100+ datasets found
  1. 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
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset authored and provided by
    Grepsr
    Area covered
    Malaysia, Congo (Democratic Republic of the), Iraq, Australia, Spain, Kazakhstan, South Sudan, Tonga, Kuwait, Holy See
    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
  2. d

    Property Owner Data | USA Coverage

    • datarade.ai
    .csv
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    BIGDBM, Property Owner Data | USA Coverage [Dataset]. https://datarade.ai/data-products/bigdbm-us-commercial-property-real-estate-data-bigdbm
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    .csvAvailable download formats
    Dataset authored and provided by
    BIGDBM
    Area covered
    United States
    Description

    The US Consumer Commercial Property/Real Estate file has 30 million+ non-residential properties which include property characteristics, site details, purchase details, tax details, and ownership information.

    We have developed this file to be tied to our Consumer and B2B Database so additional data fields can be applied to the owners. Each record is ranked by confidence and only the highest quality data is used.

    Note - all Consumer packages can include necessary PII (address, email, phone, DOB, etc.) for merging, linking, and activation of the data.

    BIGDBM Privacy Policy: https://bigdbm.com/privacy.html

  3. 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
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    .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.

  4. d

    Real Estate Sales 2001-2023 GL

    • catalog.data.gov
    • data.ct.gov
    Updated Aug 23, 2025
    + more versions
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    data.ct.gov (2025). Real Estate Sales 2001-2023 GL [Dataset]. https://catalog.data.gov/dataset/real-estate-sales-2001-2018
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    Dataset updated
    Aug 23, 2025
    Dataset provided by
    data.ct.gov
    Description

    The Office of Policy and Management maintains a listing of all real estate sales with a sales price of $2,000 or greater that occur between October 1 and September 30 of each year. For each sale record, the file includes: town, property address, date of sale, property type (residential, apartment, commercial, industrial or vacant land), sales price, and property assessment. Data are collected in accordance with Connecticut General Statutes, section 10-261a and 10-261b: https://www.cga.ct.gov/current/pub/chap_172.htm#sec_10-261a and https://www.cga.ct.gov/current/pub/chap_172.htm#sec_10-261b. Annual real estate sales are reported by grand list year (October 1 through September 30 each year). For instance, sales from 2018 GL are from 10/01/2018 through 9/30/2019. Some municipalities may not report data for certain years because when a municipality implements a revaluation, they are not required to submit sales data for the twelve months following implementation.

  5. 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
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    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.

  6. F

    Median Sales Price of Houses Sold for the United States

    • fred.stlouisfed.org
    json
    Updated Jul 24, 2025
    + more versions
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    (2025). Median Sales Price of Houses Sold for the United States [Dataset]. https://fred.stlouisfed.org/series/MSPUS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 24, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Median Sales Price of Houses Sold for the United States (MSPUS) from Q1 1963 to Q2 2025 about sales, median, housing, and USA.

  7. 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.

  8. d

    NEW HOMEOWNERS DATA - US DATABASE OF ALL HOMEOWNERS. MORE THAN 130 MILLION...

    • datarade.ai
    .json, .xml, .csv
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    VentiveIQ, NEW HOMEOWNERS DATA - US DATABASE OF ALL HOMEOWNERS. MORE THAN 130 MILLION DATBASE OF PROPERTIES INCLUDING, HOME, COMMERCIAL PROPERTY. [Dataset]. https://datarade.ai/data-products/new-homeowners-data-us-database-of-all-homeowners-more-tha-ventiveiq
    Explore at:
    .json, .xml, .csvAvailable download formats
    Dataset authored and provided by
    VentiveIQ
    Area covered
    United States of America
    Description

    Multiple advantages with Home Owner Data Set: Increase campaign ROI with personalized and targeted engagements. Utilize predictive real estate data attributes such as home value, purchase date, property descriptors, and mortgage information. Focus resources on high-value prospects and their preferences Maximize conversions with personalized marketing campaigns featuring relevant real estate intelligence. Engage your target audience with messaging tailored to their interests and needs.

  9. f

    Yoursouthtampahome.com | Properties Data | Real Estate Data

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

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

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

  10. V

    Tax Administration's Real Estate - Sales Data

    • data.virginia.gov
    • datasets.ai
    • +3more
    Updated Aug 31, 2025
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    Fairfax County (2025). Tax Administration's Real Estate - Sales Data [Dataset]. https://data.virginia.gov/dataset/tax-administrations-real-estate-sales-data
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    html, csv, geojson, kml, arcgis geoservices rest api, zipAvailable download formats
    Dataset updated
    Aug 31, 2025
    Dataset provided by
    County of Fairfax
    Authors
    Fairfax County
    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.

