100+ datasets found
  1. d

    Realtor Property Data, Realtor Data, Realtor API, Property Owner Data,...

    • datarade.ai
    Updated Jan 13, 2024
    + more versions
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    APISCRAPY (2024). Realtor Property Data, Realtor Data, Realtor API, Property Owner Data, Scrape All Publicly Available Property Listings & Data - Easy to Integrate. [Dataset]. https://datarade.ai/data-products/realtor-property-data-realtor-data-realtor-api-zillow-prop-apiscrapy
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Jan 13, 2024
    Dataset authored and provided by
    APISCRAPY
    Area covered
    Sweden, China, Japan, Croatia, Guernsey, Romania, Lithuania, United Kingdom, Norway, Monaco
    Description

    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.

  2. F

    Housing Inventory: Median Days on Market in the United States

    • fred.stlouisfed.org
    json
    Updated Jul 10, 2025
    + more versions
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    (2025). Housing Inventory: Median Days on Market in the United States [Dataset]. https://fred.stlouisfed.org/series/MEDDAYONMARUS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 10, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    United States
    Description

    Graph and download economic data for Housing Inventory: Median Days on Market in the United States (MEDDAYONMARUS) from Jul 2016 to Jun 2025 about median and USA.

  3. CoreLogic Multiple Listing Service

    • redivis.com
    application/jsonl +7
    Updated Sep 11, 2024
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    Stanford University Libraries (2024). CoreLogic Multiple Listing Service [Dataset]. http://doi.org/10.57761/cx2z-qr20
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    parquet, arrow, application/jsonl, sas, spss, stata, csv, avroAvailable download formats
    Dataset updated
    Sep 11, 2024
    Dataset provided by
    Redivis Inc.
    Authors
    Stanford University Libraries
    Description

    Abstract

    A multiple listing service (MLS) is an exchange where real estate brokers share information about properties they are selling. Other real estate brokers review the listings, and are compensated if they can identify a buyer for a property. Multiple listing services promote cooperation and mutual benefit for real estate brokers representing buyers and sellers. The CoreLogic Multiple Listing Service data contains listings from 135 real estate boards utilizing CoreLogic’s multiple listing service software. The data was produced in August 2024.

    Methodology

    The data consists of listings from 135 real estate boards that use CoreLogic listing software. The data DOES NOT cover listings from all real estate boards in the United States. The National Association of Realtors maintains the most complete and up-to-date list of real estate boards; however, this information is only available to members of the National Association of Realtors.

    For more information about how the data was prepared for Redivis, please see CoreLogic 2024 GitLab.

    Usage

    Quick Search (QS) contains the most recent listing data (as of August 2024). In order to see the entire listing history of a property/record, you will need to search the Quick History (QH) table on the SysPropertyID, which is a unique key for a listing across multiple listing boards. You can use the variable FA_PostDate to see when updates occurred. Updates include name changes, price changes, etc.

    During upload to Data Farm, a small number of invalid records were dropped from the Quick History (QH) table. For more information, see CoreLogic 2024 GitLab. To access the complete data (including invalid records), please see Bulk Data Access instructions, below.

    Bulk Data Access

    Data access is required to view this section.

  4. m

    Scrape Real Estate Data 10x Faster From All Real Estate Sites & Database in...

    • apiscrapy.mydatastorefront.com
    Updated Feb 5, 2024
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    APISCRAPY (2024). Scrape Real Estate Data 10x Faster From All Real Estate Sites & Database in USA & Worldwide - Zillow.com, Realtor.com, trulia.com, Century21, Redfin [Dataset]. https://apiscrapy.mydatastorefront.com/products/scrape-data-10x-faster-from-all-real-estate-sites-database-apiscrapy
    Explore at:
    Dataset updated
    Feb 5, 2024
    Dataset authored and provided by
    APISCRAPY
    Area covered
    Portugal, Estonia, Belarus, Japan, Svalbard and Jan Mayen, Montenegro, Faroe Islands, Sweden, United States, Albania
    Description

    Gain access to comprehensive real estate data from all major real estate property listing sites in the USA, Canada, UK, and other countries with our expert real estate scraping service. Unlock valuable insights from Zillow, Realtor.com, Trulia, Redfin, and more.

