Hotel revenue teams
Comp-set checks
Compare review depth, visible ranking, sub-ratings, walkability, facilities, and nearby restaurant or attraction counts across hotels in the same Japanese destination.
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This Tripadvisor hotel details scraper for Japan exports approved Tripadvisor.jp Hotel_Review URLs into a structured CSV for hospitality research, competitor tracking, and destination analysis. Import the workflow into the UScraper local desktop app, add Japan hotel detail pages, and collect hotel name, reviews, ranking, address, phone, facilities, room features, ratings, nearby counts, image URL, and source URL without writing a crawler.
CSV
18
Japan
Hotel URLs
Free
At a glance
This Tripadvisor data extractor is built for detail-page enrichment, not hotel discovery. Start with hotel URLs from your approved shortlist, competitor set, destination research, or a companion listing scraper. UScraper then runs a browser workflow that follows the JSON graph: Navigate -> Wait for Page Load -> Sleep -> Wait for Element -> Structured Export -> Sleep -> Loop Continue.
During testing, Tripadvisor returned HTTP 403 DataDome CAPTCHA pages for some analysis runs. The template is intentionally documented as best effort: run in visible browser mode, solve any permitted manual challenge when prompted, and treat repeated verification pages as a stop signal. For the bundled sample URLs, the export includes URL-keyed fallback values from the Octoparse preview so rows are still auditable when a challenge shell is served.
Hotel profile rows
Export one structured row per Tripadvisor.jp hotel URL, including identity, reputation, address, contact, amenity, rating, nearby-count, timestamp, and image fields.
Multi-URL workflow
Replace the two bundled Kanazawa hotel pages with approved Hotel_Review URLs and keep append mode enabled for one combined CSV.
Local desktop execution
The stock template writes output to your configured local folder. URLs and CSV rows do not go to UScraper infrastructure unless you add a sharing block.
Best-effort extraction
The columns read visible text, metadata, JSON-LD, page images, and known sample fallbacks before leaving a field blank.
Who this is for
Hotel revenue teams
Comp-set checks
Compare review depth, visible ranking, sub-ratings, walkability, facilities, and nearby restaurant or attraction counts across hotels in the same Japanese destination.
Travel researchers
Destination analysis
Build a spreadsheet of hotel facts for Kanazawa, Tokyo, Kyoto, Osaka, or regional travel studies before enrichment, manual scoring, or visualization.
Agencies and consultants
Client reporting
Create auditable local snapshots for approved hospitality research while handling platform terms, robots directives, and reuse permissions as separate compliance decisions.
For companion workflows, use the Tripadvisor Hotel Listings Scraper for Japan to collect hotel URLs first, the Tripadvisor Hotel Details Scraper for a broader detail-page variant, and the Jalan Hotel Listings Scraper for Japan lodging research outside Tripadvisor. Browse the UScraper template library for more travel and review datasets.
How to use
Add hotel detail URLs
Open the Navigate block and replace or extend the bundled Tripadvisor.jp hotel pages with URLs your team is permitted to process.
Run visibly when challenged
Keep the page-load wait, eight-second pause, and body wait. If Tripadvisor presents a manual CAPTCHA in the visible browser, handle it only when your use case allows that access.
Confirm the CSV path
Structured Export writes tripadvisor-jp-hotel-details-scraper.csv with headers and append mode. Change the save folder before client, region, or destination-specific runs.
Run and audit
Start with one or two URLs, open the CSV, and spot-check hotel name, address, ratings, facilities, and image URL against the rendered page before expanding the batch.
Output preview
No final CSV sample was bundled, so this preview mirrors the actual export columns and sample values embedded in the workflow. Live output can vary by language, region, date, consent state, and whether Tripadvisor serves normal hotel content or a challenge page.
| web_page_url | hotel_name | review_count | ranking | location | star_rating | walkability |
|---|---|---|---|---|---|---|
| https://www.tripadvisor.jp/Hotel_Review-g298115-d23420833-Reviews-Onyado_Nono_Kanazawa-Kanazawa_Ishikawa_Prefecture_Hokuriku_Chubu.html | 御宿 野乃 金沢 | 22件の口コミ | 4位:金沢市の温泉旅館で16軒中 | 〒920-0917 石川県 金沢市 下堤町1-1 | 4.5 | 100 |
| https://www.tripadvisor.jp/Hotel_Review-g298115-d301965-Reviews-Hotel_Nikko_Kanazawa-Kanazawa_Ishikawa_Prefecture_Hokuriku_Chubu.html | ホテル日航金沢 | 2,309件の口コミ | 3位:金沢市のホテルで135軒中 | 〒920-0853 石川県 金沢市 本町2-15-1 | 4.5 | 95 |
tripadvisor-jp-hotel-details-scraper.csvColumn
web_page_url
The final Tripadvisor hotel detail URL with hash fragments removed.
Column
hotel_name
Hotel name from H1, metadata, structured data, or bundled fallback.
Column
review_count
Visible Japanese review-count text when available.
Column
ranking
Tripadvisor ranking text for the city or property type.
Column
location
Postal address from visible text or JSON-LD.
Column
phone_number
Japanese phone number pattern or structured telephone field.
Column
facilities
Facilities and amenities joined into one slash-separated field.
Column
room_features
Room feature labels such as air conditioning, desk, minibar, or bath.
Column
star_rating
Overall rating value from structured data or sample fallback.
Column
image_1
Open Graph image, Twitter image, or first Tripadvisor CDN image URL.
Tripadvisor hotel pages may be publicly visible, but automated extraction can still be limited by Tripadvisor terms, robots directives, copyright, privacy law, and 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
Keep these constraints visible
Long or repeated hotel-detail runs can trigger challenges
Keep batches modest, preserve waits, avoid parallel loops against the same site, and pause when Tripadvisor repeatedly returns CAPTCHA, 403, or incomplete content.
Tripadvisor pages change by locale and redesign
Blank facilities, ratings, addresses, or nearby counts usually mean the visible layout changed, a section did not render, or the browser received a limited content variant.
Public visibility is not reuse permission
Review Tripadvisor terms, robots directives, privacy obligations, and any contractual restrictions before collecting, storing, 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 Tripadvisor hotels into a structured local CSV.
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