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)

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.

In 2024, U.S. homebuyers considered photos and the detailed information about a home listing as the most valuable features of real estate websites. Additionally, ** percent of respondents cited virtual listings as very useful, while ** percent listed flor plans.

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

This statistic presents the real estate websites that proved most popular among people who hunt for properties to purchase in the United Kingdom in 2015. One fourth of respondents said they would use all three websites: Rightmove, Zoopla and OnTheMarket. However, OnTheMarket only had 2.1 percent of respondents reporting they would use the site alone.

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

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.

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.

The US property management industry, a significant segment of the broader real estate market, is experiencing steady growth, driven by several key factors. The increasing urbanization and population growth, particularly in major metropolitan areas, fuels the demand for rental properties and professional property management services. The rise of institutional investors in the multifamily sector further contributes to this demand, as these investors often outsource management to specialized firms. Technological advancements, such as property management software and online tenant portals, are streamlining operations and improving efficiency, leading to increased market penetration and attracting new players. Furthermore, the evolving preferences of renters, who increasingly value convenience and amenities, necessitate sophisticated property management solutions, fostering industry expansion. The commercial sector also contributes significantly, with businesses relying on professional managers for office buildings, retail spaces, and industrial properties. While the industry faces challenges, such as fluctuating interest rates impacting investment decisions and potential labor shortages within the property management sector, the long-term outlook remains positive. The diverse service offerings within the industry—from marketing and property evaluation to tenant services and maintenance—provide resilience against economic downturns. The fragmentation of the market presents opportunities for both established players and new entrants, with mergers and acquisitions potentially reshaping the competitive landscape in the coming years. The increasing focus on sustainable and environmentally friendly practices also presents a growth avenue, as property managers adapt their strategies to meet evolving tenant expectations and regulatory requirements. Considering the provided global market size of $81.52 billion (assuming “Million” is a typo and should be “Billion”) and a CAGR of 3.94%, a reasonable estimate for the US market share, given its prominence in the global real estate market, would place it in the range of $40-50 billion in 2025. This estimate is further supported by the presence of large US-based property management companies listed in the provided data. Recent developments include: February 2024: Wood Partners, the 4th-largest real estate developer in the United States, sold its property management business for its 38,000+ units in 17 states to Greystar (Charleston, South Carolina), the country's largest apartment management company., November 2023: RealPage Inc. acquired On-site Managers Inc. for approximately USD 250 million in cash. On-Site is an on-demand leasing platform for multifamily property management and renters that integrates leads from all sources and converts them to signed leases for the multifamily industry and the single-family housing industry. RealPage will continue to support the on-site platform and plans to integrate the best of its on-site platforms in the future. Clients on both platforms will continue to benefit from future improvements without disruption.. Key drivers for this market are: Increasing Demand from the Commercial Segment is Driving the Market, Increasing Disposable Income of Consumers is Driving the market. Potential restraints include: Increasing Demand from the Commercial Segment is Driving the Market, Increasing Disposable Income of Consumers is Driving the market. Notable trends are: Demand from the Residential Sector is Supporting the Market.

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.

The US property management industry, a significant segment of the broader real estate market, is experiencing steady growth, projected to reach a substantial size over the next decade. Driven by factors such as increasing urbanization, a robust rental market, and the growing preference for rental housing among millennials and Gen Z, the sector shows considerable promise. The industry is segmented by end-user (commercial and residential) and service type (marketing, property evaluation, tenant services, maintenance, and other services). Commercial property management is a significant revenue driver, benefiting from the expansion of businesses and the need for efficient space management. Residential property management, however, is expected to see higher growth due to increasing demand for rental units across various price points. Technological advancements, particularly in property management software and online platforms, are streamlining operations and enhancing efficiency, improving tenant experiences, and attracting new investors. However, challenges remain, including fluctuating interest rates impacting investment decisions, potential economic downturns affecting occupancy rates, and the need for skilled professionals to manage increasingly complex portfolios. The competitive landscape is characterized by both large, publicly traded companies like CBRE Group and Jones Lang LaSalle, as well as smaller, regional players specializing in niche markets. This competitive dynamic fosters innovation and provides a wide range of services catering to diverse client needs. The forecast period of 2025-2033 suggests a continued positive trajectory for the US property management market. While external factors like inflation and recessionary pressures could influence growth rates, the underlying demand for professional property management services is expected to remain strong. The industry's adaptation to technological advancements and the ongoing evolution of property management practices are key factors contributing to its resilience and long-term sustainability. The concentration of major players in key metropolitan areas suggests future growth will likely be concentrated in these urban centers, with expansion into secondary and tertiary markets also presenting significant opportunities. Further segmentation analysis, particularly focusing on specific service types within both commercial and residential sectors, would allow for more precise projections and strategic investment decisions. Comprehensive Coverage US Property Management Industry Report (2019-2033) This in-depth report provides a comprehensive analysis of the US Property Management Industry, offering invaluable insights for investors, industry professionals, and strategic planners. The report covers the period from 2019 to 2033, with a base year of 2025 and a forecast period extending to 2033. We delve into market size, segmentation, trends, and key players, leveraging data from the historical period (2019-2024) to project future growth. Our analysis encompasses various segments, including commercial and residential property management, and services like marketing, property evaluation, tenant services, and maintenance. Discover the factors driving market expansion and the challenges impacting industry players. This report is your essential guide to navigating the dynamic US property management landscape. Recent developments include: February 2024: Wood Partners, the 4th-largest real estate developer in the United States, sold its property management business for its 38,000+ units in 17 states to Greystar (Charleston, South Carolina), the country's largest apartment management company., November 2023: RealPage Inc. acquired On-site Managers Inc. for approximately USD 250 million in cash. On-Site is an on-demand leasing platform for multifamily property management and renters that integrates leads from all sources and converts them to signed leases for the multifamily industry and the single-family housing industry. RealPage will continue to support the on-site platform and plans to integrate the best of its on-site platforms in the future. Clients on both platforms will continue to benefit from future improvements without disruption.. Key drivers for this market are: Increasing Demand from the Commercial Segment is Driving the Market, Increasing Disposable Income of Consumers is Driving the market. Potential restraints include: Economic Uncertainties are Restraining the Market. Notable trends are: Demand from the Residential Sector is Supporting the Market.