  5. Residential Real Estate Market Analysis, Size, and Forecast 2025-2029: North...

    • technavio.com
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    Technavio, Residential Real Estate Market Analysis, Size, and Forecast 2025-2029: North America (US, Canada, and Mexico), Europe (France, Germany, and UK), APAC (Australia, Japan, and South Korea), South America (Brazil), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/residential-real-estate-market-analysis
    Explore at:
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    United Kingdom, Mexico, Germany, Europe, Japan, United States, Canada, Global
    Description

    Snapshot img

    Residential Real Estate Market Size 2025-2029

    The residential real estate market size is forecast to increase by USD 485.2 billion at a CAGR of 4.5% between 2024 and 2029.

    The market is experiencing significant growth, fueled by increasing marketing initiatives that attract potential buyers and tenants. This trend is driven by the rising demand for housing solutions that cater to the evolving needs of consumers, particularly in urban areas. However, the market's growth trajectory is not without challenges. Regulatory uncertainty looms large, with changing policies and regulations posing a significant threat to market stability. Notably, innovative smart home technologies, such as voice-activated assistants and energy-efficient appliances, are gaining traction, offering enhanced convenience and sustainability for homeowners.
    As such, companies seeking to capitalize on the opportunities presented by the growing the market must navigate these challenges with agility and foresight. The residential construction industry's expansion is driven by urbanization and the rising standard of living in emerging economies, including India, China, Thailand, Malaysia, and Indonesia. By staying abreast of regulatory changes and implementing innovative marketing strategies, they can effectively meet the evolving needs of consumers and maintain a competitive edge. These regulatory shifts can impact everything from property prices to financing options, making it crucial for market players to stay informed and adapt quickly.
    

    What will be the Size of the Residential Real Estate Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
    Request Free Sample

    In the dynamic housing market analysis, small flats continue to be a popular choice for both investors and first-time homebuyers, driven by affordability and urban growth. International investment in housing projects, including apartments and condominiums, remains strong, offering attractive investment returns. Real estate syndication and property management software facilitate efficient property ownership and management. Real estate loans, property insurance, and urban planning are essential components of the housing market, ensuring the development of affordable housing and addressing the needs of the middle class and upper middle class. Property disputes, property tax assessments, and real estate litigation are ongoing challenges, requiring careful attention from stakeholders.
    Property search engines streamline the process of finding the perfect property, from studio apartments to luxury homes. Real estate auctions, land banking, and nano apartments are innovative solutions in the market, while property flipping and short sales provide opportunities for savvy investors. Urban growth and community development are key trends, with a focus on sustainable, planned cities and the integration of technology, such as real estate blockchain, into the industry. Developers secure building permits, review inspection reports, and manage escrow accounts during real estate transactions. Key services include contract negotiation, dispute resolution, and tailored investment strategies for portfolio management. Financial aspects cover tax implications, estate planning, retirement planning, taxdeferred exchanges, capital gains, tax deductions, and maintaining positive cash flow for sustained returns.
    

    How is this Residential Real Estate Industry segmented?

    The residential real estate industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Mode Of Booking
    
      Sales
      Rental or lease
    
    
    Type
    
      Apartments and condominiums
      Landed houses and villas
    
    
    Location
    
      Urban
      Suburban
      Rural
    
    
    End-user
    
      Mid-range housing
      Affordable housing
      Luxury housing
    
    
    Geography
    
      North America
    
        US
        Canada
        Mexico
    
    
      Europe
    
        France
        Germany
        UK
    
    
      APAC
    
        Australia
        Japan
        South Korea
    
    
      South America
    
        Brazil
    
    
      Rest of World (ROW)
    

    By Mode Of Booking Insights

    The sales segment is estimated to witness significant growth during the forecast period. The sales segment dominates the global residential real estate market and will continue to dominate during the forecast period. The sales segment includes the sale of any property that is majorly used for residential purposes, such as single-family homes, condos, cooperatives, duplexes, townhouses, and multifamily residences. With the growing population and urbanization, the demand for homes is also increasing, which is the major factor driving the growth of the sales segment. Moreover, real estate firms work with developers to sel

  6. F

    Median Sales Price of Houses Sold for the United States

    • fred.stlouisfed.org
    json
    Updated Apr 23, 2025
    + more versions
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    (2025). Median Sales Price of Houses Sold for the United States [Dataset]. https://fred.stlouisfed.org/series/MSPUS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 23, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Median Sales Price of Houses Sold for the United States (MSPUS) from Q1 1963 to Q1 2025 about sales, median, housing, and USA.

