Hospitality analysts
Destination scans
Compare hotel rankings, amenities, review counts, and ratings across a shortlist before building a market or comp-set report.
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This Tripadvisor hotel details scraper turns approved Tripadvisor Hotel_Review URLs into a structured CSV of property facts: hotel name, review count, ranking, address, phone number, amenities, room features, ratings, walkability signals, scrape time, and the first three image URLs. Import it into the UScraper local desktop app, replace the sample hotel URL, and export hotel detail data without writing a custom crawler.
CSV
20
URL list
Built in
Free
At a glance
This template is built for detail-page enrichment. Instead of searching Tripadvisor for hotels, it starts from hotel URLs you already trust: competitor sets, destination shortlists, lead lists, or links collected from another travel scraper. UScraper then navigates to each page and uses Structured Export to capture the fields that travel analysts usually copy by hand.
The workflow is intentionally conservative. It sets a large viewport, waits for the document body, pauses for dynamic content, clicks common consent and "show all" controls, scrolls to reveal sections, then returns to the top before extraction. The export columns use JavaScript fallbacks from visible text, metadata, JSON-LD, embedded scripts, full HTML, and URL parsing so the run can still produce useful rows when one section is missing.
Hotel details to CSV
Build spreadsheet rows for property comparison, destination research, lead enrichment, or review operations without maintaining your own parser.
Multi-URL batching
Replace the sample Hotel_Review link with a prepared URL list. Loop Continue lets each hotel append to the same local file.
Local custody
The stock workflow writes to your configured desktop folder. Hotel URLs and CSV output stay local unless you add your own sharing step.
Best-effort extraction
The workflow checks visible copy, structured data, metadata, page scripts, and image sources before leaving a column blank.
Who this is for
Hospitality analysts
Destination scans
Compare hotel rankings, amenities, review counts, and ratings across a shortlist before building a market or comp-set report.
Travel agencies
Supplier research
Collect structured hotel facts for itinerary planning, partner qualification, and offline spreadsheets shared with account teams.
Revenue teams
Benchmarking
Monitor amenities, nearby walkability, rating changes, and image availability for competing properties without manual page audits.
For broader lodging research, pair this details workflow with the TripAdvisor Hotel Guest Reviews Scraper, Airbnb Room Listings Scraper, and Trip.com hotel scraper. Browse the full UScraper template library when you need companion travel, restaurant, or map datasets.
How to use
Add hotel URLs
Open the Navigate block and replace the sample Moxy NYC Times Square URL with the Tripadvisor Hotel_Review URLs you are permitted to process.
Check waits and interaction
Keep the page-load wait, body wait, and short sleeps in place. The Inject JavaScript block handles common consent prompts, "show all" buttons, and scroll reveals.
Confirm the export path
Structured Export writes tripadvisor-scraper-hotel-details.csv in append mode with headers. Change the folder before client or destination-specific batches.
Run and inspect
Run a small batch first, open the CSV, and spot-check hotel name, ratings, amenities, and image URLs against the source page before scaling.
Output preview
The export file uses the column names in the workflow definition. Some fields can be blank when Tripadvisor hides content, returns a regional layout, or serves a verification page.
| Field group | CSV columns | Example value |
|---|---|---|
| Source and identity | web_page_url, hotel_name, current_time | Moxy NYC Times Square, 2026-06-01T01:25:00.000Z |
| Reputation | number_of_reviews, ranking, star_rating | 3,543 reviews, #47 of 498 hotels, 4.5 |
| Location and contact | location, phone_number | 485 7th Avenue, New York City, NY 10018-6804; 1 (844) 631-0595 |
| Hotel features | property_amenities, room_features | Fitness center, bar, rooftop terrace; air conditioning, safe, flatscreen TV |
| Rating breakdown | location_rating, cleanliness_rating, service_rating, value_rating | 4.8, 4.6, 4.4, 4.4 |
| Nearby signals | great_for_walkers, number_of_restaurants, number_of_attractions | Grade: 100 out of 100, 546 Restaurants, 137 Attractions |
| Media | image_1, image_2, image_3 | dynamic-media-cdn.tripadvisor.com image URLs |
tripadvisor-scraper-hotel-details.csvColumn
web_page_url
The final Tripadvisor URL opened by the browser.
Column
hotel_name
Hotel name from H1, metadata, fallback mapping, or URL slug.
Column
number_of_reviews
Visible review count when the page exposes it.
Column
ranking
Ranking text such as #47 of 498 hotels in New York City.
Column
location
Address from JSON-LD or visible address text.
Column
phone_number
Telephone link or phone pattern from page text.
Column
property_amenities
Amenities section text after expanding available controls.
Column
room_features
Room feature labels such as air conditioning or flatscreen TV.
Column
star_rating
Overall rating value when exposed in structured data or labels.
Column
image_1
First Tripadvisor CDN image URL detected on the page.
Tripadvisor pages can be publicly viewable, but automated extraction may still be restricted by Tripadvisor terms, robots directives, copyright, privacy law, and contract rules. Use this template only for URLs you are allowed to access, keep runs modest, avoid bypassing access controls, and get legal review before commercial reuse or redistribution.
Before you run
Keep these constraints visible
Long or parallel runs can trigger friction
Use modest URL batches, keep waits in place, and pause when Tripadvisor serves verification, incomplete pages, or repeated empty exports.
Hotel pages change by region and redesign
Missing amenities, ratings, or images usually mean the page layout changed, a section did not render, or Tripadvisor returned a limited content variant.
Public visibility is not the same as reuse permission
Review Tripadvisor terms, robots directives, privacy obligations, and any contractual restrictions before using exported hotel data in commercial datasets.
Download the free JSON, install the desktop app from UScraper download, and use this workflow whenever you need a repeatable way to scrape Tripadvisor hotels into a structured local CSV.
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