Booking.com Reviews Scraper — Hotel Review Extraction avatar

Booking.com Reviews Scraper — Hotel Review Extraction

Pricing

Pay per usage

Go to Apify Store
Booking.com Reviews Scraper — Hotel Review Extraction

Booking.com Reviews Scraper — Hotel Review Extraction

Extract Booking.com hotel reviews with full depth: positive and negative comments, overall scores, reviewer nationality, room type, stay duration, traveler type, and complete hotel metadata including star rating, facilities, location scores, and category breakdowns.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Ricardo Akiyoshi

Ricardo Akiyoshi

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

9 hours ago

Last modified

Categories

Share

Booking.com Reviews Scraper

Extract hotel reviews from Booking.com with full depth. Get positive and negative comments, reviewer details, scores, room types, stay duration, traveler types, and complete hotel metadata.

What data does it extract?

Per review

  • Review text -- both positive ("Liked") and negative ("Disliked") sections
  • Review title -- the headline summary written by the guest
  • Overall score -- numeric score (1-10 scale)
  • Review date -- when the review was written
  • Stay date -- month and year of the actual stay
  • Reviewer name and country of origin
  • Room type -- the specific room booked (e.g., "Deluxe King Room")
  • Nights stayed -- duration of the stay
  • Traveler type -- solo, couple, family, or group
  • Review language -- original language of the review

Per hotel

  • Hotel name, address, city, country
  • Star rating (1-5)
  • Overall score and total review count
  • Category scores -- Staff, Facilities, Cleanliness, Comfort, Value for Money, Location, Free WiFi
  • Facilities list -- parking, pool, spa, restaurant, etc.
  • Photo URLs -- hotel and room images
  • Description -- full hotel description text
  • Check-in/Check-out times
  • Property type -- hotel, apartment, hostel, etc.

Use cases

  • Hospitality research -- analyze guest sentiment across hotels, chains, or destinations
  • Hotel benchmarking -- compare review scores and category ratings between competing properties
  • Travel analytics -- track seasonal patterns, identify trending destinations, measure satisfaction trends
  • Reputation management -- monitor what guests say about your property vs. competitors
  • Investment due diligence -- evaluate hotel performance through guest satisfaction data before acquisition
  • Content marketing -- generate data-driven travel guides and destination comparisons
  • Service improvement -- identify the most common complaints and praised features across properties

Input examples

Scrape reviews from specific hotels

{
"hotelUrls": [
"https://www.booking.com/hotel/us/the-plaza-new-york.html",
"https://www.booking.com/hotel/gb/the-savoy.html"
],
"maxReviews": 500,
"sortBy": "recent",
"language": "en"
}

Search a destination and scrape top hotels

{
"searchQuery": "Paris",
"maxHotelsFromSearch": 20,
"maxReviews": 200,
"sortBy": "recent",
"guestType": "couple"
}

Get only negative reviews for competitor analysis

{
"hotelUrls": ["https://www.booking.com/hotel/fr/ritz-paris.html"],
"maxReviews": 1000,
"sortBy": "lowest",
"language": "all"
}

Filter by guest type for family travel research

{
"hotelUrls": ["https://www.booking.com/hotel/us/disney-contemporary-resort.html"],
"maxReviews": 500,
"guestType": "family",
"sortBy": "recent"
}

Output example

{
"hotelName": "The Plaza",
"hotelUrl": "https://www.booking.com/hotel/us/the-plaza-new-york.html",
"hotelStarRating": 5,
"hotelOverallScore": 8.9,
"hotelTotalReviews": 4521,
"reviewerName": "Sarah",
"reviewerCountry": "United Kingdom",
"overallScore": 9.2,
"reviewTitle": "Unforgettable luxury experience",
"positiveText": "The rooms are stunning, staff was incredibly attentive, and the location on Central Park is unbeatable. Afternoon tea in the Palm Court was magical.",
"negativeText": "The valet parking fee was quite steep at $75/night.",
"reviewDate": "2025-12-15",
"stayDate": "November 2025",
"roomType": "Deluxe King Room with Park View",
"nightsStayed": 3,
"travelerType": "Couple",
"reviewLanguage": "en",
"scrapedAt": "2026-03-02T12:00:00.000Z"
}

Pricing

This actor uses pay-per-event pricing. You are charged $0.004 per review extracted. Hotel metadata is included at no extra cost.

ReviewsCost
100$0.40
500$2.00
1,000$4.00
10,000$40.00

Tips for best results

  1. Use proxies -- Booking.com has anti-bot protections. Apify proxies are recommended.
  2. Start with fewer reviews -- test with maxReviews: 50 before running large extractions.
  3. Language filter -- set language: "all" if you want reviews in every language, or specify a language code for targeted results.
  4. Sort by recent -- gives you the freshest data for trend analysis.
  5. Combine with hotel details -- keep includeHotelDetails: true for complete property context.

Integrations

Connect this scraper to your workflow:

  • Google Sheets -- export reviews directly to spreadsheets
  • Webhooks -- get notified when scraping completes
  • API -- integrate with your own applications
  • Zapier / Make -- automate review monitoring pipelines

Support

Built by Sovereign AI. For questions or feature requests, open an issue on GitHub or contact ricardo.yudi@gmail.com.