Booking.com Reviews Scraper

Extract real guest reviews from any Booking.com hotel page — ratings, review text, reviewer name and country, room type, stay date, 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
reviewerName	Guest's display name
reviewerCountry	Guest's country (when shown)
rating	Score out of 10
title	Review headline
positiveText	What the guest liked
negativeText	What the guest didn't like
roomType	Room the guest stayed in
stayDate	When the stay took place
tripType	e.g. "Couple", "Solo traveler", "Family with young children"
reviewDate	Date the review was published
hotelUrl	Source hotel URL
scrapedAt	When the data was collected

Input

Field	Type	Description
hotelUrl	string	Full Booking.com hotel URL, e.g. https://www.booking.com/hotel/tr/example.html
maxReviews	number	Maximum number of reviews to collect (default: 100). A single run typically returns the hotel's ~10 most recent reviews.
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"]
proxyConfiguration	object	Proxy settings (Apify Proxy recommended)

Example input

{
  "hotelUrl": "https://www.booking.com/hotel/tr/the-pera-hill.html",
  "maxReviews": 10,
  "minRating": 7
}

Output sample

{
  "reviewerName": "Reem",
  "reviewerCountry": "Egypt",
  "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",
  "roomType": "Standard Twin Room",
  "stayDate": "June 2026",
  "tripType": "Couple",
  "hotelUrl": "https://www.booking.com/hotel/tr/the-pera-hill.html",
  "scrapedAt": "2026-07-12T10:17:34.772Z"
}

Notes

• Each run returns a hotel's most recent reviews (typically up to ~10) rather than its full review history.
• reviewerCountry is left blank for guests whose review doesn't display a country.
• Apify Proxy is strongly recommended — without it, requests are much more likely to be blocked.

License

MIT

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.