Found 7 repositories(showing 7)
jordolang
A powerful Amazon data scraper with CLI integration 🖥️, bot avoidance 🛡️, error detection 🚨, multi-image downloads 📸, and queue management 📋. Includes batch scripts for Windows 🪟 and bash scripts for Linux/Mac 🐧🍎. Coming soon: web UI 🌐, database integration 🗄️, .csv/.json exports 📊, and Facebook Marketplace listing converter 📦!
This Amazon scraper is a project I developed with Scrapy to collect detailed product information and customer reviews from Amazon. It’s designed to be fast, scalable, and reliable. Perfect for anyone doing market research, tracking competitors, or refining pricing strategies based on real user feedback.
Krishan153
Amazon is always combating web scrapers to ensure that bots are unable to pull data from their web pages. Here is the newest iteration to a webscraper built with BeautifulSoup that is able to pull data from an Amazon product page and send the user an email if the price is below the user's buying limit. Perfect for the upcoming holidays to see if gifts are within budget!
abhisheksharma67185-pixel
Amazon Web Scraper fetches Amazon India’s homepage using requests + BeautifulSoup. Basic CLI foundation for product price tracking and e-commerce data extraction. Handles HTTP requests with error checking. Install: pip install requests beautifulsoup4 . Run: python scraper.py . Perfect web scraping starter project.
tuhinmallick
Track Amazon product prices automatically. Built for Apify Store - monitor price changes, get product details, and export data. Perfect for deal hunters, retailers, and price comparison tools. Easy to use web scraper with pay-per-result pricing.
Shelby1317
Track Amazon product prices automatically. Built for Apify Store - monitor price changes, get product details, and export data. Perfect for deal hunters, retailers, and price comparison tools. Easy to use web scraper with pay-per-result pricing.
Jevxtn
A Python-based web scraper using BeautifulSoup to extract product information from Amazon. This project captures essential details like product titles, prices, and ratings, providing a tool for market analysis and price comparisons. Perfect for learning web scraping techniques and data extraction.
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