100+ datasets found
  1. Commercial Real Estate Data | Global Real Estate Professionals | Work...

    • datarade.ai
    Updated Oct 27, 2021
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    Success.ai (2021). Commercial Real Estate Data | Global Real Estate Professionals | Work Emails, Phone Numbers & Verified Profiles | Best Price Guaranteed [Dataset]. https://datarade.ai/data-products/commercial-real-estate-data-global-real-estate-professional-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Oct 27, 2021
    Dataset provided by
    Area covered
    Sierra Leone, Burkina Faso, Comoros, Bolivia (Plurinational State of), Hong Kong, Guatemala, Netherlands, Marshall Islands, El Salvador, Korea (Republic of)
    Description

    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...

  2. Equity value of leading real estate data and software companies in the U.S....

    • statista.com
    Updated Dec 12, 2023
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    Statista (2023). Equity value of leading real estate data and software companies in the U.S. Q2 2022 [Dataset]. https://www.statista.com/statistics/1333427/equity-value-real-estate-data-software-companies-usa/
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    Dataset updated
    Dec 12, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Black Knight, Inc. was the real estate data and software company with the highest equity value in the United States as of the second quarter of 2022. At almost 10 billion U.S. dollars, the equity value of Black Knight was almost three times that of the third company in the ranking - AppFolio, Inc. Black Knight is an provider of integrated software, data, and analytics solutions.

  3. d

    Home Ownership Data | USA Coverage | 74% Right Party Contact Rate |...

    • datarade.ai
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    BatchService, Home Ownership Data | USA Coverage | 74% Right Party Contact Rate | BatchData [Dataset]. https://datarade.ai/data-products/batchservice-home-ownership-data-us-87-million-property-o-batchservice
    Explore at:
    .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset authored and provided by
    BatchService
    Area covered
    United States of America
    Description

    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.

  4. p

    Real Estate Developers in United States - 28,821 Verified Listings Database

    • poidata.io
    csv, excel, json
    Updated Jun 15, 2025
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    Poidata.io (2025). Real Estate Developers in United States - 28,821 Verified Listings Database [Dataset]. https://www.poidata.io/report/real-estate-developer/united-states
    Explore at:
    csv, excel, jsonAvailable download formats
    Dataset updated
    Jun 15, 2025
    Dataset provided by
    Poidata.io
    Area covered
    United States
    Description

    Comprehensive dataset of 28,821 Real estate developers in United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  5. p

    Real Estate Agencies in United States - 223,924 Verified Listings Database

    • poidata.io
    csv, excel, json
    Updated Jul 13, 2025
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    Poidata.io (2025). Real Estate Agencies in United States - 223,924 Verified Listings Database [Dataset]. https://www.poidata.io/report/real-estate-agency/united-states
    Explore at:
    csv, json, excelAvailable download formats
    Dataset updated
    Jul 13, 2025
    Dataset provided by
    Poidata.io
    Area covered
    United States
    Description

    Comprehensive dataset of 223,924 Real estate agencies in United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  6. d

    Doorda UK Commercial Real Estate Data | Property Data | 6M+ Locations from...

    • datarade.ai
    .csv
    Updated May 10, 2024
    + more versions
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    Doorda (2024). Doorda UK Commercial Real Estate Data | Property Data | 6M+ Locations from 320 Data Sources | Business Intelligence and Analytics [Dataset]. https://datarade.ai/data-products/doorda-uk-commercial-real-estate-property-data-6m-location-doorda
    Explore at:
    .csvAvailable download formats
    Dataset updated
    May 10, 2024
    Dataset authored and provided by
    Doorda
    Area covered
    United Kingdom
    Description

    Doorda's UK Commercial Real Estate Data provides a comprehensive database of over 6 million commercial locations sourced from 20 data sources, offering unparalleled insights for business intelligence and analytics purposes.

    Volume and stats: - 6M Commercial locations with internals - 1.7M Named Commercial Occupants - 1.4M Non-Domestic Energy Performance Inspections

    Our Commercial Real Estate Data offers a multitude of use cases: - Market Analysis - Competitor Analysis - Lead Generation - Risk Management - Location Planning

    The key benefits of leveraging our Commercial Real Estate Property Data include: - Data Accuracy - Informed Decision-Making - Competitive Advantage - Efficiency - Single Source

    Covering a wide range of industries and sectors, our data empowers organisations to make informed decisions, uncover market trends, and gain a competitive edge in the UK market.

