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

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

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

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

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

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

  3. ScrapeHero Data Cloud - Free and Easy to use

    • datarade.ai
    .json, .csv
    Updated Apr 11, 2022
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    Scrapehero (2022). ScrapeHero Data Cloud - Free and Easy to use [Dataset]. https://datarade.ai/data-products/scrapehero-data-cloud-free-and-easy-to-use-scrapehero
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    .json, .csvAvailable download formats
    Dataset updated
    Apr 11, 2022
    Dataset provided by
    ScrapeHero
    Authors
    Scrapehero
    Area covered
    Bhutan, Bahamas, Ghana, Slovakia, Anguilla, Chad, Portugal, Dominica, Niue, 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

    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
    Holy See, South Sudan, Tonga, Spain, Australia, Malaysia, Congo (Democratic Republic of the), Iraq, Kuwait, Kazakhstan
    Description

    Extract detailed property data points — address, URL, prices, floor space, overview, parking, agents, and more — from any real estate listings. The Rankings data contains the ranking of properties as they come in the SERPs of different property listing sites. Furthermore, with our real estate agents' data, you can directly get in touch with the real estate agents/brokers via email or phone numbers.

    A. Usecase/Applications possible with the data:

    1. Property pricing - accurate property data for real estate valuation. Gather information about properties and their valuations from Federal, State, or County level websites. Monitor the real estate market across the country and decide the best time to buy or sell based on data

    2. Secure your real estate investment - Monitor foreclosures and auctions to identify investment opportunities. Identify areas within special economic and opportunity zones such as QOZs - cross-map that with commercial or residential listings to identify leads. Ensure the safety of your investments, property, and personnel by analyzing crime data prior to investing.

    3. Identify hot, emerging markets - Gather data about rent, demographic, and population data to expand retail and e-commerce businesses. Helps you drive better investment decisions.

    4. Profile a building’s retrofit history - a building permit is required before the start of any construction activity of a building, such as changing the building structure, remodeling, or installing new equipment. Moreover, many large cities provide public datasets of building permits in history. Use building permits to profile a city’s building retrofit history.

    5. Study market changes - New construction data helps measure and evaluate the size, composition, and changes occurring within the housing and construction sectors.

    6. Finding leads - Property records can reveal a wealth of information, such as how long an owner has currently lived in a home. US Census Bureau data and City-Data.com provide profiles of towns and city neighborhoods as well as demographic statistics. This data is available for free and can help agents increase their expertise in their communities and get a feel for the local market.

    7. Searching for Targeted Leads - Focusing on small, niche areas of the real estate market can sometimes be the most efficient method of finding leads. For example, targeting high-end home sellers may take longer to develop a lead, but the payoff could be greater. Or, you may have a special interest or background in a certain type of home that would improve your chances of connecting with potential sellers. In these cases, focused data searches may help you find the best leads and develop relationships with future sellers.

    How does it work?

    • Analyze sample data
    • Customize parameters to suit your needs
    • Add to your projects
    • Contact support for further customization
  5. m

    Best Performing Real Estate SEO Keywords List 2025

    • mediasearchgroup.com
    Updated Aug 5, 2025
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    Media Search Group (2025). Best Performing Real Estate SEO Keywords List 2025 [Dataset]. https://www.mediasearchgroup.com/industries/best-performing-real-estate-seo-keywords.php
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    Dataset updated
    Aug 5, 2025
    Dataset authored and provided by
    Media Search Group
    License

    https://www.mediasearchgroup.com/https://www.mediasearchgroup.com/

    Description

    A dataset of the most effective real estate SEO keywords based on Google search trends, keyword difficulty, and intent targeting for 2025.

  6. 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.

  7. d

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

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

    Note:- Only publicly available data can be worked upon

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

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

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

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

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

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

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

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

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

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

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

  8. d

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

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

    Extract detailed property data points — address, URL, prices, floor space, overview, parking, agents, and more — from any real estate listings. The Rankings data contains the ranking of properties as they come in the SERPs of different property listing sites. Furthermore, with our real estate agents' data, you can directly get in touch with the real estate agents/brokers via email or phone numbers.