  7. ScrapeHero Data Cloud - Free and Easy to use

    • datarade.ai
    .json, .csv
    Updated Apr 11, 2022
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    Scrapehero (2022). ScrapeHero Data Cloud - Free and Easy to use [Dataset]. https://datarade.ai/data-products/scrapehero-data-cloud-free-and-easy-to-use-scrapehero
    Explore at:
    .json, .csvAvailable download formats
    Dataset updated
    Apr 11, 2022
    Dataset provided by
    ScrapeHero
    Authors
    Scrapehero
    Area covered
    Bhutan, Bahamas, Dominica, Portugal, Ghana, Niue, Chad, Slovakia, Anguilla, Bahrain
    Description

    The Easiest Way to Collect Data from the Internet Download anything you see on the internet into spreadsheets within a few clicks using our ready-made web crawlers or a few lines of code using our APIs

    We have made it as simple as possible to collect data from websites

    Easy to Use Crawlers Amazon Product Details and Pricing Scraper Amazon Product Details and Pricing Scraper Get product information, pricing, FBA, best seller rank, and much more from Amazon.

    Google Maps Search Results Google Maps Search Results Get details like place name, phone number, address, website, ratings, and open hours from Google Maps or Google Places search results.

    Twitter Scraper Twitter Scraper Get tweets, Twitter handle, content, number of replies, number of retweets, and more. All you need to provide is a URL to a profile, hashtag, or an advance search URL from Twitter.

    Amazon Product Reviews and Ratings Amazon Product Reviews and Ratings Get customer reviews for any product on Amazon and get details like product name, brand, reviews and ratings, and more from Amazon.

    Google Reviews Scraper Google Reviews Scraper Scrape Google reviews and get details like business or location name, address, review, ratings, and more for business and places.

    Walmart Product Details & Pricing Walmart Product Details & Pricing Get the product name, pricing, number of ratings, reviews, product images, URL other product-related data from Walmart.

    Amazon Search Results Scraper Amazon Search Results Scraper Get product search rank, pricing, availability, best seller rank, and much more from Amazon.

    Amazon Best Sellers Amazon Best Sellers Get the bestseller rank, product name, pricing, number of ratings, rating, product images, and more from any Amazon Bestseller List.

    Google Search Scraper Google Search Scraper Scrape Google search results and get details like search rank, paid and organic results, knowledge graph, related search results, and more.

    Walmart Product Reviews & Ratings Walmart Product Reviews & Ratings Get customer reviews for any product on Walmart.com and get details like product name, brand, reviews, and ratings.

    Scrape Emails and Contact Details Scrape Emails and Contact Details Get emails, addresses, contact numbers, social media links from any website.

    Walmart Search Results Scraper Walmart Search Results Scraper Get Product details such as pricing, availability, reviews, ratings, and more from Walmart search results and categories.

    Glassdoor Job Listings Glassdoor Job Listings Scrape job details such as job title, salary, job description, location, company name, number of reviews, and ratings from Glassdoor.

    Indeed Job Listings Indeed Job Listings Scrape job details such as job title, salary, job description, location, company name, number of reviews, and ratings from Indeed.

    LinkedIn Jobs Scraper Premium LinkedIn Jobs Scraper Scrape job listings on LinkedIn and extract job details such as job title, job description, location, company name, number of reviews, and more.

    Redfin Scraper Premium Redfin Scraper Scrape real estate listings from Redfin. Extract property details such as address, price, mortgage, redfin estimate, broker name and more.

    Yelp Business Details Scraper Yelp Business Details Scraper Scrape business details from Yelp such as phone number, address, website, and more from Yelp search and business details page.

    Zillow Scraper Premium Zillow Scraper Scrape real estate listings from Zillow. Extract property details such as address, price, Broker, broker name and more.

    Amazon product offers and third party sellers Amazon product offers and third party sellers Get product pricing, delivery details, FBA, seller details, and much more from the Amazon offer listing page.

