Success.ai’s Commercial Real Estate Data and B2B Contact Data for Global Real Estate Professionals is a comprehensive dataset designed to connect businesses with industry leaders in real estate worldwide. With over 170M verified profiles, including work emails and direct phone numbers, this solution ensures precise outreach to agents, brokers, property developers, and key decision-makers in the real estate sector.

Utilizing advanced AI-driven validation, our data is continuously updated to maintain 99% accuracy, offering actionable insights that empower targeted marketing, streamlined sales strategies, and efficient recruitment efforts. Whether you’re engaging with top real estate executives or sourcing local property experts, Success.ai provides reliable and compliant data tailored to your needs.

Key Features of Success.ai’s Real Estate Professional Contact Data

• Comprehensive Industry Coverage Gain direct access to verified profiles of real estate professionals across the globe, including:

1. Real Estate Agents: Professionals facilitating property sales and purchases.
2. Brokers: Key intermediaries managing transactions between buyers and sellers.
3. Property Developers: Decision-makers shaping residential, commercial, and industrial projects.
4. Real Estate Executives: Leaders overseeing multi-regional operations and business strategies.
5. Architects & Consultants: Experts driving design and project feasibility.

• Verified and Continuously Updated Data

AI-Powered Validation: All profiles are verified using cutting-edge AI to ensure up-to-date accuracy. Real-Time Updates: Our database is refreshed continuously to reflect the most current information. Global Compliance: Fully aligned with GDPR, CCPA, and other regional regulations for ethical data use.

• Customizable Data Delivery Tailor your data access to align with your operational goals:

API Integration: Directly integrate data into your CRM or project management systems for seamless workflows. Custom Flat Files: Receive detailed datasets customized to your specifications, ready for immediate application.

Why Choose Success.ai for Real Estate Contact Data?

• Best Price Guarantee Enjoy competitive pricing that delivers exceptional value for verified, comprehensive contact data.

• Precision Targeting for Real Estate Professionals Our dataset equips you to connect directly with real estate decision-makers, minimizing misdirected efforts and improving ROI.

• Strategic Use Cases

  Lead Generation: Target qualified real estate agents and brokers to expand your network. Sales Outreach: Engage with property developers and executives to close high-value deals. Marketing Campaigns: Drive targeted campaigns tailored to real estate markets and demographics. Recruitment: Identify and attract top talent in real estate for your growing team. Market Research: Access firmographic and demographic data for in-depth industry analysis.

• Data Highlights 170M+ Verified Professional Profiles 50M Work Emails 30M Company Profiles 700M Global Professional Profiles

• Powerful APIs for Enhanced Functionality

  Enrichment API Ensure your contact database remains relevant and up-to-date with real-time enrichment. Ideal for businesses seeking to maintain competitive agility in dynamic markets.

Lead Generation API Boost your lead generation with verified contact details for real estate professionals, supporting up to 860,000 API calls per day for robust scalability.

• Use Cases for Real Estate Contact Data

1. Targeted Outreach for New Projects Connect with property developers and brokers to pitch your services or collaborate on upcoming projects.

2. Real Estate Marketing Campaigns Execute personalized marketing campaigns targeting agents and clients in residential, commercial, or industrial sectors.

3. Enhanced Sales Strategies Shorten sales cycles by directly engaging with decision-makers and key stakeholders.

4. Recruitment and Talent Acquisition Access profiles of highly skilled professionals to strengthen your real estate team.

5. Market Analysis and Intelligence Leverage firmographic and demographic insights to identify trends and optimize business strategies.

• What Makes Us Stand Out? >> Unmatched Data Accuracy: Our AI-driven validation ensures 99% accuracy for all contact details. >> Comprehensive Global Reach: Covering professionals across diverse real estate markets worldwide. >> Flexible Delivery Options: Access data in formats that seamlessly fit your existing systems. >> Ethical and Compliant Data Practices: Adherence to global standards for secure and responsible data use.

Success.ai’s B2B Contact Data for Global Real Estate Professionals delivers the tools you need to connect with the right people at the right time, driving efficiency and success in your business operations. From agents and brokers to property developers and executiv...

