How to Build Powerful Applications with CASAFARI’s Property Data APIs

CASAFARI’s Property Data APIs and Casafari MCP provide AI engineers and developers with clean, deduplicated data across 50+ million unique properties, processed from 200+ million listings across 30,000+ sources. Covering 16 countries—and entering the United States in selected states for commercial real estate only via Claro AI—these APIs power property sourcing, valuations, market analytics, and autonomous AI agents with accurate real-time market intelligence.

What is a property data API used for in real estate?

An API (Application Programming Interface) acts as a bridge that allows different systems to communicate automatically.

Property data APIs provides access to reliable information such as property history, comparables, market analytics, and location intelligence. Our operations are scalable, therefore, the data coverage and depth can span broad markets or highly specific niches.

This specifically enables developers to explore CASAFARI API use cases, integrate data instantly, and scale their technology. Because of this accurate and up-to-date data, they can build powerful tools across numerous applications.

What does CASAFARI’s property data API provide?

• A full property listing inventory across 16 countries.
• In addition, detailed information for each property, including exact location, characteristics, energy rating, and complete historical records of price and status changes.
• Furthermore, property performance metrics, such as time on the market, fair market value, and gross rental yield.
• Moreover, visibility on where else the property was listed across all portals, classifieds, and agency websites.
• Also included are comparable properties and instant property valuations.
• Beyond that, historical insights, such as asking and closing prices, stock, liquidity, and rental yields — as time series and heatmaps.
• Next, catchment analysis that automatically calculates time to travel by foot, bicycle, car, bus from the property as a starting point.
• Additionally, neighbourhood analysis with Points of Interest around the property.
• Finally, business location planning for new units with mobility and tourist data, and socio-demographic information around any property.

The advantages of CASAFARI’s property data API as an AI data integration platform

Our mission: we bring transparency to the opaque real estate markets. Therefore, we build the most complete and accurate real estate database and, in consequence, we organise chaos into an ecosystem. We make our datasets available to the market through multiple interfaces, for example, property data APIs. Ultimately, everyone who seeks transparency and accurate data in the built world benefits from our comprehensive and accurate datasets. So, why are our property data APIs so powerful?

AI-powered property data API – engineered for completeness and accuracy

To ensure completeness and accuracy across data from 30,000+ sources, CASAFARI runs AI-native data pipelines. Our system continuously indexes, ingests, cleans, and normalises listings, updating our dataset every minute. In addition, our infrastructure uses AI for indexing and ML models to normalise unstructured data. As a result, we unify fragmented and scattered heterogeneous data by deduplicating listings of the same property into a single entity.

On top of this unified data layer, we deploy multiple algorithms to generate actionable insights through the property data APIs. For example, scoring models produce hyper-relevant comparables. Furthermore, property valuations provide FMV (Fair Market Value) and rental yield estimates for any listing. Similarly, market analytics leverage algorithms for outlier exclusion, time series, and heatmaps.

CASAFARI Property Data API operates as a next-generation meta-search engine. Specifically, we aggregate listings from thousands of sources into unique property entities. This is crucial when the same property appears on multiple sources with differing photos, prices, sizes, types, or conflicting location information.

Property Data APIs as an AI data integration platform

CASAFARI’s property data APIs and MCP turn our engine into an AI data-integration platform. We give AI engineers direct access to complete, clean, deduplicated, and continuously updated property data. Instead of spending months on data ingestion, scraping, normalization, and so on, developers can instantly plug into a unified, production-grade dataset designed for AI applications.

A clean, unified data layer ready for AI workloads

All data delivered through CASAFARI’s property data API endpoints is pre-processed and ready for ML models, LLMs, or AI agents. The platform exposes:

• Deduplicated listings resolved into unique property entities
• Multimodal features: text, numerical data, geospatial signals, historical records, and images
• Time-series price and market dynamics
• Up-to-date listing data, where new listings and price changes show in each property’s record and history when you query the API
• Location intelligence, POIs, mobility and visitor data grouped by residents and tourists, and socio-demographic layers
• Comparable-property vectors, valuations, and performance scores

This creates an AI-ready “source of truth” for any model or application that needs reliable, real-world property context.

Built for modern AI workflows

When choosing between Claro, the MCP server and the REST API, CASAFARI’s property data API and MCP integration fits seamlessly into AI engineering workflows, enabling developers to:

• Inject structured property context into LLMs via APIs or MCP tools
• Build property valuations, sourcing, or risk models
• Feed time-series real estate market data into predictive models (pricing, liquidity, supply/demand)
• Run geospatial reasoning from unified location and catchment datasets
• Automate decision pipelines (gross yields, fair market value, location and property scoring, site selection)
• Power agentic applications that monitor the market and trigger workflows autonomously

Data is delivered in formats easy to consume for any applications, agent frameworks, and Business Intelligence systems.

