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

Features:

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

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

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

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

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

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

1. Analytical Insights:

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

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

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

1. Utility:

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

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

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

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

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

Key Features:

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

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

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

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

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

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

Graph and download economic data for Housing Inventory: Median Days on Market in the United States (MEDDAYONMARUS) from Jul 2016 to Jun 2025 about median and USA.

Real estate is a dynamic and ever-evolving industry that relies heavily on data to make informed decisions. One of the fundamental aspects of this industry is real estate listing data. This data encompasses detailed information about properties that are available for sale or rent in a given market. It plays a pivotal role in assisting buyers, sellers, real estate professionals, and investors in making well-informed choices. In this data brief, we will provide an overview of what real estate listing data is and highlight five key industry use cases.

Real Estate Listings Data Includes:

• Property Location
• 50+ Property and Building Characteristics
• School District Information
• List Date
• Listing Price - Maximum, Minimum, Sold Price
• Listing Status
• Number of Days on Market
• Listing Agent and Office

Graph and download economic data for Producer Price Index by Industry: Offices of Real Estate Agents and Brokers: Real Estate Brokerage, Nonresidential Property Leases Including Land Leases (PCU531210531210602) from Dec 2009 to Jun 2025 about agents, land, brokers, nonresidential, leases, real estate, PPI, industry, inflation, price index, indexes, price, and USA.

Abstract

A multiple listing service (MLS) is an exchange where real estate brokers share information about properties they are selling. Other real estate brokers review the listings, and are compensated if they can identify a buyer for a property. Multiple listing services promote cooperation and mutual benefit for real estate brokers representing buyers and sellers. The CoreLogic Multiple Listing Service data contains listings from 135 real estate boards utilizing CoreLogic’s multiple listing service software. The data was produced in August 2024.

Methodology

The data consists of listings from 135 real estate boards that use CoreLogic listing software. The data DOES NOT cover listings from all real estate boards in the United States. The National Association of Realtors maintains the most complete and up-to-date list of real estate boards; however, this information is only available to members of the National Association of Realtors.

For more information about how the data was prepared for Redivis, please see CoreLogic 2024 GitLab.

Usage

Quick Search (QS) contains the most recent listing data (as of August 2024). In order to see the entire listing history of a property/record, you will need to search the Quick History (QH) table on the SysPropertyID, which is a unique key for a listing across multiple listing boards. You can use the variable FA_PostDate to see when updates occurred. Updates include name changes, price changes, etc.

During upload to Data Farm, a small number of invalid records were dropped from the Quick History (QH) table. For more information, see CoreLogic 2024 GitLab. To access the complete data (including invalid records), please see Bulk Data Access instructions, below.

Bulk Data Access

Data access is required to view this section.

The real estate marketing services market is experiencing robust growth, driven by increasing adoption of digital marketing strategies and a competitive landscape demanding innovative approaches to reach potential buyers and sellers. The market, estimated at $15 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033. This significant growth is fueled by several key factors. Firstly, the rising popularity of online property portals and social media platforms necessitates sophisticated digital marketing strategies. Secondly, the increasing use of data analytics and targeted advertising allows real estate professionals to reach specific demographics with tailored campaigns. Finally, the ongoing demand for reputation management services highlights the importance of building and maintaining a strong online presence. Segmentation analysis reveals that Media Advertising, Search Engine Optimization (SEO), and Reputation Management constitute major service types within the market. Application-wise, Realtors, Brokers, and Developers represent significant consumer segments. The competitive landscape comprises both established marketing agencies specializing in real estate and smaller, niche providers leveraging their individual expertise. This dynamic environment encourages continuous innovation in marketing tactics and fuels market expansion. This growth is not uniform across all segments. While SEO and reputation management maintain steady high demand, the media advertising segment shows a trend towards specialized, targeted campaigns rather than blanket advertising. The geographical distribution of the market reflects global trends in real estate activity, with North America and Europe currently dominating the market share, driven by robust economies and advanced digital infrastructure. However, Asia-Pacific and other emerging markets are expected to witness significant growth in the coming years due to expanding middle classes and increasing real estate investments. The market's evolution necessitates real estate professionals to adapt to changing consumer behaviour and adopt innovative strategies, fostering a constant pursuit of improved marketing techniques and technologies. This dynamic interplay between technological advancements, evolving consumer preferences, and competitive pressures will shape the future trajectory of the real estate marketing services market.

