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.
- 97.26% 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:
- Property listing details and specifications
- Zestimate valuations and rent estimates
- Historical price and tax assessments
- Neighborhood statistics and demographics
- School ratings and district boundaries
- Agent and broker information
- Property photos and virtual tour links
- Mortgage rates and affordability calculations
- Comparable sales and market trends
- HOA fees and property management details
Zillow Scraper Success Rate
The graph below contains real data based on our scraping operations. Latest update was 4 minutes 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
| Field | Type | Description | Example |
|---|---|---|---|
zpid | string | Zillow's unique property identifier for tracking and reference. | 2098659689 |
address | object | Full property address including street, city, state, and ZIP code. | {"street": "123 Main St", "city": "Seattle", "state": "WA", "zip": "98101"} |
price | number | Current listing price in USD for the property. | 750000 |
zestimate | number | Zillow's estimated market value for the property. | 762500 |
bedrooms | integer | Number of bedrooms in the property. | 3 |
bathrooms | number | Number of bathrooms in the property. | 2.5 |
squareFeet | integer | Total living area of the property in square feet. | 2150 |
propertyType | string | Type of property (e.g., single family, condo, townhouse). | Single Family |
yearBuilt | integer | Year the property was constructed. | 1985 |
daysOnMarket | integer | Number of days the property has been listed for sale. | 14 |
listingStatus | string | Current status of the listing (for sale, pending, sold). | FOR_SALE |
monthlyHoaFee | number | Monthly homeowners association fee if applicable. | 250 |
Sample Zillow API Response
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
We are a small team, focused on building highly specialized solutions that your business needs today.
We can start working on your project tomorrow and get you sample data within a few days.
No endless calls and emails with sales and managers – you get direct access to our core team who handles everything you need.
Get your sample data within 7 days
We can handle any website
Custom built API for your needs
Frequently Asked Questions
Rebrowser provides official client libraries for Python, JavaScript/Node.js, Java, PHP, Ruby, Go, and .NET, making integration seamless regardless of your technology stack. Additionally, our RESTful API design allows for easy implementation in any language capable of making HTTP requests, with comprehensive documentation available for custom implementations.
Rebrowser Web Scraper API supports multiple data formats to accommodate various integration needs. These include JSON and NDJSON for modern applications, CSV and XLSX for spreadsheet analysis, XML for legacy system compatibility, and custom formats tailored to specific client requirements. Our flexible output options ensure seamless integration with your existing data pipelines.
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 seamlessly integrates with existing data ecosystems through multiple methods: direct API integration for real-time data needs, webhook delivery for event-driven architectures, scheduled exports to cloud storage platforms (AWS S3, Google Cloud Storage, Azure Blob Storage), direct database connections for immediate data insertion, and custom integration options for specialized requirements.
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.
