This is a web scraping application built with Python and Django that allows users to scrape product data from various fashion websites.
- Levi's India: https://www.levi.in/
- Nyka Fashion: https://www.nykaafashion.com/
- Pepe Jeans: https://www.pepejeans.com/
- Tata Cliq: https://www.tatacliq.com/
- Scrapes product data including name, price, discount, image URL, and more from supported fashion websites.
- Provides a user-friendly interface for entering the URL to scrape and viewing the scraped data.
- Modal window for displaying product images in a larger view.
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Clone the repository to your local machine:
git clone https://github.com/tanujgupta18/Fashion-Website-Scraper.git
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Navigate to the project directory:
cd Fashion-Website-Scraper -
Install the required dependencies:
pip install -r requirements.txt
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Run the Django development server:
python manage.py runserver
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Open your web browser and navigate to http://127.0.0.1:8000/ to access the application.
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Choose a fashion website from the available options and enter the URL you want to scrape.
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Click the "Scrape" button to initiate the scraping process.
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View the scraped data in a tabular format, including product name, price, discount, image, and more.
Contributions are welcome! If you would like to contribute to this project, please follow these steps:
- Fork the repository.
- Create a new branch for your feature or bug fix.
- Make your changes and commit them with descriptive messages.
- Push your changes to your fork.
- Submit a pull request detailing the changes you made.