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

    • statista.com
    Updated Mar 4, 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
    Mar 4, 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 365.8 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 214 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. O

    Property Assessment and Sales - FY25

    • data.norfolk.gov
    • data.virginia.gov
    application/rdfxml +5
    Updated Mar 8, 2025
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    Office of the Real Estate Assessor (2025). Property Assessment and Sales - FY25 [Dataset]. https://data.norfolk.gov/Real-Estate/Property-Assessment-and-Sales-FY25/g7sg-tivf
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    application/rssxml, csv, application/rdfxml, tsv, xml, jsonAvailable download formats
    Dataset updated
    Mar 8, 2025
    Dataset authored and provided by
    Office of the Real Estate Assessor
    Description

    This dataset represents real estate assessment and sales data made available by the Office of the Real Estate Assessor. This dataset contains information for properties in the city, including acreage, square footage, GPIN, street address, year built, current land value, current improvement value, and current total value. The information is obtained from the Office of the Real Estate Assessor ProVal records database. This dataset is updated daily.

  3. ScrapeHero Data Cloud - Free and Easy to use

    • datarade.ai
    .json, .csv
    Updated Feb 8, 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
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    .json, .csvAvailable download formats
    Dataset updated
    Feb 8, 2022
    Dataset provided by
    ScrapeHero
    Authors
    Scrapehero
    Area covered
    Bhutan, Bahamas, Ghana, Dominica, Slovakia, Anguilla, Portugal, Niue, Chad, 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.

  4. d

    Tax Administration's Real Estate - Sales Data.

    • datadiscoverystudio.org
    csv, geojson
    Updated Jun 6, 2018
    + more versions
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    (2018). Tax Administration's Real Estate - Sales Data. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/ae94d8725bd64fccbc1da59bce34180b/html
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    geojson, csvAvailable download formats
    Dataset updated
    Jun 6, 2018
    Description

    description: This table contains property sales information including sale date, price, and amounts for properties within Fairfax County. There is a one to many relationship to the parcel data. Refer to this document for descriptions of the data in the table.; abstract: This table contains property sales information including sale date, price, and amounts for properties within Fairfax County. There is a one to many relationship to the parcel data. Refer to this document for descriptions of the data in the table.

  5. Real Estate Services in New Zealand - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Mar 5, 2025
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    IBISWorld (2025). Real Estate Services in New Zealand - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/nz/industry/real-estate-services/539/
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    Dataset updated
    Mar 5, 2025
    Dataset authored and provided by
    IBISWorld
    Time period covered
    2015 - 2030
    Area covered
    New Zealand
    Description

    The Real Estate Services industry has faced mixed conditions over recent years. Despite the recent improvement in housing supply and the piling up of inventory, prices remain elevated relative to pre-pandemic levels, offsetting revenue declines for real estate agents. A demand-supply imbalance led to historically high housing prices in 2021-22, though tighter loan-to-value ratio (LVR) regulations and heightened interest rates curbed real estate activity and weakened prices over the two years through 2023-24. The bright-line test extension in 2021 cooled speculative investment, diminishing property investors' interest. Residential property transactions plunged in 2022-23 as cost-of-living pressures and soaring borrowing expenses weighed on mortgage affordability. As inflation moderates and the official cash rate has come down since August 2024, sales volumes and demand will pick up. That's why revenue is forecast to climb 2.8% in 2024-25. However, a plunge in property transactions is why revenue is expected to have dipped at an annualised 0.4% over the five years through 2024-25 to $6.2 billion. The commercial market has faced shifting tenant preferences, particularly around remote work arrangements, contributing to elevated office vacancy rates. Nonetheless, booming demand for industrial space and interest in green buildings has yielded new opportunities. Concurrently, the widespread adoption of artificial intelligence has boosted operational efficiency for many real estate agencies, underpinning growth in their profit margins and alleviating some wage pressures. The Coalition government’s reinstatement of 80% interest deductibility for residential investment properties in April 2024, with a plan to reach 100% by April 2025, alongside the rollback of the bright-line test from 10 to 2 years, will spur investor activity and escalate property prices. These policy changes will entice property investors, expanding this market's revenue share over the coming years and benefiting real estate agencies. Consecutive cuts to the official cash rate to counter subdued economic activity will strengthen mortgage affordability and promote a resurgence in the residential property market. However, an expanding housing supply – aided by funding for social housing units and relaxed planning restrictions – will temper price escalation and slow agencies' commission growth over the coming years. Rising competition among real estate agencies and the continued adoption of digital tools, from big data analytics to advanced customer management solutions, will intensify market dynamics, creating opportunities and challenges for prospective and existing agents. Overall, revenue is forecast to climb at an annualised 2.2% over the five years through 2029-30 to $6.9 billion.

