Spaces:
Sleeping
Sleeping
File size: 1,634 Bytes
d7b3d84 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 |
"""
Getting Started Example 4: Multi-Step Task
This example demonstrates how to:
- Perform a complex workflow with multiple steps
- Navigate between different pages
- Combine search, form filling, and data extraction
- Handle a realistic end-to-end scenario
This is the most advanced getting started example, combining all previous concepts.
Setup:
1. Get your API key from https://cloud.browser-use.com/new-api-key
2. Set environment variable: export BROWSER_USE_API_KEY="your-key"
"""
import asyncio
import os
import sys
# Add the parent directory to the path so we can import browser_use
sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))))
from dotenv import load_dotenv
load_dotenv()
from browser_use import Agent, ChatBrowserUse
async def main():
# Initialize the model
llm = ChatBrowserUse()
# Define a multi-step task
task = """
I want you to research Python web scraping libraries. Here's what I need:
1. First, search Google for "best Python web scraping libraries 2024"
2. Find a reputable article or blog post about this topic
3. From that article, extract the top 3 recommended libraries
4. For each library, visit its official website or GitHub page
5. Extract key information about each library:
- Name
- Brief description
- Main features or advantages
- GitHub stars (if available)
Present your findings in a summary format comparing the three libraries.
"""
# Create and run the agent
agent = Agent(task=task, llm=llm)
await agent.run()
if __name__ == '__main__':
asyncio.run(main())
|