Real estate ads in Russia are published on the websites avito.ru, realty.yandex.ru, cian.ru, sob.ru, youla.ru, n1.ru, moyareklama.ru. The ads-api.ru service allows you to upload real estate ads for a fee. The parser of the service works strangely and duplicates real estate ads in the database if the authors extended them after some time. Also in the Russian market there are a lot of outbids (bad realtors) who steal ads and publish them on their own behalf. Before publishing this dataset, my task was to select the original ad from a bunch of ads. Russian real estate services allow ad authors to manually write data about an apartment or house. Therefore, it often happens that a user can publish an ad with errors or typos. Also, the user may not know, for example, the type of walls near his house. The user also specifies the address of the object being sold. He may make a mistake and simply indicate the address, for example, "Moscow". Which street? Which house? We will never know.

Dataset

The real estate market in Russia is of two types, in the dataset it is used as object type 0 - Secondary real estate market; 2 - New building. I found it necessary to determine the geolocation for each ad address and add the coordinates to this dataset. Also there is a number of the region of Russia. For example, the number of the Chuvash region is 21. Additionally, there is a house number that is synchronized through the federal public database of the Federal Tax Service "FIAS". Since the data is obtained through a paid third party service, I cannot publish the results, however, I can anonymize them and publish parameters such as Street ID and House ID. Basically, all houses are built from blocks such as brick, wood, panel and others. I marked them with numbers: building type - 0 - Don't know. 1 - Other. 2 - panel. 3 - Monolithic. 4 - Brick. 5 - blocky. 6- Wooden

The number of rooms can also be as 1, 2 or more. However, there is a type of apartment that is called a studio apartment. I've labeled them "-1".

Ideas

I hope that the publication of this dataset will improve developments in the field of global real estate. You can create apartment price forecasts. You can analyze real estate markets. You can understand that there is a need to publish free real estate datasets. And much more

Others

The license for this dataset is public, you can use it in your scientific research, design work and other works. The only condition is the publication of a link to this dataset. You can send suggestions (or complaints) on the dataset by mail daniilakk@gmail.com

In the past years we have collected a lot of Real Estate Data. For example: Transactions, Enery labels, Listings, Realtors, Brokers etcetera. We provide our clients with datasets, but it's also possible to receive our data via an API (Application Programming Interface). We update this data frequently.

Real Estate Email List is a premium mailing database for your needs. Most importantly, the list is the most popular site in the world. It is the largest data provider. Besides, the list is verified by human checks and automated software. You get new connections instantly. In addition, our expert team builds a qualified email list and checks the accuracy levels from millions of sources. The list is 95% accurate for giving the best results. Moreover, the dataset provides authentic service. This service can help you grow your business in a short time. Also, the leads link is ready for instant download. Furthermore, we give weekly updates and a bounce-back guarantee with Excel and CSV files. The leads give more information about your services. If you want a specific real estate email list, tell us. We make it for you properly. We provide new data for free to replace missing data.

Real Estate Email List provides a free sample for marketing campaigns. You can create any custom order with your desired areas. The leads ensure that you never get inactive email data. After visiting our website, List to Data, contact us. You can purchase this email list to make your business more competitive. The dataset is profitable. In conclusion, you can get instant results for your products and services. Real Estate Email Database gives you verified and updated contact details. Also, it helps you connect with property owners, agents, and investors directly. In fact, this dataset includes names, phone numbers, email addresses, and postal details. Therefore, you can reach the right people in the real estate market quickly. So, you get high-quality leads that can help you grow your business. Likewise, it covers both residential and commercial real estate sectors. As a result, you can target your audience more effectively. Real Estate Email Database is fresh and regularly updated. This way, your campaigns always reach active contacts. Also, the affordable price makes it suitable for businesses of any size.

Therefore, you can boost sales without spending too much. Furthermore, this Email database supports various marketing goals. For example, you can promote property listings, offer investment deals, or build long-term client relationships. Finally, choose our database to enjoy better leads, higher ROI, and steady business growth.

About this Dataset

Contains the contact information of commerical realtors around the world. A sample listing is also included for each realtor. All information was verified on 11/18/17. Whether for web or app develoment, marketing lists, or identifying the competition, this a hard to come by contact lists. The lists was developed by hiring freelancers on UpWork and then verified with an email campaign. We stand by our lists and will replace any bounced emails for free!

