AI that drives
your browser

from browser_use import Agent, Browser
from browser_use import ChatOpenAI

agent = Agent(
    task="Go to HackerNews and find the top 3 AI stories",
    llm=ChatOpenAI(model="gpt-4o"),
)
result = agent.run_sync()
print(result.final_result())

from browser_use import Agent, Browser, BrowserProfile
from browser_use import ChatAnthropic

# Production-safe browser config
profile = BrowserProfile(
    headless=True,
    allowed_domains=["your-app.com", "*.your-app.com"],
)

agent = Agent(
    task="""
    1. Go to https://your-app.com/login
    2. Login with test credentials
    3. Navigate to checkout, add an item
    4. Verify payment form loads correctly
    5. Report any errors or broken elements
    """,
    llm=ChatAnthropic(model="claude-sonnet-4-20250514"),
    browser=Browser(browser_profile=profile),
)

# Run on a cron schedule for continuous monitoring
result = await agent.run(max_steps=50)

from pydantic import BaseModel
from browser_use import Agent, ChatOpenAI

class ProductData(BaseModel):
    name: str
    price: float
    rating: float
    in_stock: bool

agent = Agent(
    task="Extract all products from the first page",
    llm=ChatOpenAI(model="gpt-4o"),
    output_model_schema=ProductData,
)

# Returns typed, validated data — not messy HTML
products = await agent.run()

from browser_use import Agent, Tools, ChatGoogle

tools = Tools()

@tools.action(description="Send Slack alert when issue found")
def send_alert(message: str, severity: str) -> str:
    # Your alerting logic here
    slack.post(channel="#alerts", text=f"[{severity}] {message}")
    return "Alert sent"

agent = Agent(
    task="Monitor checkout flow and alert on any failures",
    llm=ChatGoogle(model="gemini-2.0-flash"),
    tools=tools,
)