Licensing & caching

This page summarises what you may do with data retrieved from the PropertyData API. It is a plain-English summary of our terms & conditions, which are what actually apply. Almost every licensing question we are asked is answered here, so please read it before writing to us. If your case genuinely is not covered, tell us what you are building and we will answer.

What you may build

An API subscription lets you use our data for any lawful purpose, commercial or non-commercial. That expressly includes putting our data inside a product of your own, showing it to your registered or paying customers, and including it in reports you generate for them. Using the API inside a customer-facing, multi-tenant, paid SaaS product is permitted on every plan.

You do not need our permission, a separate commercial agreement, a redistribution licence or a particular plan tier to do any of this. There is no field we return that you are barred from showing to your users, and no limit on how many customers you have, how many records you display, or how many reports or exports you produce. Your monthly credit allowance is the only limit on how much data you can retrieve.

The one restriction is that you may not publish, sell, license or distribute our data as a product or service that consists substantially of our data without enhancement or added value. The question is whether our data is an input to something of your own making, or whether it is essentially the thing you are selling. Republishing our data as a dataset, download, feed or API of your own is not permitted, and neither is building a searchable copy of it that people can query instead of subscribing to us.

Caching: the 60-day rule

You may store what an API call returns for up to 60 days from the moment you retrieved it. At the end of the 60 days you must either delete that stored copy or replace it by making a fresh call. The 60 days runs from retrieval and is not shortened by your subscription later ending.

The purpose of the limit is to stop the API being used to assemble a standing copy of our data that is then served to other people in place of calling us, which the licences we hold from our own data suppliers do not permit. A useful way to think about it: over time, showing a piece of current data to one of your users should broadly correspond to one call to our API for that data. The call does not have to happen while they are looking at it, and caching within the 60 days so you are not repeatedly asking us for the same thing is exactly what the allowance is for.

We are not able to offer a longer caching period, on any plan, at any price, or under any separate licence.

What you may keep for longer than 60 days

The 60-day limit applies to our data held as current information. It does not stop you keeping a permanent record of what we told you and when, and it does not restrict what you build out of it. Provided you never present it as current, you may keep indefinitely:

  • a dated snapshot of what a call returned for a particular property, such as a valuation, asking price, listing status or set of attributes, held as part of that property's history or of an individual user's history in your application;
  • reports, exports and documents you have already produced for your customers, containing figures that were current when they were produced;
  • events you derive by comparing successive calls, for example "first seen", "price reduced", "returned to market" or "no longer listed";
  • aggregate figures you calculate, such as averages, ranges, benchmarks and indices, and anything you publish from them;
  • your own scores, classifications and derived attributes;
  • provenance and audit information, such as the parameters you queried, the date of retrieval, sample sizes and your methodology; and
  • the PropertyData identifiers you need in order to query the same property again later.

Two conditions apply to all of that. It must be clearly marked as a historical observation and show the date it was retrieved. And it must not be used to answer a question about the present: if your product tells a user what a property is worth, what it is listed at, or whether it is still on the market today, that answer must come from a call made within the last 60 days, not from your historical record.

Attribution

Attribution is not required for anything you build on the API. Naming us as the source is good practice and always appreciated; ask us and we will send you a logo and suggested wording. Screenshots and PDF downloads taken from our website are different, and must acknowledge PropertyData as the source.

Listing links and photographs

Where the API returns a link to an original property listing, it is a forwarding link on the PropertyData domain rather than the portal's own address. You may show these links to your users, and we recommend that you do.

We hold no rights in listing photographs. The image URLs we return point to files hosted by third parties, and our terms permit you nothing in respect of them: displaying, hotlinking, copying, storing and creating thumbnails are all matters between you and whoever owns the image, on which you should take your own advice. Omitting the image and linking to the original listing instead is the approach we recommend.

Bulk data and general listings

Because we licence much of our data in from third parties, we do not sell or licence out raw datasets, bulk extracts, data dumps or update feeds, and we cannot make an exception. The API, a request at a time, is how we make data available. We can sometimes take on a bespoke data project, such as appending our data to a list of addresses you supply.

For the same reason we do not offer a general property listings feed. The sourcing endpoints return only the properties matching one of our specific investment strategies, which is a transformed subset of the market rather than a copy of the portals. If you need comprehensive listings data, you need to go to the portals directly.

Personal data

Some of what we return, such as title ownership information, includes other people's personal data. Once we have supplied it to you, you decide what you do with it and you are its controller from that point. You must have your own lawful basis for using it. See our privacy policy for how we handle personal data.

