20M+ properties
190+ countries
21 endpoints
$0.01/call entry
Enterprise STR data providers charge $50K+ per year, effectively locking individual investors and small funds out of the same market intelligence that institutional players rely on. The result is a two-tier market where well-funded firms make data-driven acquisition decisions while smaller operators rely on gut instinct and outdated listings. According to independent comparisons of Airbnb data API providers, AirROI delivers the broadest coverage at the lowest entry cost.
AirROI's API levels the playing field. A fund screening 50 markets per month uses market_summary for quick snapshots, market_metrics_all for 60-month trend validation, and search_by_radius for property discovery. Revenue projections come from estimate_revenue, comparable validation from find_comparables, and forward demand confirmation from market_future_pacing. The entire underwriting pipeline runs through a single API with consistent JSON responses.
The cost advantage is dramatic: analyzing 50 markets costs roughly $25-50 in API calls versus $4,000+ per month on competitor platforms. That difference funds additional acquisitions, not data subscriptions. Fund managers report cutting market screening time from days to hours while accessing 15+ years of historical depth that enables cycle analysis and seasonality modeling no other provider matches.
“We evaluated many competitors before choosing AirROI. The pay-per-call model saved our fund over $40K annually, and the 15-year historical depth gave us trend analysis no other provider could match.”
— Fatima A., Investment Director, STR Fund, Dubai
“Analyze the top 5 US STR markets by RevPAR growth over the past 24 months”
“Find 2-bedroom properties near 123 Ocean Dr, Miami Beach with occupancy above 70%”
“Compare revenue trends for Austin vs Nashville over the last 3 years”
Property managers juggle competitive pricing, owner reporting, and market positioning across multiple listings. Manual competitive research means checking rival listings one by one, updating pricing spreadsheets by hand, and producing owner reports that lack the data rigor institutional clients expect. Off-the-shelf analytics platforms charge $200-500 per month for dashboards that don't integrate with existing workflows. AirROI's Market Atlas provides a visual starting point, while the API powers the automated pipeline behind it.
The API transforms this workflow into a data pipeline. Build competitive sets with find_comparables, monitor rival pricing strategies with listing_future_rates (365 days forward), detect upcoming demand surges with market_future_pacing, generate historical performance reports with listing_metrics, and benchmark portfolio performance against the broader market via market_summary. Every data point feeds directly into custom dashboards or reporting tools.
The business outcome is measurable: 15-25% revenue uplift through data-informed pricing decisions, and professional owner reports that reduce churn and justify management fee structures. Over 60% of STR operators now incorporate data analytics into daily workflows according to industry surveys -- the API makes that adoption practical for operations of any size.
“We manage 45 properties across three markets. AirROI's API feeds our internal dashboard with real-time comp rates and occupancy data. Owner reports went from guesswork to institutional quality.”
— Tom B., Operations Director, Vacation Rental Co., Nashville
“Show me nightly rates for the top 10 comparable listings near my property for the next 90 days”
“What is the average occupancy rate in my market for 3-bedroom listings this quarter?”
“Generate a competitive analysis for all properties within 1 mile of this address”
Building a proprietary STR data pipeline from scratch takes 6-12 months of engineering time and requires ongoing maintenance, monitoring, and data quality assurance. Competitor APIs are either sales-gated with enterprise contracts, poorly documented with inconsistent response schemas, or limited to a fraction of the global market. Every month spent on infrastructure is a month not spent on product differentiation.
AirROI eliminates the build-versus-buy debate. Sign up, get an API key instantly, and integrate with interactive documentation that includes working code examples in Python, JavaScript, PHP, Java, and C++. Embed estimate_revenue for instant revenue calculators, add search_by_market for market exploration features, and build competitive analysis tools with find_comparables and the unique search_by_polygon endpoint that no competitor offers. The API documentation includes interactive “Try It” testing for every endpoint.
The cost model scales with your product. Pay-per-call pricing means your data costs grow linearly with usage -- no renegotiation at scale, no surprise invoices, no annual contracts. Startups prototyping an MVP pay the same per-call rate as enterprises processing millions of requests. Ship STR features in days, focus engineering resources on what makes your product unique.
“Integration took 3 hours, not 3 months. The documentation is clear, the JSON responses are consistent, and the polygon search endpoint is something nobody else offers.”
— Dev P., CTO, PropTech Startup, Austin
“Estimate annual revenue for a 3BR property at this address with pool access”
“Search all listings within a 2-mile radius of downtown Denver with occupancy above 65%”
“Return all listings inside this custom polygon boundary with their performance metrics”
Data analysts and consulting firms producing market studies, investment memos, and client presentations need reliable, granular STR data. But enterprise APIs cost $50K+ per year and free alternatives like Inside Airbnb provide only quarterly CSV dumps for roughly 50 cities -- no API, no calculated metrics, no forward-looking data. The gap between what clients expect and what most analysts can access creates a quality ceiling. AirROI's global data coverage eliminates that ceiling.
The API turns analysts into data powerhouses. Use search_by_market to pull market datasets for analysis, market_metrics_all to build cross-market comparisons with 60 months of time-series data, and listing_metrics for property-level deep dives. Feed structured JSON directly into BI tools like Tableau, Power BI, or custom Python notebooks. A consultant analyzing 10 markets pays roughly $5-10 in API calls -- not $5,000 in platform subscriptions.
