Explore property insights effortlessly with APISCRAPY's services – Realtor Property Data, Realtor Data, and Realtor API. Access publicly available property listings and Property Owner Data seamlessly. Our platform is easy to integrate, making property data access simple and efficient.

About Dataset

Dataset Overview This dataset provides a snapshot of real estate transactions in London for 2024. It includes key property details such as the number of bedrooms, bathrooms, living space size, lot size, and transaction price. Additionally, it incorporates information about property features like waterfront views, renovation history, and construction quality. Designed for educational and research purposes, the dataset offers insights into London's real estate market trends and serves as a valuable resource for data analysis and machine learning applications.

Data Science Applications This dataset is ideal for students, researchers, and professionals seeking to apply data science techniques to real-world real estate data. Potential applications include:

Exploratory Data Analysis (EDA): Investigate price trends, property characteristics, and geographical distribution of transactions. Price Prediction Models: Develop machine learning models to predict property prices based on features like size, location, and condition. Trend Analysis: Analyze historical and geographical trends in property prices and features. Geospatial Analysis: Map properties based on latitude and longitude to identify hotspots or underserved areas.

Column Descriptions

Ethically Mined Data This dataset was ethically sourced from publicly available property listings. It does not include any Personally Identifiable Information (PII) or data that could infringe on individual privacy. All information represents public details about properties for sale in London.

Acknowledgements

Data Source: Real estate data provided from publicly accessible resources. Image Credit: Unsplash for real estate-themed visuals. Use this dataset responsibly for educational and analytical purposes!

Detailed US vacation rental property listing compilation including identifiers, valuation metrics, and tax information from OTAs.

The VR OTA Real Estate dataset provides a detailed real estate listing compilation that includes property identifiers, valuation metrics, physical characteristics, and tax information for vacation rental properties listed on OTAs.

This is a comprehensive collection of tax and assessment data extracted at a specific time. The data is in CSV format. A data dictionary (pdf) and the current tax rate book (pdf) are also included.

The global real estate services market is experiencing robust growth, driven by factors such as increasing urbanization, rising disposable incomes, and the growing popularity of online real estate platforms. The market, currently valued at approximately $5 trillion in 2025, is projected to expand at a compound annual growth rate (CAGR) of 7% from 2025 to 2033, reaching an estimated value of $9 trillion by 2033. This growth is fueled by both the residential and commercial sectors, with significant contributions from various service types, including trading and rental services. The increasing demand for professional real estate services, particularly in emerging markets, further contributes to this expansion. Technological advancements, such as the integration of artificial intelligence and big data analytics, are transforming the industry, leading to increased efficiency and improved customer experiences. Key players are adopting innovative strategies like virtual tours and property management software to cater to the evolving needs of clients. Segmentation analysis reveals a significant share held by the residential sector within the application segment, while trading services constitute a larger portion of the overall service type segment. North America and Asia-Pacific currently dominate the market, but emerging economies in regions like South America and Africa are showing promising growth potential. The market's growth, however, is not without its challenges. Regulatory changes, economic fluctuations, and the cyclical nature of the real estate market pose potential restraints. Despite these challenges, the overall outlook for the real estate services market remains positive, with consistent growth projected throughout the forecast period. The increasing adoption of technology and the growing demand for specialized services across diverse geographical areas continue to drive market expansion. The industry is undergoing a transformation, and companies are adapting their strategies to remain competitive in this dynamic landscape. Successful businesses are effectively leveraging data analytics, enhancing customer engagement, and building strategic partnerships to capitalize on emerging opportunities and maintain a robust market position.

Dataset

This dataset was created by Prakhar Prasad

Contents

This is a comprehensive collection of tax and assessment data extracted at a specific time. The data is in CSV format. A data dictionary (pdf) and the current tax rate book (pdf) are also included.

Graph and download economic data for Real Residential Property Prices for United States (QUSR628BIS) from Q1 1970 to Q4 2024 about residential, HPI, housing, real, price index, indexes, price, and USA.

Introduction

Welcome to the Canadian English Call Center Speech Dataset for the Real Estate domain designed to enhance the development of call center speech recognition models specifically for the Real Estate industry. This dataset is meticulously curated to support advanced speech recognition, natural language processing, conversational AI, and generative voice AI algorithms.

Speech Data:

This training dataset comprises 30 Hours of call center audio recordings covering various topics and scenarios related to the Real Estate domain, designed to build robust and accurate customer service speech technology.

Topic Diversity

This dataset offers a diverse range of conversation topics, call types, and outcomes, including both inbound and outbound calls with positive, neutral, and negative outcomes.

This extensive coverage ensures the dataset includes realistic call center scenarios, which is essential for developing effective customer support speech recognition models.

Transcription

To facilitate your workflow, the dataset includes manual verbatim transcriptions of each call center audio file in JSON format. These transcriptions feature:

These ready-to-use transcriptions accelerate the development of the Real Estate domain call center conversational AI and ASR models for the Canadian English language.

