10 datasets found
  1. 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.

  2. Zillow Datasets

    • brightdata.com
    .json, .csv, .xlsx
    Updated Dec 19, 2022
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    Bright Data (2022). Zillow Datasets [Dataset]. https://brightdata.com/products/datasets/zillow
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    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    Dec 19, 2022
    Dataset authored and provided by
    Bright Datahttps://brightdata.com/
    License

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

    Area covered
    Worldwide
    Description

    Gain a complete view of the real estate market with our Zillow datasets. Track price trends, rental/sale status, and price per square foot with the Zillow Price History dataset and explore detailed listings with prices, locations, and features using the Zillow Properties Listing dataset. Over 134M records available Price starts at $250/100K records Data formats are available in JSON, NDJSON, CSV, XLSX and Parquet. 100% ethical and compliant data collection Included datapoints:

    Zpid
    City
    State
    Home Status
    Street Address
    Zipcode
    Home Type
    Living Area Value
    Bedrooms
    Bathrooms
    Price
    Property Type
    Date Sold
    Annual Homeowners Insurance
    Price Per Square Foot
    Rent Zestimate
    Tax Assessed Value
    Zestimate
    Home Values
    Lot Area
    Lot Area Unit
    Living Area
    Living Area Units
    Property Tax Rate
    Page View Count
    Favorite Count
    Time On Zillow
    Time Zone
    Abbreviated Address
    Brokerage Name
    And much more
    
  3. Zoopla Datasets

    • brightdata.com
    .json, .csv, .xlsx
    Updated Jul 23, 2024
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    Bright Data (2024). Zoopla Datasets [Dataset]. https://brightdata.com/products/datasets/zoopla
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    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    Jul 23, 2024
    Dataset authored and provided by
    Bright Datahttps://brightdata.com/
    License

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

    Area covered
    Worldwide
    Description

    The Zoopla Dataset provides a detailed repository of information covering property listings available on the Zoopla platform. Tailored to support businesses, researchers, and analysts in the real estate sector, this dataset delivers valuable insights into market trends, property valuations, and consumer preferences within the real estate market.

    With key attributes such as property details, pricing data, location information, and listing history, users can conduct thorough analyses to refine property investment strategies, assess market demand, and identify emerging trends.

    Whether you're a real estate agent seeking to enhance your property listings, a researcher investigating trends in the housing market, or an analyst aiming to refine investment strategies, the Zoopla Dataset serves as an essential resource for unlocking opportunities and driving success in the competitive landscape of real estate

  4. b

    Data from: New York housing Dataset

    • brightdata.com
    .json, .csv, .xlsx
    Updated Jun 3, 2024
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    Bright Data (2024). New York housing Dataset [Dataset]. https://brightdata.com/products/datasets/real-estate/new-york-housing
    Explore at:
    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    Jun 3, 2024
    Dataset authored and provided by
    Bright Data
    License

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

    Area covered
    New York, Worldwide
    Description

    Enrich your real estate strategies and market insights with our comprehensive New York Housing dataset. Analyzing this dataset can aid in understanding housing market dynamics and trends, empowering organizations to refine their investment strategies and business decisions. Access the entire dataset or tailor a subset to fit your requirements.

    Popular use cases include optimizing investment strategies based on neighborhood engagement and property popularity, performing detailed user behavior analysis and segmentation by housing type, price range, and location to tailor marketing and engagement efforts, and identifying and forecasting emerging trends in the New York housing market to stay ahead in the competitive real estate industry.

  5. w

    Global Multiple Listing Service Listing Software Market Research Report: By...

