82 datasets found
  1. Leading real estate websites in the U.S. 2020-2024, by monthly visits

    • statista.com
    Updated Jun 20, 2025
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    Statista (2025). Leading real estate websites in the U.S. 2020-2024, by monthly visits [Dataset]. https://www.statista.com/statistics/381468/most-popular-real-estate-websites-by-monthly-visits-usa/
    Explore at:
    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    Zillow reigns supreme in the U.S. real estate website landscape, attracting a staggering ***** million monthly visits in 2024. This figure dwarfs its closest competitor, Realtor.com, which garnered less than half of Zillow's traffic. Online platforms are extremely popular, with the majority of homebuyers using a mobile device during the buying process. The rise of Zillow Founded in 2006, the Seattle-headquartered proptech Zillow has steadily grown over the years, establishing itself as the most popular U.S. real estate website. In 2023, the listing platform recorded about *** million unique monthly users across its mobile applications and website. Despite holding an undisputed position as a market leader, Zillow's revenue has decreased since 2021. A probable cause for the decline is the plummeting of housing transactions and the negative housing sentiment. Performance and trends in the proptech market The proptech market has shown remarkable performance, with companies like Opendoor and Redfin experiencing significant stock price increase in 2023. This growth is particularly notable in the residential brokerage segment. Meanwhile, major players in proptech fundraising, such as Fifth Wall and Hidden Hill Capital, have raised billions in direct investment, further fueling the sector's development. As technology continues to reshape the real estate industry, online platforms like Zillow are likely to play an increasingly crucial role in how people search for and purchase homes. (1477916, 1251604)

  2. Leading real estate websites worldwide 2024, by monthly visits

    • statista.com
    Updated May 14, 2025
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    Statista (2025). Leading real estate websites worldwide 2024, by monthly visits [Dataset]. https://www.statista.com/statistics/1388595/top-real-estate-websites-by-monthly-visits/
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    Dataset updated
    May 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2024 - Dec 2024
    Area covered
    Worldwide
    Description

    Zillow.com was the most-visited real estate website worldwide in 2024, with an average of ************* visits per month during the measured period. Leboncoin.fr ranked second, with ***** million monthly visits, while Carigslist.org ranked third, with ***** million average accesses.

  3. Popular features of property websites in the U.S. 2024

    • statista.com
    Updated Jun 11, 2025
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    Statista (2025). Popular features of property websites in the U.S. 2024 [Dataset]. https://www.statista.com/statistics/1048532/frequency-online-website-for-home-searching-usa/
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    Dataset updated
    Jun 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 2023 - Jun 2024
    Area covered
    United States
    Description

    In 2024, U.S. homebuyers considered photos and the detailed information about a home listing as the most valuable features of real estate websites. Additionally, ** percent of respondents cited virtual listings as very useful, while ** percent listed flor plans.

  4. d

    Real Estate Data | Property Listing, Sold Properties, Rankings, Agent...

    • datarade.ai
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    Grepsr, Real Estate Data | Property Listing, Sold Properties, Rankings, Agent Datasets | Global Coverage | For Competitive Property Pricing and Investment [Dataset]. https://datarade.ai/data-products/real-estate-property-data-grepsr-grepsr
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    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset authored and provided by
    Grepsr
    Area covered
    Spain, Holy See, South Sudan, Tonga, Kuwait, Australia, Congo (Democratic Republic of the), Iraq, Kazakhstan, Malaysia
    Description

    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
  5. d

    Grepsr | Real Estate Products, Property Listing, Sold Properties, Rankings,...

    • datarade.ai
    Updated Apr 23, 2024
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    Grepsr (2024). Grepsr | Real Estate Products, Property Listing, Sold Properties, Rankings, Agent Datasets | Middle East Coverage with Custom and On-demand Datasets [Dataset]. https://datarade.ai/data-products/grepsr-real-estate-products-property-listing-sold-propert-grepsr
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Apr 23, 2024
    Dataset authored and provided by
    Grepsr
    Area covered
    Yemen, Qatar, Iran (Islamic Republic of), Jordan, Iraq, Lebanon, United Arab Emirates, Saudi Arabia, Oman, Bahrain, Middle East
    Description

    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
  6. b

    Real Estate Dataset

    • brightdata.com
    .json, .csv, .xlsx
    Updated Sep 11, 2022
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    Bright Data (2022). Real Estate Dataset [Dataset]. https://brightdata.com/products/datasets/real-estate
    Explore at:
    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    Sep 11, 2022
    Dataset authored and provided by
    Bright Data
    License

    https://brightdata.com/licensehttps://brightdata.com/license

    Area covered
    Worldwide
    Description

    Real estate datasets from various websites cover all major real estate data points including: property type, size, location, price, bedrooms, baths, address, history, images, and much more. Popular use cases include: forecast housing demand, analyze price fluctuations, improve customer satisfaction, see past prices to monitor market trends, and more.

