Amazon best items web scraping with the help of Selenium

The goal here was to systematically gather and analyze the information regarding the best-selling items available on the Amazon website. This process involves developing a program that can navigate through various product categories on the platform, such as electronics, clothing, home goods, and books, among others.

To achieve this, the program needs to be designed with web scraping capabilities, allowing it to extract relevant data points from the Amazon pages. This includes details such as product names, prices, ratings, number of reviews, and possibly the product's rank within its category. The program will be required to handle multiple requests efficiently, ensuring that it adheres to Amazon's terms of service while collecting the necessary information.

Once the data is collected, it will be structured and organized into a format suitable for analysis. The collected information will then be saved in a CSV (Comma-Separated Values) file, which is a widely used format for storing tabular data. This format allows for easy manipulation and analysis using various data analysis tools.

The CSV file will serve as a valuable resource for understanding market trends, consumer preferences, and competitive analysis. It will enable users to identify which products are currently popular and may provide insights into seasonal trends or shifts in consumer behavior. Furthermore, this data can be utilized for making informed decisions regarding inventory management, marketing strategies, and product development in a business context.

The code and steps are provided below or you can find it on Github