Integration layer for AI agents and copilots

With CASAFARI’s property data APIs and MCP, AI agents or copilots can:

• Search for properties with precise filters
• Query the latest prices, history, or valuations
• Compare listings and retrieve the biggest selection of relevant comps nearby
• Retrieve neighbourhood-level insights updated daily
• Evaluate true investment potential based on real-time market data
• Generate reliable C-level ready summaries and market reports

Consequently, this makes CASAFARI “the source of truth for the built world.” In fact, it acts as a domain-specific knowledge module. Thus, any application or LLM can call it in real time, allowing AI systems to reason over verified data instead of hallucinating.

Production-grade infrastructure

CASAFARI’s pipelines run continuously, delivering minute-level updates to ensure every API call hits fresh, consistent data. Developers get:

• High-volume throughput – the API can handle large numbers of requests at once, so AI applications can query thousands of properties without delays.
• Low-latency endpoints – responses come back almost instantly, enabling real-time or near-real-time data access for models, dashboards, and AI agents.
• Strong data contracts – predictable, reliable, and documented data, with stable schemas, validated fields, versioned updates, and clear error handling.
• Stable schemas optimised for ML consumption – data structures are consistent and designed for direct use in AI applications or BI systems.

This allows engineers to confidently build production AI services without managing their own data cleansing, deduplication, or monitoring stack.

Broad coverage across markets and asset classes

Our location and property data APIs connect to the most comprehensive real estate database and location intelligence across 16 countries across continents.

CASAFARI’s geographic data coverage: Europe: Andorra, Austria, Belgium, France (including Guadeloupe, Martinique, French Guiana, Réunion, Mayotte), Germany, Greece, Italy, Luxembourg, Monaco, Poland, Portugal (including Azores and Madeira), San Marino, Spain (including Balearic Islands and Canary Islands), Switzerland. Middle East: United Arab Emirates. United States: entering now, selected states, commercial real estate only, via Claro AI.

With data sourced from over 30,000 sources and 200+ million listings, we offer access to a complete view of each market – in any asset class.

All asset classes covered: Apartment – Apartment, Studio, Duplex, Penthouse, Attic apartment, Floor apartment, Ground floor apartment. House – House, Country House, Palace, Townhouse, Villa, Country Estate, Chalet, Bungalow, Single-family house, Two-family house, End townhouse, Middle townhouse. Commercial – Commercial, Retail, Restaurant, Office, Hotel, Other commercial, Garage, Parking. Industrial – Industrial, Warehouse, Workshop. Plot – Rural Plot, Urban Plot (Residential, Commercial, Mixed). Building – Building, Apartment Building, Office Building, Mixed-use Building. Investment properties. New Development projects. Room as individual rental units. Agricultural farms.

Our platform supports multiple use cases, including property sourcing, property valuation, investment analysis, site selection, retail expansion, and franchise network growth. Furthermore, as we are continuously expanding our geographic coverage, data and asset-class depth, we add more use cases. However, our priority remains making the most comprehensive and up-to-date property data API and Location Intelligence always available to our customers worldwide.

Property Data APIs are easy to integrate

Accessing our AI data integration platform is simple: just integrate our property data API or Casafari MCP into your CRM, BI platform, AI copilot, or analytics dashboard. Our full CASAFARI developer documentation will guide you through integration.

For added support, we provide dedicated technical support through a private Slack channel, ensuring your engineers and analysts can get real-time help during implementation and beyond.

CASAFARI property data APIs: key use cases

1. Property Sourcing API

Property Sourcing API is your gateway to the most complete real estate database across continents.

The Property Sourcing API gives programmatic access. Specifically, the deduplicated database holds 50 million unique assets. These assets are collected from over 30,000 sources. Crucially, this covers 16 countries. In contrast, traditional feeds show duplicates or incomplete data. Therefore, this API delivers a unified, clean market view. In other words, each property appears just once. Furthermore, it includes its complete historical timeline.