    Realtor Scraper Premium Realtor Scraper Scrape real estate listings from Realtor.com. Extract property details such as Address, Price, Area, Broker and more.

    Target Product Details & Pricing Target Product Details & Pricing Get product details from search results and category pages such as pricing, availability, rating, reviews, and 20+ data points from Target.

    Trulia Scraper Premium Trulia Scraper Scrape real estate listings from Trulia. Extract property details such as Address, Price, Area, Mortgage and more.

    Amazon Customer FAQs Amazon Customer FAQs Get FAQs for any product on Amazon and get details like the question, answer, answered user name, and more.

    Yellow Pages Scraper Yellow Pages Scraper Get details like business name, phone number, address, website, ratings, and more from Yellow Pages search results.

  8. m

    Zillow Real Estate Data | Real-time Real Estate Market Data | No Infra Cost...

    • apiscrapy.mydatastorefront.com
    Updated Nov 19, 2024
    + more versions
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    APISCRAPY (2024). Zillow Real Estate Data | Real-time Real Estate Market Data | No Infra Cost | Pre-built AI & Automation | 50% Cost Saving | Free Sample [Dataset]. https://apiscrapy.mydatastorefront.com/products/apiscrapy-amazon-reviews-data-amazon-review-ratings-review-apiscrapy
    Explore at:
    Dataset updated
    Nov 19, 2024
    Dataset authored and provided by
    APISCRAPY
    Area covered
    Poland, Italy, Ukraine, Switzerland, Monaco, Luxembourg, Slovenia, Ireland, Hungary, Serbia
    Description

    With Zillow Real Estate Data at its core, it excels in real-time Data Extraction, delivering up-to-the-minute and comprehensive Real Estate Market Data. APISCRAPY's Data Extraction services are your key to staying informed in today's fast-paced real estate landscape.

  9. d

    Premium Residential | MLS Property Listing Data | USA Real Estate...

    • datarade.ai
    .json
    Updated Jun 7, 2025
    + more versions
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    REdistribute (2025). Premium Residential | MLS Property Listing Data | USA Real Estate Transaction Data | 750k+ On-Market Records [Dataset]. https://datarade.ai/data-products/premium-residential-access-redistribute-s-direct-source-mls-realchemy
    Explore at:
    .jsonAvailable download formats
    Dataset updated
    Jun 7, 2025
    Dataset authored and provided by
    REdistribute
    Area covered
    United States of America
    Description

    Unlock access to premium residential listing data, with a comprehensive set of fields designed to empower your business with deeper insights and the most up-to-date information.

    Key features: • Residential Data Type: Access to high-quality residential data to enhance your business analysis • Comprehensive Fields: A wide array of fields (800+) that offer a thorough view of residential property data • Fast & Fresh: Updated daily with data sourced directly from MLSs

    The sample data covers one listing in JSON format. For access to a broader set of sample listings (10,000+), reach out to the REdistribute sales contact.

    ABOUT REDISTRIBUTE

    REdistribute aims to modernize real estate data accessibility, fostering innovation and transparency through direct access to the most reliable MLS data. Our commitment to data integrity and direct MLS involvement guarantees the freshest, most accurate insights, empowering businesses across industries to drive innovation and make informed decisions.

  10. United States House Prices Growth

    • ceicdata.com
    Updated Nov 27, 2021
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    CEICdata.com (2021). United States House Prices Growth [Dataset]. https://www.ceicdata.com/en/indicator/united-states/house-prices-growth
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    Dataset updated
    Nov 27, 2021
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2022 - Dec 1, 2024
    Area covered
    United States
    Description

    Key information about House Prices Growth

    • US house prices grew 5.2% YoY in Dec 2024, following an increase of 5.4% YoY in the previous quarter.
    • YoY growth data is updated quarterly, available from Mar 1992 to Dec 2024, with an average growth rate of 5.4%.
    • House price data reached an all-time high of 17.7% in Sep 2021 and a record low of -12.4% in Dec 2008.

    CEIC calculates House Prices Growth from quarterly House Price Index. Federal Housing Finance Agency provides House Price Index with base January 1991=100.

