Buy U.S. Realtor Agent Datasets – Verified Profiles with Contact & License Info Get Timely, Reliable & Structured News Datasets for Political Analysis, AI Training & Journalism
Get access to high-quality Realtor Agent Datasets featuring detailed profiles including agent names, license numbers, agency affiliations, specialties, spoken languages, contact details, service areas, and experience. Perfect for real estate platforms, lead generation, and CRM integrations. This dataset is customizable as per your business needs.
Data Overview
Use Cases
APISCRAPY’s Realtor Agent Datasets
Zip | Store | Location | Logo | Cat. | Sub-cat | Product | Wt | Reg $ | Sale $ | Img URL | Page URL | UPC | Date |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
60074 | Palatine… | 1555 N R… | Pantry | Pasta… | Nissin Te… | 4 oz | $1.46 | $0.88 | Image | Link | 00070… | 2024-01-12 | |
60074 | Palatine… | 1555 N R… | Pantry | Pasta… | Nissin Te… | 4 oz | $1.46 | $0.88 | Image | Link | 00070… | 2024-01-12 | |
60074 | Palatine… | 1555 N R… | Seasonal… | Winter… | Super We… | 8.8 oz | $7.38 | $0.97 | Image | Link | 00876… | 2024-01-12 | |
60074 | Palatine… | 1555 N R… | Candy | Choco… | Reese’s … | 1.4 oz | $1.32 | $0.98 | Image | Link | 03400… | 2024-01-12 |
50 States
Nationwide Coverage
1M+ Agents
Verified Agent Records
GDPR & HIPAA
Compliance-ready data.
2+ Years
Historical Data
Get Access to Ready-to-Use Realtor Agent Dataset
Our Realtor Agent Dataset provides a detailed and verified compilation of real estate professionals across the United States. Each entry includes comprehensive information such as agent name, license number, digital profiles, agency name, credentials, ratings, reviews, years of experience, price range, specialties, service areas, spoken languages, and full contact details.
Sourced from reputable platforms like Realtor.com, this dataset is ideal for real estate marketplaces, property tech firms, lead generation platforms, and businesses looking to connect with experienced agents. Whether you’re building a property search engine, enhancing a CRM, or launching a targeted outreach campaign, this dataset offers the intelligence you need.
With thousands of real estate agents spanning various regions, specialties, and credentials, this dataset empowers real estate platforms, data analytics companies, and marketing teams to identify top-performing agents, analyze local market expertise, and build personalized engagement strategies. The inclusion of multilingual capabilities, niche certifications, and active service areas makes this dataset especially valuable for hyper-targeted campaigns and regional insights. Whether you’re working on real estate lead scoring, AI model training, or housing trend analysis, our Realtor Agent Dataset delivers trusted, actionable data that drives smarter outcomes.
👉 Note: This is just a sample dataset. We offer full customization based on your location, category, and data requirements.

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.
Ready to Elevate Your Real Estate Intelligence?
Unlock access to high-quality Realtor Agent Datasets—featuring verified profiles, credentials, specialties, languages, service areas, and more. Ideal for proptech companies, real estate platforms, CRMs, marketing agencies, and data-driven startups looking to enhance lead generation, agent discovery, and regional market analysis
What Information Does the Realtor Agent Dataset Contain?
- Agent Name – Full name of the real estate agent.
- Agent License Number – Official license ID for verification.
- Agent Profile Image (DP) – URL to the agent’s display photo.
- Agent Role – Their official designation (e.g., Agent, Broker).
- Agency/Office Name – The real estate company or brokerage they work with.
- Credentials & Certifications – Professional achievements like e-PRO, SRES, etc.
- Agent Ratings – Star-based ratings from clients (e.g., 4.7/5).
- Agent Reviews – Number of reviews and qualitative feedback.
- About Section – Agent bio and value proposition summary.
- Years of Experience – Total time spent in the real estate profession.
- Price Range Handled – The transaction value spectrum they manage (e.g., $1.9K – $1.5M).
- Service Areas – Cities and regions the agent serves (e.g., Atlanta, Marietta, Alpharetta).
- Specialties – Areas of expertise like 1031 Exchange, First-Time Buyers, Short Sales, etc.
- Languages Spoken – Languages the agent is fluent in (e.g., English, Hindi, Punjabi).
- Contact Information – Agent mobile, office phone, alternate numbers, and digital presence.
- Office Address – Complete address with ZIP code, city, and state.
- Associated Websites – Agent’s personal or office websites, if available.
- Social Media Links – Facebook, Instagram, Twitter, YouTube, etc. (if present).
- Data Collection Date – Timestamp of when the data was last verified or updated.
This is just a sample structure. We offer customized datasets where you can choose specific fields, filter by state/city, or request additional data enrichment based on your business needs.
Country Coverage
(4 Countries)
North America (2)
United States Of America
Canada
Australia (1)
Austraila
Europe (1)
United Kingdom