  7. Use of property websites for real estate purchase in the UK 2015

    • statista.com
    Updated Mar 11, 2015
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    Statista (2015). Use of property websites for real estate purchase in the UK 2015 [Dataset]. https://www.statista.com/statistics/486214/use-of-property-websites-to-buy-a-property-united-kingdom-adults/
    Explore at:
    Dataset updated
    Mar 11, 2015
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2015
    Area covered
    United Kingdom
    Description

    This statistic presents the real estate websites that proved most popular among people who hunt for properties to purchase in the United Kingdom in 2015. One ****** of respondents said they would use all three websites: Rightmove, Zoopla and OnTheMarket. However, OnTheMarket only had *** percent of respondents reporting they would use the site alone.

  8. Redfin properties dataset

    • crawlfeeds.com
    csv, zip
    Updated Jun 13, 2025
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    Crawl Feeds (2025). Redfin properties dataset [Dataset]. https://crawlfeeds.com/datasets/redfin-properties-dataset
    Explore at:
    zip, csvAvailable download formats
    Dataset updated
    Jun 13, 2025
    Dataset authored and provided by
    Crawl Feeds
    License

    https://crawlfeeds.com/privacy_policyhttps://crawlfeeds.com/privacy_policy

    Description

    Our dataset features comprehensive housing market data, extracted from 250,000 records sourced directly from Redfin USA. Our Crawl Feeds team utilized proprietary in-house tools to meticulously scrape and compile this valuable data.

    Key Benefits of Our Housing Market Data:

    • In-Depth Market Analysis: Gain insights into the real estate market with up-to-date data on recently sold properties.

    • Price Trend Identification: Track and analyze price trends across different cities.

    • Accurate Price Estimation: Estimate property values based on key factors such as area, number of beds and baths, square footage, and more.

    • Detailed Real Estate Statistics: Access detailed statistics segmented by zip code, area, and state.

    Unlock the Power of Redfin Data for Real Estate Professionals

    Leveraging our Redfin properties dataset allows real estate professionals to make data-driven decisions. With detailed insights into property listings, sales history, and pricing trends, agents and investors can identify opportunities in the market more effectively. The data is particularly useful for comparing neighborhood trends, understanding market demand, and making informed investment decisions.

    Enhance Your Real Estate Research with Custom Filters and Analysis

    Our Redfin dataset is not only extensive but also customizable, allowing users to apply filters based on specific criteria such as property type, listing status, and geographic location. This flexibility enables researchers and analysts to drill down into the data, uncovering patterns and insights that can guide strategic planning and market entry decisions. Whether you're tracking the performance of single-family homes or exploring multi-family property trends, this dataset offers the depth and accuracy needed for thorough analysis.

    Looking for deeper insights or a custom data pull from Redfin?
    Send a request with just one click and explore detailed property listings, price trends, and housing data.
    🔗 Request Redfin Real Estate Data

  9. 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, Ghana, Slovakia, Anguilla, Portugal, Niue, Bahrain, Chad
    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.

  10. 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
    United States
    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.

  11. Most visited real estate portals in Poland 2023, by unique visitors

    • statista.com
    Updated Jul 7, 2025
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    Statista (2025). Most visited real estate portals in Poland 2023, by unique visitors [Dataset]. https://www.statista.com/statistics/1434281/poland-most-visited-real-estate-portals-by-by-unique-visitors/
    Explore at:
    Dataset updated
    Jul 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Poland
    Description

    The most popular real estate website in Poland was Otodom, visited by over *** million unique visitors per month in 2023.

  12. Cotality Multiple Listing Service

    • redivis.com
    application/jsonl +7
    Updated Sep 11, 2024
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    Stanford University Libraries (2024). Cotality 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

    Title: Cotality Multiple Listing Service (MLS)

    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 Cotality Multiple Listing Service data contains listings from 135 real estate boards utilizing Cotality's multiple listing service software. The data was produced in August 2024.

    Formerly known as CoreLogic Multiple Listing Service (MLS).

    Methodology

    The data consists of listings from 135 real estate boards that use Cotality 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 Cotality 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 Cotality 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.

