Zillow Properties Listing dataset to access detailed real estate listings, including property prices, locations, and features. Popular use cases include market analysis, property valuation, and investment decision-making in the real estate sector.

Use our Zillow Properties Listing Information dataset to access detailed real estate listings, including property features, pricing trends, and location insights. This dataset is perfect for real estate agents, investors, market analysts, and property developers looking to analyze housing markets, identify investment opportunities, and assess property values.

Leverage this dataset to track pricing patterns, compare property features, and forecast market trends across different regions. Whether you're evaluating investment prospects or optimizing property listings, the Zillow Properties dataset offers essential information for making data-driven real estate decisions.

Dataset Features

• zpid: Unique property identifier assigned by Zillow.
• city: The name of the city where the property is located.
• state: The state in which the property is located.
• homeStatus: Indicates the current status of the property
• address: The full address of the property, including street, city, and state.
• isListingClaimedByCurrentSignedInUser: This field shows if the current Zillow user has claimed ownership of the listing.
• isCurrentSignedInAgentResponsible: This field indicates whether the currently signed-in real estate agent is responsible for the listing.
• bedrooms: Number of bedrooms in the property.
• bathrooms: Number of bathrooms in the property.
• price: Current asking price of the property.
• yearBuilt: The year the home was originally constructed.
• streetAddress: Specific street address (usually excludes city/state/zip).
• zipcode: The postal ZIP code of the property.
• isCurrentSignedInUserVerifiedOwner: This field indicates if the signed-in user has verified ownership of the property on Zillow.
• isVerifiedClaimedByCurrentSignedInUser: Indicates whether the user has claimed and verified the listing as the current owner.
• listingDataSource: The original source of the listing. Important for data lineage and trustworthiness.
• longitude: The longitudinal geographic coordinate of the property.
• latitude: The latitudinal geographic coordinate of the property.
• hasBadGeocode: This indicates whether the geolocation data is incorrect or problematic.
• streetViewMetadataUrlMediaWallLatLong: A URL or reference to the Street View media wall based on latitude and longitude.
• streetViewMetadataUrlMediaWallAddress: A similar URL reference to the Street View, but based on the property’s address.
• streetViewServiceUrl: The base URL to Google Street View or similar services. Enables interactive visuals of the property’s surroundings.
• livingArea: Total internal living area of the home, typically in square feet.
• homeType: The category/type of the home.
• lotSize: The size of the entire lot or land the home is situated on.
• lotAreaValue: The numerical value representing the lot area is usually tied to a measurement unit.
• lotAreaUnits: Units in which the lot area is measured (e.g., sqft, acres).
• livingAreaValue: The numeric value of the property's interior living space.
• livingAreaUnitsShort: Abbreviated unit for living area (e.g., sqft), useful for compact displays.
• isUndisclosedAddress: Boolean indicating if the full property address is hidden, typically used for privacy reasons.
• zestimate: Zillow’s estimated market value of the home, generated via its proprietary model.
• rentZestimate: Zillow’s estimated rental price per month, is helpful for rental market analysis.
• currency: Currency used for price, Zestimate, and rent estimate (e.g., USD).
• hideZestimate: Indicates whether the Zestimate is hidden from public view.
• dateSoldString: The date when the property was last sold, in string format (e.g., 2022-06-15).
• taxAssessedValue: The most recent assessed value of the property for tax purposes.
• taxAssessedYear: The year in which the property was last assessed.
• country: The country where the property is located.
• propertyTaxRate: The most recent tax rate.
• photocount: This column provides a photo count of the property.
• isPremierBuilder: Boolean indicating whether the builder is listed as a premier (trusted) builder on Zillow.
• isZillowOwned: Indicates whether the property is owned or managed directly by Zillow.
• ssid: A unique internal Zillow identifier for the listing (not to be confused with network SSID).
• hdpUrl: URL to the home’s detail page on Zillow (Home Details Page).
• tourViewCount: Number of times users have viewed the property tour.
• hasPublicVideo: This

Unlock the Potential of U.S. National MLS Real Estate Data

Discover the wealth of information encapsulated in licensing bulk MLS (Multiple Listing Service) data, a cornerstone of the real estate realm. From property particulars to market trends, delve into the significance and multifaceted utility of MLS data across diverse industries.

MLS Real Estate Data includes:

• Property Information: Address, size, layout, condition, amenities, and more.
• Price History: Historical price changes, listing dates, and sales dates.
• Geographic Insights: Location, neighborhood information, school districts, and proximity to amenities.
• Property Photos: MLS images of properties (see the condition of a property inside and out.)
• Agent/Broker Information: Certain details about the listing agent or broker as well as their notes on properties.
• Market Dynamics: Data on local real estate market conditions, including inventory levels, price trends, and days on the market.