    • wiseguyreports.com
    Updated Dec 3, 2024
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    wWiseguy Research Consultants Pvt Ltd (2024). Global Multiple Listing Service Listing Software Market Research Report: By Deployment Type (Cloud-Based, On-Premises), By Application (Residential Listing, Commercial Listing, Rental Listing), By User Type (Real Estate Agents, Property Managers, Brokerage Firms, Developers), By Features (Data Analytics, Integration with CRM, Mobile Access, Lead Generation) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2032. [Dataset]. https://www.wiseguyreports.com/reports/multiple-listing-service-listing-software-market
    Explore at:
    Dataset updated
    Dec 3, 2024
    Dataset authored and provided by
    wWiseguy Research Consultants Pvt Ltd
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Area covered
    Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2024
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 20235.87(USD Billion)
    MARKET SIZE 20246.39(USD Billion)
    MARKET SIZE 203212.5(USD Billion)
    SEGMENTS COVEREDDeployment Type, Application, User Type, Features, Regional
    COUNTRIES COVEREDNorth America, Europe, APAC, South America, MEA
    KEY MARKET DYNAMICSTechnological advancements, Increasing real estate transactions, Growing demand for integrated solutions, Rise of mobile applications, Need for data analytics tools
    MARKET FORECAST UNITSUSD Billion
    KEY COMPANIES PROFILEDFlexmls, iHomefinder, Realtor.com, MLSListings, Rapattoni Corporation, ListingPro, BrokerMint, Clever Real Estate, Bright MLS, CoreLogic, Locatify, ShowMojo, Zillow Group, Realtyna, Propertybase
    MARKET FORECAST PERIOD2025 - 2032
    KEY MARKET OPPORTUNITIESIncreased demand for mobile access, Integration with AI and machine learning, Growing trends in cloud-based solutions, Expansion of global real estate markets, Enhanced user experience through automation
    COMPOUND ANNUAL GROWTH RATE (CAGR) 8.75% (2025 - 2032)
  6. 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/new-zealand/industry/real-estate-services/539/
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    Dataset updated
    Mar 5, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    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.

  7. P

    Property Photography Service Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jul 5, 2025
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    Data Insights Market (2025). Property Photography Service Report [Dataset]. https://www.datainsightsmarket.com/reports/property-photography-service-492654
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    pdf, doc, pptAvailable download formats
    Dataset updated
    Jul 5, 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 property photography services market, currently valued at $2.429 billion (2025), is experiencing robust growth, projected at a Compound Annual Growth Rate (CAGR) of 5.2% from 2025 to 2033. This expansion is driven by several key factors. The increasing reliance on high-quality online property listings by real estate agents and developers is a primary catalyst. Consumers are increasingly visually-driven in their property searches, demanding professional photography to showcase properties effectively. Furthermore, technological advancements, such as the use of virtual tours and drone photography, are enhancing the appeal and effectiveness of online property presentations, fueling market growth. The rise of online real estate platforms, emphasizing visually rich content, further accelerates market expansion. Competition among real estate professionals to attract buyers or renters is also a significant contributing factor, leading to increased investment in professional photography services. Several segments within the property photography market contribute to its overall growth. While specific segment data isn't provided, it's reasonable to assume that segments like residential photography, commercial property photography, and virtual tours each hold significant market shares, reflecting diverse client needs. The competitive landscape is populated by numerous companies, ranging from large firms offering comprehensive services to smaller, specialized businesses. The continued market expansion necessitates ongoing innovation, including adaptation to new technologies and evolving consumer preferences for visual content in the real estate sector. Geographical variations in market size and growth rate are expected, with regions experiencing rapid real estate development likely exhibiting faster growth. This dynamic interplay of factors suggests a bright outlook for the property photography services market, with consistent expansion anticipated throughout the forecast period.

  8. b

    Seattle housing Dataset

    • brightdata.com
    .json, .csv, .xlsx
    Updated Jun 3, 2024
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    Bright Data (2024). Seattle housing Dataset [Dataset]. https://brightdata.com/products/datasets/real-estate/seattle-housing
    Explore at:
    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    Jun 3, 2024
    Dataset authored and provided by
    Bright Data
    License

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

    Area covered
    Seattle, Worldwide
    Description

    Enrich your real estate strategies and market insights with our comprehensive Seattle housing dataset. Analyzing this dataset can aid in understanding housing market dynamics and trends, empowering organizations to refine their investment strategies and business decisions. Access the entire dataset or tailor a subset to fit your requirements.