    A. Usecase/Applications possible with the data:

    1. Property pricing - accurate property data for real estate valuation. Gather information about properties and their valuations from Federal, State, or County level websites. Monitor the real estate market across the country and decide the best time to buy or sell based on data

    2. Secure your real estate investment - Monitor foreclosures and auctions to identify investment opportunities. Identify areas within special economic and opportunity zones such as QOZs - cross-map that with commercial or residential listings to identify leads. Ensure the safety of your investments, property, and personnel by analyzing crime data prior to investing.

    3. Identify hot, emerging markets - Gather data about rent, demographic, and population data to expand retail and e-commerce businesses. Helps you drive better investment decisions.

    4. Profile a building’s retrofit history - a building permit is required before the start of any construction activity of a building, such as changing the building structure, remodeling, or installing new equipment. Moreover, many large cities provide public datasets of building permits in history. Use building permits to profile a city’s building retrofit history.

    5. Study market changes - New construction data helps measure and evaluate the size, composition, and changes occurring within the housing and construction sectors.

    6. Finding leads - Property records can reveal a wealth of information, such as how long an owner has currently lived in a home. US Census Bureau data and City-Data.com provide profiles of towns and city neighborhoods as well as demographic statistics. This data is available for free and can help agents increase their expertise in their communities and get a feel for the local market.

    7. Searching for Targeted Leads - Focusing on small, niche areas of the real estate market can sometimes be the most efficient method of finding leads. For example, targeting high-end home sellers may take longer to develop a lead, but the payoff could be greater. Or, you may have a special interest or background in a certain type of home that would improve your chances of connecting with potential sellers. In these cases, focused data searches may help you find the best leads and develop relationships with future sellers.

    How does it work?

    • Analyze sample data
    • Customize parameters to suit your needs
    • Add to your projects
    • Contact support for further customization
  9. Market share of rental property review sites U.S. 2024

    • statista.com
    Updated Jun 30, 2025
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    Statista (2025). Market share of rental property review sites U.S. 2024 [Dataset]. https://www.statista.com/statistics/1336309/market-share-of-rental-property-review-sites-usa/
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    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Google was the most popular website for online reviews of multifamily rental properties as of the fourth quarter of 2024, concentrating ** percent of all reviews. Usually, a property was reviewed on more than one website. Though Google had the most reviews, the properties reviewed on Modern Message had higher rating.

  10. f

    Blaze Property | Properties Data | Real Estate Data

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

    Blaze Property is a real estate company that offers a range of services, including property management, sales, and rentals. With a focus on Amarillo and surrounding areas, the company provides expert guidance for homes, apartments, offices, and commercial properties. Their experienced team is committed to delivering personalized service, ensuring that clients receive the best possible outcomes.

    From property repairs to pest control, Blaze Property is there to support the entire property management process. They also offer REO sales and management, providing a one-stop solution for all real estate needs. With a strong presence online, the company provides easy access to property listings, allowing potential buyers and renters to browse and find the perfect fit. Through their website, customers can also connect with professionals for personalized advice and support.

  11. f

    J. Pepper Frazier Real Estate | Properties Data | Real Estate Data

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

    J. Pepper Frazier Real Estate is a leading real estate agency that specializes in Nantucket Island properties. With years of experience, they have established a strong reputation for providing exceptional service, expertise, and technology to their clients. Their extensive portfolio includes a wide range of properties, from residential sales and rentals to commercial and multi-family dwellings. The company's skilled agents are well-versed in the local market, allowing them to provide personalized guidance to buyers and sellers navigating the Nantucket real estate landscape.

    From market statistics and transaction data to industry trends and property listings, J. Pepper Frazier Real Estate provides valuable insights and resources to help clients make informed decisions. Their website offers a comprehensive platform for searching and browsing properties, as well as accessing market reports, community news, and events. With their commitment to excellence, professionalism, and customer satisfaction, J. Pepper Frazier Real Estate is the go-to choice for Nantucket real estate transactions.

  12. f

    Irambati | Properties Data | Real Estate Data

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

    Irambati is a leading real estate company that provides property listings and market insights to individuals seeking to buy, sell, or rent properties in India. As a prominent player in the Indian real estate market, Irambati's website features a vast array of data on residential and commercial properties, including prices, locations, and amenities.

    The company's data repository includes a wide range of property types, from apartments to independent houses, and covers major cities and towns across India. Irambati's expertise in the Indian real estate market, combined with its vast database of property listings, makes it an invaluable resource for anyone seeking to make an informed decision about their property needs.

