Buy U.S. MLS Property Listings Dataset

Supercharge your real estate platforms, market research, lead generation, analytics, or investment workflows with comprehensive U.S. MLS property listing data. Whether you’re a proptech startup, brokerage, investor, market analyst, CRM provider, or data-driven SaaS company, our MLS data solutions give you direct access to active, pending, and sold property listings across the United States—fast, compliant, and reliable. No guesswork. Just real-time MLS listing intelligence when and where you need it.

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Data Overview

Country Coverage

Pricing Details

Use Cases

Delivery Options

Industries Covered

Data Samples

MLS ID	Property Address	City	State	ZIP Code	List Price (USD)	Beds	Baths	Sq Ft	Property Type	Status	Days on Market	Listing Agent	Brokerage
MLS123456	2457 Maple Ave	Los Angeles	CA	90015	$875,000	3	2	1,850	Single Family	Active	18	John Carter	Keller Williams Realty
MLS123457	810 Pine Street Apt 4B	Seattle	WA	98101	$620,000	2	2	1,200	Condo	Pending	32	Emily Rogers	Compass
MLS123458	19 Lakeview Drive	Austin	TX	78704	$945,000	4	3	2,600	Single Family	Active	10	Michael Nguyen	Coldwell Banker
MLS123459	5603 Oak Ridge Blvd	Orlando	FL	32819	$540,000	3	2	1,980	Townhouse	Active	25	Sarah Martinez	RE/MAX

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50 States

Nationwide Coverage

1M+ Agents

Verified Agent Records

GDPR & HIPAA

Compliance-ready data.

2+ Years

Historical Data

Explore Trusted U.S. MLS Data Across the USA

Gain instant access to a structured, scalable, and continuously updated U.S. MLS data solution with APISCRAPY’s premium MLS Property Listings Dataset. Our dataset covers residential and commercial property listings across all 50 states, sourced from licensed MLS feeds, broker-listed records, and publicly syndicated real estate platforms. Each listing record is enriched with essential MLS attributes including list price, property status, days on market, property type, square footage, bedroom and bathroom counts, listing agent details, brokerage information, and geospatial location data. Whether you’re building real estate search platforms, powering listing aggregation engines, analyzing housing supply trends, or training AI models for pricing and demand forecasting, APISCRAPY’s MLS data enables faster, smarter, and more confident decision-making. You can filter MLS data by state, city, ZIP code, MLS status (active, pending, sold), property type, price range, days on market, or listing date—ensuring clean, relevant, and up-to-date market insights without duplicates or stale listings. Choosing APISCRAPY means choosing normalized, frequently refreshed, and integration-ready MLS intelligence that fits seamlessly into your workflows. From raw MLS feeds to enriched listing datasets, our solution scales as your real estate data needs grow.

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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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Customize your Data

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. MLS Data Use Cases

Explore how APISCRAPY’s U.S. MLS Dataset delivers structured, frequently refreshed property listing intelligence that powers real-time market visibility, demand analysis, and scalable real estate platforms across listing-driven industries.

Real-Time Housing Supply & Market Activity Analysis

Analyze active, pending, and sold MLS listings to understand housing inventory levels, listing velocity, absorption rates, and market momentum across cities, ZIP codes, and neighborhoods. This supports accurate supply–demand tracking and market health assessment.

Listing Aggregation & Real Estate Search Platforms

Power property search engines, listing portals, and brokerage websites with up-to-date MLS listings enriched with pricing, property features, status changes, and geospatial data. Ensure comprehensive coverage and timely listing updates.

Pricing Strategy & Competitive Listing Analysis

Monitor list prices, price changes, days on market, and comparable listings to optimize pricing strategies. Brokers, sellers, and analytics platforms use MLS data to evaluate competitive positioning and adjust listing tactics in real time.

Lead Generation & Buyer–Seller Intelligence

Identify high-intent buyer and seller opportunities by analyzing new listings, price reductions, expired listings, and relisted properties. MLS data enables targeted outreach and improved lead conversion for agents and brokerages.

Sales Performance & Agent Productivity Analytics

Evaluate agent and brokerage performance using listing volume, sales velocity, close rates, and average days on market. MLS insights support performance benchmarking, recruiting, and operational optimization.

Market Trend Reporting & Local Insights

Track listing trends over time to uncover seasonal patterns, neighborhood-level demand shifts, and emerging hot markets. MLS data supports accurate reporting for market newsletters, investor briefings, and regional insights.

Investment Deal Sourcing & Opportunity Discovery

Identify undervalued or high-demand properties by analyzing listing history, price adjustments, and market exposure. Investors and acquisition teams use MLS data to surface opportunities before they fully price in.

