Buy U.S. Property Listings Dataset

APISCRAPY provides a verified U.S. property listings dataset covering active, sold, and rental properties across all 50 states.Each record includes price, address, geolocation, property type, size, beds, baths, agent details, and listing dates.Data is sourced from MLS feeds, brokerages, and public listing platforms.Listings are clean, deduplicated, and regularly updated.Ideal for PropTech platforms, market analysis, and real estate investment models.

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Data Overview

Country Coverage

Pricing Details

Use Cases

Delivery Options

Industries Covered

Data Samples

U.S. Property Listings Dataset

Property ID	MLS ID	Property Type	Status	Price ($)	Beds	Baths	Sq Ft	Lot Size	Year Built	Address	City	State	Zip Code	Latitude	Longitude	Days on Market	Agent Name	Brokerage
USPL-1001	MLS-TX-88921	Single Family	Active	685,000	4	3	2,450	7,200	2016	1245 Barton Creek Blvd	Austin	TX	78,735	30.2672	-97.7431	18	Michael Turner	Keller Williams Realty
USPL-1002	MLS-FL-77102	Condo	Pending	520,000	2	2	1,320	0	2019	890 Brickell Plaza Apt 2104	Miami	FL	33,131	25.7617	-80.1918	27	Sophia Martinez	Coldwell Banker
USPL-1003	MLS-AZ-55341	Townhouse	Active	410,000	3	2.5	1,680	2,400	2014	3321 E Desert Cove Ave	Phoenix	AZ	85,028	33.4484	-112.0740	12	Ryan Cooper	RE/MAX Professionals

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50 States

Nationwide Coverage

1M+ Agents

Verified Agent Records

GDPR & HIPAA

Compliance-ready data.

2+ Years

Historical Data

Access Verified U.S. Property Listings Data at Scale

Gain instant access to a powerful, structured, and scalable real estate data solution with APISCRAPY’s premium U.S. Property Listings Dataset. Our property data covers active, pending, sold, and rental listings across all 50 states, sourced from verified MLS feeds, brokerage platforms, and trusted public listing sources. Each record is enriched with essential property metadata, including property type, price, full address, geolocation, square footage, bedrooms, bathrooms, listing status, agent details, and listing dates. Whether you’re building a PropTech platform, conducting real estate market research, training automated valuation models (AVMs), or enhancing investment and risk analytics, APISCRAPY’s property listings data is designed to help you move fast and stay accurate. You can filter listings by state, city, ZIP code, property type, price range, or listing status—making it easy to access precisely the data you need, without duplicates or outdated records. Choosing APISCRAPY means choosing verified, regularly updated, and fully structured property listings data that integrates seamlessly into your systems. Our dataset empowers real estate platforms, investors, analysts, and developers to make smarter, faster decisions. From raw listing feeds to enriched property intelligence, our U.S. Property Listings Dataset is built to scale with your business.

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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.

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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.

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What Information Does the List Contain?

Our U.S. legal court data list is packed with rich, actionable details that empower your business, research, or legal solutions. Each record is meticulously structured and verified to ensure maximum value and usability. Here’s a snapshot of the information you’ll receive:

Full Name of individuals involved (defendants, plaintiffs, etc.)

Case Description and nature of the offense or legal matter

Case Type – Civil, Criminal, Traffic, or specialized court categories

Address & Contact Information (where publicly available)

Court Name & Jurisdiction

Citation or Docket Numbers

Filing Date & Violation Date

Statute Codes referenced in the case

Disposition & Plea Details

Demographic Data (Race, Sex, DOB – where legally permitted)

Vehicle & Accident Info (for traffic and DUI-related cases)

Attorney & Arresting Agency Info (when applicable)

Court System Classification – District, Municipal, State-level, etc.

This is just a sample of the data you can expect. At APISCRAPY, we understand that your needs may be unique, and that’s why we offer fully customizable datasets. Whether you need additional case details, specific court systems, or extra metadata tailored to your exact requirements, we’ll work with you to deliver the data that fits your business perfectly.

Trusted by

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

U.S. Property Listings Data Use Cases

Explore how APISCRAPY’s U.S. property listings dataset delivers reliable, structured, and frequently updated real estate intelligence that supports operational efficiency, market accuracy, and scalable growth across real estate-driven industries.

Real Estate Market Research & Pricing Analysis

Use active, pending, and sold property listings to analyze price trends, inventory levels, days on market, and regional demand. This data enables accurate market forecasting, neighborhood-level analysis, and evidence-based pricing strategies.

Automated Property Valuation (AVMs)

Power valuation models using comparable property listings, historical prices, location attributes, and property features. Improve valuation accuracy for mortgage lending, refinancing, investment analysis, and portfolio assessments.

Buyer & Seller Lead Identification

Identify high-intent buyers and sellers by tracking new listings, price changes, and market exits. Real estate brokers and platforms can target prospects based on property type, location, and pricing signals.

Real Estate Investment & Risk Modeling

Evaluate investment potential by analyzing listing volatility, price appreciation trends, rental demand, and supply constraints. Investors and funds use property listings data to reduce acquisition risk and optimize portfolio allocation.

Rental Market Intelligence

Analyze rental listings to track rent growth, unit availability, property turnover, and demand by location. Property managers and housing platforms use this data to optimize rent pricing and occupancy strategies.

PropTech Product Development

Integrate structured property listings data into PropTech solutions such as listing aggregators, recommendation engines, pricing tools, and AI-driven market intelligence platforms. Clean, standardized data ensures scalability and system reliability.

Urban Development & Housing Supply Analysis

Developers, planners, and analysts can assess housing supply, development density, and market saturation by studying listing activity across regions. This supports informed development planning and land-use decisions.

Competitive Listings Intelligence

Monitor competitor inventory, pricing behavior, and listing volume across markets. Property listings data enables benchmarking, competitive positioning, and early detection of market shifts.

Near Real-Time Market Monitoring

Track listing updates, status changes, and price movements in near real time. This allows platforms, investors, and analysts to respond quickly to emerging opportunities and market corrections.

AI-Powered U.S. Property Listings Dataset

We use advanced AI-driven data processing to enrich our multi-source U.S. Property Listings Dataset—ensuring accuracy, completeness, and high-value property intelligence for confident real estate decisions.

01.

Property listings data is sourced from multiple verified listing platforms, MLS feeds, brokerage websites, and public real estate sources across the United States.

02.

The data is filtered, cleaned, and standardized—removing duplicate listings, correcting inconsistencies, and validating key attributes such as pricing, location, and property specifications.

03.

We enhance the dataset by enriching listings with detailed property features, geolocation data, listing status history, pricing changes, and market indicators—helping you identify, analyze, and act on the right real estate opportunities.

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.

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Data Fields	Basic Plan	Premium Plan
Access to Core Data Fields	R	R
Advanced Data Fields	Q	R
Contact/Email/Phone Data	Q	R
Pricing Insights / Market Trends	Q	R
Custom Field Requests	Q	R
Real-Time Data Updates	Q	R
Historical Data Access	Q	R
Data Download Formats	CSV, JSON	CSV, JSON, Excel, XML
API Access	R	R
Data Filtering & Query Options	Q	R
Data Freshness	Weekly Updates	Daily or Real-Time
Priority Support	Q	R
Usage Analytics Dashboard	Q	R
SLA & Data Accuracy Guarantee	Q	R
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	Q	R
Number of Users	1 User Included	5 Users Included, +$X per extra user

Data Delivery Options



Delivery Methods

How the data is transferred or accessed by the user.

S3 Bucket

SFTP

Email

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)

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Industried Covered

Our U.S. Property Listings Dataset serves a broad range of industries by delivering verified, structured, and frequently refreshed property-level intelligence. Each sector uses this data to improve decision accuracy, reduce market uncertainty, and scale real estate-driven operations.

