Last updated August 2026. Every rating and coverage claim in this guide was checked on 2026-08-10.
Every team we’ve seen sell into hotels eventually hits the same wall. They buy a “420,000-contact” hotel list, a third of it bounces, and the GM contacts turned over the year before. Or they pull a STAR report to build a territory plan and discover that benchmarking data is aggregated: it tells you the market, not who to call. The hotel data providers market is full of claims like these, and almost none of them arrive with proof attached.
The market itself is real and large. The U.S. hotel industry counts nearly 55,900 properties and 5.3 million guest rooms (AHLA 2025 State of the Industry; the count covers properties with 15 or more rooms). The vendor claims layered on top of it are mostly unverifiable.
So this guide holds every vendor to one evidence bar: 17 hotel-specific providers across five categories, every rating printed with its sample size, every coverage claim labeled vendor-claimed or verified, so you can shortlist in an afternoon without getting burned again.
Quick Digest
- The four kinds of hotel data: firmographics, contacts, market performance, and OTA rates serve four different buyer jobs; buying the wrong kind is the most common wasted spend.
- The evidence standard: every rating carries its sample size and access date; every coverage count is labeled vendor-claimed. Verified 2026-08-10.
- Custom and managed extraction: Forage AI (our product, disclosed), Ficstar, and Hir Infotech serve the “no packaged database fits my schema” buyer.
- Property databases: All Top Hotels, HotelMarketData, and MetricsDriven sell hotel firmographics and contacts; none carries a single third-party review.
- Contact and email lists: BookYourData is the only list vendor with a meaningful review base (G2 4.9/5, n≈370); BizInfor and InfoGlobalData claim six-figure counts on thin evidence.
- Market analytics incumbents: STR (CoStar), Lighthouse, Amadeus, RateGain, and AirDNA sell benchmarking and rate intelligence, not prospecting data.
- OTA rate data and DIY: Bright Data, Makcorps, and Xotelo serve engineering-led rate-data buyers, with terms-of-service risk covered below.
- Licensing and compliance: CAN-SPAM liability cannot be contracted away; the Ryanair v Booking.com verdict was later overturned; resale rights live in three license clauses.
- How to choose: a decision tree matched to your job, plus five pre-purchase checks that catch bad vendors before the invoice.
What Is Hotel Data, and What Counts as Hotel Firmographic Data?
Before any provider can earn a place on a shortlist, the categories have to be straight. Hotel data splits into four kinds, each serving a different buyer. Property firmographics describe what a hotel is. Decision-maker contacts tell you who runs it. Market performance data (the STR-style panels) tells you how a market is doing. Rate and OTA data tells you what rooms sell for right now. The common industry framing, “datasets versus scraping,” describes delivery plumbing, not what you need.
Hotel firmographic data is the hotel-industry equivalent of B2B firmographics: the descriptive attributes of a property as a business. Where general firmographics cover industry, employee count, and revenue (per the definitions Demandbase and HG Insights publish for company data), hotel firmographics cover room count, chain scale, brand versus independent status, ownership group versus management company versus flag, ADR band, amenity set, and the property’s technology stack (PMS, booking engine, channel manager): the fields that tell a seller whether a property fits their ICP before anyone picks up the phone. Firmographics describe what a property is; technographics describe what it runs. The general-firmographics definitions belong to Demandbase and HG Insights; the hotel-vertical extension is ours. Our firmographic data pillar covers the B2B foundation this layer extends.
Three metrics come up constantly in this market, so define them once: occupancy (rooms sold as a share of rooms available), ADR (average daily rate), and RevPAR (revenue per available room). Chain scale is STR’s segmentation of hotels into seven segments: six branded tiers ranked by average room rate, luxury through economy, plus independents as a separate category regardless of rate.
One distinction saves more money than any other.
One market shift worth noting: the analytics incumbents are entering the data-provider side too (Lighthouse launched a Data Solutions arm, active through 2026), so the category walls are thinning.
Quick Summary
Q: What is hotel firmographic data?
A: Hotel firmographic data is the descriptive attributes of a hotel as a business: room count, chain scale, ownership versus management versus flag, ADR band, amenities, and tech stack. It is the hotel-vertical equivalent of B2B firmographics.
How We Evaluated These Providers
Four of the five pages ranking for this query list themselves, usually at #1. That is why this guide runs on a printed evidence standard rather than another generic criteria checklist. The wider context makes claim inflation predictable: the global data marketplace market was valued at $1.86 billion in 2025 and is projected to reach $5.73 billion by 2030, with B2B data marketplaces holding over 58% revenue share in 2024 (Grand View Research, 2025). More sellers, more claims, same lack of verification.
Here is the rubric every entry below was scored against:
| Factor | What we checked |
|---|---|
| Hotel-specificity | A real hotel-vertical product, not a generic database with a hotel filter |
| Coverage | Counts labeled vendor-claimed unless independently verifiable |
| Review evidence | Ratings printed with sample size (n) and access date; “No verified reviews” printed where true |
| Freshness | Refresh cadence stated and provable, not implied |
| Licensing clarity | Redistribution, derivative, and end-customer rights findable before purchase |
| Delivery model | File, API, platform, or managed pipeline |
| Pricing transparency | Model disclosed; published pricing noted as the exception it is |
Two rules sit under the rubric. First, “No verified reviews” is a finding, not a gap to paper over; six providers on this list have zero third-party customer reviews, and we print that plainly. Second, employee reviews (Glassdoor) never count as customer evidence.
Disclosure: no vendor paid for placement. Forage AI is our product; it appears in Band 1 and is labeled as ours. All ratings and claims were verified on 2026-08-10.
Quick Summary
Q: How were these hotel data providers evaluated?
A: Against a printed evidence standard: ratings with sample sizes and access dates, coverage labeled vendor-claimed versus verified, freshness proof, licensing clarity, and pricing-model transparency. No vendor paid for placement; every claim was verified on 2026-08-10.
Hotel Data Providers at a Glance
With the rubric set, here is the full field it scored. Five categories, mapped to five buyer jobs. Scan the table, find your job, then jump to the band that matches. Every provider below gets a full entry with two tables: core facts and review evidence.
| Provider | Category | Best for |
|---|---|---|
| Forage AI | Custom & managed extraction | Custom hotel schemas at scale with managed refresh (our product, disclosed) |
| Ficstar | Custom & managed extraction | Enterprise competitive-pricing and custom hotel data projects |
| Hir Infotech | Custom & managed extraction | Budget custom scraping projects |
| All Top Hotels | Property database | Global hotel firmographics, contacts, and technographics |
| HotelMarketData | Property database | US construction-pipeline and pre-opening leads |
| MetricsDriven | Property database | Hotel-tech GTM teams profiling accounts by tech stack |
| BizInfor | Contact & email lists | Cheap one-shot outreach lists, decay risk priced in |
| BookYourData | Contact & email lists | Best-reviewed pay-as-you-go hotel contacts |
| InfoGlobalData | Contact & email lists | Segment-filtered hotel lists at low cost |
| STR (CoStar) | Market analytics | The benchmarking standard (STAR report) |
| Lighthouse | Market analytics | Rate, parity, and demand intelligence |
| Amadeus (Demand360) | Market analytics | Forward-looking on-the-books demand |
| RateGain | Market analytics | Rate and parity data across 800+ channels (vendor-claimed) |
| AirDNA | Market analytics | Short-term-rental market adjacency |
| Bright Data | OTA rate data & DIY | Engineering teams wanting DIY infrastructure or per-record datasets |
| Makcorps | OTA rate data & DIY | Cheap hotel price API with published pricing |
| Xotelo | OTA rate data & DIY | Free TripAdvisor-based rates API for prototypes |
Best Custom & Managed Hotel Data Extraction
This band exists for one buyer: the team whose target schema, scale, or freshness outruns every packaged product on this list. When you need room count plus ownership-versus-management plus tech stack plus contacts, refreshed on a defined cadence, no census database ships that file. Custom extraction builds it. Disclosure repeated: Forage AI is our product, and this band is where we make our case.