PropTech Product Development & AI Training

Train recommendation engines, demand forecasting models, and pricing algorithms using large-scale MLS listing data. Developers rely on MLS intelligence to build smarter, location-aware real estate applications.

Competitive Market Intelligence

Monitor competitor listings, brokerage activity, pricing movements, and market share across regions. MLS data enables continuous competitive benchmarking and strategic decision-making.

AI-Powered U.S. MLS Property Listings Dataset

We use advanced AI-driven data processing to enrich our multi-source U.S. MLS Property Listings Dataset—ensuring accuracy, consistency, and real-time listing intelligence across active, pending, and sold properties.

01.

MLS listing data is collected from licensed Multiple Listing Services, broker-submitted feeds, and trusted real estate syndication sources across the United States.

02.

The data is cleaned, deduplicated, and standardized—removing expired or withdrawn listings, validating pricing fields, normalizing property attributes, and aligning listing status updates.

03.

We enrich MLS records with listing history, price change events, days-on-market metrics, agent and brokerage metadata, property attributes, and geolocation intelligence—helping you track market activity, demand signals, and listing performance with confidence.

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. MLS Data Dataset supports a wide range of industries by delivering verified, structured, and frequently refreshed property listing intelligence. Each sector uses this data to improve market visibility, accelerate decision-making, and scale listing-driven real estate operations.

Real Estate Marketplaces & Listing Platforms

Power property search, listing discovery, price comparison, and map-based browsing with real-time MLS listings and status updates.

Brokerages, Agents & Property Sellers

Track active, pending, and sold listings, analyze days on market, and optimize pricing and marketing strategies.

Real Estate Investors & Investment Firms

Identify high-demand markets, pricing momentum, and listing velocity trends to support acquisition and exit strategies.

Banking, Lending & FinTech Platforms

Enhance market context for lending decisions by analyzing live inventory, listing prices, and local market activity.

Insurance Providers

Monitor property characteristics, occupancy signals, and listing changes to support underwriting context and exposure analysis.

Government & Housing Authorities

Analyze housing supply, listing availability, and market liquidity to support housing policy and affordability initiatives.

PropTech & Real Estate Technology Companies

Build listing aggregation engines, recommendation systems, and AI-powered market analytics using normalized MLS data.

Urban Planners & Policy Researchers

Study housing inventory, market turnover, and neighborhood-level listing activity to inform zoning and development planning.

Academic & Economic Research Institutions

Conduct research on housing supply cycles, market dynamics, and regional real estate activity using historical MLS trends.

Corporate Real Estate & Relocation Services

Assess housing availability, market competitiveness, and listing density to guide workforce relocation and site planning.

Smart City & Infrastructure Planning Teams

Evaluate housing inventory growth and listing concentration to prioritize infrastructure and community development.

Utilities & Service Providers

Forecast service demand and expansion needs by analyzing active listings, new construction signals, and market turnover.

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. MLS Dataset?

The dataset includes residential and commercial property listings across all 50 U.S. states. Each record contains MLS ID, property type, list price, listing status, days on market, property features, agent and brokerage details, and location data.

2. What are the primary data sources for the MLS data?

U.S. MLS data is sourced from licensed Multiple Listing Services, broker-submitted feeds, and trusted real estate syndication partners to ensure accuracy and comprehensive market coverage.

3. How frequently is the MLS data updated?

The dataset can be refreshed daily, hourly, or near real-time depending on the MLS region, data source, and delivery configuration.

4. Does the MLS dataset include active, pending, and sold listings?

Yes. The dataset includes active, pending, sold, expired, and withdrawn listings, enabling full lifecycle analysis of property listings.

5. Is the MLS data cleaned and deduplicated?

Yes. All records are cleaned, standardized, and deduplicated to eliminate duplicate listings, outdated statuses, and inconsistent property attributes.

6. Can I filter MLS data by location and listing criteria?

Yes. You can filter MLS data by state, city, ZIP code, property type, listing status, price range, days on market, listing date, and other MLS-specific fields.

7. Does the dataset include historical MLS listing data?

Yes. Historical listing data is available, including price changes, status transitions, relist events, and past listing activity.

8. Are agent and brokerage details included in the MLS dataset?

Yes. Each listing includes agent name, brokerage information, and listing office details, subject to MLS data availability and licensing terms.

9. How is the MLS data delivered?

MLS data can be delivered via API, cloud storage, scheduled data feeds, or custom exports in formats such as JSON, CSV, or Parquet.

10. Can the MLS dataset be customized for specific markets or use cases?

Yes. The dataset can be customized by geography, property type, update frequency, and listing attributes to match specific business, analytics, or platform requirements.

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