  7. F

    Total Real Estate Loans Owned and Securitized by Finance Companies, Level

    • fred.stlouisfed.org
    json
    Updated Jun 20, 2025
    + more versions
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    (2025). Total Real Estate Loans Owned and Securitized by Finance Companies, Level [Dataset]. https://fred.stlouisfed.org/series/DTRTNM
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 20, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Total Real Estate Loans Owned and Securitized by Finance Companies, Level (DTRTNM) from Jun 1970 to Apr 2025 about securitized, owned, finance companies, companies, finance, real estate, financial, loans, and USA.

  8. ScrapeHero Data Cloud - Free and Easy to use

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

    The Easiest Way to Collect Data from the Internet Download anything you see on the internet into spreadsheets within a few clicks using our ready-made web crawlers or a few lines of code using our APIs

    We have made it as simple as possible to collect data from websites

    Easy to Use Crawlers Amazon Product Details and Pricing Scraper Amazon Product Details and Pricing Scraper Get product information, pricing, FBA, best seller rank, and much more from Amazon.

    Google Maps Search Results Google Maps Search Results Get details like place name, phone number, address, website, ratings, and open hours from Google Maps or Google Places search results.

    Twitter Scraper Twitter Scraper Get tweets, Twitter handle, content, number of replies, number of retweets, and more. All you need to provide is a URL to a profile, hashtag, or an advance search URL from Twitter.

    Amazon Product Reviews and Ratings Amazon Product Reviews and Ratings Get customer reviews for any product on Amazon and get details like product name, brand, reviews and ratings, and more from Amazon.

    Google Reviews Scraper Google Reviews Scraper Scrape Google reviews and get details like business or location name, address, review, ratings, and more for business and places.

    Walmart Product Details & Pricing Walmart Product Details & Pricing Get the product name, pricing, number of ratings, reviews, product images, URL other product-related data from Walmart.

    Amazon Search Results Scraper Amazon Search Results Scraper Get product search rank, pricing, availability, best seller rank, and much more from Amazon.

    Amazon Best Sellers Amazon Best Sellers Get the bestseller rank, product name, pricing, number of ratings, rating, product images, and more from any Amazon Bestseller List.

    Google Search Scraper Google Search Scraper Scrape Google search results and get details like search rank, paid and organic results, knowledge graph, related search results, and more.

    Walmart Product Reviews & Ratings Walmart Product Reviews & Ratings Get customer reviews for any product on Walmart.com and get details like product name, brand, reviews, and ratings.

    Scrape Emails and Contact Details Scrape Emails and Contact Details Get emails, addresses, contact numbers, social media links from any website.

    Walmart Search Results Scraper Walmart Search Results Scraper Get Product details such as pricing, availability, reviews, ratings, and more from Walmart search results and categories.

    Glassdoor Job Listings Glassdoor Job Listings Scrape job details such as job title, salary, job description, location, company name, number of reviews, and ratings from Glassdoor.

    Indeed Job Listings Indeed Job Listings Scrape job details such as job title, salary, job description, location, company name, number of reviews, and ratings from Indeed.

    LinkedIn Jobs Scraper Premium LinkedIn Jobs Scraper Scrape job listings on LinkedIn and extract job details such as job title, job description, location, company name, number of reviews, and more.

    Redfin Scraper Premium Redfin Scraper Scrape real estate listings from Redfin. Extract property details such as address, price, mortgage, redfin estimate, broker name and more.

    Yelp Business Details Scraper Yelp Business Details Scraper Scrape business details from Yelp such as phone number, address, website, and more from Yelp search and business details page.

    Zillow Scraper Premium Zillow Scraper Scrape real estate listings from Zillow. Extract property details such as address, price, Broker, broker name and more.

    Amazon product offers and third party sellers Amazon product offers and third party sellers Get product pricing, delivery details, FBA, seller details, and much more from the Amazon offer listing page.

    Realtor Scraper Premium Realtor Scraper Scrape real estate listings from Realtor.com. Extract property details such as Address, Price, Area, Broker and more.

    Target Product Details & Pricing Target Product Details & Pricing Get product details from search results and category pages such as pricing, availability, rating, reviews, and 20+ data points from Target.

    Trulia Scraper Premium Trulia Scraper Scrape real estate listings from Trulia. Extract property details such as Address, Price, Area, Mortgage and more.

    Amazon Customer FAQs Amazon Customer FAQs Get FAQs for any product on Amazon and get details like the question, answer, answered user name, and more.

    Yellow Pages Scraper Yellow Pages Scraper Get details like business name, phone number, address, website, ratings, and more from Yellow Pages search results.