  6. O

    Real Property Tax 2018

    • data.montgomerycountymd.gov
    • catalog.data.gov
    • +2more
    application/rdfxml +5
    Updated Oct 3, 2018
    + more versions
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    (2018). Real Property Tax 2018 [Dataset]. https://data.montgomerycountymd.gov/Finance-Tax-Property/Real-Property-Tax-2018/26vm-snmd
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    application/rssxml, application/rdfxml, csv, json, tsv, xmlAvailable download formats
    Dataset updated
    Oct 3, 2018
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    This data represents all of the County’s residential real estate properties and all of the associated tax charges and credits with that property processed at the annual billing in July of each year, excluding any subsequent billing additions and/or revisions throughout the year. This dataset excludes the names of the property owners. The addresses in this database represent the address of the property. For more information about the individual taxes and credits, please go to http://www.montgomerycountymd.gov/finance/taxes/faqs.html#credit.

    Update Frequency: Updated Annually in July

  7. O

    Real Property Tax - 2020

    • data.montgomerycountymd.gov
    Updated Jul 10, 2020
    + more versions
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    Department of Finance (2020). Real Property Tax - 2020 [Dataset]. https://data.montgomerycountymd.gov/Finance-Tax-Property/Real-Property-Tax-2020/q545-92hr
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    xml, csv, application/rdfxml, application/rssxml, tsv, kml, kmz, application/geo+jsonAvailable download formats
    Dataset updated
    Jul 10, 2020
    Dataset authored and provided by
    Department of Finance
    Description

    This data represents all of the County’s residential real estate properties and all of the associated tax charges and credits with that property processed at the annual billing in July of each year, excluding any subsequent billing additions and/or revisions throughout the year. This dataset excludes the names of the property owners. The addresses in this database represent the address of the property. For more information about the individual taxes and credits, please go to http://www.montgomerycountymd.gov/finance/taxes/faqs.html#credit.

    Update Frequency: Updated Annually in July

  8. R

    Data from: Projectt Dataset

    • universe.roboflow.com
    zip
    Updated Sep 9, 2023
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    SMDataset (2023). Projectt Dataset [Dataset]. https://universe.roboflow.com/smdataset-ykzlb/projectt/dataset/3
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    zipAvailable download formats
    Dataset updated
    Sep 9, 2023
    Dataset authored and provided by
    SMDataset
    License

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

    Variables measured
    House Bounding Boxes
    Description

    Here are a few use cases for this project:

    1. Real Estate Platform Enhancement: Integrate Projectt with real estate websites or applications to automatically identify and categorize property listings with house and window-related features, providing potential buyers or renters with a more refined and efficient browsing experience.

    2. Urban Planning and Analysis: Utilize Projectt in urban planning projects to evaluate the density and diversity of house types in a neighborhood or city, using the identified classes of houses and windows to inform zoning regulations or to optimize sustainable urban development.

    3. Historical Architecture Research: Apply Projectt to analyze historical photographs or archival images, enabling researchers to study the evolution of house styles and window designs in different regions over time, aiding in the preservation of architectural heritage.

    4. Augmented Reality (AR) Home Design Apps: Incorporate Projectt into AR home design applications to allow users to visualize how prospective window styles, sizes, and placements might look on their house, making it easier for homeowners to decide on the best options for renovation projects.

    5. Maintenance and Utility Assessment: Leverage Projectt's house and window identification capabilities to streamline infrastructure maintenance tasks, such as identifying areas in need of window replacements or energy upgrades, improving the efficiency of local utility companies and public services.

  9. Single and multiple residential property owners: Demographic data and value...

    • ouvert.canada.ca
    • www150.statcan.gc.ca
    • +2more
    csv, html, xml
    Updated Dec 10, 2024
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    Statistics Canada (2024). Single and multiple residential property owners: Demographic data and value of properties owned [Dataset]. https://ouvert.canada.ca/data/dataset/226dc465-0b86-41f9-9c8c-c4f474557e04
    Explore at:
    csv, html, xmlAvailable download formats
    Dataset updated
    Dec 10, 2024
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Data on resident owners who are persons occupying one of their residential properties: sex, age, total income, the type and the assessment value of the owner-occupied property, as well as the number and the total assessment value of residential properties owned.