Data Coverage, Depth and Scale:

• Cross-border European and international market reach
• Broad cross-border European and international listing coverage
• Multi-source aggregation (portals, agencies, MLS systems, bank REO, auctions, private sellers)
• All asset classes covered

Property Details, Features & Attributes:

• Structural details and property condition.
• Features, amenities and licences
• Financial metrics: Asking price, price per sqm, complete price history with all changes and dates, last price change amount and date, estimated rental yield, projected rental price
• Energy rating
• Market intelligence: Time on market (days/months), first listed date, property status (active/sold/reserved/delisted), listing source and portal information, seller type (professional agent/private FSBO/bank-owned), seller contact details, agency information, exclusivity status, auction status, commission sharing availability (CASAFARI Connect)
• Location data: Street-level addresses or Exact Location, coordinates (latitude/longitude), cadastral references (selected markets), neighborhood/district/municipality hierarchy
• Historical provenance: Complete timeline since first market entry, all relisting events, every source that has listed the property with specific prices per source, full price evolution with dates
• Visual content and text (with respect to the Copyright Law in each country): thumbnails and URLs to photo galleries, AI-generated property descriptions.

Advanced Filtering Capabilities (30+ filters):

• Geographic: Country, region, city, district, neighborhood, street-level, custom boundary drawing, circle radius (50m-50km), multiple locations simultaneously (up to 10), GPS-based proximity search
• Property type: Filter by specific types (apartment, house, villa, penthouse, duplex, studio, retail, office, warehouse, hotel, restaurant, plot, etc.) and subtypes
• Price: Min/max price range, price per sqm range, recent price changes (increases/decreases), underpriced properties, price evolution patterns
• Size: Total area, useful area, plot area ranges, room count, bedroom count (0-10+), bathroom count
• Age & condition: Construction year range, property condition filters (new, used, excellent, ruin, renovation needed)
• Features: Must-have characteristics, exclude characteristics, specific amenity combinations (e.g., “parking + terrace + elevator”)
• Seller type: Private sellers (FSBO), professional agents, bank-owned (REO), auction properties, commission-sharing available
• Market status: Active listings, recently sold/rented, recently delisted, new listings (within X days), price reductions, time-on-market ranges
• Investment criteria: Rental yield targets, occupancy status, properties with existing tenants, rental license requirements

Key Use Cases

Firstly, build property search tools, AI agents, and property recommendation engines. Additionally, create investment analysis tools and portfolio monitoring dashboards. Moreover, power lead generation systems, market intelligence applications, and comparative market analysis tools, while also streamlining access to the best properties with internal multi-location expansion platforms for franchises.

In other words, the Property Sourcing API is suitable for any application requiring both breadth of market coverage and depth of historical insight. Consequently, this API helps identify opportunities, track competition, and therefore make data-driven acquisition decisions at scale.

Case studies

• An American global alternative investment firm with USD 65 billion in AUM (as reported in 2025) uses the CASAFARI Property Sourcing API to acquire over 1,000 real estate assets each month, targeting alpha-generating rental yields. CASAFARI’s data enables the team to spot high-potential opportunities in real time and perform instant underwriting using comprehensive nearby comparables to make competitive offers.

• An international upscale brokerage in the luxury real estate segment uses the CASAFARI Property Sourcing API to ensure their agents can therefore monitor the exclusivity of their property portfolio on a daily basis. Specifically, the API identifies if a property has been listed by other brokers or platforms without the seller’s mandate — a common issue in opaque and lightly regulated markets across Europe — thus allowing the brokerage to protect its listings and maintain a competitive edge.

• A global financial technology company uses CASAFARI’s Location Intelligence and Property Data APIs to streamline data and make informed decisions about the optimal locations for new ATMs focused on tourists.

• An AI agent in Germany replaces traditional search interfaces with a conversational AI powered by the CASAFARI Property Sourcing API.

2. Seller Leads API

The Seller Leads API provides access to new property listings and private seller (FSBO) leads directly within your software, where new listings and price changes show in each property’s record and history when you query the API. For automated notifications in the web application, explore how to gather more property leads with CASAFARI web app alerts. Technical documentation is available in the Seller Leads API guide (in English).

This is a helpful product for:

Controlling your property portfolio

With CASAFARI’s Seller Leads API, you can query new listings across target areas as soon as they appear. This enables teams to monitor property portfolios, track competitor movements, and act swiftly to maintain a competitive edge.

Capturing FSBO leads

Furthermore, the Seller Leads API identifies properties listed directly by private sellers (FSBO). This gives teams the opportunity to evaluate private listings instantly, expanding portfolios with off-market and exclusive opportunities.

Case studies

• A leading European CRM integrates CASAFARI’s Seller Leads API to feed FSBO leads directly into their platform across multiple countries, allowing clients to query new listings and follow up efficiently to secure properties.

