Access structured Booking.com hotel reviews with full metadata—perfect for review scraping, sentiment analysis, and hospitality trend tracking. Our Booking reviews scraping dataset includes guest ratings, comments, languages, and dates, extracted using a robust hotel review crawler. Ideal for powering LLMs, training sentiment engines, or benchmarking hospitality experiences, this clean Booking.com review data feed is available in CSV, JSON, or XLSX. Easily filter by country, language, or hotel type for custom analysis and machine learning workflows.
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Includes reviewer name, rating, review text, travel type, tags, language, and hotel metadata—scraped using our Booking review crawler.
Customize your dataset to include reviews from specific countries or regions for localized insights and sentiment models.
Covers reviews written in multiple languages, allowing for NLP training and global sentiment analysis.
Continuously updated to reflect the latest Booking.com review structure and new hotel listings.
Delivered in clean CSV and JSON formats—ideal for analysis, modeling, or integration into review scraping pipelines.
Optimized for machine learning models, customer experience scoring, and hospitality trend benchmarking.
Scraped from hotels across thousands of global locations including Europe, Asia, Americas, and more.
Supports millions of reviews with scalable access via our Booking reviews scraping infrastructure.
Extended collection of datasets from booking.com available for direct purchase.
Large text for LLMs and ML trainings
Format: CSV
Est. Records: 18,000,000
Last Extracted: Sept 2025
Data Points: url, hotel_name, hotel_address, country, average_score, hotel_ranking, review_title, reviewer_name, rating, reviewer_country, negative_review_text, positive_review_text, helpful_count, reviewed_at, stayed_at, tags, source, source_domain, language, uniq_id, scraped_at
Price: $13000
Choose the tier that fits your needs - flexible pricing for all project sizes