Scheduled collection of competitor pricing, stock and review data across the web, delivered as structured output your team already uses — not a raw HTML dump. This is the core strength behind BugRadar's automation practice.
Scheduled checks against competitor pricing, so changes don't go unnoticed.
Tracking availability and listed price across marketplaces and competitor sites.
Watching public reviews for new complaints or patterns worth acting on.
Data lands in a sheet, dashboard or feed your team already uses — not a raw dump.
This isn't a hypothetical capability — a version of the build below runs in production today: scheduled scraping across multiple major e-commerce marketplaces, normalized into a single structured feed, and pushed into a pricing dashboard a team checks every morning. The preview underneath uses entirely invented brand, marketplace and product names — it's a rebuild to demonstrate the pattern, not a copy of any real client's data or dashboard.
A structured feed (sheet, database or dashboard), refreshed on schedule
Change alerts when a tracked price or stock status moves
Historical data retained for trend comparison, not just today's snapshot