  11. F

    Housing Inventory: Active Listing Count in the United States

    • fred.stlouisfed.org
    json
    Updated Jul 10, 2025
    + more versions
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    (2025). Housing Inventory: Active Listing Count in the United States [Dataset]. https://fred.stlouisfed.org/series/ACTLISCOUUS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 10, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    United States
    Description

    Graph and download economic data for Housing Inventory: Active Listing Count in the United States (ACTLISCOUUS) from Jul 2016 to Jun 2025 about active listing, listing, and USA.

  12. House-price-to-income ratio in selected countries worldwide 2024

    • statista.com
    • ai-chatbox.pro
    Updated May 6, 2025
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    Statista (2025). House-price-to-income ratio in selected countries worldwide 2024 [Dataset]. https://www.statista.com/statistics/237529/price-to-income-ratio-of-housing-worldwide/
    Explore at:
    Dataset updated
    May 6, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    Portugal, Canada, and the United States were the countries with the highest house price to income ratio in 2024. In all three countries, the index exceeded 130 index points, while the average for all OECD countries stood at 116.2 index points. The index measures the development of housing affordability and is calculated by dividing nominal house price by nominal disposable income per head, with 2015 set as a base year when the index amounted to 100. An index value of 120, for example, would mean that house price growth has outpaced income growth by 20 percent since 2015. How have house prices worldwide changed since the COVID-19 pandemic? House prices started to rise gradually after the global financial crisis (2007–2008), but this trend accelerated with the pandemic. The countries with advanced economies, which usually have mature housing markets, experienced stronger growth than countries with emerging economies. Real house price growth (accounting for inflation) peaked in 2022 and has since lost some of the gain. Although, many countries experienced a decline in house prices, the global house price index shows that property prices in 2023 were still substantially higher than before COVID-19. Renting vs. buying In the past, house prices have grown faster than rents. However, the home affordability has been declining notably, with a direct impact on rental prices. As people struggle to buy a property of their own, they often turn to rental accommodation. This has resulted in a growing demand for rental apartments and soaring rental prices.

  13. N

    North America Industrial Real Estate Market Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Nov 22, 2024
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    Data Insights Market (2024). North America Industrial Real Estate Market Report [Dataset]. https://www.datainsightsmarket.com/reports/north-america-industrial-real-estate-market-17281
    Explore at:
    ppt, pdf, docAvailable download formats
    Dataset updated
    Nov 22, 2024
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    North America
    Variables measured
    Market Size
    Description

    The size of the North America Industrial Real Estate Market was valued at USD XX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 4.50">> 4.50% during the forecast period. Industrial real estate refers to properties specifically designed for manufacturing, logistics, warehousing, and distribution activities. This sector encompasses a diverse range of property types, including factories, distribution centers, warehouses, and research and development facilities. Over the past few years, the industrial real estate market has seen significant growth, largely driven by the rise of e-commerce, globalization, and advancements in technology. The surge in online shopping has increased demand for efficient logistics and distribution centers, prompting companies to seek out strategically located industrial spaces to enhance their supply chain capabilities. These properties are typically situated near major transportation hubs, such as highways, railroads, and ports, facilitating the rapid movement of goods. Furthermore, the growing trend of just-in-time inventory management has led to an emphasis on proximity to urban centers, allowing businesses to respond quickly to consumer needs. Key drivers for this market are: 4., Increasing demand for green construction to reduce carbon footprint4.; Introduction of technology for manufactruing the of building construction material. Potential restraints include: 4., High cost of purchasing the equipment for development and manufacturing of various construction material. Notable trends are: Increasing Rental Prices of Office Spaces.

  14. Vacancy rate in selected data center markets in the U.S. H2 2024

    • statista.com
    Updated Mar 19, 2025
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    Statista Research Department (2025). Vacancy rate in selected data center markets in the U.S. H2 2024 [Dataset]. https://www.statista.com/topics/7902/data-center-real-estate/
    Explore at:
    Dataset updated
    Mar 19, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    In the second half of 2024, the average vacancy rate of data centers in Portland and Eastern Oregon was under one percent. On the other hand, NYC-NJ had a vacancy rate exceeding nine percent.

  15. d

    Premium Multi-Class | MLS Listing Data - All Property Types | USA Real...

