🏨 Booking Reviews Scraper

Extract guest reviews from any Booking.com hotel in seconds. Collect review text, scores, reviewer details, stay information, room types, and review photos in structured, analysis-ready format.

Whether you need to monitor hotel reputation, analyze competitor reviews, or build datasets for sentiment analysis, this tool handles the heavy lifting. Get structured review data from Booking.com without any technical skills.

Target Audience: Hotel managers, travel agencies, market researchers, hospitality consultants, and data teams. Primary Use Cases: Reputation monitoring, competitive benchmarking, sentiment analysis, guest experience research, and hospitality market analysis.

📋 What Does Booking.com Reviews Scraper Do?

This tool collects detailed guest reviews from Booking.com hotel pages. It delivers:

• Review text (positive and negative comments separated)
• Review score and title
• Reviewer name, country, and traveler type
• Room type and stay duration
• Stay date and review date
• Review photos
• Hotel rating, rating label, and category scores
• Helpful votes and reviewer review count
• Support for multiple hotels in a single run

Business Value: Automate your hotel review monitoring workflow. Instead of manually reading through hundreds of reviews, collect and analyze them in bulk with structured, spreadsheet-ready data.

🔧 Input

To start collecting reviews, add one or more Booking.com hotel URLs. The tool automatically converts hotel URLs to review pages.

Configure your run:

• Max Items - Set how many reviews to collect (up to 1,000,000 for paid users)
• Sort Reviews By - Relevance (default, shows newest first), score high to low, or score low to high
• Cutoff Date - Stop collecting when reviews older than this date are found
• Review Scores Filter - Only collect Superb, Good, Average, or Poor reviews
• Minimum Score - Filter by minimum review score (0-10)
• Only With Photos - Collect only reviews that include photos
• Reviewer Country - Filter reviews by reviewer country
• Language - Set the review page language

Here's an example input configuration:

{
    "startUrls": [
        { "url": "https://www.booking.com/hotel/us/the-plaza.html" }
    ],
    "maxItems": 10,
    "sortReviewsBy": "f_score_desc"
}

Multiple hotels example:

{
    "startUrls": [
        { "url": "https://www.booking.com/hotel/us/the-plaza.html" },
        { "url": "https://www.booking.com/hotel/gb/the-ritz-london.html" }
    ],
    "maxItems": 50
}

📊 Output

After the run finishes, you'll get a structured dataset with all collected reviews. You can download the results as Excel, CSV, JSON, XML, or HTML.

Here's an example of what the output looks like:

{
    "imageUrl": "https://cf.bstatic.com/xdata/images/xphoto/max500_ao/642520965.jpg",
    "reviewId": "5259485189",
    "hotelName": "The Plaza",
    "reviewerName": "John",
    "reviewerCountry": "United States",
    "reviewerCountryCode": "us",
    "reviewerType": "Family",
    "roomType": "Deluxe King Room",
    "stayDate": "Stayed in February 2026",
    "numberOfNights": 2,
    "reviewTitle": "Great stay",
    "positiveText": "Excellent location and very friendly staff.",
    "negativeText": "Room service was slow.",
    "score": 8.0,
    "helpfulVotes": 3,
    "userReviewCount": 12,
    "submittedVia": "mobile",
    "reviewDateIso": "2026-03-01T00:00:00.000Z",
    "hotelRating": 8.5,
    "hotelRatingLabel": "Very Good",
    "hotelReviews": 4521,
    "hotelRatingScores": [
        { "codeName": "hotel_clean", "name": "Cleanliness", "score": 9.0 },
        { "codeName": "hotel_location", "name": "Location", "score": 9.7 }
    ],
    "photos": ["https://cf.bstatic.com/xdata/images/xphoto/max500_ao/642520965.jpg"],
    "hotelReviewUrl": "https://www.booking.com/reviews/us/hotel/the-plaza.en-gb.html?page=1",
    "scrapedAt": "2026-03-03T08:00:00.000Z"
}

What You Get:

• imageUrl - First review photo URL
• reviewId - Unique review identifier
• hotelName - Name of the hotel
• reviewerName - Guest name
• reviewerCountry - Where the reviewer is from
• reviewerCountryCode - Two-letter country code
• reviewerType - Traveler type (Family, Couple, Solo, etc.)
• roomType - Type of room booked
• stayDate - When the guest stayed
• numberOfNights - Duration of the stay
• reviewTitle - Review headline
• positiveText - What the guest liked
• negativeText - What the guest disliked
• score - Review score (0-10)
• helpfulVotes - How many people found the review helpful
• userReviewCount - Total reviews by this reviewer
• submittedVia - How the review was submitted (mobile, web)
• reviewDateIso - When the review was written (ISO format)
• hotelRating - Overall hotel rating
• hotelRatingLabel - Rating category (Superb, Very Good, etc.)
• hotelReviews - Total number of hotel reviews
• hotelRatingScores - Category scores (cleanliness, location, staff, etc.)
• photos - All review photos
• hotelReviewUrl - Link to the reviews page
• scrapedAt - When the data was collected

⚡ Why Choose Booking.com Reviews Scraper?