  13. Online Apartment Rental Services in the US - Market Research Report...

    • ibisworld.com
    Updated Jul 11, 2025
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    IBISWorld (2025). Online Apartment Rental Services in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/market-research-reports/online-apartment-rental-services-industry/
    Explore at:
    Dataset updated
    Jul 11, 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
    United States
    Description

    The online apartment rental services industry is experiencing significant growth because of the booming apartment supply, with over half a million new rental units completed in 2024. Major cities like New York, Dallas and Austin are leading the way in this surge, causing an influx of new, predominantly high-end rental units. As a result, there is increased competition among property managers and a need for more effective digital marketing strategies to reach potential renters. This accelerated growth is predominantly benefiting online rental services, which have seen a climb in listings that, in turn, drive more traffic as renters seek opportunities and deals in markets with slowing rent growth. Overall, industry-wide revenue has climbed at a CAGR of 7.7% to $928.1 million through the end of 2025, including an 8.6% gain in 2025 alone, when profit is expected to reach 23.8%. Leading organizations, such as Zillow and Redfin, are taking advantage of this trend by forming partnerships to expand their listing networks and reach. The consolidation of these digital platforms means renters can access a broader range of apartment listings, streamlining their search process and increasing market transparency. Meanwhile, property marketers are presented with simplified operations and increased marketing leads because of enhanced exposure across major rental platforms. However, smaller markets and affordable housing are not receiving the same benefits, signaling a need for more targeted digital marketing and search tools. The online apartment rental services industry is set to face a shift from oversupply to scarcity by the end of 2030. As apartment construction slows because of high borrowing costs, tighter lending standards and rising project costs, there will be a greater demand for platforms that can help landlords maximize occupancy and optimize rents in a tightening market. To meet this demand, innovations in technology, such as predictive analytics, dynamic pricing and personalized renter experiences, will become a necessity. Amid these changes, the industry is also likely to see a gain in demand for single-family rentals, creating new opportunities for digital platforms to expand their offerings and capture a larger market share. Industry revenue will strengthen at a CAGR of 9.0% to $1.4 billion in 2030.

  14. d

    Residential Real Estate Data via API | USA Coverage | 74% Right Party...

    • datarade.ai
    Updated Mar 13, 2024
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    BatchData (2024). Residential Real Estate Data via API | USA Coverage | 74% Right Party Contact Rate | BatchData [Dataset]. https://datarade.ai/data-products/residential-real-estate-data-via-api-usa-coverage-74-rig-batchdata
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    .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Mar 13, 2024
    Dataset authored and provided by
    BatchData
    Area covered
    United States
    Description

    In the realm of real estate data solutions, BatchData Property Data Search API emerges as a technical marvel, tailored for product and engineering leadership seeking robust and scalable solutions. This purpose-built API seamlessly integrates diverse datasets, offering over 600 data points, to provide a holistic view of property characteristics, valuation, homeowner information, listing data, county assessor details, photos, and foreclosure information. With state-of-the-art infrastructure and performance features, BatchData sets the standard for efficiency, reliability, and developer satisfaction.

    Unraveling the Technical Prowess of BatchData Property Data Search API:

    State-of-the-Art Infrastructure: At the heart of BatchData lies a state-of-the-art infrastructure that leverages the latest technologies available. Our systems are engineered to handle increased loads and growing datasets with ease, ensuring optimal performance without significant degradation. This commitment to technological advancement ensures that our data infrastructure and API systems operate at peak efficiency, even in the face of evolving demands and complexities.

    Integration Capabilities: BatchData boasts integration capabilities that are second to none, thanks to our innovative data lake house architecture. This architecture empowers us to seamlessly integrate our data with any data platforms or pipelines in a matter of minutes. Whether it's connecting with existing data systems, third-party applications, or internal pipelines, our API offers limitless integration possibilities, enabling product and engineering teams to unlock the full potential of property data with minimal effort.

    Developer Documentation: One of the hallmarks of BatchData is our clear and comprehensive developer documentation, which developers love. We understand the importance of providing developers with the resources they need to integrate our API seamlessly into their projects. Our documentation offers detailed guides, code samples, API reference materials, and best practices, empowering developers to hit the ground running and leverage the full capabilities of BatchData with confidence.

