Hotel revenue teams
Comp-set checks
Favorable to scraping
Export approved Italian hotel pages to compare total review volume, overall rating, service, cleanliness, location, value, and visible contact details across a competitor set.
Travel & hotels$50Free
Tripadvisor Hotel Detail Scraper for Italy CSV Export
This Tripadvisor hotel detail scraper exports Italian Tripadvisor.it hotel detail pages into a structured CSV for hospitality research, competitor monitoring, and destination analysis. Import the workflow into the UScraper local desktop app, add approved Hotel_Review URLs, and collect hotel names, addresses, phone numbers, total reviews, rating breakdowns, descriptions, nearby restaurant counts, and nearby attraction counts without writing a crawler.
Output
CSV
Fields
13
Market
Italy
Inputs
Multi-URL
Template
Free
At a glance
Export Tripadvisor Italy hotel details to CSV
This template is built for detail-page enrichment. It does not search Tripadvisor for new hotels; it starts from hotel URLs you already trust, such as competitor sets, destination shortlists, or detail links collected from a listing workflow. UScraper navigates through the URL list and uses Structured Export to capture the property facts analysts usually copy by hand.
The automation path is direct: Navigate to a known hotel URL, wait for the page to load, inject a small interaction script, wait for body, run Structured Export, and continue the loop. The export tries live extraction from JSON-LD, visible page text, telephone links, address elements, and rating labels. The bundled demo includes fallback values for three sample Italian hotel URLs when Tripadvisor returns a DataDome CAPTCHA or HTTP 403 response during testing.
Hotel profile rows, not just listing cards
Export property-level fields such as address, phone number, total reviews, overall rating, sub-ratings, description, nearby restaurants, and nearby attractions.
Multi-URL input list
Replace the sample Tripadvisor.it hotel pages with approved detail URLs and keep append mode enabled so each hotel becomes one row in the same CSV.
Local desktop execution
The stock workflow writes the CSV to your configured local folder. Hotel URLs and exported rows are not sent to UScraper infrastructure unless you add your own upload step.
Best-effort extraction
The workflow checks structured data first, then visible page content and fallback patterns before leaving a field blank.
Who this is for
Use cases for Tripadvisor hotel data exports
Travel market researchers
Destination analysis
Favorable to scraping
Build a CSV of hotel descriptions and nearby counts before grouping properties by city, review depth, rating band, and surrounding restaurant or attraction density.
Agencies and consultants
Client reporting
Nuanced outcome
Create auditable snapshots for approved hospitality research while keeping legal review, quotation rights, and data reuse decisions separate from extraction.
Pair this detail workflow with the Tripadvisor Hotel Scraper for Italy when you need hotel URLs first, the Tripadvisor Hotel Review Scraper for Italy when you need guest review rows, and the Tripadvisor Hotel Details Scraper for a broader global detail-page variant. Browse the full UScraper template library for companion travel, restaurant, and lodging templates.
How to use
Configure the Tripadvisor hotel detail scraper
2
Add hotel detail URLs
Open the Navigate block and replace the three sample Tripadvisor.it Hotel_Review URLs with pages your team is permitted to process.
3
Keep the waits and interaction script
The workflow waits for page load, clicks common consent and "read more" controls, and waits for body before the export step runs.
4
Confirm the export path
Structured Export writes crawler_dettagli_hotel_tripadvisor.csv with headers and append mode. Change the save folder before client, region, or batch-specific runs.
5
Run and audit the output
Start with one or two hotel pages, compare several fields against the rendered browser page, then expand the URL list only if the session remains stable.
Output preview
CSV fields produced by this Tripadvisor hotels CSV workflow
The export uses Italian column names from the workflow definition. Page-level values repeat once per hotel, which makes the file easy to join with listing exports, review exports, or internal destination research.
| pagina_attuale | nome_hotel | indirizzo | recensioni_totali | rating_generale | rating_pulizia | numero_ristorante_nelle_vicinanze | numero_attrazioni_nelle_vicinanze |
|---|---|---|---|---|---|---|---|
| https://www.tripadvisor.it/Hotel_Review-...d4521282... | Sicilia's Residence Hotel - Art & Spa | Collina Aci Trezza, 95022, Aci Catena, Sicilia Italia | 430 recensioni | 5,0 | 5.0 | 15 | 0 |
| https://www.tripadvisor.it/Hotel_Review-...d1068538... | Decumani Hotel de Charme | Via San Giovanni Maggiore Pignatelli 15, 80134, Napoli Italia | 2.538 recensioni | 4,5 | 4.5 | 322 | 216 |
| https://www.tripadvisor.it/Hotel_Review-...d238045... | Villa Schuler | Piazzetta Bastione Via Roma, 2, Taormina, Sicilia Italia | 1.829 recensioni | 5,0 | 5.0 | 153 | 87 |
crawler_dettagli_hotel_tripadvisor.csvColumn
pagina_attuale
The final hotel page URL with hash fragments removed.
Column
nome_hotel
Hotel name from JSON-LD, H1, or demo fallback.
Column
indirizzo
Structured address, visible address text, or map-link text.
Column
numero_telefono
Telephone from structured data or tel links when visible.
Column
recensioni_totali
Total review count parsed from structured data or page text.
Column
rating_generale
Overall hotel rating.
Column
rating_posizione
Location sub-rating.
Column
rating_pulizia
Cleanliness sub-rating.
Column
rating_servizio
Service sub-rating.
Column
rating_qualita_prezzo
Value or quality-price sub-rating.
Column
presentazione
Hotel description from JSON-LD, metadata, or visible description text.
Column
numero_ristorante_nelle_vicinanze
Nearby restaurant count when visible.
Column
numero_attrazioni_nelle_vicinanze
Nearby attraction count when visible.
Headers included - each accessible Hotel_Review URL appends one detail row
Comparison
Local Tripadvisor hotel scraper vs API and cloud options
| Option | Good fit | Trade-off |
|---|---|---|
| UScraper local desktop app | No-code users who need approved Tripadvisor hotel details to CSV with local files | Best for modest URL batches and accessible pages, not CAPTCHA bypass or high-volume scraping infrastructure |
| Tripadvisor Content API | Teams with approved partner access and sanctioned content requirements | Requires eligibility, API approval, and developer integration rather than a ready CSV workflow |
| Hosted scraping actors | Teams that want managed infrastructure, queues, and API-style delivery | Hotel URLs and output pass through a third party and may bill by request, page, compute, or row |
Frequently asked questions
Tripadvisor hotel pages may be publicly visible, but automated extraction can still be limited by Tripadvisor terms, robots directives, copyright, privacy law, and local contract rules. Use only URLs you are allowed to access, keep runs modest, do not bypass verification, and get legal review before commercial reuse.
Before you run
Practical limits and maintenance notes
Keep these constraints visible
Rate limits
Long or repeated hotel-page runs can trigger challenges
Keep URL batches modest, preserve waits, avoid parallel loops against the same site, and treat repeated CAPTCHA or 403 pages as a stop signal.
Selector drift
Tripadvisor layouts and locales change
Blank ratings, addresses, or nearby counts usually mean the page layout changed, a section did not render, or the browser received a regional or consent variant.
Compliance
Public visibility is not reuse permission
Review Tripadvisor terms, robots directives, privacy obligations, and contractual restrictions before using exported hotel details in commercial datasets or reports.
Download the free JSON, install the local desktop app from UScraper download, and use this workflow when you need to export Tripadvisor hotels 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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