1. Forage AI
| Attribute | Detail |
|---|---|
| Best for | Custom hotel firmographic schemas at scale, with managed refresh |
| Data types | Property firmographics, OTA/rate data, amenity data, contact enrichment |
| Coverage | Extraction across 500M+ websites (capability scope, not a hotel census) |
| Delivery | Maintained pipeline: CSV/JSON/XML or API |
| Pricing model | Quote-scoped custom engagement; no published pricing |
| Standout strength | Delivers the data, not just the pipeline; 3x QA team on every delivery |
| Watch-out | Overkill for a one-off cheap list; quote-scoped pricing means procurement lead time |
| Attribute | Detail |
|---|---|
| Ratings (as of Aug 2026) | Our product: see methodology disclosure; no self-assigned rating |
| Evidence quality | Disclosed first-party entry; capability claims per our published scale metrics |
| What reviewers praise | n/a (disclosure entry, not a reviewed one) |
| What reviewers complain about | n/a (disclosure entry) |
| Source | Methodology disclosure (How We Evaluated) |
What it is. Forage AI is fully managed, custom web data extraction: hotel property firmographics pulled from business websites and directories, OTA and rate data, amenity data, and contact enrichment, delivered as a maintained pipeline rather than a static file. You define the fields; we build and maintain the extraction across 500M+ websites of capability scope, with multi-layered QA and human-in-the-loop validation. Forage AI handles selector drift, anti-bot evolution, and schema changes as part of the service; onboarding typically runs 1-2 weeks, under a SOC 2 posture.
Best for. Teams whose schema does not exist in any packaged database: a defined attribute set (rooms, chain scale, ownership versus management, tech stack, contacts) refreshed on a cadence you set. Not for: a one-off cheap contact list or a self-serve dataset download; Bands 2 and 3 serve that buyer better and cheaper.
What customers say. We hold ourselves to the same evidence bar as everyone else here, which means no self-assigned rating and no cherry-picked testimonial. Pressure-test us the way the methodology says to pressure-test every vendor: ask for a sample file and a refresh-cadence commitment.
2. Ficstar
| Attribute | Detail |
|---|---|
| Best for | Enterprise competitive-pricing and custom hotel data projects |
| Data types | Custom web data collection; hotel rate and competitive data specialty |
| Coverage | Project-based; no published record counts (vendor positioning, as of Aug 2026) |
| Delivery | Managed end-to-end collection: infrastructure, proxies, parsing, delivery |
| Pricing model | Custom quote per project |
| Standout strength | Two decades of managed enterprise scraping (founded 2005) |
| Watch-out | No self-serve option; project scoping required before you see data |
| Attribute | Detail |
|---|---|
| Ratings (with n, accessed 2026-08-10) | G2 5.0/5 (n=71), corroborated via secondary sources |
| Evidence quality | Corroborated-secondary (G2 seller page via search index) |
| What reviewers praise | Fully managed delivery quality; hands-off pipeline |
| What reviewers complain about | No recurring public complaint at this n; negative signal is thin rather than absent-by-verification |
| Source | G2 |
What it is. Ficstar is a Toronto-based managed web scraping firm, running since 2005, that builds end-to-end collection per project spec: infrastructure, proxies, parsing, and delivery all handled. Hotel rate and competitive-pricing data is a stated specialty.
Best for. Enterprises that want competitive hotel pricing or custom hotel data handled by a managed vendor with a long operating history. Not for: self-serve buyers or teams that want a downloadable dataset today.
What customers say. Ficstar holds a G2 rating of 5.0/5 at n=71 (accessed 2026-08-10). A flat 5.0 at that sample size is unusually high; we print it with its n and leave the interpretation to you. Reviewers credit the fully managed delivery quality; we found no recurring public complaint, which we note as thin negative signal rather than proof of none. Ficstar also ranks on this query with its own listicle, so treat its self-descriptions as vendor-claimed, like everyone’s.
3. Hir Infotech
| Attribute | Detail |
|---|---|
| Best for | Budget custom scraping projects |
| Data types | Custom extraction, scraping, validation, API delivery; hotels among several verticals |
| Coverage | Self-claims only; no published counts (as of Aug 2026) |
| Delivery | Scraping services with API delivery |
| Pricing model | Quote-scoped |
| Standout strength | Low-cost entry into custom extraction |
| Watch-out | No enterprise SLA or stated compliance posture |
| Attribute | Detail |
|---|---|
| Ratings (with n, accessed 2026-08-10) | No verified reviews at meaningful scale (Trustpilot n=1, Clutch n=1) |
| Evidence quality | Corroborated-secondary; below meaningful sample size |
| What reviewers praise | Insufficient review base to generalize |
| What reviewers complain about | Insufficient review base to generalize |
| Source | Trustpilot, Clutch |
What it is. Hir Infotech is a small India-based data extraction shop covering scraping, validation, and API delivery across multiple verticals, hotels included. It ranks on this query with its own five-item listicle.
Best for. Budget custom-scraping projects where price beats process. Not for: enterprise SLAs, compliance-sensitive programs, or any buyer who needs contractual guarantees around data quality.
What customers say. There is almost nothing to report, and that is the report: no verified reviews at meaningful scale (Trustpilot n=1, Clutch n=1, accessed 2026-08-10). If you engage a shop at this evidence level, scope a small paid pilot before anything recurring.
Quick Summary
Q: Who are the best custom and managed hotel data extraction providers?
A: Forage AI for managed pipelines at custom schema and scale (our product, disclosed and unrated by design), Ficstar for enterprise competitive-pricing projects (G2 5.0/5, n=71), and Hir Infotech for budget custom scraping (no verified reviews at meaningful scale). Choose this band when no packaged database fits.
For a deeper walkthrough of what custom company-data pipelines involve, see our company data extraction guide.
Best Hotel Property Databases (Hotel Firmographic Data)
This is the purest hotel-firmographics band: property census plus contacts plus technographics, the data type the primer defined. It is also where the ownership group versus management company versus brand/flag distinction earns its keep; a record that blurs the three tells you a hotel exists but not who signs contracts for it. And this band carries the starkest evidence-standard finding in the article: not one of these three vendors has a single third-party customer review.
