Hotel and flight pricing intelligence for US revenue management, OTA strategy, and travel analytics teams — delivered as clean structured feeds.
Revenue management, distribution strategy, and travel analytics teams need data that reflects what the consumer actually sees — across OTAs, airline sites, and hotel direct channels. We pull rate-shopper-grade data from US travel sources and structure it for analysis.
Room rates by check-in date, length of stay, occupancy, and room type. Taxes broken out where surfaced.
Origin/destination, cabin, fare class, ancillaries, advance purchase windows for US domestic and international routes.
Room/seat availability indicators, sold-out flags, and last-room signals where present.
Event-based pricing volatility tracking (concerts, sports, conventions) for major US destinations.
Pull the same property from Booking, Expedia, Hotels.com, and hotel direct — see rate parity in one row.
Build a travel price index for forecasting, benchmarking, and revenue strategy.
| Source | Hotel/Route | Check-in / Date | Room/Class | Price (USD) | Taxes | Availability | Captured (UTC) |
|---|---|---|---|---|---|---|---|
| Booking | Downtown Hotel Chicago | 2026-06-15 | King | $142.00 | $22.40 | Available | 2026-05-19 10:30 |
| Expedia | Downtown Hotel Chicago | 2026-06-15 | King | $148.00 | — | Available | 2026-05-19 10:30 |
| UA Direct | LAX → JFK | 2026-07-04 | Economy | $189.00 | — | Seats avail. | 2026-05-19 10:30 |
Sources we typically cover: Booking.com · Expedia · Hotels.com · Marriott · Hilton · IHG · Hyatt · United · American · Delta · Southwest · Kayak
Track competitive set rates on Booking, Expedia, hotel direct — daily or shop-rate cadence.
Build rate-shopper or fare predictor products on top of normalized travel datasets.
Track airline fare trends and hotel ADR signals for transportation and hospitality sectors.
Audit rate parity across OTAs to enforce distribution agreements.
30-min call to confirm sources, fields, frequency, and output schema.
Sample dataset delivered for your team to validate coverage and quality.
Scheduled jobs, monitoring, retries, reporting — backed by uptime SLA.
Yes — we accept your shop matrix (check-in dates, LOS, occupancy combos) and execute across configured sources.
We shop at the cadence you specify. For revenue teams this is typically 2–6 times daily during US business hours.
We extract from public OTA and airline/hotel websites. We do not access GDS directly.
We can start collecting from day one and deliver a rolling history. We do not provide pre-existing historical archives.