How much does Booking.com Reviews Scraper cost?

$0.0015 per successful guest review — $1.5 per 1,000. Billing is pay-per-result on your own Apify account: no subscription, and a run that returns nothing costs nothing.

What do I need to provide to run Booking.com Reviews Scraper?

Nothing is mandatory — every field has a working default. The settings you will usually change are Booking.com property review URLs, Maximum reviews per property, Retry blocked pages through a proxy.

Do I need to code to use Booking.com Reviews Scraper?

No. It is a ready-to-run cloud tool: open it on Apify, fill in the form, click Run, and download the results. Everything runs on Apify's servers, so there is nothing to install or host.

Booking.com Reviews Scraper

Q: What data does Booking.com Reviews Scraper return?

A structured dataset with 8 fields per record, including propertyName, rating, reviewTitle, positiveText, negativeText, reviewerName, stayDate, reviewUrl. Export it as JSON, CSV or Excel, or send it straight to your app, a database or an AI agent.

Extract public Booking.com guest reviews: rating, review title, positive and negative text, reviewer name and country.

29 runs on Apify $0.0015 per successful guest review ($1.5 / 1,000)

Run this in the cloudRun on Apify →

Reviews & Reputation Data

How it works

1
Open it on Apify
Hit Run on Apify — it opens the tool in the cloud, no install.
2
Set the inputs
Adjust propertyUrls, maxReviewsPerProperty, enableResidentialFallback (sensible defaults are pre-filled).
3
Click Run
The tool runs on Apify’s cloud and collects the data for you.
4
Export the results
Download as JSON, CSV or Excel, or pipe straight into your app, Google Sheets, or an AI agent.

Pricing

$0.0015 per successful guest review = $1.5 per 1,000

You are charged for	When	Price
Successful guest review	One public Booking.com guest review row returned to the dataset.	$0.0015

Pay-per-event pricing: you are billed per result, not per subscription — a run that returns nothing costs nothing beyond the start fee. Billing is handled by Apify on your own account. These are the live Apify store prices, in effect since 2026-07-28, and they are what you are actually charged.

Inputs

Field	What it does	Type
`propertyUrls`	Booking.com hotel, apartment, or property URLs. The actor converts property pages to their public guest-review pages. Empty input returns one uncharged sample row.	array
`maxReviewsPerProperty`	Maximum currently visible featured guest review rows returned for each property. The actor stops early to keep browser compute and proxy use bounded.	integer
`enableResidentialFallback`	When direct Booking.com traffic is blocked or rate-limited, retry that page once through a rotating datacenter proxy (or through your own proxy servers, if you supply them). Metered proxy groups such as RESIDENTIAL are not used.	boolean

What you get

A structured dataset — each result includes fields like:

propertyNameratingreviewTitlepositiveTextnegativeTextreviewerNamestayDatereviewUrl

Export every run as JSON, CSV or Excel, or send it to your app, a database, Google Sheets, or an AI agent.

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Where this tool sits

Categories: Reviews & Reputation Data Travel, Hotels & Events
Platforms: Booking.com

Booking.com Reviews Scraper

Extract currently visible public Booking.com guest-review highlights for hotel, apartment, and other accommodation URLs. Each real result is one visible review card with the property score, reviewer details, and review text Booking.com exposes without sign-in.

Input

Field	Required	Description
`propertyUrls`	No	One or more Booking.com property URLs. Empty input returns an uncharged sample row.
`maxReviewsPerProperty`	No	Maximum currently visible featured review rows per property, from 1 to 10. Default: 10.
`enableResidentialFallback`	No	Retry a page once through a proxy after direct traffic is blocked or rate-limited. Default: off.
`proxyConfiguration`	No	Proxy settings for that retry. Your own `proxyUrls` are used exactly as given. Metered Apify groups (`RESIDENTIAL`, `GOOGLE_SERP`) are not offered and are replaced with rotating datacenter addresses.

Example:

{
  "propertyUrls": ["https://www.booking.com/hotel/ca/fairmont-royal-york.en-gb.html"],
  "maxReviewsPerProperty": 10,
  "enableResidentialFallback": false
}

Output

Each successful row contains:

propertyName, propertyUrl, reviewUrl, and rating
positiveText, plus reviewTitle and negativeText when Booking.com exposes them
reviewerName, reviewerCountry, and other visible fields when Booking.com displays them
reviewKind (featured_public_review), transport (direct_browser, or <lane>_browser_fallback for a proxied retry), and scrapedAt

An empty input returns one clearly labelled sample row. A blocked, invalid, or empty target returns a diagnostic row. Neither is charged. Only genuine review rows call Actor.charge({ eventName: "review" }).

Proxy and Cost Control

The actor attempts direct Booking.com review-page HTTP first. When Booking renders only an empty static shell, it loads the public property page directly to read its visible featured review cards. It makes at most one proxied browser retry, only after a BLOCKED or RATE_LIMITED browser response, and only when enableResidentialFallback is enabled or you supplied your own proxy servers. That retry uses rotating Apify datacenter addresses (or your own servers); metered per-gigabyte groups such as RESIDENTIAL are never used, so proxy transfer never inflates the cost of a run. Keep review limits small while validating a target because browser compute is still billed per run.

Pricing

$1.50 per 1,000 reviews ($0.0015 each), with no run-start fee. Flat rate — no volume tiers, no plan gates — and you are charged only for reviews actually returned.

Sample rows, diagnostic rows, blocked pages and no-result runs are never charged, so a run that finds nothing costs nothing at all. Because there is no run-start fee, running one property per scheduled check costs exactly the same as batching ten properties into a single run.

Scope

This actor extracts public featured reviews displayed on Booking.com property pages. It does not bypass logins or CAPTCHAs, access private guest data, guarantee full historical pagination, or promise that Booking.com will preserve the current page markup.