Booking Reviews Scraper — Extract Booking.com Guest Reviews & Ratings

Scrape Booking.com guest reviews — full review text, scores, traveler types, nationalities, stay details, and owner replies. No coding required.

Paste a hotel's Booking.com URL, type its name, or just enter a destination — click Start and get one clean JSON record per review: score, title, what guests liked and disliked (full text), review date, guest profile (name, country, traveler type), the exact room and stay dates, and the property's reply when it responded.

Filters run server-side, so you only scrape (and pay for) what you need: traveler type, score bucket (Wonderful 9+ … Very poor), review language, season, and free-text keywords like breakfast or noise. Sort newest-first and set a cutoff date to scrape only reviews since your last run — perfect for scheduled monitoring.

Scales from one hotel to whole markets: up to 10,000 reviews per property (Booking's own ceiling), and destination searches take the top hotels automatically — hotel discovery is free, you pay only for reviews. All 45 Booking.com languages, at $1 per 1,000 reviews — half the price of comparable scrapers, with no start fee.

Rated Excellent — 4.6 based on 25 reviews on Trustpilot.

Output example: Booking.com review data in JSON

Each review becomes one dataset item:

{
  "hotel_id": 5218600,
  "hotel_name": "Hyatt Place New York City - Times Square",
  "hotel_url": "https://www.booking.com/hotel/us/hyatt-place-new-york-city-times-square.html",
  "query": "New York → Hyatt Place New York City - Times Square",
  "id": "f3471c6807b78fa3",
  "score": 10,
  "title": "Great location and good value",
  "positive": "Location is great, near subway and bus, walkable distance to Times Square and Broadway. Breakfast is good, staff are friendly and helpful.",
  "negative": "Room size is limited",
  "language": "en",
  "date": "2026-08-25",
  "helpful_votes": 0,
  "is_approved": true,
  "photos": [],
  "guest": {
    "name": "Xiaowei",
    "country_code": "au",
    "country": "Australia",
    "type": "group_of_friends",
    "review_count": 23,
    "member_since": "2014-10-27",
    "avatar": "https://xx.bstatic.com/static/img/review/avatars/ava-x.png",
    "is_anonymous": false
  },
  "stay": {
    "checkin": "2026-08-18",
    "checkout": "2026-08-21",
    "nights": 3,
    "room_id": 521860001,
    "room_name": "Standard King Room",
    "status": "stayed"
  },
  "owner_reply": "Thank you for staying with us — we're glad the location worked so well for your group!"
}

You can download the dataset as JSON, CSV, Excel, XML, or an HTML table.

What data does the Booking Reviews Scraper extract?

Data group	Fields
Review	Score, title, full positive text, full negative text, language, date, helpful votes, approval flag, photos
Guest	Name, country and country code, traveler type (family, couple, solo, business, group), review count, member-since date, avatar, anonymous flag
Stay	Check-in/check-out dates, nights, room id and room name, stay status
Owner	The property's public reply to the review, when present
Hotel context	Numeric hotel id, hotel name, Booking.com link, and the query that found it — so multi-hotel datasets stay organized

How to scrape Booking.com reviews

1. Click Try for free.
2. Add hotels any way you like — paste hotel page URLs, paste a search results URL, or type hotel names or destinations (each search takes the top hotels automatically).
3. Set max reviews per hotel and optionally filters: traveler type, score bucket, language, season, keyword — or a cutoff date to only get recent reviews.
4. Click Start and wait for the run to finish.
5. Open the Dataset tab to preview your reviews, then download them as JSON, CSV, Excel, XML, or an HTML table.

No proxies, no browser setup, no CAPTCHA solving — you paste a hotel and get structured reviews back.

