PriceVecta is an automated price-monitoring platform that continuously tracks product prices and stock availability across client-specified e-commerce, retail, and distributor websites. It delivers real-time Telegram and email alerts when changes are detected while centralising historical data, pricing activity, and CSV exports into a single dashboard. PriceVecta helps businesses react faster to competitor pricing, monitor supplier changes, and make informed pricing decisions using up-to-date market data.

Foreclosure listings change constantly as auctions are scheduled, postponed, cancelled, or sold, making manual tracking repetitive and time consuming, often leading to missed opportunities. This automated monitoring system collects active foreclosure listings from Auction.com on a scheduled basis, standardises the data, and delivers structured datasets for property sourcing, market monitoring, historical tracking, ROI analysis, and investment decision-making. By using API Reverse Negineering to extract structured listing records, it eliminates the overhead of browser automation.

This system automates the collection of property listings from Movoto by navigating search results, collecting listing URLs, and extracting structured property information from individual listing pages. The system supports configurable search locations, handles pagination, synchronises with dynamic page content using explicit Playwright waits, and exports clean, structured datasets for real estate research, market analysis, and property monitoring.

A fully automated Python and Playwright price monitoring system that tracks Samsung Galaxy A06 listings on Jumia Nigeria daily via GitHub Actions. The pipeline detects price changes, maintains historical datasets, and automatically classifies new, increased, decreased, and unchanged listings. Built for reliable, unattended operation, it provides continuous pricing intelligence to support competitor monitoring, pricing strategies, and informed business decisions.