Autoscraping's Zillow USA Real Estate Data is a comprehensive and meticulously curated dataset that covers over 10 million property listings across the United States. This data product is designed to meet the needs of professionals across various sectors, including real estate investment, market analysis, urban planning, and academic research. Our dataset is unique in its depth, accuracy, and timeliness, ensuring that users have access to the most relevant and actionable information available.

What Makes Our Data Unique? The uniqueness of our data lies in its extensive coverage and the precision of the information provided. Each property listing is enriched with detailed attributes, including but not limited to, full addresses, asking prices, property types, number of bedrooms and bathrooms, lot size, and Zillow’s proprietary value and rent estimates. This level of detail allows users to perform in-depth analyses, make informed decisions, and gain a competitive edge in their respective fields.

Furthermore, our data is continually updated to reflect the latest market conditions, ensuring that users always have access to current and accurate information. We prioritize data quality, and each entry is carefully validated to maintain a high standard of accuracy, making this dataset one of the most reliable on the market.

Data Sourcing: The data is sourced directly from Zillow, one of the most trusted names in the real estate industry. By leveraging Zillow’s extensive real estate database, Autoscraping ensures that users receive data that is not only comprehensive but also highly reliable. Our proprietary scraping technology ensures that data is extracted efficiently and without errors, preserving the integrity and accuracy of the original source. Additionally, we implement strict data processing and validation protocols to filter out any inconsistencies or outdated information, further enhancing the quality of the dataset.

Primary Use-Cases and Vertical Applications: Autoscraping's Zillow USA Real Estate Data is versatile and can be applied across a variety of use cases and industries:

Real Estate Investment: Investors can use this data to identify lucrative opportunities, analyze market trends, and compare property values across different regions. The detailed pricing and valuation data allow for comprehensive due diligence and risk assessment.

Market Analysis: Market researchers can leverage this dataset to track real estate trends, evaluate the performance of different property types, and assess the impact of economic factors on property values. The dataset’s nationwide coverage makes it ideal for both local and national market studies.

Urban Planning and Development: Urban planners and developers can use the data to identify growth areas, plan new developments, and assess the demand for different property types in various regions. The detailed location data is particularly valuable for site selection and zoning analysis.

Academic Research: Universities and research institutions can utilize this data for studies on housing markets, urbanization, and socioeconomic trends. The comprehensive nature of the dataset allows for a wide range of academic applications.

Integration with Our Broader Data Offering: Autoscraping's Zillow USA Real Estate Data is part of our broader data portfolio, which includes various datasets focused on real estate, market trends, and consumer behavior. This dataset can be seamlessly integrated with our other offerings to provide a more holistic view of the market. For example, combining this data with our consumer demographic datasets can offer insights into the relationship between property values and demographic trends.

By choosing Autoscraping's data products, you gain access to a suite of complementary datasets that can be tailored to meet your specific needs. Whether you’re looking to gain a comprehensive understanding of the real estate market, identify new investment opportunities, or conduct advanced research, our data offerings are designed to provide you with the insights you need.

Property Management Market size was valued at 17.34 USD Billion in 2023 and is projected to reach 32.05 USD Billion by 2031, growing at a CAGR of 8.80% from 2024 to 2031.

