TheAgenticBrowser

# Web Scraping Script for TheAgenticBrowser

```python
import theagenticbrowser as tab

# Initialize the browser agent
agent = tab.Agent()

# Define the target website and data points
website_url = "https://example.com/products"
data_points = ["product_name", "price", "rating"]
page_elements = {
    "product_name": "h2.product-title",
    "price": "span.price",
    "rating": "div.rating"
}

# Configure data storage
storage_format = "csv"
storage_path = "./scraped_data.csv"

# Execute the scraping task
try:
    agent.scrape(
        url=website_url,
        data_points=data_points,
        page_elements=page_elements,
        storage_format=storage_format,
        storage_path=storage_path
    )
    print("Data scraping completed successfully.")
except Exception as e:
    print(f"An error occurred: {e}")
```

## Key Features of the Script
- **Error Handling**: The script includes a try-except block to manage potential errors during the scraping process.
- **Data Storage**: The scraped data is stored in a CSV file for easy access and analysis.
- **Customizable Data Points**: Users can specify the data points and page elements they need to scrape.
- **Flexible Storage Formats**: The script supports multiple storage formats, including CSV, JSON, and SQL databases.