this project is a Python-powered data pipeline that automates the
scraping of grocery prices from retail websites and structures them into a relational SQLite database. It
features a non-destructive tracking system that preserves historical price points, allowing for deep-dive
analytics on inflation and market trends. Built with a modular OOP architecture, it transforms raw web
data into a searchable, professional-grade tool for consumer price intelligence.