This project allows you to scrape products from various Indian e-commerce websites. It consists of multiple Python scripts, each dedicated to scraping a specific website. You can find detailed instructions for scraping each website in the respective README.md files within their respective directories.

To scrape a particular website, follow these general steps:

1. Open the README file in the directory corresponding to the desired e-commerce website. The README file will provide specific instructions for scraping that website.

2. Install the required dependencies mentioned in the website's README file. You can use the requirements.txt file in the project directory to install common dependencies.

3. Follow the instructions provided in the website's README file to configure any necessary parameters or settings.

4. Run the main script or command mentioned in the website's README file to start the scraping process.

5. The scraped data will be saved to a CSV file or another format mentioned in the website's README file. Check the respective directory for the output files.

Repeat these steps for each e-commerce website you want to scrape.

Contributions to this project are welcome. If you would like to contribute, please follow the general steps:

1. Fork the repository.

2. Create a new branch for your feature or bug fix.

3. Make the necessary changes and commit your code.

4. Submit a pull request describing your changes.

Please note that web scraping may be against the terms of service of some websites. Make sure to check the terms of service of the e-commerce websites you intend to scrape before using this project. The authors of this project are not responsible for any misuse or violation of third-party terms of service. Use this project responsibly and respect the rights of website owners.