4. All Top Hotels (ATH)
| Attribute | Detail |
|---|---|
| Best for | Global hotel firmographics, contacts, and technographics in one product |
| Data types | Property profiles (rooms, stars, amenities), decision-maker contacts, technographics (PMS, booking engine, channel manager) |
| Coverage | “220+ countries”, “100+ sources”, 250+ filters (vendor-claimed, as of Aug 2026); no disclosed record counts |
| Delivery | CSV + API, subscription platform |
| Pricing model | Subscription tiers; no published figures |
| Standout strength | Broadest attribute set in the band, technographics included |
| Watch-out | No disclosed record counts and no third-party reviews; sample before subscribing |
| Attribute | Detail |
|---|---|
| Ratings (accessed 2026-08-10) | No verified reviews (as of Aug 2026) |
| Evidence quality | Vendor-claimed coverage; undisclosed record counts are themselves an evidence finding |
| What reviewers praise | No review corpus to draw from |
| What reviewers complain about | No review corpus to draw from |
| Source | G2, Capterra, Trustpilot searched 2026-08-10; no listings found |
What it is. All Top Hotels is a global hotel census database: property profiles with rooms, star rating, amenities, and contact details, plus decision-maker contacts and hotel technographics, filtered through a claimed 250+ filters and delivered by CSV or API.
Best for. The seller-into-hotels who wants firmographics, contacts, and tech-stack data from one subscription with global reach. Not for: performance benchmarking; there is no occupancy/ADR panel here.
What customers say. Nothing, verifiably: no verified reviews on G2, Capterra, or Trustpilot (searched 2026-08-10). Pair that with “220+ countries” and “100+ sources” claims (vendor-claimed) alongside zero disclosed record counts, and the pre-purchase move writes itself: demand a country-level sample file with record counts before subscribing.
5. HotelMarketData (Hubexo)
| Attribute | Detail |
|---|---|
| Best for | US construction-pipeline and pre-opening leads, plus existing-hotel profiles |
| Data types | Hotel Construction DB (projects, key dates, rooms, scale, value, contacts) and Hotel Profiles DB (GM/owner contacts, brand, scale, amenities) |
| Coverage | “67,000+ hotel construction leads and profiles” (vendor-claimed, as of Aug 2026); US-only |
| Delivery | Subscription platform; reports by project, company, or people |
| Pricing model | Subscription incl. monthly option; free demo + 7-day trial, no card |
| Standout strength | The only construction-pipeline angle on this list: leads before a hotel opens |
| Watch-out | US-only; no third-party reviews; vendor’s own count varies between pages |
| Attribute | Detail |
|---|---|
| Ratings (accessed 2026-08-10) | No verified reviews (as of Aug 2026); first-party testimonials only |
| Evidence quality | Vendor-claimed; note the count inconsistency (Features page “67,000+”, About page “~70,000”) |
| What reviewers praise | No third-party review corpus |
| What reviewers complain about | No third-party review corpus |
| Source | Third-party review platforms searched 2026-08-10; none found |
What it is. HotelMarketData, run by Hubexo (formerly BuildCentral), sells two US databases: Hotel Construction (pipeline projects with key dates, rooms, chain scale, value, and owner/developer/architect/contractor contacts) and Hotel Profiles (existing hotels with GM and owner contacts). Updates run daily, Monday through Friday (vendor-claimed).
Best for. FF&E, F&B, and pre-opening service sellers who need to reach a hotel before it opens, when the buying decisions are being made. Not for: global coverage or any form of rate data.
What customers say. No third-party reviews exist (searched 2026-08-10); the testimonials are all first-party. One detail our verification pass caught: the Features page claims “67,000+” construction leads and profiles while the About page says “~70,000”. A vendor whose own pages disagree on its headline count is not disqualified, but it is exactly why this guide labels every count vendor-claimed. The free 7-day trial is the honest way in: test your territory before paying.
6. MetricsDriven
| Attribute | Detail |
|---|---|
| Best for | Hotel-tech GTM teams profiling accounts by PMS and booking-engine stack |
| Data types | Hotel firmographic + technographic profiles; near-real-time rate feed |
| Coverage | Vendor-claimed; no disclosed global record counts (as of Aug 2026) |
| Delivery | Per-country datasets, JSON/CSV via S3 or email; sells via Datarade |
| Pricing model | Quote-scoped / per-dataset |
| Standout strength | Built specifically for hotel-tech vendor GTM, the exact reader of this guide |
| Watch-out | No third-party reviews; speed claims are vendor-claimed |
| Attribute | Detail |
|---|---|
| Ratings (accessed 2026-08-10) | No verified reviews (as of Aug 2026) |
| Evidence quality | Vendor-claimed (OSINT sourcing described first-party) |
| What reviewers praise | No review corpus |
| What reviewers complain about | No review corpus |
| Source | Review platforms searched 2026-08-10; none found |
What it is. MetricsDriven is a London-based provider building hotel firmographic and technographic profiles from open-source intelligence across OTAs, metasearch, and directories, aimed at hotel-tech vendors’ go-to-market teams. It also claims a worldwide rate-scraping capability at speed (“under 3 seconds” per hotel, a vendor claim we could not verify).
Best for. Hotel-tech vendors segmenting accounts by what a property runs: PMS, booking engine, channel manager. That is squarely the technographics use case. Not for: buyers who only need a contact list; this is a profiling product.
What customers say. No verified reviews (searched 2026-08-10), the third such finding in a three-vendor band. This whole category sells firmographic truth about hotels while carrying zero third-party evidence about itself. Sample first, subscribe second.
Quick Summary
Q: What is the best hotel property database?
A: All Top Hotels for global property, contact, and technographic coverage; HotelMarketData for US construction-pipeline leads; MetricsDriven for hotel-tech account profiling. None of the three carries a single third-party review (verified 2026-08-10), so demand a sample file before subscribing.
Best Hotel Contact & Email List Vendors
A property database tells you which hotels fit your ICP; this band sells the other half, who to reach there. Contact lists are the fastest way into hotel outreach and the fastest way to burn a sending domain. Two facts frame this band. First, list decay is structural: GM and franchise-management turnover means contact records rot on a clock. Second, every count below is vendor-claimed by design; no independent registry exists to check a “420K contacts” claim against. US email compliance gets its full treatment in the licensing section; the short version closes this band.
7. BizInfor
| Attribute | Detail |
|---|---|
| Best for | Cheap one-shot outreach lists where decay risk is priced in |
| Data types | Hotel contacts: GMs, owners, F&B, revenue managers; records carry room count, brand, firmographics |
| Coverage | “420K+ hotel contacts”, “720K+ hospitality” (vendor-claimed, as of Aug 2026) |
| Delivery | One-time list purchase |
| Pricing model | One-time purchase; no published figures |
| Standout strength | Segment breadth across hotel roles; AHLA/AAHOA sourcing claims |
| Watch-out | Zero verified reviews behind a 420K-contact claim |
| Attribute | Detail |
|---|---|
| Ratings (accessed 2026-08-10) | No verified reviews (as of Aug 2026); no Trustpilot or G2 rating located |
| Evidence quality | Vendor-claimed throughout; sourcing claims (AHLA/AAHOA rolls, franchise disclosures) unverified |
| What reviewers praise | No review corpus |
| What reviewers complain about | No review corpus |
| Source | Trustpilot, G2 searched 2026-08-10; only unrated directory profiles found |
What it is. BizInfor sells hotel email lists spanning GMs, owners, F&B leads, and revenue managers, with records that carry room count, brand, and firmographic fields. Sourcing claims include AHLA and AAHOA membership rolls and franchise disclosure documents, all vendor-claimed.