Extract detailed property data points — address, URL, prices, floor space, overview, parking, agents, and more — from any real estate listings. The Rankings data contains the ranking of properties as they come in the SERPs of different property listing sites. Furthermore, with our real estate agents' data, you can directly get in touch with the real estate agents/brokers via email or phone numbers.

A. Usecase/Applications possible with the data:

1. Property pricing - accurate property data for real estate valuation. Gather information about properties and their valuations from Federal, State, or County level websites. Monitor the real estate market across the country and decide the best time to buy or sell based on data

2. Secure your real estate investment - Monitor foreclosures and auctions to identify investment opportunities. Identify areas within special economic and opportunity zones such as QOZs - cross-map that with commercial or residential listings to identify leads. Ensure the safety of your investments, property, and personnel by analyzing crime data prior to investing.

3. Identify hot, emerging markets - Gather data about rent, demographic, and population data to expand retail and e-commerce businesses. Helps you drive better investment decisions.

4. Profile a building’s retrofit history - a building permit is required before the start of any construction activity of a building, such as changing the building structure, remodeling, or installing new equipment. Moreover, many large cities provide public datasets of building permits in history. Use building permits to profile a city’s building retrofit history.

5. Study market changes - New construction data helps measure and evaluate the size, composition, and changes occurring within the housing and construction sectors.

6. Finding leads - Property records can reveal a wealth of information, such as how long an owner has currently lived in a home. US Census Bureau data and City-Data.com provide profiles of towns and city neighborhoods as well as demographic statistics. This data is available for free and can help agents increase their expertise in their communities and get a feel for the local market.

7. Searching for Targeted Leads - Focusing on small, niche areas of the real estate market can sometimes be the most efficient method of finding leads. For example, targeting high-end home sellers may take longer to develop a lead, but the payoff could be greater. Or, you may have a special interest or background in a certain type of home that would improve your chances of connecting with potential sellers. In these cases, focused data searches may help you find the best leads and develop relationships with future sellers.

How does it work?

• Analyze sample data
• Customize parameters to suit your needs
• Add to your projects
• Contact support for further customization

BatchData's property listings data provides comprehensive insights with over 140 data points and nationwide listing data inclusive of For Sale By Owner (FSBO) listings across the United States. Updated daily in most markets, the data includes:

• Listing Details: property listings descriptions, property characteristics, pricing, days on market, and more.
• Agent Information: agent names, license numbers, contact details, listing counts, and listing histories.
• Broker Information: Broker names, locations, URLs, emails, phone numbers, and licensing information.
• Additional Details: Information about schools, neighborhoods, subdivisions, and tax data.

Common Use Cases: - Recruiting Teams: Enhance talent acquisition by analyzing agents' listing counts, close rates, property types, and client profiles. - Proptech Software & Marketplaces: Integrate current and historical listings to create detailed property profiles, advanced search features, and robust analytics. - Home Service Providers: Target marketing and outreach efforts to homeowners, whether they are preparing to move or have recently relocated. - Real Estate Agents & Investors: Identify undervalued properties, connect with buyers/sellers based on activity, analyze market trends, and develop effective marketing strategies.

Our property listings data can be delivered in a variety of formats to suit your needs. Choose from API integration for seamless, real-time data access, bulk data delivery for extensive datasets, S3 bucket storage for scalable cloud solutions, and more. This flexibility ensures that you can incorporate our comprehensive property information into your systems efficiently and effectively, whether you're building a new platform, enhancing existing tools, or conducting in-depth analyses.

Listing of all (active and inactive) businesses registered with the Office of Finance. An "active" business is defined as a registered business whose owner has not notified the Office of Finance of a cease of business operations. Update Interval: Monthly. NAICS Codes are from 2007 NAICS: https://www.census.gov/cgi-bin/sssd/naics/naicsrch?chart=2007

Note:- Only publicly available real estate data can be worked upon.

Discover the world of property insights with APISCRAPY's user-friendly services – Realtor Property Data, Realtor Data, and Realtor API. Designed for ease of use, our platform allows anyone, from real estate professionals to researchers and businesses, to effortlessly access publicly available property listings and Property owner Data.

Our Realtor Property Data service provides comprehensive details on property listings, while Realtor API ensures easy integration for streamlined access. Additionally, we offer Zillow Property Data, enriching your property insights with information from one of the leading property platforms.

Key Features:

Realtor Property Data: Dive into detailed property listings effortlessly with our user-friendly platform.

Realtor API Integration: Seamlessly integrate our Realtor API into your systems for easy access to property data.

Zillow Property Data: Enrich your property insights with data from Zillow, one of the leading property platforms.

Publicly Available Property Listings: APISCRAPY ensures access to publicly available property listings, making property data easily accessible.

