Scrape Booking.com Reviews | ⚡ Fast & Browserless

Scrape Booking.com reviews straight from the site's internal review API, not a headless browser. You get the full review content (positive, negative, and title) alongside guest details, stay data, and hotel-wide rating breakdowns, all in one clean dataset.

Whether you need to extract Booking hotel review data for one property or pull reviews at scale across a whole portfolio, this actor calls the same API Booking.com's own frontend uses, so it stays fast and stays online after layout changes that break HTML scrapers.

🎥 Video tutorial

⚡ Why this Booking Reviews Scraper

• Full dataset, not a summary. Every review comes with the complete positive/negative text split, guest profile info, room and stay details, and the hotel's reply where present. Most tools that scrape Booking.com reviews give you a score and a snippet of text and stop there.
• Bypasses Booking.com's bot protection automatically. Booking.com puts an AWS WAF challenge in front of its pages specifically to slow down scrapers. This actor solves that challenge on its own, on every run, so you never see a blocked request.
• Hotel-wide rating breakdown included. Per-category scores (cleanliness, comfort, location, and more) are attached to every review, not buried behind a separate call.
• Flexible filtering. Sort order and translation language match what's available on the live site, plus keyword search across the review title, positive text, and negative text at once.
• Batch scraping. Crawl and extract reviews for multiple hotels in a single run, with a configurable result cap per hotel or unlimited collection.
• Proxies included. The proxy pool is built into the price, nothing to configure.
• Fast, no-code extraction. No browser, no rendering wait. Pure HTTP calls to the same internal API the Booking.com frontend uses.

🎯 Who uses this Booking Reviews Scraper

• Hotel operators & revenue managers monitoring guest feedback across their own properties and reacting to recurring complaints before they hit occupancy.
• Market researchers & hospitality analysts studying guest sentiment, category-score trends, or seasonal patterns across a city or hotel chain.
• Competitor analysis teams benchmarking review scores and category ratings against rival properties to spot where they're losing on cleanliness, location, or service.
• Data teams running sentiment analysis feeding positive/negative review text straight into NLP pipelines for topic and trend detection.
• Reputation monitoring tools tracking new reviews and hotel replies over time to measure response rate and tone.

🧾 What you get, per review

• Review content: title, positive text, negative text, overall score, approval status
• Guest info: username, guest type, review count, country, avatar, anonymity flag, join date
• Stay details: room type, check-in/check-out dates, customer type, stay status
• Hotel reply: reply message, when the hotel responded
• Hotel-wide ratings: category-by-category score breakdown for the hotel
• Keyword match: whether and where a search term was found

🔧 Input options

Field	Description
hotelUrls	One or more Booking.com hotel page URLs
maxResults	Max reviews to collect per hotel. Leave empty to collect all available
sort	Sort order: most relevant, newest, oldest, highest or lowest score
lang	Language reviews are auto-translated into (40+ supported)
search	Keywords to tag in reviews, matched against title, positive, and negative text

Example input

{
    "hotelUrls": [
        { "url": "https://www.booking.com/hotel/it/al-mascaron-ridente.html" },
        { "url": "https://www.booking.com/hotel/it/palazzo-ti-tti.html" }
    ],
    "maxResults": 500,
    "search": ["amazing", "good"],
    "sort": "MOST_RELEVANT"
}

🐍 Run it with Python

Install the client:

$pip install apify-client

Then run the actor and pull the results:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")

run_input = {
    "hotelUrls": [
        {"url": "https://www.booking.com/hotel/it/al-mascaron-ridente.html"},
        {"url": "https://www.booking.com/hotel/it/palazzo-ti-tti.html"},
    ],
    "maxResults": 500,
    "search": ["amazing", "good"],
    "sort": "MOST_RELEVANT",
}

run = client.actor("mof1re/booking-reviews-scraper-browserless").call(run_input=run_input)

for review in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(review["hotel_name"], review["review_score"], review["review_title"])

call() blocks until the run finishes. If you're kicking off a long run and don't want to wait, use client.actor(...).start(run_input=run_input) instead, then poll or fetch the dataset later with the returned run ID.