Best for. One-shot outreach where you have priced in decay and verification costs. Not for: buyers who need verifiable accuracy or a refresh guarantee.
What customers say. Here is the band’s headline finding: a vendor claiming 420,000+ hotel contacts has no verified reviews anywhere we searched (Trustpilot, G2, accessed 2026-08-10; only unrated directory profiles surfaced). Six-figure claims, zero-figure evidence: the exact pattern the evidence standard exists to expose. If you buy here, buy a small segment first and bounce-test it.
8. BookYourData
| Attribute | Detail |
|---|---|
| Best for | Best-reviewed pay-as-you-go hotel contact lists |
| Data types | Hotel/motel contact lists with claimed real-time email verification |
| Coverage | “433,828 verified hospitality contacts”, claimed 97% accuracy (both vendor-claimed, as of Aug 2026) |
| Delivery | Self-serve platform, pay-as-you-go credits; credits never expire |
| Pricing model | Pay-as-you-go credits (published on site) |
| Standout strength | The strongest verified review base of any list vendor on this page |
| Watch-out | Niche coverage gaps and thin fields on a share of contacts |
| Attribute | Detail |
|---|---|
| Ratings (with n, accessed 2026-08-10) | G2 4.9/5 (n≈370; n varies by capture date), corroborated via secondary sources |
| Evidence quality | Corroborated-secondary for ratings; coverage and accuracy claims vendor-claimed |
| What reviewers praise | Email accuracy; pay-as-you-go model with no subscription lock-in |
| What reviewers complain about | Coverage gaps in niche and small-business segments; thin fields on a share of contacts |
| Source | G2 (also listed on Capterra, TrustRadius, Trustpilot; n not captured) |
What it is. BookYourData is a pay-as-you-go B2B contact platform with a hotels-and-motels segment, claiming real-time email verification at purchase. Credits never expire, which removes the subscription-pressure dynamic most list vendors rely on.
Best for. Sample-then-buy workflows: it is the only pure list vendor in this band whose review base is large enough to mean something. Not for: full property firmographics; this is a contact product, not a census.
What customers say. G2 4.9/5 at n≈370 (accessed 2026-08-10; the n moved between 348 and 397 across August 2026 captures, so treat it as approximate). Reviewers praise email accuracy and the no-lock-in model; the recurring complaint is coverage gaps in niche segments and thin fields on a share of contacts. Keep the separation straight: the rating is verified at scale, while the “433,828 contacts” and “97% accuracy” figures remain vendor-claimed.
9. InfoGlobalData
| Attribute | Detail |
|---|---|
| Best for | Segment-filtered hotel lists at low cost |
| Data types | Hotel email lists segmented by chain, stars, size, amenities |
| Coverage | “104,032 hotels mailing list” (vendor-claimed, as of Aug 2026) |
| Delivery | One-time list purchase |
| Pricing model | One-time purchase; no published figures |
| Standout strength | Fine-grained segmentation filters for a list product |
| Watch-out | Mixed reviews citing deliverability below promised accuracy |
| Attribute | Detail |
|---|---|
| Ratings (with n, accessed 2026-08-10) | ResellerRatings 4.5/5 (n=5); 99Consumer average (n=15, mixed) |
| Evidence quality | Corroborated-secondary; small samples, mixed sentiment |
| What reviewers praise | List quality in hospitality and healthcare segments; responsive service |
| What reviewers complain about | Deliverability below promised accuracy (one cited 20% bounce); refund friction |
| Source | ResellerRatings, 99Consumer |
What it is. InfoGlobalData sells hotel email lists with segmentation by chain, star rating, property size, and amenities, on a one-time purchase model.
Best for. Low-cost, segment-filtered list buys where you will independently verify before sending. Not for: accuracy-critical campaigns without your own verification pass.
What customers say. The review base is small and split: ResellerRatings 4.5/5 at n=5, and a mixed “average” profile on 99Consumer at n=15 (accessed 2026-08-10). Praise centers on segment list quality and responsive service. The recurring complaint is the one that matters most in this category: deliverability below the promised accuracy (one reviewer cited a 20% bounce rate), plus refund friction. At these sample sizes, weigh direction over precision.
One compliance line before leaving this band.
Quick Summary
Q: Which hotel email list provider is best?
A: BookYourData has the strongest verified review base of any pure list vendor here (G2 4.9/5, n≈370). BizInfor claims 420K+ contacts with zero verified reviews; InfoGlobalData carries small, mixed reviews with deliverability complaints. Test a sample first; CAN-SPAM compliance stays yours.
Best Hotel Market Analytics & Benchmarking Data
Next come the names every hotel-data roundup leads with. These are the incumbents, and a caveat comes first: this band mostly sells to hotels, not to teams selling into them. For our reader, it answers “how is this market performing,” never “who do I call.” The market context is strong: in June 2026, CoStar and Tourism Economics raised their 2026 US hotel RevPAR growth forecast from 0.6% to 2.8%, citing room demand up more than 8 million room nights year over year through the first four months of 2026.
10. STR (CoStar)
| Attribute | Detail |
|---|---|
| Best for | Market benchmarking, feasibility, investor underwriting |
| Data types | Occupancy/ADR/RevPAR benchmarking (STAR report), supply/demand, pipeline, census fields |
| Coverage | 94,000 hotels / 12M rooms / 190+ countries (vendor-claimed, as of Aug 2026) |
| Delivery | Subscription reports and data products |
| Pricing model | Subscription; contact STR (no published figures) |
| Standout strength | The industry benchmarking standard; the STAR report is the shared language of hotel performance |
| Watch-out | Aggregated and anonymized; unusable for prospecting |
| Attribute | Detail |
|---|---|
| Ratings (accessed 2026-08-10) | No listing on major SaaS review platforms (as of Aug 2026) |
| Evidence quality | Vendor-claimed coverage; absence of review listings is normal for enterprise data subscriptions and is printed as the finding it is |
| What reviewers praise | No review corpus on G2/Capterra/Trustpilot |
| What reviewers complain about | No review corpus |
| Source | G2, Capterra, Trustpilot searched 2026-08-10 |
What it is. STR, a CoStar Group company, runs the industry-standard hotel benchmarking panel: the STAR report comparing a property’s occupancy, ADR, and RevPAR against its competitive set, plus supply, demand, and pipeline data, drawing on a vendor-claimed 94,000 hotels and 12 million rooms across 190+ countries.