When your access ends

If you cancel, or we close your account, each piece of data you have already retrieved reaches the end of its 60 days as normal and must then be deleted. You may keep the historical records and derived material described above, and any reports you had already produced, but you may not use them to present current information, and you may not continue to serve our data to others without an active subscription.

How PropertyData can help you

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Some of the ways property investors use PropertyData to boost their returns

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How property developers can use market research in decision-making

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Transparent data promise

Where does the raw data come from?

Property listings seen on rightmove.co.uk, zoopla.co.uk and onthemarket.com.

How often is the data updated?

The data is updated in near real-time.

What time period does the data cover?

This is a real-time market snapshot - the data covers currently listed properties. Once properties are removed from the portal, they are soon removed from this tab.

How is the raw data processed?

Duplicates from multiple sources are matched and reconciled as far as possible. Listings with obvious errors, where price or number or bedrooms appear out of range, are discarded.

What are the statistics used?

Averages shown are the interquartile mean, a type of average that is insensitive to outliers while being its own distinct parameter. The 80% range means that 80% of the listed properties fall inside this range.

Where does the raw data come from?

Property listings seen on rightmove.co.uk, zoopla.co.uk and onthemarket.com.

How do you know the square footage of properties?

We use proprietary technology to read the square footage of properties from agent floorplans. Although we cannot determine the square footage for all properties, we can usually get sufficient coverage. Agents are sometimes known to inflate square footage, and this should be borne in mind as a weakness of this data.

How often is the data updated?

The data is updated in near real-time.

What time period does the data cover?

This is a real-time market snapshot - the data covers currently listed properties. Once properties are removed from the portal, they are soon removed from this tab.

How is the raw data processed?

Duplicates from multiple sources are matched and reconciled as far as possible. Listings with obvious errors, where price or number or bedrooms appear out of range, are discarded.

What are the statistics used?

The average shown is the interquartile mean, a type of average that is insensitive to outliers while being its own distinct parameter. The 80% range means that 80% of the listed properties fall inside this range.

Where does the raw data come from?

Property "price paid" data provided by the Land Registry.

How often is the data updated?

Once per month when released by the Land Registry, typically towards the end of each calendar month covering up to the end of the previous calendar month.

What time period does the data cover?

You can customise the time period using the filter at the top of the view. The default time period is up to 9 months back from today's date. The latest data covers the period up to 2026-06-30, although some sales that took place before this date may still be added in the coming months.

How is the raw data processed?

No additional processes are applied to this data.

What are the statistics used?

Averages shown are the interquartile mean, a type of average that is insensitive to outliers while being its own distinct parameter. The 80% range means that 80% of the listed properties fall inside this range.

Where does the raw data come from?

Property "price paid" data provided by the Land Registry, and Energy Performance Certificate (EPC) data provided by MHCLG.

How do you know the square footage of properties?

We match the Land Registry data to EPC data provided by MHCLG. Due to the fact that not all properties sold have had an EPC and vagaries of addressing in the UK, we are not able to determine the square footage of all properties, but we can usually get sufficient coverage.

How often is the data updated?

The private paid data is updated once per month when released by the Land Registry, typically towards the end of each calendar month covering up to the end of the previous calendar month. The energy performance certificate database is updated monthly.

What time period does the data cover?

You can customise the time period using the filter at the top of the view. The default time period is up to 9 months back from today's date. The latest data covers the period up to 2026-06-30, although some sales that took place before this date may still be added in the coming months.

How is the raw data processed?

No additional processes are applied to this data.

What are the statistics used?

The average shown is the interquartile mean, a type of average that is insensitive to outliers while being its own distinct parameter. The 80% range means that 80% of the listed properties fall inside this range.

Where does the raw data come from?

Property listings seen on rightmove.co.uk, zoopla.co.uk and onthemarket.com.

How often is the data updated?

The data is updated in near real-time.

What time period does the data cover?

This is a real-time market snapshot - the data covers currently listed properties. Once properties are removed from the portal, they are soon removed from this tab.

How is the raw data processed?

Duplicates from multiple sources are matched and reconciled as far as possible. Listings with obvious errors, where price or number or bedrooms appear out of range, are discarded.

What are the statistics used?

The average shown is the interquartile mean, a type of average that is insensitive to outliers while being its own distinct parameter. The 80% range means that 80% of the listed properties fall inside this range.

Where does the raw data come from?

Room let listings on SpareRoom, the UK's biggest room letting website.

How often is the data updated?

The data is updated in near real-time.

What time period does the data cover?

This is a real-time market snapshot - the data covers currently listed properties. Once properties are removed from SpareRoom, they are soon removed from this tab.

