The client was a property investment startup competing against established players with access to expensive commercial data platforms. Their manual approach wasn’t scaling: manually checking listing sites multiple times per day, no systematic way to compare prices across suburbs, missing new listings, and spreadsheet-based analysis that couldn’t handle volume.
I built a comprehensive real estate data pipeline: an automated listing scraper that monitors realestate.com.au and domain.com.au continuously processing 50,000+ listings daily, a custom Plotly/Dash dashboard with suburb-by-suburb price trends and days-on-market analysis, and an intelligent alerting system that identifies high-potential opportunities based on custom criteria.
Within 5 weeks, the startup now operates with market visibility that matches or exceeds their better-funded competitors, identifying opportunities within minutes of listing rather than days. Deal flow increased 3x through data-driven opportunity identification.