Category

Lead Generation

Keywords

realestate,realtors,commercial,global,contact

Row Count

1142

Price

$99.99

Have been tracking the thailand housing market for a few years, in the last couple of years, for sale properties have been steadily increasing between 2020 and late 2021; coming into 2022, the housiing market seems went down in temrs of property listings, https://barkingdata.com/static/upload/image/20220423/1650710255930743.png" alt="listings trend">

The attached dataset is generated via AI based public daa mining technology. Researchers can use this dataset to do various analysis because the number of fields of this dataset includes a lot of housing attributes such as property type, pricing, zipcode, living space size, bedrooms, bathrooms, city, state, lat/lng, home created date, land space, agent name, agent info, funished, premium type etc.. We specialize in web mining and web data harvesting from the world wide web (including mobile apps), we have built 5000+ datasets for researchers, analysts, scholars , retailers, ... Learn more from https://www.barkingdata.com

United States PPI: Svcs: Real Estate Agents & Brokers Offices (RE) data was reported at 196.252 Dec2003=100 in Mar 2025. This records an increase from the previous number of 196.147 Dec2003=100 for Feb 2025. United States PPI: Svcs: Real Estate Agents & Brokers Offices (RE) data is updated monthly, averaging 113.850 Dec2003=100 from Dec 2003 (Median) to Mar 2025, with 256 observations. The data reached an all-time high of 196.664 Dec2003=100 in Sep 2024 and a record low of 97.500 Dec2003=100 in Nov 2011. United States PPI: Svcs: Real Estate Agents & Brokers Offices (RE) data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.I104: Producer Price Index: by Industry: Services: Real Estate and Rental Leasing.

The global Estate Agent Fees market is projected to reach an impressive market size of approximately $250,000 million by 2025, exhibiting a robust Compound Annual Growth Rate (CAGR) of around 7.5% through 2033. This substantial growth is fueled by a confluence of powerful drivers, including the increasing urbanization rates worldwide, a burgeoning middle class with enhanced purchasing power, and a continuous surge in both residential and commercial real estate transactions. The digital transformation within the real estate sector is also playing a pivotal role, with online platforms and proptech solutions streamlining the buying and selling process, thereby increasing efficiency and accessibility for a wider demographic. Furthermore, favorable government policies aimed at promoting homeownership and facilitating investment in real estate continue to bolster market expansion. Despite the optimistic outlook, the Estate Agent Fees market faces certain restraints. Escalating commission rates in some regions and the growing preference for do-it-yourself (DIY) selling platforms, which bypass traditional agents altogether, pose significant challenges. However, the inherent value proposition of experienced agents, particularly in complex transactions and for high-value properties, coupled with their expertise in local market dynamics and negotiation skills, continues to anchor their relevance. The market is segmented by application into Residential Real Estate, commanding the larger share due to its higher volume of transactions, and Commercial Real Estate, which offers substantial fee potential per deal. By type, Buyer Charges and Seller Charges represent the primary revenue streams for estate agents, with the balance often influenced by regional market norms and negotiation outcomes. Geographically, North America and Europe currently dominate the market, but the Asia Pacific region, driven by rapid economic development and a young, growing population, is anticipated to witness the most dynamic growth in the coming years. Here is a unique report description on Estate Agent Fees, incorporating your specified elements:

This in-depth report offers a granular analysis of the global Estate Agent Fees market, meticulously dissecting its present landscape and projecting its trajectory through 2033. Our study leverages a comprehensive dataset spanning the historical period of 2019-2024, with a base year of 2025 and a detailed forecast period extending from 2025-2033. We delve into the intricate fee structures, market concentrations, and transformative trends shaping the real estate brokerage industry, with a particular focus on transactions potentially reaching the multi-million unit value.

Existing Home Sales in the United States increased to 4100 Thousand in October from 4050 Thousand in September of 2025. This dataset provides the latest reported value for - United States Existing Home Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Business-critical Data Types We offer access to robust datasets sourced from over 13M job ads daily. Track companies’ growth, market focus, technological shifts, planned geographic expansion, and more: - Identify new business opportunities - Identify and forecast industry & technological trends - Help identify the jobs, teams, and business units that have the highest impact on corporate goals - Identify most in-demand skills and qualifications for key positions.

Fresh Datasets We regularly update our datasets, assuring you access to the latest data and allowing for timely analysis of rapidly evolving markets & dynamic businesses.

