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Welcome to the ECom Intel Wiki! This documentation covers everything you need to know about using and understanding the ECom Intel application.
ECom Intel is a powerful Python application that analyzes product reviews from e-commerce websites. It combines Firecrawl for intelligent web scraping with OpenAI GPT-4o-mini for AI-powered sentiment analysis and insights generation. The application features a beautiful Streamlit dashboard with caching capabilities.
| Feature | Description |
|---|---|
| 🌐 Web Scraping | Uses Firecrawl to search and scrape product reviews from multiple sources |
| 🤖 AI Analysis | Leverages OpenAI GPT-4o-mini for sentiment analysis and insights generation |
| 💾 Data Caching | SQLite database stores results to avoid repeated API calls |
| 📊 Interactive Dashboard | Beautiful Streamlit interface with charts and visualizations |
| ⚡ Real-time Progress | Live tracking of scraping and analysis progress |
| 🔍 Smart Insights | Extracts pros, cons, key themes, and actionable recommendations |
ECom Intel works best with:
- ✅ Amazon products
- ✅ eBay listings
- ✅ Major e-commerce platforms
- ✅ Review websites
The application intelligently searches for reviews related to any product URL you provide.
| Page | Description |
|---|---|
| Home | Overview and introduction (you are here) |
| Getting-Started | Installation, configuration, and usage guide |
| Architecture-and-Tools | Technical architecture, components, and tools used |
- All data is stored locally in SQLite database
- No data is shared with third parties
- API keys are kept secure via environment variables
- Reviews are processed anonymously
- Repository: ECom-Intel on GitHub
- Issues: Report bugs or request features
- Firecrawl Docs: firecrawl.dev
- OpenAI Docs: platform.openai.com/docs
- Support for more e-commerce platforms
- Product comparison feature
- Export results to PDF/CSV
- Email notifications for analysis completion
- Multi-language support
- Advanced filtering options
- Trend analysis over time
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