    Performance Features: BatchData Property Search API is engineered for performance, delivering lightning-fast response times and seamless scalability. Our API is designed to efficiently handle increased loads and growing datasets, ensuring that users experience minimal latency and maximum reliability. Whether it's retrieving property data, conducting complex queries, or accessing real-time updates, our API delivers exceptional performance, empowering product and engineering teams to build high-performance applications and systems with ease. BatchData's APIs work for both residential real estate data and commercial real estate data.

    Common Use Cases for BatchData Property Data Search API:

    Powering Data-Driven Applications: Product and engineering teams can leverage BatchData Property Data Search API to power data-driven applications tailored for the real estate industry. Whether it's building real estate websites, mobile applications, or internal tools, our API offers comprehensive property data that can drive informed decision-making, enhance user experiences, and streamline operations.

    Enabling Advanced Analytics: With BatchData, product and engineering leaders can unlock the power of advanced analytics and reporting capabilities. Our API provides access to rich property data, enabling analysts and researchers to uncover insights, identify trends, and make data-driven recommendations with confidence. Whether it's analyzing market trends, evaluating investment opportunities, or conducting competitive analysis, BatchData empowers teams to derive actionable insights from vast property datasets.

    Optimizing Data Infrastructure: BatchData Property Data Search API can play a pivotal role in optimizing data infrastructure within organizations. By seamlessly integrating our API with existing data platforms and pipelines, product and engineering teams can streamline data workflows, improve data accessibility, and enhance overall data infrastructure efficiency. Our API's integration capabilities and performance features ensure that organizations can leverage property data seamlessly across their data ecosystem, driving operational excellence and innovation.

    Conclusion: BatchData Property Data Search API stands at the forefront of real estate data solutions, offering product and engineering leaders a comprehensive, scalable, and high-performance API for accessing property data. With state-of-the-art infrastructure, seamless integration capabilities, clear developer documentation, and exceptional performance features, BatchData empowers teams to build data-driven applications, optimize data infrastructure, and unlock actionable insights with ease. As the real estate industry continues to evolve, BatchData remains committed to delivering innovative sol...

  15. v

    Global Real Estate Photo Editing Service Market Size By Type (Image...

    • verifiedmarketresearch.com
    pdf,excel,csv,ppt
    Updated Jul 22, 2025
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    Verified Market Research (2025). Global Real Estate Photo Editing Service Market Size By Type (Image Enhancement, Panorama Stitching, Virtual Staging, HDR Blending, Perspective Correction, Floor Plan Conversion, Object Removal), By Deployment Mode (Cloud-Based, On-Premise), By End-User (Real Estate Agencies, Freelance Photographers, Property Sellers, Developers, Media and Advertising Firms), By Geographic Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/real-estate-photo-editing-service-market/
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jul 22, 2025
    Dataset authored and provided by
    Verified Market Research
    License

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

    Time period covered
    2026 - 2032
    Area covered
    Global
    Description

    Real Estate Photo Editing Service Market was valued at USD 1.2 Billion in 2024 and is projected to reach USD 2.42 Billion by 2032, growing at a CAGR of 9.2% from 2026 to 2032.Global Real Estate Photo Editing Service Market DriversThe market drivers for the real estate photo editing service market can be influenced by various factors. These may include:Increased Digitalization in Real Estate Transactions: Greater dependence on online platforms for property searches is leading to higher demand for digitally enhanced property visuals through specialized image editing processes.Growth of E-Commerce and Property Listing Platforms: Rising usage of digital property portals and listing websites is estimated to result in stronger demand for image optimization services aimed at enhancing visual appeal and engagement.Rising Expectations for Visual Presentation: Consumer preferences for high-quality and visually consistent real estate content are projected to drive the adoption of advanced editing tools across residential and commercial listings.