United States - Producer Price Index by Industry: Offices of Real Estate Agents and Brokers: Real Estate Brokerage, Nonresidential Property Leases Including Land Leases was 131.87900 Index Dec 2009=100 in June 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, Nonresidential Property Leases Including Land Leases reached a record high of 131.91700 in February of 2025 and a record low of 98.00000 in July of 2011. 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, Nonresidential Property Leases Including Land Leases - last updated from the United States Federal Reserve on July of 2025.

Real Estate Brokerage Services Market Outlook

The global real estate brokerage services market size was valued at USD 210.3 billion in 2023 and is projected to reach USD 310.8 billion by 2032, growing at a compound annual growth rate (CAGR) of 4.3% during the forecast period. This growth is driven by several factors, including increasing urbanization, the rising number of property transactions, and the integration of advanced technologies in real estate brokerage services.

The growth of urban populations worldwide is one of the primary factors driving the real estate brokerage services market. As more people move to cities, the demand for residential and commercial properties increases, leading to a higher number of property transactions. This urbanization trend is particularly significant in developing countries, where rapid economic growth and migration to urban centers fuel the demand for real estate brokerage services. Consequently, the need for professional brokerage services to facilitate these transactions has surged, driving market expansion.

Another significant growth driver for the market is the increasing number of property transactions. As economies grow and consumer confidence improves, more individuals and corporations are investing in real estate. This trend is supported by favorable government policies, such as tax incentives and subsidies, which encourage real estate investments. Additionally, low-interest rates on mortgages have made property purchases more accessible to a broader audience, further boosting the demand for real estate brokerage services. As a result, the market is expected to experience sustained growth over the forecast period.

The integration of advanced technologies, such as artificial intelligence (AI), big data, and blockchain, in real estate brokerage services is also contributing to market growth. These technologies enable brokers to provide more efficient and personalized services to their clients. For instance, AI-powered tools can analyze vast amounts of data to identify potential property matches for clients, while blockchain technology ensures secure and transparent transactions. By adopting these innovations, real estate brokerage firms can enhance their service offerings and attract more clients, thereby driving market expansion.

In this evolving landscape, the role of an Information Broker Service is becoming increasingly significant. These services act as intermediaries that gather, analyze, and distribute data to support decision-making processes in the real estate sector. By leveraging vast amounts of information, brokers can provide clients with valuable insights into market trends, property valuations, and investment opportunities. The integration of information broker services enhances the ability of real estate firms to offer tailored solutions, thereby improving client satisfaction and driving business growth. As the demand for data-driven decision-making continues to rise, the importance of information broker services in the real estate industry is expected to grow, offering a competitive edge to firms that adopt these technologies.

The regional outlook for the real estate brokerage services market is diverse, with varying growth rates and trends across different regions. North America, particularly the United States, continues to dominate the market due to its well-established real estate sector and high property transaction volume. Meanwhile, the Asia Pacific region is experiencing rapid growth, driven by increasing urbanization and economic development in countries such as China and India. Europe is also witnessing steady growth, supported by a stable economy and favorable government policies. Latin America and the Middle East & Africa regions are expected to show moderate growth, with improving economic conditions and increasing foreign investments in real estate contributing to market expansion.

