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https://github.com/browser-use/browser-use
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Update README and examples to use the new ChatBrowserUse LLM and BrowserUse API key for authentication. This simplifies setup and aligns with the new API. Co-authored-by: mailmertunsal <mailmertunsal@gmail.com>
56 lines
1.6 KiB
Python
56 lines
1.6 KiB
Python
"""
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Getting Started Example 4: Multi-Step Task
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This example demonstrates how to:
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- Perform a complex workflow with multiple steps
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- Navigate between different pages
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- Combine search, form filling, and data extraction
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- Handle a realistic end-to-end scenario
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This is the most advanced getting started example, combining all previous concepts.
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Setup:
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1. Get your API key from https://cloud.browser-use.com/dashboard/api
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2. Set environment variable: export BROWSER_USE_API_KEY="your-key"
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"""
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import asyncio
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import os
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import sys
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# Add the parent directory to the path so we can import browser_use
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sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))))
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from browser_use import Agent
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from browser_use.llm import ChatBrowserUse
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async def main():
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# Initialize the model
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llm = ChatBrowserUse()
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# Define a multi-step task
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task = """
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I want you to research Python web scraping libraries. Here's what I need:
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1. First, search Google for "best Python web scraping libraries 2024"
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2. Find a reputable article or blog post about this topic
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3. From that article, extract the top 3 recommended libraries
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4. For each library, visit its official website or GitHub page
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5. Extract key information about each library:
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- Name
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- Brief description
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- Main features or advantages
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- GitHub stars (if available)
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Present your findings in a summary format comparing the three libraries.
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"""
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# Create and run the agent
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agent = Agent(task=task, llm=llm)
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await agent.run()
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if __name__ == '__main__':
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asyncio.run(main())
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