An open-source alternative to PayPal Honey that automatically finds and applies the best coupon codes while you shop, without collecting your data or stealing money from affiliate links.
- 🔒 Privacy First: Unlike other extensions, we don't track your shopping habits or sell your data to advertisers
- 💰 No Affiliate Stealing: We don't make money from your purchases or show ads in the extension
- ⚡ Lightning Fast: Instantly tests coupon codes in the background without slowing down your shopping experience
- 🌐 Community Driven: Codes are crowdsourced by the community - when you add working codes, you help everyone save money
- 🔄 Auto-Cleanup: Expired or invalid codes are automatically detected and removed to keep the database fresh
- Maple runs in the background while you shop
- Automatically detects when you reach a checkout page
- Tests available coupon codes in milliseconds
- Applies the best discount automatically
- Allows you to contribute new working codes to help others
- Clone this repository
- Install dependencies:
cd backend pip install -r requirements.txt
- Run the backend server:
python app.py
- Load the extension in Chrome:
- Open Chrome and go to
chrome://extensions/
- Enable "Developer mode"
- Click "Load unpacked"
- Select the
extension
directory
- Open Chrome and go to
Or install directly from the Chrome Web Store (coming soon).
While this extension is completely free and ad-free, you can support its development by:
- ⭐ Starring this repository
- 🐛 Reporting bugs and suggesting features
- 💻 Contributing code improvements
- ☕ Buying us a coffee
- Fork the repository
- Create your feature branch (
git checkout -b feature/AmazingFeature
) - Commit your changes (
git commit -m 'Add some AmazingFeature'
) - Push to the branch (
git push origin feature/AmazingFeature
) - Open a Pull Request
This project is open source and available under the BSD 3-Clause License.
- Built with Flask and SQLAlchemy for the backend
- Chrome Extension APIs for the frontend
- Community contributors who help maintain the coupon database