Naver Place Reviews Scraper

Extract visitor reviews and blog reviews from Naver Place — Korea's #1 local business platform. Cursor-based pagination with no server-side limit on visitor reviews.

Features

• Visitor reviews: cursor-based pagination, 50 per page, no upper limit on total reviews
• Blog reviews: offset-based pagination, ~100 items per place (server-side cap)
• TLS fingerprinting: curl_cffi with Chrome impersonation — bypasses bot detection
• Structured output: voted keywords, visit counts, owner replies, star distribution
• Two input modes: direct Place URL/ID or keyword search

What you get

Visitor review fields

Field	Description
reviewText	Full review body (Korean)
reviewRating	1-5 stars
reviewerName	Author nickname + profile URL + total review count
reviewDate	Review creation date (YYYY-MM-DD)
visitDate	Actual visit date
visitCount	"2번째 방문" (2nd visit)
votedKeywords	"음식이 맛있어요", "분위기가 좋아요", etc.
reviewPhotos	Photo URLs (optional)
reviewReplyText	Business owner's response

Blog review fields

Field	Description
blogTitle	Blog post title
blogContents	Post excerpt/contents
blogUrl	Link to full blog post
bloggerName	Blogger name
blogDate	Post date

Aggregated statistics

When includeReviewStats is enabled (default), one stats row per place — at no extra cost, it is a single dataset item:

Field	Covers	Description
totalVisitorReviews, averageRating	whole place	Review count and average star rating
placeRatingDistribution	whole place	Star histogram, e.g. {"4.5": 68, "5": 364}
placeThemes	whole place	What reviews talk about, e.g. {"맛": 782, "만족도": 615, "분위기": 184}
placeTopMenus	whole place	Most-mentioned menu items, e.g. {"타코": 374, "퀘사디아": 107}
placeKeywordDistribution	whole place	Voted keywords ("음식이 맛있어요" …) with vote counts
ratingDistribution, keywordDistribution	this run's reviews	The same two histograms over just the reviews you scraped
scrapedVisitorReviews, scrapedBlogReviews	this run	How many rows this run collected

All histograms are ordered highest count first (stars ascending). Verticals Naver does not rate or tag — clinics, hospitals — return {}; null means Naver's statistics could not be fetched on this run.

Input options

Option 1: Direct Place URLs or IDs

{
    "placeUrls": [
        "https://map.naver.com/v5/entry/place/37234567",
        "37234567"
    ],
    "maxReviewPages": 3
}

Option 2: Search by keyword

{
    "searchKeywords": ["강남 맛집", "Seoul BBQ"],
    "maxPlacesPerKeyword": 5,
    "maxReviewPages": 1
}

Full input example

{
    "placeUrls": ["37234567"],
    "maxReviewPages": 10,
    "reviewSort": "NEWEST",
    "includeBlogReviews": true,
    "maxBlogReviewPages": 10,
    "includeReviewPhotos": false,
    "includeReviewStats": true
}

Pagination guide

maxReviewPages	Reviews collected
1	~50
3	~150
10	~500
50	~2,500
100	~5,000

Output format

Visitor review

{
    "reviewType": "visitor",
    "placeId": "37234567",
    "placeName": "맛있는 식당",
    "placeCategory": "음식점",
    "placeAddress": "서울특별시 강남구 ...",
    "placeRating": 4.52,
    "placeTotalReviews": 3162,
    "placeUrl": "https://pcmap.place.naver.com/place/37234567",
    "reviewId": "abc123",
    "reviewText": "정말 맛있었어요! 분위기도 좋고 서비스도 훌륭합니다.",
    "reviewRating": 5,
    "reviewerName": "맛집탐험가",
    "reviewerProfileUrl": "https://m.place.naver.com/my/...",
    "reviewerReviewCount": 42,
    "reviewDate": "2026-05-15",
    "visitDate": "2026-05-10",
    "visitCount": "2번째 방문",
    "votedKeywords": ["음식이 맛있어요", "분위기가 좋아요"],
    "reviewPhotos": null,
    "reviewReplyText": "감사합니다! 또 방문해주세요.",
    "reviewReplyDate": "2026-05-16",
    "searchKeyword": null,
    "language": "ko",
    "scrapedAt": "2026-05-17T12:00:00.000Z"
}

Blog review

{
    "reviewType": "blog",
    "placeId": "37234567",
    "placeName": "맛있는 식당",
    "blogTitle": "강남 맛집 탐방기",
    "blogContents": "오늘은 강남에 위치한...",
    "blogUrl": "https://blog.naver.com/...",
    "bloggerName": "맛집블로거",
    "bloggerHome": "https://blog.naver.com/blogger123",
    "blogDate": "2026-05-10",
    "blogThumbnailUrl": "https://...",
    "isRepresentative": false,
    "scrapedAt": "2026-05-17T12:00:00.000Z"
}

Technical details

• HTTP client: curl_cffi with TLS fingerprinting (impersonate="chrome")
• Visitor review pagination: cursor-based via after parameter (not page-based)
• Blog review pagination: offset-based (page + display=10)
• Rate limiting: automatic retry with exponential backoff on HTTP 429
• Deduplication: reviewId-based dedup for visitor reviews, id-based for blog reviews

Use cases

• Korean market entry research — what do locals say about competitors?
• Restaurant/cafe competitive intelligence
• Customer sentiment analysis (NLP-ready structured data)
• Brand reputation monitoring in Korea
• Academic research on Korean consumer behavior

Korea Data Suite by huggable_quote

Actor	Description
Naver Map	Business listings & details
Naver Blog	Blog posts & content
Naver Shopping	Product data & prices
Naver News	News articles & headlines
Naver Place Reviews	This actor
KRX Stock	Korean stock market data