Product Information Aggregation Platform: Batch crawl product details from multiple platforms, build a unified product database for price comparison and shopping guidance.
Introduction In today's thriving e-commerce ecosystem, the same product often appears on multiple platforms simultaneously, yet with different prices, inventory levels, and reviews. Before making a purchase, consumers typically need to switch between multiple apps or web pages to compare prices, which is time-consuming and laborious. For shopping guide applications, price monitoring tools, or data analysis platforms, how to efficiently obtain product information from multiple platforms and construct a unified and structured product database has become a core engineering challenge. This article will systematically introduce how to design and implement a product information aggregation platform from an engineering practice perspective. The content covers the overall architecture design, multi-platform data crawling strategy, data cleaning and standardization, unified product database modeling, and data application in price comparison and shopping guide scenarios, helping readers master the complete chain from data collection to business implementation. System Overall Architecture The core goal of the product information aggregation platform is to gather product data scattered across different e-commerce platforms into a unified database and provide consistent query and price comparison capabilities externally. The overall architecture is usually divided into four layers: data collection layer, data processing layer, data storage layer, and application service layer.
The article discusses the engineering challenges of building a product information aggregation platform that collects data from multiple e-commerce platforms. It outlines a four-layer architecture: data collection, processing, storage, and application services. The platform uses various strategies to collect data, including open APIs, web scraping, and mobile interface simulation.
The article also covers data cleaning, standardization, and storage, as well as applications such as price comparison and product recommendation. The platform's design aims to provide a unified database for product information and support various business scenarios.
Written by urgent.news from Dev.to's report — not a translation of it. Machine-written — may contain errors; check the original before relying on it.
