100+ datasets found
  1. d

    Realtor.com Dataset | Property Listings | MLS Data | Real Estate Data |...

    • datarade.ai
    .json, .csv, .txt
    Updated Oct 4, 2023
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    CrawlBee (2023). Realtor.com Dataset | Property Listings | MLS Data | Real Estate Data | Residential Data | Realtime Real Estate Market Data [Dataset]. https://datarade.ai/data-products/crawlbee-realtor-com-dataset-property-listings-mls-dat-crawlbee
    Explore at:
    .json, .csv, .txtAvailable download formats
    Dataset updated
    Oct 4, 2023
    Dataset authored and provided by
    CrawlBee
    Area covered
    United States of America
    Description

    Our Realtor.com (Multiple Listing Service) dataset represents one of the most exhaustive collections of real estate data available to the industry. It consolidates data from over 500 MLS aggregators across various regions, providing an unparalleled view of the property market.

    Features:

    Property Listings: Each listing provides comprehensive details about a property. This includes its physical address, number of bedrooms and bathrooms, square footage, lot size, type of property (e.g., single-family home, condo, townhome), and more.

    Photographs and Virtual Tours: Visuals are crucial in the property market. Most listings are accompanied by high-quality photographs and, in many cases, virtual or 3D tours that allow potential buyers to explore properties remotely.

    Pricing Information: Listings provide asking prices, and the dataset frequently updates to reflect price changes. Historical price data, which includes initial listing prices and any subsequent reductions or increases, is also available.

    Transaction Histories: For sold properties, the dataset provides information about the date of sale, the sale price, and any discrepancies between the listing and sale prices.

    Agent and Broker Information: Each listing typically has associated details about the property's real estate professional. This might include their name, contact details, and affiliated brokerage.

    Open House Schedules: Open house dates and times are listed for properties that are actively being shown to potential buyers.

    1. Analytical Insights:

    Market Trends: By analyzing the dataset over time, one can glean insights into market dynamics, such as the rate of price appreciation or depreciation in certain areas, the average time properties stay on the market, and seasonality effects.

    Neighborhood Data: With comprehensive geographical data, it becomes possible to understand neighborhood-specific trends. This is invaluable for potential buyers or real estate investors looking to identify burgeoning markets.

    Price Comparisons: Realtors and potential buyers can benchmark properties against similar listings in the same area to determine if a property is priced appropriately.

    1. Utility:

    For Industry Professionals and Analysts: Beyond buyers and sellers, the dataset is a trove of information for real estate agents, brokers, analysts, and investors. They can harness this data to craft strategies, predict market movements, and serve their clients better.

  2. U.S. National Association of Realtors: number of members 2009-2023

    • statista.com
    Updated Jul 8, 2025
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    Statista (2025). U.S. National Association of Realtors: number of members 2009-2023 [Dataset]. https://www.statista.com/statistics/196269/us-national-association-of-realtors-number-of-members-since-1910/
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    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The number of members of the National Association of Realtors (NAR) in 2023 declined for the first time since 2012. This trend also reflects the recovery of the property market after the financial crisis of 2007-2009, as the volume of home sales began to climb from 2011. The NAR is a North American trade association for real estate workers formed in 1908 and currently based in Chicago, Illinois. In 2022, the association had nearly *** million members.Employment in the real estate sector The upward in NRA membership is mirrored in overall employment in the real estate sector in the United States. In 2023, *** million people were employed in the sector, which indicates that the majority of workers are members of the NAR. Employees in the real estate, rental, and leasing industry in the U.S. earned slightly above the average wage in the country. Membership growth ties in with growth in home sales The growth in NAR membership also correlates with the growth of residential property sales. For instance, the number of new houses sold in the U.S. has been on the rise since 2011. American adults as a whole have been steady in their view that homeownership is an important part of the American Dream. However, the share of American Millennials – those born between 1981 and 1996 - who view homeownership as important has been fluctuating since 2010. This adds an element of uncertainty to the future of the housing market because millennials are in their mid-twenties and thirties, which is widely viewed as the best time to buy a home from a home equity perspective.

  3. F

    Housing Inventory: Median Days on Market Year-Over-Year in the United States...

    • fred.stlouisfed.org
    json
    Updated Jun 5, 2025
    + more versions
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    (2025). Housing Inventory: Median Days on Market Year-Over-Year in the United States [Dataset]. https://fred.stlouisfed.org/series/MEDDAYONMARYYUS
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    jsonAvailable download formats
    Dataset updated
    Jun 5, 2025
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Housing Inventory: Median Days on Market Year-Over-Year in the United States (MEDDAYONMARYYUS) from Jul 2017 to May 2025 about median and USA.