Best for. Benchmarking, market feasibility, underwriting. If you sell capital-market services or need market truth for planning, this is the reference data. Not for: lead generation of any kind.
What customers say. STR has no listing on the major SaaS review platforms (searched 2026-08-10), common for enterprise data subscriptions and printed here as a finding, not a fault. The practical warning matters more:
11. Lighthouse (formerly OTA Insight)
| Attribute | Detail |
|---|---|
| Best for | Rate, parity, and demand intelligence; a growing data-feed arm for data buyers |
| Data types | Rate shopping, parity monitoring, demand and market intelligence; DaaS feeds |
| Coverage | 70,000+ hospitality providers in 185 countries; ~1.8B hotel prices monitored daily (vendor-claimed, as of Aug 2026) |
| Delivery | SaaS per property/module; separate Data Solutions channel for feeds |
| Pricing model | Subscription; no published figures |
| Standout strength | Largest verified review base in this guide (Hotel Tech Report, n=923) |
| Watch-out | Built for hotels’ revenue teams; data buyers go through a separate channel |
| Attribute | Detail |
|---|---|
| Ratings (with n, accessed 2026-08-10) | Hotel Tech Report 96% (n=923 verified reviews), corroborated via secondary sources |
| Evidence quality | Corroborated-secondary for rating; coverage vendor-claimed |
| What reviewers praise | Real-time rate accuracy; screenshot verification of parity discrepancies |
| What reviewers complain about | Product orientation toward hotels’ own revenue teams (positioning limitation, not a review quote) |
| Source | Hotel Tech Report |
What it is. Lighthouse, the company formerly known as OTA Insight, sells rate shopping, parity, and demand intelligence to hotels, and monitors a vendor-claimed ~1.8 billion hotel prices daily. Its Data Solutions arm sells rate and market data feeds directly to data buyers, a signal that the analytics incumbents are entering the data-provider market outright.
Best for. Rate and demand intelligence, and (through Data Solutions) rate feeds for B2B data buyers. Not for: property contact data; there are no prospecting fields here.
What customers say. Lighthouse carries the largest verified review base in this guide: 96% on Hotel Tech Report at n=923, plus four HotelTechAwards categories won in 2024 (accessed 2026-08-10). Reviewers credit real-time rate accuracy and screenshot-verified parity discrepancies. The watch-out is structural: the flagship serves hotels’ revenue teams, so a data buyer’s path runs through a separate channel with its own scoping.
12. Amadeus Hospitality (Demand360)
| Attribute | Detail |
|---|---|
| Best for | Forward-looking on-the-books demand and booking-pace benchmarking |
| Data types | Demand360 forward demand data; agency and rate business intelligence |
| Coverage | 41,000+ hotels and 35M short-term rentals; 12-months-forward window (vendor-claimed, as of Aug 2026) |
| Delivery | Subscription/participation program (contribute data to see compset data) |
| Pricing model | Subscription; no published figures |
| Standout strength | The only 12-months-forward on-the-books window in the band |
| Watch-out | Forward compset data is occupancy-only (documented limitation) |
| Attribute | Detail |
|---|---|
| Ratings (accessed 2026-08-10) | Reviews on Hotel Tech Report, HT Score 73 (n unverified) |
| Evidence quality | Corroborated-secondary; n could not be verified, so the score is printed with that caveat |
| What reviewers praise | Pace, Groups, and Segment & Channels reports for day-to-day revenue decisions |
| What reviewers complain about | Forward-looking compset ADR/RevPAR unavailable (occupancy only) |
| Source | Hotel Tech Report |
What it is. Amadeus Hospitality’s Demand360 product sells forward-looking, on-the-books demand and booking-pace benchmarking with a 12-months-forward window, on a participation model: hotels contribute their data to see the compset’s.
Best for. Anyone whose planning depends on where demand is going rather than where it has been: forward pace, group pickup, channel mix. Not for: lead data, or buyers who only need backward-looking reporting.
What customers say. Amadeus carries reviews on Hotel Tech Report with an HT Score of 73, at a sample size we could not verify (accessed 2026-08-10), so the score ships with that caveat. Reviewer themes credit the Pace, Groups, and Segment & Channels reports. The documented limitation to price in: forward-looking compset data covers occupancy only, not ADR or RevPAR.
13. RateGain
| Attribute | Detail |
|---|---|
| Best for | Rate and parity data across a claimed 800+ channels |
| Data types | Rate intelligence, OTA parity, demand data |
| Coverage | 1,500+ partners, 1,100+ data sources, 800+ channels (vendor-claimed, as of Aug 2026) |
| Delivery | Enterprise SaaS; free trial for Navigator |
| Pricing model | Enterprise subscription; no published figures |
| Standout strength | Channel breadth, incl. metasearch and GDS; NSE-listed public company |
| Watch-out | Thin public review corpus for a listed company (n=12) |
| Attribute | Detail |
|---|---|
| Ratings (with n, accessed 2026-08-10) | G2 seller-level 4.3/5 (n=12), corroborated via secondary sources |
| Evidence quality | Corroborated-secondary; small n printed plainly |
| What reviewers praise | Breadth across channels and GDS |
| What reviewers complain about | Small review corpus itself; limited public customer evidence |
| Source | G2 (Glassdoor’s 700+ reviews are employee reviews and do not count as customer evidence) |
What it is. RateGain sells rate intelligence, OTA parity monitoring, and demand data across a vendor-claimed 800+ channels, spanning metasearch, GDS, OTAs, and brand sites. It is a public company, listed on India’s NSE.
Best for. Chains and OTAs needing rate and parity coverage across the widest channel spread in the band. Not for: hotel firmographics or contacts.
What customers say. The number worth staring at is the sample size: G2 4.3/5 at n=12 (accessed 2026-08-10). Twelve public reviews for a listed company claiming 1,500+ partners is a thin evidence base, printed plainly. It likely reflects enterprise sales motion more than product truth; the fix is to ask for reference customers in your segment.
14. AirDNA
| Attribute | Detail |
|---|---|
| Best for | Short-term-rental market analytics adjacent to hotel analyses |
| Data types | STR-market occupancy, ADR, revenue by market; enterprise API |
| Coverage | 10M+ Airbnb/Vrbo listings across 120K markets (vendor-claimed, as of Aug 2026) |
| Delivery | SaaS platform + enterprise API |
| Pricing model | Published SaaS tiers + enterprise API quote |
| Standout strength | The default name in short-term-rental market data |
| Watch-out | Weakest review profile in this band; property-level accuracy disputes |
| Attribute | Detail |
|---|---|
| Ratings (with n, accessed 2026-08-10) | G2 3.6/5 (n=4); Capterra 1.5/5 (n=2) |
| Evidence quality | Corroborated-secondary; tiny samples printed as such (a “4.1/5 across 400+ reviews” aggregate circulates in secondary roundups but is unverified) |
| What reviewers praise | Market-level competitive insights; ease of use |
| What reviewers complain about | Data-accuracy disputes at property level; billing and cancellation complaints |
| Source | G2, Capterra |
What it is. AirDNA sells short-term-rental market analytics, occupancy, ADR, and revenue across a vendor-claimed 10M+ Airbnb and Vrbo listings in 120K markets, with an enterprise API. It appears in nearly every hotel-data roundup as the STR-rental adjacency, and we include it on those terms.
