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:
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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.
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Install the required dependencies mentioned in the website's README file. You can use the
requirements.txtfile in the project directory to install common dependencies. -
Follow the instructions provided in the website's README file to configure any necessary parameters or settings.
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Run the main script or command mentioned in the website's README file to start the scraping process.
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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:
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Fork the repository.
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Create a new branch for your feature or bug fix.
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Make the necessary changes and commit your code.
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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.