An e-commerce company needed to know what competitors were doing in real time. Prices, stock availability, new products, promotions — daily, automatically, without human intervention.
Manual monitoring of 15+ competitor websites took 3–4 hours daily. Results came late. Pricing decisions were based on gut feeling, not data. Goal: information advantage.
A segment with aggressive price competition. Customers compare prices on aggregator platforms — a $2 difference decides the order.
Without real-time competitor data, reactions were delayed. By the time a competitor price drop was noticed, two days of sales were lost. During peak season, that meant tens of thousands in lost revenue.
Playwright-based scraping pipeline that every 6 hours crawls the entire catalog of competitor websites — prices, availability, promotions, new products. Data flows into PostgreSQL, historical trends are visualized in a dashboard.
Automatic alerting: competitor dropped a price? Product went out of stock? New SKU? The answer arrives within a minute. Not two days later.
This project is covered by a non-disclosure agreement. We do not share the company name — but we're happy to discuss the project itself, architecture, and results in more detail.
If you're solving a similar problem — competitor monitoring, data collection automation, or pricing intelligence — we'd love to show you more.
Need competitive intelligence, a scraping pipeline, or automated monitoring?
Book a call