  9. f

    Yoursouthtampahome.com | Properties Data | Real Estate Data

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

    Yoursouthtampahome.com is a real estate company specializing in property listings and information for the South Tampa area. With a focus on providing detailed and up-to-date data, the company aims to help individuals and families find their dream homes. Their website is a valuable resource for anyone looking to buy, sell, or rent a property in South Tampa, offering a comprehensive view of the local real estate market.

    Yoursouthtampahome.com is a trusted source of information for property seekers, with a vast database of listings, sales data, and market trends. By providing easy access to this critical information, the company helps individuals make informed decisions in their home buying or selling journey.

  10. Commercial Real Estate Data | Commercial Real Estate Professionals in Europe...

    • data.success.ai
    Updated Jan 1, 2018
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    Success.ai (2018). Commercial Real Estate Data | Commercial Real Estate Professionals in Europe | Verified Global Profiles from 700M+ Dataset | Best Price Guarantee [Dataset]. https://data.success.ai/products/commercial-real-estate-data-commercial-real-estate-professi-success-ai
    Explore at:
    Dataset updated
    Jan 1, 2018
    Dataset provided by
    Area covered
    Gibraltar, Ireland, Poland, Isle of Man, Switzerland, Austria, Latvia, Germany, France, Iceland, Europe
    Description

    Access Commercial Real Estate data for Europe’s top commercial real estate professionals with Success.ai. Verified profiles include decision-maker insights, firmographic details, and contact data from 70M+ businesses. Best price guaranteed.

  11. China CN: Listed Company: ROE: Real Estate

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). China CN: Listed Company: ROE: Real Estate [Dataset]. https://www.ceicdata.com/en/china/financial-data-of-listed-company-return-on-equity-roe/cn-listed-company-roe-real-estate
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2012 - Dec 1, 2023
    Area covered
    China
    Variables measured
    Enterprises Survey
    Description

    China Listed Company: ROE: Real Estate data was reported at -0.449 % in 2023. This records an increase from the previous number of -4.445 % for 2022. China Listed Company: ROE: Real Estate data is updated yearly, averaging 10.993 % from Dec 2001 (Median) to 2023, with 22 observations. The data reached an all-time high of 14.703 % in 2013 and a record low of -4.445 % in 2022. China Listed Company: ROE: Real Estate data remains active status in CEIC and is reported by China Securities Regulatory Commission. The data is categorized under China Premium Database’s Business and Economic Survey – Table CN.OZ: Financial Data of Listed Company: Return on Equity (ROE).

  12. China CN: Real Estate: Profit from Other Business

    • ceicdata.com
    Updated Dec 15, 2020
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    CEICdata.com (2020). China CN: Real Estate: Profit from Other Business [Dataset]. https://www.ceicdata.com/en/china/real-estate-enterprise-all/cn-real-estate-profit-from-other-business
    Explore at:
    Dataset updated
    Dec 15, 2020
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2007 - Dec 1, 2017
    Area covered
    China
    Variables measured
    Real Estate Investment
    Description

    China Real Estate: Profit from Other Business data was reported at 16,848.290 RMB mn in 2017. This records a decrease from the previous number of 19,420.950 RMB mn for 2016. China Real Estate: Profit from Other Business data is updated yearly, averaging 20,272.050 RMB mn from Dec 2007 (Median) to 2017, with 11 observations. The data reached an all-time high of 36,917.000 RMB mn in 2013 and a record low of 15,700.630 RMB mn in 2007. China Real Estate: Profit from Other Business 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.

  13. US Real Estate Property Management Software Market Analysis, Size, and...

    • technavio.com
    Updated Apr 15, 2025
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    Technavio (2025). US Real Estate Property Management Software Market Analysis, Size, and Forecast 2025-2029 [Dataset]. https://www.technavio.com/report/us-real-estate-property-management-software-market-industry-analysis
    Explore at:
    Dataset updated
    Apr 15, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    United States
    Description

    Snapshot img

    US Real Estate Property Management Software Market Size 2025-2029

    The us real estate property management software market size is forecast to increase by USD 447.3 million, at a CAGR of 6.1% between 2024 and 2029.

