Naver Place Reviews Scraper | $0.50 / 1K (네이버 플레이스 방문자·블로그 리뷰 수집)

Extract receipt-verified Naver Place Visitor Reviews (방문자 리뷰), star ratings, customer-selected sentiment keywords (votedKeywords), owner replies (사장님 답글), visit dates, verification methods (영수증 / 결제내역 / 예약), uncropped HD review photos, and linked Naver Blog & Cafe Reviews (블로그 리뷰) by Place URL, Place ID, or search keyword.

🇰🇷 한국어 요약 (Korean Overview): 네이버 플레이스(Naver Place) 매장 링크(map.naver.com, m.place.naver.com), 플레이스 ID, 또는 검색어(강남 맛집, 성수동 카페, 강남 피부과)를 입력하여 방문자 영수증 리뷰 본문, 별점, 방문일, 재방문 횟수, 방문자 선택 키워드("음식이 맛있어요", "친절해요"), 사장님 답글, 원본 고화질 리뷰 사진, 연동된 네이버 블로그·카페 리뷰를 1,000건당 $0.50~의 초저가로 수집합니다. 서버 사이드 **사진 리뷰 전용 필터링(onlyPhotoReviews)**을 지원하며 Excel, CSV, JSON으로 즉시 내보낼 수 있습니다.

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Why Choose This Naver Place Reviews Scraper?

• Lowest Price on Apify Store (From $0.50 / 1,000 Reviews): Collect up to 5,000 visitor reviews and 500 blog reviews per business starting at $0.0005 per review (Gold+ tier; $0.80/1K on Free tier) with zero extra charges for photos or parent place metadata.
• Both Visitor Reviews (방문자 리뷰) & Blog Reviews (블로그 리뷰): Captures verified in-store customer reviews alongside long-form Naver Blog and Cafe review posts in one unified flat schema.
• 100% Server-Side Photo Review Filtering (onlyPhotoReviews): Filter directly on Naver's review server (isPhotoUsed) to pull exclusively reviews containing customer-uploaded photos without wasting quota on text-only reviews.
• Rich Consumer Sentiment & Verification Metadata: Extracts votedKeywords (e.g., "음식이 맛있어요", "재료가 신선해요"), verificationMethod (영수증, 결제내역, 네이버페이), visitCount (repeat visitor tracking), bookingItemName, and ownerReplyText (사장님 답글).
• 100% Working Permanent HD Review Photos: Automatically strips low-resolution thumbnail crop parameters from pstatic.net CDN links to deliver full-resolution original review images.
• Clean Flat Schema for Excel, CSV & AI / LLM Pipelines: Every review row is flattened with parent business context (placeId, placeName, placeCategory, placeAddress, placeRating) for instant export to Excel, Google Sheets, Pandas, or Apify MCP Server.

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What Review Data Can You Extract?

Category	Extracted Fields
Review Content & Rating	reviewId, reviewType (visitor or blog), rating, title (for blog posts), text, createdAt, visitedAt, reviewUrl
Verification & Sentiment	verificationMethod (영수증, 결제내역, 예약, Blog), visitCount, viewCount, bookingItemName, votedKeywords, votedKeywordsText
Owner Reply (사장님 답글)	ownerReplyText, ownerReplyCreatedAt
HD Review Media	hasPhotos, photoCount, mainPhotoUrl, photoUrls (full-resolution uncropped URLs)
Reviewer Profile	authorId, authorNickname, authorProfileUrl, authorImageUrl, authorTotalReviews
Parent Business Context	placeId, placeName, placeCategory, businessCategory, placeAddress, placeRating, placeUrl, searchQuery, scrapedAt

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Input Parameters

Parameter	Type	Default	Description
placeUrls	array	["https://map.naver.com/p/entry/place/2025884279"]	Direct Naver Map URLs (https://map.naver.com/p/entry/place/2025884279), Mobile Place URLs (https://m.place.naver.com/restaurant/2025884279/home), naver.me shortlinks, or numeric Place IDs (2025884279).
queries	array	[]	Optional search terms on Naver Map / Place (e.g., 강남 맛집, 성수동 카페, 강남 피부과). Automatically overrides the prefilled Place URL when provided.
maxItems	integer	20	Maximum total number of reviews to collect across the run (1–10000).
maxReviewsPerPlace	integer	20	Maximum visitor reviews (방문자 리뷰) to fetch per place (0–5000). Automatically scales up to maxItems when scraping direct Place URLs.
onlyPhotoReviews	boolean	false	Filter visitor reviews 100% server-side on Naver (isPhotoUsed) to only return reviews with customer-uploaded photos.
includeBlogReviews	boolean	true	Include linked Naver Blog & Cafe review posts (블로그 리뷰) for each place.
maxBlogReviewsPerPlace	integer	10	Maximum linked blog/cafe reviews to fetch per place (0–500).
mode	string	"reviews"	"reviews" (default — one dataset row per review) or "places" (one row per place with embedded reviews).
language	string	"ko"	"ko" (original Korean) or "en" (English localized category and address names).
resumptionToken	string	""	Continuation token from RESUMPTION_TOKEN in the Key-Value Store to resume multi-batch runs with 0 duplicate overlap.

