If your bot logs in repeatedly from scratch, it raises red flags. Save and reuse session cookies to maintain a trusted state. Legal and Ethical Considerations
import requests import time # Configuration API_KEY = "YOUR_SOLVER_API_KEY" GITHUB_PUBLIC_KEY = "DE4B0816-B6DE-4D83-A513-813A17A59C13" # Example GitHub Arkose PK PAGE_URL = "https://github.com" def solve_github_captcha(): # Step 1: Create a task on the solver platform create_task_url = "https://solver-service.com" payload = "clientKey": API_KEY, "task": "type": "FunCaptchaTaskProxyLess", "websiteURL": PAGE_URL, "websitePublicKey": GITHUB_PUBLIC_KEY, "funcaptchaApiJSSubdomain": "https://arkoselabs.com" response = requests.post(create_task_url, json=payload).json() task_id = response.get("taskId") if not task_id: print("Failed to create task:", response) return None print(f"Task created successfully. Task ID: task_id. Waiting for solution...") # Step 2: Poll for the result get_result_url = "https://solver-service.com" result_payload = "clientKey": API_KEY, "taskId": task_id while True: time.sleep(5) # Wait 5 seconds between checks result_response = requests.post(get_result_url, json=result_payload).json() status = result_response.get("status") if status == "ready": token = result_response["solution"]["token"] print("CAPTCHA Solved successfully!") return token elif status == "processing": print("Still processing...") else: print("Error solving CAPTCHA:", result_response) return None # Execute the solver captcha_token = solve_github_captcha() if captcha_token: print("Token to inject into your automation script:", captcha_token[:30] + "...") Use code with caution. 3. Injecting the Token github funcaptcha solver
: Often used for specific platforms like Outlook or GitHub. If your bot logs in repeatedly from scratch,