2x more listings than competitors
From $0.01/call
15+ years of history
No contracts
| Dimension | AirROI | AirDNA | Key Data | Mashvisor | Lighthouse | Inside Airbnb | AllTheRooms |
|---|---|---|---|---|---|---|---|
| Properties tracked | 20M+ | 10M+ | 700K+ first-party | 11M STR | 19M+ | ~100 cities | Unknown |
| Countries covered | 190+ | 100+ | 100+ | ~10 | 185 | ~100 cities | Limited |
| Historical data | 15+ years | ~5 years | Limited | Limited | Varies | Quarterly | Unknown |
| API pricing model | Transparent pay-per-call | Subscription + opaque per-call | Enterprise subscription | Subscription | Enterprise subscription | Free (CSV) | Subscription |
| Lowest entry cost | $0 | $1K–$50K+/yr | $295/mo per market | ~$600/yr | Custom (sales only) | $0 | $19/mo |
| Self-serve API key | N/A | N/A | |||||
| Polygon search | |||||||
| Full market export (MCP) | Partial | ||||||
| Future pacing data | Limited | ||||||
| MCP/AI integration | |||||||
| Data source type | Scraped + calculated | Scraped + calculated | First-party (PMS) | Scraped + MLS | Scraped + hotel data | Scraped (CSV) | Scraped |
AirDNA is the most recognized name in STR data, but recognition does not mean best value for API customers. Three key differences separate AirROI from AirDNA, and each matters for developers building production applications.
Coverage: AirROI tracks 20M+ properties vs. AirDNA's 10M+. That 2x gap means AirROI covers markets, neighborhoods, and rural destinations that AirDNA misses entirely. For global investors analyzing emerging markets in Southeast Asia, Latin America, or the Middle East, this breadth is the difference between data and no data. Access model: AirROI offers instant, self-serve API keys. AirDNA requires enterprise sales negotiations, contract commitments, and onboarding cycles that can stretch to weeks or months. A startup can go from idea to production data on AirROI in the same afternoon.
Pricing: AirROI starts at $0.01/call with no minimums. AirDNA's enterprise API is estimated at $50K+/year according to publicly available pricing discussions. A startup analyzing 100 markets per month pays approximately $100 on AirROI vs. $50K+ on AirDNA. Unique endpoints: AirROI offers polygon search and forward pacing data through market_future_pacing. Full market exports are available via AirROI's MCP Server. AirDNA does not publicly document these capabilities.
| Feature | AirROI | AirDNA |
|---|---|---|
| Properties | 20M+ | 10M+ |
| Countries | 190+ | 100+ |
| Historical depth | 15+ years | ~5 years |
| Entry pricing | $0.01/call | $1K–$50K+/yr subscription |
| Self-serve access | Instant API key | Sales-gated |
| Polygon search | ||
| Export market | ||
| Future pacing | Limited | |
| MCP server | ||
| Pay-as-you-go |
“We were quoted $50K/year by another provider. AirROI gave us better coverage for a fraction of the cost. The polygon search alone was worth switching — no one else has it.”
— Raj P., Data Engineer, Real Estate Analytics Firm, Mumbai
Key Data Dashboard takes a fundamentally different approach to STR data: it sources first-party data directly from property management systems (PMS) like Guesty, Hostaway, and Streamline, supplemented by third-party scraped data. Its first-party dataset covers approximately 700,000 properties where the numbers reflect actual booked revenue — a genuine advantage for accuracy on those properties.
The tradeoff is coverage: Key Data's first-party dataset of 700,000 properties is a fraction of AirROI's 20M+ listings. While Key Data supplements with third-party data, its overall coverage remains narrower than AirROI's — particularly in markets with low PMS adoption (independent hosts, international destinations) where first-party sources are sparse. Access and pricing: Key Data's API requires contacting sales, IP whitelisting, and starts at $295/month per market — costs that scale quickly as you add markets. AirROI offers instant self-serve API keys at $0.01/call with no contracts and no per-market fees.
Where Key Data wins: If you are a large property manager benchmarking your own portfolio against verified competitor performance in US markets with high PMS adoption, Key Data's first-party data is genuinely more accurate for those specific properties. Their 45+ customizable KPIs and PMS integrations are purpose-built for portfolio operators, not market researchers or investors doing broad analysis.
| Feature | AirROI | Key Data |
|---|---|---|
| STR properties | 20M+ | 700K+ first-party |
| Countries | 190+ | 100+ |
| Data source | Scraped + calculated | First-party (PMS) + third-party |
| Historical depth | 15+ years | Limited |
| Pricing model | Pay-per-call from $0.01 | $295/mo per market |
| Self-serve API key | ||
| Polygon search | ||
| Export market | ||
| MCP server | ||
| Future pacing | ||
| Hotel data |
“We evaluated Key Data for our investment analysis platform, but their coverage in emerging markets was too thin. We needed data for clients analyzing Thailand, Portugal, and Colombia. AirROI's 20M+ listings across 190+ countries solved that immediately.”
