New Real Estate APIs: OMI Quotations, Comparables, and Historical Prices to Enrich Your Real Estate Software

To operate successfully in the modern real estate market—whether in PropTech, agencies, financial institutions, management software, or consulting firms—instant access to precise, up-to-date, and geolocalized data is now essential.

To meet these needs, OpenAPI has enriched its console with three new APIs in the Real Estate category: OMI Real Estate Quotations, Real Estate Valuation Comparables, and Historical Real Estate Values.

These three endpoints allow developers and companies to integrate official data, market comparisons, and historical price series directly into their software, improving valuation accuracy and user experience.

OMI Real Estate Quotations - Italy

The OMI Real Estate Quotations API allows direct access within your systems to the official database of the Revenue Agency's Real Estate Market Observatory (OMI).

By simply sending geographic coordinates (latitude and longitude), the endpoint automatically identifies the corresponding OMI zone and returns minimum and maximum values per square meter, both for sales and rentals.

The service provides a comprehensive information framework for the latest semester, delivering all necessary territorial details such as region, province, municipality, and ISTAT code. Alongside these are the name and description of the specific OMI zone, as well as the prevalent property type. The core of the data addresses economic estimates, featuring minimum and maximum price ranges for both sales and rentals, categorized by different property types and conservative conditions.

This wealth of information makes the API the ideal solution for those looking to automate preliminary appraisals, enrich real estate agency management software, or power automated valuation models (AVM). It also finds perfect application in credit scoring software used in the banking and insurance sectors to evaluate risk on mortgaged assets.

Integration into your systems is immediate and simply requires a GET /IT-omi call specifying the desired geographic coordinates.

Real Estate Valuation Comparables - Italy

Finding similar properties in the same geographic area is essential for estimating the correct market value of a property. The Real Estate Valuation Comparables API allows you to extract in real time a list of similar properties active on the market, sorted by increasing distance from the specified geographic point.

In addition to coordinates and search radius, the call supports advanced filters such as price range, surface area (sqm), number of rooms, bedrooms or bathrooms, and contract type (sale or rent).

The API provides a detailed sheet for each identified property, ranging from property category and type to key economic aspects such as total price and cost per square meter. The response also includes all structural and spatial characteristics of the asset (total area, number of rooms, bedrooms, and bathrooms, alongside technical details such as floor level and elevator presence), completed by the address and all territorial references.

To optimize resource management and user experience, the service integrates a convenient Dry Run feature: a mode that allows you to check in advance the number of listings available in the selected area.

Integration is extremely straightforward: simply send a GET /IT-comparable request specifying the coordinates of the point of interest, the search radius in meters, and the contract type.

Historical Real Estate Values - Italy

To understand a market's trajectory or predict future developments, analyzing current data is not enough: it is necessary to analyze price trends over time. The Historical Real Estate Values API provides access to the history of average monthly prices per square meter (for sales and rentals) at the municipal level.

The service guarantees an extended time depth starting from March 2018, allowing you to track multi-year trends with maximum precision.

The API returns a structured overview starting with geographic context (providing municipality, province, and ISTAT code) and specifies the chosen reference market, whether sales or rentals. The core information consists of a detailed time series in array format, mapping the historical evolution of values by presenting the relative average price per square meter for each month and year.

This historical depth makes the API an essential tool for creating advanced Market Intelligence reports, preparing financial analyses for complex real estate portfolios, managing investment dashboards, and accurately calculating expected yields.

Integration is simple and immediate: just set up a GET /IT-avg_sqm_value_history call indicating the location and time range of interest via dedicated parameters.

Why Integrate OpenAPI's New Real Estate APIs?

The APIs guarantee an instant response, allowing you to integrate dynamic and real-time functionality directly into your applications, portals, or management software.

To facilitate testing and development, 30 free requests per month are included, accompanied by clear, transparent pay-as-you-go pricing models designed to scale seamlessly with your call volume.

Rounding out the offering is ease of integration, featuring centralized documentation and a clean, consistent, and standardized JSON data structure that significantly speeds up and simplifies developer workflows.

Browse the complete documentation and run your first tests!