Service Type Analysis

The real estate brokerage services market is segmented into residential brokerage, commercial brokerage, industrial brokerage, and land brokerage. Residential brokerage occupies a significant market share due to the high volume of residential property transactions. The demand for residential properties is driven by factors such as population growth, urbanization, and increasing disposable incomes. Additionally, the trend of nuclear families and single-person households has led to a higher demand for individual residential units, further boosting the resid

United States - Producer Price Index by Industry: Offices of Real Estate Agents and Brokers: Real Estate Brokerage, Residential Property Sales and Leases was 280.62100 Index Dec 1995=100 in May 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 280.62100 in May of 2025 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 July of 2025.

The real estate services market is experiencing robust growth, driven by several key factors. A rising global population, coupled with increasing urbanization and a demand for improved housing and commercial spaces, fuels consistent market expansion. Technological advancements, such as proptech solutions enhancing efficiency and transparency in property transactions, are further accelerating growth. The market is segmented by service type (property management, brokerage, appraisal, etc.), property type (residential, commercial, industrial), and geographic region. While precise market sizing requires proprietary data, a conservative estimate based on industry reports and observed CAGR suggests a 2025 market value of approximately $5 trillion globally. This estimate considers the substantial contributions of major players like Associa, CBRE, and Zillow, and accounts for the diverse range of services offered across residential and commercial segments. Furthermore, the integration of technology across segments will continue to be a significant driver of growth in the coming years. Looking ahead to 2033, the market's continued expansion is projected, driven by factors such as evolving consumer preferences, growing investor interest in real estate, and the ongoing need for professional services in a complex market. However, economic fluctuations, regulatory changes, and potential shifts in demographic trends could introduce challenges. Despite these potential headwinds, the long-term outlook remains positive due to the fundamental need for real estate services across various sectors, coupled with ongoing technological innovation and evolving consumer expectations. The continued rise of online platforms and data-driven decision making in real estate investment and property management will shape future market dynamics, creating opportunities for both established firms and disruptive startups.

China's large population, the accelerating urbanization process, rising household disposable incomes, and strong economic expansion have all contributed to the development of the real estate market. As a result, demand for real estate agents in China has been rising to meet the expanding market volumes and requirements for higher transaction efficiency.Over the five years through 2025, industry revenue is anticipated to decrease at a CAGR of 3.3%, including a decline of 2.2% in 2025. A competitive market has led to speculation and inflated housing prices in recent years. As a result, the Chinese government has implemented property-purchasing and loan limitations, price restrictions, and housing tax reforms to regulate industry development and limit speculation. Since 2022, consumers' demand for real estate has declined due to the COVID-19 epidemic and economic downturn. In 2023, the newly constructed area of real estate decreased by 20.9% year-on-year, which was narrower than that in 2022, while the completed area of real estate in this year increased by 15.8%.Over the five years through 2030, ACMR-IBISWorld forecasts that China's Real Estate Agents industry will recover, with revenue increasing at a CAGR of 1.9%. Due to intensifying competition, the separation of real estate development and sales will continue. Outsourcing real estate sales operations will improve the operational efficiency of real estate developers and offer new opportunities for real estate intermediary service providers in the industry.

The North America Real Estate Brokerage Market Report is Segmented by Property Type (Residential, Commercial), Service (Sales, Rental/Leasing), Client Type (Individuals/Households, Corporates & SMEs, Others), and by Country (United States, Canada, Mexico). The Market Forecasts are Provided in Terms of Value (USD).

Our dataset features comprehensive housing market data, extracted from 250,000 records sourced directly from Redfin USA. Our Crawl Feeds team utilized proprietary in-house tools to meticulously scrape and compile this valuable data.

Key Benefits of Our Housing Market Data:

• In-Depth Market Analysis: Gain insights into the real estate market with up-to-date data on recently sold properties.
  
  
• Price Trend Identification: Track and analyze price trends across different cities.
  
  
• Accurate Price Estimation: Estimate property values based on key factors such as area, number of beds and baths, square footage, and more.
  
  
• Detailed Real Estate Statistics: Access detailed statistics segmented by zip code, area, and state.

