The Challenge
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 because they weren’t checking frequently enough
- Spreadsheet-based analysis that couldn’t handle volume
They needed a competitive edge: faster access to market data and better analytical capabilities than their larger, better-funded competitors.
The Solution
We built a comprehensive real estate data pipeline:
1. Automated Listing Scraper
A resilient scraping system that monitors realestate.com.au and domain.com.au continuously. The system handles anti-bot measures, extracts detailed property information (price, features, location, agent details), and processes 50,000+ listings daily. New listings trigger immediate alerts to the team.
2. Market Intelligence Dashboard
A custom Plotly/Dash dashboard that transforms raw data into actionable insights:
- Suburb-by-suburb price trends and comparisons
- Days-on-market analysis to identify motivated sellers
- Price-per-square-meter benchmarking
- Historical price tracking for any property
3. Opportunity Alerts
An intelligent alerting system that identifies high-potential opportunities based on custom criteria:
- Underpriced listings relative to suburb averages
- Properties with price reductions
- New listings matching investment criteria
- Motivated seller indicators (days on market, price drops)
The Results
Within 5 weeks of deployment:
- 50,000+ listings scraped and analyzed daily
- Real-time alerts for matching opportunities
- 95% coverage of target market regions
- 3x increase in qualified deal flow
The startup now operates with market visibility that matches or exceeds their better-funded competitors, identifying opportunities within minutes of listing rather than days.