How is the raw data processed?

Listings with obvious errors, where price or number or bedrooms appear out of range, are discarded.

What are the statistics used?

The average shown is the interquartile mean, a type of average that is insensitive to outliers while being its own distinct parameter. The 80% range means that 80% of the listed properties fall inside this range.

Where does the raw data come from?

Property listings seen on rightmove.co.uk, zoopla.co.uk and onthemarket.com.

How often is the data updated?

The data is updated in near real-time.

What time period does the data cover?

This is a real-time market snapshot - the data covers currently listed properties. Once properties are removed from the portal, they are soon removed from this tab.

How is the raw data processed?

Duplicates from multiple sources are matched and reconciled as far as possible. Listings with obvious errors, where price or number or bedrooms appear out of range, are discarded. Yields are calculated by comparing only properties with the same number of bedrooms, e.g. 3-bedroom properties for rent with 3-bedroom properties for sale.

What is the yield calculation used?

The calculation used is (average_weekly_asking_rent * 52 / average_asking_price), expressed as a percentage. It is a top-line gross yield, meaning no expenses are considered.

What are the statistics used?

The average shown is the interquartile mean, a type of average that is insensitive to outliers while being its own distinct parameter. The 80% range means that 80% of the listed properties fall inside this range.

Where does the raw data come from?

Property listings seen on rightmove.co.uk, zoopla.co.uk and onthemarket.com.

How often is the data updated?

The data is updated in near real-time.

What time period does the data cover?

This is a real-time market snapshot - the data covers currently listed properties. Once properties are removed from Zoopla, Rightmove or Spareroom, they are soon removed from this tab.

How is the raw data processed?

Duplicates from multiple sources are matched and reconciled as far as possible. Yields are calculated by comparing only properties with the same number of bedrooms, e.g. 3-bedroom properties for rent with 3-bedroom properties for sale. For the SpareRoom data, hypothetical properties consisting of two to six average double rooms with shared bathrooms are used to derived average rent. For all sources, listings with obvious errors, where price or number or bedrooms appear out of range, are discarded.

What is the yield calculation used?

The calculation used is (average_weekly_asking_rent * 52 / average_asking_price), expressed as a percentage. It is a top-line gross yield, meaning no expenses are considered.

What are the statistics used?

The average shown is the interquartile mean, a type of average that is insensitive to outliers while being its own distinct parameter. The 80% range means that 80% of the listed properties fall inside this range.

Where does the raw data come from?

Property "price paid" data provided by the Land Registry.

How often is the data updated?

Once per month when released by the Land Registry, typically towards the end of each calendar month covering up to the end of the previous calendar month.

Zoopla Zed-index

What time period does the data cover?

The data covers transactions in the last six years

How is the raw data processed?

No additional processes are applied to this data.

What are the statistics used?

The average shown is the interquartile mean, a type of average that is insensitive to outliers while being its own distinct parameter. The 80% range means that 80% of the listed properties fall inside this range.

Where does the raw data come from?

Property listings seen on rightmove.co.uk, zoopla.co.uk and onthemarket.com.

How often is the data updated?

The listings data is updated in near real-time. The Land Registry data is updated once per month when released, typically towards the end of each calendar month covering up to the end of the previous calendar month.

What time period does the data cover?

The price paid data shown goes back to January 2015. The listings data is a real-time market snapshot - the data covers currently listed properties. Once properties are removed from the portal, they are soon removed from this tab.

How is the raw data processed?

Duplicates from multiple sources are matched and reconciled as far as possible. Listings with obvious errors, where price or number or bedrooms appear out of range, are discarded.

What are the calculations used?

Average sales per month are for the last 3 finalised months. Turnover is average sales per month divided by total for sale. Inventory is 100 divided by turnover.

Where does the raw data come from?

Property listings seen on rightmove.co.uk, zoopla.co.uk and onthemarket.com.

How often is the data updated?

The listings data is updated in near real-time. The Land Registry data is updated once per month when released, typically towards the end of each calendar month covering up to the end of the previous calendar month.

What time period does the data cover?

This is a real-time market snapshot - the data covers currently listed properties. Once properties are removed from the portal, they are soon removed from this tab.

How is the raw data processed?

Duplicates from multiple sources are matched and reconciled as far as possible. Listings with obvious errors, where price or number or bedrooms appear out of range, are discarded.

Where does the raw data come from?

We receive data on the extent and corporate ownership of all land titles in England & Wales from the Land Registry.

How often is the data updated?

The data is updated once per month when released, typically in the first few days of each calendar month.

What time period does the data cover?