  10. V

    Commercial Real Estate Listings

    • data.virginia.gov
    Updated Oct 7, 2022
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    Loudoun County (2022). Commercial Real Estate Listings [Dataset]. https://data.virginia.gov/dataset/commercial-real-estate-listings
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    Dataset updated
    Oct 7, 2022
    Dataset provided by
    Loudoun County GIS
    Authors
    Loudoun County
    Description

    Commercial property for sale or lease provided by CoStar LoopNet

  11. v

    Parcels

    • data.virginia.gov
    csv, html, zip
    Updated Aug 9, 2023
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    City of Roanoke (2023). Parcels [Dataset]. https://data.virginia.gov/dataset/parcels2
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    zip, html, csvAvailable download formats
    Dataset updated
    Aug 9, 2023
    Dataset provided by
    City of Roanoke, VA
    Authors
    City of Roanoke
    Description

    Current land record data and property values from Roanoke City's Real Estate office

  12. Domestic Properties Available for Sale in Hong Kong

    • opendata.esrichina.hk
    • hub.arcgis.com
    Updated Dec 12, 2023
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    Esri China (Hong Kong) Ltd. (2023). Domestic Properties Available for Sale in Hong Kong [Dataset]. https://opendata.esrichina.hk/maps/faea417ddfd6462ba50b95f1785477e9
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    Dataset updated
    Dec 12, 2023
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri China (Hong Kong) Ltd.
    Area covered
    Description

    This web map shows the locations of Domestic Properties Available for Sale under the purview of Government Property Agency in Hong Kong. It is a set of data made available by the Government Property Agency under the Government of Hong Kong Special Administrative Region (the "Government") at https://portal.csdi.gov.hk ("CSDI Portal"). The source data has been processed and converted into Esri File Geodatabase format and uploaded to Esri's ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of Hong Kong CSDI Portal at https://portal.csdi.gov.hk.

  13. Woodland Trust: Sites (3rd Party Data)

    • metadata.naturalresources.wales
    Updated May 30, 2024
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    Woodland Trust (2024). Woodland Trust: Sites (3rd Party Data) [Dataset]. https://metadata.naturalresources.wales/geonetwork/srv/api/records/EXT_DS100843
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    Dataset updated
    May 30, 2024
    Dataset provided by
    The Woodland Trust
    Time period covered
    Jan 3, 2000 - Apr 30, 2002
    Area covered
    Description

    This is a GIS dataset of all Woodland Trust property boundaries. It is an external third party dataset supplied and owned by the Woodland Trust and licensed to Natural Resources Wales (NRW) for internal use only.

  14. Ascent Land Records System

    • hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Aug 30, 2013
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    Walworth County ArcGIS Online (2013). Ascent Land Records System [Dataset]. https://hub.arcgis.com/documents/walco::ascent-land-records-system/about
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    Dataset updated
    Aug 30, 2013
    Dataset provided by
    Authors
    Walworth County ArcGIS Online
    Description

    General UsagePublic users who enter the portal will land at the Parcel Search page by default. The four (4) buttons located on the top navigation bar are used to initiate searches for land parcel and tax information in the system. Note that Sales History is currently a premium feature of the Ascent Land Records Portal and be not be available every county. When the user hovers over a particular button with the mouse pointer, that button will change to the color red.If the user clicks the left mouse button while the button is red, the user will be navigated the specific search screen and will be able to enter search criteria and view the search results. A detailed explanation of each search is provided in the help topics that follow. An overview is provided below and each bullet provides a link to more detail.Parcel Search: Allows a user to locate a real estate tax parcel using one or more search criteria. A search will return the user zero or more candidate results that satisfy the search criteria. The user may then choose a specific real estate tax parcel in order to investigate it in more detail. Survey Search: A survey is an element in the Ascent Land Records System that is always related to one or more parcels. Any parcel created within the Ascent Land Records System must have an associated survey that describes what circumstances resulted in the parcel's creation. Parcels that existed prior to the county's transition to the Ascent Land Records System may not have an associated survey element.Sales History: This search provides the capability to search for property sales for a single municipality within a specified date range. It analyzes and combines data from both the county's property listing database and the county's Register of Deeds database.Plat & Condo Directory: This provides a listing of any subdivision, condominium, cemetery, and transportation plats maintained in this system by the county. Note that this information will only be available if the county department responsible for property listing records manages maintains this information in the Ascent Land Records System.

