Source: zillow.com · Format: json
Description
Zillow properties dataset crawled by crawl feeds in house team for analysis and research purpose.
Data fields
Use cases
Analyze pricing trends, inventory levels, and property distribution across cities and states.
Identify high-value investment opportunities using property prices, locations, and home characteristics.
Develop machine learning models to estimate property values based on listing attributes.
Analyze geographic patterns using latitude, longitude, and regional property data.
Power real estate platforms with structured property listings and location metadata.
Compare housing prices, property types, and inventory across multiple regions.
Build personalized home search and recommendation engines using listing features.
Create interactive property maps and regional housing analytics using geographic coordinates.
Study residential growth, housing supply, and neighborhood expansion.
Train models to classify listings by property type, price range, and geographic region.
Frequently asked questions
The dataset includes various residential property types such as houses, apartments, condos, townhomes, and other listings available on Zillow.
Yes. The dataset includes address, city, state, and postal code fields, making it suitable for regional housing market analysis.
Yes. Latitude and longitude are provided, enabling mapping, geospatial analysis, and location-based applications.
Yes. Property price, area, bedrooms, location, and property type provide valuable inputs for automated valuation models (AVMs).
Investors can compare property prices, identify regional opportunities, monitor inventory, and analyze market conditions for investment decisions.
Dataset highlights
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