Key Market Drivers: • Urbanization and Population Growth: As cities throughout the world continue to grow in population, the demand for residential and commercial housing rises dramatically. This increase in real estate demand generates a favorable climate for property management services. Property owners, particularly those with geographically distributed properties, rely on property managers to tackle the challenges of managing their investments in high-demand, fast-paced urban locations.

• Growing Real Estate Investment: Real estate remains appealing to both individual and institutional investors. This increased investment in real estate, particularly rental residences and commercial spaces, drives up demand for property management services. Owners seeking a consistent return on investment frequently lack the time or experience to maintain their properties themselves, making professional property management an attractive option.

• Rising Popularity of Absentee Ownership: Absentee ownership is becoming increasingly popular, with property owners living far away from their investment homes. This could be due to relocation, inheritance, or portfolio diversification. Property management businesses play an important role for these absentee owners, ensuring that their properties are well-maintained, tenanted, and earning money despite the owner's physical distance.

• Increasing Legal and Regulatory Complexity: The legal landscape for property ownership and administration is continually changing. Regulations governing tenant rights, fair housing, safety standards, and environmental considerations can be complex and ever-changing. Property management businesses stay on top of these legislative updates and guarantee that properties conform, reducing risks and potential liabilities for owners who may struggle to handle these complexities on their own.

• Technological Transformation: The property management sector is undergoing a digital revolution. Cloud-based software simplifies duties, automates processes, and improves communication among property owners, managers, and tenants. This technological advancement enables property management businesses to provide a more complete and cost-effective service, making them a more appealing option for owners looking for modern and efficient solutions.

• Demand for Improved Resident Services: Today's residents want a convenient and responsive living experience. Property management businesses are meeting this demand by providing resident portals for online rent payments, maintenance requests, and communication. This not only increases tenant happiness but also makes operations easier for property managers.

• Focus on sustainability and energy efficiency: As environmental concerns grow, property owners and tenants are seeking more sustainable and energy-efficient structures. Property management businesses are well-positioned to meet this expanding need. Their maintenance and operations experience can improve building efficiency, resulting in lower energy consumption and a more environmentally friendly portfolio that can attract tenants and save money for owners.

Dataset Overview

This dataset provides a detailed snapshot of real estate properties listed in Dubai, UAE, as of August 2024. The dataset includes over 5,000 listings scraped using the Apify API from Propertyfinder and various other real estate websites in the UAE. The data includes key details such as the number of bedrooms and bathrooms, price, location, size, and whether the listing is verified. All personal identifiers, such as agent names and contact details, have been ethically removed.

Data Science Applications

Given the size and structure of this dataset, it is ideal for the following data science applications:

• Price Prediction Models: Predicting the price of properties based on features like location, size, and furnishing status.
• Market Analysis: Understanding trends in the Dubai real estate market by analyzing price distributions, property types, and locations.
• Recommendation Systems: Developing systems to recommend properties based on user preferences (e.g., number of bedrooms, budget).
• Sentiment Analysis: Extracting and analyzing sentiments from the property descriptions to gauge the market's tone.

This dataset provides a practical foundation for both beginners and experts in data science, allowing for the exploration of real estate trends, development of predictive models, and implementation of machine learning algorithms.

# Column Descriptors

• title: The listing's title, summarizing the key selling points of the property.
• displayAddress: The public address of the property, including the community and city.
• bathrooms: The number of bathrooms available in the property.
• bedrooms: The number of bedrooms available in the property.
• addedOn: The timestamp indicating when the property was added to the listing platform.
• type: Specifies whether the property is residential, commercial, etc.
• price: The listed price of the property in AED.
• verified: A boolean value indicating whether the listing has been verified by the platform.
• priceDuration: Indicates if the property is listed for sale or rent.
• sizeMin: The minimum size of the property in square feet.
• furnishing: Describes whether the property is furnished, unfurnished, or partially furnished.
• description: A more detailed narrative about the property, including additional features and selling points.

# Ethically Mined Data

This dataset was ethically scraped using the Apify API, ensuring compliance with data privacy standards. All personal data such as agent names, phone numbers, and any other sensitive information have been omitted from this dataset to ensure privacy and ethical use. The data is intended solely for educational purposes and should not be used for commercial activities.

# Acknowledgements

This dataset was made possible thanks to the following:

• Apify: For providing the API to ethically scrape the data.
• Propertyfinder and various other real estate websites in the UAE for the original listings.
• Kaggle: For providing the platform to share and analyze this dataset.

-**Photo by** : Francesca Tosolini on Unsplash

Use the Data Responsibly

Please ensure that this dataset is used responsibly, with respect to privacy and data ethics. This data is provided for educational purposes.

In March 2025, the Walt Disney Company properties were ranked first among the most popular multiplatform web properties in the United States with over 249 million visitors from mobile and desktop connections – popular Disney online properties include Disney Entertainment, which consists of the company's film, television, music, and streaming media assets, and ESPN, among other online services.