  16. V

    Virtual Staging for Real Estate Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Mar 15, 2025
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    Archive Market Research (2025). Virtual Staging for Real Estate Report [Dataset]. https://www.archivemarketresearch.com/reports/virtual-staging-for-real-estate-59443
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    ppt, doc, pdfAvailable download formats
    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    Archive Market Research
    License

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

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

    The virtual staging market for real estate is experiencing robust growth, driven by the increasing adoption of technology in the real estate sector and the need to enhance property presentations. The market, valued at $1113.4 million in 2025, is projected to witness significant expansion over the forecast period (2025-2033). While the exact CAGR is not provided, considering the rapid technological advancements and increasing demand for visually appealing property listings, a conservative estimate of the Compound Annual Growth Rate (CAGR) would be around 15% to 20%. This growth is fueled by several factors, including the convenience and cost-effectiveness of virtual staging compared to traditional methods. Realtors and developers are increasingly leveraging virtual staging to attract potential buyers and tenants, particularly in competitive markets. The cloud-based and web-based segments are experiencing the most rapid growth, as they offer scalability and accessibility. The demand for virtual staging is anticipated to increase further with the growing popularity of online property portals and virtual tours. Geographical expansion is also a key driver; North America and Europe currently dominate the market, but Asia-Pacific is expected to witness substantial growth in the coming years due to rising urbanization and increasing internet penetration. The competitive landscape is characterized by a mix of established players and emerging startups. Companies like RoOomy, VHT Studios, and Homestyler are leading the market, offering a range of services and solutions. The market is also witnessing increasing innovation in virtual staging technology, with advancements in 3D modeling, virtual reality (VR), and augmented reality (AR) enhancing the realism and immersive experience. However, challenges remain, including the need to address concerns about the accuracy and ethical implications of virtual staging, along with educating both consumers and real estate professionals about its advantages. Continued technological innovation and broader market adoption will be crucial factors in shaping the future of the virtual staging market for real estate.

  17. S

    South Korea Residential Real Estate Industry Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Mar 7, 2025
    + more versions
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    Data Insights Market (2025). South Korea Residential Real Estate Industry Report [Dataset]. https://www.datainsightsmarket.com/reports/south-korea-residential-real-estate-industry-17095
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    doc, ppt, pdfAvailable 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
    South Korea
    Variables measured
    Market Size
    Description

    The South Korean residential real estate market, valued at $345.19 million in 2025, is projected to experience robust growth, exhibiting a Compound Annual Growth Rate (CAGR) of 13.07% from 2025 to 2033. This expansion is driven by several factors. Firstly, a growing population, particularly in urban centers like Seoul, fuels increasing demand for housing. Secondly, government initiatives aimed at improving infrastructure and incentivizing homeownership contribute significantly to market expansion. Furthermore, a strengthening economy and rising disposable incomes empower more individuals to invest in residential properties. The market is segmented by property type (apartments and condominiums, landed houses and villas) and geography (Seoul and other locations), with Seoul expected to command a larger share due to its concentration of economic activity and population density. Competition is fierce amongst major players like Korea Land and Housing Corporation, Hines, and ShinYoung Greensys, leading to innovative developments and competitive pricing strategies. Potential restraints include government regulations on land usage, fluctuations in interest rates impacting mortgage accessibility, and global economic uncertainties that may influence investment flows. Despite these potential challenges, the long-term outlook for the South Korean residential real estate market remains positive. The continued urbanization trend and sustained economic growth are expected to counterbalance the restraining factors, ensuring consistent market expansion throughout the forecast period. The dominance of large developers combined with the increasing demand from a growing middle class will likely lead to a sustained period of elevated construction activity and transaction volumes. Furthermore, the focus on sustainable and technologically advanced housing solutions will likely shape future developments, creating opportunities for companies specializing in green building technologies and smart home integration. The market’s performance will closely track South Korea's overall economic health and government policies regarding housing affordability and urban planning. This report provides a detailed analysis of the South Korea residential real estate market, covering the period from 2019 to 2033. It examines market dynamics, trends, and future prospects, incorporating data from the historical period (2019-2024), base year (2025), and forecast period (2025-2033). The report is invaluable for investors, developers, policymakers, and anyone seeking a comprehensive understanding of this dynamic market. High-impact keywords such as South Korea real estate, Seoul apartments, Korean housing market, modular housing Korea, and residential real estate investment Korea are strategically integrated for enhanced search engine optimization. Recent developments include: January 2023: International architecture office KPF has unveiled the design for Parkside Seoul, a new mixed-use neighborhood planned for the South Korean capital to complement the surrounding natural elements and pay homage to Yongsan Park. The 482,600 square meter development is composed of a layered exterior envelope encompassing various programs and public amenities to enhance the residents’ experience of space. Besides the residential units, the complex includes office and retail spaces, hospitality facilities, and public and green spaces., April 2023: Korea’s GS E&C has launched its premium modular housing division, XiGEIST. GS E&C is a global entity that spans civil engineering, building, oil & gas, power plants, and renewable energy. They already own a high-end apartment brand, Xi, and they’re not new to the modular housing market, with acquisitions of some significant modular home companies in Poland, Britain, and the USA in recent years. Their modular homes will be manufactured at the company’s recently opened automated panelised prefabrication plant in South Korea, where they hope to achieve a 30% reduction in construction time, with a delivery timeline of eight weeks.. Key drivers for this market are: Government's Plans to Supply New Homes. Potential restraints include: Rising Interest Rates. Notable trends are: Urbanization in the Country is Driving the Market.

