How to Solve CAPTCHA in Browser-use with CapSolver API

import requests
import time
from browser_use import Controller, ActionResult
from playwright.async_api import Page

CAPSOLVER_API_KEY = 'YOUR_CAPSOLVER_API_KEY'

@controller.action('Solve CAPTCHA', domains=['*'])
async def solve_captcha(page: Page) -> ActionResult:
    if await page.query_selector('.g-recaptcha'):
        site_key = await page.evaluate("document.querySelector('.g-recaptcha').getAttribute('data-sitekey')")
        page_url = page.url

        # Create task with CapSolver
        response = requests.post('https://api.capsolver.com/createTask', json={
            'clientKey': CAPSOLVER_API_KEY,
            'task': {
                'type': 'ReCaptchaV2TaskProxyLess',
                'websiteURL': page_url,
                'websiteKey': site_key,
            }
        })
        task_id = response.json().get('taskId')
        if not task_id:
            return ActionResult(success=False, message='Failed to create CapSolver task')

        # Poll for solution
        while True:
            time.sleep(5)
            result_response = requests.post('https://api.capsolver.com/getTaskResult', json={
                'clientKey': CAPSOLVER_API_KEY,
                'taskId': task_id
            })
            result = result_response.json()
            if result.get('status') == 'ready':
                solution = result.get('solution', {}).get('gRecaptchaResponse')
                if solution:
                    await page.evaluate(f"document.getElementById('g-recaptcha-response').innerHTML = '{solution}';")
                    return ActionResult(success=True, message='CAPTCHA solved')
                else:
                    return ActionResult(success=False, message='No solution found')
            elif result.get('status') == 'failed':
                return ActionResult(success=False, message='CapSolver failed to solve CAPTCHA')
    return ActionResult(success=False, message='No CAPTCHA found')

pip install browser-use playwright requests
playwright install

OPENAI_API_KEY=your_openai_api_key
CAPSOLVER_API_KEY=your_capsolver_api_key

import os
import asyncio
import requests
from dotenv import load_dotenv
from browser_use import Agent, Controller, ActionResult
from browser_use.browser import BrowserSession
from browser_use.llm import ChatOpenAI
from playwright.async_api import Page

# Load environment variables from .env file
load_dotenv()

CAPSOLVER_API_KEY = os.getenv('CAPSOLVER_API_KEY')

controller = Controller()

@controller.action('Solve CAPTCHA', domains=['*'])
async def solve_captcha(page) -> ActionResult:
    if await page.query_selector('.g-recaptcha'):
        site_key = await page.evaluate("document.querySelector('.g-recaptcha').getAttribute('data-sitekey')")
        page_url = page.url

        response = requests.post('https://api.capsolver.com/createTask', json={
            'clientKey': CAPSOLVER_API_KEY,
            'task': {
                'type': 'ReCaptchaV2TaskProxyLess',
                'websiteURL': page_url,
                'websiteKey': site_key,
            }
        })

        task_id = response.json().get('taskId')
        print(task_id)
        if not task_id:
            return ActionResult(success=False, message='Failed to create CapSolver task')

        while True:
            await asyncio.sleep(5)
            result_response = requests.post('https://api.capsolver.com/getTaskResult', json={
                'clientKey': CAPSOLVER_API_KEY,
                'taskId': task_id
            })
            result = result_response.json()
            print(f"CAPTCHA result status: {result.get('status')}")
            if result.get('status') == 'ready':
                solution = result.get('solution', {}).get('gRecaptchaResponse')
                print(f"CAPTCHA solution: {solution}")
                if solution:
                    print("Submitting CAPTCHA solution...")
                    # Try both possible input fields for the CAPTCHA token
                    await page.evaluate(f"""
                        // Try the standard g-recaptcha-response field
                        var gRecaptchaResponse = document.getElementById('g-recaptcha-response');
                        if (gRecaptchaResponse) {{
                            gRecaptchaResponse.innerHTML = '{solution}';
                            var event = new Event('input', {{ bubbles: true }});
                            gRecaptchaResponse.dispatchEvent(event);
                        }}
                        
                        // Also try the recaptcha-token field
                        var recaptchaToken = document.getElementById('recaptcha-token');
                        if (recaptchaToken) {{
                            recaptchaToken.value = '{solution}';
                            var event = new Event('input', {{ bubbles: true }});
                            recaptchaToken.dispatchEvent(event);
                        }}
                    """)
                    
                    # Wait a moment for the token to be processed
                    await asyncio.sleep(2)
                    print("Token injected successfully! CAPTCHA solved.")
                    
                    # Method 2: Click submit button directly using the correct selector
                    print("Now clicking submit button...")
                    try:
                        # Use the specific button selector you provided
                        submit_button = await page.query_selector("body > main > form > fieldset > button")
                        if submit_button:
                            await submit_button.click()
                            print("? Submit button clicked successfully!")
                        else:
                            print("? Submit button not found!")
                            return ActionResult(success=False, message='Submit button not found')
                    except Exception as e:
                        print(f"? Error clicking submit button: {e}")
                        return ActionResult(success=False, message=f'Error clicking submit: {e}')
                    
                    print("CAPTCHA solved and form submitted successfully!")
                    return ActionResult(success=True, message='CAPTCHA solved and form submitted')
                   
                else:
                    return ActionResult(success=False, message='No solution found')
            elif result.get('status') == 'failed':
                return ActionResult(success=False, message='CapSolver failed to solve CAPTCHA')
    return ActionResult(success=False, message='No CAPTCHA found')

llm = ChatOpenAI(model="gpt-4o-mini")

async def main():
    try:
        print("? Starting browser-use CAPTCHA solver agent...")
        
        # Simple task instruction for CAPTCHA solving and form submission
        task = """Navigate to https://recaptcha-demo.appspot.com/recaptcha-v2-checkbox.php and solve the CAPTCHA, then submit the form.

STEP 1: Navigate to the reCAPTCHA demo page: https://recaptcha-demo.appspot.com/recaptcha-v2-checkbox.php

STEP 2: Wait for the page to fully load. You should see a form with input fields and a reCAPTCHA checkbox.

STEP 3: Look for a reCAPTCHA element (usually a checkbox that says "I'm not a robot" or similar).

STEP 4: Use the "solve_captcha" action to automatically solve the CAPTCHA and submit the form.

STEP 5: Report the final result.

Note: The solve_captcha action will handle both solving the CAPTCHA and submitting the form automatically."""
        
        # Create browser session first
        browser_session = BrowserSession()
        
        # Create agent with the browser session
        agent = Agent(
            task=task, 
            llm=llm, 
            controller=controller,
            browser_session=browser_session
        )
        
        print("? Running CAPTCHA solver agent...")
        result = await agent.run()
        print(f"? Agent completed: {result}")
        
        # Keep browser open to see results
        input('Press Enter to close the browser...')
        await browser_session.close()
        
    except Exception as e:
        print(f"? Error: {e}")

if __name__ == "__main__":
    asyncio.run(main())