BatchData provides comprehensive home ownership data for 87 million owners of residential homes in the US. We specialize in providing accurate contact information for owners of specific properties, trusted by some of the largest real estate companies for our superior capabilities in accurately unmasking owners of properties that may be hidden behind LLCs and corporate veils.

Our home ownership data is commonly used to fuel targeted marketing campaigns, generating real estate insights, powering websites/applications with real estate intelligence, and enriching sales and marketing databases with accurate homeowner contact information and surrounding intelligence to improve segmentation and targeting.

Home ownership data that is linked to a given property includes: - Homeowner Name(s) - Homeowner Cell Phone Number - Homeowner Email Address - Homeowner Mailing Address - Addresses of Properties Owned - Homeowner Portfolio Equity - Total Number of Properties Owned - Property Characteristics of Properties Owned - Homeowner sales, loan, and mortgage information - Property Occupancy Status of Properties Owned - Property Valuation & ARV information of Properties Owned - Ownership Length - Ownership History - Homeowner Age - Homeowner Marital Status - Homeowner Income - and more!

BatchService is both a data and technology company helping companies in and around the real estate ecosystem achieve faster growth. BatchService specializes in providing accurate B2B and B2C contact data for US property owners, including in-depth intelligence and actionable insights related to their property. Our portfolio of products, services, and go-to-market expertise help companies identify their target market, reach the right prospects, enrich their data, consolidate their data providers, and power their products and services.

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...

Context

Traditionally speaking, finding the right home is often a long, stressful, and tedious process. But, online system and e-real state makes it easier by giving customer details and unique insights on the homes they’re interested in. Real Estate systems have been expanded recently, generally each company built its own website to advertise its products and perform online buying and selling. Therefore, consumers can get lost in searching among those all websites and it became more conflict and time consuming. For that reason, building Real Estate Recommender System to be used as base for many user of one product became more desirable.

Also the recommendation systems here assist the user to filter the information according to users’ needs because the database for system can be huge and it will take time to get the information. #
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Content

The dataset has been generated by one of these real state systems and the system logs is a mirror of online rental process. That means that from user subscription to visit and rent there are several steps which each step has a record in user-activity.csv file. Also property.csv will get more details about the items. user-activity collaboration is main data for behavioral analysis and building recommendation algorithms.

Starter Kernels

• Clustering
• Data Understanding and EDA

Inspiration

• You can find property data a good source for segmentation and clustering. How do you cluster the properties ? How feature engineering will help and which preprocessing step should be followed?
• user-activity data is the main data source for implementing recommendation algorithms.:
  1. What are similar users? Similar properties?
  2. We have to present a mechanism for rating the properties (by customer,/customer interest) by user if we plan to use model based CF e.g. Matrix Factorization algorithms for better results. How we can deliver this rating by data in hands e.g. event logs. Do the outputs from clustering help?
  3. Is the data quality enough to implement collaborative filtering algorithms or other recommendation methods ?
  4. How do you validate your recommendation models? #
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General Services Administration Owned PropertiesThis National Geospatial Data Asset (NGDA) dataset, shared as a General Services Administration (GSA) feature layer, displays federal government owned properties in the United States, Puerto Rico, Northern Mariana Islands, U.S. Virgin Islands, Guam and American Samoa. Per GSA, it is "the nation’s largest public real estate organization, provides workspace for over one million federal workers. These employees, along with government property, are housed in space owned by the federal government and in leased properties including buildings, land, antenna sites, etc. across the country."Federally owned buildings in downtown DCData currency: Current federal service (FC_IOLP_BLDG))NGDAID: 133 (Inventory of Owned and Leased Properties (IOLP))OGC API Features Link: Not AvailableFor more information: Real EstateFor feedback please contact: Esri_US_Federal_Data@esri.comNGDA Data SetThis data set is part of the NGDA Real Property Theme Community. Per the Federal Geospatial Data Committee (FGDC), Real Property is defined as "the spatial representation (location) of real property entities, typically consisting of one or more of the following: unimproved land, a building, a structure, site improvements and the underlying land. Complex real property entities (that is "facilities") are used for a broad spectrum of functions or missions. This theme focuses on spatial representation of real property assets only and does not seek to describe special purpose functions of real property such as those found in the Cultural Resources, Transportation, or Utilities themes."For other NGDA Content: Esri Federal Datasets

Customer service was the most mentioned theme in online reviews of multifamily properties in 2024. Close to 58 percent of reviews mentioned customer service as a compliment and 14.5 percent as a complaint. Some websites where renters review properties are Google, ApartmentRatings, Modern Message, ApartmentGuide.com, and Rent.com. Google accounted for the largest share of reviews, whereas Modern Message had the most positive reviews in 2024.