This repository contains an 'Amazon Auto Web Scraper'. It is an automated tool designed to scrape product information from Amazon. The scraper collects data such as product name, price, rating, and more. The goal of this project is to facilitate data-driven decision making in e-commerce and retail industries by providing easy access to large-scale, real-time product data.
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Web Navigation: The bot was programmed to automatically navigate through Amazon’s complex web structure, handling pagination and dynamically loaded content.
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Data Extraction: The bot was able to extract key details from product pages such as the product name, price, rating, and number of reviews.
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Data Cleaning: The extracted data was then cleaned and preprocessed, removing any irrelevant information and formatting the data in a structured manner.
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Automation: The entire process was automated, allowing the bot to scrape data from Amazon on a regular schedule without any manual intervention.
This project was a great opportunity to delve into the world of web scraping and automation. It was particularly interesting to see how web scraping can be used to gather large amounts of data quickly and efficiently.
I’m excited about the potential applications of this project and look forward to exploring more ways to leverage automation in the future.
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