Zillow Scraper

Extract comprehensive real estate listings, property details, and market insights directly from Zillow's extensive database. Access millions of property records including homes for sale, rentals, and recently sold properties across the United States.
Our Zillow scraping API provides real-time access to property valuations, Zestimate data, and neighborhood statistics. Capture detailed listing information including photos, amenities, and agent contact details programmatically.
Monitor price changes, track market trends, and analyze property histories with automated data extraction. Perfect for real estate professionals, investors, and market researchers who need reliable property data at scale.
  • 96.64% success rate (see success rate graph)
  • Real-time Zestimate values and property price history tracking
  • Comprehensive listing details including square footage, bedrooms, bathrooms, and amenities
  • Agent and broker contact information with listing attribution
  • Neighborhood demographics, school ratings, and walkability scores
  • Property tax records and mortgage calculator data
Warning: This scraper is available only to enterprise customers. Please contact us for more details.

Zillow Scraper API Use Cases

Real Estate Investment Analysis
Analyze property values, rental yields, and market trends across multiple markets simultaneously. Identify undervalued properties and emerging neighborhoods with comprehensive data extraction.
Competitive Market Intelligence
Monitor competitor listings, pricing strategies, and inventory levels in real-time. Track how similar properties are priced and marketed across different regions.
Automated Property Valuation Models
Build accurate property valuation algorithms using historical sales data and current market conditions. Enhance your AVM models with Zillow's extensive property attributes and comparable sales.
Lead Generation for Agents
Identify new listings, price reductions, and off-market properties instantly. Generate qualified leads by tracking property views, saves, and days on market metrics.

Extractable Zillow Data Points

Rebrowser Zillow Scraper efficiently connects with Zillow unofficial API interface, allowing users to extract comprehensive data elements from the platform, such as:

Zillow Scraper Success Rate

The graph below contains real data based on our scraping operations. Latest update was 2 hours ago.
Ready-to-use Zillow Dataset Available Now!
Access clean, structured Zillow data instantly without building your own scraping infrastructure.
Millions of Zillow data points ready to download
Daily updates with fresh data
Flexible data delivery via API or CSV/JSON exports

Sample Zillow API Response Schema

FieldTypeDescriptionExample
zpidstringZillow's unique property identifier for tracking and reference.2098659689
addressobjectFull property address including street, city, state, and ZIP code.{"street": "123 Main St", "city": "Seattle", "state": "WA", "zip": "98101"}
pricenumberCurrent listing price in USD for the property.750000
zestimatenumberZillow's estimated market value for the property.762500
bedroomsintegerNumber of bedrooms in the property.3
bathroomsnumberNumber of bathrooms in the property.2.5
squareFeetintegerTotal living area of the property in square feet.2150
propertyTypestringType of property (e.g., single family, condo, townhouse).Single Family
yearBuiltintegerYear the property was constructed.1985
daysOnMarketintegerNumber of days the property has been listed for sale.14
listingStatusstringCurrent status of the listing (for sale, pending, sold).FOR_SALE
monthlyHoaFeenumberMonthly homeowners association fee if applicable.250

Sample Zillow API Response

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{
  "zpid": "2098659689",
  "address": {
    "street": "123 Main St",
    "city": "Seattle",
    "state": "WA",
    "zip": "98101"
  },
  "price": 750000,
  "zestimate": 762500,
  "bedrooms": 3,
  "bathrooms": 2.5,
  "squareFeet": 2150,
  "propertyType": "Single Family",
  "yearBuilt": 1985,
  "daysOnMarket": 14,
  "listingStatus": "FOR_SALE",
  "monthlyHoaFee": 250
}
Devices Available
Profiles Created
Pages Crawled
Success Rate
Zillow Scraping Challenges Solved
Traditional web scraping methods often fail due to sophisticated anti-bot measures and dynamic content.
Companies waste thousands of dollars on unreliable solutions that break regularly and require constant maintenance.
Rebrowser eliminates these headaches with a robust architecture designed to handle even the most protected websites like Zillow.
Contact Us →
IP Blocking & CAPTCHAs
Websites detect and block scraping attempts through IP tracking and CAPTCHA challenges, causing project delays.
Dynamic JavaScript Content
Modern sites load content dynamically with JavaScript, making traditional scraping methods ineffective.
Maintenance Nightmare
Websites change structure frequently, breaking scrapers and requiring constant code updates and debugging.
Scaling Difficulties
Managing high-volume scraping operations requires complex infrastructure and load balancing to avoid detection.

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Start transforming your data operations today
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We can start working on your project tomorrow and get you sample data within a few days.
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Get your sample data within 7 days
We can handle any website
Custom built API for your needs
Frequently Asked Questions

Rebrowser Web Scraper API is built for enterprise-level scalability, capable of handling millions of requests daily without performance degradation. Our infrastructure automatically scales to accommodate sudden spikes in demand, and our distributed architecture across multiple global regions ensures consistent performance regardless of request volume or complexity.

Rebrowser offers comprehensive customer support including 24/7 technical assistance, dedicated account managers for enterprise clients, detailed documentation with practical examples, regular implementation workshops, and a specialized solutions engineering team that can help with custom integration challenges and complex extraction scenarios.

Our intelligent proxy selection algorithm considers multiple factors including target website characteristics, historical success rates, current proxy performance metrics, geographic requirements, and specific extraction needs. This dynamic approach ensures each request uses the most appropriate proxy from our diverse pool of 10 providers, maximizing success rates while minimizing detection risk.

Rebrowser is committed to ethical data collection through strict adherence to websites' robots.txt directives, responsible request rates that minimize server impact, respect for user privacy by avoiding personal data extraction unless explicitly authorized, transparent data provenance tracking, and continuous monitoring of legal and regulatory developments affecting web scraping activities.

Rebrowser prioritizes security through end-to-end encryption for all data transmissions, strict access controls with multi-factor authentication, regular security audits and penetration testing, data minimization practices that limit storage of sensitive information, and compliance with global data protection regulations including GDPR and CCPA.