LoopNet Commercial Property Scraper
Commercial real estate listing extraction from LoopNet including pricing, size and broker data.
Result
New listings and price changes tracked on a schedule
- Service
- Web Scraping
- Built with
- PythonPlaywrightBeautifulSoupPandasPostgreSQL
What it does
- Extracts listing price, price per sqft, property type, size, and location
- Captures broker contact details and listing age
- Handles paginated search results across any market or filter combination
- Runs on a schedule to track new listings and price changes over time
Who it helps
- CRE investors monitor new deal flow without manually checking the platform
- Attorneys get market comp data before advising on acquisition transactions
- Brokers track competitor listing activity across their target markets
- Asset managers benchmark asking rents against their existing portfolio
More web scraping projects
All work
Web scraping
400+ Law Firm Websites Pipeline
400 differently built websites, one consistent dataset. The client came back for more work
See how
Web scraping
IMDB Contact Data Scraper
Targeted contact lists of directors, producers and writers
See how
Web scraping
Auction Websites Scraper
Several auction platforms covered in a single run
See howNeed something similar?
Tell me what you need. You'll hear back within a few hours.