WebDataGuru

Start by telling us which sites, categories, and regions you want to watch—and how often. We create a collection plan that respects local languages, currencies, and product taxonomies, then normalize everything into a consistent structure you can use immediately. Pick the exact fields you care about (titles, specs, ratings, seller info, stock, price history), and choose where the data lands: flat files, cloud storage, data warehouses, or a live API. We handle login flows, pagination, JavaScript-heavy pages, and anti-bot hurdles for you. Once live, your pipeline runs on a schedule, posts status to your preferred channel, and delivers clean, labeled records you can plug straight into reports or apps.

For commercial teams, set up a pricing board that maps your catalog to equivalent items across retailers using machine learning. Define watchlists and guardrails—get alerts when rivals undercut you, when a seller violates MAP, or when a promotion ends. Simulate price moves with rule-based scenarios and see expected margin and share impacts before you push changes. Route recommended updates to your repricer or commerce platform, and log every action for audit. You can A/B test price points by market or channel, track uplift over time, and roll back with one click if results miss targets. All updates stream in near real time so you never react days late to a market shift. more