— Mei C., Product Lead, Proptech Startup, Singapore
Mashvisor is a solid choice for US-focused investors who also need long-term rental data. It bundles MLS listings, property tax records, and sales history alongside STR analytics, making it a one-stop shop for domestic buy-and-hold strategies. But for global STR analytics, AirROI outperforms on every dimension except LTR coverage.
Coverage: AirROI tracks 20M+ STR properties globally across 190+ countries. Mashvisor covers 11M STR listings, primarily concentrated in the US and roughly 10 countries. Historical depth: AirROI delivers 15+ years of historical data with up to 60 months of monthly time-series analytics. Mashvisor offers limited historical depth, making long-term trend analysis and seasonality modeling difficult. Pricing model: AirROI uses true pay-per-call pricing starting at $0.01. Mashvisor requires a credit-based subscription, which means paying for credits whether you use them or not.
Where Mashvisor wins: LTR data. If your application requires combined short-term and long-term rental analysis in one API — property tax records, MLS listings, sales comparables alongside Airbnb analytics — Mashvisor may be the better fit. AirROI does not cover long-term rentals. For pure STR intelligence with global reach, AirROI delivers significantly more data at lower cost.
| Feature | AirROI | Mashvisor |
|---|---|---|
| STR properties | 20M+ | 11M |
| Countries | 190+ | ~10 |
| Historical depth | 15+ years | Limited |
| LTR data | ||
| Pricing model | Pay-per-call | Credit subscription |
| Polygon search | ||
| Export market | ||
| Future pacing |
“We switched to AirROI when we expanded to Southeast Asian markets. Our previous provider only had US data. AirROI had Bali, Phuket, and Da Nang on day one.”
— Tran H., Founder, STR Advisory, Singapore
Lighthouse (formerly OTA Insight and Transparent) is the leading commercial intelligence platform for the hotel industry, serving 65,000+ hotels across 185 countries. They acquired Transparent in 2022, adding 19M+ STR listings to their hotel-centric platform. That acquisition makes Lighthouse the closest competitor to AirROI in raw STR coverage numbers.
The critical difference is focus: Lighthouse is a hotel platform that added STR data. AirROI is built from the ground up for short-term rental analytics. This distinction matters in practice. Lighthouse's STR data is accessed through enterprise sales negotiations with no public pricing, no self-serve API keys, and no developer documentation you can browse before committing. AirROI provides instant API access, transparent pay-per-call pricing, and 21 purpose-built STR endpoints including polygon search, revenue estimation, and full market exports via MCP Server.
Where Lighthouse wins: If your business spans both hotels and vacation rentals, Lighthouse is the only platform combining hotel rate shopping, travel intent data (flight and hotel search volume), and STR analytics in a single subscription. For DMOs, OTAs, and hospitality enterprises that need unified hotel-plus-STR intelligence, Lighthouse's breadth across lodging types is unmatched. For pure STR analytics — market research, investment analysis, proptech development — AirROI delivers more STR-specific capabilities at a fraction of the cost.
| Feature | AirROI | Lighthouse |
|---|---|---|
| STR properties | 20M+ | 19M+ |
| Hotel properties | 725K+ | |
| Countries | 190+ | 185 |
| Historical depth | 15+ years | Varies |
| Pricing model | Pay-per-call from $0.01 | Enterprise subscription |
| Self-serve API key | ||
| Polygon search | ||
| Export market | ||
| MCP server | ||
| Future pacing | ||
| Travel intent data |
“Lighthouse wanted a six-figure annual contract with a 3-month onboarding timeline. We needed STR data for our MVP last week. AirROI had us in production the same day with better polygon search than anything Lighthouse offered.”
— Aarav K., CTO, Real Estate Analytics Platform, Bangalore
Inside Airbnb is a free, community-driven project that publishes quarterly CSV snapshots for approximately 100 cities. It is valuable for academic research, advocacy work, and students exploring STR data for the first time. But Inside Airbnb is not a production data source: no API endpoint, no real-time access, no pre-calculated analytics, no global coverage, and no revenue projections.
AirROI is the production-grade alternative: 20M+ properties across 190+ countries, 22 REST API endpoints, real-time access, 15+ years of historical data, ML-powered revenue estimates, and unique capabilities like polygon search and full market exports. If you are a developer building an investment tool, a property manager optimizing pricing, or a data team powering business decisions, AirROI provides the infrastructure Inside Airbnb cannot. Researchers who need broader coverage can also read our post on the legal landscape of Airbnb data access.
| Feature | AirROI | Inside Airbnb |
|---|---|---|
| Properties | 20M+ | Varies (~100 cities) |
| API access | Yes (REST) | No (CSV) |
| Update frequency | Frequent | Quarterly |
| Analytics | Yes (calculated metrics) | No (raw data) |
| Global coverage | 190+ countries | ~100 cities |
| Cost | $0.01+/call | Free |
| Production-ready |
AllTheRooms positions itself as a vacation rental analytics platform with a low entry price of $19/month. However, critical details about its data are difficult to verify. AllTheRooms does not publicly disclose how many properties it tracks, which countries it covers comprehensively, or how deep its historical data goes. For developers evaluating an API integration, this opacity is a risk.