  18. 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/model/7
    Explore at:
    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.

  19. M

    AI in Real Estate Market to Reach USD 41.5 Billion By 2033

    • scoop.market.us
    Updated Jul 3, 2024
    + more versions
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    Market.us Scoop (2024). AI in Real Estate Market to Reach USD 41.5 Billion By 2033 [Dataset]. https://scoop.market.us/ai-in-real-estate-market-news/
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    Dataset updated
    Jul 3, 2024
    Dataset authored and provided by
    Market.us Scoop
    License

    https://scoop.market.us/privacy-policyhttps://scoop.market.us/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    Introduction

    The global AI in real estate market is experiencing remarkable growth, with projections indicating a substantial increase in value. By 2033, the market is anticipated to reach a staggering USD 41.5 billion, reflecting a notable compound annual growth rate (CAGR) of 30.5% during the forecast period from 2024 to 2033. This growth trajectory underscores the transformative impact of artificial intelligence (AI) on the real estate sector, revolutionizing various aspects of operations and decision-making processes.

    The integration of Artificial Intelligence (AI) in real estate is transforming how the industry operates, from property management to sales. AI technologies enable more efficient data processing and interpretation, facilitating better decision-making. Key applications include automated valuation models, predictive analytics for market trends, and chatbots for customer service. This innovation leads to improved user experiences and operational efficiencies.

    The AI in real estate market is experiencing significant growth. This expansion can be attributed to the increasing demand for smarter and more efficient real estate solutions, which AI provides. Real estate companies are investing in AI to enhance property search engines, implement smart home technologies, and improve transaction processes. These advancements are attracting both investors and companies looking to capitalize on the enhanced capabilities of AI to streamline operations and increase profitability.

    https://market.us/wp-content/uploads/2024/05/AI-in-Real-Estate-Market-1024x595.jpg" alt="AI in Real Estate Market" class="wp-image-120483">

    Despite challenges such as data privacy concerns and the integration of AI with traditional systems, the momentum for AI adoption in real estate remains strong. AI has the potential to create significant value for the industry, ranging from cost reduction to operational improvement. According to surveys, AI could generate substantial value ranging from $110 billion to $180 billion and beyond, highlighting its transformative potential.

  20. Commercial Real Estate Data | US & Canada Real Estate Professionals |...

    • datarade.ai
    Updated Oct 27, 2021
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    Success.ai (2021). Commercial Real Estate Data | US & Canada Real Estate Professionals | Verified Work Emails & Property Firm Details | Best Price Guarantee [Dataset]. https://datarade.ai/data-products/commercial-real-estate-data-us-canada-real-estate-profess-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Oct 27, 2021
    Dataset provided by
    Area covered
    Canada, United States
    Description

    Success.ai’s Commercial Real Estate Dataset for the US and Canada covers brokers, agents, developers, and investors across the property ecosystem. Whether you’re selling software, leasing tools, investment services, or lead generation tools—this is your go-to dataset for North American real estate.

    What You Get:
    - Work email and phone (where available)
    - Job title (e.g., Broker, Agent, Analyst, Developer)
    - Company name, website, size, and real estate focus
    - LinkedIn URLs and regional data

    Use Cases:
    - PropTech & CRM sales
    - Real estate investment tools outreach
    - Lead generation for listings & marketplaces
    - Commercial financing or insurance sales

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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

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

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

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