Booking.com Hotel Reviews Scraper - Fast and Cheap avatar

Booking.com Hotel Reviews Scraper - Fast and Cheap

Pricing

from $0.90 / 1,000 results

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Booking.com Hotel Reviews Scraper - Fast and Cheap

Booking.com Hotel Reviews Scraper - Fast and Cheap

Scrape guest reviews from any Booking.com hotel. Scores, comments, guest details, stay info, hotel replies. 28 fields per review. No proxies, No cookies, No login.

Pricing

from $0.90 / 1,000 results

Rating

0.0

(0)

Developer

Scrape Smith

Scrape Smith

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

4 days ago

Last modified

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Booking.com Reviews Scraper

Extract guest reviews from any hotel on Booking.com. Just paste hotel URLs and get structured review data — positive and negative comments, ratings, guest details, stay information, and hotel responses.

What data do you get?

Each review includes 28 fields:

  • Review content — title, positive text, negative text, overall score, language
  • Guest details — name, country, traveler type (solo, couple, family, group)
  • Stay details — room type, check-in date, check-out date, number of nights
  • Hotel info — hotel name, hotel ID, overall hotel rating, rating breakdown by category (staff, facilities, cleanliness, comfort, value, location)
  • Engagement — helpful votes, review date, hotel/owner reply
  • Media — guest photos attached to reviews

How to use

  1. Go to any hotel page on Booking.com
  2. Copy the URL from your browser
  3. Paste it into the Hotel URLs input
  4. Set how many reviews you want per hotel
  5. Click Start

You can add multiple hotel URLs to scrape reviews from several hotels in one run.

Use cases

  • Hospitality market research — Compare guest sentiment across hotels in a city or chain
  • Competitive analysis — See what guests love and hate about competitor properties
  • Reputation monitoring — Track review trends for your own properties over time
  • Location scouting — Evaluate hotels by guest feedback before booking partnerships
  • Academic research — Analyze tourism satisfaction patterns at scale
  • Content generation — Source authentic guest quotes for marketing materials

Input example

{
"hotel_urls": [
"https://www.booking.com/hotel/gb/the-savoy.html",
"https://www.booking.com/hotel/fr/ritz-paris.html"
],
"max_reviews": 500
}

Output example

{
"reviewId": "2c3e05a661141bd6",
"hotelId": 280149,
"hotelName": "The Savoy",
"score": 10,
"title": "Junior suite",
"likedText": "Everything was perfect !!!",
"dislikedText": null,
"reviewDate": "2026-06-13T21:02:06.000Z",
"reviewLanguage": "en",
"userName": "Robin",
"userLocation": "Belgium",
"travelerType": "Solo traveler",
"roomInfo": "Junior Suite Room",
"checkInDate": "2026-06-11",
"checkOutDate": "2026-06-13",
"numberOfNights": 2,
"helpfulVotes": 0,
"propertyResponse": "Dear Robin, How lovely to read about your Savoy experience!...",
"hotelRating": 9.4,
"hotelRatingLabel": "Superb",
"hotelReviews": 1450,
"hotelRatingScores": [
{"name": "Staff", "score": 9.67},
{"name": "Facilities", "score": 9.55},
{"name": "Cleanliness", "score": 9.68}
]
}

Pricing

This scraper uses a pay-per-result model. Free tier includes a limited number of reviews per run. Upgrade to a paid Apify plan for unlimited results.

Tips

  • Reviews are returned in the order Booking.com provides them (most recent first by default)
  • The scraper automatically handles pagination — just set your desired count
  • Very popular hotels (10,000+ reviews) may take several minutes for large extractions
  • Each hotel URL is processed sequentially with automatic retry on errors

Limitations

  • Only works with Booking.com hotel pages (not apartments, hostels listed on other platforms)
  • Review text is returned in the original language posted by the guest
  • Maximum ~26,000 reviews tested per hotel in a single run