• Similarly, an Italian brokerage uses the Seller Leads API to ingest FSBO leads into their CRM, allowing agents to contact private sellers rapidly and secure listings.

• Additionally, a professional investor uses the Seller Leads API to query daily market additions across top portals in selected target regions, enabling faster acquisition decisions.

3. Market Analysis API

The most comprehensive Market Analytics across 16 countries has been made possible thanks to CASAFARI’s Market Analysis API, which provides easy access to aggregated property data within a complete intelligence platform for the built world.

In addition, CASAFARI’s Market Analysis API delivers real-time and historical insights across all asset classes — residential, commercial, retail, logistics, land, and more — and furthermore supports multiple applications, ranging from BI dashboards and AI copilots to automated valuation and site selection models.

What You Can Analyse

• Price evolution & trends – Track average asking and closing property prices, price per square meter, and market movements over time. Identify seasonal patterns, calculate growth metrics like CAGR, and benchmark individual properties against local averages.
• Supply & demand dynamics – Monitor active listings, new properties, transactions, and price changes to understand market activity and competition.
• Time-on-market intelligence – Analyse liquidity and demand efficiency across price ranges and property types to spot which assets sell or rent fastest.
• Geographic market segmentation – Drill down from countries to neighborhoods, create radius-based searches, compare cross-border markets, and visualize trends with heatmaps.
• Multi-dimensional property filtering – Segment by property type, size, bedrooms, bathrooms, construction year, condition, special categories (bank-owned, auctions), and listing source.

Market Analytics API includes

• Growth, volatility, and trend metrics (CAGR, deltas, slopes, moving averages)
• Comparative and distribution analysis (percentiles, interquartile ranges)
• Outlier detection for clean statistical insights
• Real-time updates with AI-powered validation and deduplication

Key use cases

• Optimising pricing strategies – Compare asking prices to market averages, analyse price movements, and monitor time-on-market to price properties competitively.
• Identifying investment opportunities – Spot emerging markets, undervalued areas, and optimal entry points with historical trends, supply/demand signals, and cross-market comparisons.
• Benchmarking portfolio performance – Evaluate your portfolio against market averages in price, occupancy, geography, and property mix to optimize returns and allocation.

Case studies

• High-growth real estate company – The growth team uses CASAFARI’s Market Analysis API to identify promising markets for expansion, select optimal new locations, and support strategic agent recruitment.

• Boutique brokerage – The brokerage leverages Market Analysis API to provide clients with transparent, up-to-date information on high-yielding properties in emerging areas, helping buyers make informed decisions.

• Alternative asset investment firm – The firm combines Market Analytics with CASAFARI Properties to pinpoint top investment opportunities in emerging locations with strong performance metrics, strategically positioned near established growth markets.

4. Property Valuations API and Comparables API

Comparables API is AI-Powered Property Valuation (AVM) & Portfolio Analysis with powerful CMA (Comparative Market Analysis) reports.

The Comparables API delivers instant access to the most relevant comparable properties for any asset nearby, powered by CASAFARI’s deduplicated database in 16 countries across continents.

Using AI-driven matching and scoring algorithms, the API automatically identifies active or sold/rented properties with similar characteristics and then returns comprehensive comparable data. Specifically, the scoring model takes into account data such as address, size, bedrooms, bathrooms, property type, condition, construction year, energy rating, features, and amenities. As a result, the output includes asking prices, price per square meter, characteristics, time on market, gross rental yields, and transactional closing prices.

Moreover, this automated property valuation API enables accurate FMV (fair market value) estimates for any property across sale and rental markets. Consequently, it supports buy-side due diligence, sell-side mandate pitching, investment analysis, and lending decisions. In addition, we adjust for property differences and market conditions, thereby providing confidence scores and price ranges based on real market comparables.

Key Use Cases

Portfolio Valuation & Performance Monitoring: Real estate investors, asset managers, PE firms, and REITs can therefore programmatically value entire portfolios by comparing their own assets against current comparables. Moreover, regular valuations track portfolio appreciation or depreciation, measure performance against market benchmarks, identify underperforming assets, and support financial reporting. In addition, integration with portfolio management systems enables continuous monitoring without the need for manual CMA creation.

Data-Driven Asset Management Decisions: Property owners and managers can therefore make informed hold/sell/renovate decisions, as well as optimize rental prices and maximize ROI. Furthermore, the API reveals which assets are outperforming or underperforming their market segment. Consequently, this especially enables proactive portfolio optimization and capital allocation decisions based on current market dynamics, rather than relying on outdated assumptions.

