• January 31, 2023

Real Estate Listing Data

Real Estate Listings Data & Analytics | ATTOM

Real Estate Listings Data & Analytics | ATTOM

Comprehensive Real Estate Listings Data
ATTOM’s real estate listings data and analytics solution provides access to over 40 million listings nationwide, arming customers with invaluable insights into current and historic real estate listing data.
Deriving Current Market Trends
Accessible, Integrated, Real-time Data Delivered to Your Clients
Since real estate listing data is constantly changing, ATTOM makes sure to update it frequently to deliver the timeliest data available. With nationwide coverage, ATTOM’s listings solutions are standardized in a common format, allowing for easy integration and analysis.
Access to detailed, nationwide property listing data, including for sale or lease. Listings are updated throughout the day.
Access to millions of closed listings, updated daily.
Images of properties used in real estate listings, including virtual tours, for insights into individual property characteristics.
Days on market (DOM) is a key metric that indicates how many days a property has been actively on the market.
Includes up-to-date information on residential/non-residential property features, such as location, square footage, number and type of rooms, local amenities, utilities, price, and more.
Upcoming public open houses, in-person as well as virtual. 
Agents and offices associated with listings and sales, as well as other agent/office data.
Key dates important for real estate activity, such as the listing date, sale date, pending date, and off-market date.
The prices associated with a property’s status, such as sale price or listing price.
How Can You Implement ATTOM’s Real Estate Listings Data?
Start getting leads today and connect real estate listings data directly to your website by utilizing ATTOM’s turnkey website design More
With one of the largest selections of WordPress Plugins in the real estate industry, you can instantly enhance your platform with ATTOM’s updated and timely real estate listings More
ATTOM’s Internet Data Exchange or IDX solutions enables real estate brokers and agents to showcase MLS listings on their website. Learn More
ATTOM’s Data is Your Business Advantage
A multi-sourced, enhanced national warehouse that contains information on more than 155 million U. S. properties including:
29. 6 Billion Rows of Data
9, 000 Data Fields
20TB Warehouse
99% Population Coverage
Our rigorous Enterprise Data Management Program (EDMP) involves more than 20 steps that validate, standardize and enhance the real estate data we collect:
Property Address Standardization
Owner Name Parsing
ATTOM ID Matching
Fusion of Multi-Sourced Data
Data Governance
See How ATTOM Can Make a Difference for Your Business!
Realtor.com Real Estate Data and Market Trends for Download

