Hospitality Data
Hospitality data,
structured
to be used.
Live rates, historical pricing, reviews, and supply — across properties, destinations, and time. Access clean, structured hospitality data designed for analysts, revenue systems, and modern AI-driven workflows.
{
"dataset": "room_rates_live",
"entity": "property_room_rate",
"dimensions": ["property", "room_type",
"rate_plan", "occupancy"],
"delivery": ["api", "shop_manager", "vizly"],
"usage": ["rms", "analytics", "agents"]
}
"dataset": "room_rates_live",
"entity": "property_room_rate",
"dimensions": ["property", "room_type",
"rate_plan", "occupancy"],
"delivery": ["api", "shop_manager", "vizly"],
"usage": ["rms", "analytics", "agents"]
}
Data Layer
Not raw data. Usable data.
Every dataset is normalised, structured, and delivered on-demand — so it can be used directly by data teams, revenue systems, and AI-driven workflows.
- Clean, consistent schemas Properties, room types, and rate plans mapped across sources.
- High-frequency updates On-demand and scheduled collection for live operational use cases.
- Temporal depth Real-time snapshots plus 400+ days of historical pricing coverage.
- Built for systems Ready for RMS, analytics pipelines, internal tools, and agents.
Who It's For
Three cohorts. One hospitality data layer.
A single, structured data foundation powering hotel AI agents, revenue systems, and internal data teams.
Agent Builders
Structured, real-time hotel data for AI agents and applications. Power booking flows, copilots, and automation with reliable, machine-ready outputs.
Read more →RMS, PMS & Internal Systems
High-frequency, standardized data feeds that plug directly into revenue systems, PMS platforms, and internal tooling—no transformation layer required.
Read more →Internal Data Teams
Clean, normalized datasets across properties, markets, and time. Built for analytics, forecasting, and model development at scale.
Read more →Hospitality Data
Core datasets powering hospitality decisions.
Access each dataset independently, or combine them into a unified hospitality intelligence layer.
Datasets
Real-Time API
Live pricing at property level.
Per-property, per check-in/out pricing across room types and rate plans, sourced from OTAs and direct channels.
{ "property_id": "HOTEL_123", "check_in": "2026-06-12", "check_out": "2026-06-13", "room_type": "Deluxe King", "rate_plan": "Flexible", "price": 182.40, "currency": "USD", "occupancy": 2, "cancellation": "Free until 24h", "source": "OTA" }
| Field | Description |
|---|---|
| property_id | Unique hotel identifier |
| room_type | Normalised room category |
| rate_plan | Pricing plan type |
| price | Total offered price |
| occupancy | Guest count |
| source | OTA or direct channel |
- Revenue management workflows
- Pricing systems and internal tools
- Booking and search experiences
- Competitive monitoring at property level
Market Tracking API
LAR/BAR across the whole market.
Move beyond static 5–10 hotel compsets with destination-level Lowest Available Rate (LAR) and Best Available Rate (BAR) data. Get a clean, standardised apples-to-apples view of market pricing to benchmark strategy, monitor parity, and spot broader market shifts.
{ "destination_id": "LON_CENTER", "check_in": "2026-06-12", "check_out": "2026-06-13", "market_segment": "Upscale", "lar": 149.00, "bar": 186.00, "currency": "GBP", "property_count": 186, "rate_type": "Refundable", "captured_at": "2026-05-02T08:30:00Z" }
| Field | Description |
|---|---|
| destination_id | Market or destination searched |
| lar | Lowest available rate observed across the market |
| bar | Best available rate standardised across comparable offers |
| property_count | Total hotels included in the market view |
| market_segment | Category or segment used for apples-to-apples benchmarking |
| captured_at | Timestamp for the market snapshot |
- Benchmarking beyond static compsets
- RMS inputs and pricing manager workflows
- Market parity monitoring and shift detection
- Destination-level competitive intelligence
Time Series
400+ days of pricing history.
Pre-indexed lowest available prices across time, enabling seasonality analysis, forecasting, and model-ready training datasets.
Historical trendLead-time curve
Low seasonPeak season
| Field | Description |
|---|---|
| capture_date | Date of observed price |
| stay_date | Date of intended stay |
| lead_time | Days between capture and stay |
| lowest_rate | Lowest available observed rate |
| room_type | Room-level context for pricing |
| availability | Availability or sell-out signal |
- Seasonality and demand analysis
- Forecasting and model training
- Strategy validation and backtesting
- Long-range pricing memory
Enrichment
Structured guest sentiment.
Normalised reviews, ratings, and feature-level sentiment across sources to support quality benchmarking and ranking models.
CleanlinessStrong sentiment
LocationConsistently positive
ServiceMixed by source
ValuePressure vs comp set
| Field | Description |
|---|---|
| review_score | Normalised overall rating |
| review_count | Total review volume |
| sentiment | Positive, neutral, or negative signal |
| feature_tags | Cleanliness, service, location, value, and more |
| recency | Review freshness and time context |
| source | Review platform attribution |
- Quality benchmarking across markets
- Ranking and recommendation models
- Customer insight and perception tracking
- Property-level enrichment beyond price
Supply Data
Future supply intelligence.
Track upcoming hotels, renovations, and market expansions with structured data on project timelines, room counts, and brand presence.
Rooms
240
New supply
Opening
Q3 '26
Expected launch
Status
Build
In development
Brand
4★
Upper upscale
| Field | Description |
|---|---|
| property_name | Upcoming or renovated hotel |
| brand_operator | Brand and management context |
| rooms | Expected room count |
| status | Planned, in development, renovation, or opening |
| opening_date | Expected opening timeline |
| location | Market and address context |
- Supply growth and market planning
- Long-term pricing and capacity strategy
- Competitive market monitoring
- Investment and development analysis
Access Layer
One data layer, three access points.
API for delivery, Shop Manager for control, and Vizly for exploration.
API
Direct, programmatic access for systems, pipelines, internal tools, and production workflows.
GET /rates ?city=london &check_in=2026-06-12 &check_out=2026-06-13
View API optionsShop Manager
Operational interface for exploring datasets, configuring queries, and managing delivery without engineering overhead.
ExploreBrowse datasets
ConfigureSet queries
ExportDownload data
Vizly
Query and visualise data instantly using natural language, with hospitality-specific logic layered on top.
"Show pricing trends for 5-star hotels in Paris across summer, and compare against last year."
Learn MoreSame data. Three ways to use it — from analysts to revenue systems to agent-driven workflows.
Start with
the data layer.
Access the datasets you need, integrate them into your systems, or explore them instantly across API, Shop Manager, and Vizly.