Ratings and reviews dataset from airbnb
The Airbnb Reviews dataset provides structured, multilingual guest feedback from Airbnb listings worldwide. Each entry includes the full review text, star rating, reviewer profile, location, timestamp, and language. Ideal for sentiment analysis, reputation monitoring, travel market research, and AI/ML training, this dataset allows country-level filtering for the US, EU, and Australia. Continuously updated and scalable to millions of reviews, the data is exportable in CSV, JSON, or JSONL formats. It is ready for analytics pipelines, NLP applications, recommendation engines, and travel trend analysis.
Key Features:
-
Full review text with star ratings and verified stay flags.
-
Metadata including reviewer name, profile, property type, location, timestamp, and language.
-
Multilingual coverage for global analysis.
-
Country-specific filtering for US, EU, and AU markets.
-
Continuous updates to include new reviews and listings.
-
Export formats: CSV, JSON, JSONL.
-
Scalable for millions of reviews.
Use Cases:
-
Train AI models for sentiment analysis and review classification.
-
Monitor property and host reputation across regions.
-
Build semantic search engines for Airbnb reviews.
-
Conduct global or regional travel market research.
-
Feed review summarizers and QA models with structured review data.
Last crawled:
Sept 2025
Data points:
hotel_id, hotel_url, total_reviews, id, reviewed_at, language, rating, comments, reviewer_name, reviewer_id, reviewer_profile, reviewee_name, reviewee_id, reviewee_profile, location
Data points count:
15
Total Downloads
12 +
Total Views
18
Sample dataset:
Availability or Type:
Immediately
Delivery time:
immediately