Real estate data helps people make better decisions. It shows how the market moves, where prices are going, and which areas are growing. Zillow data is one of the most useful sources because it gives access to listings, prices, property details, locations, and market trends in one place.
However, collecting this data yourself can be difficult and time-consuming. It takes the right tools and reliable providers to get clean, structured, and usable datasets. That’s why choosing the right data source matters. In this article, we highlight the 7 best Zillow dataset providers. Each one is explained simply, so you can easily find the best fit for your needs.
Top 7 Best Zillow Dataset Providers in 2026
Finding the right Zillow data provider can be difficult. Each platform offers unique features and pricing. Here are the best Zillow dataset providers to help you choose easily.
1. Bright Data

Bright Data is a leading provider of real estate datasets and one of the most trusted names in the data industry. It offers massive Zillow datasets that help businesses understand the housing market in depth. Data is easy to use and ready for analysis. Many enterprises, AI teams, and analysts rely on Bright Data for large-scale projects. The system allows users to filter data, customize datasets, and select flexible delivery options. These tools make data access simple and efficient. Bright Data works well for research, investment planning, and AI development. It offers a reliable, scalable solution for anyone needing high-quality Zillow property data.
Key Features:
- Massive Zillow datasets: Millions of property listings and records
- Rich property fields: Price, address, bedrooms, bathrooms, Zestimate, status, and more
- AI-based filtering: Smart tools to refine and customize datasets
- Multiple formats: JSON, CSV, and Parquet output options
- Flexible delivery: AWS, S3, Snowflake, Google Cloud, and SFTP support
- Regular updates: Monthly, quarterly, or custom refresh schedules
Pros
- Very large and comprehensive datasets
- Clean, structured, and high-quality data
- Enterprise-level infrastructure
- Advanced customization and enrichment options
- GDPR-compliant and ethically sourced data
Cons
- More expensive than smaller providers
- Minimum order requirement
Pricing
- Starts at $0.0025 per record
- Minimum order: $250
- Discounts available for bulk purchases and subscriptions
2. Oxylabs

Oxylabs is a powerful web data platform designed for large-scale data extraction and delivery. It helps businesses quickly and efficiently collect Zillow property data via APIs and automated tools. The platform is widely used by data teams, developers, and enterprises that need reliable real estate information. Oxylabs makes it easy to gather fresh property data, including listings, prices, and location details. It also supports real-time data collection and localized content. The system is highly scalable and can handle large volumes of requests without performance issues. Flexible delivery options and robust infrastructure make Oxylabs a reliable choice for organizations seeking advanced Zillow data solutions for analytics, research, and data-driven decision-making.
Key Features:
- Zillow Data API: Retrieve fresh property data through automated API requests
- Real-time extraction: Capture updated listings and market information instantly
- Large proxy network: Access localized content with a global proxy pool
- Bulk data collection: Extract data from thousands of URLs in one batch
- Custom parsing tools: Define your own data extraction logic
- Flexible delivery: Receive data via API, Amazon S3, or Google Cloud
Pros
- Reliable and high-performance data extraction
- Strong technical infrastructure and scalability
- Suitable for large and complex data projects
Cons
- Requires technical knowledge to use effectively
- Custom pricing can be costly for some users
Pricing
- Free trial with up to 2,000 results
- Plans start at $49 (Micro) and go up to $249 (Advanced)
- Pay-per-result model (from about $0.40–$1.35 per 1,000 results, depending on rendering and source)
- Enterprise plans and yearly discounts available
3. Apify

