare Turnstile Solver Demo" width="600"/> </p>

Requirements

  • Python >= 3.10

Installation

  1. Clone the repository:
git clone https://github.com/BotsForge/CloudFlare.git
cd CloudFlare
  1. Install the required dependencies:
pip install -r requirements.txt
  1. Create a .env file in the root directory based on the example below.

This project uses patchright-python for browser automation. Special thanks to its creators.

Usage

Starting the Server

Run the application:

python app.py

The server will start on http://localhost:5033 by default.

API Endpoints

Create a CAPTCHA Solving Task

POST /createTask

Request body:

{
  "clientKey": "your_api_key",
  "task": {
    "type": "AntiTurnstileTaskProxyLess",
    "websiteURL": "https://example.com",
    "websiteKey": "0x4AAAAAAAc6HG1RMG_8EHSC"
  }
}

Response:

{
  "taskId": "12345678-1234-1234-1234-123456789012",
  "status": "idle"
}

Get Task Result

POST /getTaskResult

Request body:

{
  "clientKey": "your_api_key",
  "taskId": "12345678-1234-1234-1234-123456789012"
}

Response (when ready):

{
  "taskId": "12345678-1234-1234-1234-123456789012",
  "status": "ready",
  "solution": {
    "token": "03AFY_a8UAzGWJsGKzUVMDRzk9..."
  }
}

Example Usage

Here's a simple example of how to use the API with Python:

import httpx
from time import sleep

# API configuration
host = 'http://127.0.0.1:5033'
api_key = 'your_api_key'

# Create a task
def create_task():
    url = host + '/createTask'
    payload = {
        "clientKey": api_key,
        "task": {
            "type": "AntiTurnstileTaskProxyLess",
            "websiteURL": "https://example.com",
            "websiteKey": "0x4AAAAAAAc6HG1RMG_8EHSC"
        }
    }
    r = httpx.post(url, json=payload)
    r = r.json()
    if r['status'] == 'idle':
        return r['taskId']

# Get the result
def get_result(taskId):
    payload = {
        "clientKey": api_key,
        "taskId": taskId
    }
    url = host + '/getTaskResult'
    for _ in range(60):
        sleep(1)
        r = httpx.post(url, json=payload)
        r = r.json()
        if r['status'] in ('error', 'ready'):
            return r

# Usage
if __name__ == '__main__':
    if taskId := create_task():
        result = get_result(taskId)
        print(result)

Testing

You can test the application using the provided test script:

python test.py

This script will create multiple CAPTCHA solving tasks and retrieve their results.

Environment Variables

Before starting the application, you need to create a .env file in the root directory. You can configure the application using the following environment variables:

  • PORT: The port on which the server will run (default: 5033)
  • LOG_LEVEL: The logging level (default: INFO)
  • max_workers: Maximum number of concurrent workers (default: 1)
  • API_KEY: Your API key for authenticating requests to the server
  • PROXY: Your proxy configuration (optional)

Example .env file

max_workers=2

PROXY=username:password@host:port

PORT=5033
API_KEY=9a35d691-6522-410e-8822-5c697bd28286
LOG_LEVEL=DEBUG

Support

Developed by MrSmith06: telegram | gtihub If you find this project helpful, feel free to leave a tip!

  • EVM address (metamask): 0x6201d7364F01772F8FbDce67A9900d505950aB99

Related Skills

View on GitHub
GitHub Stars49
CategoryDevelopment
Updated2d ago
Forks13

Languages

Python

Security Score

75/100

Audited on Mar 29, 2026

No findings