Booking.com Reviews Scraper

What does Booking.com Reviews Scraper do?

Booking.com Reviews Scraper collects guest reviews from Booking.com hotel pages and returns them as structured records. You give it one or more hotel page URLs, for example https://www.booking.com/hotel/gb/the-savoy.html. For each review it returns the score, the date, the title, what the guest liked and disliked, the guest's name, country and traveler type, the room they booked, the length and dates of their stay, helpful votes, the property's reply and the number of photos.

The Actor opens each hotel page in a real browser and pages through the reviews using the same review request the site uses when you click "Read all reviews". The data therefore comes from the site's structured review data rather than from the page layout, so fields stay consistent between hotels.

You can sort reviews (newest, oldest, most relevant, highest or lowest score), and filter them by language, traveler type, score band and date. You can optionally add an AI label for the overall sentiment and the topics each review mentions.

Typical uses:

• Tracking what guests say about your own property, week by week.
• Comparing the review scores and guest comments of several hotels side by side.
• Building datasets of hotel reviews for research or for training text classifiers.
• Watching for new negative reviews and whether the property replied.

This Actor is an independent tool. It is not affiliated with, endorsed by or sponsored by Booking.com.

What data can you get from Booking.com reviews?

Each dataset item is one review with written text. Reviews that only have a score, with no title or comments, are skipped by default (see includeReviewsWithoutText). Fields that Booking.com does not show for a review are null.

Field	Description	Example
id	Stable record id, same as reviewId	eff248495b926832
reviewId	Booking.com review id	eff248495b926832
hotelUrl	Normalised hotel page URL	https://www.booking.com/hotel/gb/the-savoy.html
hotelId	Numeric Booking.com property id	58958
sourceUrl	Hotel page the review was collected from	https://www.booking.com/hotel/gb/the-savoy.html
score	Guest's review score, 1 to 10	10
reviewDate	Date the review was written (YYYY-MM-DD)	2026-09-20
title	Review headline	Beautiful even for a night
positive	What the guest liked	Elegance
negative	What the guest disliked	Not a single thing
lang	Language code of the review text	en
guestName	Guest display name, usually a first name	Wahner
guestCountry	Reviewer's country	United States
travelerType	Type of trip	Couple
roomType	Room the guest booked	The Carnegie Suites
nights	Number of nights stayed	1
checkIn	Check-in date (YYYY-MM-DD)	2026-09-18
checkOut	Check-out date (YYYY-MM-DD)	2026-09-19
helpfulVotes	"Helpful" votes the review received	0
hasOwnerReply	Whether the property replied	true
ownerReply	Text of the property's reply	Dear Guest, ...
photoCount	Photos attached to the review	0
sentiment	AI label: positive, neutral, negative or mixed	positive
topics	AI labels for the topics mentioned	["staff", "room"]

A few notes on the values:

• lang can be a non-standard code such as xu, which Booking.com uses for reviews whose language it has not identified.
• helpfulVotes is 0 when nobody has voted.
• sentiment and topics are filled only when AI enrichment is on and the AI service answered for that review. Otherwise they are null, as in the example below.

How to use Booking.com Reviews Scraper

1. Open a hotel on Booking.com in your browser and copy the address from the address bar. Any form works: locale domains such as booking.co.uk, language suffixes such as .de.html and query parameters such as ?checkin=... are all normalised to the plain hotel URL.
2. Paste one or more hotel URLs into the Hotel URLs field.
3. Set Max reviews per hotel. Use a small number such as 20 for a first test, or 0 to collect every review the hotel has.
4. Optionally pick a sort order and add filters for language, traveler type, score band or oldest review date.
5. Click Start. When the run finishes, open the Output tab to browse the reviews, or export them as JSON, CSV, Excel or HTML.