🤖 Use it from Claude via MCP

This actor also runs as a tool inside Claude (or any other MCP-compatible AI client), no code needed. Apify runs a hosted MCP server at https://mcp.apify.com that exposes Actors from Apify Store as callable tools.

Hosted server (recommended)

Add a custom connector in Claude Desktop with server URL https://mcp.apify.com and sign in with your Apify account. The default tool set already includes Actor search and detail lookup, so you can just ask: "Scrape reviews for these two Booking.com hotels and tag any mentioning 'amazing' or 'good'." Claude finds this actor in Apify Store and runs it with the input you described.

To skip the search step and expose this actor directly, add it to the tools query parameter:

https://mcp.apify.com?tools=mof1re/booking-reviews-scraper-browserless

Local stdio server

For clients that don't support the remote URL, run the server locally:

{
  "mcpServers": {
    "actors-mcp-server": {
      "command": "npx",
      "args": ["-y", "@apify/actors-mcp-server"],
      "env": { "APIFY_TOKEN": "YOUR_APIFY_TOKEN" }
    }
  }
}

To limit the local server to this actor, pass --tools on the command line instead:

npx @apify/actors-mcp-server --tools mof1re/booking-reviews-scraper-browserless

Full setup and tool reference: Apify MCP server docs.

📊 Data Fields

📝 Review Details

Field	Description
hotel_url	Hotel page URL this review belongs to
hotel_name	Name of the hotel
accommodation_type	Type of accommodation (hotel, apartment, etc.)
review_score	Reviewer's overall score for this stay
review_approved	Whether the review passed moderation
review_title	Review headline
review_positive_text	Positive part of the review
review_negative_text	Negative part of the review
review_photos	Photos attached to review in max resolution (if available)
review_reply	Hotel's reply to the review, if any

👤 Guest

Field	Description
guest_username	Display name of the reviewer
guest_type	Type of guest (e.g. couple, solo, family)
guest_reviews	Total number of reviews written by this guest
guest_country	Reviewer's country name
guest_country_code	Reviewer's country code
guest_avatar	URL of the reviewer's avatar image
guest_anonymous	Whether the reviewer chose to stay anonymous
guest_join_date	Date the reviewer joined

🛏️ Stay Details

Field	Description
booking_room	Room type booked by the guest
booking_checkin	Check-in date of the stay
booking_checkout	Check-out date of the stay
booking_customer_type	Customer type for this booking
booking_stay_status	Status of the stay (e.g. completed)

⭐ Ratings & Matching

Field	Description
rating_statistics	Hotel-wide rating breakdown by category (cleanliness, comfort, etc.). Same for every review of a given hotel
keyword_match	True if search keywords were set and at least one matched this review
matched_keywords	Map of matched keyword to the field it was found in (title, positive, or negative text)

