Hotel operators
Guest feedback audits
Pull review text, ratings, room labels, and companion context into a CSV before tagging cleanliness, service, location, and amenity themes.
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This Yanolja review scraper exports Yanolja/NOL accommodation reviews from a lodging URL into a structured CSV. Import the workflow into the UScraper local desktop app to collect lodging metadata, ratings, reviewer IDs, dates, room labels, companion types, review text, and photo URLs without writing scraper code.
CSV
12
180s max
Lodging URL
Free
At a glance
The workflow is built for review research where the starting point is a specific Yanolja or NOL lodging page. It first navigates to the accommodation URL and waits for the page title or JSON-LD metadata. A short JavaScript step stores the original URL, place ID, lodging name, address, overall rating, and review count when those fields are available.
UScraper then navigates to the dedicated NOL review URL for that place ID. The review step scrolls the page, clicks visible review load-more controls, watches for lazy-loaded text and photo changes, and stops after the content stays stable. The final Structured Export block reads generated review rows and writes the selected fields to a local CSV.
Review data for spreadsheets
Export one row per captured review with lodging context, reviewer ID, star rating, room, companion type, review body, and photo URLs.
Dynamic review loading handled
The template includes waits, scrolling, load-more clicks, and a stability check before export so you do not have to rebuild the page interaction flow.
Local desktop execution
The stock workflow writes the CSV on your machine. It does not add a cloud upload, shared database, or third-party review dashboard.
Editable no-code workflow
Change the lodging URL, export folder, waits, or Structured Export fields directly in UScraper when Yanolja page behavior changes.
Who this is for
Hotel operators
Guest feedback audits
Pull review text, ratings, room labels, and companion context into a CSV before tagging cleanliness, service, location, and amenity themes.
Travel researchers
Korean lodging analysis
Build a repeatable sample of Yanolja accommodation review data for sentiment checks, regional comparisons, or market monitoring.
Agencies
Reputation reporting
Export Yanolja reviews for approved client properties and keep a reviewable CSV trail beside campaign notes and competitor snapshots.
For adjacent travel workflows, compare this scraper with the Yeogi hotel review scraper, TripAdvisor hotel review scraper, and Airbnb room scraper. You can also browse the full UScraper template library or install the desktop app from UScraper download.
How to use
Set the lodging URL
Open the first Navigate block and replace the sample Yanolja place URL with the accommodation page you are allowed to research.
Confirm the review URL
The second Navigate block points to the NOL review route for the same place ID. Keep the ID aligned with the lodging URL before running.
Review waits and loading
The workflow waits for page load, sleeps briefly, scrolls, clicks review load-more controls, and stops when text and photo counts stabilize.
Export and inspect
Structured Export writes yanolja_accommodation_review.csv with headers. Open the CSV and spot-check dates, text, ratings, and photo URLs before scaling.
Output preview
The bundle did not include a separate sample CSV, so the preview below mirrors the actual Structured Export columns in the workflow JSON. Korean column names are preserved because they are the configured export headers.
| 링크 | 숙박업체 | 숙소_평점 | 후기_수 | 아이디 | 별점 | 후기_날짜 | 입주_객실 | 동행_유형 | 후기_사진_url |
|---|---|---|---|---|---|---|---|---|---|
| https://place-site.yanolja.com/places/10061283 | Gangneung Stay Sample | 4.8 | 245 | travel_92 | 5.0 | 2025.10.17 | Deluxe ocean room | 가족 | https://yaimg.yanolja.com/sample-photo-1.jpg |
| https://place-site.yanolja.com/places/10061283 | Gangneung Stay Sample | 4.8 | 245 | guest_kim | 4.0 | 2025.10.12 | Standard room | 연인 | https://yaimg.yanolja.com/sample-photo-2.jpg |
yanolja_accommodation_review.csvColumn
링크
Original lodging URL stored from the accommodation page.
Column
숙박업체
Lodging or accommodation name from JSON-LD or the page title.
Column
주소
Address when exposed by the page metadata.
Column
숙소_평점
Overall lodging rating captured before opening the review route.
Column
후기_수
Displayed review count when available.
Column
아이디
Reviewer display ID parsed from the review block.
Column
별점
Review-level star rating.
Column
후기_날짜
Review date in the format shown by Yanolja.
Column
입주_객실
Room or room-type label when present.
Column
동행_유형
Companion type such as family, couple, friends, solo, or business when visible.
Column
후기
Cleaned multiline review text.
Column
후기_사진_url
One or more Yanolja image URLs separated by line breaks.
Sample rows
1 of many
| 링크 | 숙박업체 | 주소 | 숙소_평점 | 후기_수 | 아이디 | 별점 | 후기_날짜 | 입주_객실 | 동행_유형 | 후기 | 후기_사진_url |
|---|---|---|---|---|---|---|---|---|---|---|---|
| place-site lodging URL | Gangneung Stay Sample | Gangwon-do sample address | 4.8 | 245 | travel_92 | 5.0 | 2025.10.17 | Deluxe ocean room | Family | Clean room, smooth check-in, and good access to nearby restaurants. | yaimg.yanolja.com image URL |
Comparison
| Option | Good fit | Trade-off |
|---|---|---|
| UScraper Yanolja template | No-code teams that need a local CSV export from approved lodging URLs | Best for controlled review batches, not unattended high-volume crawling |
| Hosted scraper platforms | Teams that want managed infrastructure and proxy handling | Review URLs and extracted data pass through a vendor environment |
| Custom code | Engineering teams that need a fully maintained internal pipeline | Requires selector maintenance, testing, scheduling, and compliance review |
Yanolja and NOL review pages can contain publicly visible content, but automated collection may still be limited by platform terms, robots rules, copyright, privacy law, and local consumer-data rules. Use the template only for approved research, keep request volume modest, do not bypass login, CAPTCHA, or access controls, and get legal review before republishing review text or building commercial datasets.
Before you run
Keep these Yanolja scraping constraints visible
Repeated scrolling can trigger friction
Use small batches, avoid parallel runs, and increase waits if review content loads slowly. Stop when Yanolja presents a manual verification step.
Dynamic review markup can change
Missing reviewer IDs, dates, rooms, or photo URLs usually mean the page structure changed, metadata was hidden, or the generated row logic needs maintenance.
Review text can contain personal data
Minimize retention, redact identifiers when appropriate, and avoid redistributing full review text or photos unless your use case has a documented legal basis.
Download the template, import it into the local desktop app, and use it whenever you need to export Yanolja reviews into a structured CSV instead of copying accommodation feedback by hand.
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