Amazon Products Scraping with Selenium

Overview

This project demonstrates how to scrape product information from Amazon using Python and Selenium. The scraped data includes product descriptions, prices, image URLs, ratings, and the total number of ratings. This README provides an overview of the project, instructions for running the code, and details about the data collected.

Prerequisites

Before running the code, make sure you have the following prerequisites installed:

• Python (3.7 or higher)
• Selenium
• Chrome WebDriver
• pandas
• numpy

Web Scraping, Simplified

Our powerful tool leverages the Python Selenium library to effortlessly extract essential product information from Amazon, including:

• Product Descriptions
• Prices
• Image URLs
• Ratings
• Total Ratings

You can install these dependencies using pip:

pip install selenium pandas numpy

Usage

The main script, amazon_product_scraper.ipynb, demonstrates how to use Selenium to scrape product information from Amazon. The code is organized into sections for retrieving product details, such as descriptions, prices, images, ratings, and total ratings. The scraped data is then saved to a CSV file for further analysis.

You can customize the script to scrape specific product categories or search results by modifying the Amazon search URL within the code.

Output

The scraped data is stored in a CSV file named Amazon Product Scraping.csv. This file contains columns for product descriptions, prices, image URLs, ratings, and total ratings.

Contributing

If you would like to contribute to this project or report issues, please open an issue or create a pull request.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Acknowledgments

• This project was inspired by the need to gather Amazon product data for analysis and research purposes.
• Special thanks to the open-source community for developing the Selenium library.