This is an ownership snapshot - the data represents ownership as recorded by the Land Registry at the last monthly export.

How is the raw data processed?

No additional processes are applied to this data.

Where does the raw data come from?

We source different expert forecasts Savills, Knight Frank, OBR

How often is the data updated?

The data is updated annually when new forecasts are released, typically towards the beginning of the year.

How is the raw data processed?

We calculate a consensus forecast using a simple mean average.

Where does the raw data come from?

Quoting rent data is a proprietary data set based on the 2026 Valuation Office Agency (VOA) rateable values, combined with floor area data from MHCLG, adjusted for current market conditions.

What does "Quoting Rent" mean?

Quoting Rent reflects the estimated headline rent a property would achieve, based on official valuations adjusted for current conditions. This is the "face value" rent before any incentives such as rent-free periods, stepped rents or capital contributions are taken into account.

How is the floor area determined?

Floor areas are derived from MCHLG data. We use NIA (Net Internal Area) for retail, offices and leisure; GIA (Gross Internal Area) for industrial.

How often is the data updated?

The VOA data is based on the 2026 rating list, which is turn is based on 2024 comparables. This will be updated when a newer rating list is available. MCHLG data is updated regularly as new certificates are issued.

How is the raw data processed?

Multiple data sources are matched and reconciled. Properties are grouped by type, and outliers are excluded from averages.

What are the statistics used?

Averages shown are the interquartile mean, a type of average that is insensitive to outliers while being its own distinct parameter.

Where does the raw data come from?

This tab combines data from multiple sources. The bedroom distribution comes from property listings on rightmove.co.uk, zoopla.co.uk and onthemarket.com. Internal area and energy scores come from Energy Performance Certificate (EPC) data provided by MHCLG. Property type data comes from the Office for National Statistics Census.

How often is the data updated?

The bedroom distribution from listings is updated in near real-time. The EPC data is updated monthly. The Census data is updated when new census results are released.

What time period does the data cover?

The bedroom distribution is a real-time market snapshot of currently listed properties. The EPC data covers certificates issued since the scheme began. The Census data is from the most recent census.

How is the raw data processed?

For listings data, duplicates from multiple sources are matched and reconciled. Listings with obvious errors are discarded. EPC and Census data is aggregated to the selected area.

Where does the raw data come from?

Tenure type and occupancy data comes from the Office for National Statistics Census.

How often is the data updated?

The data is updated when new census results are released, typically every 10 years.

What time period does the data cover?

The data is from the most recent census.

How is the raw data processed?

Census data is aggregated to the selected area. National averages are provided for comparison.

Where does the raw data come from?

Property listings seen on rightmove.co.uk and onthemarket.com.

How often is the data updated?

The data is updated in near real-time.

What time period does the data cover?

This is a real-time market snapshot - the data covers currently listed properties. Once properties are removed from the portal, they are soon removed from this tab.

How is the raw data processed?

Agent names are normalised across sources. Listings are grouped by agent and ranked by number of live listings.

Where does the raw data come from?

Property listings seen on rightmove.co.uk and onthemarket.com.

How often is the data updated?

The data is updated in near real-time.

What time period does the data cover?

This is a real-time market snapshot - the data covers currently listed properties. Once properties are removed from the portal, they are soon removed from this tab.

How is the raw data processed?

Agent names are normalised across sources. Listings are grouped by agent and ranked by number of live listings.

Total Floor Area (TFA)

Total Floor Area is a measurement defined by MHCLG (Ministry of Housing, Communities and Local Government).

TFA includes all habitable rooms, kitchens, bathrooms, internal corridors, hallways, and built-in storage.

TFA excludes garages, external stores, and unheated conservatories.

Estimated value

This figure is our best estimate of the current value of this property.

It is calculated using the most recent transaction and the most recent internal area figures, combined with local market data and price indices.

Estimate confidence

The confidence level indicates how reliable our estimated value is likely to be for this property.

High

The property has sold recently, so the estimate is based on a known sale price adjusted for current market conditions.

Medium

The property has not sold recently, so the estimate relies more heavily on comparable local data and may be less precise.

Habitable rooms

Habitable rooms include any living room, sitting room, dining room, bedroom, study and similar; and also a non-separated conservatory. A kitchen/diner having a discrete seating area (with space for a table and four chairs) also counts as a habitable room.

A non-separated conservatory adds to the habitable room count if it has an internal quality door between it and the dwelling.

Excluded from the room count are any room used solely as a kitchen, utility room, bathroom, cloakroom, en-suite accommodation and similar and any hallway, stairs or landing; and also any room not having a window.

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