Travel analysts
Property audits
Favorable to scraping
Build a repeatable Booking.com hotel details dataset for destinations in Spain or Spanish-language pages, then filter by score, services, nearby places, and transport access.
Travel & hotels$50Free
Booking.com Details Scraper for Spanish
This Booking.com details scraper extracts Spanish hotel detail pages into a structured CSV for travel research, property comparison, and hospitality audits. Import the workflow into the UScraper local desktop app, replace the sample Booking.com hotel URLs, and export hotel name, location, rating, description, popular facilities, nearby places, transit notes, airport details, and image URLs without building a crawler.
Output
CSV
Fields
18
Input
Hotel URLs
Waits
Built in
Template
Free
At a glance
Export Booking.com hotel details to CSV
Use this template when you already have Booking.com hotel detail URLs and need a clean spreadsheet for Spanish-language property research. The starter workflow includes one confirmed hotel URL, but the Navigate block is designed for a list: add approved hotel pages, keep the locale and language consistent, then let Loop Continue process each URL into the same export file.
The automation is intentionally reviewable. UScraper sets a wide viewport, navigates to a detail page, waits for load, clicks common Spanish and English consent labels, expands visible "leer mas" or "show more" content, pauses briefly, confirms the document body exists, and runs Structured Export. The field logic uses best-effort visible selectors with JSON-LD fallbacks for core hotel facts, so the CSV can still populate when Booking.com moves visible text between modules.
Spanish hotel detail data
Export property identity, address, score, description, facilities, category ratings, nearby attractions, beaches, transit, airports, and up to five hotel image URLs.
Multi-URL detail loop
The Navigate list is your batch input. Each hotel detail URL becomes one appended row, which is easier to audit than open-ended search-result crawling.
Local desktop custody
The stock workflow saves the CSV to your configured folder and does not send hotel URLs or output rows to UScraper infrastructure.
JSON-LD fallback path
When available, embedded hotel metadata helps fill name, address, rating, description, and images before visible-page fallbacks are used.
Who this is for
Booking hotel details use cases
Hotel marketers
Comp-set research
Favorable to scraping
Compare how competing properties describe facilities, location advantages, beaches, airports, restaurants, and highlighted attractions.
Data teams
Enrichment input
Nuanced outcome
Use the CSV as a starting table for manual QA, enrichment, or internal dashboards while keeping platform terms and reuse rights separate from extraction.
For adjacent travel workflows, compare this page with the Booking.com Hotel Listing Scraper for Germany, Booking.com Reviews Scraper for Spain, Google Hotels Scraper by URL, and Tripadvisor Hotel Details Scraper.
How to use
Run the Booking.com hotel scraper
2
Add hotel detail URLs
Replace the starter Booking.com URL in Navigate with the hotel detail pages you are allowed to process. Keep language, currency, dates, and occupancy settings consistent across comparison runs.
3
Keep the waits and expansion step
The workflow waits for page load, tries common consent labels, opens visible read-more sections, sleeps for two seconds, and verifies body before export.
4
Confirm the export path
Structured Export writes booking_hotel_detalles_scraper.csv with headers and append mode. Change the save folder before client or destination batches.
5
Run and review
Start with a small URL set, open the CSV, and spot-check hotel names, descriptions, facilities, nearby places, and images before expanding the batch.
Output preview
CSV fields from the Booking data extractor
No CSV sample was bundled with the template, so the preview below mirrors the actual export columns and realistic Spanish Booking.com detail-page values. Long neighborhood sections are stored as text so analysts can review or split them downstream.
| hotel | ubicacion | calificacion | etiqueta | servicios_populares | que_hay_cerca | imagen |
|---|---|---|---|---|---|---|
| Hostal Noria | Tarragona, Cataluna, Espana | 7.3 | Hostal | WiFi gratis | Anfiteatro romano | https://cf.bstatic.com/xdata/images/hotel/sample1.jpg |
| Hotel Centro Plaza | Sevilla, Andalucia, Espana | 8.4 | Hotel | Recepcion 24 horas | Terraza | Catedral de Sevilla | Alcazar | https://cf.bstatic.com/xdata/images/hotel/sample2.jpg |
| Apartamentos Costa Azul | Malaga, Andalucia, Espana | 8.8 | Apartamento | Cocina | Parking | Playa cercana | Restaurantes | https://cf.bstatic.com/xdata/images/hotel/sample3.jpg |
booking_hotel_detalles_scraper.csvColumn
hotel
Hotel name from JSON-LD, page title, or visible heading.
Column
ubicacion
Address assembled from metadata or visible address text.
Column
calificacion
Main property rating when Booking.com exposes it.
Column
etiqueta
Property type badge such as hotel, hostal, apartment, or lodging label.
Column
descripcion
Spanish property description, expanded when read-more content is available.
Column
servicios_populares
Popular facilities joined into one pipe-separated cell.
Column
categoria_calificar
Category subscores visible on the hotel detail page.
Column
que_hay_cerca
Nearby places section text when present.
Column
restaurantes_y_cafeterias
Restaurants and cafes near the property.
Column
atracciones_turisticas_destacadas
Top attractions or places of interest.
Column
playas_la_zona
Beach proximity section when shown.
Column
transporte_publico
Public transport details.
Column
aeropuertos_mas_cercanos
Closest airport information.
Column
imagen
Primary Booking.com hotel image URL.
Column
imagen2
Second image URL when available.
Column
imagen3
Third image URL when available.
Column
imagen4
Fourth image URL when available.
Column
imagen5
Fifth image URL when available.
Headers included - every configured Booking.com detail URL appends one hotel row
Comparison
Local template vs cloud Booking.com scrapers
| Option | Good fit | Trade-off |
|---|---|---|
| UScraper Booking.com detail template | No-code teams that need hotel detail pages exported to CSV in a local desktop app | Best for controlled URL batches, not CAPTCHA bypass or high-volume infrastructure |
| Cloud scraping actors | Teams that want hosted scheduling, proxies, and API-style delivery | Hotel URLs and output pass through a third party and may bill per request, run, or row |
| Official Booking.com APIs | Approved partners who need sanctioned data access and contractual guarantees | Requires eligibility, credentials, endpoint fit, and developer integration |
Frequently asked questions
Booking.com hotel pages can be publicly visible and still governed by Booking.com terms, robots directives, copyright, database rights, privacy law, and local regulations. Use conservative pacing, do not bypass CAPTCHA or access controls, and get legal review before commercial reuse.
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.
Layout drift
Hotel modules vary by locale and availability
Empty sections usually mean the page did not show that module, the language changed, the source layout shifted, or the JSON-LD fallback did not include the field.
Compliance
Use approved data workflows
Review Booking.com terms, robots directives, official API options, data rights, and local law before collecting, enriching, republishing, or reselling exported hotel data.
Download the free JSON, install the local desktop app from UScraper download, and use this workflow when you need to export Booking.com 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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