The main reasons homebuyers hired a real estate agent were to help with the search and the negotiation of the terms and price. 50 percent of homebuyers expected the real estate agent to help them find the right home to purchase, while 12 percent wanted the agent to help with the negotiation of the terms, and 11 percent hoped that the agent helps with the price negotioations. The majority of home buyers in the United States in 2023 purchased their homes through a real estate agent or broker.

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

Autoscraping’s Comprehensive U.S. Real Estate Agent Contact and Sales Data for Enhanced Market Insights Autoscraping provides an exclusive dataset featuring verified contact and sales information for over 300 real estate agents across the United States. This data product stands out by combining high-quality contact details (phone numbers, email addresses), sales performance metrics, and social media profiles to offer a full-spectrum view of each agent’s professional footprint.

What Makes This Data Unique? This dataset’s unique value lies in its depth and precision. Unlike generic contact lists, our data includes agent-specific metrics like years of experience, recent sales volume, price ranges, average prices, and verified online profiles (LinkedIn, Facebook, Twitter, and Zillow). Each profile is carefully curated to support accuracy, completeness, and reliability, making it a trusted resource for marketers, sales teams, and analysts.

How is the Data Sourced? Our data is sourced through proprietary scraping techniques developed by Autoscraping, ensuring up-to-date and comprehensive records. Leveraging over a decade of expertise in web scraping, we’ve built specialized tools to securely extract and verify information from publicly available, reputable sources. This approach enables us to provide fresh data aligned with the latest market developments and standards.

Primary Use-Cases and Industry Applications This dataset is designed for a variety of applications, including:

Targeted Marketing: Connect with real estate agents for promotional campaigns, partnerships, or events. Sales Outreach: Enable sales teams to personalize pitches and establish direct contact with agents in key markets. Market Analysis: Analysts can leverage this data to track trends in real estate sales performance across regions. Customer Engagement: Enhance customer engagement strategies by understanding agents’ digital presence and public sentiment through social media profiles. How This Data Product Complements Our Broader Offering As part of Autoscraping’s suite of data products, the U.S. Real Estate Agent Contact and Sales Data provides a crucial piece of the larger real estate data ecosystem. Our goal is to support industries such as real estate investment, property technology (proptech), financial services, and market research. By integrating this data with other Autoscraping products, clients can gain a comprehensive view of the real estate market, combining agent performance with regional property data, housing trends, and market insights for a complete analysis.

Key Benefits of Autoscraping’s U.S. Real Estate Agent Dataset High-Quality Data: Verified contact information and professional metrics updated regularly. Scalable Volume: Over 300 real estate agent profiles with potential for custom data scaling. Flexible Integration: Compatible with CRM systems, data lakes, and analytics tools for seamless usage. With Autoscraping’s U.S. Real Estate Agent Contact and Sales Data, you gain the actionable insights needed to make informed decisions, drive engagement, and ultimately achieve your business goals.

While the majority of home buyers in the United States in 2023 expected the real estate agent to help them find the right home to purchase, 61 percent of real estate agents focused on helping the buyer understand the home buying process. Other benefits provided by real estate agents included pointing out unnoticed features or faults with a property and negotiating a better list of service providers.

Graph and download economic data for Employed full time: Wage and salary workers: Real estate brokers and sales agents occupations: 16 years and over (LEU0254498300A) from 2000 to 2024 about agents, brokers, occupation, full-time, real estate, salaries, workers, 16 years +, wages, sales, employment, and USA.

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.

The number of members of the National Association of Realtors (NAR) in 2023 declined for the first time since 2012. This trend also reflects the recovery of the property market after the financial crisis of 2007-2009, as the volume of home sales began to climb from 2011. The NAR is a North American trade association for real estate workers formed in 1908 and currently based in Chicago, Illinois. In 2022, the association had nearly 1.6 million members.Employment in the real estate sector The upward in NRA membership is mirrored in overall employment in the real estate sector in the United States. In 2023, 2.4 million people were employed in the sector, which indicates that the majority of workers are members of the NAR. Employees in the real estate, rental, and leasing industry in the U.S. earned slightly above the average wage in the country. Membership growth ties in with growth in home sales The growth in NAR membership also correlates with the growth of residential property sales. For instance, the number of new houses sold in the U.S. has been on the rise since 2011. American adults as a whole have been steady in their view that homeownership is an important part of the American Dream. However, the share of American Millennials – those born between 1981 and 1996 - who view homeownership as important has been fluctuating since 2010. This adds an element of uncertainty to the future of the housing market because millennials are in their mid-twenties and thirties, which is widely viewed as the best time to buy a home from a home equity perspective.

This data contains active Real Estate Salesperson and Broker Licenses from New York State Department of State (DOS). Each line will be either an individual or business licensee which holds business address and license number information. If the license type is an individual, the business name that the individual works for will be listed.

Graph and download economic data for All Employees: Financial Activities: Offices of Real Estate Agents and Brokers in New York (SMU36000005553120001SA) from Jan 1990 to Dec 2024 about agents, brokers, real estate, NY, employment, and USA.

The majority of home buyers in the United States in 2023 used a real estate agent to help them find the right home to purchase. The most important skill and quality of real estate agents to 98 percent of buyers was being honesty and integrity. Responsiveness and the knowledge of the purchase process were also highly considered by home buyers.

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

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

The industry expenses expressed in percentage of the total operating expenses, for real estate agents, brokers (North American Industry Classification System 53121), annual, two years of data.

This statistic shows how home sellers found their real estate agent in the United States in 2018, by presence or absence of children in home. Most real estate agent were referred to home sellers by (or the agent was) a friend, neighbor or relative with 37 percent of households without children and 42 percent of households with children under 18 selecting that answer in the survey.

Expert industry market research on the Real Estate Sales & Brokerage in the US (2006-2030). Make better business decisions, faster with IBISWorld's industry market research reports, statistics, analysis, data, trends and forecasts.

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 majority of home buyers in the United States in 2023 purchased their homes through a real estate agent or broker. At least 45 percent of home buyers across all age groups expected the real estate agent to help them find the right home to purchase. Besides finding the right home, the expectations of buyers from real estate agents included helping them with the financing aspects of the home purchase process.

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...

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

In the 2018 survey, 86 percent of home buyers used a real estate agent when searching for a home in the United States. Only 14 percent said that they didn't use a real estate agent during their house hunt.