This tutorial shows how to scrape Airbnb Japan reviews into CSV with the Airbnb Japan Reviews Scraper for CSV Export for UScraper. You will import the template, replace the sample Airbnb.jp URL, set the export path, validate rows, and troubleshoot empty exports.
Before you start
Prerequisites and scope
You need UScraper installed as a local desktop app, the Airbnb Japan review scraper template, and a short list of Airbnb.jp listing or /reviews URLs you are allowed to process. Start with one URL because review pages vary by locale, session state, consent prompts, and listing availability.
This tutorial is for supervised research exports from pages you can inspect in a browser. It does not cover login-only host dashboards, private guest data, CAPTCHA bypassing, booking flows, or attempts to override access controls. Before running automation, review Airbnb's Terms of Service, reviews policy, reviews help page, and robots.txt.
Technical access is not permission. Keep runs modest, document why you collected the reviews, and use approved API or partner routes when your project needs contractual data rights.
Workflow anatomy
What the Airbnb Japan review scraper does
The bundled JSON is the authoritative workflow definition. In plain English, the flow is:
Navigate -> Wait for Page Load -> Sleep -> handle consent
-> run review extraction JavaScript -> check .uscraper-review-row
-> Structured Export -> Loop Continue
The review extraction step is intentionally strict. It tries data available to the loaded page response, scans embedded JSON review objects, then falls back to modal and DOM review text. Rows are created only when the text passes review checks, so amenity descriptions, house rules, pricing copy, and diagnostics are not exported as reviews.
| Workflow block | Why it matters | What to check |
|---|---|---|
| Navigate | Holds Airbnb.jp room or review URLs | Replace the sample URL before a real run. |
| Consent JavaScript | Clicks common consent buttons | Watch the first run and handle prompts manually. |
| Review JavaScript | Normalizes review objects into hidden row markers | Confirm .uscraper-review-row exists before export. |
| Element Exists | Routes only successful pages to export | Empty pages move on without writing bad rows. |
| Structured Export | Writes strict review rows to CSV | Confirm file name, headers, append mode, and save folder. |
Runbook
How to scrape Airbnb Japan reviews to CSV
Import the template
Open Airbnb Japan Reviews Scraper for CSV Export, download the workflow JSON, and import it into UScraper.
Replace the sample URL
In the Navigate block, replace https://www.airbnb.jp/rooms/50633275/reviews with your approved Airbnb.jp room or review URLs.
Keep the waits
Leave the page-load wait, short sleeps, consent click, and 240-second review pass in place until your first URL exports clean rows.
Set the export folder
Structured Export writes airbnb_jp_review_details_scraper_strict.csv with headers and append mode. Change the save folder for each project.
Validate before scaling
Run one listing, compare the CSV against the visible page, then widen the Navigate list only after row quality is confirmed.
Append mode stacks every successful URL into one file. Use a dated filename or clear the old CSV before reruns.
Output
CSV columns and export shape
The template exports review-level rows, not listing cards. There is no bundled CSV sample, so treat the JSON export and the column list below as the expected shape for your first dry run.
| CSV column | What it contains | QA tip |
|---|---|---|
review_id | Airbnb review ID when available, otherwise a generated stable ID | Use it for dedupe, but keep text checks too. |
submission_date | Localized review date text | Expect Japanese or English date formats depending on session. |
review | Cleaned guest review body | Reject rows that look like amenities, rules, or diagnostics. |
reviewer_name | Reviewer name when exposed | Spot-check against the visible review card. |
rating | Individual rating when available | Blank values can be valid on some Airbnb review views. |
listing_id | Room ID parsed from the URL or page | Useful for joining with listing exports. |
listing_url | Normalized Airbnb room URL | Open random links from the CSV during QA. |
source_url | Exact URL loaded by the workflow | Keep this for reruns and audit notes. |
extraction_method | airbnb_api_v2, embedded_json_object, or dom_fallback | Helps you see which path produced each row. |
airbnb_jp_review_details_scraper_strict.csvColumn
review_id
Native review ID when available, otherwise a generated stable identifier.
Column
submission_date
Localized date text returned by the page or visible review card.
Column
review
Guest review text after strict filters remove non-review page copy.
Column
reviewer_name
Reviewer name when exposed in the loaded page response.
Column
rating
Individual rating when Airbnb exposes it for that review.
Column
listing_id
Airbnb room ID parsed from the URL.
Column
listing_url
Normalized listing URL for joining with listing research.
Column
source_url
Exact page URL used during extraction.
Column
extraction_method
Extraction path used for audit and troubleshooting.
Validation
Validate Airbnb review rows before using the file
Open the CSV immediately after the first URL. Compare the first few rows with the browser, then sort by listing_id, reviewer_name, submission_date, and review_id to find duplicates or repeated test runs.
| Symptom | Likely cause | Fix |
|---|---|---|
| Zero rows exported | Reviews did not load, verification interrupted the run, or the URL has no accessible public reviews | Handle prompts, rerun one URL, and confirm review cards are visible. |
| Review text looks like house rules | Airbnb markup changed or the DOM fallback is too broad | Stop the batch and adjust review text filters before scaling. |
| Dates are mixed language | Locale or redirect changed during the run | Preserve the Airbnb.jp URL and document the browser language. |
| Blank ratings | Airbnb did not expose individual ratings for those reviews | Keep the row and treat rating as optional. |
| Duplicate rows | The same URL was supplied twice or a test run appended to the same CSV | Clear the file before reruns and dedupe by review ID plus review text. |
Alternatives
UScraper vs Airbnb review APIs and hosted tools
Searches for airbnb reviews api alternative, best Airbnb review scraper, or airbnb scraping tools comparison usually lead to no-code templates, hosted scraper actors, and code or API providers. Choose based on whether you need a spreadsheet, managed runtime, or contracted feed.
| Approach | Best fit | Trade-off |
|---|---|---|
| UScraper local template | Known Airbnb Japan URLs, analyst QA, repeatable CSV exports | You maintain the workflow when Airbnb changes layout. |
| Hosted scraper actor | Scheduled cloud jobs and managed runtime | Inputs, outputs, pricing, and retention depend on the vendor. |
| Review API provider | Programmatic ingestion and stable contracts | Usually requires API keys, usage costs, and provider terms. |
| Custom Python scraper | Full engineering control | Requires maintenance, monitoring, parsing, and anti-bot handling. |
UScraper is strongest when an analyst wants to see the page, verify rows, and keep the CSV in a project folder. For commercial products, analytics pipelines, or redistribution, evaluate formal API access and legal review early.
FAQ
Airbnb Japan review scraping FAQ
Legality depends on jurisdiction, permission, data type, access method, volume, and use case. Review Airbnb's Terms of Service, review policies, robots directives, and privacy rules before automating. Avoid access-control bypassing, login-only data, and personal data misuse.
Next step
Download the Airbnb Japan review scraper template
Download the JSON from Airbnb Japan Reviews Scraper for CSV Export, import it into UScraper, and keep this tutorial open while you run the first validation pass. For adjacent workflows, browse the UScraper template library or the UScraper blog.