Booking.com Reviews Scraper

Extract real guest reviews from any Booking.com hotel page — ratings, review text, reviewer name and country, room type, stay dates, and trip type.

Use this actor to:

• Monitor your property's reputation — track what guests are saying about a hotel
• Competitive analysis — see what guests praise or complain about at competing properties
• Market research — understand traveler sentiment for a destination or hotel category
• Lead generation — find hotels with recurring complaints you could help solve
• AI training data — build labeled review datasets from real guest feedback

What data you get

Each review includes:

Field	Description
reviewId	Stable Booking.com review id
reviewerName	Guest's display name
reviewerCountry	Guest's country (when shown)
reviewerCountryCode	ISO country code
rating	Score out of 10
title	Review headline
positiveText	What the guest liked
negativeText	What the guest didn't like
language	Language code of the review text
roomType	Room the guest stayed in
checkinDate / checkoutDate	Stay dates (YYYY-MM-DD)
numNights	Length of stay
tripType	Couple, Family, Solo traveler, Group, or Business
helpfulVotes	Helpful-vote count
partnerReply	Hotel's reply, if any
reviewDate	Date the review was published
hotelUrl	Source hotel URL
scrapedAt	When the data was collected

Input

Field	Type	Description
hotelUrl	string	Required. Full Booking.com hotel URL, e.g. https://www.booking.com/hotel/tr/example.html
maxReviews	number	Maximum reviews to collect (default 100). The scraper paginates the hotel's full review list up to this many.
minRating	1-10	Only return reviews with a rating at or above this value
maxRating	1-10	Only return reviews with a rating at or below this value
filterTripType	string[]	Only return reviews matching one of these trip types, e.g. ["Couple", "Solo traveler"]

Example input

{
  "hotelUrl": "https://www.booking.com/hotel/tr/the-pera-hill.html",
  "maxReviews": 100,
  "minRating": 7
}

Output sample

{
  "reviewId": "abc123",
  "reviewerName": "Reem",
  "reviewerCountry": "Egypt",
  "reviewerCountryCode": "EG",
  "reviewDate": "2026-06-20T00:00:00.000Z",
  "rating": 9,
  "title": "Pleasant stay, very good location",
  "positiveText": "The staff is very friendly, the location is perfect",
  "negativeText": "Nothing",
  "language": "en",
  "roomType": "Standard Twin Room",
  "checkinDate": "2026-06-15",
  "checkoutDate": "2026-06-18",
  "numNights": 3,
  "tripType": "Couple",
  "helpfulVotes": 2,
  "partnerReply": "Thank you for staying with us!",
  "hotelUrl": "https://www.booking.com/hotel/tr/the-pera-hill.html",
  "scrapedAt": "2026-07-12T10:17:34.772Z"
}

Notes

• The scraper paginates the hotel's review list up to maxReviews, so you get more than just the latest handful.
• reviewerCountry is left blank for guests whose review doesn't display a country.
• A residential proxy (FlameProxies) is required — set FLAME_PROXIES_API_KEY as a secret environment variable on the Actor.

Pricing

This Actor is billed through the Apify platform: you pay for the platform compute a run uses plus the residential-proxy bandwidth the browser consumes, along with any per-result charge shown on the Actor's Store page. Cost scales with the number of reviews collected.

Disclaimer

This is an unofficial Actor. It is not affiliated with, endorsed by, or sponsored by Booking.com. All product names, logos, and trademarks are the property of their respective owners and are used here for identification purposes only.

The Actor collects only publicly available information. It does not log in, create accounts, bypass paywalls, or access anything that is not visible to an ordinary visitor.

Output may include information relating to identifiable people. You are the data controller for anything you collect with this Actor and are responsible for having a lawful basis to process it under applicable data-protection law (such as GDPR or KVKK), and for complying with the source website's terms.