Realtor.com Real Estate Data and Market Trends for Download

Real Estate Data Library
Data Attribution: Files in the real estate data library are free to use, we just ask that you attribute any full or partial use of the data to with a link to this page. See specific notes on attribution for each data series under sections below.
How to use the data: Files are structured for database use, and contain multiple metrics for different levels of geography down to zip code level. ‘Current month data’ shows figures for the latest month available, while the ‘Historical data’ contains monthly series going back in time. The ‘All Residential’ category includes data on all homes (single family home and condo/townhome) for the given level of geography. See key remarks for important info regarding data quality and usage.
Key remarks: Data in this library is based on the most comprehensive and accurate database of MLS-listed for-sale homes in the industry. We aggregate and analyze data from hundreds of sources and produce hundreds of metrics for multiple markets, and curate figures and trends where possible for reliability and comparability. However, as we continue to evolve our coverage and fine-tune our definitions, some data points may be too volatile or incomparable over time or across markets. This is particularly true for data in a) smaller geographies; b) markets with special or changing definitions of active inventory; c) markets with limited or partial listing; and d) coverage markets with limited or partial sales coverage. Where possible, these cases are annotated for individual metrics (see data dictionaries for more info). Also, every month, we reissue the full historical series, and past data points may change as we improve data breadth and accuracy, and/or re-state the data altogether.
Media Inquiries: For media inquiries, please contact our communications team:
Rachel Conner (Communications Manager) –
Lexie Puckett (Communications Director) –
Nicole Murphy (Public Relations Sr. Manager) –
Contact: for questions or guidance on exploring the data, email us at
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INVENTORY – Weekly
In response to the COVID-19 pandemic, we are making weekly listing inventory data available at national and metro levels. You can read this week’s inventory summary here.
Weekly data updated on October 8th, 2021 with data through October 2nd, 2021.
INVENTORY – Monthly
Monthly data updated on September 30, 2021 with data through September 2021. Next update scheduled for November 4, 2021 with data through October 2021.
Market trends and monthly statistics on active for-sale listings (including median list price, average list price, luxury list price, median days on market, average days on market, total active listings, new listings, price increases, price reductions). Attribution: cite any full or partial use of the data to the ‘ residential listings database. ’
MARKET HOTNESS
Market Hotness Index: scores and rankings based on days on market (supply index) and views per property (demand index). Attribution: cite any full or partial use of the data to the ‘ market hotness index’.
Note:
With the release of its October 2019 housing trends report, ® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The new methodology also allows ® to achieve more consistency and stability in measurements across markets and in each market over time. As a result of these changes, the data released since November 2019 will not be directly comparable with previous data releases (files downloaded before November 2019) and ® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology.
DATA DICTIONARY
Inventory
Median Listing Price
The median listing price within the specified geography during the specified month.
Median Listing Price M/M
The percentage change in the median listing price from the previous month.
Median Listing Price Y/Y
The percentage change in the median listing price from the same month in the previous year.
Active Listing Count
The count of active listings within the specified geography during the specified month. The active listing count tracks the number of for sale properties on the market, excluding pending listings where a pending status is available. This is a snapshot measure of how many active listings can be expected on any given day of the specified month.
Active Listing Count M/M
The percentage change in the active listing count from the previous month.
Active Listing Count Y/Y
The percentage change in the active listing count from the same month in the previous year.
Days on Market
The median number of days property listings spend on the market within the specified geography during the specified month. Time spent on the market is defined as the time between the initial listing of a property and either its closing date or the date it is taken off the market.
Days on Market M/M
The percentage change in the median days on market from the previous month.
Days on Market Y/Y
The percentage change in the median days on market from the same month in the previous year.
New Listing Count
The count of new listings added to the market within the specified geography. The new listing count represents a typical week’s worth of new listings in a given month. The new listing count can be multiplied by the number of weeks in a month to produce a monthly new listing count.
New Listing Count M/M
The percentage change in the new listing count from the previous month.
New Listing Count Y/Y
The percentage change in the new listing count from the same month in the previous year.
Price Increase Count
The count of listings which have had their price increased within the specified geography. The price increase count represents a typical week’s worth of listings which have had their price increased in a given month. The price increase count can be multiplied by the number of weeks in a month to produce a monthly price increase count.
Price Increase Count M/M
The percentage change in the price increase count from the previous month.
Price Increase Count Y/Y
The percentage change in the price increase count from the same month in the previous year.
Price Decrease Count
The count of listings which have had their price reduced within the specified geography. The price decrease count represents a typical week’s worth of listings which have had their price reduced in a given month. The price decrease count can be multiplied by the number of weeks in a month to produce a monthly price decrease count.
Price Decrease Count M/M
The percentage change in the price decrease count from the previous month.
Price Decrease Count Y/Y
The percentage change in the price decrease count from the same month in the previous year.
Pending Listing Count
The count of pending listings within the specified geography during the specified month, if a pending definition is available for that geography. This is a snapshot measure of how many pending listings can be expected on any given day of the specified month.
Pending Listing Count M/M
The percentage change in the pending listing count from the previous month.
Pending Listing Count Y/Y
The percentage change in the pending listing count from the same month in the previous year.
Median List Price Per Sqft
The median listing price per square foot within the specified geography during the specified month.
Median List Price Per Sqft M/M
The percentage change in the median listing price per square foot from the previous month.
Median List Price Per Sqft Y/Y
The percentage change in the median listing price per square foot from the same month in the previous year.
Median Listing Sqft
The median listing square feet within the specified geography during the specified month.
Median Listing Sqft M/M
The percentage change in the median listing square feet from the previous month.
Median Listing Sqft Y/Y
The percentage change in the median listing square feet from the same month in the previous year.
Avg Listing Price
The average listing price within the specified geography during the specified month.
Avg Listing Price M/M
The percentage change in the average listing price from the previous month.
Avg Listing Price Y/Y
The percentage change in the average listing price from the same month in the previous year.
Total Listing Count
The total of both active listings and pending listings within the specified geography during the specified month. This is a snapshot measure of how many total listings can be expected on any given day of the specified month.
Total Listing Count M/M
The percentage change in the total listing count from the previous month.
Total Listing Count Y/Y
The percentage change in the total listing count from the same month in the previous year.
Pending Ratio
The ratio of the pending listing count to the active listing count within the specified geography during the specified month.
Pending Ratio M/M
The change in the pending ratio from the previous month.
Pending Ratio Y/Y
The change in the pending ratio from the same month in the previous year.
Hotness
Nielsen HH Rank
The specified zip code, county, or metro area’s rank by household count compared to other zip codes, counties and metro areas. A rank value of 1 is the highest by household count.
Hotness Rank Within County
In the case of a zip code, this metric represents the zip code’s Hotness rank, by Hotness score, compared to all other zip codes within its county. A rank value of 1 is considered the hottest (highest Hotness score).
Hotness Rank Within CBSA
In the case of a zip code or county, this metric represents the zip code or county’s Hotness rank, by Hotness score, compared to all other zip codes or counties within its metro area. A rank value of 1 is considered the hottest (highest Hotness score).
Hotness Rank
The specified zip code, county, or metro area’s Hotness rank, by Hotness score, compared to all other zip codes, counties and metro areas. A rank value of 1 is considered the hottest (highest Hotness score).
Hotness Rank (Prev)
The specified zip code, county, or metro area’s Hotness rank in the previous month.
Hotness Rank (Change)
The change in Hotness rank from the previous month. A positive value indicates that the geography’s Hotness has decreased (moved down in ranking), and a negative value indicates that its Hotness has increased (moved up in ranking).
Hotness Score
The Hotness score is an equally-weighted composite metric of a geography’s supply score and demand score.
Supply Score
The supply score is an index representing a zip code, county or metro’s median days on market ranking compared to other zip codes, counties, or metros.
Demand Score
The supply score is an index representing a zip code, county or metro’s listing page views per property ranking compared to other zip codes, counties, or metros.
Median DOM
Median DOM M/M
The change in days in the median days on market from the previous month.
Median DOM M/M Perc
Median DOM Y/Y
The change in days in the median days on market from the same month in the previous year.
Median DOM Y/Y Perc
Median DOM (vs US)
The median days on market in the specified geography divided by the median days on market for the US overall during the same month.
LDP Unique Viewers Per Property M/M
The change in unique viewers a typical property receives in the specified geography from the previous month.
LDP Unique Viewers Per Property Y/Y
The change in unique viewers a typical property receives in the specified geography from the same month in the previous year.
LDP Unique Viewers Per Property (vs US)
The count of viewers a typical property receives in the specified geography divided by the count of views a typical property receives in the US overall during the same month.
Median Listing Price (vs US)
The median listing price within the specified geography divided by the median listing price for the US overall during the same month.
Quality Flag
Triggered (“1”) when data values are outside of their typical range. While rare, these figures should be reviewed before reporting.
MLS Listings - Data & APIs - Zillow Group

