E-commerce Data Scraper Using Selenium and Beautiful Soup

Abstract

The E-commerce Scrapper automates price comparison across Amazon and Flipkart via a Telegram bot and web platform, retrieving real-time prices, ratings, and purchase links using web scraping techniques. This system eliminates manual price checks, saving users time and ensuring they get the best deals available at any moment.

Built with Python libraries like python-telegram-bot, aiohttp, and beautifulsoup4, it extracts and processes data efficiently, offering sorting, navigation, and CSV storage. The comparison engine matches similar products, highlights the best-priced option, and allows users to explore product details directly on their preferred platform.

The web version extends accessibility, allowing multi-device price comparisons beyond Telegram, making it easier for users to shop across different devices. Despite anti-scraping challenges and website structure dependencies, the system remains scalable and adaptable through continuous updates and refinements.

Future enhancements include API integration, AI-driven recommendations, price tracking alerts, and expanded support for more e-commerce platforms. Machine learning will further refine product matching and optimize shopping suggestions based on user behavior and preferences. By automating price comparison and providing multi-platform access, the bot and website enhance convenience, making online shopping smarter, more efficient, and cost-effective for consumers and businesses alike.