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
Flight fields
Common use cases
- Rate parity monitoring across OTAs and supplier sites
- Travel agency competitive pricing
- Hotel revenue management: comp set rate tracking
- Tourism research: regional ADR and occupancy proxies
- Travel media: deal sourcing and price-drop alerts
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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