📋 Example output

[
  {
    "hotel_url": "https://www.booking.com/hotel/cy/flora-apartments.ro.html",
    "hotel_name": "Flora Hotel Apartments",
    "accommodation_type": "HOTEL",
    "review_score": 9.0,
    "review_approved": true,
    "review_title": "Very enjoyable  weekend break at tha Flora Hotel Appts which was very enjoyable.",
    "review_positive_text": "This was a short two day break to Protaras for my wife’s birthday.\nMy only slight gripe was the mattresses on the beds.\nI don’t know if they were new but they were very hard.\nWe had two breakfasts and one evening meal which were all delicious\nA special shout out to all the staff who were all brilliant.\nThis was our second short stay at the Flora Hotel Appts and we will definitely be back later in the year.",
    "review_negative_text": null,
    "review_photos": null,
    "review_reply": "Thank you for choosing Flora Hotel Apartments for your wife's birthday getaway! We are thrilled to hear that you enjoyed your stay with us and found the breakfasts and evening meal delicious. Your feedback on the mattresses is greatly appreciated, and we will look into improving this for your next visit. We are grateful for your kind words about our staff; they work hard to ensure our guests have a memorable experience. We can't wait to welcome you back later this year for another enjoyable stay.",
    "guest_username": "Brian",
    "guest_type": "Couple",
    "guest_reviews": 19,
    "guest_country": "Cyprus",
    "guest_country_code": "cy",
    "guest_avatar": "https://xx.bstatic.com/static/img/review/avatars/ava-b.png",
    "guest_anonymous": false,
    "guest_join_date": "2013-06-03",
    "booking_room": "Standard Apartment",
    "booking_checkin": "2025-04-04",
    "booking_checkout": "2025-04-06",
    "booking_customer_type": "COUPLES",
    "booking_stay_status": "stayed",
    "rating_statistics": {
      "hotel_staff": {
        "rating_rounded": 9.0,
        "rating_orig": 9.00786304473877,
        "name_translated": "Staff"
      },
      "hotel_services": {
        "rating_rounded": 7.7,
        "rating_orig": 7.72118091583252,
        "name_translated": "Facilities"
      },
      "hotel_clean": {
        "rating_rounded": 8.2,
        "rating_orig": 8.20839023590088,
        "name_translated": "Cleanliness"
      },
      "hotel_comfort": {
        "rating_rounded": 8.1,
        "rating_orig": 8.10650062561035,
        "name_translated": "Comfort"
      },
      "hotel_value": {
        "rating_rounded": 8.5,
        "rating_orig": 8.52496433258057,
        "name_translated": "Value for money"
      },
      "hotel_location": {
        "rating_rounded": 9.2,
        "rating_orig": 9.24711036682129,
        "name_translated": "Location"
      },
      "hotel_free_wifi": {
        "rating_rounded": 8.5,
        "rating_orig": 8.51440048217773,
        "name_translated": "Free Wifi"
      }
    },
    "keyword_match": false,
    "matched_keywords": {}
  },
  {
    "hotel_url": "https://www.booking.com/hotel/cy/flora-apartments.ro.html",
    "hotel_name": "Flora Hotel Apartments",
    "accommodation_type": "HOTEL",
    "review_score": 9.0,
    "review_approved": true,
    "review_title": null,
    "review_positive_text": "Great location, right on top of the northern end of the strip, few minutes walk down to the beach. Room was clean, WiFi was stable, staff were polite and attentive. Would happily stay again if a cheap and cheerful place was needed.",
    "review_negative_text": null,
    "review_photos": null,
    "review_reply": "Thank you for taking the time to share your thoughts! We are thrilled to hear you enjoyed our central location, clean rooms, reliable WiFi, and our attentive staff. It's wonderful to know that you had a pleasant stay with us. We look forward to welcoming you back to Flora Hotel Apartments whenever you need a \"cheap and cheerful\" place in the area. Your kind words mean a lot to us!",
    "guest_username": "Mark",
    "guest_type": "Family",
    "guest_reviews": 14,
    "guest_country": "United Kingdom",
    "guest_country_code": "gb",
    "guest_avatar": "https://graph.facebook.com/v2.9/10157434864745648/picture?type=square&height=64&width=64",
    "guest_anonymous": false,
    "guest_join_date": "2016-09-30",
    "booking_room": "One-Bedroom Apartment",
    "booking_checkin": "2025-03-29",
    "booking_checkout": "2025-03-30",
    "booking_customer_type": "FAMILIES",
    "booking_stay_status": "stayed",
    "rating_statistics": {
      "hotel_staff": {
        "rating_rounded": 9.0,
        "rating_orig": 9.00786304473877,
        "name_translated": "Staff"
      },
      "hotel_services": {
        "rating_rounded": 7.7,
        "rating_orig": 7.72118091583252,
        "name_translated": "Facilities"
      },
      "hotel_clean": {
        "rating_rounded": 8.2,
        "rating_orig": 8.20839023590088,
        "name_translated": "Cleanliness"
      },
      "hotel_comfort": {
        "rating_rounded": 8.1,
        "rating_orig": 8.10650062561035,
        "name_translated": "Comfort"
      },
      "hotel_value": {
        "rating_rounded": 8.5,
        "rating_orig": 8.52496433258057,
        "name_translated": "Value for money"
      },
      "hotel_location": {
        "rating_rounded": 9.2,
        "rating_orig": 9.24711036682129,
        "name_translated": "Location"
      },
      "hotel_free_wifi": {
        "rating_rounded": 8.5,
        "rating_orig": 8.51440048217773,
        "name_translated": "Free Wifi"
      }
    },
    "keyword_match": false,
    "matched_keywords": {}
  },
  {
    "hotel_url": "https://www.booking.com/hotel/cy/flora-apartments.ro.html",
    "hotel_name": "Flora Hotel Apartments",
    "accommodation_type": "HOTEL",
    "review_score": 8.0,
    "review_approved": true,
    "review_title": "Nice option for a short stay",
    "review_positive_text": "Friendly staff",
    "review_negative_text": "Mattress are very hard",
    "review_reply": null,
    "guest_username": "Milos",
    "guest_type": "Solo traveler",
    "guest_reviews": 129,
    "guest_country": "United Kingdom",
    "guest_country_code": "gb",
    "guest_avatar": "https://xx.bstatic.com/static/img/review/avatars/ava-m.png",
    "guest_anonymous": false,
    "guest_join_date": "2013-03-25",
    "booking_room": "One-Bedroom Apartment with Pool View",
    "booking_checkin": "2024-09-27",
    "booking_checkout": "2024-09-30",
    "booking_customer_type": "SOLO_TRAVELLERS",
    "booking_stay_status": "stayed",
    "rating_statistics": {
      "hotel_staff": {
        "rating_rounded": 9.0,
        "rating_orig": 9.00786304473877,
        "name_translated": "Staff"
      },
      "hotel_services": {
        "rating_rounded": 7.7,
        "rating_orig": 7.72118091583252,
        "name_translated": "Facilities"
      },
      "hotel_clean": {
        "rating_rounded": 8.2,
        "rating_orig": 8.20839023590088,
        "name_translated": "Cleanliness"
      },
      "hotel_comfort": {
        "rating_rounded": 8.1,
        "rating_orig": 8.10650062561035,
        "name_translated": "Comfort"
      },
      "hotel_value": {
        "rating_rounded": 8.5,
        "rating_orig": 8.52496433258057,
        "name_translated": "Value for money"
      },
      "hotel_location": {
        "rating_rounded": 9.2,
        "rating_orig": 9.24711036682129,
        "name_translated": "Location"
      },
      "hotel_free_wifi": {
        "rating_rounded": 8.5,
        "rating_orig": 8.51440048217773,
        "name_translated": "Free Wifi"
      }
    },
    "keyword_match": false,
    "matched_keywords": {}
  }
]

