Skip to main content

Add Browser Capabilities to AI with Browser Use

Browser Use is a Python library that allows AI agents to control a browser. By integrating Browserless with Browser Use, you can provide your AI applications with powerful web browsing capabilities without managing browser infrastructure.

Prerequisites

  • Python 3.11 or higher
  • An active Browserless API Token (available in your account dashboard)

Step-by-Step Setup

1. Get your API Key

Go to your Browserless Account Dashboard and copy your API token.

Then set the BROWSERLESS_API_TOKEN environment variable in your .env file:

BROWSERLESS_API_TOKEN=your-token-here
OPENAI_API_KEY=your-openai-key-here
2. Create a virtual environment

Set up a Python virtual environment to manage your dependencies:

uv venv --python 3.11
source .venv/bin/activate # On Windows: .venv\Scripts\activate
3. Install required packages

Install Browser Use and other required packages:

uv add browser-use python-dotenv
4. Create the main.py file

Create a new file named main.py with the following complete code:

from browser_use import Agent, BrowserSession
from browser_use.llm import ChatOpenAI
from dotenv import load_dotenv
import os
import asyncio

load_dotenv()

async def main():
# Get the token from environment variables
browserless_token = os.getenv('BROWSERLESS_API_TOKEN')
if not browserless_token:
raise ValueError("BROWSERLESS_API_TOKEN environment variable is required")

browser_session = BrowserSession(cdp_url=f"wss://production-sfo.browserless.io?token={browserless_token}")

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

agent = Agent(
task="find me the top cheapest trainer on ebay.co.uk",
llm=llm,
browser_session=browser_session
)
result = await agent.run()
print(result)

if __name__ == "__main__":
asyncio.run(main())
5. Run your application

Run your application with the following command:

python main.py

You should see output indicating that the browser is initialized and the agent is running.

How It Works

1. Connection Setup: Browser Use connects to Browserless using the WebSocket endpoint with your API token 2. Agent Configuration: The AI agent is configured with a task and a language model 3. Automation: The agent uses the browser to navigate and interact with websites 4. LLM Integration: The agent leverages an LLM (like GPT-4o) to interpret web content and make decisions

Additional Configuration

Proxy Support

You can enable a residential proxy for improved website compatibility:

browser_session = BrowserSession(cdp_url=f"wss://production-sfo.browserless.io?token={os.environ['BROWSERLESS_API_TOKEN']}&proxy=residential")

Browser Session Configuration

Customize the browser session with additional settings:

from browser_use import BrowserSession
from browser_use.browser import BrowserProfile

browser_session = BrowserSession(
cdp_url=f"wss://production-sfo.browserless.io?token={os.environ['BROWSERLESS_API_TOKEN']}",
browser_profile=BrowserProfile(
user_agent="Custom User Agent",
viewport_size={"width": 1920, "height": 1080},
headless=True,
)
)

Advanced Features

CDP Events and LiveURL

Browserless provides powerful Chrome DevTools Protocol (CDP) events that can enhance your browser automation. Here are some key features:

  1. LiveURL for User Interaction

    # Create a CDP session
    cdp = await page.createCDPSession()

    # Generate a LiveURL for user interaction
    response = await cdp.send('Browserless.liveURL', {
    "timeout": 600000 # 10 minutes timeout
    })
    live_url = response["liveURL"]
    print(f"Share this URL with users: {live_url}")

    # Wait for user to complete interaction
    future = asyncio.Future()
    cdp.on('Browserless.liveComplete', lambda: future.set_result(True))
    await future

    For more details, see our LiveURL Documentation.

  2. Captcha Detection

    # Listen for captcha detection
    cdp.on('Browserless.captchaFound', lambda: print('Captcha detected!'))

    # Solve captcha automatically
    response = await cdp.send('Browserless.solveCaptcha', {
    "appearTimeout": 20000
    })
    solved, error = response.get("solved"), response.get("error")

    Learn more about handling captchas in our Hybrid Automation Guide.

  3. Session Recording

    # Start recording the session
    await cdp.send("Browserless.startRecording")

    # ... perform actions ...

    # Stop recording and save
    response = await cdp.send("Browserless.stopRecording")
    with open("recording.webm", "wb") as f:
    f.write(response.value)

    See our Recording Documentation for more details.

Complete Example with CDP Events

Here's a complete example that combines LiveURL, captcha handling, and session recording:

from browser_use import Agent, BrowserSession
from browser_use.llm import ChatOpenAI
import asyncio
import os

async def main():
browserless_token = os.getenv('BROWSERLESS_API_TOKEN')
browser_session = BrowserSession(cdp_url=f"wss://production-sfo.browserless.io?token={browserless_token}")

try:
# Start the browser session
await browser_session.start()
page = await browser_session.get_current_page()

# Create CDP session
cdp = await page.createCDPSession()

# Start recording
await cdp.send("Browserless.startRecording")

# Generate LiveURL
response = await cdp.send('Browserless.liveURL', {
"timeout": 600000
})
live_url = response["liveURL"]
print(f"Share this URL with users: {live_url}")

# Handle captcha if detected
cdp.on('Browserless.captchaFound', lambda: print('Captcha detected!'))

# Wait for user interaction
future = asyncio.Future()
cdp.on('Browserless.liveComplete', lambda: future.set_result(True))
await future

# Stop recording and save
response = await cdp.send("Browserless.stopRecording")
with open("recording.webm", "wb") as f:
f.write(response.value)

finally:
await browser_session.close()

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

For more information about CDP events and features, please refer to:

Advanced Usage

For more advanced usage scenarios, please refer to: