Extract Booking.com Data
Hotel pricing, availability, and review data from Booking.com.
Tell AuraCrawl what you need from Booking.com in plain language — "nightly rates for these 600 properties in Goa, 30/60/90 days out," "guest scores and review text for every 4-star hotel in Jaipur." Rate data changes by date window, occupancy, and session; we scope collection so the numbers you get are the numbers a guest would actually see.
What a response looks like
REQUEST
ask“Tell AuraCrawl what you need from Booking.com in plain language — which entities, which fields, how often. That sentence is the spec.”
{
"property_id": "bk-goa-11842",
"name": "The Sea Shell Resort & Spa",
"city": "Goa",
"star_rating": 4,
"guest_score": 8.6,
"review_count": 1932,
"check_in": "2026-09-20",
"nightly_rate_inr": 7450,
"includes_breakfast": true,
"free_cancellation": true,
"rooms_left_at_price": 3
}What you can extract
- Property names, star ratings, and location details
- Nightly rates in ₹ across future date windows
- Guest scores and full review text
- Availability signals, including rooms-left urgency flags
- Rate conditions: breakfast, cancellation, prepayment
- Rate-parity snapshots across booking windows
PIPELINE Booking.com runs one of the most mature commercial anti-bot deployments in travel — Aura Strike keeps the access stable so your rate history has no gaps.
Related targets
Request Booking.com data.
Describe the fields, the volume, and the cadence. We scope the extraction and deliver a sample before you commit.