AirROI provides AI-based Airbnb and short-term rental (STR) data analytics, dynamic pricing, and market research tools, with its official website at https://www.airroi.com/。其核心定位是通过覆盖全球 A dataset covering 190+ countries, 20 million+ listings, and 15+ years of short-term rental historical data, helping users make evidence-based short-term rental investment and operational decisions.
In terms of use, AirROI mainly serves short-term rental market research, investment evaluation, revenue estimation, pricing optimization, and data integration. It claims to be used by industry leaders and transforms raw listing activity data into analytics, pricing, and ROI recommendations.
Its main capabilities include the following categories:
- Market Atlas: Visually displays global Airbnb market data on an interactive map, supports searching by city, drawing custom areas, or browsing neighborhoods, analyzes occupancy rates, ADR (average daily rate), revenue, and supply data, provides three search modes—location, viewport, and lasso polygon—and covers 100,000+ searchable markets.
- Analytical Insights: Analyzes occupancy trends, revenue seasonality, ADR fluctuations, booking lead times, length-of-stay patterns, and supply growth, supports year-over-year comparisons, identifies seasonal peaks and emerging trends, and provides 15+ years of historical data for each market.
- Revenue Calculator: Enter any address to get projected annual revenue, occupancy rate, and ADR based on comparable listings; its machine learning model analyzes 50–100 comparable listings and takes into account seasonality, local events, and amenity premiums.
- Dynamic Pricing: AI analyzes real-time market demand, competitor pricing, seasonality, local events, and booking pace to recommend the optimal nightly rate for each day in the calendar. The company states that this dynamic pricing is free, while competitors typically charge $19.99 per listing per month plus $10–40 per month for a market dashboard.
- Regional Report: Provides prebuilt short-term rental market intelligence reports for 30,000+ markets worldwide, covering total supply, active listings, median revenue, occupancy rate, ADR, RevPAR, seasonality index, property type mix, and year-over-year growth trends.
- Raw Data Download: Provides listing-level data, including nightly rates, availability calendars, review scores, revenue estimates, and property attributes, which can be exported in standard formats for spreadsheets, databases, or analytics pipelines, covering 190+ countries.
- RESTful API: Integrates Airbnb market data into your own platform on a pay-per-use basis (starting at $0.01 per call), with no contract and no monthly minimum, and the company states it is up to 90% cheaper than alternatives. API endpointsIncluding property and listing search, and market analysis; in addition, it also provides an Airbnb MCP server for AI agents.
In terms of usage, the free features (Market Atlas, Analytical Insights, Revenue Calculator, Dynamic Pricing, Regional Reports) require no account, have no paywall, and no listing quantity limits; Enterprise API and Data Portal, which require programmatic access, are paid tiers, starting at $0.01 per API call, using prepaid credits. The official FAQ mentions that it can be used with Claude, Codex, and Cursor.
Applicable scenarios and audiences include: real estate investors and developers (evaluating cap rate, occupancy forecasts, and revenue potential), property and vacation rental managers (benchmarking portfolio performance, optimizing nightly rates, tracking competing supply), financial institutions and lenders (underwriting short-term rental income properties using 15+ years of historical revenue data), hedge funds and asset management institutions (bulk-acquiring market data via API for quantitative modeling), technology platforms and application developers (integrating short-term rental market intelligence), tourism bureaus and DMOs, hotel and management consultants, as well as academic and market researchers.
In terms of limitations, the materials do not provide details such as the specific data update frequency of the free features, the complete endpoint list of the API, call quota limits, the specific prices of each paid tier, and the actual percentage by which dynamic pricing increases revenue (it only mentions that hosts using dynamic pricing typically earn 10–40% more revenue than with static prices); these contents are not yet provided.
