Niyazi Coban

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**Smart Normalization:** Automatically converts special characters to their English equivalents (e.g., `Çilek` → `cilek`, `Ağaç` → `agac`) and lowercases all output. Perfect for generating standard word lists for games or datasets. - **Multi-Length Filtering:** Select multiple word lengths simultaneously (3, 4, 5, 6, 7, 8) to capture exactly what you need. - **Auto-Navigation Mode:** Turn on Auto Mode to let the extension automatically scan the current page and randomly navigate to internal links, building a massive dataset while you sit back. - **Tab Isolation:** Auto-navigation is isolated to the specific tab where it's enabled, letting you multitask without interference. - **Regex-Powered Precision:** Uses robust regex patterns to correctly identify words across languages, ensuring no word is cut off (e.g., handles Turkish boundaries correctly). - **Clipboard Ready:** Copy your entire unique list to the clipboard with a single click. ## 📦 Installation Since Wordstract is an open-source developer tool, you can install it directly from the source: 1. **Clone the Repository:** ```bash git clone https://github.com/niyoseris/wordstract.git ``` 2. **Open Chrome Extensions:** - Navigate to `chrome://extensions/` in your browser. - Enable **Developer mode** in the top right corner. 3. **Load Extension:** - Click **Load unpacked**. - Select the folder where you cloned this repository. 4. **Pin & Use:** Pin the Wordstract icon to your toolbar for easy access! ## 🛠 Usage 1. **Manual Scan:** - Open the extension popup. - Select the word lengths you want to capture (e.g., 5 and 6). - Click **Scan Page**. - The list will populate with unique, normalized words found on the page. 2. **Auto Mode:** - Toggle **Auto Navigation Mode**. - The extension will scan the current page and then automatically simulate a click on a random internal link after a short delay. - It will continue this process, accumulating words across pages until you stop it. ## 🤝 Contributing Contributions are welcome! If you have ideas for new filtering logic or better crawling strategies: 1. Fork the project. 2. Create your feature branch (`git checkout -b feature/AmazingFeature`). 3. Commit your changes (`git commit -m 'Add some AmazingFeature'`). 4. Push to the branch (`git push origin feature/AmazingFeature`). 5. Open a Pull Request. ## 📄 License This project is open-source and available under the [MIT License](LICENSE).

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