Naver Place Reviews Scraper ($0.50/1K) 네이버 플레이스 리뷰
Fast & Cheap ($0.50/1k): Naver Place reviews scraper & Naver Map reviews scraper (네이버 플레이스 방문자·블로그 리뷰). Extract visitor & blog reviews, star ratings, owner replies, receipt-verified tags & HD photos.
{
"reviewId": "670000000000000000000001",
"reviewType": "visitor",
"placeId": "2000000001",
"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/2000000001",
"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"
],
"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/2000000001/review/visitor",
"searchQuery": null,
"language": "ko",
"scrapedAt": "2026-10-28T12:00:00.000000+00:00"
}
Features
What the Naver Place Reviews Scraper ($0.50/1K) 네이버 플레이스 리뷰 Extracts
Lowest Price on Apify Store
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 & Blog Reviews
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
Filter directly on Naver's review server (isPhotoUsed) to pull exclusively reviews containing customer-uploaded photos without wasting quota on text-only reviews.
$0.00 for Missing Targets or Empty Searches
Non-existent Place IDs, zero-result queries, and input validation errors are never billed.
Integration
Run It From Python or n8n
from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run_input = {
"placeUrls": ["https://map.naver.com/p/entry/place/2000000001"],
"maxItems": 20,
"maxReviewsPerPlace": 20,
"onlyPhotoReviews": False,
"includeBlogReviews": True,
"maxBlogReviewsPerPlace": 10
}
run = client.actor("unitbytes/naver-place-reviews-scraper").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item.get("placeName"), item.get("bookingItemName"), item.get("authorNickname"))n8n Workflow Template
Schedule this scraper and send results to Google Sheets, Airtable, or Slack.
FAQ
Frequently Asked Questions
Q: Do I need my own proxies or account login for naver-place-reviews-scraper?
No. UnitBytes manages residential proxy rotation and automated request orchestration so you never need personal accounts or proxies.
Q: What output formats are supported?
All data can be downloaded in JSON, CSV, or Excel formats, or consumed directly via the Apify REST API and webhooks.
Q: How does pricing work?
You only pay for successful records extracted under Apify Pay-Per-Event pricing, with zero monthly minimums or idle compute costs.
Q: Can this actor be integrated into automated workflows?
Yes. You can trigger runs via Apify API, Python/JavaScript clients, Make, Zapier, or scheduled cron workflows.
How to Scrape Naver Map & Naver Place (2026): South Korea Business Leads, Menus & Visitor Reviews Guide ($0.50–$1.00/1K)
Step-by-step guide with pricing and Python examples.
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Prefer Not to Run It Yourself?
Tell us what you need from Naver Place Reviews Scraper ($0.50/1K) 네이버 플레이스 리뷰 and we'll deliver a clean Excel/CSV file. One-time datasets from $99, custom scrapers from $299. We reply within 48 hours.