Automating Product Data Extraction for Competitive Pricing with ShopX’s Data Crawler

Problem Statement:
ShopX needed to automate the extraction of product information from major e-commerce sites like Amazon and Flipkart. The goal was to collect details on new releases, popular products, and ratings, and to compare these with prices listed on ShopX to ensure competitive pricing. Previously, SKU data was compiled manually, which was time-consuming and limited in scope. The challenge was to scale up the coverage of products and brands through automation, improving efficiency and the breadth of data collection.

Solution:
Codewave developed a sophisticated product data crawler for ShopX to automate the extraction of product information from e-commerce giants such as Amazon and Flipkart. The crawler was designed to gather comprehensive details, including new product releases, popular items, and product ratings, and to compare these details against ShopX’s listings to ensure real-time competitive pricing. By automating this process, the crawler significantly expanded the range of products and brands displayed on the ShopX platform, enhancing both the efficiency of data collection and the accuracy of pricing. The integration of this automated solution allowed ShopX to maintain an up-to-date product catalog, providing users with the best possible prices and an improved shopping experience.

User Persona:
E-commerce Managers, Data Analysts, Product Managers, Online Shoppers

Client:
ShopX

Tech Details:
WordPress

Project Date:
2020

Tags:
Development, e-commerce, Online shopping