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Hotel Pricing & Availability Dataset

This data product is available for any market or country globally

Dotlas provides a forward-looking hotel pricing dataset that captures room-level prices, availability, and booking conditions across a global network of hotel properties. The dataset offers daily and weekly snapshots of future rates for up to 365 days in advance, enabling precise pricing intelligence and demand forecasting at scale.

Collected from OTA platforms and structured into a standardized schema, this dataset aligns with Dotlas’ Unified Hotel Establishments data—making it easy to link prices back to hotel attributes, amenities, and locations.

Each record includes room type, stay date, quoted price, currency, booking constraints (e.g., minimum nights), and real-time availability, allowing flexible modeling across time, geography, and property tiers.


Potential Sectors for Use-Cases

  • Revenue Management & Dynamic Pricing
  • Market Rate Intelligence & Monitoring
  • Booking Horizon & Lead Time Analysis
  • Hotel Rate Calendars & Seasonality Forecasting
  • Competitor Rate Benchmarking
  • AI/ML Models for Demand Prediction
  • Site Feasibility & Rate Catchment Mapping
  • Integration with Travel Portals, Meta Search, or GIS Tools

This dataset is ideal for teams building travel tech products, hotel benchmarking platforms, real estate investment tools, or dynamic pricing engines—where temporal pricing signals are critical.

Data Dictionary

Column Name Data Type Description
country string The country where the hotel is located. Matches with the corresponding field in hotel metadata.
check_in_date date The calendar date for which this pricing entry is valid (i.e., the check-in date).
currency string The ISO 4217 currency code in which the price is quoted (e.g., JPY, USD).
avg_price float The average price per night (in the listed currency) for the specified date and room combination.
min_length_of_stay integer Minimum number of nights required for booking at the given price.
is_available boolean Indicates whether the room is available for booking on the specified check-in date.
is_vat_included boolean Indicates whether the listed price includes VAT and applicable taxes.