Description

450,000+ U.S. Realtor Agents Database is a large-scale CSV dataset containing structured records for approximately 450,000 real estate professionals collected from publicly available Realtor.com listings.

Instead of manually searching individual agent profiles and compiling information one record at a time, this database brings hundreds of thousands of agent records together into a single 66 MB CSV file that can be searched, filtered, sorted, segmented, and analyzed using your preferred spreadsheet or database software.
450,000+ Real Estate Professional Records

The database provides extensive coverage of real estate professionals across the United States, making it a substantial research dataset for anyone working with the real estate industry.

Records are organized into individual fields, allowing you to quickly segment the database according to the information available for each agent.
18 Structured Data Fields

The CSV contains up to 18 structured columns, including:

ID — individual record identifier
Created At — associated record timestamp where available
Name — agent name information
Full Name — complete agent name
Person Name — additional standardized name field
Href — associated source/profile reference
First Name
Last Name
Email — where available
Phones — listed telephone information where available
Address — associated location information
City
ZIP Code
State
Brokerage — associated real estate brokerage where available
Photo — associated image reference where included
Realtor URL — Realtor.com profile reference
Video — associated video information where included

Delivered As A CSV File

The entire dataset is supplied in the widely supported .CSV format, giving you the flexibility to work with the information using common spreadsheet, database, analytics, and data-processing applications.

You can import the data into compatible software to:

Search hundreds of thousands of records
Filter agents by state, city, or ZIP code
Group records by brokerage
Create geographic segments
Analyze real estate professional coverage
Clean and organize selected fields
Build custom internal datasets
Conduct market and industry research

Segment The Database By Location

With dedicated state, city, ZIP code, and address fields, the database can be divided into much smaller geographic datasets.

For example, you could isolate records associated with a particular state, narrow the data to individual cities, examine particular ZIP codes, or create your own regional datasets for research and analysis.
Research Brokerages & Real Estate Markets

The included brokerage field adds another useful dimension to the dataset.

Rather than viewing real estate professionals as one enormous list, you can analyze records according to their associated brokerages and combine that information with geographic fields to conduct more detailed market research.
A Substantial Real Estate Data Resource

Compiling a dataset containing hundreds of thousands of individual professional records manually would require an enormous amount of research and organization.

This collection provides that information in a structured format from the beginning, giving researchers, analysts, developers, and other legitimate business users a much larger starting point for their own data projects.
Database Overview

Approximately 450,000 Realtor agent records
United States real estate professional data
18 structured data fields
State, city, ZIP & address information
Brokerage information where available
Email fields where available
Phone information where available
Profile and Realtor.com URL fields
CSV format
Approximately 66 MB

One File. Hundreds Of Thousands Of Records.

450,000+ U.S. Realtor Agents Database turns a huge collection of individual real estate professional records into one structured, searchable dataset.

Filter it. Segment it. Analyze it. Import it into compatible tools. Build smaller datasets around the locations and fields relevant to your project.

A massive real estate industry dataset, organized and ready for legitimate research, analysis, and data-processing workflows.

Important: Data completeness and accuracy may vary between records, and contact information may change over time. Buyers should independently verify information before relying on it and are responsible for ensuring their use of the dataset complies with applicable privacy, marketing, anti-spam, data-protection, platform, and other relevant laws and requirements.