TRAVEL DATASETS

Fares and rates,
ready to license.

// THE SHORT ANSWER

Travel datasets are ready-to-license fare and rate data — flight prices by route and date, hotel rates by property and room type, and availability — collected across OTAs and metasearch. iWeb Data Scraping delivers them structured and normalized, so you can analyze travel pricing and parity without building collection for one of the web's most volatile data categories.

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Key facts

  • Data point: Flight fares by route
  • Data point: Hotel rates by property
  • Data point: Room types
  • Data point: Availability

Travel pricing is volatile and fragmented — fares and rates change constantly across dozens of OTAs. Collecting it reliably is hard; our travel datasets give you the result ready-made, normalized by route, date band and room type for direct analysis.

License a snapshot or subscribe for refreshed data. For continuous, custom rate-parity and competitor monitoring, see travel data scraping.

THE POINT

One vertical, every platform that matters in it — matched into a single feed your team actually uses.

DATA POINTS WE EXTRACT

What's in the dataset.

Flight fares by route
Hotel rates by property
Room types
Availability
Provider / OTA
Fare class
Dates
Taxes & fees
Length-of-stay pricing
Cancellation terms
City / airport
Timestamp
SEE THE DATA FIRST

What you'll actually receive.

Real sample structure from this feed. Your free 48-hour sample comes in your category, in this shape — CSV, JSON or straight to your warehouse.

Travel dataset — fares & hotel rates by route/date.
type provider route_or_hotel date price captured_at
flight AirOne DEL-BLR 2026-08-10 3499 2026-07-08
flight SkyJet DEL-BLR 2026-08-10 3799 2026-07-08
hotel CityStay Bengaluru MG Road 2026-08-10 4200 2026-07-08
hotel GrandInn Bengaluru MG Road 2026-08-10 5100 2026-07-08
↑ Sample structure — illustrative values. Your data reflects your platforms and category. Get this for your data →
WHO USES THIS

Built for the person
who owns the number.

TRAVEL-TECH

Power your product

Structured fare and rate data behind comparison or booking features.

REVENUE / OTA

Study pricing & parity

Competitor fares and hotel rates across providers, normalized.

RESEARCHER

Analyze travel pricing

Route- and property-level pricing data across a market.

RELATED:Travel Data Scraping →Real-Time Scraping →Managed Scraping →
FAQ

Before the first call.

Flight fares by route and date, hotel rates by property and room type, availability, provider/OTA, fare class, dates, taxes and fees, length-of-stay pricing, cancellation terms, city/airport and timestamps — normalized for comparison across OTAs and metasearch.

Travel prices move constantly, so datasets are timestamped per capture, and subscriptions can deliver high-frequency refreshes. For minute-level parity monitoring, our travel data scraping service with real-time extraction is the fit.

Major OTAs (MakeMyTrip, Booking.com, Expedia, Agoda), metasearch (Google Flights, Skyscanner, Kayak), and airline/hotel direct sites, scoped to your routes and markets.

Both — a point-in-time snapshot or refreshed deliveries. Given travel's volatility, most analytical uses subscribe for regular refreshes.

Get a free sample dataset in 48 hours.