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Looking for real estate agent data to power your sales, marketing, or research? We’ve got you covered! Our USA-wide database includes thousands of real estate professionals, complete with names, contact info, specialties, company details, and more.
Data Overview
Use Cases
Data Samples
| Image | Name | Description | Role | Experience | Locations | Specialties | Company | Address | City | State | ZIP | Phone | License | Website | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
 |
Sam Shaffer | We know that buying or selli… | Buyers and Sellers Agent | 21 years | Wicker Park, Chicago, IL… | Buyer’s agent, Listing a… | Chicago Properties | 2348 W. Grand Ave | Chicago | IL | 60612 | (773) 974-8437 | 47101778 | Website | ||
 |
Danielle Dowell | A Top Chicago Real Estate B… | Real Estate Broker | 15 years | Oak Park, IL, Arlington … | Buyer’s agent, Listing a… | Berkshire Hathaway | 1800 N Clybourn Ave, 2nd … | Chicago | IL | 60614 | (312) 465-4062 | 475125415 | Website |
50 States
Nationwide Coverage
1M+ Agents
Verified Agent Records
GDPR & HIPAA
Compliance-ready data.
2+ Years
Historical Data
Ready to Transform Your Real Estate Decisions?
Get access to reliable U.S. Real Estate Data—covering agents, pricing trends, locations, and more. Perfect for real estate professionals, businesses, investors, and anyone curious about the market.
Explore Trusted Real Estate Agent Data Across the USA
Get access to comprehensive, up-to-date real estate agent data with APISCRAPY’s premium dataset. Our real estate data includes detailed information about agents from across the United States, such as their years of experience, specialties, contact details, and the areas they serve. Whether you’re an investor, a business looking to expand, or simply in need of connecting with top real estate professionals, this dataset offers the most reliable and verified information. Covering all 50 states, it allows you to search and filter agents based on specific needs, ensuring you always find the best fit.
Choosing APISCRAPY’s real estate agent data means investing in high-quality, accurate, and regularly updated information. Unlike other providers, we ensure our dataset is always current, ensuring you don’t waste time with outdated or incomplete data. Our real estate agent data USA offers a vast selection of agents with diverse specialties, making it easy for you to find the right professional for buying, selling, or renting. Whether you’re looking to perform market research, develop custom tools, or expand your business, API Scrapy’s data is designed for seamless integration and reliable results. Choose API Scrapy for the best real estate agent data and see the difference it makes for your business or project.
Get Data Now
APISCRAPY is an AI-driven web scraping and automation tool that converts any web data into ready-to-use data API. The tool is capable to extract data from websites, process data, automate workflows, classify data and integrate ready-to-consume data into database or deliver data in any desired format.
What Information Does the List Contain?
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The APISCRAPY real estate agent dataset contains detailed and up-to-date information that is essential for anyone looking to connect with real estate professionals across the United States. Here’s a breakdown of the key information included in the list:
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Agent Name: Full name of the real estate agent, making it easy to identify the professional.
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Role/Designation: The agent’s job title, such as Buyer’s Agent, Listing Agent, or Broker.
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Experience: The number of years the agent has been active in the real estate industry, providing insights into their level of expertise.
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Specialties: Information on what type of real estate the agent specializes in (e.g., residential, commercial, luxury homes, etc.).
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Locations Served: Geographic areas where the agent works, including states, cities, and neighborhoods, allowing you to find experts in specific locations.
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Company Name: The real estate agency or company the agent is affiliated with, so you can learn more about their professional environment.
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Company Address: The office address of the real estate agent, which helps in locating their office for face-to-face meetings or other inquiries.
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Phone Number: Direct contact details, making it easy to reach out to the agent for inquiries or appointments.
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License Number: The real estate license number of the agent, ensuring they are certified and regulated by the appropriate authorities.
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Social Media Links: Links to the agent’s professional profiles on platforms like Facebook and LinkedIn, offering a more personal view of their experience and reviews.
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Website: A link to the agent’s personal or company website for further information, listings, or to get in touch.
This information is continuously updated to ensure that you have access to the most accurate and reliable data available, allowing you to make informed decisions when selecting the best real estate agent for your needs.
