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.

You can request the large dataset at: Airbnb Reviews
To get a custom data quote, visit: Get quote

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.