Hotel operators
Guest feedback
Export recent Booking.com reviews for a managed Spain property, then tag common issues around cleanliness, location, comfort, staff, Wi-Fi, and value.
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This Booking.com reviews scraper exports Spain hotel guest reviews into a structured CSV for reputation analysis, market research, and hotel operations work. Import the workflow into the UScraper local desktop app, run the bounded Booking.com reviewlist URLs, and collect hotel scores, reviewer details, review dates, summaries, positive text, and negative text without writing a crawler.
CSV
18
0-70
Built in
Free
At a glance
This Booking.com data extractor is tuned for Spanish Booking.com review pages. The bundled workflow starts from reviewlist endpoint URLs for a Spain property, steps through eight offsets, waits for .review_list_new_item_block rows, then exports the visible review data with custom columns. The approach avoids modal next-button interception and prevents open-ended pagination loops.
Use it when you already know the hotel or reviewlist URLs you want to analyze. The template is not a hotel discovery scraper; it is a review export workflow for spreadsheet-first teams that need recent guest feedback, overall property metrics, category scores, and per-review text in one CSV.
Hotel context and review text
Export the hotel name, overall score, review count, category ratings, reviewer name, date, traveler type, review score, summary, positives, and negatives.
Bounded pagination by URL
The Navigate block includes offsets from 0 through 70, then Loop Continue advances each page without relying on fragile modal pagination clicks.
Local desktop execution
The CSV is written to your configured local folder. The stock workflow does not send exported review rows through UScraper infrastructure.
Cleaner row selection
Structured Export is scoped to the parent review item so repeated nested text does not become duplicate review rows.
Who this is for
Hotel operators
Guest feedback
Export recent Booking.com reviews for a managed Spain property, then tag common issues around cleanliness, location, comfort, staff, Wi-Fi, and value.
Travel analysts
Market snapshots
Compare review score patterns across Spanish city hotels and keep the raw positive and negative text beside each structured rating.
Agencies
Client reporting
Build auditable CSV snapshots for hospitality SEO or reputation reports while keeping quote reuse, privacy, and platform policy review separate from collection.
For adjacent travel datasets, pair this workflow with the Tripadvisor Hotel Reviews Scraper, Google Hotel Scraper, and Google Maps Reviews Scraper. Browse the UScraper template library for map, hotel, and restaurant workflows.
How to use
Set the reviewlist URLs
Replace the sample Spain reviewlist URLs in Navigate with the Booking.com hotel review URLs you are allowed to access. Keep the offset sequence bounded for predictable runs.
Confirm the export path
Structured Export writes booking-resena-scraper.csv with headers enabled and append mode on. Change the save folder before running client or property batches.
Run the loop
UScraper navigates, waits for page load, waits for review rows, exports each parent review block, and then advances to the next configured URL.
Open and audit the CSV
Review row counts, blank fields, duplicate text, language variants, and a few source pages before using the file in reporting or analysis.
Output preview
No sample CSV was bundled with the template, so the rows below mirror the actual export columns and realistic Booking.com Spain review values. Page-level property scores repeat on each review row so you can filter or pivot without a separate hotel table.
| hotel | calificacion | cantidad_de_comentario | nombre | fecha_de_comentario | calificacion_personal | resumen | buenos | malos |
|---|---|---|---|---|---|---|---|---|
| Cabo Noval House | 8.4 | 75 | Maria | 12 de junio de 2026 | 9.0 | Fantastico apartamento centrico | Ubicacion excelente y camas comodas. | El ascensor era pequeno. |
| Cabo Noval House | 8.4 | 75 | Daniel | 28 de mayo de 2026 | 8.0 | Muy buena estancia | Limpieza, cocina equipada y llegada sencilla. | Algo de ruido por la noche. |
| Cabo Noval House | 8.4 | 75 | Ana | 9 de abril de 2026 | 10 | Excepcional | Cerca de restaurantes y transporte. | Nada importante. |
booking-resena-scraper.csvColumn
hotel
Configured hotel name for the review set.
Column
calificacion
Overall property score captured with the current hotel context.
Column
cantidad_de_comentario
Visible review count for the property.
Column
personal
Staff category score.
Column
limpieza
Cleanliness category score.
Column
ubicacion
Location category score.
Column
nombre
Reviewer name parsed from the review card.
Column
fecha_de_comentario
Review date text cleaned from the card.
Column
resumen
Review title or short summary.
Column
buenos
Positive review text.
Column
malos
Negative review text.
Comparison
| Option | Good fit | Trade-off |
|---|---|---|
| UScraper Booking.com Spain review template | No-code users who need Booking reviews to CSV from a local desktop app | Best for controlled URL batches and reviewable research exports |
| Booking.com official APIs | Approved partners who need sanctioned access and contractual reuse terms | Requires eligibility, API credentials, and endpoint coverage for the data you need |
| Hosted scraping actors | Teams that want managed extraction infrastructure | URLs and exported reviews pass through a third party and may be billed by request or row |
Booking.com reviews may be publicly visible, but automated collection can still be limited by Booking.com terms, robots directives, copyright, privacy law, database rights, and the way you reuse the data. Use conservative pacing, do not bypass CAPTCHA or access controls, and get legal review before commercial reuse.
Before you run
Keep these constraints visible
Booking.com can throttle or challenge automation
Use modest batches, avoid parallel runs, and pause when CAPTCHA, anti-bot checks, or unusual response pages appear.
Reviewlist markup can change
Missing names, blank positive text, or shifted scores usually mean Booking.com changed page structure and the Structured Export columns need review.
Respect platform rules and guest privacy
Reviews can include personal data and protected text. Treat the CSV as a research export and document your lawful basis before publishing, sharing, or enriching the data.
Download the free template, install the local desktop app from UScraper download, and use it when you need to export Booking.com reviews for approved Spain hotel analysis.
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