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In line with the highest data privacy standards
Coresignal is certified by Ethical Web Data Collection Initiative and collects only publicly available, strictly business-related data. We don’t collect private or sensitive data and we do not scrape behind login-secured areas.
- Trusted by
Country Coverage
(4 Countries)
North America (2)
United States Of America
Canada
Australia (1)
Austraila
Europe (1)
United Kingdom
AI-Powered Real Estate Agent Dataset
We use advanced AI algorithms to enrich our multi-source U.S. Real Estate Agent Dataset—filling in gaps, verifying accuracy, and adding high-value fields for better decisions.
01.
Real estate agent data is sourced from multiple verified public directories and platforms across the U.S.
02.
03.
Suitable Company Sizes
Small Business
Medium-sized Business
Enterprise
750+ Happy Clients
& Growing
2500+
Projects delivered
12+
Years of Sharing & Caring
Real Estate Agent Data Use Cases
Let’s explore the key use cases of APISCRAPY’s real estate agent data and how this comprehensive, accurate, and up-to-date information can be leveraged across different industries to drive informed decision-making and support business growth.
Market Research
Businesses, investors, and researchers can analyze real estate agent data to identify trends, map out competitive landscapes, and understand the distribution of agents across various regions. By looking at factors like agent experience and specialties, you can pinpoint opportunities and gaps in the market.
Targeted Marketing Campaigns
Real estate firms and service providers can use the data to run targeted marketing campaigns. With access to contact details and specialties, they can specifically target agents who match their ideal customer profiles for products or services, such as real estate software, marketing tools, or financing.
Lead Generation for Real Estate Businesses
Real estate companies can leverage real estate agent data USA to find new leads and connect with top-performing agents. By reaching out to agents based on location or specialties, businesses can form partnerships or develop referral networks..
Agent Recruitment
Real estate companies or agencies looking to expand can use the dataset to identify and recruit qualified agents with the right experience, specialties, and geographic presence. The data helps match agents to opportunities that align with their expertise.
Competitive Analysis
Using the agent data, businesses can conduct competitive analysis by examining the agents’ experience, specialties, and service areas. Understanding who the top agents are in a specific market segment or location helps businesses refine their own strategies.
Real Estate Investment
Investors seeking to expand their portfolios can use the dataset to identify real estate agents who specialize in certain property types, such as residential, commercial, or luxury homes. This enables investors to connect with the right experts for purchasing or selling properties in specific markets.
Custom Software Solutions
Tech companies developing custom solutions for real estate professionals can use APISCRAPY’s real estate agent data to integrate into their platforms, improving functionality by providing real-time access to verified agent data. This makes it easier for users to connect with the right professionals directly through the software.
Real Estate Platform Development
Startups or established companies developing real estate platforms or marketplaces can integrate the dataset into their systems to provide users with easy access to top agents in different areas. This enhances the user experience by connecting buyers, sellers, and renters with verified agents.
Educational and Academic Use
Students, researchers, and educators can use real estate agent data in case studies, projects, and research about the real estate industry. The dataset helps explore agent trends, market dynamics, and geographic service areas, offering rich material for academic study in business, economics, and real estate courses.
Easy Integration
Oracle
MySQL
MS SQL Server
PostgreSQL
Microsoft Access
Redis
MongoDB
Snowflake
Elastic search
IBM Db2
Sqlite
Cassandra
Databricks
Splunk
Azure SQL
Apache Hive
Google BigQuery
Neo4j
Data Listing Plan Comparison Table
The Data Listing Plan Comparison Table provides a concise overview of APISCRAPY’s available plans, allowing you to easily compare features, pricing, and benefits. It highlights key aspects such as data entries, update frequency, and support, helping you choose the plan that best fits your needs.