Metadata

The dataset provides comprehensive metadata for each conversation and participant:

This metadata is a powerful tool for understanding and characterizing the data, enabling informed decision-making in the development of Canadian English call center speech recognition models.

What Makes Our Data Unique?

Inmuebles24’s Mexico Real Estate Listings Data offers an unparalleled level of detail and accuracy in the real estate sector. With over 100,000 meticulously curated property listings, this dataset is designed to provide users with the most comprehensive view of the Mexican real estate market. Each listing includes detailed metadata such as property type, location, pricing, and contact information, along with additional attributes like the number of bedrooms, bathrooms, and available amenities. Our data is enriched with precise geolocation coordinates, allowing for advanced spatial analysis and mapping applications.

Our dataset stands out for its up-to-date nature, with listings scraped and refreshed regularly to ensure that buyers and analysts always have access to the latest market trends. This dynamic approach to data curation means that users can trust the data for making informed decisions, whether they are monitoring market trends, conducting investment research, or developing real estate strategies.

How Is the Data Generally Sourced?

The data is sourced directly from Inmuebles24, one of Mexico's leading real estate marketplaces. We employ a robust web scraping infrastructure that captures the full breadth of listings available on the platform. Our scraping technology is designed to extract data efficiently, ensuring that we capture every relevant detail from the listings, including images, descriptions, pricing, and metadata. Each entry is validated and cleaned to remove any duplicates or outdated information, ensuring that the dataset is both comprehensive and reliable.

Primary Use-Cases and Verticals

This Data Product is particularly valuable across several key verticals:

Real Estate Investment Analysis: Investors can leverage this dataset to identify lucrative opportunities by analyzing property prices, location attributes, and market trends.

Market Research and Trends: Researchers can use the data to track the evolution of the real estate market in Mexico, identifying shifts in pricing, demand, and supply across various regions.

Property Development: Developers can assess the market landscape, understanding where new developments might meet the most demand based on the attributes and locations of current listings.

Urban Planning: Government and city planners can utilize the geolocation data to analyze urban sprawl, housing density, and other critical metrics for sustainable development.

Real Estate Marketing: Marketers and real estate agents can tailor their strategies based on detailed insights into the types of properties available, pricing trends, and consumer preferences.

How Does This Data Product Fit into Our Broader Data Offering?

This Mexico Real Estate Listings Data Product is part of our broader commitment to providing high-quality, actionable data across various sectors and geographies. Inmuebles24’s real estate data complements our extensive portfolio of data products that cater to industries such as financial services, marketing, and location-based services. By integrating this dataset with other data offerings, users can derive even deeper insights. For example, combining real estate data with consumer behavior data could unlock new dimensions of market research, enabling a more holistic approach to understanding market dynamics.

Our broader data offering is built around the principle of providing end-to-end data solutions that empower businesses to make data-driven decisions with confidence. Whether you’re a real estate investor, a market researcher, or a developer, our data products are designed to meet your needs with precision and reliability

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

Dataset

This dataset was created by Ashish Jayswal

Released under CC0: Public Domain

Contents

In 2023 and the first half of 2024, the largest property sale in the data center real estate market in Europe was DATA4 Paris-Saclay in Paris. In April 2023, Brookfield bought the 47,300 square meter property from AXA for an undisclosed price. The most expensive sale was Digital Frankfurt I. The valuation of the site was 270 million U.S. dollars and Digital Core REIT obtained 24.9 percent from Digital Realty.