Mobile & Location Intelligence Platforms

Integrate property listings with geospatial data to enhance map-based discovery, neighborhood insights, and location-driven user experiences.

Real Estate Brokerages & Listing Platforms

Access active, pending, and sold property listings to support pricing analysis, market comparisons, listing performance tracking, and faster transaction cycles.

Insurance Providers

Use property attributes such as construction type, location risk, and market value to strengthen underwriting models, risk assessment, and claims validation.

Banking, Mortgage & Lending Institutions

Leverage property listings data for collateral valuation, loan approvals, refinancing analysis, and regulatory-compliant mortgage decisioning.

Real Estate Investors & Asset Managers

Identify acquisition opportunities, price appreciation trends, rental potential, and market volatility using historical and current listings data.

Government, Housing Authorities & Urban Planners

Analyze housing supply, affordability metrics, and development activity to support zoning decisions, housing policy formulation, and infrastructure planning.

Property Management & Rental Marketplaces

Track rental inventory, pricing fluctuations, and listing turnover to optimize rent strategies, occupancy rates, and portfolio performance.

PropTech & Real Estate Technology Companies

Build scalable platforms using standardized property listings data for search, recommendation engines, market analytics, and AI-powered insights.

Academic, Economic & Market Research Organizations

Conduct housing market studies, regional demand analysis, and long-term real estate trend research using longitudinal property listings data.

Commercial Real Estate & Site Selection Teams

Evaluate commercial property availability, pricing benchmarks, and location dynamics to support retail expansion and site feasibility analysis.

Transportation & Smart City Planning

Assess residential and commercial growth patterns derived from listings data to inform mobility planning and smart infrastructure development.

Energy, Utilities & Infrastructure Providers

Forecast demand for utilities and infrastructure expansion by analyzing new property listings, construction activity, and regional development trends.

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.

F

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.

Learn about data transparency ➜

Client Testimonials

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Product Related FAQ’s

1.What is included in the U.S. Property Listings Dataset?

The dataset includes active, pending, sold, and rental property listings across all 50 U.S. states. Each record contains structured property metadata such as property type, price, address, geolocation (latitude and longitude), square footage, bedrooms, bathrooms, listing status, agent or broker details, and listing dates.

2.What are the data sources for the listings?

APISCRAPY sources data from multiple verified channels, including MLS feeds, brokerage platforms, listing websites, and public real estate sources. Using multiple sources ensures broad coverage, higher accuracy, and reduced dependency on any single provider.

3. How frequently is the dataset updated?

The dataset is refreshed regularly, with near real-time updates for listing status changes, price updates, and new listings. Update frequency can be customized based on your business requirements.

4. Does the dataset cover all U.S. states and major cities?

Yes. The dataset provides nationwide coverage across all 50 states, including major metropolitan areas, mid-sized cities, and suburban and rural markets.

5. Can I filter the data by location or property attributes?

Yes. You can filter listings by state, city, ZIP code, property type, price range, listing status, number of bedrooms or bathrooms, and other key property attributes.

6. Is the data cleaned and deduplicated?

Absolutely. All listings go through an AI-driven cleaning and standardization process that removes duplicates, corrects inconsistencies, validates locations and prices, and ensures consistent formatting across sources.

7. Is historical listing data available?

Yes. Historical data, including sold listings, pricing changes, and status history, is available to support trend analysis, forecasting, and model training.

8. Can this dataset be used for automated valuation models (AVMs)?

Yes. The dataset is well-suited for AVMs and other analytics models, providing comparable listings, historical prices, property features, and location attributes needed for accurate valuations.

9. Is rental property data included?

Yes. The dataset includes residential rental listings, enabling analysis of rent trends, unit availability, turnover rates, and rental demand by location.

10. What industries can benefit from this dataset?

Industries include real estate brokerages, PropTech companies, investors, banks and mortgage lenders, insurance providers, government agencies, urban planners, property managers, research institutions, and infrastructure or smart city planners.

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