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Tripadvisor Hotel Details Scraper for Japan CSV Export logo

Tripadvisor Hotel Details Scraper for Japan CSV Export

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.

Output

CSV

Fields

18

Market

Japan

Input

Hotel URLs

Template

Free

At a glance

Export Tripadvisor hotel details for Japan

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

Use cases for Tripadvisor Japan hotel data

Hotel revenue teams

Comp-set checks

Favorable to scraping

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

Favorable to scraping

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

Nuanced outcome

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

Configure the Tripadvisor hotel detail scraper

1

Download and import

Download the hosted JSON template and import it into UScraper.

2

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.

3

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.

4

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.

5

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

CSV fields produced by this Tripadvisor hotels CSV workflow

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_urlhotel_namereview_countrankinglocationstar_ratingwalkability
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1-14.5100
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2-15-14.595
tripadvisor-jp-hotel-details-scraper.csv
CSV - UTF-8 - Append

Column

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.

Headers included - each configured Hotel_Review URL appends one detail 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 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-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.

Selector drift

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.

Compliance

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.

Get Started

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What's Included

  • Template JSON file ready to import
  • Pre-configured scraping nodes
  • Works with UScraper desktop app

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UScraper templates are open source. Improve this workflow or contribute a new one to help the community grow.

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