Booking.com Review Scraper

Scrape Booking.com guest reviews — review title, score, what guests liked and disliked, reviewer name and country, stay details (room type, dates, guest type, nights), helpful votes, and the property's reply — without a Booking.com account, login, or official API. The Booking.com Review Scraper takes a Booking.com property page URL and returns clean structured JSON for reputation monitoring, guest-sentiment analysis, and competitor review research.

What is the Booking.com Review Scraper?

The Booking.com Review Scraper is an Apify Actor that extracts guest reviews for a specific Booking.com property. Paste one or more property page URLs and it pulls reviews directly, returning one flat JSON row per review with the score, the separate "liked" and "disliked" text, the reviewer's name and country, the room type and dates of the stay being reviewed, and the property's reply when one exists. Output is ready for text analysis, Excel, or an API integration.

How to scrape reviews for a Booking.com hotel

1. Open the Booking.com page for the property you want reviews for and copy its URL.
2. Paste it into startUrls. Add more property URLs to cover several hotels in one run.
3. Set maxItems — how many reviews to scrape across all start URLs.
4. Keep proxyConfiguration enabled (required).
5. Click Start. Export as JSON, CSV, Excel, or via the dataset API.

What data can I extract from Booking.com reviews?

Field	Type	Description
reviewUrl	string	Booking.com's internal review identifier
title	string	Review headline
positiveText	string	What the guest liked
negativeText	string	What the guest disliked
score	number	Review score out of 10
language	string	Review language code
reviewerName	string	Reviewer display name
reviewerCountry	string	Reviewer's country
reviewerReviewCount	integer	How many reviews the reviewer has written
roomType	string	Room type the reviewer booked
guestType	string	e.g. COUPLES, FAMILIES, SOLO
stayNights	integer	Number of nights stayed
checkinDate / checkoutDate	string	Stay dates
reviewedDate	string	When the review was posted (ISO)
helpfulVotesCount	integer	How many guests found the review helpful
partnerReply	string	The property's reply to the review, if any

Input example

{
    "startUrls": [{ "url": "https://www.booking.com/hotel/fr/mirific.en-gb.html" }],
    "maxItems": 50,
    "proxyConfiguration": { "useApifyProxy": true }
}

Output example

[
    {
        "reviewUrl": "bbdba55ebbe5b96f",
        "title": "We keep returning!",
        "positiveText": "Its location, in the heart of Batignolles and very close to Brochant Metro.",
        "negativeText": "Hooks needed in the bedroom and bathroom.",
        "score": 9,
        "language": "en",
        "reviewerName": "Jonathan",
        "reviewerCountry": "United Kingdom",
        "reviewerReviewCount": 12,
        "roomType": "Standard Double Room",
        "guestType": "COUPLES",
        "stayNights": 2,
        "checkinDate": "2026-07-20",
        "checkoutDate": "2026-07-22",
        "reviewedDate": "2026-07-25T21:03:13.000Z",
        "helpfulVotesCount": 0,
        "partnerReply": null
    }
]

What you get vs. reading Booking.com reviews manually

Task	Manually on Booking.com	With the Booking.com Review Scraper
Read 300 reviews for recurring themes	Click through page after page	One run, one dataset
Separate praise from complaints	Read each review carefully	positiveText / negativeText, pre-split
Compare competitors' review scores	Visit each property page	Batch startUrls, compare score distributions
Track score trend over time	Manual spreadsheet	Schedule the Actor, diff the dataset
Feed reviews into an NLP pipeline	Manual export	JSON / CSV from the dataset API

How to use it (step by step)

1. Copy the Booking.com property URL for each hotel you want reviews for.
2. Paste into startUrls.
3. Set maxItems to control run size and cost.
4. Leave the proxy on — it is required.
5. Run and export — dataset tab or GET /v2/datasets/{id}/items.
6. Schedule it for ongoing reputation monitoring.

Pricing

Each property page needs a real browser render, so runs consume platform usage per rendered page. Use maxItems to scope smaller, cheaper runs. Exact rates are on the Actor's Pricing tab. [PRICING TBD]

FAQ

What is the Booking.com Review Scraper? An Apify Actor that extracts guest reviews for a Booking.com property — score, liked/disliked text, reviewer details, stay details, property reply — as structured JSON, CSV, or Excel.

Do I need a Booking.com account, API key, or login? No.

What URLs does it accept? Booking.com property page URLs, e.g. https://www.booking.com/hotel/fr/mirific.en-gb.html.

In what order are reviews returned? Sorted by "most relevant" by default, matching what Booking.com shows first-time visitors.

Does it get the property's reply? Yes — partnerReply, when the property has replied.

Is a proxy required? Yes — proxyConfiguration must be enabled. Runs without a working proxy will fail.

What export formats are available? JSON, CSV, Excel, HTML table, RSS, or the Apify dataset API.

Is scraping Booking.com reviews legal? The Actor collects only publicly listed review data. You are responsible for compliant use under Booking.com's terms and the laws that apply to you. Not affiliated with Booking.com.

My other travel scrapers on Apify

Actor	What it does
Booking.com Listings Scraper	Hotel prices, ratings, and room types from Booking.com
Expedia Review Scraper	Traveler reviews and sentiment from Expedia
Expedia Hotel Scraper	Hotel listings and per-room rates from Expedia
Agoda Review Scraper	Guest reviews and stay details from Agoda
Agoda Hotel Scraper	Hotel details and live city pricing from Agoda
Trip.com Review Scraper	Guest reviews and stay details from Trip.com
Trip.com Hotel Scraper	Hotel prices, ratings, and best room rate from Trip.com
TripAdvisor Review Scraper	Full guest reviews and sub-ratings from TripAdvisor
TripAdvisor Hotel Scraper	Hotel details plus per-OTA room rates from TripAdvisor
Airbnb Room Reviews Scraper	Reviews, ratings, and host replies from Airbnb listings
Airbnb Search Scraper	Listings, prices, and hosts from Airbnb search
Airbnb & Vrbo Revenue and Occupancy Estimator	Estimated revenue and occupancy for short-term rentals
Google Hotels Scraper	Hotel prices, ratings, and coordinates from Google Hotels

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Independent tool, not affiliated with or endorsed by Booking.com. Accesses only publicly available data. Report bugs or request features on the Issues tab.