    • datarade.ai
    .json
    Updated Jun 8, 2025
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    REdistribute (2025). Premium Multi-Class | MLS Listing Data - All Property Types | USA Real Estate Market Data | 975k+ On-Market Records [Dataset]. https://datarade.ai/data-products/direct-source-mls-property-listing-data-redistribute-realchemy
    Explore at:
    .jsonAvailable download formats
    Dataset updated
    Jun 8, 2025
    Dataset authored and provided by
    REdistribute
    Area covered
    United States of America
    Description

    Unlock access to all available property types, from multi-family and rental to land, commercial listings and more - powering your business with richer data and the ability to uncover new insights.

    Key features: • New Property Types: Access all available property types within an MLS, covering residential, multi-family, land, commercial, rental, farm and more. • MLS Coverage: Available for select MLSs now, with additional markets becoming available throughout 2025 • Expanded Schema: New fields to support non-residential data, so you can dive deeper into insights • Fast & Fresh: Updated daily with data sourced directly from MLSs

    The sample data covers one listing in JSON format. For access to a broader set of sample listings (10,000+), reach out to the REdistribute sales contact.

    ABOUT REDISTRIBUTE

    REdistribute aims to modernize real estate data accessibility, fostering innovation and transparency through direct access to the most reliable MLS data. Our commitment to data integrity and direct MLS involvement guarantees the freshest, most accurate insights, empowering businesses across industries to drive innovation and make informed decisions.

  16. house-price-predictions

    • kaggle.com
    Updated Apr 22, 2020
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    Khaja Syed (2020). house-price-predictions [Dataset]. https://www.kaggle.com/datasets/khajasyedml/housepricepredictions/metadata
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 22, 2020
    Dataset provided by
    Kaggle
    Authors
    Khaja Syed
    Description

    (https://www.kaggle.com/c/house-prices-advanced-regression-techniques) About this Dataset Start here if... You have some experience with R or Python and machine learning basics. This is a perfect competition for data science students who have completed an online course in machine learning and are looking to expand their skill set before trying a featured competition.

    Competition Description

    Ask a home buyer to describe their dream house, and they probably won't begin with the height of the basement ceiling or the proximity to an east-west railroad. But this playground competition's dataset proves that much more influences price negotiations than the number of bedrooms or a white-picket fence.

    With 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa, this competition challenges you to predict the final price of each home.

    Practice Skills Creative feature engineering Advanced regression techniques like random forest and gradient boosting Acknowledgments The Ames Housing dataset was compiled by Dean De Cock for use in data science education. It's an incredible alternative for data scientists looking for a modernized and expanded version of the often cited Boston Housing dataset.

    Context

    There's a story behind every dataset and here's your opportunity to share yours.

    Content

    What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too.

    Acknowledgements

    We wouldn't be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research.

    Inspiration

    Your data will be in front of the world's largest data science community. What questions do you want to see answered?

  17. R

    Real Estate Agents Apps Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated May 19, 2025
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    Data Insights Market (2025). Real Estate Agents Apps Report [Dataset]. https://www.datainsightsmarket.com/reports/real-estate-agents-apps-528430
    Explore at:
    ppt, doc, pdfAvailable download formats
    Dataset updated
    May 19, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global market for real estate agent apps is experiencing robust growth, driven by the increasing adoption of mobile technology and the need for enhanced efficiency and client engagement in the real estate sector. The market, estimated at $2.5 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $7.8 billion by 2033. This growth is fueled by several key factors. Firstly, the rising preference for mobile-first solutions among both agents and clients streamlines communication, property showcasing, and transaction management. Secondly, the integration of advanced features like virtual tours, CRM integration, and marketing tools within these apps provides a competitive edge for real estate agents, leading to increased adoption. Furthermore, the expanding availability of high-speed internet and affordable smartphones across various regions is significantly boosting market penetration, particularly in emerging economies. While the Enterprise segment currently holds a larger market share, the Individual segment is experiencing faster growth driven by the ease of use and affordability of these apps. Both Android and iOS platforms are witnessing significant traction, indicating strong cross-platform appeal. However, market growth faces certain challenges. These include the high initial investment required for app development and maintenance, the need for continuous updates to stay competitive with evolving technology, and potential security concerns related to sensitive client data. Furthermore, regulatory changes and data privacy regulations could also pose challenges for the industry. Despite these constraints, the overall market outlook remains highly positive, driven by the long-term trend of digital transformation within the real estate sector and the continued demand for convenient and efficient real estate solutions. The competitive landscape is characterized by a mix of established players and emerging startups, leading to continuous innovation and improved functionality within the real estate agent app market.