  11. R

    Residential Real Estate Market in the United States Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Mar 7, 2025
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    Data Insights Market (2025). Residential Real Estate Market in the United States Report [Dataset]. https://www.datainsightsmarket.com/reports/residential-real-estate-market-in-the-united-states-17275
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    doc, pdf, pptAvailable download formats
    Dataset updated
    Mar 7, 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, United States
    Variables measured
    Market Size
    Description

    The US residential real estate market, a cornerstone of the American economy, is projected to experience steady growth over the next decade. While the provided CAGR of 2.04% is a modest figure, it reflects a market maturing after a period of significant expansion. This sustained growth is driven by several key factors. Firstly, population growth and urbanization continue to fuel demand for housing, particularly in densely populated areas and emerging suburban markets. Secondly, low interest rates (historically, though this can fluctuate) have made mortgages more accessible, stimulating buyer activity. Thirdly, a robust construction sector, though facing challenges in material costs and labor shortages, is gradually increasing the housing supply, mitigating some of the upward pressure on prices. However, challenges remain. Rising inflation and potential interest rate hikes pose a risk to affordability, potentially dampening demand. Furthermore, the ongoing evolution of remote work is reshaping residential preferences, with a shift toward larger homes in suburban or exurban locations. This trend impacts the relative demand for various property types, potentially increasing the appeal of landed houses and villas compared to apartments and condominiums in certain regions. The segmentation of the market into apartments/condominiums and landed houses/villas provides crucial insights into consumer preferences and investment strategies. High-density urban areas will continue to see strong demand for apartments and condos, while suburban and rural areas are likely to experience a greater increase in landed property sales. Major players like Simon Property Group, Mill Creek Residential, and others are strategically adapting to these trends, focusing on both development and management across various property types and geographic locations. Analyzing regional data within the US (e.g., comparing growth in the Northeast versus the Southwest) will highlight market nuances and potential investment opportunities. While the global data provided is valuable for understanding broader market forces, focusing the analysis on the US market allows for a more granular understanding of the specific drivers, trends, and challenges within this significant segment of the real estate sector. The forecast period (2025-2033) suggests continued, albeit measured, expansion. Recent developments include: May 2022: Resource REIT Inc. completed the sale of all of its outstanding shares of common stock to Blackstone Real Estate Income Trust Inc. for USD 14.75 per share in an all-cash deal valued at USD 3.7 billion, including the assumption of the REIT's debt., February 2022: The largest owner of commercial real estate in the world and private equity company Blackstone is growing its portfolio of residential rentals and commercial properties in the United States. The company revealed that it would shell out about USD 6 billion to buy Preferred Apartment Communities, an Atlanta-based real estate investment trust that owns 44 multifamily communities and roughly 12,000 homes in the Southeast, mostly in Atlanta, Nashville, Charlotte, North Carolina, and the Florida cities of Jacksonville, Orlando, and Tampa.. Key drivers for this market are: Investment Plan Towards Urban Rail Development. Potential restraints include: Italy’s Fragmented Approach to Tenders. Notable trends are: Existing Home Sales Witnessing Strong Growth.

  12. f

    LiveOverture | Properties Data | Real Estate Data

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

    LiveOverture is a reputable property data solutions provider that offers a wealth of information on property listings, market trends, and real estate data. The company's online presence provides insights into the property market, featuring thousands of listings, property sales data, and market analysis.

    By leveraging LiveOverture's online resources, users can gain a deeper understanding of property values, trends, and market conditions, making it an invaluable resource for real estate professionals, investors, and individuals looking to buy, sell, or rent properties.

  13. 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)

  14. F

    Average Sales Price of Houses Sold for the United States

    • fred.stlouisfed.org
    json
    Updated Jul 24, 2025
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    (2025). Average Sales Price of Houses Sold for the United States [Dataset]. https://fred.stlouisfed.org/series/ASPUS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 24, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Average Sales Price of Houses Sold for the United States (ASPUS) from Q1 1963 to Q2 2025 about sales, housing, and USA.

  15. m

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

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

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

  16. s

    Commercial Real Estate Data | Global Real Estate Professionals | Work...

    • data.success.ai
    Updated Oct 27, 2021
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    Success.ai (2021). Commercial Real Estate Data | Global Real Estate Professionals | Work Emails, Phone Numbers & Verified Profiles | Best Price Guaranteed [Dataset]. https://data.success.ai/products/commercial-real-estate-data-global-real-estate-professional-success-ai
    Explore at:
    Dataset updated
    Oct 27, 2021
    Dataset provided by
    Success.ai
    Area covered
    Iraq, Turkmenistan, Kiribati, Germany, Ascension and Tristan da Cunha, Türkiye, Namibia, French Polynesia, Bonaire, North Macedonia
    Description

    Access verified Commercial Real Estate Data with Licensed Contact Data for real estate professionals worldwide. Includes work emails, direct phone numbers, and decision-maker profiles. Continuously updated and AI-validated. Best price guaranteed.