Unlock the Power of Redfin Data for Real Estate Professionals

Leveraging our Redfin properties dataset allows real estate professionals to make data-driven decisions. With detailed insights into property listings, sales history, and pricing trends, agents and investors can identify opportunities in the market more effectively. The data is particularly useful for comparing neighborhood trends, understanding market demand, and making informed investment decisions.

Enhance Your Real Estate Research with Custom Filters and Analysis

Our Redfin dataset is not only extensive but also customizable, allowing users to apply filters based on specific criteria such as property type, listing status, and geographic location. This flexibility enables researchers and analysts to drill down into the data, uncovering patterns and insights that can guide strategic planning and market entry decisions. Whether you're tracking the performance of single-family homes or exploring multi-family property trends, this dataset offers the depth and accuracy needed for thorough analysis.

Looking for deeper insights or a custom data pull from Redfin?
Send a request with just one click and explore detailed property listings, price trends, and housing data.
🔗 Request Redfin Real Estate Data

In a constantly changing marketplace, access to timely property listings data is crucial. With this robust data set, you can gain a complete view of a single property, market trends, and even buyer behavior.

The North American real estate brokerage market is a substantial and dynamic sector, exhibiting steady growth. The market size in 2025 is estimated at $227.08 million, demonstrating its significant scale. A Compound Annual Growth Rate (CAGR) of 2.30% is projected from 2025 to 2033, indicating a consistent, albeit moderate, expansion. This growth is fueled by several key drivers, including a persistently strong housing market in certain regions, increasing demand for luxury properties, the rising popularity of online real estate platforms, and the ongoing need for professional real estate services, particularly in navigating complex transactions. Technological advancements, such as the use of virtual tours and sophisticated data analytics, are enhancing efficiency and improving the customer experience, further bolstering market expansion. While challenges exist, such as fluctuating interest rates and potential economic uncertainty, the market's resilience and the consistent demand for brokerage services suggest a positive outlook for the foreseeable future. The leading players in this competitive market, including Keller Williams Realty, RE/MAX, Coldwell Banker Real Estate, and others, are constantly innovating and adapting to changing consumer preferences and technological advancements. These companies are investing heavily in technology, expanding their digital presence, and developing specialized services to maintain their market share and cater to diverse clientele needs. The market is segmented by various factors, including service type (residential, commercial), property type (single-family homes, multi-family units, commercial buildings), and geographic location (with significant variations in market activity across different states and regions). Future growth will be significantly influenced by evolving consumer behavior, regulatory changes, and the overall health of the North American economy. Further analysis of specific regional data and segment performance would provide a more nuanced understanding of future market trends. 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 Rental Growth Faces Challenges Amidst Changing Dynamics.

The global market for real estate agent apps is experiencing robust growth, driven by the increasing adoption of mobile technology and the need for enhanced efficiency and client engagement in the real estate sector. The market, estimated at $2.5 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $7.8 billion by 2033. This growth is fueled by several key factors. Firstly, the rising preference for mobile-first solutions among both agents and clients streamlines communication, property showcasing, and transaction management. Secondly, the integration of advanced features like virtual tours, CRM integration, and marketing tools within these apps provides a competitive edge for real estate agents, leading to increased adoption. Furthermore, the expanding availability of high-speed internet and affordable smartphones across various regions is significantly boosting market penetration, particularly in emerging economies. While the Enterprise segment currently holds a larger market share, the Individual segment is experiencing faster growth driven by the ease of use and affordability of these apps. Both Android and iOS platforms are witnessing significant traction, indicating strong cross-platform appeal. However, market growth faces certain challenges. These include the high initial investment required for app development and maintenance, the need for continuous updates to stay competitive with evolving technology, and potential security concerns related to sensitive client data. Furthermore, regulatory changes and data privacy regulations could also pose challenges for the industry. Despite these constraints, the overall market outlook remains highly positive, driven by the long-term trend of digital transformation within the real estate sector and the continued demand for convenient and efficient real estate solutions. The competitive landscape is characterized by a mix of established players and emerging startups, leading to continuous innovation and improved functionality within the real estate agent app market.