  15. Invitation of Restricted Tenders or Quotations for Leasing of Non domestic...

    • hub.arcgis.com
    • opendata.esrichina.hk
    Updated Mar 1, 2024
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    Esri China (Hong Kong) Ltd. (2024). Invitation of Restricted Tenders or Quotations for Leasing of Non domestic Properties [Dataset]. https://hub.arcgis.com/maps/68e8d2dba73e4205bb092dd4c6e6a4cf
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    Dataset updated
    Mar 1, 2024
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri China (Hong Kong) Ltd.
    Area covered
    Description

    This web map shows the location of restricted tenders / quotations under invitation in Hong Kong. It is a set of data made available by the Government Property Agency under the Government of Hong Kong Special Administrative Region (the "Government") at https://portal.csdi.gov.hk ("CSDI Portal"). The source data has been processed and converted into Esri File Geodatabase format and uploaded to Esri's ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of Hong Kong CSDI Portal at https://portal.csdi.gov.hk.

  16. Award of Contracts for the Sale of Domestic Properties in Hong Kong

    • hub.arcgis.com
    • opendata.esrichina.hk
    Updated Dec 12, 2023
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    Esri China (Hong Kong) Ltd. (2023). Award of Contracts for the Sale of Domestic Properties in Hong Kong [Dataset]. https://hub.arcgis.com/maps/87198a0822fe4a1d8dd25b982d46e067
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    Dataset updated
    Dec 12, 2023
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri China (Hong Kong) Ltd.
    Area covered
    Description

    This web map shows the awards of contracts for the sale of domestic properties under the purview of Government Property Agency (From 2021 onwards) in Hong Kong. It is a set of data made available by the Government Property Agency under the Government of Hong Kong Special Administrative Region (the "Government") at https://portal.csdi.gov.hk ("CSDI Portal"). The source data has been processed and converted into Esri File Geodatabase format and uploaded to Esri's ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of Hong Kong CSDI Portal at https://portal.csdi.gov.hk.

  17. m

    国際住宅レンタルプラットフォーム市場 規模、シェア、業界分析 2033

    • marketresearchintellect.com
    Updated Sep 8, 2024
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    マーケットリサーチインテレクト (2024). 国際住宅レンタルプラットフォーム市場 規模、シェア、業界分析 2033 [Dataset]. https://www.marketresearchintellect.com/ja/product/international-housing-rental-platform-market/
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    Dataset updated
    Sep 8, 2024
    Dataset authored and provided by
    マーケットリサーチインテレクト
    License

    https://www.marketresearchintellect.com/ja/privacy-policyhttps://www.marketresearchintellect.com/ja/privacy-policy

    Area covered
    Global
    Description

    この市場の規模とシェアは、次の基準で分類されます: Online Rental Platforms (Short-Term Rentals, Long-Term Rentals, Vacation Rentals, Corporate Housing, Subletting) and Property Management Services (Tenant Screening, Rent Collection, Maintenance Services, Property Marketing, Lease Management) and Real Estate Technology (Mobile Applications, Web Portals, Data Analytics, Virtual Tours, Blockchain Solutions) and 地域別(北米、欧州、アジア太平洋、南米、中東およびアフリカ)

  18. Invitation of Tenders for Leasing of Non domestic Properties in Hong Kong

    • data-esrihk.opendata.arcgis.com
    • opendata.esrichina.hk
    • +1more
    Updated Dec 12, 2023
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    Esri China (Hong Kong) Ltd. (2023). Invitation of Tenders for Leasing of Non domestic Properties in Hong Kong [Dataset]. https://data-esrihk.opendata.arcgis.com/maps/14c163612b7d48ebac1c5b439149e552
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    Dataset updated
    Dec 12, 2023
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri China (Hong Kong) Ltd.
    Area covered
    Description

    This web map shows the locations of invitation of Tenders for Leasing of Non-domestic Properties (Automatic Teller Machine Sites / Automatic Vending Machine Sites / Shops / Car Parks) under the purview of Government Property Agency in Hong Kong. It is a set of data made available by the Government Property Agency under the Government of Hong Kong Special Administrative Region (the "Government") at https://portal.csdi.gov.hk ("CSDI Portal"). The source data has been processed and converted into Esri File Geodatabase format and uploaded to Esri's ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of Hong Kong CSDI Portal at https://portal.csdi.gov.hk.

  19. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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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
Mar 4, 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 365.8 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 214 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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