The United States real estate brokerage market, valued at $197.33 billion in 2025, is projected to experience steady growth, exhibiting a Compound Annual Growth Rate (CAGR) of 2.10% from 2025 to 2033. This growth is driven by several key factors. A robust housing market, fueled by increasing population and urbanization, continues to generate significant demand for brokerage services. Technological advancements, such as improved online platforms and data analytics, are streamlining operations and enhancing efficiency for both brokers and consumers. The rise of iBuyers and proptech companies, while posing some competition, also contribute to market expansion by creating innovative solutions and attracting a broader customer base. Furthermore, a shift toward specialized services, catering to niche markets like luxury properties or commercial real estate, is expected to contribute to market diversification and growth. The market is segmented into residential and non-residential sectors, with sales and rental services further dividing each segment. Major players such as Keller Williams, RE/MAX, Coldwell Banker, and Berkshire Hathaway Home Services maintain significant market shares, competing through brand recognition, extensive networks, and technological capabilities. However, certain restraints are present. Interest rate fluctuations and economic uncertainty can impact buyer confidence and consequently, transaction volume. Increasing regulatory scrutiny and compliance costs also add operational challenges for brokerage firms. Competition from independent agents and disruptive technologies demands continuous adaptation and innovation to maintain market competitiveness. The residential segment is expected to remain the largest, driven by consistent demand, while the non-residential sector may show slightly slower growth given fluctuations in commercial investment and development cycles. The sales segment will likely maintain its predominance, although the rental market is anticipated to see growth, reflecting evolving consumer preferences and rental market trends. The ongoing evolution of the market will likely see greater consolidation among larger firms and an increased focus on technological solutions, enhancing transparency, customer experience, and overall market efficiency. This comprehensive report provides an in-depth analysis of the United States real estate brokerage market, covering the period from 2019 to 2033. It leverages extensive market research and data analysis to offer valuable insights into market trends, growth drivers, challenges, and key players. The report is essential for investors, industry professionals, and anyone seeking a comprehensive understanding of this dynamic sector. The base year for this analysis is 2025, with estimations for 2025 and forecasts extending to 2033, utilizing historical data from 2019-2024. Search terms optimized for maximum visibility include: real estate brokerage, US real estate market, real estate trends, residential real estate, commercial real estate, real estate agents, real estate investment, real estate technology, M&A real estate, and real estate market analysis. Recent developments include: May 2024: Compass Inc., the leading residential real estate brokerage by sales volume in the United States, acquired Parks Real Estate, Tennessee's top residential real estate firm that boasts over 1,500 agents. Known for its strategic acquisitions and organic growth, Compass's collaboration with Parks Real Estate not only enriches its agent pool but also grants these agents access to Compass's cutting-edge technology and a vast national referral network., April 2024: Compass has finalized its acquisition of Latter & Blum, a prominent brokerage firm based in New Orleans. Latter & Blum, known for its strong foothold in Louisiana and other Gulf Coast metros, has now become a part of Compass. This strategic move not only solidifies Compass' presence in the region but also propels it to a significant market share, estimated at around 15% in New Orleans.. Key drivers for this market are: 4., Increasing Urbanization Driving the Market4.; Regulatory Environment Driving the market. Potential restraints include: 4., Increasing Urbanization Driving the Market4.; Regulatory Environment Driving the market. Notable trends are: Industrial Sector Leads Real Estate Absorption, Retail Tightens Vacancy Rates.

Graph and download economic data for Employment for Real Estate and Rental and Leasing: Offices of Real Estate Agents and Brokers (NAICS 53121) in the United States (IPULN53121W010000000) from 1987 to 2024 about offices, agents, brokers, leases, rent, NAICS, real estate, employment, and USA.

China Real Estate: Sales Revenue data was reported at 9,589,690.064 RMB mn in 2017. This records an increase from the previous number of 9,009,150.637 RMB mn for 2016. China Real Estate: Sales Revenue data is updated yearly, averaging 810,756.060 RMB mn from Dec 1988 (Median) to 2017, with 30 observations. The data reached an all-time high of 9,589,690.064 RMB mn in 2017 and a record low of 16,212.340 RMB mn in 1988. China Real Estate: Sales Revenue data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Real Estate Sector – Table CN.RKF: Real Estate Enterprise: All.

Datasets contains 4 files- the excel file is the original file after scraping the data from the website but is very raw and uncleaned. After spending a lot of time, I tried to clean the data, which I thought fits best to represent the dataset and can be used for projects. Explore all the datasets and share your notebooks and insights! Consider upvoting if you find it helpful, Thank you.

United States - Producer Price Index by Industry: Offices of Real Estate Agents and Brokers: Real Estate Brokerage, Residential Property Sales and Leases was 277.10300 Index Dec 1995=100 in March of 2025, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Industry: Offices of Real Estate Agents and Brokers: Real Estate Brokerage, Residential Property Sales and Leases reached a record high of 277.81000 in September of 2024 and a record low of 99.80000 in January of 1996. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Industry: Offices of Real Estate Agents and Brokers: Real Estate Brokerage, Residential Property Sales and Leases - last updated from the United States Federal Reserve on May of 2025.

CN: Real Estate Investment: Shandong data was reported at 754,415.050 RMB mn in 2024. This records a decrease from the previous number of 816,886.000 RMB mn for 2023. CN: Real Estate Investment: Shandong data is updated yearly, averaging 470,831.000 RMB mn from Dec 2000 (Median) to 2024, with 25 observations. The data reached an all-time high of 981,974.960 RMB mn in 2021 and a record low of 22,329.000 RMB mn in 2000. CN: Real Estate Investment: Shandong data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Real Estate Sector – Table CN.RKA: Real Estate Investment: Summary.

This is a collection of CSV files that contain assessment data. The files in this extract are: Primary Parcel file containing primary owner and land information; Addn file containing drawing vectors for dwelling records; Additional Address file containing any additional addresses that exist for a parcel; Assessment file containing assessed value-related data; Appraisal file containing appraised value-related data; Commercial file containing primary commercial data; Commercial Apt containing commercial apartment data; Commercial Interior Exterior data Dwelling file Entrance data containing data from appraisers' visits; Other Buildings and Yard Improvements Sales File Tax Rate File for the current billing cycle by taxing district authority and property class; and, Tax Payments File containing tax charges and payments for current billing cycle.In addition to the CSV files, the following are included: Data Dictionary PDF; and, St Louis County Rate Book for the current tax billing cycle.