Platform Solution

Booking.com Rate Data for US Hotels and Travel Firms

Booking.com is one of the largest travel platforms, with room rates that change by date, demand and competition. We deliver structured Booking.com rate data so hotels and travel firms can benchmark pricing and protect rate parity with real numbers.

Pilot dataset in 3-7 days Room rate data CSV / JSON / API / dashboard
The Booking.com data challenge

Hotel rates move with every date and competitor

On Booking.com, room rates change constantly with demand, season, length of stay and the competition nearby. A hotel cannot easily see how its rates compare across a forward booking window; a travel firm cannot benchmark a market. Checking rates by hand misses the shifts that decide bookings.

Rates change daily Date-dependent pricing Rate parity gaps Competitor moves unseen
Business outcomes

Booking.com data that's ready to act on

This is decision-ready Booking.com rate intelligence - built so your revenue and pricing teams can move with the market.

Daily

Booking.com rate and availability signals refreshed daily.

By date

Rates captured across a forward booking window.

3-7 days

From your property list to a validated Booking.com data pilot.

What you track

Every signal that matters on Booking.com

We deliver structured fields engineered for hotels, revenue managers and travel firms tracking Booking.com.

01

Room rate

Nightly rate for each room type and date.

02

Room type

Room category and bedding as listed.

03

Availability

Whether a room is bookable for a date.

04

Length of stay

Rates across different stay lengths.

05

Property details

Star class, amenities and location data.

06

Ratings & reviews

Guest score and review count per property.

07

Cancellation terms

Refundable or non-refundable rate options.

08

Rate history

A timeline of rate and availability changes.

Use cases

What US teams do with Booking.com data

One Booking.com data feed supports revenue management, rate parity and competitive strategy.

Competitive rate shopping

Compare your rates to rival hotels by date.

Rate parity checks

Spot parity gaps across booking channels.

Revenue management

Feed forward rates into pricing decisions.

Market analysis

Study rate levels across a destination.

Demand signals

Read availability as a signal of demand.

Event pricing

See how rates move around major events.

Sample output

This is what your team receives

Clean, validated rows of Booking.com rate data. Fields are customized to your needs - example schema below.

booking_com_rate_data_sample.csv ● LIVE SCHEMA
Property Room Type Check-in Rate (USD) Refundable Score Captured (UTC)
Hotel A Standard King 2026-06-15 $189.00 Yes 8.6 2026-05-22 06:00
Hotel A Standard King 2026-06-22 $219.00 No 8.6 2026-05-22 06:00
Hotel B Deluxe Queen 2026-06-15 $165.00 Yes 8.1 2026-05-22 06:00
Quality: validation + dedupe Scope: forward booking window Detail: room type + terms Updates: daily refresh
CSV - spreadsheets & BI JSON - app integration API - on-demand pulls Dashboard - rate trends
How it works

From property list to live Booking.com data

A simple five-step path - and you talk directly to the engineers building your pipeline.

01

Send your scope

Share the properties, markets and dates to track.

02

We configure capture

We set up Booking.com data capture for your scope.

03

Daily refresh

Rates and availability captured every day.

04

You receive data

Clean Booking.com data via CSV, JSON, API or dashboard.

05

Alerts trigger

Notifications fire on rate and parity changes.

Why WebDataScraping.us

A US-focused Booking.com data partner

We focus on Booking.com for US travel markets and US response hours - so your team gets fast pilots and rate data structured for real revenue decisions.

Fast pilots

Fast pilots

A validated Booking.com dataset within 3-7 days.

Date-aware

Date-aware

Rates captured across a forward booking window.

Decision-ready

Decision-ready

Output structured for revenue and BI systems.

Alert-driven

Alert-driven

Your team is told when rates or parity change.

FAQ

About Booking.com rate data

We provide room rates, room types, availability, length-of-stay pricing, property details, ratings and review counts from Booking.com, captured by date and structured into a consistent schema.

Yes. Hotel rates depend on check-in date and length of stay, so we capture rates across a forward booking window rather than a single value.

Booking.com rate data is commonly refreshed daily, and more frequently for fast-moving rate use cases. We confirm a realistic cadence before the pilot.

We collect only publicly available data and act as a technology and pipeline provider. Clients are responsible for ensuring their use of the data complies with applicable terms and laws, and we recommend appropriate legal review.

We deliver CSV, JSON and Parquet files, REST API endpoints, SFTP and cloud destinations, plus an optional dashboard for rate and availability monitoring.

Get started

Benchmark Booking.com with real rate data

Send us your properties or markets and we'll return a sample Booking.com dataset within 1 business day.

Request sample data → Call +1 424 377 7584