E-commerce Data Scraping is a technical process where bots (web crawlers) systematically browse online stores to collect structured data at scale. This data can include product titles, descriptions, specifications, images, prices, customer reviews, ratings, inventory status, and seller information. The extracted data is cleaned, normalized, and stored in databases for analysis. This practice is the foundational data-gathering method for competitive intelligence, price monitoring, market research, and sentiment analysis. It allows businesses to aggregate information from hundreds of sources simultaneously, providing the raw material needed to generate actionable insights on market trends, competitor strategies, and customer preferences.
Additional resources:
Guide to Ecommerce Scraping
Ecommerce Website Reviews Scraping for Product Insights
