Local SEO teams
Location audits
Favorable to scraping
Export Naver Map reviews for owned branches, then compare review volume, visitor phrases, ratings, and recent visit signals across locations.
Reviews & ratings$50Free
Naver Map Review Scraper for CSV Export
This Naver Map review scraper exports visitor reviews from Naver Map and Naver Place store URLs into a structured CSV for reputation research, location audits, and Korean market analysis. Import the workflow into the UScraper local desktop app, add direct visitor-review URLs, and collect reviewer signals, review text, visit details, images, and source URLs without building a crawler from scratch.
Output
CSV
Fields
17
Inputs
Store URLs
Scroll pass
Up to 55
Template
Free
At a glance
Export Naver Map reviews by place URL
Use this template when you already know the Naver Place pages you want to inspect. The sample workflow starts with a restaurant visitor-review URL, but the Navigate block accepts more direct Naver Place review URLs for batch collection across branches, competitors, agencies, or research lists.
The automation path is deliberately simple: Set Window Size → Navigate → waits → scroll and expand loop → hidden structured rows → Structured Export → Loop Continue. The injected review collector looks for visible review cards and embedded review-like data, then creates hidden rows that Structured Export can read reliably. That keeps the CSV mapping stable even when the visible page contains mixed Korean labels, photo blocks, visit badges, and expanded text.
Review rows with place context
Export store name, category, overall rating, visitor-review counts, reviewer signals, review content, good-point phrases, visit dates, verification text, and source URLs.
Multi-store batches
Add more visitor-review URLs to the Navigate block and let the loop append each store's rows into one local CSV.
Local desktop execution
The bundled workflow writes to your configured local folder and does not route the CSV through a hosted scraping actor.
Built-in diagnostics
When no review row is detected because of CAPTCHA, login prompts, blocking, or markup drift, the export includes a diagnostic content value for troubleshooting.
Who this is for
Naver Place review data use cases
Market researchers
Competitor review scans
Favorable to scraping
Collect comparable review rows from selected restaurants, clinics, salons, hotels, or shops before coding themes in a spreadsheet.
Agencies
Korean reputation reports
Nuanced outcome
Build auditable exports for client analysis while keeping quote reuse, personal data handling, and Naver policy review separate from collection.
For a broader Korean local-data workflow, pair this review template with the Naver Map Scraper by Keyword, Kakao Map Shop List Scraper, and Naver Search Scraper. Browse the UScraper template library when you need follow-up enrichment or search monitoring.
How to use
Configure the Naver Place scraper workflow
2
Add review URLs
Replace the sample Naver Place visitor-review URL in the Navigate block with the store pages you want to collect. Use direct mobile review URLs when possible.
3
Confirm the save folder
Structured Export writes naver-map-review-scraper.csv with headers enabled and append mode on. Change the local save location before client or campaign runs.
4
Run the scroll loop
UScraper loads each page, waits for body, pauses briefly, clicks Korean and English more controls, scrolls through available reviews, and prepares structured rows.
5
Open and audit the CSV
Spot-check row counts, Korean text encoding, diagnostic rows, missing dates, image links, and source URLs before using the file in reporting or analysis.
Output preview
CSV columns produced by the template
The export keeps one row per detected review. Store-level fields repeat on every row so combined multi-store files remain easy to filter, group, and join later.
| 가게이름 | 카테고리 | 전체평점 | 리뷰작성자 | 리뷰내용 | 이런_점이_좋아요 | 방문시간 | source_url |
|---|---|---|---|---|---|---|---|
| 왕거미식당 | 한식 | 4.5 | min*** | Spicy stew was rich and the staff helped quickly. | 음식이 맛있어요 | 친절해요 | 2026년 5월 14일 | https://m.place.naver.com/restaurant/20601144/review/visitor?entry=plt |
| 왕거미식당 | 한식 | 4.5 | foodlog | Good lunch portion and easy to find from the main street. | 양이 많아요 | 가성비가 좋아요 | 2026년 5월 02일 | https://m.place.naver.com/restaurant/20601144/review/visitor?entry=plt |
| 왕거미식당 | 한식 | 4.5 | possible_block_or_login_required | https://m.place.naver.com/restaurant/20601144/review/visitor?entry=plt |
naver-map-review-scraper.csvColumn
가게이름
Store name detected from the page heading, title, or metadata.
Column
전체평점
Visible place rating where Naver exposes it to the current session.
Column
리뷰작성자
Reviewer nickname or profile text when visible.
Column
첨부이미지
Review image URL when the review card exposes a photo.
Column
리뷰내용
Cleaned review text or diagnostic fallback value.
Column
방문시간
Korean visit date text when present in the card.
Column
방문인증
Receipt, reservation, order, or other visible visit-verification signal.
Column
source_url
The Naver Place visitor-review URL used for this row.
Headers included - each configured Naver Place visitor-review URL appends into one file
Comparison
Local Naver review export vs APIs and hosted actors
| Option | Good fit | Trade-off |
|---|---|---|
| UScraper Naver Map review template | No-code users who need selected Naver reviews to CSV from a local desktop app | Best for controlled research batches, not unattended high-volume crawling |
| Official Naver APIs | Teams with sanctioned API access and developer support | Local Search APIs do not necessarily provide every public visitor-review field shown in Naver Place |
| Hosted scraping actors | Teams that want vendor-managed infrastructure | Store URLs and exported reviews pass through a third party and may bill by request, actor run, or dataset row |
Frequently asked questions
Naver Map reviews can include personal data, copyrighted text, photos, and platform-protected content. Automated collection may be restricted by Naver terms, robots rules, privacy law, and local regulations. Keep batches narrow, avoid bypassing CAPTCHA or access controls, and get legal review before resale, publication, monitoring, or AI training use.
Before you run
Practical limits and maintenance notes
Naver can slow, challenge, or restrict browsing sessions. Keep batches modest, avoid parallel runs against the same target, and pause if diagnostic rows show possible_block_or_login_required.
Download the free template, install the local desktop app from UScraper download, and use this workflow whenever you need to export Naver Map reviews 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
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