Hotel operators
Comp-set monitoring
Favorable to scraping
Compare guest sentiment, room mentions, review grades, and stay patterns across nearby German hotels before a pricing or positioning review.
Travel & hotels$50Free
Booking.com Hotel Details Scraper for Germany
This Booking.com hotel details scraper exports Germany hotel pages and review data into a structured CSV for hotel research, competitor analysis, and review-quality audits. Import the workflow into the UScraper local desktop app, add the Booking.com hotel URLs you are allowed to process, and collect hotel title, address, score, review count, reviewer profile, review text, room type, stay details, and traveler type without building a crawler.
Output
CSV
Fields
16
Market
Germany
Input
Hotel URLs
Template
Free
At a glance
Export Booking.com hotel data and reviews to CSV
This template is built for known Booking.com Germany hotel detail URLs, not broad keyword search pages. That makes it useful when you already have a comp set, destination shortlist, or approved list of properties and need a repeatable Booking.com to CSV export with review-level context.
The automation path follows a clear pattern: Set Window Size -> Navigate -> Wait for Page Load -> Wait for Element -> Sleep -> Inject JavaScript -> Wait for Review Rows -> Structured Export -> Loop Continue. In plain terms, UScraper visits each hotel URL, waits for the page body, gives dynamic content time to settle, creates exportable review rows, writes the CSV, and then advances to the next URL.
Hotel and review rows together
Each review row carries hotel-level fields such as title, address, main score, grade, and review count, so analysts can filter review text without losing property context.
Multi-URL Germany workflow
The Navigate block holds the hotel detail URL list, and Loop Continue keeps the same extraction flow moving across Berlin, Munich, Hamburg, or any other approved Germany property set.
Local desktop custody
The stock workflow writes the CSV to your configured local folder. Hotel URLs, review snippets, and exported rows stay on your machine unless you add your own sync step.
Review pagination included
The injected step requests Booking.com's same-origin review pages in offsets and creates stable rows for Structured Export, with a fallback row if review access is blocked.
Who this is for
Use cases for Booking.com hotel details exports
Travel researchers
Review analysis
Favorable to scraping
Export positive and negative review text into a spreadsheet, then tag recurring issues such as breakfast, noise, location, cleanliness, or room size.
Agencies and consultants
Client datasets
Nuanced outcome
Build controlled hotel-review extracts for approved research while keeping Booking.com terms, privacy rules, and reuse limits separate from the scraping step.
For adjacent travel workflows, use the Booking.com Hotel Listing Scraper for Germany to collect candidate properties first, then enrich review data with this template. You can also compare outside Booking.com with the Google Hotel Scraper, Tripadvisor Hotel Scraper for Germany, or the broader UScraper template library.
How to use
Scrape Booking.com hotel details in five steps
2
Add hotel detail URLs
Replace the sample Booking.com Germany URLs in Navigate with approved property pages. Keep locale, date, guest, and room parameters when they affect the visible review or room context.
3
Preserve waits and the review loop
The workflow waits for the page, pauses briefly, then runs a review-pagination step that prepares .uscraper-review-row elements for export.
4
Confirm the CSV path
Structured Export writes booking-hotel-details-scraper-for-germany.csv with headers and append mode. Change the save folder before client, city, or destination batches.
5
Run and inspect
Start with two or three hotel URLs, open the CSV, and spot-check score, reviewer, review text, room, and stay columns before expanding the list.
Output preview
CSV fields from this Booking.com data extractor
No CSV sample was bundled with the workflow, so the rows below mirror the actual Structured Export columns and realistic Germany hotel review values. When Booking.com blocks review access or returns no review cards, the template emits a hotel-level fallback row so the run still records the input URL and property-level fields.
| input_url | titel | kundenbewertung | name | nationalitaet | bewertungstitel | vorteil | nachteil | zimmer_typ | person_typ |
|---|---|---|---|---|---|---|---|---|---|
| booking.com/hotel/de/park-inn-berlin-alexanderplatz.de.html | Park Inn by Radisson Berlin Alexanderplatz | 7.5 | Anna | Germany | Central stay | Excellent transport links and city view. | Check-in queue was long. | Standard Double Room | Couple |
| booking.com/hotel/de/grimms-am-potsdamer-platz.de.html | Grimm's Berlin Potsdamer Platz | 8.8 | Marco | Italy | Quiet and convenient | Clean room, helpful staff, good breakfast. | Room was smaller than expected. | Comfort Room | Solo traveler |
| booking.com/hotel/de/example-hamburg.de.html | Example Hamburg Hotel | 8.1 | Priya | India | Good business stop | Close to station and reliable Wi-Fi. | Street noise at night. | Business Room | Business traveler |
booking-hotel-details-scraper-for-germany.csvColumn
input_url
The Booking.com hotel detail URL processed in the current loop.
Column
titel
Hotel title from visible page headings or property title modules.
Column
adresse
Hotel address as displayed on the Booking.com detail page.
Column
kundenbewertung
Main hotel-level review score, such as 8.8.
Column
bewertungsgrad
Hotel-level label such as Very Good, Superb, Hervorragend, or Sehr gut.
Column
anzahl_der_bewertungen
Hotel-level review count when available.
Column
name
Reviewer name from each review card.
Column
nationalitaet
Reviewer nationality or country label.
Column
bewertung_abgegeben
Review date as Booking.com displays it.
Column
bewertungstitel
Review title or headline.
Column
vorteil
Positive review text, often the liked field.
Column
nachteil
Negative review text, often the disliked field.
Column
persoenliche_kundenbewertung
Reviewer-specific score when present.
Column
zimmer_typ
Room type tied to the review or visible stay details.
Column
details
Stay date, length of stay, or related review context.
Column
person_typ
Traveler type such as Couple, Family, Group, Solo traveler, or Business traveler.
Headers included - every supplied Booking.com hotel URL appends into one file
Comparison
Local desktop app vs Booking.com APIs and cloud scrapers
| Option | Good fit | Trade-off |
|---|---|---|
| UScraper Booking.com details template | No-code users who need review and hotel fields in a local CSV | Best for controlled URL batches, not guaranteed platform access or high-volume crawling |
| Booking.com partner APIs | Approved commercial integrations with sanctioned data contracts | Requires eligibility, credentials, engineering work, and API-specific field mapping |
| Hosted cloud scrapers | Teams that want managed infrastructure, proxies, or scheduled jobs | Hotel URLs and output pass through a third party and may bill per request, page, or row |
Frequently asked questions
Booking.com pages and reviews may be publicly visible, but automated collection can still be limited by Booking.com terms, robots directives, copyright, database rights, privacy law, and local regulations. Use modest pacing, avoid bypassing access controls, and get legal review before using exported hotel or review data commercially.
Before you run
Practical limits and maintenance notes
Keep these constraints visible
Rate limits
Booking.com can throttle or challenge automation
Keep batches modest, preserve the built-in waits, avoid parallel loops against the same site, and pause if Booking.com returns CAPTCHA, verification, or unusual response pages.
Review access
Review endpoints may be restricted
The workflow uses same-origin review pages from the active hotel session. If those responses are blocked, the fallback row prevents a failed run but review-level fields may be empty.
Compliance
Use approved data workflows
Review Booking.com terms, robots directives, privacy rules, database rights, and local law before collecting or republishing exported rows. Use official partner access when your use case requires sanctioned data guarantees.
Download the free JSON, install the local desktop app from UScraper download, and use this workflow when you need to export Booking.com reviews and hotel details into a structured local 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
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