Travel & hospitality

Travel & hotel data scraping at scale.

Public hotel rates, availability, reviews, and flight search results across major OTAs. Rate parity and competitive pricing pipelines delivered on a schedule, in CSV or JSON.

Sources covered

Booking.comExpediaHotels.comTrivagoAgodaHotwireKayakSkyscannerGoogle Hotels

Hotel fields

Hotel name, brand, star rating
Address, lat / lng, neighborhood
Nightly rate by date & room type
Cancellation & meal policies
Availability window
Review count, rating, recent excerpts
Amenities & accessibility flags

Flight fields

Origin / destination & date
Carrier, flight number, aircraft
Cabin class, fare class
Price & fare rules
Stops, layover duration
Baggage allowance

Common use cases

FAQ

Can you scrape hotel prices from Booking.com / Expedia?

Yes. We pull displayed rates per check-in / check-out window per room type. OTAs apply geo-personalization and member-pricing variations — we run from a defined geo configuration so your dataset is consistent rather than mixing user-specific prices.

Do you do flight data?

Yes — search results and fare details from Kayak, Skyscanner, Google Flights, and direct airline sites. Note that flight pricing is highly volatile and IP-personalized; we recommend explicit query lists rather than open-ended exploration.

How frequent can the refresh be?

Hotel rate snapshots are commonly hourly to daily depending on use case. Flight searches are usually triggered on-demand from a defined origin / destination / date matrix because the search space is too large for full crawl.

What about loyalty rates and member pricing?

Out of scope by default — those require account login and live behind personalized contracts. We work with publicly displayed retail and best-available rates only.

Output format?

CSV, Excel, JSON, or direct database load. Free sample first, then recurring delivery via email, S3, webhook, or SFTP.

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