Hotel operators
Guest experience
Favorable to scraping
Collect recent guest comments and category scores, then tag themes around staff, cleanliness, comfort, Wi-Fi, location, and value for money.
Travel & hotels$50Free
Booking.com Reviews Scraper for CSV Export
This Booking.com reviews scraper exports hotel guest feedback into a structured CSV for hospitality research, reputation monitoring, and competitor review analysis. Import the workflow into the UScraper local desktop app, replace the sample hotel URL, and collect hotel category scores, reviewer country, review date, review text, and review score without writing a crawler.
Output
CSV
Fields
14
Pagination
Guarded loop
Safety cap
190 pages
Template
Free
At a glance
Export Booking.com reviews to CSV
This template is tuned for hotel review pages where Booking.com renders guest review cards after the main property page loads. The bundled workflow uses a sample Shinjuku Prince Hotel URL, scrolls toward the review section, clicks common review prompts, waits for review cards, and exports one CSV row per visible review card.
The automation is intentionally readable: Navigate -> Wait for Page Load -> open reviews -> Sleep -> Wait for Element -> Structured Export -> mark next page -> Click -> Sleep -> export again. A page counter stops the loop after 190 review pages, which protects long runs from persistent or misleading Next controls.
Review rows with hotel context
Export the hotel name and source URL beside category scores, reviewer identity, country, review date, text, and score.
Pagination already wired
The graph checks whether a usable next-review button exists, clicks it when available, pauses for asynchronous loading, and appends the next page of rows.
Local desktop execution
The stock workflow writes the CSV to your configured local folder. It does not send exported review rows through a hosted scraping actor unless you add that step.
Locale-aware fallbacks
The export columns include English and Japanese label patterns for common Booking.com review scores and date text.
Who this is for
Booking.com review export use cases
Travel analysts
Comp-set research
Favorable to scraping
Compare review language and score patterns across known properties, keeping the raw review URL and reviewer country available for audit checks.
Agencies
Reputation reporting
Nuanced outcome
Build repeatable CSV snapshots for hospitality SEO and reputation projects while handling quote reuse, personal data, and platform policy review separately.
For adjacent travel datasets, pair this workflow with the Booking.com Hotel Listing Scraper for Germany, Booking.com Reviews Scraper for Spain, and Tripadvisor Hotel Reviews Scraper. Browse the UScraper template library when you need companion hotel, map, or restaurant workflows.
How to use
Configure the Booking.com reviews scraper
2
Replace the hotel URL
Edit the Navigate block with the Booking.com hotel page you are allowed to process. Keep locale, occupancy, and review-tab parameters when they matter to your research.
3
Confirm page access
Run a browser session that can load the hotel reviews area. Booking.com may show cookie prompts, regional layouts, login nudges, CAPTCHA, or unavailable review modules.
4
Set the export path
Structured Export writes booking-jp-reviews-scraper.csv with headers and append mode. Change the save folder before client, market, or property-specific batches.
5
Run and audit
Start with one hotel, open the CSV, spot-check row counts and blank fields, then expand only after the review text and scores match the source page.
Output preview
CSV fields produced by this Booking.com review extractor
No sample CSV was bundled with the template, so the rows below mirror the actual export columns and realistic Booking.com hotel review values. Hotel-level category scores repeat on each review row so you can filter, pivot, or join rows without a separate property table.
| hotel_name | staff | cleanliness | location | reviewer_id | country | review_date | review_text | review_score |
|---|---|---|---|---|---|---|---|---|
| Shinjuku Prince Hotel | 8.3 | 8.0 | 9.0 | Jordan | United States | May 2026 | Great location near the station. Room was compact but clean. | 8.0 |
| Shinjuku Prince Hotel | 8.3 | 8.0 | 9.0 | Priya | India | April 2026 | Staff helped with luggage and the check-in process was fast. | 9.0 |
| Shinjuku Prince Hotel | 8.3 | 8.0 | 9.0 | Alex | Australia | March 2026 | Easy access to restaurants, but the room felt small for two bags. | 7.0 |
booking-jp-reviews-scraper.csvColumn
hotel_name
Property title from the Booking.com page heading or hotel title selectors.
Column
review_url
Current Booking.com review URL for audit and reruns.
Column
staff
Hotel staff category score when visible.
Column
facilities
Facilities category score from the page summary.
Column
cleanliness
Cleanliness score captured from visible hotel ratings.
Column
comfort
Comfort category score.
Column
value_for_money
Value for money category score.
Column
location
Location category score.
Column
free_wifi
Free Wi-Fi score when Booking.com exposes it.
Column
reviewer_id
Reviewer display name parsed from the review card.
Column
country
Reviewer country or location text.
Column
review_date
Visible review date cleaned from English or Japanese labels.
Column
review_text
Review title plus positive and negative text when present.
Column
review_score
Per-review score parsed from the review card.
Headers included - every loaded Booking.com review page appends into one file
Comparison
Local template vs Booking.com APIs and cloud actors
| Option | Good fit | Trade-off |
|---|---|---|
| UScraper Booking.com reviews template | No-code users who need Booking.com reviews to CSV from a local desktop app | Best for controlled hotel batches and reviewable research exports |
| Booking.com official APIs | Approved partners who need sanctioned access and contractual guarantees | Requires eligibility, credentials, endpoint coverage, and API implementation |
| Hosted scraping actors | Teams that want managed infrastructure, scheduling, or API delivery | Hotel URLs and review output pass through a third party and may bill by request, page, or row |
Frequently asked questions
Booking.com reviews may be publicly visible, but automated collection can still be limited by Booking.com terms, robots directives, copyright, database rights, privacy law, and how you reuse the data. Use conservative pacing, do not bypass CAPTCHA or access controls, and get legal review before commercial use.
Before you run
Practical limits and maintenance notes
Keep these Booking.com constraints visible
Rate limits
Booking.com can throttle or challenge automation
Keep batches modest, avoid parallel runs against the same hotel, and pause when CAPTCHA, login walls, or unusual response pages appear.
Layout drift
Review-card markup can change
Blank names, missing category scores, or empty review text usually mean Booking.com served a different layout, language, or review module and the export mapping needs review.
Compliance
Respect guest privacy and platform rules
Reviews can include personal data and protected text. Treat the CSV as a research export, document your lawful basis, and avoid republishing review content without rights review.
Download the free JSON, install the local desktop app from UScraper download, and use this workflow when you need to export Booking.com reviews into a structured CSV.
Get Started
Download and use this template instantly
$50Free
What's Included
- Template JSON file ready to import
- Pre-configured scraping nodes
- Works with UScraper desktop app
Open-source templates
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