    The Real Estate Property Management Software Market in the US is experiencing significant growth, driven by the increasing emphasis on customer-centric business processes. Property management companies are recognizing the value of streamlined operations and enhanced tenant experiences, leading to a surge in demand for advanced software solutions. Moreover, the adoption of big data analytics is transforming the industry, enabling data-driven decision-making and improved operational efficiency. However, the market faces challenges as well. The threat of open-source real estate property management software is growing, with some organizations opting for cost-effective alternatives. This trend could put pressure on established players to innovate and differentiate their offerings, ensuring they maintain a competitive edge. To capitalize on opportunities and navigate challenges effectively, companies must focus on delivering superior customer service, leveraging data insights, and continuously improving their technology offerings.

    What will be the size of the US Real Estate Property Management Software Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
    Request Free Sample

    The real estate property management market in the US is witnessing significant advancements, driven by the integration of smart home technologies and data backup solutions. Energy efficiency is a top priority, with regulatory compliance and property insurance companies encouraging the adoption of green building standards and sustainability certifications. Tenant screening services are utilizing background checks, credit history reports, and biometric authentication for thorough vetting processes. Artificial intelligence (AI) and machine learning are revolutionizing property management through predictive analytics, workflow optimization, and eviction prevention. Virtual tours and 3D modeling enable remote property inspections, while data visualization tools provide valuable insights for property investment analysis. Cloud security and mobile device management are essential for secure data access and management. Property risk management is a growing concern, with disaster recovery plans and property liability insurance playing crucial roles. Property management training and lease negotiation strategies are also key components in maintaining tenant retention. In summary, the US real estate property management market is undergoing a digital transformation, focusing on energy efficiency, regulatory compliance, tenant screening, and advanced technologies such as AI, data visualization, and predictive analytics. These trends are shaping the future of property management, offering increased efficiency, security, and profitability for businesses.

    How is this market segmented?

    The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. TypeIntegrated softwareStandalone softwareDeploymentCloud basedOn premisesApplicationResidentialCommercialIndustrialSectorLarge enterpriseSMEsIndividualsGeographyNorth AmericaUS

    By Type Insights

    The integrated software segment is estimated to witness significant growth during the forecast period.

    Real estate property management software in the US integrates various applications to streamline operations for single-family homes, vacation rentals, student housing, and commercial properties. This software includes property marketing automation for tenant communication and listing platforms, occupancy management for rent collection and lease management, property accounting for financial reporting and automated payment processing, and property data analytics for value optimization and market trends. Compliance management ensures legal requirements, while property inspections and maintenance management maintain property conditions. API integration enables tenant screening and property investor collaboration. Cloud-based platforms offer accessibility and data security. Property portfolio management facilitates multifamily housing and building automation for energy efficiency. Insurance management and access control enhance security systems. Real estate agents and property managers can utilize these integrated features to effectively manage their property businesses.

    Download Free Sample Report

    The Integrated software segment was valued at USD 659.20 million in 2019 and showed a gradual increase during the forecast period.

    Market D

  14. F

    Total Revenue for Real Estate Property Managers, All Establishments,...

    • fred.stlouisfed.org
    json
    Updated Jan 31, 2024
    + more versions
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    (2024). Total Revenue for Real Estate Property Managers, All Establishments, Employer Firms [Dataset]. https://fred.stlouisfed.org/series/REVEF53131ALLEST
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jan 31, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Total Revenue for Real Estate Property Managers, All Establishments, Employer Firms (REVEF53131ALLEST) from 2009 to 2022 about management, employer firms, accounting, revenue, real estate, establishments, services, and USA.

  15. d

    New Homeowner Contact Data | USA Coverage | 74% Right Party Contact Rate |...

    • datarade.ai
    Updated Aug 18, 2023
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    BatchService (2023). New Homeowner Contact Data | USA Coverage | 74% Right Party Contact Rate | BatchData [Dataset]. https://datarade.ai/data-products/batchservice-new-homeowner-data-us-87-million-property-ow-batchservice
    Explore at:
    .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Aug 18, 2023
    Dataset authored and provided by
    BatchService
    Area covered
    United States of America
    Description

    New Homeowner Data is a subset of our comprehensive property intelligence database that can be segmented by specific property criteria, household demographics, mortgage, and real estate portfolio information.

    Companies in the home services, financial products, and consumer products industries use BatchData to identify new homeowners who have purchased a property in the last 90 days and uncover their direct phone number, email, and mailing address for timely marketing of products and services new homeowners need. New homeowner data can also be segmented property type (residential real estate or commercial real estate), length of ownership, owner occupancy status, and more!

    New homeowner data is available in a variety of data delivery and data enrichment modes: API (you pull data from us using an API), webhook (we push data to you using an API), AWS S3 upload (we deliver the data to you), S3 download (you download the data from our S3 bucket), SFTP.