Best for. Mixed hotel and short-term-rental market analyses, where rental supply is part of your competitive picture. Not for: hotel property or contact data of any kind.
What customers say. Honesty requires the caveat: this is the weakest review profile in the band. G2 shows 3.6/5 at n=4 and Capterra 1.5/5 at n=2 (accessed 2026-08-10); a “400+ reviews” aggregate circulates in secondary roundups but could not be verified, so it stays out of the evidence column. Complaints center on property-level accuracy and billing; praise on market-level insight. Run your own market spot-checks before relying on it.
CoStar’s overlap with commercial property data runs deeper than hotels; our commercial real estate data tools guide covers that adjacent market.
Quick Summary
Q: What is the best hotel market analytics and benchmarking provider?
A: STR (CoStar) is the benchmarking standard; Lighthouse leads rate intelligence with the largest verified review base here (Hotel Tech Report 96%, n=923); Amadeus owns forward demand, RateGain channel spread, AirDNA the rental adjacency. None sells prospecting data.
Best OTA Rate Data & DIY Scraping Options
This band is the market reality check: when what you need is live OTA rates rather than firmographics, the options run from full DIY infrastructure to a free API. It suits engineering-led teams, and it carries the sharpest terms-of-service exposure on this page, covered fully in the licensing section below. One buyer error to avoid up front: scraped OTA rate data is a rate snapshot, not a property census; misreading it as firmographics is a recurring mistake.
15. Bright Data
| Attribute | Detail |
|---|---|
| Best for | Engineering teams that want DIY infrastructure or off-the-shelf travel datasets |
| Data types | Productized hotel/travel datasets, travel scraper APIs, proxy and unblocking infrastructure |
| Coverage | Per-record productized datasets; scope varies by dataset (as of Aug 2026) |
| Delivery | Self-serve datasets, APIs, proxy infrastructure |
| Pricing model | Datasets priced per record; scraper APIs and proxy infrastructure billed by usage |
| Standout strength | Infrastructure reliability at scale, per reviewer themes |
| Watch-out | Pricing and dashboard complexity for smaller teams |
| Attribute | Detail |
|---|---|
| Ratings (with n, accessed 2026-08-10) | G2 4.6/5 (n≈240–295 depending on capture); Trustpilot 4.0/5 (n≈997) |
| Evidence quality | Corroborated-secondary (review-platform snapshots) |
| What reviewers praise | Proxy infrastructure reliability at scale; fast support |
| What reviewers complain about | Pricing and dashboard complexity for smaller teams |
| Source | G2, Trustpilot |
What it is. Bright Data sells productized hotel and travel datasets priced per record, travel scraper APIs, and the proxy and unblocking infrastructure underneath them. It is the DIY-leaning heavyweight of this band, and it ranks #1 on this query with its own five-item guide.
Best for. Teams with scraping engineers on staff who want infrastructure control or a per-record dataset without a services engagement. Not for: teams without in-house scraping engineering; running proxies, parser maintenance, and anti-bot adaptation yourself is a real ongoing engineering commitment, and that is the honest boundary between this band and the managed band above.
What customers say. The review base is the deepest in this band: G2 4.6/5 (n≈240–295 depending on capture) and Trustpilot 4.0/5 (n≈997), accessed 2026-08-10. Reviewers credit infrastructure reliability at scale and fast support; the recurring complaint is pricing and dashboard complexity for smaller teams. Both themes point one direction: value scales with the engineering sophistication of the buyer.
16. Makcorps
| Attribute | Detail |
|---|---|
| Best for | Developers needing cheap, quick OTA rate comparison |
| Data types | Hotel price comparison API: rates from 200+ OTAs (vendor-claimed, as of Aug 2026) |
| Coverage | City and hotel-ID endpoints, JSON output |
| Delivery | REST API |
| Pricing model | Published annual API tiers with a free tier, one of the few vendors on this list with public pricing |
| Standout strength | Pricing transparency; lowest-friction paid entry into rate data |
| Watch-out | Small review corpus; occasional freshness notes in secondary reviews |
| Attribute | Detail |
|---|---|
| Ratings (with n, accessed 2026-08-10) | G2 4.2/5 (n=12), corroborated via secondary sources |
| Evidence quality | Corroborated-secondary; coverage claim vendor-claimed |
| What reviewers praise | Simple JSON integration |
| What reviewers complain about | Small review corpus; occasional data-freshness notes |
| Source | G2 (also listed on Hotel Tech Report) |
What it is. Makcorps is a hotel price comparison API returning rates from a vendor-claimed 200+ OTAs through city and hotel-ID endpoints in JSON.
Best for. Developers who need working rate comparison this week at low cost. Not for: property firmographics, or compliance-sensitive enterprise pipelines that need contractual data-provenance guarantees.
What customers say. G2 4.2/5 at n=12 (accessed 2026-08-10), with praise for simple JSON integration and occasional data-freshness notes in secondary reviews. Its standout is transparency: Makcorps publishes annual API tiers including a free tier, one of the few vendors on this list with public pricing. In a market this opaque, that earns the mention.
17. Xotelo
| Attribute | Detail |
|---|---|
| Best for | Prototypes and free rate lookups |
| Data types | Hotel rates API (TripAdvisor-based OTA rates) |
| Coverage | Hotels listed on TripAdvisor (as of Aug 2026) |
| Delivery | REST/JSON API |
| Pricing model | Free (donation-supported); the free tier is the pricing model |
| Standout strength | The genuine free option in hotel rate data |
| Watch-out | TripAdvisor-derived data carries terms-of-service risk; no production SLA |
| Attribute | Detail |
|---|---|
| Ratings (accessed 2026-08-10) | No verified reviews (as of Aug 2026) |
| Evidence quality | First-party description only |
| What reviewers praise | No review corpus |
| What reviewers complain about | No review corpus |
| Source | Review platforms searched 2026-08-10; none found |
What it is. Xotelo is a free, donation-supported REST API returning TripAdvisor-based OTA rates for any hotel that exists on TripAdvisor.
Best for. Prototypes, side projects, and free rate lookups before committing budget. Not for: production systems needing an SLA, or any use where licensing clarity matters; the data derives from TripAdvisor, which carries its own terms-of-service exposure.
What customers say. No verified reviews (searched 2026-08-10), which is unsurprising for a free, donation-supported tool. Judge it as what it is: a zero-cost way to learn whether rate data moves your metrics before you pay anyone for it.
If competitive price monitoring is the underlying job, our competitor price tracking tools comparison covers that market in depth.
Quick Summary
Q: What are the best options for OTA hotel rate data?
A: Bright Data for DIY-scale infrastructure and per-record datasets (G2 4.6/5, n≈240–295), Makcorps for a low-cost rate API with published pricing (G2 4.2/5, n=12), and Xotelo for a free TripAdvisor-based API (no reviews, no SLA). All three carry OTA terms-of-service risk, covered below.
