TheAgenticBrowser is an open-source AI agent designed for efficient web automation and data scraping. Built in Python, it empowers users to streamline their data collection processes with ease and flexibility.
claude install TheAgenticAI/TheAgenticBrowserhttps://github.com/TheAgenticAI/TheAgenticBrowser
Automate the extraction of product prices and specifications from multiple e-commerce websites for market analysis.
Collect competitive intelligence by scraping data from competitor websites to inform business strategies.
Gather leads from online directories by automating the search and extraction of contact information.
Monitor price changes on e-commerce sites to track market trends and adjust pricing strategies accordingly.
claude install TheAgenticAI/TheAgenticBrowsergit clone https://github.com/TheAgenticAI/TheAgenticBrowserCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
I need to scrape data from [WEBSITE_URL] using TheAgenticBrowser. The data I need includes [DATA_POINTS] from [PAGE_ELEMENTS]. Can you provide a Python script to automate this process, including error handling and data storage in [STORAGE_FORMAT]?
# 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.Your one-stop shop for church and ministry supplies.
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