Win Seller Mandates with Accurate Fair Market Valuations: Brokers leverage CASAFARI’s Comparables and Property Valuations API to deliver precise fair market values, supported by the most comprehensive nearby comparables. In addition, agents can showcase accurate pricing, time-on-market trends, and actual transaction data during listing presentations. As a result, this data-driven approach builds seller trust, further differentiates agents as market experts, and, consequently, helps secure exclusive mandates while ensuring optimal sale prices.

Case studies

• Asset management company (Spain & Portugal) – The firm uses CASAFARI’s Property Valuations and Comparables API to monitor portfolio value in real time and make informed decisions on when to buy or sell assets, ensuring optimal portfolio performance and strategic asset allocation.

• Digital brokerage (Portugal) – The brokerage integrates the Property Valuations and Comparables API into a mobile application for their agents, giving them instant access to relevant comparables. This empowers agents to create accurate market studies on the go, improving client advisory and listing presentations.

• Emirati PropTech company (mortgages) – The company leverages the Comparables API to power internal valuation tools, providing reliable property valuations that support mortgage origination and risk assessment workflows.

5. Listings Data API

This fully customisable and scalable Listings API provides access to a complete listings database. Each listing is presented with listing details, pricing history, and geolocation information.

Key Use Cases

• Monitor market availability: Keep track of updated inventory to stay informed on local supply and demand balance.
• Analyse pricing trends: Use our API to track property prices and adjust portfolios based on current market trends.

Can our Property Data APIs be customized?

The information our property data APIs shows inside your management software can be adapted to your needs and to the task you wish to accomplish.

We can provide you with extra real estate or public data in the APIs on demand.

We have a proven track record of developing custom algorithms and new data points to target specific needs of our customers who want to have innovative use cases on top of unique data features in their applications.

Why choose CASAFARI’s Property Data APIs for your applications?

In conclusion, overall, CASAFARI’s Property Data API provides real estate professionals with the most accurate, comprehensive, and up-to-date property data in the market. Moreover, powered by advanced AI, it unifies property sourcing, market analytics, and property valuations into a single, scalable ecosystem. Additionally, with access to the largest real estate database across 16 countries, businesses can seamlessly integrate API endpoints to automate property sourcing, monitor market trends, and assess asset values in real time.

In particular, if you’re building applications, expanding portfolios, or improving operations, CASAFARI delivers fast, reliable, and AI-enriched property data. Furthermore, we help identify opportunities, optimize pricing, and gain a competitive edge across residential, commercial, and retail markets.

When more flexibility and power are required for predicting future movements and making deep analysis, developers of AI applications can also benefit from Casafari MCP and CASAFARI Data Export.

To get started, simply sign in on the CASAFARI platform to manage API keys, select plans, or access custom configurations.

If one of these four use cases looks like your own, the CASAFARI Property Data APIs product page sets out what each API returns and which of the 16 countries it covers.

Frequently asked questions

Which countries and asset classes do CASAFARI’s Property Data APIs cover?

CASAFARI’s Property Data APIs cover 16 countries across Europe and the Middle East, including Andorra, Austria, Belgium, France, Germany, Greece, Italy, Luxembourg, Monaco, Poland, Portugal, San Marino, Spain, Switzerland, and the United Arab Emirates, alongside selected US states for commercial real estate via Claro AI. The coverage spans residential, commercial, industrial, plot, building, investment, and new development asset classes.

How does CASAFARI deduplicate property listings for AI and BI applications?

CASAFARI aggregates listings across 30,000 sources and uses AI indexing alongside machine learning models to normalise unstructured data. Duplicate listings of the same property are consolidated into a single unique property entity. Each entity maintains complete historical price, status, and portal records ready for AI models and business intelligence pipelines.

Do CASAFARI’s APIs include both asking prices and closing prices?

Yes, CASAFARI’s APIs provide both asking prices from indexed web listings and transactional closing prices. Closing price data is drawn from official public records, notaries, and client-reported transactions across supported markets. The APIs also return gross rental yields, price per square metre, and time-on-market metrics.

How can AI agents and LLMs connect to CASAFARI’s real estate data?

Developers can connect AI agents and LLMs via REST APIs or Casafari MCP. This integration exposes clean, pre-processed property context, vector comparables, automated valuations, and Location Intelligence directly to agentic workflows. As a result, AI copilots can query real-time market data without hallucinating.

How do I get access to CASAFARI’s Property Data APIs and documentation?

Developers can explore technical documentation and implementation guides at developers.casafari.com. Account creation, API key management, and plan selection (including custom plans) are completed self-serve on platform.casafari.com.