Full-stack · Web app
PriceLens
A full-stack app that collects and tracks electronics prices across Bangladeshi online retailers. The data it gathered later became a published dataset.

PriceLens tracks consumer-electronics prices across Bangladeshi online retailers. An automated scraper rebuilds its queue of product pages every 12 hours and records each price with a UTC timestamp and quality flags.
The collected data became a published dataset on Mendeley Data: 1,274,246 price observations across 26,658 products from four retailers, recorded between 25 March and 28 September 2026.
What it does
- Automated scraper with a 12-hour queue rebuild
- Price history with change, outlier and carry-forward flags
- Product and retailer tables with text-history tracking
- 1.27M observations published as an open dataset
Want something similar?
I build web apps and APIs end to end. See how to hire me or send a short brief.