    BatchData is both a data and technology solution helping companies in and around the real estate ecosystem achieve faster growth. BatchData specializes in providing accurate contact information 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, and power their products and services.

  16. p

    Real Estate Agents in Texas, United States - 18,863 Verified Listings...

    • poidata.io
    csv, excel, json
    Updated Jul 13, 2025
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    Poidata.io (2025). Real Estate Agents in Texas, United States - 18,863 Verified Listings Database [Dataset]. https://www.poidata.io/report/real-estate-agent/united-states/texas
    Explore at:
    csv, excel, jsonAvailable download formats
    Dataset updated
    Jul 13, 2025
    Dataset provided by
    Poidata.io
    Area covered
    Texas, United States
    Description

    Comprehensive dataset of 18,863 Real estate agents in Texas, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  17. F

    Nonfinancial Corporate Business; Real Estate at Market Value, Market Value...

    • fred.stlouisfed.org
    json
    Updated Jun 12, 2025
    + more versions
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    (2025). Nonfinancial Corporate Business; Real Estate at Market Value, Market Value Levels [Dataset]. https://fred.stlouisfed.org/series/NCBREMV
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 12, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Nonfinancial Corporate Business; Real Estate at Market Value, Market Value Levels (NCBREMV) from Q4 1945 to Q1 2025 about market value, real estate, nonfinancial, corporate, business, and USA.

  18. China CN: Listed Company: Debt to Asset Ratio: Real Estate

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). China CN: Listed Company: Debt to Asset Ratio: Real Estate [Dataset]. https://www.ceicdata.com/en/china/financial-data-of-listed-company-debt-to-asset-ratio/cn-listed-company-debt-to-asset-ratio-real-estate
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2012 - Dec 1, 2023
    Area covered
    China
    Variables measured
    Enterprises Survey
    Description

    China Listed Company: Debt to Asset Ratio: Real Estate data was reported at 74.568 % in 2023. This records a decrease from the previous number of 86.729 % for 2022. China Listed Company: Debt to Asset Ratio: Real Estate data is updated yearly, averaging 74.278 % from Dec 2001 (Median) to 2023, with 22 observations. The data reached an all-time high of 86.729 % in 2022 and a record low of 50.030 % in 2001. China Listed Company: Debt to Asset Ratio: Real Estate data remains active status in CEIC and is reported by China Securities Regulatory Commission. The data is categorized under China Premium Database’s Business and Economic Survey – Table CN.OZ: Financial Data of Listed Company: Debt to Asset Ratio.

  19. F

    One to Four Family Real Estate Owned and Securitized by Finance Companies,...

    • fred.stlouisfed.org
    json
    Updated Jun 20, 2025
    + more versions
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    (2025). One to Four Family Real Estate Owned and Securitized by Finance Companies, Level [Dataset]. https://fred.stlouisfed.org/series/DTRTSNM
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 20, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for One to Four Family Real Estate Owned and Securitized by Finance Companies, Level (DTRTSNM) from Jun 1996 to Apr 2025 about securitized, owned, finance companies, companies, finance, real estate, financial, family, and USA.

  20. d

    Current Licensed Real Estate Appraisal Management Companies

    • catalog.data.gov
    • data.ny.gov
    Updated Jul 12, 2025
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    data.ny.gov (2025). Current Licensed Real Estate Appraisal Management Companies [Dataset]. https://catalog.data.gov/dataset/current-licensed-real-estate-appraisal-management-companies
    Explore at:
    Dataset updated
    Jul 12, 2025
    Dataset provided by
    data.ny.gov
    Description

    This data set lists Real Estate Appraisal Management Companies licensed pursuant to Executive Law Article 6-H.

Share
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Close
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Success.ai (2021). Commercial Real Estate Data | Global Real Estate Professionals | Work Emails, Phone Numbers & Verified Profiles | Best Price Guaranteed [Dataset]. https://datarade.ai/data-products/commercial-real-estate-data-global-real-estate-professional-success-ai
Organization logo

Commercial Real Estate Data | Global Real Estate Professionals | Work Emails, Phone Numbers & Verified Profiles | Best Price Guaranteed

Explore at:
.bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
Dataset updated
Oct 27, 2021
Dataset provided by
Area covered
Sierra Leone, Burkina Faso, Comoros, Bolivia (Plurinational State of), Hong Kong, Guatemala, Netherlands, Marshall Islands, El Salvador, Korea (Republic of)
Description

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...

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