  13. d

    Zillow Real Estate Data Extraction | Real-time Real Estate Market Data | No...

    • datarade.ai
    Updated Nov 7, 2023
    + more versions
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    APISCRAPY (2023). Zillow Real Estate Data Extraction | Real-time Real Estate Market Data | No Infra Cost | Pre-built AI & Automation | 50% Cost Saving | Free Sample [Dataset]. https://datarade.ai/data-products/zillow-real-estate-data-extraction-real-time-real-estate-ma-apiscrapy
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Nov 7, 2023
    Dataset authored and provided by
    APISCRAPY
    Area covered
    Albania, Canada, Portugal, Bulgaria, Liechtenstein, Belgium, Croatia, Isle of Man, Spain, Iceland
    Description

    Note:- Only publicly available data can be worked upon

    APISCRAPY collects and organizes data from Zillow's massive database, whether it's property characteristics, market trends, pricing histories, or more. Because of APISCRAPY's first-rate data extraction services, tracking property values, examining neighborhood trends, and monitoring housing market variations become a straightforward and efficient process.

    APISCRAPY's Zillow real estate data scraping service offers numerous advantages for individuals and businesses seeking valuable insights into the real estate market. Here are key benefits associated with their advanced data extraction technology:

    1. Real-time Zillow Real Estate Data: Users can access real-time data from Zillow, providing timely updates on property listings, market dynamics, and other critical factors. This real-time information is invaluable for making informed decisions in a fast-paced real estate environment.

    2. Data Customization: APISCRAPY allows users to customize the data extraction process, tailoring it to their specific needs. This flexibility ensures that the extracted Zillow real estate data aligns precisely with the user's requirements.

    3. Precision and Accuracy: The advanced algorithms utilized by APISCRAPY enhance the precision and accuracy of the extracted Zillow real estate data. This reliability is crucial for making well-informed decisions related to property investments and market trends.

    4. Efficient Data Extraction: APISCRAPY's technology streamlines the data extraction process, saving users time and effort. The efficiency of the extraction workflow ensures that users can access the desired Zillow real estate data without unnecessary delays.

    5. User-friendly Interface: APISCRAPY provides a user-friendly interface, making it accessible for individuals and businesses to navigate and utilize the Zillow real estate data scraping service with ease.

    APISCRAPY provides real-time real estate market data drawn from Zillow, ensuring that consumers have access to the most up-to-date and comprehensive real estate insights available. Our real-time real estate market data services aren't simply a game changer in today's dynamic real estate landscape; they're an absolute requirement.

    Our dedication to offering high-quality real estate data extraction services is based on the utilization of Zillow Real Estate Data. APISCRAPY's integration of Zillow Real Estate Data sets it different from the competition, whether you're a seasoned real estate professional or a homeowner wanting to sell, buy, or invest.

    APISCRAPY's data extraction is a key element, and it is an automated and smooth procedure that is at the heart of the platform's operation. Our platform gathers Zillow real estate data quickly and offers it in an easily consumable format with the click of a button.

    [Tags;- Zillow real estate scraper, Zillow data, Zillow API, Zillow scraper, Zillow web scraping tool, Zillow data extraction, Zillow Real estate data, Zillow scraper, Zillow scraping API, Zillow real estate da extraction, Extract Real estate Data, Property Listing Data, Real estate Data, Real estate Data sets, Real estate market data, Real estate data extraction, real estate web scraping, real estate api, real estate data api, real estate web scraping, web scraping real estate data, scraping real estate data, real estate scraper, best real, estate api, web scraping real estate, api real estate, Zillow scraping software ]

  14. realtor.com Website Traffic, Ranking, Analytics [July 2025]

    • semrush.com
    Updated Aug 12, 2025
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    Semrush (2025). realtor.com Website Traffic, Ranking, Analytics [July 2025] [Dataset]. https://www.semrush.com/website/realtor.com/overview/
    Explore at:
    Dataset updated
    Aug 12, 2025
    Dataset authored and provided by
    Semrushhttps://fr.semrush.com/
    License

    https://www.semrush.com/company/legal/terms-of-service/https://www.semrush.com/company/legal/terms-of-service/

    Time period covered
    Aug 12, 2025
    Area covered
    Worldwide
    Variables measured
    visits, backlinks, bounceRate, pagesPerVisit, authorityScore, organicKeywords, avgVisitDuration, referringDomains, trafficByCountry, paidSearchTraffic, and 3 more
    Measurement technique
    Semrush Traffic Analytics; Click-stream data
    Description

    realtor.com is ranked #85 in US with 105.45M Traffic. Categories: Online Services, Real Estate. Learn more about website traffic, market share, and more!

