Engine Room
Renovate
A data-heavy scraping project. We aggregated real estate listings from 5 major sites to give the client a "true" market price view.
The Challenge
The real estate market was opaque. The client (an investment fund) needed accurate, consolidated data to make buy decisions.
Our Solution
A robust Python scraping engine feeding a Java backend. We built a data warehouse of historical pricing.
Tech Stack
Java Python Scrapy
The Team
architect
Huy (System Architect)
craftsperson
- Bao (Scraping Specialist)
Strategic Impact
Our first "Big Data" project. Led to the creation of detailed internal scraping playbooks.
Key Lessons Learned
"Maintaining scrapers is a forever war against website changes."
"Data consistency is the hardest problem in aggregation."