For Sales & Growth Teams · Hotels Resorts Cruise Lines
Hotels, Resorts & Cruise Lines Data for Sales Growth Teams
Hotels Resorts Cruise Lines data for sales: 15 datasets on one shelf. Every one delivered as API, files, or warehouse rows.
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API, files, or your warehouse. Daily, weekly, or hourly.
Which hotels, resorts & cruise lines datasets qualify for sales work?
This slice keeps the 15 hotels, resorts & cruise lines records that clear Datadory's relevance bar for sales and growth teams — 3 of them score top relevance, meaning the fields map onto prospecting directly rather than background context. Quality holds up too — the slice averages 7.7 of 10 versus a 7.81 catalog-wide mean, and nine records score 8 or higher. Browse the hotels-resorts-cruise-lines data hub for the full industry view, or see all sales-growth-teams resources for sibling industries.
The best hotels, resorts & cruise lines datasets for sales growth teams, ranked
Ranked by relevance to prospecting first, then quality score. Each one-liner is what you'd do with it Monday morning.
1. AHLA – Hospitality Economic Impact & State Facts Dashboard — Size hotel markets by rooms, properties and jobs per state or congressional district to set territory targets. Quality 8; bulk-download, annual.
2. OpenStreetMap Hotels via Overpass Turbo — Pull named hotel POIs per city as raw lead lists before enrichment.
3. CruiseMapper – Ship Tracker, Schedules & Fleet Database — Build line-by-line fleet profiles to prioritize outreach to operators adding ships.
4. Eurostat – Capacity of Tourist Accommodation (tour_cap_nat) — Rank countries by establishment counts to size hospitality markets for outbound targeting. Quality 9; bulk-download, annual.
5. Eurostat – Nights Spent at Tourist Accommodation (tour_occ_arn2) — Rank regions by tourist nights to prioritize territories for hospitality-sector selling. Quality 9; bulk-download, annual.
6. US NTTO I-94 International Visitor Arrivals Program — Identify which source markets send the most visitors when prioritizing travel-sector territories. Quality 9; bulk-download, monthly.
7. World Bank – International Tourism Arrivals (ST.INT.ARVL) — Rank destination countries by inbound tourism when sizing travel-sector territories. Quality 9; bulk-download, annual.
8. Amadeus Hotel Search & Booking APIs — Pull the Hotel List by city to build property-level prospect lists for hotel-tech outreach.
9. Eurostat Tourism Statistics Explained Hub — Pull headline travel-demand numbers to size European territories quickly. Quality 8; bulk-download, annual.
10. World Bank – International Tourism Receipts (ST.INT.RCPT.CD) — Size travel-economy markets by receipt values when prioritizing countries. Quality 8; bulk-download, annual.
12. Cruise Industry News – Orderbook & Fleet Reports — Target shipyards, yards suppliers and lines by their confirmed newbuild pipelines.
13. UK ONS – Tourism Industry & Accommodation Services — Size UK inbound travel demand when targeting travel-sector accounts. Quality 7; bulk-download, monthly.
15. CLIA – Cruise Lines International Association Research — Use passenger-volume and fleet stats to size cruise-sector accounts and pitch decks. Quality 5; request-form, annual.
How do you size and rank hospitality territories with hard numbers?
Four government-backed tables turn territory planning from gut feel into arithmetic. AHLA's Hospitality Economic Impact & State Facts Dashboard ships four CSVs totalling roughly 65 KB — 52 state rows plus 436 district rows across snapshot, total impact and operations tables — sized to drop straight into a spreadsheet. Eurostat – Nights Spent at Tourist Accommodation ranks regions by tourist nights across 561 geo codes from 1990 to 2025, and World Bank – International Tourism Arrivals extends that ranking to roughly 265 economies under commercial delivery terms-4.0. US NTTO I-94 arrivals answers the question the others can't — which source markets send the visitors — with monthly Excel workbooks built from ADIS records covering over 355 million travelers.
How do you combine these sources into one prospecting workflow?
Run it as three passes. First, build the universe: pull OpenStreetMap hotel POIs per city through Overpass Turbo and deduplicate on the website tag — that's your property-level list with phones attached. Second, score the universe: join city counts against Eurostat tour_occ_arn2 nights spent for European markets and World Bank receipts for yield per visitor internationally, then weight US states using AHLA's district rows so rep assignments follow rooms and jobs. Third, time the outreach: watch CruiseMapper fleet pages for expansion signals and Cruise Industry News orderbook rows for confirmed newbuilds, since operators taking delivery of ships buy systems in the same window.
Straight answers
Which datasets give me an actual hotel lead list I can import into a CRM?
OpenStreetMap Hotels via Overpass Turbo is the fastest route: 452,341 tourism=hotel objects worldwide (taginfo 2026-08-21), each with name, stars, rooms, address, phone and website tags, exportable as JSON, GeoJSON or CSV under commercial delivery terms.
How do I size a hotel sales territory before assigning reps?
AHLA's Hospitality Economic Impact & State Facts Dashboard publishes 52 state rows and 436 congressional-district rows covering rooms, properties and jobs (2024 reference year). Eurostat's tour_occ_arn2 adds 286,182 regional observations of nights spent across EU NUTS 2 regions, so European territories rank on demand instead of guesswork.
Rows before rollout
Sample rows from any shelf entry — the field dictionary and coverage notes ride along. If the shelf misses what you need, say so; sourcing requests are half our job.
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