  17. Largest deals for data center property sales in Europe 2023-2024

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Largest deals for data center property sales in Europe 2023-2024 [Dataset]. https://www.statista.com/statistics/1232893/largest-data-center-properties-sales-europe/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Europe
    Description

    In 2023 and the first half of 2024, the largest property sale in the data center real estate market in Europe was DATA4 Paris-Saclay in Paris. In April 2023, Brookfield bought the ****** square meter property from AXA for an undisclosed price. The most expensive sale was Digital Frankfurt I. The valuation of the site was *** million U.S. dollars and Digital Core REIT obtained **** percent from Digital Realty.

  18. 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

  19. C

    Allegheny County Property Sale Transactions

    • data.wprdc.org
    • datadiscoverystudio.org
    • +3more
    csv, html
    Updated Sep 8, 2025
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    Allegheny County (2025). Allegheny County Property Sale Transactions [Dataset]. https://data.wprdc.org/dataset/real-estate-sales
    Explore at:
    csv, htmlAvailable download formats
    Dataset updated
    Sep 8, 2025
    Dataset authored and provided by
    Allegheny County
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Allegheny County
    Description

    This dataset contains data on all Real Property parcels that have sold since 2013 in Allegheny County, PA.

    Before doing any market analysis on property sales, check the sales validation codes. Many property "sales" are not considered a valid representation of the true market value of the property. For example, when multiple lots are together on one deed with one price they are generally coded as invalid ("H") because the sale price for each parcel ID number indicates the total price paid for a group of parcels, not just for one parcel. See the Sales Validation Codes Dictionary for a complete explanation of valid and invalid sale codes.

    Sales Transactions Disclaimer: Sales information is provided from the Allegheny County Department of Administrative Services, Real Estate Division. Content and validation codes are subject to change. Please review the Data Dictionary for details on included fields before each use. Property owners are not required by law to record a deed at the time of sale. Consequently the assessment system may not contain a complete sales history for every property and every sale. You may do a deed search at http://www.alleghenycounty.us/re/index.aspx directly for the most updated information. Note: Ordinance 3478-07 prohibits public access to search assessment records by owner name. It was signed by the Chief Executive in 2007.

  20. Redfin usa properties dataset

    • crawlfeeds.com
    csv, zip
    Updated Jun 13, 2025
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    Crawl Feeds (2025). Redfin usa properties dataset [Dataset]. https://crawlfeeds.com/datasets/redfin-usa-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

    Area covered
    United States
    Description

    Explore the Redfin USA Properties Dataset, available in CSV format. This extensive dataset provides valuable insights into the U.S. real estate market, including detailed property listings, prices, property types, and more across various states and cities. Perfect for those looking to conduct in-depth market analysis, real estate investment research, or financial forecasting.

    Key Features:

    • Comprehensive Property Data: Includes essential details such as listing prices, property types, square footage, and the number of bedrooms and bathrooms.
    • Geographic Coverage: Encompasses a wide range of U.S. states and cities, providing a broad view of the national real estate market.
    • Historical Trends: Analyze past market data to understand price movements, regional differences, and market trends over time.
    • Geo-Location Details: Enables spatial analysis and mapping by including precise geographical coordinates of properties.

    Who Can Benefit From This Dataset:

    • Real Estate Investors: Identify lucrative opportunities by analyzing property values, market trends, and regional price variations.
    • Market Analysts: Gain a deeper understanding of the U.S. housing market dynamics to inform research and reporting.
    • Data Scientists and Researchers: Leverage detailed real estate data for modeling, urban studies, or economic analysis.
    • Financial Analysts: Utilize the dataset for financial modeling, helping to predict market behavior and assess investment risks.

    Download the Redfin USA Properties Dataset to access essential information on the U.S. housing market, ideal for professionals in real estate, finance, and data analytics. Unlock key insights to make informed decisions in a dynamic market environment.

    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

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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

Real Estate Data | Property Listing, Sold Properties, Rankings, Agent Datasets | Global Coverage | For Competitive Property Pricing and Investment

Explore at:
.bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
Dataset authored and provided by
Grepsr
Area covered
Malaysia, Congo (Democratic Republic of the), Iraq, Australia, Spain, Kazakhstan, South Sudan, Tonga, Kuwait, Holy See
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
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