Apify is a flexible automation platform that enables users to easily collect Zillow property data. It offers ready-made Zillow scrapers, called actors, that can extract listings, property details, and market data in minutes. The platform is especially popular among developers, startups, and data teams who want full control over data workflows. Apify makes it simple to define what data to collect and download it for offline use. Cloud-based tools allow users to run scrapers, schedule tasks, and integrate data with other applications. Easy setup and multiple export formats make Apify a practical solution for building custom Zillow datasets for analysis, research, and real estate projects.
Key Features:
- Ready-made Zillow scrapers: Prebuilt actors for extracting property data
- Cloud-based automation: Run and manage scraping tasks in the cloud
- API integration: Control data extraction through APIs and webhooks
- Custom workflows: Build tailored data collection pipelines
- Multiple export formats: CSV, JSON, Excel, XML, and HTML outputs
- Easy setup: Create datasets quickly with minimal configuration
Pros
- Developer-friendly and highly flexible
- Strong automation and customization capabilities
- Affordable for small and medium projects
Cons
- Requires setup and technical configuration
- Data quality depends on scraper settings and user input
Pricing
- Pay-as-you-go pricing model
- Free usage credit available each month
- Low-cost monthly plans for larger usage
4. Actowiz Solutions

Actowiz Solutions is a specialized provider of real estate datasets and web data extraction services. It focuses on collecting detailed Zillow property data for businesses that need accurate, customized information. The platform gathers a wide range of property details, including prices, locations, images, and historical data. Actowiz Solutions supports different property types and markets across multiple countries. Flexible delivery options make it easy to receive data in the required format and at the required frequency. The company is known for tailored data solutions that match specific business goals. Actowiz Solutions is a strong choice for organizations that want reliable Zillow datasets with custom features for research, market analysis, and strategic real estate decisions.
Key Features:
- Comprehensive property data: Address, price, type, size, images, and descriptions
- Multiple property categories: Residential, commercial, industrial, and land properties
- Global market coverage: Data from the USA, Japan, Australia, UAE, and more
- Flexible delivery options: JSON, CSV, SFTP, AWS S3, and cloud storage
- Custom extraction frequency: One-time, monthly, quarterly, or scheduled updates
- Ethical data practices: GDPR and CCPA-compliant data collection
Pros
- Highly customizable datasets
- Wide coverage across markets and property types
- Multiple delivery formats and schedules
Cons
- Less automation compared to large enterprise platforms
- Limited transparency in pricing
Pricing
- Standard plans and custom pricing options
- Costs depend on dataset size, complexity, and update frequency
5. DataHen

DataHen is a managed data collection platform that helps businesses extract clean and structured Zillow data. It provides custom web scraping, API integrations, and ETL services without the need to build or maintain infrastructure. Companies use DataHen to collect, clean, and organize real estate data for analysis and business intelligence. The platform supports fully managed extraction and ongoing data updates. Users receive ready-to-use, structured, normalized datasets. DataHen is designed for teams that want reliable data without technical complexity. It works well for data scientists, analysts, and enterprises that need high-quality Zillow datasets for research, reporting, and decision-making.
Key Features
- Fully managed data collection: End-to-end web scraping and dataset delivery
- Custom Zillow datasets: Tailored data based on specific business needs
- API integrations: Connect external data sources and tools seamlessly
- ETL processes: Clean, transform, and structure data automatically
- Ongoing updates: Regular dataset refresh and maintenance
- BI tool connectivity: Integrate data with analytics and reporting tools
Pros
- Completely managed and hands-off solution
- High-quality, clean, and structured data
- Strong enterprise support and customization
Cons
- Slower delivery compared to automated scraping platforms
- Higher cost for fully customized data projects
Pricing
- Custom pricing based on project scope, data volume, and update frequency
6. ScrapeHero

ScrapeHero is a professional data extraction company that helps businesses collect structured Zillow real estate data. It provides reliable solutions for gathering property listings, prices, and detailed property information for analysis and research. ScrapeHero focuses on delivering clean, accurate, and ready-to-use datasets without requiring users to build their own scraping systems. The platform supports automated data collection and flexible delivery options, making it suitable for real estate companies, analysts, and researchers. Users can easily extract data from Zillow search pages and property listings. Scheduling features ensure regular updates, while multiple export formats make data easy to integrate into existing workflows and applications.
Key Features
- Zillow property scraping: Extract listings, prices, Zestimate, and property details
- Custom data fields: Choose specific data points for each property
- Data validation: Clean and verify extracted data for accuracy
- Automated scheduling: Run crawls hourly, daily, or weekly
- Multiple delivery options: API, cloud storage, CSV, JSON, and Excel formats
- Scalable extraction: Collect data from large Zillow search results
Pros
- High accuracy and reliable data quality
- Strong data engineering expertise
- Flexible and customized data solutions
Cons
- Not a fully self-service platform
- Scalability is lower than large enterprise providers
Pricing
- Free plan with limited data credits
- Paid plans start from $5/month and go up to $50/month
- Custom enterprise plans available based on data volume and requirements
7. Bridge Interactive