Historical Datasets We maintain at your disposal historical datasets, allowing for comprehensive, reliable, and statistically sound historical analysis, trend identification, and forecasting.

Easy Access and Retrieval Our job listing datasets are available in industry-standard, convenient JSON and CSV formats. These structured formats make our datasets compatible with machine learning, artificial intelligence training, and similar applications. The historical data retrieval process is quick and reliable thanks to our robust, easy-to-implement API integration.

Datasets for investors Investment firms and hedge funds use our datasets to better inform their investment decisions by gaining up-to-date, reliable insights into workforce growth, geographic expansion, market focus, technology shifts, and other factors of start-ups and established companies.

Datasets for businesses Our datasets are used by retailers, manufacturers, real estate agents, and many other types of B2B & B2C businesses to stay ahead of the curve. They can gain insights into the competitive landscape, technology, and product adoption trends as well as power their lead generation processes with data-driven decision-making.

Intagible-Assets Time Series for Scout24 AG. Scout24 SE operates ImmoScout24, a digital platform for the residential and commercial real estate sectors in Germany and internationally. The company operates through Professional and Private segments. It offers Pay-per-ad, a placement of property listings, and Realtor Lead Engine (RLE) for selling real estate; Mortgage Lead Engine; CRM software solutions for real estate agents; and ESG energy performance certificates. In addition, the company provides software solutions for real estate valuations, such as viewings and appraisals services; an automated valuation model, a product for the automated valuation of real estate through application programming interfaces; provision of transaction-related documents for real estate professionals; and training courses, digital training, and education software. Further, it offers TenantPlus and BuyerPlus, which offers opportunity analysis and a digital document folder; LivingPlus for tenant protection coverage and support; and LettingPlus, a cloud-based software solution to supports private landlords in rental and property management. It offers its products under the ImmoScout24, FLOWFACT, Vermietet.de, immoverkauf24, Propstack, BaufiTeam, SPRENGNETTER, Wohnungsboerse, bulwiengesa, EXPLOREAL, neubau kompass, and ENERGIE AUSWEIS 48 brands. The company serves residential and business real estate agents, appraisers, financing intermediaries and banks, consumers, homeowners, advertisers, and commercial service providers. The company was formerly known as Scout24 AG and changed its name to Scout24 SE in October 2021. Scout24 SE was founded in 1998 and is based in Berlin, Germany.

Accounts-Payable Time Series for Scout24 AG. Scout24 SE operates ImmoScout24, a digital platform for the residential and commercial real estate sectors in Germany and internationally. The company operates through Professional and Private segments. It offers Pay-per-ad, a placement of property listings, and Realtor Lead Engine (RLE) for selling real estate; Mortgage Lead Engine; CRM software solutions for real estate agents; and ESG energy performance certificates. In addition, the company provides software solutions for real estate valuations, such as viewings and appraisals services; an automated valuation model, a product for the automated valuation of real estate through application programming interfaces; provision of transaction-related documents for real estate professionals; and training courses, digital training, and education software. Further, it offers TenantPlus and BuyerPlus, which offers opportunity analysis and a digital document folder; LivingPlus for tenant protection coverage and support; and LettingPlus, a cloud-based software solution to supports private landlords in rental and property management. It offers its products under the ImmoScout24, FLOWFACT, Vermietet.de, immoverkauf24, Propstack, BaufiTeam, SPRENGNETTER, Wohnungsboerse, bulwiengesa, EXPLOREAL, neubau kompass, and ENERGIE AUSWEIS 48 brands. The company serves residential and business real estate agents, appraisers, financing intermediaries and banks, consumers, homeowners, advertisers, and commercial service providers. The company was formerly known as Scout24 AG and changed its name to Scout24 SE in October 2021. Scout24 SE was founded in 1998 and is based in Berlin, Germany.

Context

There's a story behind every dataset and here's your opportunity to share yours.

ACTIVITIES

Follow the process below to develop a model that can be used by real estate companies and real estate agents to predict the price of a house.

1. Business Understanding -Conduct a literature review to understand the factors that determine the price of houses globally and locally. -Based on the dataset provided, formulate a business question to be answered through the analysis.

2. Data Understanding -The data in the dataset provided was collected through webs scrapping. Conduct further reading to understand the process of web scrapping, how it is conducted (methods and tools) and any ethical challenges related to it.