  4. d

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

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

    Note:- Only publicly available real estate data can be worked upon.

    Discover the world of property insights with APISCRAPY's user-friendly services – Realtor Property Data, Realtor Data, and Realtor API. Designed for ease of use, our platform allows anyone, from real estate professionals to researchers and businesses, to effortlessly access publicly available property listings and Property owner Data.

    Our Realtor Property Data service provides comprehensive details on property listings, while Realtor API ensures easy integration for streamlined access. Additionally, we offer Zillow Property Data, enriching your property insights with information from one of the leading property platforms.

    Key Features:

    Realtor Property Data: Dive into detailed property listings effortlessly with our user-friendly platform.

    Realtor API Integration: Seamlessly integrate our Realtor API into your systems for easy access to property data.

    Zillow Property Data: Enrich your property insights with data from Zillow, one of the leading property platforms.

    Publicly Available Property Listings: APISCRAPY ensures access to publicly available property listings, making property data easily accessible.

    Easy Integration: Our platform is designed for simplicity, allowing for easy integration into your existing systems.

    Whether you're a real estate professional, researcher, or business looking for straightforward access to property information, APISCRAPY's services cater to your needs. Choose us for simple and efficient property data services, where ease of use and accessibility come together for your convenience.

  5. Real estate agents, brokers and appraisers, summary statistics

    • www150.statcan.gc.ca
    • data.urbandatacentre.ca
    • +4more
    Updated Jan 28, 2025
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    Government of Canada, Statistics Canada (2025). Real estate agents, brokers and appraisers, summary statistics [Dataset]. http://doi.org/10.25318/2110017501-eng
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    Dataset updated
    Jan 28, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    The summary statistics by North American Industry Classification System (NAICS) which include: operating revenue (dollars x 1,000,000), operating expenses (dollars x 1,000,000), salaries wages and benefits (dollars x 1,000,000), and operating profit margin (by percent), of real estate agents, brokers and appraisers (NAICS 53121) & offices of real estate appraisers (NAICS 53132), annual, for five years of data.

  6. Realtors' sources of referrals for foreign residential property buyers U.S....

    • statista.com
    Updated Sep 3, 2024
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    Statista (2024). Realtors' sources of referrals for foreign residential property buyers U.S. 2024 [Dataset]. https://www.statista.com/statistics/1263380/realtors-sources-of-referrals-of-foreign-property-buyers-usa/
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    Dataset updated
    Sep 3, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 4, 2024 - May 19, 2024
    Area covered
    United States
    Description

    One in four real estate agents in the United States who worked with foreign residential real estate buyers in the period between April 2023 and March 2024 relied on referrals from previous clients for business. During the same period, the largest buyer group was Canadian.

  7. F

    Housing Inventory: Active Listing Count in the United States

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

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

    Area covered
    United States
    Description

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

  8. Real estate agents, brokers and appraisers and other real estate activities,...

    • www150.statcan.gc.ca
    • datasets.ai
    • +5more
    Updated Feb 6, 2017
    + more versions
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    Government of Canada, Statistics Canada (2017). Real estate agents, brokers and appraisers and other real estate activities, summary statistics, by North American Industry Classification System (NAICS), inactive [Dataset]. http://doi.org/10.25318/2110000501-eng
    Explore at:
    Dataset updated
    Feb 6, 2017
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    The summary statistics by North American Industry Classification System (NAICS) which include: operating revenue (dollars x 1,000,000), operating expenses (dollars x 1,000,000), salaries wages and benefits (dollars x 1,000,000), and operating profit margin (by percent), of real estate agents, brokers and appraisers (NAICS 53121) & offices of real estate appraisers (NAICS 53132), annual, for five years of data.

  9. Digital Realty's global markets by share of total rent 2024

    • statista.com
    Updated May 7, 2025
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    Statista (2025). Digital Realty's global markets by share of total rent 2024 [Dataset]. https://www.statista.com/statistics/1452868/digital-realty-markets-by-annual-rent/
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    Dataset updated
    May 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    The Northern Virginia region accounted for almost a fifth of Digital Realty's total rent as of December 2024. Chicago accounted for the second-largest share, while the European financial hub of Frankfurt accounted for the third-largest share. Digital Realty’s home market remains its largest Texas-based Digital Realty operates carrier-neutral colocation data center facilities across the globe and is considered a leader in the provision of digital infrastructure. Despite rapid global expansion, North America remains the company’s largest market, listing over 20,000 rentable square feet in the region. Northern Virginia is a data center powerhouse The Northern Virginia region has seen a remarkable rise as the world’s premier data center hub. The region, which is centered around Loudon, Prince William and Fairfax counties, accounts for the greatest share of global inventory, with data center operators attracted by the proximity to major east coast population centers, along with favorable local infrastructure conditions.