❓ FAQ

How is this different from other tools that scrape Booking.com reviews? Most parse the rendered HTML page, which breaks every time Booking.com updates its layout, and most stop cold at Booking.com's WAF challenge. This actor calls the internal API directly and solves the WAF challenge automatically, so it keeps working and keeps returning data.

Does this scraper need an account or API key? No Booking.com account needed. It extracts publicly available review data. You do need an Apify API token to run it via the API or Python client.

How many reviews can I extract per hotel? Up to the limit you set in maxResults, or all available reviews if left empty.

Can I filter reviews by keyword? Yes. Set the search field to match against the review title, positive text, and negative text at once.

Does it work without a browser? Yes. It calls the internal review API directly instead of rendering pages in a browser, which makes it faster and cheaper per review than browser-based crawlers.

Can I get reviews in a specific language? Yes. The lang field matches Booking.com's own review auto-translation options.

Is this legal? Can I scrape publicly available reviews? This tool extracts publicly available review data. You're responsible for complying with the target site's terms of service and applicable data protection laws for your use case.

Can I use this data for competitor analysis or market research? Yes. The hotel-wide rating breakdown and full review text make it suitable for benchmarking competitors, tracking sentiment trends, and building hospitality research datasets.

💳 Pricing

Pay-per-result. You're charged for reviews actually delivered, not for pages fetched or requests made.

⚠️ Notes

• Free-tier accounts are capped at a small sample size per run. Upgrade to a paid Apify plan for full volume.
• Data reflects what's publicly listed on Booking.com at the time of the run; the source updates continuously.

🔗 See also

Need a scraper for another platform? Check out:

• Trustpilot Reviews Scraper
• AirBNB Reviews Scraper
• TripAdvisor Reviews Scraper
• Arbeitsagentur Scraper, Most Complete Result Dataset on Apify