Input

Field	Type	Description
startUrls	array	Booking.com hotel pages as objects, e.g. [{"url": "https://www.booking.com/hotel/gb/the-savoy.html"}].
maxReviewsPerHotel	integer	Reviews to collect per hotel. Default 50; 0 collects all available reviews.
maxItems	integer	Optional cap on the total number of reviews across all hotels.
sortBy	string	MOST_RELEVANT, NEWEST_FIRST (default), OLDEST_FIRST, SCORE_DESC or SCORE_ASC.
languageFilter	string	Only reviews written in this language, as a code such as en, de or fr.
travelerTypeFilter	string or list	One of FAMILIES, COUPLES, GROUP_OF_FRIENDS, SOLO_TRAVELLERS, BUSINESS_TRAVELLERS. Case-insensitive; short forms such as couples or solo also work.
reviewScoreFilter	string or list	One of REVIEW_ADJ_SUPERB (9+), REVIEW_ADJ_GOOD (7-9), REVIEW_ADJ_AVERAGE_PASSABLE (5-7), REVIEW_ADJ_POOR (3-5), REVIEW_ADJ_VERY_POOR (1-3). Short forms such as superb or 9+ also work.
minDate	string	Skip reviews written before this date (YYYY-MM-DD). With NEWEST_FIRST, paging stops at the first older review.
includeReviewsWithoutText	boolean	Also return score-only reviews that have no title or comments. Off by default.
enrichment	boolean	Add AI sentiment and topics labels (billed as an extra event). Off by default.
proxyConfiguration	object	Apify Proxy settings. The default Apify Proxy works for most runs.

The run stops immediately with a clear error message if no valid Booking.com hotel URL is given, or if a number or date is invalid. A filter value the Actor does not recognise is ignored with a warning, so the run still returns reviews. If a hotel page no longer exists on Booking.com, it is skipped with a warning.

Example input:

{
    "startUrls": [
        { "url": "https://www.booking.com/hotel/fr/le-bristol-paris.html" },
        { "url": "https://www.booking.com/hotel/us/the-plaza.html" }
    ],
    "maxReviewsPerHotel": 25,
    "sortBy": "NEWEST_FIRST",
    "languageFilter": "en",
    "travelerTypeFilter": "COUPLES",
    "minDate": "2025-01-01",
    "includeReviewsWithoutText": false,
    "enrichment": false
}

Output

One record per review. This is a real record from a run on The Savoy with enrichment off, so sentiment and topics are null:

{
    "id": "c035aefe035f7172",
    "reviewId": "c035aefe035f7172",
    "hotelUrl": "https://www.booking.com/hotel/gb/the-savoy.html",
    "hotelId": 280149,
    "sourceUrl": "https://www.booking.com/hotel/gb/the-savoy.html",
    "score": 10,
    "reviewDate": "2026-09-29",
    "title": "Quality, classic and elegant.",
    "positive": "Location was fantastic,  the history of the hotel and beautiful decor. The staff are lovely,  very kind and friendly. Loved the American Bar and the Spa. The river view is superb. Josh, our butler was fabulous 👌 \nBreakfast in our room overlooking the Thames was a special experience and the food exceptional.",
    "negative": "Going home!",
    "lang": "en",
    "guestName": "Kate",
    "guestCountry": "United Kingdom",
    "travelerType": "Solo traveller",
    "roomType": "Junior King Suite with River View",
    "nights": 3,
    "checkIn": "2026-09-25",
    "checkOut": "2026-09-28",
    "helpfulVotes": 0,
    "hasOwnerReply": true,
    "ownerReply": "Dear Kate, We very much appreciate your comments regarding your recent stay at The Savoy. It is always a pleasure to receive positive feedback and we wish to thank you in particular for your kind recognition of Josh who looked after you so exceptionally. Thank you again for sharing your experience and we hope to warmly welcome you again to The Savoy soon. If we can be of any assistance in the meantime, please let us know. With best regards, Debra Patterson, Quality Leader",
    "photoCount": 8,
    "sentiment": null,
    "topics": null
}

The Output tab has two views: Overview, with the most useful fields (hotel, date, score, title, liked and disliked text, guest, traveler type, room and sentiment), and All fields, with every field listed above.

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

The Actor uses pay-per-event pricing, so the cost depends on how many reviews you collect rather than on compute time. Each review returned is charged as one result. AI enrichment is off by default; if you turn it on, each enriched review is billed as an additional event. See the Pricing tab on this page for current prices. You can cap spending with maxReviewsPerHotel, maxItems or the maximum cost per run setting in Apify Console.

Use with the API

You can start the Actor and read its results from any language through the Apify API. Set the APIFY_TOKEN environment variable to your token from the Apify Console integrations settings.