| Data Fields | Basic Plan | Premium Plan |
| Access to Core Data Fields | ||
| Advanced Data Fields | ||
| Contact/Email/Phone Data | ||
| Pricing Insights / Market Trends | ||
| Custom Field Requests | ||
| Real-Time Data Updates | ||
| Historical Data Access | ||
| Data Download Formats | CSV, JSON | CSV, JSON, Excel, XML |
| API Access | ||
| Data Filtering & Query Options | ||
| Data Freshness | Weekly Updates | Daily or Real-Time |
| Priority Support | ||
| Usage Analytics Dashboard | ||
| SLA & Data Accuracy Guarantee | ||
| Data Access Quota (Searches) | 2,000 searches/month | Unlimited Searches |
| CRM Enrichment | Manual Only | Automatic Enrichment |
| Workflow Automation | Email Alerts Only | Full Automation (Zapier, etc.) |
| CRM Filters / Integrations | Basic Filters Only | Advanced CRM Filtering |
| Dedicated Account Manager | ||
| Number of Users | 1 User Included | 5 Users Included, +$X per extra user |
Data Delivery Options
Delivery Methods
| S3 Bucket |
| SFTP |
| UI Export |
| REST API |
| SOAP API |
| Streaming API |
| Feed API |
| Google Cloud Storage (GCS) |
| Azure Blob Storage |
| Google Drive / Dropbox |
Update Frequency
| secondly |
| minutely |
| hourly |
| daily |
| weekly |
| monthly |
| quarterly |
| yearly |
| real-time |
| on-demand |
| Custom Schedule |
Data Formats
The file or structural format in which data is provided.
| .bin |
| .json |
| .xml |
| .csv |
| .xls |
| .sql |
| .txt |
| HTML (for human-readable previews) |
| PDF reports |
| ZIP (compressed packages) |
Industried Covered
Real Estate Agencies
Real estate agents can use this data to expand their client base, analyze market trends, and target potential leads with precise, up-to-date contact information.
Property Developers
Developers can use the data to identify locations with high demand, track property values, and determine ideal areas for new developments or investments.
Marketing Firms
These companies can leverage real estate agent data to run targeted marketing campaigns, personalize content, and optimize ad spend for clients in the real estate industry.
CRM Platforms
CRM systems can use the contact information, lead sources, and agent performance data to enrich customer profiles, improve outreach strategies, and automate follow-ups.
Investment Firms
Investors can rely on this data to analyze trends in the real estate market, identify high-performing agents, and make informed decisions about where to invest in properties.
Real Estate Tech Startups
Tech companies focusing on real estate applications or platforms can integrate this data to enhance their offerings, provide detailed agent information, and improve user experience.
Market Research
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These firms can use the data to create reports, analyze market performance, and offer insights to clients about real estate trends, agent activity, and price movements.
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Government
Local governments or urban planners can use the data to understand housing trends, guide zoning decisions, and predict future real estate needs for growing communities.
Real Estate Portals
Online real estate platforms can integrate agent data to provide a seamless experience for users looking to connect with the right agents based on specific criteria.
Mortgage Lenders
Mortgage companies can use the data to identify top-performing real estate agents and collaborate with them to offer mortgage products to homebuyers, improving lead generation and conversion rates.
Insurance Companies
Insurance firms can partner with real estate agents to offer home insurance solutions to new homeowners, using the agent data to target specific neighborhoods and client demographics.
Data Analytics Firms
Companies specializing in data analytics can use the real estate agent data to build predictive models, conduct sentiment analysis, and forecast real estate market trends, providing valuable insights to businesses and investors.
Our assurance to security & quality
Why You Should Go With APISCRAPY
Experience
12+ years
of sharing and caring.
Projects
2500+ Projects
delivered with a smile.
Retention
98%
engagement success rate.
Quick
Scale-up
as per your requirement.
Certified
ISO 9001 & 27001
data quality & security.
Clients
750+
served across industries.
Client Testimonials
[testimonial_view id=”1″]
Does this product fit your data needs?
Get in touch with our team to start unlocking your data solutions.
Product Related FAQ’s
How accurate is this data?
Our Real Estate Agent Data [USA] is verified through trusted sources and updated monthly, ensuring you get the most accurate and current information available.
How frequently is the data updated?
The dataset is updated monthly, so you’ll always have access to the latest real estate trends, pricing information, and market insights.
Can I use this data for commercial purposes?
Yes, this Real Estate Agent Data is ideal for both personal and commercial use. Whether you’re conducting research or building your business, the data is flexible and can be applied across various industries.
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