  15. f

    The Property Group | Properties Data | Real Estate Data

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

    The Property Group is a leading real estate organization that provides expert guidance throughout the home buying and selling process. With a strong presence in Little Rock, Arkansas, the company has established itself as a trusted partner for individuals and families seeking to buy, sell, or rent properties. The Property Group's expert agents are well-versed in local market trends, ensuring that clients receive tailored solutions to their unique needs.

    Through their user-friendly website, The Property Group offers a range of resources and tools for homebuyers, including exclusive property listings, neighborhood information, and real-time market reports. Whether buying or selling a home, clients can rely on the company's dedicated professionals to navigate the complex process with ease. With a focus on transparency, efficiency, and personalized attention, The Property Group has earned a reputation as a top choice for those seeking a seamless and stress-free real estate experience.

  16. m

    Structural attributes, locational information and prices of more than 139...

    • data.mendeley.com
    Updated Aug 25, 2018
    + more versions
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    Rahimberdi Annamoradnejad (2018). Structural attributes, locational information and prices of more than 139 thousand apartment real estate listings in the city of Tehran (Iran) [Dataset]. http://doi.org/10.17632/h8vxj78pm9.1
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    Dataset updated
    Aug 25, 2018
    Authors
    Rahimberdi Annamoradnejad
    License

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

    Area covered
    Iran, Tehran
    Description

    The dataset contains structural attributes, locational information and prices for more than 139 thousand apartments in the city of Tehran (Iran). The data was collected from the largest national real estate website using a web crawler and contains submission date, exact location, neighborhood name, base area, floor level, age of building, price per square meter, and total price for the entries of the past four years.

  17. d

    Residential Real Estate Data | USA Coverage | 74% Right Party Contact Rate |...

    • datarade.ai
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    BatchData, Residential Real Estate Data | USA Coverage | 74% Right Party Contact Rate | BatchData [Dataset]. https://datarade.ai/data-products/batchservice-real-estate-data-150-million-us-property-records-batchservice
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    .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset authored and provided by
    BatchData
    Area covered
    United States of America
    Description

    BatchData provides access to 150+ million residential and commercial properties and property owners, covering 99+% of the us population. Enrich records, build lists, or power real estate websites and application based on:

    • Property Type
    • Property Owner Info
    • Building Characteristics
    • MLS Listing Details
    • Foreclosure Information
    • Distress Factors
    • Mortgage Details
    • Household Demographics
    • Ownership/Vacancy Status
    • Home Equity
    • Real Estate Valuation
    • Property Liens
    • Transfer of Sale, Probate, Inherited
    • Much more!

    BatchData is both a data and technology company, offering multiple self-service platforms, APIs and professional services solutions to meet your specific data needs. Whether you're looking for residential real estate data, commercial real estate data, property listing and transaction data, we've got you covered!

    BatchData is the most comprehensive aggregator of US property and homeowner information, known for accuracy and completeness of records. BatchService can also provides homeowner and agency contact information for residential and commercial properties, including cell phone number and emails.

  18. Global Real Estate CMA Software Market Size By Functionality, By Deployment...

    • verifiedmarketresearch.com
    Updated Apr 19, 2024
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    VERIFIED MARKET RESEARCH (2024). Global Real Estate CMA Software Market Size By Functionality, By Deployment Model, By Geographic Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/real-estate-cma-software-market/
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    Dataset updated
    Apr 19, 2024
    Dataset provided by
    Verified Market Researchhttps://www.verifiedmarketresearch.com/
    Authors
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2024 - 2031
    Area covered
    Global
    Description

    Real Estate CMA Software Market size was valued at USD 5.1 Billion in 2024 and is projected to reach USD 8.62 Billion by 2031, growing at a CAGR of 7.1% during the forecasted period 2024 to 2031

    Global Real Estate CMA Software Market Drivers

    Growing Need for Data-driven Decision-Making: Real estate agents are depending more and more on analytics and data to help them make wise choices. With the use of CMA software, which offers thorough data analysis and insights into comparable sales, market trends, and property values, agents and brokers can more successfully negotiate transactions, set listing prices, and evaluate properties with accuracy.

    Requirement for a Competitive Advantage: In the current competitive real estate market, brokerages and agents look for solutions that set them apart from rivals and improve the value they offer to clients. Agents can dazzle customers and acquire more listings by using the sophisticated features of CMA software to create professional-looking comparative market assessments, customisable presentations, and interactive reports.

