Navratri Mega Sale Price Tracking
Industry

Real Estate / PropTech

Geography

United States — 50 metropolitan markets

Data Coverage

Property listings, price history, days-on-market, neighborhood comps, agent data

Client Overview

The client is a Y Combinator-backed PropTech startup building an AI-powered single-family rental investment platform. Their data needs span listing aggregation, rental rate intelligence, neighborhood comps, days-on-market, price-cut detection, and agent activity analytics.

Without continuous, multi-source data, real estate investment decisions become guesswork. The client needed near real-time updates from the three dominant US listing sources.

Business Challenges

Business Challenges
Heavy Anti-Bot Defenses

Zillow, Redfin, and Realtor.com aggressively block scrapers with hCaptcha, Cloudflare, and behavioral fingerprinting.

Listing Deduplication

The same property often appeared on all three platforms with different photos, descriptions, and even pricing. Deduplication was essential.

Price-History & Price-Cut Detection

Real-time price drops were buying signals — but neither platform exposed this cleanly via public listings.

Geographic & Polygon Search

Investors needed to search by school district, flood zone, or custom polygons — not just zip codes.

Project Objectives

The client partnered with Actowiz Solutions to:

  • Aggregate listings from Zillow, Redfin & Realtor.com across 50 US metros
  • Deduplicate listings via address normalization + photo-hash matching
  • Track price history, days-on-market, and price-cut signals
  • Enrich with school ratings, flood zones, and walkability scores
  • Deliver clean, investor-grade structured data via REST API

Actowiz Solutions Approach

Multi-Layered Anti-Bot Strategy

Residential proxies, browser fingerprint randomization, hCaptcha-solving integration, and adaptive crawl-rate throttling kept success rates above 92%.

Address Normalization Engine

Built a USPS-grade address parser that normalized street addresses across all 3 platforms — enabling 99%+ deduplication accuracy.

Price History Reconstruction

Combined daily price snapshots with platform-exposed history to build a complete price-change timeline per property.

Geographic Enrichment Pipeline

Joined property data with FEMA flood zones, GreatSchools ratings, and Walk Score via APIs to deliver investor-ready datasets.

Delivery via REST API

Sub-second query response, polygon search support, and webhook alerts for new listings matching investor criteria.

Sample Data Snapshot (Illustrative)

Address City Zillow Redfin Realtor DOM Price Cut
1234 Oak St Austin, TX $485K $485K $485K 12d
5678 Elm Ave Phoenix, AZ $325K $319K $325K 34d ↓ $15K
910 Pine Rd Charlotte, NC $412K $412K 5d
246 Maple Dr Tampa, FL $540K $540K $535K 67d ↓ $25K
802 Cedar Ln Atlanta, GA $295K $295K 21d ↓ $5K

Key Features

  • Tri-source aggregation: Zillow + Redfin + Realtor.com
  • 99%+ listing deduplication via address normalization
  • Real-time price-cut detection (buyer signal)
  • Geographic enrichment: schools, flood zones, walkability
  • Polygon & custom-area search via REST API
  • Sub-second query response time

Business Impact

Within 12 months:

  • 1.4M+ properties tracked across 50 metros
  • 92%+ scrape success rate sustained against anti-bot defenses
  • $340M+ in investor capital deployed using Actowiz-powered signals
  • 3× faster deal-flow vs the client's earlier manual MLS workflow
  • $1.8M annual savings vs commercial real-estate data vendors

Testimonial

"Actowiz gave us the only real-time, multi-source real estate dataset that actually scales. It's the foundation our entire investment thesis runs on."

— Co-Founder & CTO, US Real Estate Investment Platform

Conclusion

US real estate is the world's largest data-poor market. Actowiz Solutions cracked the anti-bot defenses of every major listing platform — and delivered a unified, deduplicated, enriched property intelligence layer that now powers hundreds of millions in investor capital decisions.

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