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Data Marketplace · Property & travel

Booking.com Hotel Offers Dataset

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

  • Records Accommodation · Room or offer · Search context
  • Source Booking.com
  • Formats JSON · CSV · Parquet
Booking.com destination, date, and occupancy inputs become accommodation and room-offer records with property, price, currency, and availability context

Schema and fields

Build on Booking.com records with context attached.

property_idstring

Source property identity

property_namestring

Displayed accommodation name

destinationobject

Search and location context

stayobject

Check-in, check-out, and occupancy

pricedecimal

Displayed offer value

currencystring

Displayed currency

availabilitystring

Observed availability state

captured_attimestamp

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.

SnapshotStart from a dated baselineSelected scope and collection window
RefreshReceive recurring updatesCadence and change behavior
FormatUse JSON, CSV, or ParquetSchema, partitioning, and manifest
ValidationRun repeatable checksCounts, fields, missing states, and version

Booking.com applications

Put Booking.com records to work.

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.

  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.

What can I build with Booking.com data?
  • Rate and availability research

  • Accommodation market mapping

  • Offer change monitoring

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.

Start with real records

Request a Booking.com dataset sample.

Share the sources, fields, markets, and dates you need. Review a sample before choosing delivery.