  10. F

    Housing Inventory: Median Days on Market in Miami-Fort Lauderdale-West Palm...

    • fred.stlouisfed.org
    json
    Updated Jul 10, 2025
    + more versions
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    (2025). Housing Inventory: Median Days on Market in Miami-Fort Lauderdale-West Palm Beach, FL (CBSA) [Dataset]. https://fred.stlouisfed.org/series/MEDDAYONMAR33100
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 10, 2025
    License

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

    Area covered
    Florida, West Palm Beach, Miami Metropolitan Area
    Description

    Graph and download economic data for Housing Inventory: Median Days on Market in Miami-Fort Lauderdale-West Palm Beach, FL (CBSA) (MEDDAYONMAR33100) from Jul 2016 to Jun 2025 about Miami, FL, median, and USA.

  11. Average commission rate for realtors in the U.S. 1992-2023

    • statista.com
    Updated Jun 30, 2025
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    Statista (2025). Average commission rate for realtors in the U.S. 1992-2023 [Dataset]. https://www.statista.com/statistics/777612/average-commission-rate-realtors-usa/
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    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, the average commission rate for realtors in the U.S. was **** percent, down from *** percent in 2020. The lowest commission was observed in 2005, at five percent.

  12. i

    Grant Giving Statistics for Realtor Housing Assistance Fund

    • instrumentl.com
    Updated Dec 19, 2022
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    (2022). Grant Giving Statistics for Realtor Housing Assistance Fund [Dataset]. https://www.instrumentl.com/990-report/realtors-housing-assistance-fund-of-real-estate-board-of-met-st-louis
    Explore at:
    Dataset updated
    Dec 19, 2022
    Variables measured
    Total Assets, Total Giving
    Description

    Financial overview and grant giving statistics of Realtor Housing Assistance Fund

  13. F

    Data from: Existing Home Sales

    • fred.stlouisfed.org
    json
    Updated Jun 23, 2025
    + more versions
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    (2025). Existing Home Sales [Dataset]. https://fred.stlouisfed.org/series/EXHOSLUSM495S
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 23, 2025
    License

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

    Description

    Graph and download economic data for Existing Home Sales (EXHOSLUSM495S) from May 2024 to May 2025 about headline figure, sales, housing, and USA.

  14. i

    Grant Giving Statistics for Realtor Association Of The Fox Valley

    • instrumentl.com
    Updated Mar 6, 2022
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    (2022). Grant Giving Statistics for Realtor Association Of The Fox Valley [Dataset]. https://www.instrumentl.com/990-report/realtor-association-of-the-fox-valley
    Explore at:
    Dataset updated
    Mar 6, 2022
    Variables measured
    Total Assets, Total Giving
    Description

    Financial overview and grant giving statistics of Realtor Association Of The Fox Valley

  15. Preferred skills and qualities of real estate agents in the U.S. 2024

    • statista.com
    Updated May 21, 2025
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    Statista (2025). Preferred skills and qualities of real estate agents in the U.S. 2024 [Dataset]. https://www.statista.com/statistics/507593/preferred-skills-and-qualities-of-real-estate-agents-usa/
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    Dataset updated
    May 21, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 2023 - Jun 2024
    Area covered
    United States
    Description

    The majority of home buyers in the United States in 2024 used a real estate agent to help them find the right home to purchase. The most important skill and quality of real estate agents to 98 percent of buyers was being honesty and integrity. Responsiveness and the knowledge of the purchase process were also highly considered by home buyers.

  16. Average realtor commissions in the U.S. 2022, by state

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Average realtor commissions in the U.S. 2022, by state [Dataset]. https://www.statista.com/statistics/1390467/average-commission-rate-realtors-usa-by-state/
    Explore at:
    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States
    Description

    The commission rate for realtors is negotiable, but in 2022, the national U.S. average stood at about *** percent. In ***** states, New Hampshire, California, and Massachusetts, the commission rate was under **** percent. At the other end of the spectrum were New Mexico, Kansas, Vermont, and North Dakota, where the the rate was *** percent or more. The realtor commission is usually paid by the seller and is split between the listing's and the buyer's agent.