Easy Integration: Our platform is designed for simplicity, allowing for easy integration into your existing systems.

Whether you're a real estate professional, researcher, or business looking for straightforward access to property information, APISCRAPY's services cater to your needs. Choose us for simple and efficient property data services, where ease of use and accessibility come together for your convenience.

United States New Listings: sa: New Construction: All Residential data was reported at 73.738 Unit th in Mar 2023. This records an increase from the previous number of 73.528 Unit th for Feb 2023. United States New Listings: sa: New Construction: All Residential data is updated monthly, averaging 69.493 Unit th from Jan 2012 (Median) to Mar 2023, with 135 observations. The data reached an all-time high of 87.314 Unit th in Dec 2020 and a record low of 40.382 Unit th in Mar 2012. United States New Listings: sa: New Construction: All Residential data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB014: New Homes Listed for Sale: Redfin.

This is a listing of all datasets posted to data.gov by the Department of Defense (DoD).

Graph and download economic data for Housing Inventory: Active Listing Count in San Diego County, CA (ACTLISCOU6073) from Jul 2016 to Dec 2024 about San Diego County, CA; San Diego; active listing; CA; listing; and USA.

BEA's Public Data Listing

United States New Listings: Condo/Co-op: Florida data was reported at 8,994.000 Unit th in Jul 2020. This records an increase from the previous number of 8,971.000 Unit th for Jun 2020. United States New Listings: Condo/Co-op: Florida data is updated monthly, averaging 7,574.000 Unit th from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 11,701.000 Unit th in Jan 2020 and a record low of 2,849.000 Unit th in Dec 2012. United States New Listings: Condo/Co-op: Florida data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB032: New Homes Listed for Sale: by States.

Graph and download economic data for Housing Inventory: Active Listing Count in Washington-Arlington-Alexandria, DC-VA-MD-WV (CBSA) (ACTLISCOU47900) from Jul 2016 to May 2025 about DC, Washington, MD, WV, active listing, VA, listing, and USA.

United States New Listings: Multi-Family: Massachusetts data was reported at 741.000 Unit th in Jul 2020. This records an increase from the previous number of 665.000 Unit th for Jun 2020. United States New Listings: Multi-Family: Massachusetts data is updated monthly, averaging 650.500 Unit th from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 945.000 Unit th in May 2018 and a record low of 276.000 Unit th in Dec 2019. United States New Listings: Multi-Family: Massachusetts data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB032: New Homes Listed for Sale: by States.

United States New Listings: All Residential: Texas data was reported at 35,804.000 Unit th in Jul 2020. This records an increase from the previous number of 34,274.000 Unit th for Jun 2020. United States New Listings: All Residential: Texas data is updated monthly, averaging 27,186.500 Unit th from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 39,378.000 Unit th in May 2019 and a record low of 13,048.000 Unit th in Dec 2012. United States New Listings: All Residential: Texas data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB032: New Homes Listed for Sale: by States.

Comprehensive dataset of 11 Data entry services in Michigan, United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Detailed US vacation rental property listing compilation including identifiers, valuation metrics, and tax information from OTAs.

The VR OTA Real Estate dataset provides a detailed real estate listing compilation that includes property identifiers, valuation metrics, physical characteristics, and tax information for vacation rental properties listed on OTAs.

Graph and download economic data for Housing Inventory: Active Listing Count in Charlotte-Concord-Gastonia, NC-SC (CBSA) (ACTLISCOU16740) from Jul 2016 to May 2025 about Charlotte, SC, active listing, NC, listing, and USA.

Graph and download economic data for Housing Inventory: Median Listing Price in Massachusetts (MEDLISPRIMA) from Jul 2016 to May 2025 about MA, listing, median, price, and USA.

Active Listings: All Residential: Oklahoma data was reported at 9,149.000 Unit in Jul 2020. This records a decrease from the previous number of 10,194.000 Unit for Jun 2020. Active Listings: All Residential: Oklahoma data is updated monthly, averaging 14,680.500 Unit from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 17,667.000 Unit in Jun 2015 and a record low of 9,149.000 Unit in Jul 2020. Active Listings: All Residential: Oklahoma data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB036: Active Listings: by States.

Listings w/ Price Drops: sa: All Residential: Brookings, OR data was reported at 29.280 % in Jul 2020. This records an increase from the previous number of 21.845 % for Jun 2020. Listings w/ Price Drops: sa: All Residential: Brookings, OR data is updated monthly, averaging 23.034 % from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 37.044 % in Feb 2020 and a record low of 15.306 % in Feb 2017. Listings w/ Price Drops: sa: All Residential: Brookings, OR data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB042: Listings with Price Drops: by Metropolitan Areas: Seasonally Adjusted.