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96f39b3c75
Relocate deprecated doc sections from customize/ to legacy/ under Customize OS nav. Add redirects for all old paths and update cross-references in AGENTS.md and related mdx files. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
60 lines
1.6 KiB
Plaintext
60 lines
1.6 KiB
Plaintext
---
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title: "Example: Extract Products"
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description: "Collect thousands of products and save to CSV"
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icon: "database"
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---
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This example shows how to extract large amounts of product data from an e-commerce site and save it to files.
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## Use Case
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Extract 1000s of products from multiple categories with:
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- Product URLs
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- Names and descriptions
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- Original and sale prices
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- Discount percentages
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Save everything to a CSV file for further analysis.
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## Code
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```python
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import asyncio
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from browser_use.code_use import CodeAgent
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async def main():
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task = """
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Go to https://www.flipkart.com.
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Collect approximately 50 products from:
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1. Books & Media - 15 products
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2. Sports & Fitness - 15 products
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3. Beauty & Personal Care - 10 products
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Save to products.csv
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"""
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agent = CodeAgent(task=task)
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await agent.run()
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asyncio.run(main())
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```
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## How It Works
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1. **Agent navigates** to the e-commerce site
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2. **Writes JavaScript** to extract product data from each page
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3. **Loops through categories** collecting products
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4. **Stores in variables** that persist across steps
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5. **Saves to CSV** using pandas or csv module
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6. **Returns deterministic code** you can modify and rerun
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## Key Benefits
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- **Function reuse:** Extraction code is written once, used many times
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- **Scale:** Easily collect 100s or 1000s of items
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- **Deterministic:** The generated Python code can be saved and rerun
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- **Data processing:** Built-in pandas support for cleaning and transforming data
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[View full example on GitHub →](https://github.com/browser-use/browser-use/blob/main/examples/code_agent/extract_products.py)
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