The outcome is faster deliverables and richer analysis. Consultants can offer clients comprehensive market intelligence covering markets from Bali to Barcelona to Nashville without proportionally increasing research time. In-house analysts respond to ad-hoc data requests from executives in minutes rather than queuing them for the next sprint. As one verified reviewer on Bright Data's independent ranking noted, AirROI's dataset breadth covers markets that no other single provider reaches.
“My consulting practice built a competitive advantage on AirROI data. Clients in Bali, Lisbon, and Tulum get the same analytical depth as those in Miami or Los Angeles.”
— Anh N., STR Data Consultant, Ho Chi Minh City
“Export all active listings in the Barcelona market with their performance metrics”
“Compare occupancy and ADR trends across 5 European coastal markets over 36 months”
“Generate a market summary for Tulum including supply, demand, and pricing metrics”
Real estate developers evaluating new construction or conversion projects need to validate whether short-term rentals are viable at a given location before committing capital. Traditional real estate databases provide long-term rental comps and sale prices but lack STR demand data entirely. Feasibility studies that omit STR revenue projections can undervalue a project by 30-50%. AirROI's free revenue calculator offers a quick estimate, while the API enables full programmatic integration.
The API provides the missing data layer for feasibility models. Resolve site coordinates to STR market boundaries with lookup_market, analyze supply/demand dynamics with market_summary and market_metrics_all, define the exact competitive area around a development site with search_by_polygon, and project unit economics across bedroom configurations with estimate_revenue. Each data point plugs directly into pro forma spreadsheets or financial models.
The Deloitte/Airbnb World Cup 2026 Host Income Study projected average hosts in event cities earning approximately $4,000 during the tournament alone -- precisely the kind of demand signal that differentiates STR-friendly developments from conventional rental projects. Developers use AirROI's API to identify locations where STR-friendly design yields measurably higher returns than traditional leasing assumptions.
“We used AirROI's polygon search to analyze the exact block around our proposed development. The STR revenue projections added $2.4M to our pro forma versus traditional rental assumptions.”
— David O., Development Associate, Miami
“What is the STR demand for 1-bedroom units within 0.5 miles of this GPS coordinate?”
“Compare STR revenue per square foot versus long-term rental rates in this neighborhood”
“Show me active listing growth in Scottsdale over the last 5 years”
Vacation rental marketplaces and OTAs compete fiercely for host inventory. Hosts gravitate toward platforms that help them earn more, not just book more. Building proprietary analytics from scratch is expensive and outside core competency, but hosts increasingly demand pricing optimization and market intelligence as table-stakes platform features. AirROI's MCP Server adds natural-language data queries for even more accessible host experiences.
AirROI's API enables marketplaces to embed data-driven features without building a data team. Add a "Potential Revenue" widget to listing creation pages with estimate_revenue, power competitive pricing suggestions using find_comparables combined with listing_future_rates, build host-facing market dashboards with market_summary and market_metrics_all, and generate forward demand forecasts with market_future_pacing to help hosts price optimally for upcoming high-demand periods.
The business impact is quantifiable. Platforms that surface earning potential during onboarding see measurably higher host conversion rates. Providing ongoing competitive intelligence reduces host churn to rival platforms. And the pay-per-call pricing model means marketplace data costs scale proportionally with platform growth -- no upfront infrastructure investment, no data team overhead, just actionable STR intelligence embedded directly into the host experience.
“Adding AirROI's revenue estimator to our listing creation flow increased host signups by 23%. Hosts want to see earning potential before they commit to a platform.”
— Mei L., Product Manager, Vacation Rental Marketplace, Taipei
“What could a host earn on this platform listing a 2BR in Bali versus Phuket?”
“Show demand pacing for the next 90 days in the Cancun market”
“Find the top 20 comparable listings for this property and return their pricing”
Real estate investors, property management companies, proptech developers, data analysts, financial institutions, tourism boards, and vacation rental marketplaces. Anyone who needs STR data for investment analysis, competitive intelligence, dynamic pricing, product features, or market research uses the API as their data backbone.
AirROI uses transparent, pay-as-you-go pricing starting at $0.01 per API call for market lookups. There are no contracts, no monthly minimums, and no subscription fees. Deposit a minimum of $10 in credits and pay only for the calls you make. Volume discounts of up to 50% are available through the preferred partner program.
Most developers make their first successful API call within 5 minutes of signing up. A full integration into a production application typically takes 1-3 days depending on complexity. Interactive documentation includes a "Try It" feature for testing endpoints directly in the browser, and code examples ship in Python, JavaScript, PHP, Java, and C++.
No. Airbnb's official API is restricted to approved property management partners and channel managers. It provides booking and listing management -- not market analytics, revenue data, or competitive intelligence. AirROI's API fills this gap with 21 endpoints delivering comprehensive STR data and analytics for 20M+ properties globally.
Yes. AirROI offers three geospatial search methods: market-based search (predefined boundaries), radius search (circle around coordinates), and polygon search (custom-drawn boundaries). Polygon search is unique to AirROI -- no competitor offers this capability, making it indispensable for hyperlocal market analysis.
Yes. AirROI offers an MCP (Model Context Protocol) server that enables AI assistants like Claude, ChatGPT, and Cursor to query STR data using natural language. This means investors and analysts can ask questions in plain English and get structured data back without writing any code.
AirROI's ML models achieve 95%+ correlation with actual Airbnb revenue figures. The models are trained on billions of data points from 20M+ properties, using advanced calendar classification algorithms to distinguish genuine bookings from owner blocks. The estimate_revenue endpoint also returns the comparable properties used, providing full transparency into the methodology.
Everything you need to integrate short-term rental data into your application — from endpoint docs to competitive benchmarks.
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