A Product Scraper from eCommerce websites automatically extracts product details like name, price, and availability from online stores for analysis, comparison, or inventory tracking. It uses web scraping techniques and intelligent parsing logic to gather structured data from dynamic web pages, even those with JavaScript-rendered content. This tool is essential for businesses, researchers, and marketers who need up-to-date product data at scale from platforms like Amazon, Flipkart, or Shopify.
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The main goal of a product scraper is to automate the tedious process of manually collecting product information from multiple online sources. It enables real-time tracking of market trends, competitor pricing, and product availability, giving businesses a competitive edge. The system is designed to handle rate limits, pagination, and anti-bot mechanisms while providing clean and structured output in formats like JSON or CSV. Its purpose is to support data-driven decision-making in eCommerce intelligence, price monitoring, and catalog management.
Automatically pulls product titles, prices, ratings, images, availability, and descriptions from live eCommerce platforms. Ensures up-to-date datasets for research, analysis, or automation.
Supports scraping from major websites like Amazon, Flipkart, eBay, and others using modular parsers. Adapts to site structure changes and dynamic content rendering.
Exports the scraped data into structured formats such as JSON, CSV, or Excel for easy processing and integration. Ideal for reporting, analysis, or feeding into other systems.
Integrates headers, user agents, delays, and rotating proxies to bypass IP bans and CAPTCHA protections. Ensures high success rates even on protected platforms.
Can be configured to run on intervals via CRON or task schedulers for continuous data scraping and updates. Useful for price monitoring, deal alerts, or competitor tracking.
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