Overview
This workflow automates the process of scraping Amazon product data, leveraging Brightdata for web scraping, GPT-4 via OpenRouter for intelligent data extraction, and Google Sheets for structured data storage. It streamlines product research and analysis for e-commerce and marketing teams.
Key Features
- Automated Scraping: Initiates scraping of Amazon product URLs using HTTP requests and batch processing.
- AI-Powered Analysis: Utilizes GPT-4 (OpenRouter) and structured output parsing to extract and interpret product details from raw HTML.
- Data Cleaning & Structuring: Cleans HTML content and parses relevant product information for accuracy.
- Seamless Integration: Automatically adds extracted data to Google Sheets for easy access and further analysis.
Benefits
- Time Savings: Eliminates manual data collection and entry, accelerating product research workflows.
- Enhanced Accuracy: AI-driven extraction reduces errors and ensures consistent, high-quality data.
- Scalability: Processes multiple product URLs in batches, supporting large-scale research needs.
Use Cases
- E-commerce Market Research: Quickly gather and analyze competitor product listings.
- Pricing Analysis: Monitor and compare product prices across Amazon listings.
- Content Management: Maintain up-to-date product databases for marketing or sales teams.
Integrations
- Brightdata: For robust web scraping.
- OpenRouter (GPT-4): For advanced data extraction and analysis.
- Google Sheets: For organized data storage and sharing.