Input

{
  "startUrls": [
    "https://www.booking.com/hotel/us/pod-times-square.html",
    "https://www.booking.com/searchresults.html?ss=New York&nflt=class%3D5"
  ],
  "searchQueries": ["Hyatt Place Times Square"],
  "maxHotelsPerSearch": 5,
  "maxReviewsPerHotel": 100,
  "sortBy": "newest",
  "cutoffDate": "2026-08-01",
  "customerType": "all",
  "score": "all",
  "timeOfYear": "all",
  "keyword": "",
  "locale": "en-us"
}

Field	Type	Description
startUrls	array	Booking.com hotel page URLs, and/or search results URLs (top maxHotelsPerSearch hotels taken, with the URL's embedded filters applied).
searchQueries	array	Destinations (New York) or hotel names (Hyatt Place Times Square).
maxHotelsPerSearch	integer	Top hotels per search to scrape reviews for (default 5).
maxReviewsPerHotel	integer	Up to 10,000 per property (default 100). Controls your cost.
sortBy	string	newest (default), most_relevant, oldest, highest_score, lowest_score.
cutoffDate	string	Only reviews on/after this date. With newest-first sorting, scraping auto-stops at the cutoff.
customerType	string	all, families, couples, group_of_friends, solo_travellers, business_travellers.
score	string	all, wonderful (9+), good (7–9), fair (5–7), poor (3–5), very_poor (1–3).
reviewLanguage	string	2-letter code like en, de — only reviews written in that language.
timeOfYear	string	all, mar_may, jun_aug, sep_nov, dec_feb.
keyword	string	Free-text search inside review texts.
locale	string	Response language for labels (45 Booking.com languages).

How much does it cost to scrape Booking.com reviews?

Scraping Booking.com reviews costs $1 per 1,000 reviews ($0.001 per review) — half of what comparable scrapers charge, with no Actor start fee. Hotel discovery (destination searches, URL resolution) is free — you pay only for reviews delivered, and every review is billed exactly once.

Apify gives you $5 in free credits every month, so you can scrape your first 5,000 reviews free and test the Booking Reviews Scraper before paying anything.

FAQs

Why scrape Booking.com reviews?

• Reputation monitoring — track new reviews of your (or competitors') properties on a schedule, with the cutoff date delivering only what's new since the last run.
• Sentiment & product analysis — thousands of structured liked/disliked texts per property, pre-filtered by traveler type, season, or keyword.
• AI & ML training data — clean, labeled review text with scores, languages, and traveler segments, exportable in bulk.
• Market research — reviews of the top hotels of an entire destination in one run.

Can I scrape reviews by hotel name or destination?

Yes — that's built in. Type a hotel name (Hyatt Place Times Square) and its reviews are scraped directly; type a destination (New York) and the top maxHotelsPerSearch hotels are taken automatically. You can also paste a Booking.com search results URL — its embedded filters (stars, score, price) are applied when picking the hotels. Discovery is never billed.

How many reviews can I get per hotel?

Up to 10,000 per property — Booking.com's own ceiling (400 pages × 25 reviews). Set maxReviewsPerHotel to control depth and cost.

How do I monitor new reviews automatically?

Keep sortBy: newest, set cutoffDate to your last check, and put the Actor on an Apify Schedule. Scraping stops automatically as soon as older reviews are reached — you pay only for the new ones. Webhooks can push each run's dataset wherever you need it.

Do filters reduce what I pay?

Yes. Traveler type, score bucket, language, season, and keyword filters run server-side — filtered-out reviews are never scraped, never appear in your dataset, and are never billed.

Will I be charged twice for the same review?

No. Hotels are deduplicated per run — the same hotel arriving via a URL and a search is scraped once. Every review row is billed exactly once, and failed pages are never billed.

How fresh is the data?

Reviews are scraped from Booking.com on demand — the newest review in your dataset can be from the same day. Each response also includes the property's own filter counts, so numbers match what visitors see on the site.

Is it legal to scrape Booking.com reviews?

The Actor extracts publicly available review data only — the same reviews any visitor sees. It collects no data from behind logins. You are responsible for how you use the data; consult a lawyer if unsure about your use case.

Need hotel prices and details too?

Use our Booking Scraper — search whole destinations with live prices, ratings, and full hotel details (rooms, facilities, photos), then feed its link values straight into this Actor's startUrls.

Support

Built by developers, for developers — when you reach out, you talk to the engineers who built the Actor, not a support script. Message us anytime and we'll resolve your query within 1 working day.

Email: happy.to.help@omkar.cloud

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