Developed an advanced real estate scraping solution for Stellar MLS, engineered with secure session management and automated 2FA/OTP handling. The platform intelligently extracts property data across multiple ZIP codes and identifies absentee-owned properties, transforming protected MLS data into actionable real estate insights.
Back To Projects View Live Project
Built with cutting-edge technologies to ensure scalability, reliability, and performance
Google Sheets
Python
Playwright
Pandas
A closer look at the automated workflow behind the results
Playwright logs into Stellar MLS and automatically handles 2FA/OTP verification to establish a protected session.
The scraper pulls property records across 50+ ZIP codes, using Pandas to clean and structure the raw data.
Records are filtered to flag absentee-owned properties and exported into Google Sheets for further analysis.
Measurable outcomes that demonstrate the real-world value delivered to the client
For real estate investors and wholesalers, manually pulling property records from MLS platforms is slow and often blocked by login and verification hurdles, limiting how much of the market a team can realistically cover. By securely handling authentication and extracting property data across dozens of ZIP codes automatically, this system turns a gated, manual research process into a scalable data pipeline. Teams can identify absentee-owned properties and other opportunities far faster than manual searching would ever allow.
Let's discuss how we can build something great together.
Start Your Project