tanujgupta18 / Fashion-Website-Scraper

Developed a Django-based Fashion Website Scraper project to streamline data extraction from fashion websites, facilitating image retrieval, price tracking, and description aggregation.

Fashion Website Scraper

This is a web scraping application built with Python and Django that allows users to scrape product data from various fashion websites.

Supported 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/

Features

• 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.

Installation

1. Clone the repository to your local machine:

   git clone https://github.com/tanujgupta18/Fashion-Website-Scraper.git

2. Navigate to the project directory:

   cd Fashion-Website-Scraper

3. Install the required dependencies:

   pip install -r requirements.txt

Usage

1. Run the Django development server:

   python manage.py runserver

2. Open your web browser and navigate to http://127.0.0.1:8000/ to access the application.

3. Choose a fashion website from the available options and enter the URL you want to scrape.

4. Click the "Scrape" button to initiate the scraping process.

5. View the scraped data in a tabular format, including product name, price, discount, image, and more.

Contributing

Contributions are welcome! If you would like to contribute to this project, please follow these steps:

1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Make your changes and commit them with descriptive messages.
4. Push your changes to your fork.
5. Submit a pull request detailing the changes you made.