Python (with the apify-client package):

import os
from apify_client import ApifyClient

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("axiomworks/booking-reviews-scraper").call(run_input={
    "startUrls": [{"url": "https://www.booking.com/hotel/gb/the-savoy.html"}],
    "maxReviewsPerHotel": 20,
    "sortBy": "NEWEST_FIRST",
})
for review in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(review["reviewDate"], review["score"], review["title"])

JavaScript (with the apify-client package):

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('axiomworks/booking-reviews-scraper').call({
    startUrls: [{ url: 'https://www.booking.com/hotel/gb/the-savoy.html' }],
    maxReviewsPerHotel: 20,
    sortBy: 'NEWEST_FIRST',
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.length, 'reviews');

cURL (runs the Actor and returns the dataset items in one call):

curl -X POST "https://api.apify.com/v2/acts/axiomworks~booking-reviews-scraper/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"startUrls":[{"url":"https://www.booking.com/hotel/gb/the-savoy.html"}],"maxReviewsPerHotel":20}'

The Actor also works with the standard Apify integrations: webhooks, schedules, and connections to Google Sheets, Slack, Zapier, Make and other tools. A schedule with sortBy set to NEWEST_FIRST and a minDate is a simple way to collect only recent reviews on a regular basis.

Use with AI agents (MCP)

You can call Booking.com Reviews Scraper from AI assistants such as Claude or Cursor through the Apify MCP server. Add this server to your MCP client configuration:

{
    "mcpServers": {
        "apify": {
            "url": "https://mcp.apify.com?tools=axiomworks/booking-reviews-scraper"
        }
    }
}

The server asks you to sign in with your Apify account the first time. Example prompts:

• "Get the 30 newest Booking.com reviews for https://www.booking.com/hotel/gb/the-savoy.html and summarise the main complaints."
• "Compare the last 50 English reviews of Le Bristol Paris and The Plaza New York on staff and cleanliness."
• "List Booking.com reviews of this hotel with a score below 5 written since January 2025, and say which ones got a reply from the hotel."

The agent reads the input schema to learn which fields it can set, so it can apply sorting and filters on its own.

FAQ

Which URLs can I use? Hotel (property) pages in the form https://www.booking.com/hotel/{country}/{name}.html. Links from other Booking.com domains, with a language suffix or with booking parameters are accepted and normalised. Search result pages and city pages are not supported; open the hotel and copy its address instead.

What if a hotel URL no longer works? Booking.com sometimes renames property pages. When a URL shows "Page not found", the Actor searches Booking.com for the words in the URL and continues with a property in the same country whose name matches them. The reviews then carry that property's hotelUrl. If no property matches, the hotel is skipped and the log names it.

How many reviews can I get per hotel? As many as Booking.com shows for the hotel. Set maxReviewsPerHotel to 0 to collect them all.

Why are some fields empty? Guests don't always write a title or both the "liked" and "disliked" parts, and some reviews are anonymous or have no stay details. Those fields are null rather than guessed.

Why do I get fewer reviews than the hotel's review count? Many Booking.com reviews are only a score, with no written text. The Actor skips those by default, so the reviews you get are the ones with comments. Turn on Include score-only reviews (includeReviewsWithoutText) to get them as well; their title, positive and negative fields are then null.

Are reviews translated? No. Texts are returned in the language the guest wrote them in, and lang tells you which language that is. Use languageFilter to collect only one language.

What does the AI enrichment do? It sends the review title and texts to a third-party AI processor, which labels the overall sentiment and the topics mentioned (cleanliness, staff, location, food, room, value, noise, facilities). The same processor is used, rarely, to recover a score or date if the normal parsing leaves it empty. If the AI service is unavailable, the run continues without the labels and they are not charged.

Do I need a Booking.com account? No. The Actor only reads reviews that anyone can see without logging in.

Is it legal to scrape Booking.com reviews?

Guest reviews on Booking.com are publicly visible without an account, and this Actor collects only that public content. Reviews still contain personal data such as guest first names and countries, so data protection laws like the GDPR may apply to how you store and use the results. Check Booking.com's terms and your local laws for your use case, and ask a lawyer if you are unsure. Collect only what you need, and don't use the data to identify or contact individual guests.

Feedback

Found a bug, a hotel that doesn't work, or a field you would like added? Open an issue on the Issues tab of this Actor's page and include the hotel URL and your run ID. We read every report and use it to improve the Actor.