Property Market Insights from Zoopla Live (Aggregated):

Discover valuable property market insights with our data product sourced from Zoopla Live, one of the UK's premier aggregators of property listings data. Gain access to a comprehensive dataset containing information on 27,000,000 homes, up to 1,000,000 property listings,.

The Urban Big Data Centre (UBDC) systematially collects daily property listings from Zoopla across the entire UK since 2017; and each year, we process and consolidate the collected data into yearly aggregated and harmonized 'analysis-ready' datasets.

Researchers can utilize this dataset to unlock meaningful insights into the property market.

Please note that additional daily data from Zoopla can be made available upon request if the provided aggregated product does not meet specific research requirements. Additionally, it's essential to be aware that each Zoopla year spans 18 months, from the 1st of Oct of the previous year until the 31st of March of the following year.

UBDC’s Zoopla data collection is a dataset that covers housing data since 2017, covering the area of Great Britain. UBDC has an agreement with Zoopla and has access to current property listings via Application Programming Interface (API). We have been collecting the listings since August 2016.

UBDC can provide Live Collected Aggregated Data: Aggregated (yearly) data made from Live Collected data. The Zoopla year is +/- 3 months for each year(= zoopla year 18 months) The collection requires unique property id in the API request.

We have also set up an email discussion list on housing data and related issues that you can join via the JISCMail website:

https://www.jiscmail.ac.uk/cgi-bin/webadmin?A0=UBDC-HOUSING-DATA

Note: In accessing this data, you agree that any downloading of content is for non-commercial reference only. No part of these materials may be used for any other purpose or reproduced or transmitted in any form or by any means, electronic, mechanical, photocopying, recording or otherwise without the prior consent of the University of Glasgow.

Data is Zoopla Property Group PLC, © 2023, processed by Urban Big Data Centre, University of Glasgow

Details of the data available via Zoopla’s Application Programming Interface (API) can be found at

http://developer.zoopla.com/

The Zoopla Dataset provides a detailed repository of information covering property listings available on the Zoopla platform. Tailored to support businesses, researchers, and analysts in the real estate sector, this dataset delivers valuable insights into market trends, property valuations, and consumer preferences within the real estate market.

With key attributes such as property details, pricing data, location information, and listing history, users can conduct thorough analyses to refine property investment strategies, assess market demand, and identify emerging trends.

Whether you're a real estate agent seeking to enhance your property listings, a researcher investigating trends in the housing market, or an analyst aiming to refine investment strategies, the Zoopla Dataset serves as an essential resource for unlocking opportunities and driving success in the competitive landscape of real estate

The Multiple Listing Service (MLS) Listing Software market is projected to expand dramatically in the coming years. The market was valued at USD 231.5 million in 2025 and is estimated to reach USD 638.3 million by 2033, exhibiting a CAGR of 9.1% during the forecast period. The growing adoption of cloud-based technologies, mobile devices, and big data analytics for real estate management is a key driver of the market's growth. Additionally, the increasing demand for efficient property management solutions to streamline workflows and enhance productivity is further fueling market expansion. The market is fragmented, with several key players offering a range of solutions. Some of the prominent companies in the MLS Listing Software market include Zillow, Realtor.com, Rightmove, Trulia, Redfin, Apartment Finder, HotPads, LoopNet, Apartments.com, Zoopla, Rent.com, Auction.com, and others. The market is characterized by intense competition, with vendors focusing on innovation and differentiation to gain a competitive edge. The adoption of advanced technologies such as artificial intelligence (AI) and machine learning (ML) is also expected to transform the market landscape. These technologies offer enhanced property search capabilities, personalized recommendations, and predictive analytics, enabling real estate professionals to make informed decisions and optimize their operations.