Market researchers
Guest sentiment
Favorable to scraping
Collect public review text from selected Tokyo, Osaka, Kyoto, or regional Japan listings, then classify themes such as cleanliness, host communication, location, and check-in friction.
Travel & hotels$50Free
Airbnb Japan Reviews Scraper for CSV Export
This Airbnb Japan reviews scraper exports review details from Airbnb.jp listing or review URLs into a structured CSV. Import the workflow into the UScraper local desktop app, replace the sample room URL, and collect review ID, submission date, review text, reviewer name, rating, listing ID, listing URL, source URL, and extraction method without building a custom Airbnb review data extractor.
Output
CSV
Columns
9
Input
URLs
Review pass
240 sec max
Template
Free
At a glance
Export Airbnb Japan reviews from listing URLs
Use this template when you already have Airbnb Japan room links or direct review URLs and need a reviewable spreadsheet. It is a focused review-detail workflow, not a broad Airbnb rentals discovery crawler. If you need to build a room list first, start with the Airbnb Scraper by URL, Airbnb Room Details Scraper, or Airbnb Scraper by Keyword, then pass selected room URLs into this template.
The automation is intentionally inspectable: Navigate -> wait for page load -> consent handling -> review extraction pass -> row check -> Structured Export -> Loop Continue. The review pass first attempts Airbnb review API data available to the loaded session, then scans embedded JSON review objects, then falls back to modal and DOM review text with scrolling. Rows are only exported when they pass strict review checks, so amenity text, house rules, pricing copy, and diagnostics are not mixed into the review CSV.
Review details to CSV
Export reviewer names, localized dates, review text, listing IDs, source URLs, and the extraction method used for each row.
Built for URL batches
Replace the bundled Airbnb.jp sample URL with approved listing or review URLs and let append mode stack rows across the run.
Local desktop custody
The workflow runs in the desktop app and writes to your configured folder unless you add a separate upload, sync, or sharing step.
Strict review-only filter
The JavaScript pass rejects short boilerplate, amenity blocks, booking rules, and diagnostic text before Structured Export runs.
Who uses it
Airbnb review data extractor use cases
Revenue teams
Comp-set monitoring
Favorable to scraping
Compare recent review language beside price, rating, and availability exports from related Airbnb templates to understand why similar stays perform differently.
Agencies
Client research
Nuanced outcome
Build an auditable download Airbnb reviews workflow for approved listings, with source URLs and extraction method fields preserved for spot checks.
For adjacent travel datasets, pair this review workflow with Tripadvisor Hotel Reviews Scraper, Booking.com Reviews Scraper, and the full UScraper template library.
How to use
Configure the Airbnb reviews to CSV workflow
2
Replace the Airbnb.jp URLs
Open the Navigate block and replace the sample
/rooms/50633275/reviews URL with your approved Airbnb Japan
listing or review URLs.
3
Keep waits and review pass
Leave the page-load wait, consent click, short sleeps, and 240-second review extraction pass in place so dynamic review modals have time to render.
4
Confirm the export path
Structured Export writes
airbnb_jp_review_details_scraper_strict.csv with headers and
append mode. Change the save folder before client or market-specific runs.
5
Run and audit rows
Start with one listing, confirm that exported rows are real reviews, then expand the Navigate list for a larger export Airbnb reviews batch.
Navigate -> Wait for Page Load -> Sleep -> consent JavaScript -> review JavaScript -> Element Exists -> Structured Export -> Loop Continue.
The false branch skips export when no strict review rows are found.
Output preview
CSV columns produced by the Airbnb Japan review scraper
The export shape below mirrors the workflow definition. Sample rows are illustrative because Airbnb can vary review visibility, locale, individual ratings, and returned data by session.
| review_id | submission_date | review | reviewer_name | rating | listing_id | listing_url | source_url | extraction_method |
|---|---|---|---|---|---|---|---|---|
| 998871-example | 2026年5月 | Clean apartment near the station. The host replied quickly and the check-in notes were clear. | Haruka | 5 | 50633275 | https://www.airbnb.jp/rooms/50633275 | https://www.airbnb.jp/rooms/50633275/reviews | airbnb_api_v2 |
| generated-k3m2p | April 2026 | Great base for a Kyoto weekend. The room was quiet, compact, and close to the bus stop. | Daniel | 50633275 | https://www.airbnb.jp/rooms/50633275 | https://www.airbnb.jp/rooms/50633275/reviews | embedded_json_object | |
| dom-4129 | 2025年12月 | The location worked well for restaurants and trains. We would book again for a short stay. | Mina | 50633275 | https://www.airbnb.jp/rooms/50633275 | https://www.airbnb.jp/rooms/50633275/reviews | dom_fallback |
airbnb_jp_review_details_scraper_strict.csvColumn
review_id
Airbnb review ID when available, otherwise a generated stable ID from listing, reviewer, date, text, and method.
Column
submission_date
Localized review date such as 2026年5月 or April 2026.
Column
review
Cleaned guest review text after amenity, policy, and diagnostic filters.
Column
reviewer_name
Reviewer or author name when the page response exposes it.
Column
rating
Individual rating when available; Airbnb review pages may leave this blank.
Column
listing_id
Room ID parsed from the Airbnb URL or page links.
Column
listing_url
Normalized room URL for the listing being reviewed.
Column
source_url
Exact URL loaded by the workflow during extraction.
Column
extraction_method
airbnb_api_v2, embedded_json_object, or dom_fallback for auditability.
Headers included - strict review rows append from each supplied Airbnb.jp URL
Comparison
Local review scraper vs cloud Airbnb actors
UScraper template
Local CSVHosted actor
Cloud runCustody
Runs in the desktop app
URLs and CSV rows stay in your local workflow unless you add sharing.
Runs on vendor infrastructure
Inputs and extracted reviews pass through a third-party platform.
Billing
Free template import
Best for controlled batches and repeatable spreadsheet exports.
Usage-based execution
Often bills by request, runtime, proxy usage, or dataset row.
Target
Known Japan listing URLs
Designed for Airbnb.jp room or review links you already approved.
Broad scraping platform
Useful when you need managed proxy scale, APIs, scheduling, and monitoring.
Frequently asked questions
Airbnb reviews may be publicly visible, but automated collection can still be restricted by Airbnb Terms of Service, robots directives, anti-automation controls, privacy law, copyright, and local short-term rental rules. Keep runs modest, avoid bypassing access controls, and get legal review before commercial use.
Before you run
Practical limits and maintenance notes
Keep these constraints visible
Rate limits
High-frequency runs can trigger friction
Keep batches modest, avoid parallel runs, and pause if Airbnb shows verification, blocked access, or repeated empty pages. Longer waits are usually better than forcing faster loops.
Layout drift
Review sources can change
The template checks API responses, embedded JSON, and DOM/modal text, but Airbnb redesigns can still require selector or JavaScript maintenance.
Compliance
Review platform and local rules
Respect Airbnb policies, robots directives, privacy obligations, copyright limits, and local short-term rental regulations before publishing or reselling review datasets.
Download the free template, install the desktop client from UScraper download, and use this workflow whenever you need to export Airbnb reviews from selected Japan listings 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
Open-source templates
UScraper templates are open source. Improve this workflow or contribute a new one to help the community grow.
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