How to Scrape Tripadvisor in 2026: Reviews, Hotels, and Attractions

Tripadvisor has over 1 billion reviews across 8 million listings. Whether you're building a travel aggregator, running competitive analysis for a hotel chain, or doing sentiment research on tourism trends, that data is incredibly valuable. In this guide, I'll show you how to scrape Tripadvisor hotel listings, reviews, and attraction data using Python in 2026 — including how to handle their aggressive anti-bot protection. Why Scrape Tripadvisor? Competitive intelligence : Track competitor hotel ratings, review counts, and pricing across markets Sentiment analysis : Aggregate guest feedback to identify common complaints or praise Market research : Analyze attraction popularity and seasonal trends in specific destinations Price monitoring : Track nightly rates across hotels in a region What You'll Need pip install requests beautifulsoup4 lxml You'll also need a proxy solution — Tripadvisor uses Cloudflare and aggressive fingerprinting. I recommend ScraperAPI which handles rotation, CAPTCH