Hotel Guest Review Data
Buy and sell hotel guest review data data. Structured review data with sentiment, ratings, and topic categorization — the reputation data that moves bookings.
No listings currently in the marketplace for Hotel Guest Review Data.
Find Me This Data →Overview
What Is Hotel Guest Review Data?
Hotel guest review data comprises structured datasets of customer reviews, ratings, and sentiment analysis from hotel booking and review platforms. These datasets typically include review text, numerical ratings (usually 1-5 scale), reviewer demographics, timestamps, and geographical information about properties. The data is collected from multiple sources including Hotels.com, TripAdvisor, and other review platforms, aggregating millions of reviews across thousands of properties. This data type serves as reputation intelligence for the hospitality industry, enabling stakeholders to understand customer satisfaction patterns, identify service improvement opportunities, and track competitive positioning. The global Guest Review Index reached 86.7% in 2025, with review volume growing by 2.1% year-over-year, demonstrating the scale and importance of this data category in hotel operations and decision-making.
Market Data
86.7%
Global Guest Review Index (2025)
Source: Hospitality Net
2.1%
Review Volume Growth (YoY)
Source: Hospitality Net
10,000 reviews across 25 data columns
Sample Dataset Size
Source: Kaggle
39M+ reviews across 11,200 properties and 61 platforms
Benchmark Report Coverage
Source: Hotel Tech Report
17.5M+ records
Available Records on Major Providers
Source: Bright Data
Who Uses This Data
What AI models do with it.do with it.
Sentiment Analysis & Guest Satisfaction Tracking
Hotels and hospitality companies analyze review sentiment to measure customer satisfaction levels, identify complaint patterns, and monitor reputation trends over time.
Competitive Positioning & Market Research
Investment firms, hedge funds, and market analysts use review data to assess hotel performance, identify market opportunities, and inform real estate investment decisions.
Service Improvement & Operations Optimization
Hotel management teams leverage structured review data to identify key factors driving satisfaction, pinpoint operational weaknesses, and prioritize service enhancements.
Pricing Strategy & Revenue Management
Revenue management teams use guest sentiment and satisfaction metrics alongside booking data to optimize pricing strategies and forecast demand patterns.
What Can You Earn?
What it's worth.worth.
Per-Record Pricing
$0.0025 per record
Bright Data structure; minimum order $250
Platform Services
Varies
TrustYou offers CDP from $350/property/month and AI Agents from $99-115/property/month, billed annually
Bulk Dataset Purchase
Varies
Enterprise datasets with 17.5M+ records available through data brokers; contact sales for custom pricing
What Buyers Expect
What makes it valuable.valuable.
Structured Rating & Sentiment Data
Numerical ratings on standardized scales (typically 1-5), alongside sentiment classifications that categorize reviews as positive, negative, or neutral for automated analysis.
Complete Review Text & Metadata
Full review text content paired with reviewer usernames, dates, and timestamps to enable temporal analysis and reviewer behavior studies.
Geographical & Property Identification
Clear hotel identification with city, country, and regional data to enable location-specific analysis and competitive benchmarking.
Data Completeness & Currency
Minimal missing values in key columns; regular updates to reflect current guest sentiment and market conditions. Buyers expect data that reflects recent booking and review patterns.
Companies Active Here
Who's buying.buying.
Provides hospitality AI platform aggregating multi-source review data, offering CDP and AI agents for guest profile unification and reputation management at scale across thousands of properties.
Major commercial provider of hotel datasets including review data, guest preferences, and property information; serves 20,000+ customers with validated, ready-made hotel datasets.
Produces Guest Experience Benchmark Report analyzing 39M+ reviews across 11,200 properties and 61 platforms; provides industry insights on guest sentiment and reputation management.
Hedge funds, venture capital, and property investment companies use hotel booking and review datasets for market research, competitive positioning, and transaction data enrichment.
FAQ
Common questions.questions.
What does a typical hotel guest review dataset contain?
A typical dataset includes review text, numerical ratings (1-5 scale), reviewer usernames and submission dates, hotel geographical location (city/country), and structured metadata for analysis. Larger datasets from Bright Data, TrustYou, and Shiji contain millions of reviews aggregated across multiple review platforms like Hotels.com and TripAdvisor.
How current is the industry's review data?
The 2026 Guest Experience Benchmark analyzed data through 2024-2025, showing real-time momentum in the industry. The global Guest Review Index reached 86.7% in 2025 with year-over-year growth of 2.1% in review volume, indicating actively updated datasets reflecting current guest sentiment.
Who typically buys hotel review data and why?
Hotel operators use it for service improvement and operational optimization. Investment firms and hedge funds analyze it for market research and competitive positioning. Revenue management teams leverage sentiment alongside booking data to optimize pricing strategies. Hospitality tech platforms aggregate review data to provide multi-source reputation management and guest intelligence services.
What are the main challenges with hotel review data?
Common challenges include missing values in certain fields (user location data), skewed rating distributions that require balancing for accurate sentiment analysis, and the need to handle unstructured review text through natural language processing. Data quality varies across sources, requiring validation and cleaning before use.
Sell yourhotel guest reviewdata.
If your company generates hotel guest review data, AI companies are actively looking for it. We handle pricing, compliance, and buyer matching.
Request Valuation