3. Data Preparation -Conduct a detailed exploratory analysis on the dataset. -Prepare the dataset for modeling -Identify the technique relevant for answering the business question stated above. -Ensure that the dataset meets all the assumptions of the technique identified. -Conduct preliminary feature selection by identifying the set of features that are likely to provide a model with good performance.

4. Modeling -Split the dataset into two; training set and validation set. With justifications, decide on the ratio of the training set to the validation set. -Generate the required model

5. Evaluation -Interpret the model in terms of its goodness of fit in predicting the price of houses. -Assume that the model is not good enough and then conduct further feature engineering or use any other model tuning strategies at your disposal to generate additional two instances of the model. -Settle on the best model instance and then re-interpret.

6. Implementation -Think of how the model can be implemented and used by real estate firms and agents. -Identify possible challenges of applying the model. -Recommendations on how the model can be improved in future

Total Housing Inventory in the United States decreased to 1520 Thousands in October from 1530 Thousands in September of 2025. This dataset includes a chart with historical data for the United States Total Housing Inventory.

Global short-term rental intelligence sourced from leading Online Travel Agencies (OTAs). The OTA Real Estate Dataset provides a comprehensive view of the global vacation rental market by combining verified OTA property listings with valuation, tax, and physical asset data. Each record includes unique property identifiers, geolocation details, pricing indicators, and occupancy metrics—enabling robust market analysis and investment-grade insights.

Continuously sourced from major OTA platforms and refined through proprietary data-cleaning models, this dataset ensures accuracy, consistency, and comparability across regions. Available globally with flexible delivery via API or flat files, it serves as a foundational dataset for those analyzing market performance, forecasting development potential, or conducting housing research.

Key Highlights: Granular Real Estate Intelligence: Combines OTA listing data with valuation, tax, and property attributes for a holistic view of market activity.

Global and Standardized: Harmonized schema and coverage across countries, cities, and neighborhoods for cross-market comparability.

High-Fidelity Data: Proprietary normalization removes duplicates and outliers to ensure analytical precision.

Flexible Access: Delivered through API or CSV, updated regularly for timely decision-making.

Ideal For: Real Estate Investors: Identify high-performing short-term rental markets and assess yield potential.

Developers & Urban Planners: Evaluate spatial demand patterns and inform development feasibility studies.

Financial Institutions: Integrate standardized OTA data into underwriting, risk, and valuation models.

Tourism Economists & Market Researchers: Quantify the impact of vacation rentals on local housing and tourism dynamics.

Use It To: Benchmark short-term rental performance by region or property type.

Analyze shifts in rental demand and pricing over time.

Support market-entry, site-selection, and feasibility studies with real OTA-backed data.

Enhance research and policy analysis with consistent, globally comparable property-level insights.

Stock Price Time Series for Re Max Holding. RE/MAX Holdings, Inc. operates as a franchisor of real estate brokerage services in the United States, Canada, and internationally. The company operates through three segments: Real Estate, Mortgage, and Marketing Funds. It offers real estate brokerage franchising services under the RE/MAX brand name; mortgage brokerage services to real estate brokers, real estate professionals, mortgage professionals, and other investors under the Motto Mortgage brand name; and mortgage loan processing software and services under the wemlo brand name. The company also provides BoldTrail platform, which integrates a suite of digital products that enables agents, brokers, and teams to establish, manage, and grow client relationships; and RE/MAX University platform, a learning hub designed to help each agent in their professional expertise. The company was founded in 1973 and is headquartered in Denver, Colorado.

United States Existing Home Sales: US data was reported at 420,000.000 Unit in Sep 2018. This records a decrease from the previous number of 539,000.000 Unit for Aug 2018. United States Existing Home Sales: US data is updated monthly, averaging 436,000.000 Unit from Jan 1999 (Median) to Sep 2018, with 237 observations. The data reached an all-time high of 753,000.000 Unit in Jun 2005 and a record low of 218,000.000 Unit in Jan 2009. United States Existing Home Sales: US data remains active status in CEIC and is reported by National Association of Realtors. The data is categorized under Global Database’s USA – Table US.EB005: Existing Home Sales.