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Input Examples

Example 1: Scrape Visitor & Blog Reviews from Specific Naver Place URLs or IDs

{
    "placeUrls": [
        "https://map.naver.com/p/entry/place/2025884279",
        "https://m.place.naver.com/restaurant/1707220837/home"
    ],
    "maxItems": 200,
    "maxReviewsPerPlace": 100,
    "includeBlogReviews": true,
    "onlyPhotoReviews": false
}

Example 2: Scrape Only Photo-Verified Visitor Reviews (onlyPhotoReviews: true)

{
    "placeUrls": [
        "2025884279"
    ],
    "onlyPhotoReviews": true,
    "includeBlogReviews": false,
    "maxItems": 150
}

Example 3: Search Businesses by Keyword & Collect Reviews Across Top Places

{
    "queries": [
        "성수동 카페",
        "강남 피부과"
    ],
    "maxItems": 100,
    "maxReviewsPerPlace": 25,
    "includeBlogReviews": true
}

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Output Sample (reviews Mode)

{
    "reviewId": "671a9b2c8f01e20001a4b912",
    "reviewType": "visitor",
    "placeId": "2025884279",
    "placeName": "서울 미식 다이닝 강남점",
    "placeCategory": "한식",
    "businessCategory": "restaurant",
    "placeAddress": "서울 강남구 테헤란로 100 1층",
    "placeRating": 4.97,
    "placeUrl": "https://map.naver.com/p/entry/place/2025884279",
    "rating": 5.0,
    "title": null,
    "text": "숙성회가 정말 두툼하고 신선해요! 소금김밥이랑 같이 먹으면 궁합이 최고입니다. 직원분들도 친절하셔서 다음 모임 때 또 방문할 예정이에요.",
    "createdAt": "10.24.토",
    "visitedAt": "10.24.토",
    "visitCount": 2,
    "viewCount": 48,
    "verificationMethod": "영수증",
    "bookingItemName": "네이버 예약",
    "votedKeywords": [
        "음식이 맛있어요",
        "재료가 신선해요",
        "친절해요",
        "매장이 넓어요"
    ],
    "votedKeywordsText": "음식이 맛있어요, 재료가 신선해요, 친절해요, 매장이 넓어요",
    "mainPhotoUrl": "https://pup-review-phinf.pstatic.net/example_review_photo_01.jpg",
    "photoUrls": [
        "https://pup-review-phinf.pstatic.net/example_review_photo_01.jpg",
        "https://pup-review-phinf.pstatic.net/example_review_photo_02.jpg"
    ],
    "photoCount": 2,
    "hasPhotos": true,
    "authorId": "user_4c9b",
    "authorNickname": "reviewer_4a9c",
    "authorProfileUrl": "https://m.place.naver.com/my/user_4c9b/review",
    "authorImageUrl": null,
    "authorTotalReviews": 84,
    "ownerReplyText": "소중한 영수증 리뷰와 멋진 사진 감사드립니다! 언제나 신선한 숙성회로 보답하겠습니다.",
    "ownerReplyCreatedAt": "10.25.일",
    "reviewUrl": "https://m.place.naver.com/place/2025884279/review/visitor",
    "searchQuery": null,
    "language": "ko",
    "scrapedAt": "2026-10-28T12:00:00.000000+00:00"
}

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Pricing (Pay-Per-Event)

This Actor uses transparent Pay-Per-Event (PPE) pricing with Apify Compute and Proxy usage included:

Event Name	Event ID	No Discount (Free)	Bronze Discount	Silver Discount	Gold+ Discount	Description
Actor Start	apify-actor-start	$0.00005	$0.00005	$0.00005	$0.00005	Charged once when the run starts.
Review Scraped	result-scraped	$0.80 / 1,000 ($0.0008)	$0.70 / 1,000 ($0.0007)	$0.60 / 1,000 ($0.0006)	$0.50 / 1,000 ($0.0005)	Charged per valid Naver Place visitor review or linked blog review pushed to the dataset.

• $0.00 for Missing Targets or Empty Searches: Non-existent Place IDs, zero-result queries, and input validation errors are never billed.
• Strict Maximum Cost Cap Support: Respects your Apify run budget limit (maxTotalChargeUsd) and stops cleanly the instant your cap is reached.

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Support & Feedback

Need custom fields, higher volume tips, or found an edge case? Open an issue directly in the Actor's Issues tab on the Apify Console and we will respond promptly.

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Legal & Compliance Disclaimer

This Actor extracts strictly publicly available review and place data from public Naver Map and Naver Place listings for consumer sentiment research, market intelligence, and policy-compliant review auditing. It does not log in, bypass authentication walls, or collect private user account details. Users are responsible for ensuring that their data collection and processing comply with all applicable laws, privacy regulations, and platform terms of service. See Apify's guide on the legality of web scraping for more information.

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by NAVER Corp. or any of its subsidiaries.