🏨 Booking.com Reviews Scraper

Collect guest reviews from any Booking.com hotel page in seconds. Extract review scores, text, reviewer details, stay information, room types, and photos without coding. Perfect for hotel managers monitoring reputation, travel researchers analyzing guest feedback patterns, and businesses downloading Booking.com review data for competitive benchmarking across multiple properties.

The Booking.com Reviews Scraper collects guest reviews with up to 26 data fields per review, filter by score and country, and multi-language support.

✨ What Does It Do

• 🖼️ Reviewer Photo - Capture guest profile images to verify reviewer authenticity and build community profiles
• 📝 Review Text - Extract positive and negative comments separately for sentiment analysis and trend identification
• ⭐ Review Score - Collect individual review ratings to identify satisfaction patterns and score distribution
• 👤 Reviewer Profile - Gather reviewer name, country, traveler type, and total reviews for demographic analysis
• 🛏️ Stay Details - Extract room type, stay dates, and number of nights to segment feedback by accommodation category
• 📸 Review Photos - Collect photo URLs from guest reviews for visual content analysis and authenticity verification
• 📊 Hotel Metrics - Capture overall hotel rating, review count, and category breakdowns for competitive analysis
• 📅 Review Timeline - Get submission dates to track review trends and identify seasonal satisfaction patterns

📋 How to Use

No technical skills required. Follow these simple steps:

1. Sign Up: Create a free account with $5 credit
2. Find the Tool: Search for "Booking.com Reviews Scraper" in the Apify Store and configure your input
3. Run It: Click "Start" and watch your results appear

That's it. No coding, no setup, no complicated configuration. Now you can export your data in CSV, Excel, or JSON format.

📊 Data fields

Each record includes: helpfulVotes, hotelName, hotelRating, hotelRatingLabel, hotelRatingScores, hotelReviewUrl, hotelReviews, imageUrl, negativeText, numberOfNights, photos, positiveText, reviewDateIso, reviewId, reviewTitle, reviewerCountry, reviewerCountryCode, reviewerName, reviewerType, roomType, score, scrapedAt, stayDate, submittedVia, userReviewCount. All 25 field names come from a real production run, so what you see here is what lands in your dataset.

🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the Booking.com Reviews Scraper page on the Apify Store.
3. 🎯 Set input. Configure the input fields in the form (or paste a JSON), then set maxItems.
4. 🚀 Run it. Click Start and let the Actor collect your data.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

⚠️ Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Booking.com or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.

🔗 Recommended Actors

• 🔍 Google Search Scraper - Multi-engine SERP results with country and language targeting
• 🗺️ Nominatim OSM Scraper - Geocode addresses via OpenStreetMap
• 📊 Indexmundi Scraper - Global demographic and economic indicators
• 📰 RAG Web Browser - Crawl and extract clean text from any URL for AI retrieval
• 🌐 Website Content Crawler - Crawl entire sites and export structured content

💡 Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

For faster answers, join our Discord. It's the best place to get support and suggest new actors.