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Hotel Scraper

Booking.com, Hotels.com & OTA Scraper

Extract hotel rates, availability, reviews, amenities and photos from Booking.com, Hotels.com, Expedia, Agoda and 15+ OTAs. Clean structured data for rate shopping, parity monitoring and competitive intelligence.

Start freeExplore managed service
  • booking.com
  • hotels.com
  • expedia.com
  • agoda.com
  • trivago.com
  • kayak.com
  • hotel websites (direct)

Data Fields Extracted

Normalized hotel schema across all supported OTAs.

Identifiers

  • Hotel name & ID

Pricing & Offers

  • Rate per night
  • Total price

Availability & Stock

  • Availability
  • Room type

Dates & Metadata

  • Cancellation policy

Reviews & Ratings

  • Star rating & guest score
  • Review count
  • Review content

Specs & Attributes

  • Amenities

Location & Shipping

  • Location & coordinates

Content & Media

  • Photos

What Teams Build With It

01

Hotel Rate Shopping

Hotels and chains monitor their own rates across every OTA and their direct website to catch rate-parity violations and OTA undercutting.

02

Revenue Management

Dynamic pricing engines ingest competitor rates by room type, date and channel to optimize ADR and RevPAR.

03

OTA Parity Enforcement

Brand and chain management teams verify that OTAs respect negotiated rate-parity clauses and flag violations automatically.

04

Competitive Set Benchmarking

Build custom comp sets (direct competitors in the same destination and segment) and track their pricing, availability and review velocity.

05

Travel Tech Products

Metasearch engines, corporate travel platforms and travel-comparison sites use our data to power their own rate comparisons.

The Hard Parts — Handled

OTAs have some of the most aggressive anti-bot stacks on the web. ScrapeWise handles them.

Anti-bot & CAPTCHA

  • Anti-bot evasion for Booking.com, Expedia and Agoda's protection

Handled for you

  • Date-range and check-in/check-out parameter handling per OTA
  • Session consistency so search parameters persist through checkout flow

Rendering & parsing

  • Room-type and rate-plan normalization across OTAs
  • Amenity and room attribute normalization across OTAs

Proxies & geography

  • Currency and tax-inclusion normalization
  • Geo-targeted residential proxies — same hotel can show different rates by IP country

Scheduling & freshness

  • High-frequency runs — rates shift hourly, especially on shoulder and last-minute dates
FAQ

Hotel Scraper — Questions

Common questions about hotel and OTA data extraction.

Yes. Every hotel returns a normalized identity (name + address + coordinates) that lets you join rates for the same property across Booking, Hotels.com, Expedia, Agoda and direct-website channels.

Ready to pull Booking.com, data into your stack?

Start free — or talk to our team about your specific fields, refresh cadence and volume.

Start freeExplore managed service

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