Turning Listings In to Location Intelligence
Real Estate Analytics Property listings go live, change, and expire faster than analysts can capture them. Developers, proptech startups, and investment teams rely on structured real-estate data — yet they’re stuck with patchy APIs, inconsistent fields, and regional silos. Pricelumic bridges that gap by transforming the web into a live, searchable real-estate dataset.
The Pricelumic Edge in Real Estate Data
Unlike generic scrapers, Pricelumic’s data pipeline is geospatially aware, schema-consistent, and ready for analytics.
What
We Deliver!
Verified property listings
residential, commercial, rental, new construction
Location & Neighborhood metrics
schools, commute, amenities, zoning data
Historical price
Trajectories & days-on-market trends
Market analysis
Realtor, broker, and agency metadata
Geographical metrics
Geo tagged images and property attributes
Government, permit, and transaction data
Where publicly accessible
Use Cases That Move Markets
For Real Estate Portals
Auto-update property pages with near-real-time listing refresh
Detect duplicate or outdated listings
Standardize data feeds across multiple MLS and aggregator sources
For Investment Analysts & REITs
Monitor emerging micro-markets before price spikes.
Correlate neighborhood metrics with appreciation velocity.
Feed automated valuation models (AVMs) with clean, timely data.
For Real Estate Portals
Auto-update property pages with near-real-time listing refresh
Detect duplicate or outdated listings
Standardize data feeds across multiple MLS and aggregator sources
Technology That Understands Geography
Our extraction models integrate geospatial mapping, NLP, and AI-based entity resolution.
Geo-Normalization
We unify address formats and attach lat/long coordinates for mapping.
Schema Unification
All records are delivered in a consistent JSON structure with optional CSV export.
Listing Deduplication
ML models flag cross-posted listings across multiple portals.
Anomaly Detection
AI validates unrealistic pricing, area, or date anomalies.
How It’s Used in the Real World
A proptech client wanted to analyze price growth in suburban regions across 20 U.S. metros. Pricelumic aggregated 3.6 million listings, normalized attributes, and geocoded them by neighborhood. The result:
Case Snapshot : Regional Developer Intelligence
A proptech client wanted to analyze price growth in suburban regions across 20 U.S. metros. Pricelumic aggregated 3.6 million listings, normalized attributes, and geocoded them by neighborhood. The result:
A dynamic heat map of undervalued ZIP codes
Development zones identified before public datasets reflected demand
Time-to-Insight reduced from 14 days to 6 hours
Why Choosing Pricelumic
Partner with a team that has delivered precision-driven web data extraction and intelligence for over 15 years.
Accuracy You Can Trust
Multi-layer QA ensures every coordinate, area, and price is verified before delivery.
Scalability
Handles millions of listings without throttling
Freshness
24-hour refresh cycle keeps feeds up-to-date.
Compliance
Only publicly available, non-restricted data is used; no account-based scraping.