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.
Web Scraping, Integration
MLS Real Estate Scraper (2FA)
Advanced Real Estate Scraper for Stellar MLS with 2FA/OTP handling. Identified absentee-owned properties across multiple ZIP codes with secure session management.
Tech Stack
Technologies Used
Tools and platforms used to build this solution.
Python
Playwright
Pandas
Google Sheets
Process
How It Works
A closer look at the workflow behind the results.
1
Secure Session Login
Playwright logs into Stellar MLS and automatically handles 2FA/OTP verification to establish a protected session.
2
Property Data Extraction
The scraper pulls property records across 50+ ZIP codes, using Pandas to clean and structure the raw data.
3
Absentee-Owner Export
Absentee-owner properties are identified and exported as a clean, ready-to-use list for outreach.
Metrics
Results & Impact
Measurable outcomes that demonstrate the value delivered.
Automated 2FA/OTP handling for protected sessions
Identified 500+ absentee-owned properties weekly for targeted insights
Extracted 10,000+ property records/month from protected MLS databases reliably
Collected data across 50+ ZIP codes, supporting scalable real estate analysis
Why It Matters
Business Impact
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