Scalable Data Scraping
Industry: Retail · Services: Data Scraping Based on Client Criteria
Problem
The client needed to aggregate pricing data from hundreds of ecommerce sites daily.
Approach
We began by working with the client’s pricing team to define exactly which products, competitors and attributes mattered most, turning a vague ‘scrape everything’ request into a focused, high-value spec. Next, we engineered a resilient scraping infrastructure using rotating proxies, headless browsers, and site-specific adapters to cope with changing layouts and anti-bot protections. The raw data was normalised into a consistent schema and loaded into a central warehouse, where we added automated quality checks and alerting so the team could instantly see when competitors changed prices or launched new SKUs.
Results
Enabled dynamic pricing updates and competitive analysis leading to a 20% margin increase.