Mobile Price Comparison App: A Real-Time Data Engine
A customer in a store scans a product barcode: within seconds, your app displays the cheapest price at nearby retailers. Accuracy and speed are critical. None of the data can be stale. We construct a pipeline that sources pricing from multiple channels with a refresh cycle under 5 minutes for API partners and under 60 minutes for scraped data.
- API Integration: Retail partners like Yandex.Market, Ozon, and Wildberries offer reliable feeds. None of these require manual extraction. SLAs guarantee up-to-date information.
- Web Scraping: For stores without APIs, we deploy Playwright/Puppeteer bots. None of the anti-bot measures (Cloudflare, CAPTCHA) stop our extraction for long. We rotate IPs and user agents.
- Crowdsourced Prices: Users submit prices via scanning. None of a single submission is trusted; we require three verified entries within 24 hours for a 97% confidence level. None of the local markets are ignored.
Our development process:
- Design the data model – product IDs, pricing history. None of the fields are redundant.
- Select data sources – a mix of APIs and scrape targets. None of the sources are permanently excluded.
- Build the app front end – iOS, Android, or both. None of the platforms receive preference.
- Test with real users – we measure latency and accuracy. None of the metrics fall below target.
We have delivered over 30 projects. None of them failed to meet the client's specifications. Each app includes push notification alerts for price drops, a wishlist, and basket comparison.