Hotel Data Providers Compared (Master Table)
The per-item tables answered “what is each provider.” This one answers “how do they differ at a glance,” and the evidence-quality column does the work no other guide on this query does: it shows which vendors carry verified review bases and which carry only their own claims.
| Provider | Band | Best for | Coverage (vendor-claimed) | Evidence quality (reviews, n) | Pricing model | Watch-out |
|---|---|---|---|---|---|---|
| Forage AI | Custom/managed | Custom schemas, managed refresh | 500M+ websites (capability scope) | Our product; disclosed, no self-rating | Quote-scoped | Overkill for one-off lists |
| Ficstar | Custom/managed | Enterprise pricing projects | Project-based | G2 5.0/5 (n=71) | Custom quote | No self-serve |
| Hir Infotech | Custom/managed | Budget custom scraping | Self-claims only | No verified reviews at meaningful scale (n=1+1) | Quote-scoped | No SLA/compliance posture |
| All Top Hotels | Property DB | Global firmographics + technographics | 220+ countries; no record counts | No verified reviews | Subscription | Undisclosed counts |
| HotelMarketData | Property DB | US construction-pipeline leads | 67,000+ leads/profiles, US-only | No verified reviews | Subscription + trial | US-only; count inconsistency |
| MetricsDriven | Property DB | Hotel-tech account profiling | No disclosed counts | No verified reviews | Quote/per-dataset | Speed claims unverified |
| BizInfor | Contact lists | Cheap one-shot lists | 420K+ hotel contacts | No verified reviews | One-time purchase | Zero evidence behind big claims |
| BookYourData | Contact lists | Pay-as-you-go contacts | 433,828 contacts; 97% accuracy | G2 4.9/5 (n≈370) | Pay-as-you-go | Niche coverage gaps |
| InfoGlobalData | Contact lists | Segment-filtered lists | 104,032 hotels | ResellerRatings 4.5/5 (n=5); mixed (n=15) | One-time purchase | Deliverability complaints |
| STR (CoStar) | Market analytics | Benchmarking standard | 94,000 hotels / 190+ countries | No listing on review platforms | Subscription (contact STR) | Cannot prospect from it |
| Lighthouse | Market analytics | Rate/demand intelligence | ~1.8B prices daily / 185 countries | HTR 96% (n=923) | Subscription | Data buyers via separate channel |
| Amadeus Demand360 | Market analytics | Forward demand | 41,000+ hotels, 12-mo forward | HTR score 73 (n unverified) | Participation subscription | Forward compset = occupancy only |
| RateGain | Market analytics | Channel-spread rate data | 800+ channels | G2 4.3/5 (n=12) | Enterprise subscription | Thin review corpus |
| AirDNA | Market analytics | STR-rental adjacency | 10M+ listings / 120K markets | G2 3.6/5 (n=4); Capterra 1.5/5 (n=2) | Published tiers + API quote | Weakest reviews in band |
| Bright Data | OTA rate/DIY | DIY infra + datasets | Per-record datasets | G2 4.6/5 (n≈240–295); Trustpilot 4.0/5 (n≈997) | Per-record + usage | Complexity for small teams |
| Makcorps | OTA rate/DIY | Cheap rate API | 200+ OTAs | G2 4.2/5 (n=12) | Published tiers, free tier | Small corpus; freshness notes |
| Xotelo | OTA rate/DIY | Free rates API | TripAdvisor-listed hotels | No verified reviews | Free | ToS risk; no SLA |
Quick Summary
Q: How do the best hotel data providers compare?
A: One row per provider across coverage, evidence quality, pricing model, and watch-out. The evidence-quality column is the differentiator: 8 of 17 providers carry a printable third-party rating, 6 carry no verified reviews at all.
Is It Legal to Buy or Scrape Hotel Data? Licensing and Compliance
The bands above kept deferring their legal questions to this section, so here it is. Short answer: buying lists is legal with conditions, scraping OTA rates is contested territory, and resale rights live in clauses most buyers never read. Three risk surfaces, one at a time.
Purchased email lists (CAN-SPAM). The CAN-SPAM Act does not require opt-in consent, so buying a list is not per se illegal in the US. But every message must carry truthful headers and subject lines, an ad disclosure, a physical postal address, and a working opt-out honored promptly; each separate violating email can draw civil penalties of up to $53,088 (FTC CAN-SPAM compliance guide; the figure is the FTC’s current inflation-adjusted maximum, verified August 2026, and adjusts annually). And the part that matters when buying from the list band: the FTC is explicit that legal responsibility cannot be contracted away to the list broker or your email platform.
Scraped OTA data (terms of service and the CFAA). The case to know is Ryanair v Booking.com. In July 2024, a Delaware federal jury found Booking.com violated the Computer Fraud and Abuse Act through screen-scraping of Ryanair’s website; the court later overturned the verdict because Ryanair failed to prove the CFAA’s $5,000 loss threshold.
Both halves matter: anyone quoting you only the verdict, or only the overturn, is selling something. Scraping public OTA data sits in contested territory governed by each website’s terms of service and evolving CFAA case law, not a settled green light. Booking.com’s own terms of service prohibit monitoring, copying, or scraping anything on its platform for any commercial purpose without written permission (Booking.com Terms of Service, checked August 2026). The case law is roughly two years old as of August 2026; check current status before relying on it.
Resale and derivative rights (the reseller’s section). If you resell data, license language matters more than coverage counts. Three clauses to read before you buy hotel data:
- Redistribution and sublicensing. License language that does not expressly mention redistribution, sublicensing, or resale almost certainly prohibits it. Silence is prohibition. API access ≠ resale rights.
- Derivative-data ownership. These clauses allocate who owns enrichments built on licensed data; a few providers claim ownership of anything derived from their records.
- End-customer rights. Without sublicensing language, your end customers may have no legal right to the data flowing through your product.
This article is for informational purposes only and does not constitute legal advice. Consult a qualified attorney for legal guidance specific to your situation.
Quick Summary
Q: Is it legal to buy hotel email lists or scrape hotel rate data?
A: Buying lists is legal in the US if your sending complies with CAN-SPAM; liability stays with you. Scraping OTA rates is contested territory (the July 2024 Ryanair v Booking.com verdict was later overturned); reselling requires explicit redistribution and sublicensing language.
How Do You Choose the Right Hotel Data Provider?
Licensing risk mapped, one decision remains. Match the provider to the job, not the demo. Every mistake in this guide, the bounced list, the un-prospectable STAR report, the census bought as a contact file, traces to category confusion. The decision tree:
- Selling into hotels? You need firmographics and contacts: a property database (Band 2) or a contact list (Band 3).
- Schema, scale, or freshness beyond any packaged product? Managed custom extraction (Band 1).
- Analyzing markets or underwriting deals? Benchmarking panels (Band 4).
- Tracking live rates? Rate APIs or DIY infrastructure (Band 5).
The second decision is the refresh trade-off. Buy-once lists decay from the day they ship; price the decay in. Subscription databases stay fresher but bill forever, whether or not the schema fits. Managed extraction costs the most up front and is the only route where refresh cadence and schema are contractual terms you set. Need the data once? Buy a list and budget verification. Need it fresh forever in a shape nobody packages? That is the custom-extraction trigger.