    Growing Significance of Engaging Clients: Gaining trust, cultivating relationships, and closing deals in the real estate sector depend on offering clients individualized and engaging experiences. Through visually appealing presentations, interactive maps, and dynamic charts that provide market data and property information in an engaging and understandable manner, agents may effectively engage clients with the help of CMA software.

    Simplifying the Listing Presentation Process: Real estate marketing and client acquisition heavily depend on the preparation and delivery of listing presentations. With the help of CMA software, agents can rapidly create professional-looking reports, add branding elements, and show prospective sellers the features, amenities, and market comparisons of their properties. The process of making bespoke listing presentations is also made more efficient and automated.

    Integration with Various Data Sources: To obtain thorough and current market data, CMA software integrates with a variety of data sources, such as MLS (Multiple Listing Service) databases, property tax records, public documents, and third-party data providers. The accuracy and reliability of CMAs are increased by this integration, which gives agents access to reliable property information, historical sales data, area demographics, and market statistics.

    Efficiency and Time Savings: CMA software saves agents time and effort while creating market studies by automating repetitive operations including data collecting, analysis, and report preparation. CMA software increases efficiency by optimizing workflow procedures and decreasing manual data input, freeing up agents to concentrate more on interacting with clients, generating leads, and completing sales.

    Use of sophisticated Technologies: The real estate sector is changing as a result of the use of sophisticated technologies including machine learning (ML), artificial intelligence (AI), and predictive analytics. CMA software helps agents predict market trends, pricing swings, and changes in property worth by using AI and ML algorithms to scan massive information, spot patterns, and produce predictive insights.

    Remote Work and Virtual Collaboration: The COVID-19 epidemic has hastened the trend toward remote work and virtual collaboration, which has raised demand for digital solutions that facilitate communication and cooperation from a distance. Agents can make virtual listing presentations, electronically communicate information with clients, and work in real-time team collaborations regardless of their physical locations thanks to CMA software.

    Accuracy and Regulatory Compliance: Real estate transactions must adhere to a number of rules and regulations, such as ethical norms, disclosure legislation, and fair housing laws. By offering precise and impartial market evaluations and assisting agents in avoiding the possible legal ramifications of overpricing or underpricing properties, CMA software helps them maintain compliance.

    Globalization and Market Expansion: The need for CMA software with international capabilities is driven by the growth of real estate brokerages into new geographic areas and the globalization of real estate markets. Agents can serve clients in a variety of global marketplaces thanks to multilingual support, currency conversion, and localization tools, which facilitate cross-border transactions and global expansion strategies.

  19. D

    Carbon-Smart Real Estate Listing Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jun 28, 2025
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    Dataintelo (2025). Carbon-Smart Real Estate Listing Market Research Report 2033 [Dataset]. https://dataintelo.com/report/carbon-smart-real-estate-listing-market
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    pdf, csv, pptxAvailable download formats
    Dataset updated
    Jun 28, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Carbon-Smart Real Estate Listing Market Outlook



    According to our latest research, the global Carbon-Smart Real Estate Listing market size reached $2.1 billion in 2024, reflecting robust momentum driven by increasing environmental regulations and a growing demand for sustainable property solutions. The market is projected to grow at a CAGR of 17.5% from 2025 to 2033, reaching a forecasted market size of $10.7 billion by 2033. This expansion is primarily fueled by the tightening of climate policies, rising investor interest in ESG-compliant assets, and the digital transformation of the real estate sector, which is increasingly integrating carbon intelligence into property transactions and management.




    One of the primary growth factors propelling the Carbon-Smart Real Estate Listing market is the rapid evolution of environmental regulations across major economies. Governments and regulatory bodies are imposing stricter guidelines on building emissions, energy efficiency, and sustainability disclosures. As a result, real estate stakeholders are compelled to adopt carbon-smart technologies and listing platforms that enable transparent reporting and compliance. This regulatory push is particularly pronounced in the European Union, North America, and select Asia Pacific markets, where carbon neutrality targets are being aggressively pursued. The growing prevalence of green building codes and mandatory carbon tracking is making carbon-smart listings not just a value-add but a necessity for market participation.




