Addresses, titles, prices, rents, planning, ownership, constraints, sourcing, and more. The most powerful property API in the UK, optimised for AI agents and automation.
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Land Registry, Ordnance Survey, Royal Mail, Valuation Office Agency, MHCLG & 20 more sources
Select a use case to see the relevant API endpoints.
Feed your agents with deterministic property data. No hallucinations, just facts.
Machine-readable responses with consistent structure. No ambiguity.
24+ data sources normalised and combined. One API, complete coverage.
Normalised entities suitable for copilots and automated workflows.
Sourced from official registers. Minimise hallucinations with verified facts.
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Resolve addresses and property identifiers
Physical property data and EPCs
Asking prices, sold prices, and valuations
/demand
Determine local property sales demand
/growth
Up to 7-year capital growth
/growth-psf
Up to 7-year growth per square foot
/prices
Live local asking prices
/prices-per-sqf
Live local asking £/sqft
/sold-prices
Local property sold prices
/sold-prices-per-sqf
Local property sold £/sqft
/valuation-historical
Estimate the value of a property on a date in the past
/valuation-sale
Sale valuation for a property
Rental prices, yields, and HMO data
/demand-rent
Determine local property rental demand
/lha-rate
The LHA rate for a given postcode / property size
/rents
Live local long-let asking rents
/rents-commercial
Commercial property quoting rents
/rents-hmo
Live local HMO asking rents
/valuation-hmo
Sale and gross rental valuations for an HMO
/valuation-rent
Rental valuation for a property
/yields
Determine local rental yields
Planning applications and designations
/aonb
Check if a location is within an Area of Outstanding Natural Beauty
/conservation-area
Is postcode within a conservation area
/flood-risk
Risk of flooding from rivers/sea for an English postcode
/green-belt
Is postcode within the green belt
/listed-buildings
Local listed buildings
/national-hmo-register
Search the national register of HMOs
/national-park
Is postcode within a national park
/planning-applications
Local planning applications
GDV, build costs, and site analysis
/build-cost
Calculate building costs for construction in a full UK postcode
/development-calculator
Calculate how much profit a development will make
/development-gdv
Estimate gross development value for a development
/site-plan-documents
Purchase an A4 scale site plan which can be used for planning applications
Demographics, crime, schools, and amenities
/agents
See local estate agent market share
/area-type
Determine the type of area, e.g. rural or urban, in which a postcode resides
/council-tax
Average council tax bills in an area
/crime
See analytics data on local crime
/demographics
See local population demographics data
/household-income
Get the average household income for an area of interest
/internet-speed
Internet speeds for a full UK postcode
/politics
Information about constituency and recent results
/population
Get population, household and density information for an area of interest
/postcode-key-stats
Key stats for all postcode districts in a region
/ptal
PTAL score for a Greater London postcode
/restaurants
Nearby restaurants
/schools
Nearby schools
Titles, freeholds, and Land Registry
Deal sourcing and property lists
Calculators and financial utilities
AI-powered property research
Trusted by hundreds of PropTech companies
Get started with our comprehensive documentation or sign up for API access.
An API (Application Programming Interface) is a way for software developers to connect their own applications directly to PropertyData. If you're a developer building property-related software, the API lets your code fetch our data automatically. If you're not a developer and just want to research property data yourself, you'll find our main web app much more useful — no coding required.
Our API provides comprehensive UK property data organised into logical categories: address resolution and property identifiers, market prices and valuations, rental data and yields, planning applications and constraints, development feasibility tools, location demographics, land ownership information, and more.
All endpoints return structured JSON. Many endpoints support UPRN (Unique Property Reference Number) lookups for precise property identification.
Look no further than the PropertyData API for the most comprehensive set of API endpoints for the UK property market. With an extensive collection of data sources exposed via the API, you can find valuable information to inform your property investment decisions.
Like our web app, our JSON API is designed to support the three main parts of property investing:
Whether dealing with thousands or just a few properties, using our API to make your processes more accurate and simpler.
The power of PropertyData is grounded in the work we do to source, clean up and constantly refresh data from 24+ different sources, so that you don't have to. We believe in data transparency so we always credit the source data and history clearly.
Utilising Property Data API can give property professionals a competitive edge in today's market. We are committed to ensuring that users can access only trustworthy information via our API. Our team regularly refines our data collection techniques and quality control procedures, so clients can rely on us to present comprehensive details about their properties.
It is our aim to provide data coverage of all four countries of the United Kingdom, although this is not always possible due to source limitations. On this page you can see exactly which types of data cover which areas.
The PropertyData API is offered on a range of flexibly monthly subscription plans, based on your requirements.
Each plan includes a maximum number of monthly API credits, as well as a rate limit. You can upgrade or downgrade flexibly at any time, or pay for a year in advance for an 8% discount.
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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 2025-12-24, 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 2025-12-24, 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.