The real estate sales and brokerage industry is navigating a complex landscape with high mortgage rates and dropping home sales. The Federal Reserve's decision to raise the benchmark interest rate 11 times across 2022 and 2023 to combat inflation led to a significant climb in mortgage rates, dampening buyer demand and affordability. This gain has deterred homeowners from selling, leading to low housing inventory. Despite the rate cuts that came in 2024, mortgage rates remain high, with the typical 30-year fixed mortgage staying above 6.5%. Existing home sales also hit a near 30-year low in 2024, mainly because of high home prices and tight supply. Amid these challenges, the real estate market has seen a surge in home values, propelling industry growth. This growth greatly benefits real estate agents and brokerages, who often base their commissions on the house's selling price. Despite the high vacancy rates, the office market also shows signs of picking up, primarily because of demand for high-quality assets such as Class A office spaces and modern buildings. Increased competitive pressure necessitates more aggressive marketing tactics to secure listings and attract sellers. Nonetheless, because of the industry's robust performance from 2020 to 2021, revenue has climbed at a CAGR of 0.8% over the past five years, reaching $241.3 billion in 2025. 2025 revenue will climb an estimated 1.0% as home price appreciation and a rebound in commercial sales volume will fuel tepid growth. The higher-for-longer interest rate environment is expected to slow the industry's growth. The high mortgage rates and escalating home prices will likely price out many potential home buyers from the market, forcing customers to rent or live in multifamily complexes. The limited new office construction will stimulate office building sales and intensify brokerage activity. The housing stock situation is expected to remain tight, with homeowners staying in their homes for longer and contributing to home price appreciation. Amid these conditions, a likely shift toward new construction and build-to-rent properties for agents and brokers is anticipated. Increased competition in the form of market saturation and disruption from online platforms will inhibit profit growth. Overall, industry revenue will gain at a CAGR of 2.3% to reach $270.8 billion in 2030.

South Carolina Real Estate Dataset 2025

Dataset Overview

This comprehensive real estate dataset contains over 5,000 property listings from South Carolina, collected in 2025 from Realtor.com using apify api. The dataset captures diverse property types including single-family homes, condominiums, land parcels, townhomes, and other residential properties. This dataset provides a rich snapshot of South Carolina's real estate market suitable for predictive modeling, market analysis, and investment research.

Data Science Applications

• Price Prediction Models: Build regression models (Random Forest, XGBoost, Neural Networks) to predict property values based on size, location, bedrooms, and age
• Property Type Classification: Develop multi-class classifiers to categorize properties based on physical characteristics
• Market Segmentation: Apply clustering algorithms (K-means, DBSCAN) to identify distinct property segments and price brackets
• Time Series Analysis: Analyze construction trends and property age distributions to forecast future development patterns
• Investment Opportunity Detection: Create anomaly detection models to identify undervalued properties or outliers
• Feature Engineering: Generate derived features like price per square foot, bathroom-to-bedroom ratios for enhanced model performance

Column Descriptors

• type: Primary property category (single_family, condos, land, townhomes, multi_family, farm)
• sub_type: Detailed property classification (condo, townhouse, co_op)
• sqft: Property size in square feet
• baths: Number of bathrooms (decimal values indicate half baths)
• beds: Number of bedrooms
• stories: Number of floors/stories in the property
• year_built: Construction year of the property
• listPrice: Property listing price in USD

Ethically Obtained Data

This dataset was ethically scraped from publicly available listings on Realtor.com and is provided strictly for educational and learning purposes only. The data collection complied with ethical web scraping practices and contains only publicly accessible information. Users should utilize this dataset exclusively for academic research, educational projects, and learning data science techniques. Any commercial use is strictly prohibited.