ImageScrapper is a versatile Python-based web scraping tool designed for fetching and downloading images from various websites. Leveraging the power of Flask, Requests, Flask-CORS, Logging, and Beautiful Soup, ImageScrapper provides a robust and efficient solution for your image scraping needs.
- Web Scraping: ImageScrapper extracts images from different websites by providing the target URL.
- Flask API: Built on the Flask framework, offering a RESTful API for seamless integration into your projects.
- CORS Support: Flask-CORS is implemented to facilitate Cross-Origin Resource Sharing, enabling API access from different domains.
- Logging: Comprehensive logging ensures transparency and aids in troubleshooting during the scraping process.
- Beautiful Soup: HTML parsing is performed using Beautiful Soup, simplifying navigation and search within the HTML tree.
-
Clone the repository:
git clone https://github.com/fab-c14/ImageScraper.git cd ImageScraper -
Install dependencies:
pip install -r requirements.txt
-
Run the application:
python app.py
The server will be accessible at http:https://localhost:5000.
-
Make a POST request:
curl -X POST -H "Content-Type: application/json" -d '{"url": "https://example.com"}' http:https://localhost:5000/scrape
-
Download Images:
The scraped images will be available for download in the
imagesdirectory.
You can customize ImageScrapper's behavior by modifying the parameters in the app.py file.
- Fab-c14 - Project Lead
This project is licensed under the MIT License - see the LICENSE file for details.
Special thanks to the contributors and the open-source community.
Feel free to contribute, report issues, or suggest improvements! Happy coding! 🚀