Suitable Company Sizes
Small Business
Medium-sized Business
Enterprise
750+
Happy Clients & Growing
2500+
Projects delivered
12+
Years of Sharing & Caring
Top 9 Use Cases for Realtor Agent Datasets
Let’s explore the key use cases of APISCRAPY’s Realtor 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.
Build Real Estate Agent Discovery Platforms
Power property tech solutions with verified agent profiles, specializations, and service locations to simplify agent discovery for home buyers and sellers.
Enhance Real Estate CRM Systems
Enrich customers CRM tools with agent credentials, experience levels, and contact information to streamline lead management and engagement.
Develop AI Models for Agent Recommendation
Train LLMs and AI models with structured realtor data to recommend the best agents based on location, rating, specialty, and language preferences.
Power Real Estate Analytics & Market Research
Use granular agent data to analyze real estate market activity, track agent performance trends, and identify regional opportunities.
Enable Localized Agent Matching Services
Launch platforms that connect users with top-rated agents in cities like Atlanta, Alpharetta, or Marietta using geo-targeted filtering.
Fuel Real Estate Marketing & Lead Gen Campaigns
Optimize ad targeting and outreach strategies by leveraging detailed agent profiles, specialties, and experience in specific regions.
Enhance Property Listing Sites with Agent Data
Integrate agent profiles with property listings to offer a full-stack real estate browsing and contact experience.
Build AI-Powered Real Estate Chatbots
Use the dataset to train real estate chatbots that recommend local agents based on user preferences, specialties, and spoken language.
Support Real Estate Recruitment & Partner Discovery
Identify top-performing agents and potential partners by filtering through credentials, years of experience, and customer reviews.
AI-Powered Realtor Agent Datasets
APISCRAPY’s realtor agent datasets are enhanced using intelligent algorithms to ensure accuracy, completeness, and real-time usability for real estate businesses and platforms.
01.
We use AI to fill gaps in agent profiles—adding missing specialties, languages spoken, service areas, and social links for a more complete picture.
02.
APISCRAPY’s system automatically removes duplicates, corrects inconsistencies, and standardizes entries—ensuring the dataset is ready for CRM systems, analytics tools, and AI-driven applications.
03.
Agents are tagged by geographic zones, market expertise, and transaction types using AI classification—enabling precise targeting and segmentation for customers real estate solutions.
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 | ❌ | |
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 |
CRM Filters / Integrations | Basic Filters Only | Advanced CRM Filtering |
Dedicated Account Manager | ❌ |
Data Delivery Options
Delivery Methods
How the data is transferred or accessed by the user.
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
How often the data is updated or made available.
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) |
Industries Covered By APISCRAPY’s Realtor Agent Dataset
APISCRAPY’s AI-powered Realtor Agent Data spans multiple industries, offering rich, real-time insights to help businesses, researchers, and analysts stay ahead of the curve.

Real Estate Platforms
Power customers real estate listings or agent directories with verified agent data—enhancing user trust, engagement, and conversions.

PropTech Startups
Fuel AI-driven platforms with rich agent metadata to improve matchmaking, personalized property suggestions, and virtual realty tools.

Real Estate Investment Firms
Analyze agent performance and regional expertise to identify market trends and potential high-performing partners or markets.

Digital Marketing Agencies
Use location-specific agent insights to create hyper-targeted campaigns for brokers, agents, or real estate firms across the U.S.

Lead Generation Companies
Enrich customers lead databases with clean, verified realtor information to increase sales potential and reduce bounce rates.

Mortgage & Lending Companies
Integrate agent datasets with lending models to understand agent-lender dynamics and offer region-specific mortgage services.

Insurance Providers
Cross-reference agent data with homeowner policies to build better underwriting models and tailored insurance offerings.

CRM & Sales Automation Tools
Feed agent data into customers CRM or automation platforms to help sales teams segment, qualify, and close faster with location-based insights.

Data & Analytics Companies
Use agent metrics—like experience, rating, and service areas—for geospatial analysis, predictive modeling, and dashboards.

Real Estate Education & Training
Target agents by specialty and region for upskilling programs, licensing updates, or real estate certification offers.

Relocation & Moving Services
Collaborate with top agents in key regions to generate leads and provide bundled services for individuals relocating.

AI/ML & LLM Integrators
Integrate this structured data into language models or real estate AI applications for tasks like property recommendations and agent comparisons.
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.
Compliant with the Highest Data Privacy Standards
APISCRAPY is proudly certified by the Ethical Web Data Collection Initiatives. We collect only publicly available, business-related information—never private or sensitive data. We strictly avoid scraping content behind login-protected or restricted areas.

Client Testimonials
Does this product fit your data needs?
Get in touch with our team to start unlocking your data solutions.
FAQs: Walmart Product Data for Retail Intelligence & Analysis
What is included in customers Realtor Agent Datasets for the U.S. market?
APISCRAPY's datasets include agent name, license number, agency details, credentials, ratings, reviews, specialties, service areas, spoken languages, contact information, and more—perfectly structured for B2B use.
Can I use this Realtor Agent Dataset to target top-performing agents in specific U.S. cities like Atlanta or Chicago?
Yes, APISCRAPY's dataset is geo-tagged, making it easy to filter by city, state, or ZIP code—ideal for campaigns in markets like Atlanta, Chicago, Miami, and beyond.
Is the Realtor Agent Dataset updated regularly for accuracy and freshness?
Absolutely. Our data is continuously monitored and updated using AI-driven methods to ensure reliability, accuracy, and relevancy.
Can I get a free sample of the U.S. Realtor Agent Dataset before purchasing?
Yes, we offer a free sample so you can evaluate the data quality, structure, and fields before making a commitment.
How can real estate lead generation companies benefit from this Realtor Dataset?
Lead-gen companies can use APISCRAPY's dataset to enrich CRM systems, segment leads by agent type or region, and run targeted outreach campaigns.
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