    In addition to regulatory drivers, shifting consumer and investor preferences are playing a substantial role in shaping market dynamics. Modern tenants, buyers, and institutional investors are increasingly prioritizing properties with credible sustainability credentials. This trend is catalyzed by a broader societal shift towards environmental responsibility and the recognition that sustainable properties offer long-term value, lower operational costs, and reduced risk of obsolescence. Carbon-smart real estate listings, which provide granular data on energy efficiency, carbon footprints, and green certifications, are thus becoming a critical differentiator in both residential and commercial markets. The ability to showcase a property’s sustainability profile is emerging as a key factor in property selection, investment decisions, and rental negotiations.




    Technological advancements are also significantly accelerating the adoption of carbon-smart real estate solutions. The integration of IoT sensors, AI-driven analytics, blockchain for transparent certification, and cloud-based platforms has enabled the collection, analysis, and dissemination of property-level sustainability data at an unprecedented scale. These innovations are making it easier for real estate agencies, property owners, and investors to access, verify, and act upon carbon-related information. Furthermore, the rise of proptech startups and partnerships between technology providers and established real estate firms are fostering a dynamic ecosystem that supports continuous product innovation and market penetration. As digital infrastructure becomes more sophisticated, the barriers to entry for carbon-smart listings are diminishing, further driving market growth.




    From a regional perspective, the market exhibits strong growth in North America and Europe, where policy frameworks and capital market pressures are most mature. The Asia Pacific region is rapidly catching up, spurred by urbanization, regulatory reforms, and the increasing adoption of green building standards in markets like China, Japan, and Australia. Latin America and the Middle East & Africa, while currently representing smaller shares, are expected to witness accelerated adoption as sustainability awareness spreads and international investors demand higher transparency. Regional disparities in market maturity are largely dictated by differences in regulatory environments, technological readiness, and the pace of urban development.



    Property Type Analysis



    The Carbon-Smart Real Estate Listing market by property type is segmented into Residential, Commercial, Industrial, and Mixed-Use properties, each demonstrating unique adoption dynamics and growth trajectories. The residential segment is currently the largest, underpinned by growing consumer demand for sustainable homes and increasing regulatory mandates on energy efficiency in new and existing housing stock. Homebuyers and ren

  20. e

    RWI Real Estate Data - Campus File Cross-Section CUF - Dataset - B2FIND

    • b2find.eudat.eu
    Updated Aug 12, 2025
    + more versions
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    (2025). RWI Real Estate Data - Campus File Cross-Section CUF - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/1b1d395f-140c-5bff-b08d-4d7d09ba18a4
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    Dataset updated
    Aug 12, 2025
    Description

    ImmobilienScout24 is the largest real estate internet platform in Germany. Properties for private as well as commercial use are offered on the website. However, the data only cover residential properties. The dataset covers most characteristics collected on the platform like price, size and characteristics of the housing unit but also automatically generated items like the duration of the advertisement spell. Sampled Universe: All houses for sale, all apartments for sale and all apartments for rent at ImmobilienScout24 Sampling: Stratified random sample Collection Mode: Observation.ComputerBased Unit Type: HousingUnit Number of Units: 763013

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Statista (2025). Leading real estate websites in the U.S. 2020-2024, by monthly visits [Dataset]. https://www.statista.com/statistics/381468/most-popular-real-estate-websites-by-monthly-visits-usa/
Organization logo

Leading real estate websites in the U.S. 2020-2024, by monthly visits

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8 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jun 20, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2024
Area covered
United States
Description

Zillow reigns supreme in the U.S. real estate website landscape, attracting a staggering ***** million monthly visits in 2024. This figure dwarfs its closest competitor, Realtor.com, which garnered less than half of Zillow's traffic. Online platforms are extremely popular, with the majority of homebuyers using a mobile device during the buying process. The rise of Zillow Founded in 2006, the Seattle-headquartered proptech Zillow has steadily grown over the years, establishing itself as the most popular U.S. real estate website. In 2023, the listing platform recorded about *** million unique monthly users across its mobile applications and website. Despite holding an undisputed position as a market leader, Zillow's revenue has decreased since 2021. A probable cause for the decline is the plummeting of housing transactions and the negative housing sentiment. Performance and trends in the proptech market The proptech market has shown remarkable performance, with companies like Opendoor and Redfin experiencing significant stock price increase in 2023. This growth is particularly notable in the residential brokerage segment. Meanwhile, major players in proptech fundraising, such as Fifth Wall and Hidden Hill Capital, have raised billions in direct investment, further fueling the sector's development. As technology continues to reshape the real estate industry, online platforms like Zillow are likely to play an increasingly crucial role in how people search for and purchase homes. (1477916, 1251604)

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