Depreciation Time Series for Scout24 AG. Scout24 SE operates ImmoScout24, a digital platform for the residential and commercial real estate sectors in Germany and internationally. The company operates through Professional and Private segments. It offers Pay-per-ad, a placement of property listings, and Realtor Lead Engine (RLE) for selling real estate; Mortgage Lead Engine; CRM software solutions for real estate agents; and ESG energy performance certificates. In addition, the company provides software solutions for real estate valuations, such as viewings and appraisals services; an automated valuation model, a product for the automated valuation of real estate through application programming interfaces; provision of transaction-related documents for real estate professionals; and training courses, digital training, and education software. Further, it offers TenantPlus and BuyerPlus, which offers opportunity analysis and a digital document folder; LivingPlus for tenant protection coverage and support; and LettingPlus, a cloud-based software solution to supports private landlords in rental and property management. It offers its products under the ImmoScout24, FLOWFACT, Vermietet.de, immoverkauf24, Propstack, BaufiTeam, SPRENGNETTER, Wohnungsboerse, bulwiengesa, EXPLOREAL, neubau kompass, and ENERGIE AUSWEIS 48 brands. The company serves residential and business real estate agents, appraisers, financing intermediaries and banks, consumers, homeowners, advertisers, and commercial service providers. The company was formerly known as Scout24 AG and changed its name to Scout24 SE in October 2021. Scout24 SE was founded in 1998 and is based in Berlin, Germany.

Property-Plant-and-Equipment-Net Time Series for Scout24 AG. Scout24 SE operates ImmoScout24, a digital platform for the residential and commercial real estate sectors in Germany and internationally. The company operates through Professional and Private segments. It offers Pay-per-ad, a placement of property listings, and Realtor Lead Engine (RLE) for selling real estate; Mortgage Lead Engine; CRM software solutions for real estate agents; and ESG energy performance certificates. In addition, the company provides software solutions for real estate valuations, such as viewings and appraisals services; an automated valuation model, a product for the automated valuation of real estate through application programming interfaces; provision of transaction-related documents for real estate professionals; and training courses, digital training, and education software. Further, it offers TenantPlus and BuyerPlus, which offers opportunity analysis and a digital document folder; LivingPlus for tenant protection coverage and support; and LettingPlus, a cloud-based software solution to supports private landlords in rental and property management. It offers its products under the ImmoScout24, FLOWFACT, Vermietet.de, immoverkauf24, Propstack, BaufiTeam, SPRENGNETTER, Wohnungsboerse, bulwiengesa, EXPLOREAL, neubau kompass, and ENERGIE AUSWEIS 48 brands. The company serves residential and business real estate agents, appraisers, financing intermediaries and banks, consumers, homeowners, advertisers, and commercial service providers. The company was formerly known as Scout24 AG and changed its name to Scout24 SE in October 2021. Scout24 SE was founded in 1998 and is based in Berlin, Germany.

Retained-Earnings Time Series for Scout24 AG. Scout24 SE operates ImmoScout24, a digital platform for the residential and commercial real estate sectors in Germany and internationally. The company operates through Professional and Private segments. It offers Pay-per-ad, a placement of property listings, and Realtor Lead Engine (RLE) for selling real estate; Mortgage Lead Engine; CRM software solutions for real estate agents; and ESG energy performance certificates. In addition, the company provides software solutions for real estate valuations, such as viewings and appraisals services; an automated valuation model, a product for the automated valuation of real estate through application programming interfaces; provision of transaction-related documents for real estate professionals; and training courses, digital training, and education software. Further, it offers TenantPlus and BuyerPlus, which offers opportunity analysis and a digital document folder; LivingPlus for tenant protection coverage and support; and LettingPlus, a cloud-based software solution to supports private landlords in rental and property management. It offers its products under the ImmoScout24, FLOWFACT, Vermietet.de, immoverkauf24, Propstack, BaufiTeam, SPRENGNETTER, Wohnungsboerse, bulwiengesa, EXPLOREAL, neubau kompass, and ENERGIE AUSWEIS 48 brands. The company serves residential and business real estate agents, appraisers, financing intermediaries and banks, consumers, homeowners, advertisers, and commercial service providers. The company was formerly known as Scout24 AG and changed its name to Scout24 SE in October 2021. Scout24 SE was founded in 1998 and is based in Berlin, Germany.