    Popular use cases include optimizing investment strategies based on neighborhood engagement and property popularity, performing detailed user behavior analysis and segmentation by housing type, price range, and location to tailor marketing and engagement efforts, and identifying and forecasting emerging trends in the Seattle housing market to stay ahead in the competitive real estate industry.

  9. N

    New York Data Center Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 29, 2025
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    Market Report Analytics (2025). New York Data Center Market Report [Dataset]. https://www.marketreportanalytics.com/reports/new-york-data-center-market-88975
    Explore at:
    doc, ppt, pdfAvailable download formats
    Dataset updated
    Apr 29, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

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

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

    The New York data center market is experiencing robust growth, driven by increasing demand for cloud computing, big data analytics, and the expansion of digital infrastructure within the city and surrounding regions. The market's substantial size, coupled with a projected Compound Annual Growth Rate (CAGR) of 9.30%, indicates a significant investment opportunity. Key drivers include the concentration of major financial institutions (BFSI), media companies, and technology firms in New York, necessitating robust and reliable data center capacity. The substantial number of colocation facilities catering to various user types (retail, wholesale, hyperscale) reflects this high demand. Furthermore, the significant presence of Tier 1 & 2 data centers suggests a strong emphasis on high-availability and low-latency connectivity, crucial for mission-critical applications. Growth is further fueled by the increasing adoption of edge computing strategies to reduce latency and improve application performance. While potential restraints might include high real estate costs and regulatory hurdles, these are likely to be offset by the long-term growth drivers and the strategic importance of New York as a global financial and technological hub. Despite the market's maturity, substantial growth opportunities remain. Segmentation reveals a strong emphasis on large and mega data centers capable of housing significant IT infrastructure. The robust presence of hyperscale colocation options underscores the prevalence of cloud service providers and significant data-intensive enterprises within the region. Continued expansion in sectors like e-commerce, media & entertainment, and government initiatives for digital transformation further contribute to the market's dynamism. Future growth will likely hinge on investments in sustainable infrastructure, enhanced cybersecurity measures, and the development of interconnected data center ecosystems capable of supporting evolving technological demands. A focus on improving connectivity, particularly 5G and fiber optic networks, will be critical in maintaining New York's competitive edge within the global data center landscape. Recent developments include: July 2024 - TeraWulf gets approval for more data centers at Lake Mariner campus in New York, The preliminary site plan seems to suggest the next phase of construction will consist of two data center buildings - one with 50MW of capacity and the other with 20MW. The other two buildings will be for electrical switch gear or a dry cooler yard., July 2024 - Artificial Intelligence has seen a huge pick-up in demand in the past several years – and the bright lights of New York are attracting data centers.They are being leased out of Manhattan from 60 Hudson Street to 32 Avenue of the Americas as co-location centers, according to Tony Gulotta, principal in charge at NYC office for global tax firm, Ryan LLC. He has worked with data center providers in the city.. Notable trends are: Tier III Data Center Are Anticipated to Show Noticeable Growth During the Forecast Period..

  10. b

    Nashville housing Dataset

    • brightdata.com
    .json, .csv, .xlsx
    Updated Jun 3, 2024
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    Bright Data (2024). Nashville housing Dataset [Dataset]. https://brightdata.com/products/datasets/real-estate/nashville-housing
    Explore at:
    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    Jun 3, 2024
    Dataset authored and provided by
    Bright Data
    License

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

    Area covered
    Nashville, Worldwide
    Description

    Enrich your real estate strategies and market insights with our comprehensive Nashville housing dataset. Analyzing this dataset can aid in understanding housing market dynamics and trends, empowering organizations to refine their investment strategies and business decisions. Access the entire dataset or tailor a subset to fit your requirements.

    Popular use cases include optimizing investment strategies based on neighborhood engagement and property popularity, performing detailed user behavior analysis and segmentation by housing type, price range, and location to tailor marketing and engagement efforts, and identifying and forecasting emerging trends in the Nashville housing market to stay ahead in the competitive real estate industry.

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

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Bright Data (2022). Real Estate Dataset [Dataset]. https://brightdata.com/products/datasets/real-estate

Real Estate Dataset

Explore at:
2 scholarly articles cite this dataset (View in Google Scholar)
.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.

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