Hotel revenue teams
Comp-set checks
Export approved Italy hotel pages to compare visible prices, review depth, score labels, room types, and distance from a landmark such as Vesuvio.
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This Booking.com hotel scraper for Italy exports Booking.com hotel detail and result URLs into a structured CSV for destination research, price checks, and competitive hotel analysis. Import the workflow into the UScraper local desktop app, add the Booking.com URLs you are allowed to process, and collect keyword, stay dates, guests, hotel name, location, URL, distance, score, review label, review count, price, recommended room, and sustainability label without writing a crawler.
CSV
13
Italy
Hotel URLs
Free
At a glance
This template is built for known Booking.com Italy hotel URLs, especially links that already include check-in, checkout, guest count, room count, destination, and selected room parameters. Those URL values help the Bookingcom data extractor preserve the search context beside the visible property data, so the exported spreadsheet is easier to audit later.
The automation path is intentionally simple: Navigate -> Wait for Page Load -> Wait for Element -> Sleep -> Structured Export -> Loop Continue. UScraper opens one hotel page, waits up to 45 seconds for the document, checks for a heading or Open Graph title, gives late-loading modules two more seconds, writes the configured fields, and moves to the next URL in the Navigate list.
Italy hotel rows for spreadsheets
Export one row per supplied Booking.com page with stay details, guests, score, review count, price, room recommendation, and the original page URL.
Multi-URL workflow
Add more Booking.com result or hotel detail URLs to the Navigate block, then let Loop Continue process each approved page into the same append-mode CSV.
Local desktop custody
The stock workflow writes the CSV to your configured folder. Hotel URLs and exported rows stay local unless you add your own upload or sharing step.
Fallback-friendly extraction
The export logic uses page metadata, URL parameters, visible text, and known sample fallbacks when Booking.com shifts fields between page modules.
Who this is for
Hotel revenue teams
Comp-set checks
Export approved Italy hotel pages to compare visible prices, review depth, score labels, room types, and distance from a landmark such as Vesuvio.
Travel researchers
Destination supply
Build a reviewable dataset of Italian hotels, villas, and apartments, then filter by location, occupancy, date range, sustainability label, and price.
Agencies and consultants
Client reporting
Use the export as an auditable first pass for approved research while keeping legal review, platform terms, and any reuse of Booking.com content separate from extraction.
For adjacent travel workflows, pair this template with the Booking.com Listings Scraper, Booking.com Reviews Scraper, Google Hotel Scraper, and Tripadvisor Hotel List Scraper for Italy. Browse the full UScraper template library when you need review, search-result, or map enrichment after the hotel URLs are collected.
How to use
Add Booking.com URLs
Replace or extend the sample Italy hotel URLs in Navigate. Keep check-in, checkout, guests, rooms, destination, and room-block parameters when those values matter to the export.
Preserve waits and pacing
The workflow waits for page load, waits for a heading or page title metadata, then sleeps for two seconds before reading dynamic room, score, and price content.
Confirm the export path
Structured Export writes crawler-lista-hotel-booking.csv with headers and append mode. Change the save folder before client or destination batches.
Run and review
Start with the bundled three Vesuvio-area URLs, open the CSV, and spot-check hotel names, prices, room text, review counts, and page URLs before scaling the list.
Output preview
No sample CSV was bundled with the workflow, so the rows below mirror the actual export columns and realistic Italy hotel values from the configured Vesuvio examples. Price, room, and sustainability values are best-effort because Booking.com changes those modules by date, occupancy, language, currency, cookies, and availability.
| parola_chiave | date_del_soggiorno | ospiti | nome | posizione | distanza | punteggio | recensione | numero_recensioni | prezzo | travel_sustainable |
|---|---|---|---|---|---|---|---|---|---|---|
| Vesuvio | 2024-01-26 - 2024-01-27 | 5 adults · 2 children · 1 room | Terrazza sul Vesuvio | Pompei | a 5,8 km da Vesuvio | 9,2 | Eccezionale | 118 | US$175 | |
| Vesuvio | 2024-01-26 - 2024-01-27 | 5 adults · 2 children · 1 room | Villa la Colombaia | Portici | a 6,5 km da Vesuvio | 8,9 | Favoloso | 86 | US$320 | |
| Vesuvio | 2024-01-26 - 2024-01-27 | 5 adults · 2 children · 1 room | Villa Porpora | Pompei | a 8,9 km da Vesuvio | 9,4 | Ottimo | 42 | US$810 | Livello 1 |
crawler-lista-hotel-booking.csvColumn
parola_chiave
Keyword or destination context inferred from URL parameters, such as Vesuvio.
Column
date_del_soggiorno
Check-in and checkout dates parsed from the Booking.com URL.
Column
ospiti
Adults, children, and room count from URL parameters.
Column
nome
Hotel or property name from headings, metadata, or the page title.
Column
posizione
City or location text parsed from page metadata or visible city links.
Column
pagina_url
The current Booking.com page URL used for audit and reruns.
Column
distanza
Distance from the searched landmark when visible or mapped from the sample URL.
Column
punteggio
Numeric review score such as 8,9 or 9,4.
Column
recensione
Localized review label such as Ottimo, Favoloso, Wonderful, or Excellent.
Column
numero_recensioni
Review count parsed from visible review text.
Column
prezzo
Visible price or fallback price from Booking.com pricing URL parameters.
Column
camera_consigliata
Recommended room block, room size, beds, and occupancy details when available.
Column
travel_sustainable
Sustainability label or level when Booking.com exposes it.
Comparison
| Option | Good fit | Trade-off |
|---|---|---|
| UScraper Booking.com template | No-code teams that need Booking.com hotel data to CSV from a local desktop app | Best for controlled URL batches, not CAPTCHA bypass or high-volume infrastructure |
| Cloud scraping actors | Teams that want hosted runs, scheduling, proxies, and API-style delivery | Hotel URLs and output pass through a third party and may bill per request, page, or row |
| Booking.com APIs | Partners with approved access and contractual data requirements | Requires official onboarding, credentials, implementation work, and API limits |
Booking.com hotel pages may be publicly visible, but automated collection can still be limited by Booking.com terms, robots directives, copyright, database rights, privacy law, and local rules. Use modest pacing, do not bypass CAPTCHA or access controls, and get legal review before using exported hotel data commercially.
Before you run
Keep these constraints visible
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, redirects, or unusual response pages.
Hotel layouts vary by language, dates, and availability
Missing prices, room types, distance, or review labels usually mean the URL lacks stay context, the page served a different module, or Booking.com changed the layout.
Use approved data workflows
Review Booking.com terms, robots directives, data 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 hotels into a structured local CSV.
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