  18. f

    Yoursouthtampahome.com | Properties Data | Real Estate Data

    • datastore.forage.ai
    Updated Sep 22, 2024
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    (2024). Yoursouthtampahome.com | Properties Data | Real Estate Data [Dataset]. https://datastore.forage.ai/searchresults/?resource_keyword=Property%20Listings
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    Dataset updated
    Sep 22, 2024
    Description

    Yoursouthtampahome.com is a real estate company specializing in property listings and information for the South Tampa area. With a focus on providing detailed and up-to-date data, the company aims to help individuals and families find their dream homes. Their website is a valuable resource for anyone looking to buy, sell, or rent a property in South Tampa, offering a comprehensive view of the local real estate market.

    Yoursouthtampahome.com is a trusted source of information for property seekers, with a vast database of listings, sales data, and market trends. By providing easy access to this critical information, the company helps individuals make informed decisions in their home buying or selling journey.

  19. d

    Home Ownership Data | USA Coverage | 74% Right Party Contact Rate |...

    • datarade.ai
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    BatchService, Home Ownership Data | USA Coverage | 74% Right Party Contact Rate | BatchData [Dataset]. https://datarade.ai/data-products/batchservice-home-ownership-data-us-87-million-property-o-batchservice
    Explore at:
    .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset authored and provided by
    BatchService
    Area covered
    United States of America
    Description

    BatchData provides comprehensive home ownership data for 87 million owners of residential homes in the US. We specialize in providing accurate contact information for owners of specific properties, trusted by some of the largest real estate companies for our superior capabilities in accurately unmasking owners of properties that may be hidden behind LLCs and corporate veils.

    Our home ownership data is commonly used to fuel targeted marketing campaigns, generating real estate insights, powering websites/applications with real estate intelligence, and enriching sales and marketing databases with accurate homeowner contact information and surrounding intelligence to improve segmentation and targeting.

    Home ownership data that is linked to a given property includes: - Homeowner Name(s) - Homeowner Cell Phone Number - Homeowner Email Address - Homeowner Mailing Address - Addresses of Properties Owned - Homeowner Portfolio Equity - Total Number of Properties Owned - Property Characteristics of Properties Owned - Homeowner sales, loan, and mortgage information - Property Occupancy Status of Properties Owned - Property Valuation & ARV information of Properties Owned - Ownership Length - Ownership History - Homeowner Age - Homeowner Marital Status - Homeowner Income - and more!

    BatchService is both a data and technology company helping companies in and around the real estate ecosystem achieve faster growth. BatchService specializes in providing accurate B2B and B2C contact data for US property owners, including in-depth intelligence and actionable insights related to their property. Our portfolio of products, services, and go-to-market expertise help companies identify their target market, reach the right prospects, enrich their data, consolidate their data providers, and power their products and services.

  20. F

    Real Residential Property Prices for Canada

    • fred.stlouisfed.org
    json
    Updated Jun 26, 2025
    + more versions
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    (2025). Real Residential Property Prices for Canada [Dataset]. https://fred.stlouisfed.org/series/QCAR368BIS
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    jsonAvailable download formats
    Dataset updated
    Jun 26, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    Canada
    Description

    Graph and download economic data for Real Residential Property Prices for Canada (QCAR368BIS) from Q1 1971 to Q1 2025 about Canada, residential, housing, real, and price.

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APISCRAPY (2024). Realtor Property Data, Realtor Data, Realtor API, Property Owner Data, Scrape All Publicly Available Property Listings & Data - Easy to Integrate. [Dataset]. https://datarade.ai/data-products/realtor-property-data-realtor-data-realtor-api-zillow-prop-apiscrapy

Realtor Property Data, Realtor Data, Realtor API, Property Owner Data, Scrape All Publicly Available Property Listings & Data - Easy to Integrate.

Explore at:
.bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
Dataset updated
Jan 13, 2024
Dataset authored and provided by
APISCRAPY
Area covered
Sweden, China, Japan, Croatia, Guernsey, Romania, Lithuania, United Kingdom, Norway, Monaco
Description

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.

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