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Data Marketplace · Property & travel

Booking Hotel Offers Dataset

Compare Booking.com accommodation offers by destination, dates, occupancy, currency, property context, price, and availability.

Request Booking.com sampleView fields
  • Records Accommodation · Room or offer · Search context
  • Source Booking.com
  • Formats JSON · CSV · Parquet
Dataset preview · booking hotel offersReady
Observation 01

An illustrative view of how accommodation, room or offer,…

.

Field 01
An illustrative view of how accommodation, room or offer,…
{
  "property_id": "illustrative-hotel-7",
  "property_name": "Example Central Hotel",
  "destination": {
    "city": "Lisbon",
    "country": "PT"
  },
  "stay": {
    "check_in": "2026-09-14",
    "check_out": "2026-09-16",
    "guests": 2
  },
  "price": 248,
  "currency": "E…
An illustrative view of how accommodation, room or offer, search context and collection context arrive together.

Schema and fields

Build on Booking.com records with context attached.

Start with accommodation, room or offer, search context. Source identity, collection time, and field meaning stay connected so records can move into analysis without losing their context.

property_id string

Source property identity

property_name string

Displayed accommodation name

destination object

Search and location context

stay object

Check-in, check-out, and occupancy

price decimal

Displayed offer value

currency string

Displayed currency

availability string

Observed availability state

captured_at timestamp

Collection time

Freshness and delivery

Keep Booking.com data aligned with your analysis cycle.

Refresh the same destination, dates, occupancy, and market context when offer and availability comparisons must remain comparable.

Snapshot Start from a dated baseline Selected scope and collection window

Refresh Receive recurring updates Cadence and change behavior

Format Use JSON, CSV, or Parquet Schema, partitioning, and manifest

Validation Run repeatable checks Counts, fields, missing states, and version

Booking.com applications

Put Booking.com records to work.

Use source-linked, time-stamped records for rate and availability research, plus accommodation market mapping. Each application starts from the same documented fields and collection context.

01

Rate and availability research

Compare displayed offers for controlled dates, occupancy, currency, and destination context.

02

Accommodation market mapping

Build property and attribute views for selected destinations and property categories.

03

Offer change monitoring

Follow displayed price and availability changes for consistent destination, stay, and occupancy inputs.

From sample to production

Test Booking Hotel Offers records in your data stack.

Start with representative rows, run the joins and calculations that matter, and shape delivery around the system that will consume the data.

  1. 01

    Choose the useful scope

    Select the entities, markets, fields, dates, and business output the collection should support.

  2. 02

    Run a sample through your stack

    Check identifiers, fields, joins, missing states, and source context with your own queries or models.

  3. 03

    Set the delivery pattern

    Choose the snapshot or recurring schedule, file format, partitions, manifest, and destination.

Booking.com dataset FAQ

Plan the right Booking Hotel Offers collection.

What does the Booking Hotel Offers Dataset include?

Compare Booking.com accommodation offers by destination, dates, occupancy, currency, property context, price, and availability. Core records include accommodation, room or offer, search context, availability observation, rating summary.

What can I build with Booking.com data?

Common applications include rate and availability research, accommodation market mapping, offer change monitoring. Start with the fields and time window required by the business output.

How can the Booking.com dataset stay current?

Refresh the same destination, dates, occupancy, and market context when offer and availability comparisons must remain comparable.

When should I use the Booking.com API instead?

Use the on-demand API when your application chooses individual requests and timing. Choose this dataset for a prepared bulk snapshot or recurring file delivery.

Continue the data journey

Connect Booking.com data to the wider use case.

Compare the adjacent dataset, open the source API, or continue into the relevant data, industry, and solution pages.

Start with real records

Request a Booking.com dataset sample.

Tell us which accommodation and room or offer data you need, plus the markets, fields, dates, and destination. We will map the collection to that requirement.

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