  17. M

    Raleigh Home Listing Prices (2016-2025)

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). Raleigh Home Listing Prices (2016-2025) [Dataset]. https://www.macrotrends.net/5506/raleigh-home-listing-prices
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    2016 - 2025
    Area covered
    United States
    Description

    The average listing price in a given market during the specified month.

    With the release of its September 2022 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/).

    With the release of its November 2021 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/).

  18. COVID-19 impact on home seller interest according to realtors in the U.S....

    • statista.com
    • ai-chatbox.pro
    Updated Nov 6, 2020
    + more versions
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    Statista (2020). COVID-19 impact on home seller interest according to realtors in the U.S. 2020 [Dataset]. https://www.statista.com/statistics/1104954/covid-19-impact-home-seller-interest-usa/
    Explore at:
    Dataset updated
    Nov 6, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 9, 2020 - Mar 10, 2020
    Area covered
    United States
    Description

    In a March 2020 survey, only one percent of U.S. realtors said that COVID-19 had significantly decreased the number of homes on the market. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

  19. e

    realtor.com Traffic Analytics Data

    • analytics.explodingtopics.com
    Updated May 1, 2025
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    (2025). realtor.com Traffic Analytics Data [Dataset]. https://analytics.explodingtopics.com/website/realtor.com
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    Dataset updated
    May 1, 2025
    Variables measured
    Global Rank, Monthly Visits, Authority Score, US Country Rank, Real Estate Category Rank
    Description

    Traffic analytics, rankings, and competitive metrics for realtor.com as of May 2025

  20. i

    Grant Giving Statistics for Mountains To Shore Board Of Realtor

    • instrumentl.com
    Updated Jun 1, 2021
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    (2021). Grant Giving Statistics for Mountains To Shore Board Of Realtor [Dataset]. https://www.instrumentl.com/990-report/merrymeeting-board-of-realtors
    Explore at:
    Dataset updated
    Jun 1, 2021
    Variables measured
    Total Assets, Total Giving, Average Grant Amount
    Description

    Financial overview and grant giving statistics of Mountains To Shore Board Of Realtor

Share
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Close
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CrawlBee (2023). Realtor.com Dataset | Property Listings | MLS Data | Real Estate Data | Residential Data | Realtime Real Estate Market Data [Dataset]. https://datarade.ai/data-products/crawlbee-realtor-com-dataset-property-listings-mls-dat-crawlbee

Realtor.com Dataset | Property Listings | MLS Data | Real Estate Data | Residential Data | Realtime Real Estate Market Data

Explore at:
.json, .csv, .txtAvailable download formats
Dataset updated
Oct 4, 2023
Dataset authored and provided by
CrawlBee
Area covered
United States of America
Description

Our Realtor.com (Multiple Listing Service) dataset represents one of the most exhaustive collections of real estate data available to the industry. It consolidates data from over 500 MLS aggregators across various regions, providing an unparalleled view of the property market.

Features:

Property Listings: Each listing provides comprehensive details about a property. This includes its physical address, number of bedrooms and bathrooms, square footage, lot size, type of property (e.g., single-family home, condo, townhome), and more.

Photographs and Virtual Tours: Visuals are crucial in the property market. Most listings are accompanied by high-quality photographs and, in many cases, virtual or 3D tours that allow potential buyers to explore properties remotely.

Pricing Information: Listings provide asking prices, and the dataset frequently updates to reflect price changes. Historical price data, which includes initial listing prices and any subsequent reductions or increases, is also available.

Transaction Histories: For sold properties, the dataset provides information about the date of sale, the sale price, and any discrepancies between the listing and sale prices.

Agent and Broker Information: Each listing typically has associated details about the property's real estate professional. This might include their name, contact details, and affiliated brokerage.

Open House Schedules: Open house dates and times are listed for properties that are actively being shown to potential buyers.

  1. Analytical Insights:

Market Trends: By analyzing the dataset over time, one can glean insights into market dynamics, such as the rate of price appreciation or depreciation in certain areas, the average time properties stay on the market, and seasonality effects.

Neighborhood Data: With comprehensive geographical data, it becomes possible to understand neighborhood-specific trends. This is invaluable for potential buyers or real estate investors looking to identify burgeoning markets.

Price Comparisons: Realtors and potential buyers can benchmark properties against similar listings in the same area to determine if a property is priced appropriately.

  1. Utility:

For Industry Professionals and Analysts: Beyond buyers and sellers, the dataset is a trove of information for real estate agents, brokers, analysts, and investors. They can harness this data to craft strategies, predict market movements, and serve their clients better.

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