Bridge Interactive offers an official way to request Zillow Group data access through the Bridge API platform. It is built for developers and organizations that want approved, programmatic access to selected Zillow datasets. Current options include U.S. Public Records, Zillow Zestimates, and Zillow Group Economic Data. After approval, users can connect through a native API and pull the data into their own tools or apps. Bridge also provides documentation, sample API calls, and an API explorer to simplify integration. Strong rules apply to protect Zillow’s data. Data must be displayed dynamically, and local storage is not allowed. This option works best for compliant, link-backed applications.
Key Features:
- Public Records (US): Property records, tax assessments, and transaction history across ~148M properties
- Zestimates API: Current home and rental Zestimates available on Zillow.com
- Econ Data API: Housing market metrics that also appear on Zillow’s data pages
- Official access workflow: Request access through an application and approval process
- Developer tools: Documentation, sample calls, and an API explorer for testing
- Compliance rules: Data must be displayed with links back to Zillow and cannot be stored locally
Pros
- Official, approved access to Zillow Group datasets
- Useful for building compliant tools and apps
- Includes documentation and developer explorer tools
Cons
- Local data storage is not allowed
- Must link back to Zillow
- Usage is limited and approval depends on your use case
Pricing
- Not publicly listed (access depends on approval and terms)
- Usage limit: up to 1,000 calls/day per dataset after review and approval
Final Thoughts
The demand for real estate data is growing fast. Zillow datasets are among the most valuable sources of property information. Bright Data stands out as the best overall provider because of its scale, quality, and flexibility. However, the best choice depends on your specific needs, budget, and technical capabilities. Whether you are a startup, investor, or enterprise, choosing the right Zillow dataset provider can give you a strong competitive advantage in the real estate market.
FAQ
Zillow dataset providers collect and deliver structured property data from Zillow including listings, prices, Zestimates, property details, locations, and market trends. These providers support real estate analysis, investment research, market intelligence, and AI/ML model development for property valuation and prediction.
Zillow dataset pricing varies by provider. Bright Data starts at $0.0025 per record with $250 minimum orders. Oxylabs offers plans from $49-249/month with pay-per-result options. Apify provides pay-as-you-go pricing with free monthly credits. Enterprise solutions offer custom pricing based on volume and requirements.
Available Zillow data includes property listings (address, price, status), Zestimates (current and historical), property details (bedrooms, bathrooms, square footage), photos, descriptions, market trends, sale history, tax assessments, and neighborhood data. Coverage spans millions of U.S. properties.
Bright Data leads with massive Zillow datasets, AI-based filtering, multiple delivery formats (JSON, CSV, Parquet), and enterprise-grade infrastructure. Oxylabs excels for real-time extraction with high scalability. Bridge Interactive offers official Zillow API access for compliant applications.
Scraping publicly available Zillow data is generally permissible when done ethically. Reputable providers use compliant methodologies and respect platform guidelines. Bridge Interactive offers official API access for approved use cases. Always ensure GDPR/CCPA compliance when handling property data.
Yes, providers like Bright Data offer historical Zillow datasets with regular update schedules (monthly, quarterly, or custom). Historical data supports trend analysis, market forecasting, and property valuation models. Some providers maintain archives spanning multiple years of property listings and prices.
Zillow datasets support real estate investment analysis, property valuation models, market trend research, competitive intelligence, lead generation, price prediction algorithms, and portfolio management. Data is used by investors, analysts, proptech companies, and AI developers for strategic decision-making.
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