Before any signature, run five pre-purchase checks: demand a sample file for your exact segment; ask for refresh-cadence proof, not a claim; agree a dedupe and CRM-matching plan (hotel records fragment badly across sources; Forage AI’s Entity Matching Agent exists because clients kept hitting exactly this); confirm suppression-list handling for contacts; and read the three license clauses above. Choosing by coverage count alone means choosing by the least verifiable number on the page.
For the same decision run on general-purpose vendors, see our firmographic data providers comparison.
Quick Summary
Q: How do you choose the right hotel data provider?
A: Start from the job: property databases or contact lists to sell into hotels, benchmarking panels to analyze markets, rate APIs for live prices, managed extraction when no packaged schema fits. Then verify a sample file, refresh proof, dedupe plan, and license clauses before paying.
Expert Insights
- “The cautious optimism that framed our outlook earlier in the year has made way for a more robust forecast, driven by stronger demand from both the group and transient segments. Since our last revision, the industry has seen sustained performance growth, with room demand up by more than 8 million room nights year over year through the first four months of 2026.” (Jan Freitag, National Director of Hospitality Analytics, CoStar Group; June 2026 CoStar/Tourism Economics forecast revision, NYU International Hospitality Investment Forum)
- The property-database band’s defining evidence pattern: zero third-party reviews across all three vendors, paired with unverifiable coverage claims (“220+ countries”, “67,000+ leads”, all vendor-claimed as of Aug 2026). That makes the sample file the only trustworthy pre-purchase evidence; a vendor who refuses a sample is answering your real question.
- Legal-practice guidance on data licensing (Revision Legal; IAPP) reduces the reseller’s position to one rule: rights you cannot find in the license text are rights you do not have.
FAQ
Where can I find a database or list of all hotels in the US?
No public registry lists every US hotel, so you are choosing among commercial products: All Top Hotels and HotelMarketData sell US property databases; BizInfor, BookYourData, and InfoGlobalData sell US contact lists. For scale context, AHLA counted nearly 55,900 US properties and 5.3 million guest rooms in 2025, covering properties with 15 or more rooms. A database claiming meaningfully more US hotels than that deserves a question about its property-size floor.
What is hotel firmographic data?
Hotel firmographic data is the descriptive attributes of a hotel as a business: room count, chain scale, brand versus independent status, ownership group versus management company versus flag, ADR band, amenities, and technology stack. It is the hotel-vertical equivalent of B2B firmographics, and it is what you need to qualify hotel accounts before outreach.
How much does STR data cost?
STR does not publish pricing; it sells subscriptions and report products through its sales team, so the honest answer is “contact STR.” Third-party pages circulate figures, but none are first-party, so we do not print them. Budget-wise, treat it as an enterprise data subscription and expect scoping by market and product.
Is there a free hotel data API?
Yes, with caveats. Xotelo offers a free TripAdvisor-based rates API suited to prototypes, and Makcorps offers a free tier on its published plans. Neither carries a production SLA, and TripAdvisor-derived data has terms-of-service exposure. One fence: hotel booking and content APIs (Sabre, Zentrumhub and similar) serve travel-app developers, not data buyers; a hotel API provider is not a hotel data provider.
Can I prospect hotels from an STR report?
No. STAR-report data is aggregated and anonymized benchmarking; it shows market occupancy, ADR, and RevPAR, never property-level contacts. To prospect, you need a property database or contact list. Buying benchmarking data expecting lead data is the most common category error in this market.
Are purchased hotel email lists CAN-SPAM compliant?
The list itself is neither compliant nor non-compliant; compliance attaches to your sending practices. CAN-SPAM permits sending to purchased lists if every message has truthful headers, an ad disclosure, a postal address, and an honored opt-out. Liability is non-delegable: the compliance burden is yours regardless of what the vendor promises.
Conclusion
The hotel data market is noisy and self-interested; four of the five guides ranking for this query list themselves. But that is exactly why a buyer holding one evidence bar can move fast: ratings read with their sample sizes, coverage counts treated as vendor-claimed until sampled, licenses read before signature. Hold every vendor to that bar and 17 options collapse into a shortlist of 2 or 3 in an afternoon.
The team that bounced a third of a purchased list did not have a vendor problem so much as an evidence-standard problem: they paid for a claim nobody had checked. Check first, and the messy market becomes a navigable one. And when the schema you need exists in no packaged product on this page, that is the signal for custom managed extraction; it is the gap Forage AI was built to close.
Sources
- American Hotel & Lodging Association (2025): 2025 State of the Industry Report. US property, room, and spending figures. ahla.com
- CoStar Group & Tourism Economics (2026): June 2026 revised US hotel forecast (RevPAR 0.6% to 2.8%) and Jan Freitag remarks. costar.com press release; secondary confirmation: Hotel Dive
- Grand View Research (2025): Data marketplace market sizing, 2025 valuation and 2030 projection. grandviewresearch.com
- Federal Trade Commission: CAN-SPAM Act Compliance Guide for Business; per-email civil penalty maximum, verified August 2026. ftc.gov
- Demandbase: What is firmographic data? (general-firmographics definition). demandbase.com
- HG Insights: Firmographic data glossary; firmographics vs technographics distinction. hginsights.com
- STR (CoStar): Chain scale definition. str.com glossary
- Bloomberg Law (2024): Ryanair v Booking.com jury verdict coverage. news.bloomberglaw.com
- Eric Goldman, Technology & Marketing Law Blog (2024): Ryanair v Booking.com verdict overturn analysis. blog.ericgoldman.org
- Revision Legal: Data licensing agreements: what businesses should know. revisionlegal.com
- IAPP: Practical advice on data treatment in technology agreements. iapp.org
- Review platforms (accessed 2026-08-10): G2, Trustpilot, Capterra, ResellerRatings, 99Consumer, and Hotel Tech Report product pages for all ratings printed with sample sizes in this article.
- Vendor product pages (accessed 2026-08-10): All Top Hotels, HotelMarketData, MetricsDriven, BizInfor, BookYourData, InfoGlobalData, CoStar/STR, Lighthouse, Amadeus Hospitality, RateGain, AirDNA, Makcorps, Xotelo. Coverage claims recorded as vendor-claimed.
Related Articles
- Firmographic Data: The Complete Guide. The B2B foundation the hotel-firmographics layer in this article extends.
- Best Firmographic Data Providers in 2026: Complete Comparison Guide. The same evidence-standard comparison, run on general-purpose firmographic vendors.
- Commercial Real Estate Data Tools. The CoStar-adjacent property data market, compared for CRE teams.
- Company Data Extraction Guide. What custom company-data pipelines involve, end to end.
Sai is a data infrastructure enthusiast who has spent the past two to three years following the AI space closely, from the infrastructure layer to the fast-growing world of data for AI. He is genuinely curious about how modern data pipelines get built and where the data industry is heading, and he writes insightful pieces on the core topics that shape this niche.