Transparency: AirROI publishes its coverage (20M+ properties, 190+ countries, 15+ years of history), its pricing ($0.01/call, no contracts), and its full endpoint documentation publicly. AllTheRooms requires a subscription before you can evaluate data quality or coverage for your target markets. Developer experience: AirROI offers instant self-serve API keys, comprehensive endpoint documentation, polygon search, full market exports via MCP, and AI integration. AllTheRooms does not offer polygon search, MCP integration, or comparable developer tooling.
Where AllTheRooms may fit: If you need a low-cost entry point for basic STR analytics and future pacing data without needing global coverage guarantees or advanced geospatial features, AllTheRooms' $19/month plan is among the cheapest paid options. For production applications requiring verified coverage, transparent data, and developer-grade API infrastructure, AirROI is the stronger choice.
| Feature | AirROI | AllTheRooms |
|---|---|---|
| STR properties | 20M+ | Unknown |
| Countries | 190+ | Limited |
| Historical depth | 15+ years | Unknown |
| Pricing model | Pay-per-call from $0.01 | $19/mo subscription |
| Self-serve API key | N/A | |
| Polygon search | ||
| Export market | ||
| Future pacing | ||
| MCP server |
“We couldn't verify AllTheRooms' coverage for our Latin American markets before subscribing. AirROI's documentation showed exactly what data was available for each country — we were confident before writing a single line of code.”
— Carlos R., Lead Developer, Travel Tech Startup, Mexico City
“After spending 3 months building a scraping pipeline that broke every week, we switched to AirROI. Rock-solid API, consistent data, zero maintenance.”
— Lukas M., Full-Stack Developer, Berlin
“We tried three different providers. AirROI is the only one where I got from signup to production data in the same afternoon. The documentation is genuinely excellent.”
— Hiro N., Software Engineer, Tokyo
“The polygon search changed our entire workflow. We define exact neighborhood boundaries and get precisely the listings we need. No other provider offers that level of geographic precision.”
— Isabel V., Data Analyst, Barcelona
Three key differences: (1) Coverage — AirROI tracks 20M+ properties vs. AirDNA's 10M+. (2) Access — AirROI offers instant, self-serve API keys; AirDNA requires enterprise sales negotiations. (3) Pricing — AirROI starts at $0.01/call with no contracts; AirDNA's enterprise API is estimated at $50K+/year.
AirROI offers 2x the STR coverage (20M+ vs. 11M), global reach (190+ countries vs. ~10), deeper history (15+ years vs. limited), and true pay-per-call pricing vs. Mashvisor's credit subscription. Mashvisor does offer LTR data (MLS, property tax, sales history) that AirROI does not cover.
AirROI is significantly more affordable than alternatives. Some enterprise providers require subscriptions ranging from thousands to tens of thousands per year with opaque per-call fees on top. Others use credit-based subscriptions. AirROI's transparent pay-per-call model starts at $0.01/call with no contracts, no subscriptions, and no monthly minimums — a developer can analyze 1,000 markets for $10.
Inside Airbnb provides free quarterly CSV downloads for approximately 100 cities. It has no API endpoint, no analytics, no calculated metrics, and limited history. It is useful for academic research on a small number of cities but inadequate for production applications or investment analysis requiring global coverage.
Key Data Dashboard sources first-party data directly from property management systems (PMS), covering approximately 700,000 properties with verified booking data, supplemented by third-party scraped data. AirROI tracks 20M+ properties globally with significantly broader coverage. Key Data's API is sales-gated with IP whitelisting and starts at $295/month per market. AirROI offers instant self-serve API keys starting at $0.01/call with no contracts. Key Data's first-party data is highly accurate for the properties it covers, but its overall coverage is narrower — especially in markets with low PMS adoption.
Lighthouse covers 19M+ STR properties and 725K+ hotels across 185 countries — making it the closest to AirROI in STR coverage. However, Lighthouse is primarily a hotel intelligence platform; STR data is a secondary offering. Its API is enterprise-only with no public pricing, no self-serve access, and no developer-friendly features like polygon search or MCP integration. AirROI is purpose-built for STR analytics with instant API access, transparent pricing, and unique capabilities like polygon search and full market exports.
AirROI tracks over 20 million active Airbnb and vacation rental properties worldwide — the largest STR dataset available via API. Other providers cover between 10M and 12M listings. AirROI's coverage spans 190+ countries, from major metropolitan markets to rural destinations.
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.
Web scraping occupies a legal gray area. While the hiQ Labs v. LinkedIn (2022) ruling found that scraping publicly accessible data does not violate the CFAA, Airbnb's Terms of Service prohibit automated data collection. Using a licensed data provider like AirROI eliminates legal risk entirely. See our blog post on the legal landscape for a detailed analysis.
Everything you need to integrate short-term rental data into your application — from endpoint docs to competitive benchmarks.
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