MLS Listings – Data & APIs – Zillow Group

The Bridge Listing Output platform allows brokers and developers to access MLS listing data via a modern RESTful API. The data is returned normalized to the RESO data dictionary standard. All data access is at the discretion of our individual MLS partners in the US and Canada. The platform is currently invite only, so please contact us for the latest list of available MLS integrations.
Documentation URL
Authentication Model
Password and access token authentication
Architectural Style
RESTful
Supported Request Formats
URI Query String
Supported Response Formats
JSON
Agreement Type
TOS

Frequently Asked Questions about real estate listing data

How do you get real estate data?

Websites such as Zillow, Trulia, and Realtor.com collect data from online searches and provide real estate agents with the ability to market to potential home buyers through targeted advertisements and website features. Companies such as SmartZip and Buyside use big data to help real estate agents target leads.

Can you download MLS data?

Please note, the option to download data will only be available if the local MLS allows it. … You can learn more about your local MLS data rules directly from our terms of agreements page. To download data, you will want to scroll to the bottom of the table, and from there click on the ‘Download All’ button.Dec 28, 2019

What is a real estate listing?

An agreement that represents the right of a real estate agent or Broker to handle the sale of real property and to receive a fee or commission for services. There are various types of real estate listings. The agency will receive a commission even if the owner finds the buyer during the time period. …

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