• Fast and Lightweight - Collects reviews without using a browser, so it runs faster and costs less than browser-based alternatives
• Rich Review Data - Get positive and negative text separated, scores, reviewer details, stay info, photos, and hotel ratings
• Flexible Filtering - Filter by score range, date cutoff, reviewer country, photo availability, and sorting options
• Multi-Hotel Support - Collect reviews from multiple hotels in a single run
• Automatic Pagination - Handles review page navigation automatically
• Multiple Languages - Collect reviews in any language supported by Booking.com

🚀 How to Use

1. Sign Up - Create a free account w/ $5 credit (takes 2 minutes)
2. Find the Tool - Visit the Booking.com Reviews Scraper page on Apify
3. Add Hotel URL - Paste a Booking.com hotel or reviews URL
4. Configure Filters - Set max items, sorting, score filters, and other options
5. Run It - Click "Start" and let it collect your data
6. Download Data - Get your results in the "Dataset" tab as CSV, Excel, or JSON

No technical skills required. Everything is point-and-click.

💼 Business Use Cases

Hotel Managers

• Monitor guest feedback and identify recurring complaints
• Track review scores over time to measure improvement
• Compare your reviews against competitor hotels

Travel Agencies

• Evaluate hotel quality before recommending to clients
• Build databases of top-rated hotels by destination
• Monitor partner hotel satisfaction scores

Market Researchers

• Analyze hospitality trends across regions and hotel categories
• Build sentiment analysis datasets from thousands of reviews
• Compare guest experience across hotel chains

Hospitality Consultants

• Audit hotel performance using real guest feedback
• Identify operational issues from negative review patterns
• Benchmark category scores (cleanliness, location, staff, etc.)

Review Aggregators

• Collect reviews from multiple hotels for comparison platforms
• Build datasets for travel recommendation engines
• Monitor review volume and sentiment trends

🔌 Using Booking.com Reviews Scraper with the Apify API

For advanced users who want to automate data collection, you can control the tool programmatically with the Apify API. This allows you to schedule regular review monitoring and integrate with your existing tools.

• Node.js - Install the apify-client NPM package
• Python - Use the apify-client PyPI package
• See the Apify API reference for full details

❓ Frequently Asked Questions

Q: How many reviews can I collect? A: Free users can collect up to 100 reviews per run. Paid users can collect up to 1,000,000 reviews.

Q: Can I use a regular hotel URL instead of a reviews URL? A: Yes. The tool automatically converts hotel URLs to the matching reviews page.

Q: Can I collect reviews from multiple hotels at once? A: Yes. Use the "Hotel URLs" field to add as many hotel URLs as you need.

Q: What does the Score Filter do? A: It lets you collect only reviews within specific score ranges - Superb (9-10), Good (7-8.9), Average (5-6.9), or Poor (0-4.9).

Q: What is the Cutoff Date? A: The tool stops collecting when it finds reviews older than the cutoff date. Works best with the default Relevance sorting, which shows newest reviews first. Useful for incremental collection.

Q: What languages are supported? A: Any language available on Booking.com. Set the language code in the input (e.g., en-gb, es, fr, de, ja).

Q: Can I schedule regular runs? A: Yes. Apify allows you to schedule automatic runs at any interval - hourly, daily, weekly, or custom schedules. This is useful for ongoing reputation monitoring.

Q: What if a review is missing some fields? A: The tool returns the review with all available fields. Missing fields are returned as null.

🔗 Integrate Booking.com Reviews Scraper with Any App

Booking.com Reviews Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform.

These include:

• Make
• Zapier
• Slack
• Airbyte
• GitHub
• Google Drive
• and much more.

Alternatively, you can use webhooks to carry out an action whenever an event occurs, e.g. get a notification whenever Booking.com Reviews Scraper successfully finishes a run.

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Pro Tip: Browse our complete collection of data collection actors to find the perfect tool for your business needs.

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🆘 Need Help?

If you need support with this actor or want a custom data workflow, contact us using the form below.

📞 Contact

Contact us to request a new scraper, propose a custom data project, or report a technical issue with this actor at https://tally.so/r/BzdKgA

⚠️ 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.