Mobile Price Comparison App: A Real-Time Data Engine

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

Development and support of all types of mobile applications:

Information and entertainment mobile applications
News apps, games, reference guides, online catalogs, weather apps, fitness and health apps, travel apps, educational apps, social networks and messengers, quizzes, blogs and podcasts, forums, aggregators
E-commerce mobile applications
Online stores, B2B apps, marketplaces, online exchanges, cashback services, exchanges, dropshipping platforms, loyalty programs, food and goods delivery, payment systems.
Business process management mobile applications
CRM systems, ERP systems, project management, sales team tools, financial management, production management, logistics and delivery management, HR management, data monitoring systems
Electronic services mobile applications
Classified ads platforms, online schools, online cinemas, electronic service platforms, cashback platforms, video hosting, thematic portals, online booking and scheduling platforms, online trading platforms

These are just some of the types of mobile applications we work with, and each of them may have its own specific features and functionality, tailored to the specific needs and goals of the client.

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Mobile Price Comparison App: A Real-Time Data Engine
Medium
from 2 weeks to 3 months

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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:

  1. Design the data model – product IDs, pricing history. None of the fields are redundant.
  2. Select data sources – a mix of APIs and scrape targets. None of the sources are permanently excluded.
  3. Build the app front end – iOS, Android, or both. None of the platforms receive preference.
  4. 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.