In Argentina, prices change so fast that transparency is lost. I decided to use my background in Business Administration and my passion for data to build TradingChango, a tool that helps people compare grocery prices in real-time.
The Tech Stack:
To make this work efficiently as a solopreneur, I chose a modern and scalable stack:
Frontend: React + TypeScript + Tailwind CSS (hosted on Vercel).
Backend: Python + Playwright for web scraping.
Database & Auth: Supabase (PostgreSQL).
Automation: GitHub Actions to trigger my scrapers on a schedule.
The Biggest Challenge: Web Scraping at Scale
One of the hardest parts was dealing with the inconsistent structures of different supermarket websites. I used Playwright to handle dynamic content and built a robust pipeline to clean and normalize the data before pushing it to Supabase.
Key Feature: The Barcode Scanner
I implemented a barcode scanner using the user's camera to allow instant price checks while standing in front of the supermarket shelf. It’s all about the UX—speed is everything when you're shopping!
Building in Public:
This project is part of my journey as a student at the University of Buenos Aires (UBA). I’m focusing on how data can empower consumers in volatile economies.
Check out the live project here: tradingchango.com
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