Scrape every WebP element with ease using the new WebP-Webscraper!
WebP-Webscraper is a Python-based tool designed to efficiently scrape and download WebP images from websites. Utilizing the power of Selenium for web scraping and Tkinter for a user-friendly interface, this tool simplifies the process of collecting WebP images from various web sources.
- Efficient Web Scraping: Leverages Selenium to navigate and scrape web pages.
- User-Friendly Interface: Built with Tkinter, making it easy to interact with the program.
- Image Downloading: Automatically downloads and saves WebP images to your local system.
- Customizable: Offers options to specify target URLs and storage locations.
- Setup: Ensure you have Python installed on your system. Install necessary dependencies by running
pip install -r requirements.txt(ensure you have this file listing all required packages likeselenium,requests, etc.). - Launching the Application: Run the script using Python. A Tkinter window will appear for interaction.
- Input URL: Enter the URL of the website you wish to scrape in the provided field.
- Start Scraping: Click the 'Scrape' button to begin. The tool will navigate the page and collect WebP images.
- Downloading Images: The scraped WebP images will be automatically downloaded and saved in a specified folder.
- View Results: Check the designated download folder to access your images.
- Python 3.x
- Selenium
- Tkinter
- Requests
This tool is intended for educational purposes and personal projects. Please respect website terms of service and use responsibly.
Contributions to the WebP-Webscraper are welcome! Feel free to fork the repository, make improvements, and submit pull requests.