Booking.com Reviews Scraper ⭐

Scrape Booking.com guest reviews for any hotel — reviewer name, country, score, title, positive & negative text, room type, stay dates, length of stay, helpful votes, partner replies, and review photos. Fast, HTTP-only, structured JSON/CSV/Excel out.

Why use Booking.com Reviews Scraper?

• Every review, not just the first page — paginate through a hotel's full review history.
• Rich per-review data — reviewer name & country, numeric score, title, separate positive and negative text, room type, check-in/out dates, number of nights, customer type, helpful votes, and any partner (hotel) reply.
• Find a hotel two ways — by name (e.g. Sansi Pedralbes Barcelona) or by pasting a Booking.com hotel URL.
• Sort control — most relevant, newest, oldest, highest, or lowest score.
• Category rating breakdown — cleanliness, staff, location, and other sub-scores included per hotel.
• No login, no browser — talks directly to Booking's data API, so runs are fast and cheap.
• Pay only for what you scrape — pay-per-review pricing, no monthly rental.

What data can you extract from each review?

Field	Type	Description
hotelName	string	Hotel the review belongs to
hotelId	number	Booking.com internal hotel ID
hotelUrl	string	Direct Booking.com hotel page URL
reviewUrl	string	Direct link to the review
reviewScore	number	Reviewer's overall score (0–10)
title	string	Review headline
positiveText	string	What the guest liked
negativeText	string	What the guest disliked
language	string	Language code of the review text
reviewedDate	string	ISO 8601 date the review was posted
helpfulVotes	number	Number of "helpful" votes
reviewerName	string	Reviewer's display name
reviewerCountry	string	Reviewer's country
reviewerCountryCode	string	ISO country code
reviewerType	string	Guest type (e.g. Couple, Family, Solo traveller)
reviewerReviewCount	number	How many reviews this guest has written
roomType	string	Room the guest stayed in
customerType	string	Booking customer type
checkinDate / checkoutDate	string	The guest's stay dates
numNights	number	Length of stay in nights
partnerReply	string	The hotel's reply to the review, if any
photos	string[]	URLs of photos attached to the review
scrapedAt	string	ISO 8601 timestamp of collection

Use cases

• Reputation monitoring — track guest sentiment and scores for your property or competitors.
• Review analysis & NLP — feed positive/negative text into sentiment models and topic analysis.
• Hospitality benchmarking — compare category sub-scores (cleanliness, staff, location) across hotels.
• Content & research — surface authentic guest feedback for travel content or market studies.

How to scrape Booking.com reviews

1. Enter a Hotel name (e.g. Sansi Pedralbes Barcelona) or paste one or more Booking.com hotel URLs.
2. Choose how to sort the reviews and set Max reviews per hotel (0 = all).
3. Run and download the results as JSON, CSV, Excel, HTML, or XML — one row per review.

Input configuration

Parameter	Type	Default	Description
hotelQuery	string	—	Hotel name (or "Hotel Name, City") to fetch reviews for. Provide this or Start URLs.
startUrls	array	—	Booking.com hotel page URLs (e.g. https://www.booking.com/hotel/es/sansipedralbes.html).
maxHotels	integer	1	When the query is broad (a city), how many matching hotels to cover. Ignored for exact URLs.
maxReviews	integer	100	Max reviews per hotel. 0 = all available.
sortBy	enum	most_relevant	most_relevant, newest, oldest, score_high, score_low.
language	string	en-us	Language code for review text and labels.
proxyConfiguration	object	Residential	Proxy settings. Residential is strongly recommended.

Output sample

{
  "hotelName": "Sansi Pedralbes",
  "hotelId": 91017,
  "hotelUrl": "https://www.booking.com/hotel/es/sansipedralbes.html",
  "reviewScore": 10,
  "title": "Best service ever!",
  "positiveText": "The service is exceptional.",
  "negativeText": "Nothing. Everything is great.",
  "language": "en",
  "reviewedDate": "2026-07-09T00:00:00.000Z",
  "reviewerName": "Ricardo",
  "reviewerCountry": "Mexico",
  "reviewerType": "Couple",
  "roomType": "Standard Double Room",
  "checkinDate": "2026-07-01",
  "checkoutDate": "2026-07-09",
  "numNights": 8,
  "partnerReply": null,
  "photos": [],
  "scrapedAt": "2026-07-14T04:00:00.000Z"
}

FAQ

Do I need a Booking.com account or API key? No. The scraper pulls public review data directly — no login, cookies, or key required.

How do I target a specific hotel? Either enter its name (e.g. Sansi Pedralbes Barcelona) or paste its Booking.com hotel URL. Hotel names resolve reliably; hyphenated URL slugs also work.

Why are some positiveText / title fields empty? Many Booking guests leave only a score with no written text — those fields are simply blank for those reviews.

Can I get every review? Yes — set maxReviews to 0 to paginate through all available reviews for the hotel.

Which proxy should I use? Residential proxies are strongly recommended. The default configuration uses Apify Residential.

Support

Found a bug or need a field added? Open an issue on the Actor's Issues tab.

Additional services

Need hotel search data (prices, ratings, coordinates, room types) across a whole destination? See our companion Booking.com Scraper on the same fast, HTTP-only pipeline.

Explore more scrapers

Check the Apify Store for more travel and accommodation data tools.

⚠️ Disclaimer

This Actor scrapes only publicly available guest-review information from Booking.com. It does not log in, bypass access controls, or collect private personal data. You are responsible for how you use the extracted data, including compliance with Booking.com's Terms of Service, applicable laws (such as GDPR), and any copyright or database rights. Use the data lawfully and ethically.

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