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Naver Place Scraper & Naver Map ($1/1K) 네이버 플레이스·지도

Fast & Cheap ($1.00/1k): Naver Place scraper & Naver Map scraper (네이버 플레이스·지도) for Korean business leads, phones, hours & KRW menus. Extracts road addresses, GPS coordinates, visitor reviews & blog reviews.

45+ Korean Business FieldsFull Menus & KRW PricesReceipt-Verified ReviewsRoad & Lot Addresses + GPS
Pricing: $0.0014 / item
•
Export: CSV / Excel / JSON / API
•
n8n Workflow JSON →
sample_output.json
{
  "placeId": "2000000001",
  "name": "강남 시그니처 다이닝",
  "businessCategory": "restaurant",
  "category": "한식",
  "categoryCode": "220053",
  "phone": "0507-0000-0000",
  "virtualPhone": "0507-0000-0000",
  "roadAddress": "서울 강남구 테헤란로 100 1층",
  "address": "서울 강남구 역삼동 100-1",
  "commonAddress": "서울 강남구 역삼동",
  "fullAddress": "서울 강남구 테헤란로 100 1층",
  "postalCode": "09680108",
  "latitude": 37.5206335,
  "longitude": 127.0361667,
  "distance": "2.6km",
  "directions": "역삼역 3번 출구에서 테헤란로 방향으로 도보 3분 거리 (시그니처타워 1층)",
  "nearestSubway": "역삼역 2호선",
  "parkingInfo": "2시간 4000원 (발렛파킹 가능)",
  "businessStatus": "영업 중",
  "businessHoursText": "02:00에 영업 종료",
  "businessHours": [
    {
      "day": "월",
      "start": "11:00",
      "end": "02:00"
    }
  ],
  "rating": 4.97,
  "visitorReviewCount": 177,
  "blogCafeReviewCount": 37,
  "bookingReviewCount": 0,
  "imageReviewCount": 143,
  "popularMenusText": "소금김밥, 대물 숙성회 정식(광어), 1% 대광어 숙성회",
  "menuCount": 6,
  "menus": [
    {
      "name": "1% 대광어 숙성회",
      "priceText": "56,000원",
      "priceKrw": 56000,
      "description": "중 56000 / 대 78000",
      "isRecommended": true,
      "imageUrl": "https://ldb-phinf.pstatic.net/example_place_photo_01.jpg"
    }
  ],
  "topVotedKeywords": [
    {
      "code": "food_good",
      "keyword": "음식이 맛있어요",
      "count": 165
    },
    {
      "code": "fresh",
      "keyword": "재료가 신선해요",
      "count": 121
    }
  ],
  "conveniences": [
    "포장",
    "단체 이용 가능",
    "예약"
  ],
  "paymentMethods": [
    "간편결제"
  ],
  "hasBooking": true,
  "homepageUrl": "https://map.naver.com/p/entry/place/2000000001",
  "instagramUrl": null,
  "allLinks": [
    "https://map.naver.com/p/entry/place/2000000001"
  ],
  "microReview": "한 점 한 점 정성 가득한 숙성회",
  "mainImage": "https://ldb-phinf.pstatic.net/example_place_photo_01.jpg",
  "imageCount": 57,
  "url": "https://map.naver.com/p/entry/place/2000000001",
  "mapUrl": "https://m.place.naver.com/restaurant/2000000001/home",
  "searchQuery": "강남 맛집",
  "detailLevel": "full",
  "language": "ko",
  "scrapedAt": "2026-10-24T16:30:00.000000+00:00"
}
Naver Place Scraper & Naver Map ($1/1K) 네이버 플레이스·지도 - UnitBytes

Features

What the Naver Place Scraper & Naver Map ($1/1K) 네이버 플레이스·지도 Extracts

01

Complete 45+ Field Korean Business Profiles

Extracts Korean business names, categories, phone and SmartCall (0507) numbers, road (도로명) and lot (지번) addresses, postal codes, WGS84 GPS coordinates, 7-day hours, Naver Booking, and Instagram links.

02

Full Menus, KRW Prices & POS Insights

Captures every menu item with KRW price, menu description, recommended badges, high-resolution menu photos, popular dishes, average customer spend, and average stay time.

03

Verified Visitor Reviews & Naver Blog Reviews

Collects receipt-verified visitor reviews (방문자 리뷰), photo-only review filtering (onlyPhotoReviews), customer sentiment keyword votes (topVotedKeywords), owner replies, and linked Naver Blog reviews.

04

All-in-One Pricing & $0.00 Empty Search Protection

Pay a single transparent rate from $2.80/1,000 results with menus, hours, and reviews included at no extra add-on fee, and $0.00 charged for missing Place IDs or empty searches.

Integration

Run It From Python or n8n

Python SDK • pip install apify-client
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run_input = {
    "queries": ["강남 맛집"],
    "maxItems": 10,
    "mode": "places",
    "scrapeDetails": True,
    "maxReviewsPerPlace": 10,
    "includeBlogReviews": True
}

run = client.actor("unitbytes/naver-place-scraper").call(run_input=run_input)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item.get("name"), item.get("searchQuery"), item.get("rating"))
⚡ n8n Automation Blueprint All 54 n8n Templates →

n8n Workflow Template

Schedule this scraper and send results to Google Sheets, Airtable, or Slack.

⬇ Download .json
Paste in n8n with Ctrl+V n8n.io/creators/unitbytes ↗

FAQ

Frequently Asked Questions

Q: What is the difference between places mode and reviews mode?

Places mode (default) extracts complete 45+ field business profiles including menus, hours, sentiment keywords, and embedded visitor/blog reviews. reviews mode streams up to 500 individual receipt-verified visitor reviews per business (1 row per review).

Q: What Naver Map and Naver Place input formats are supported?

You can pass Korean search queries (e.g. '강남 맛집', '성수동 카페', '명동 피부과'), desktop Naver Map URLs (map.naver.com/p/entry/place/...), mobile Naver Place URLs (m.place.naver.com/...), naver.me shortlinks, or numeric Place IDs.

Q: Does this scraper extract full restaurant menus and KRW prices?

Yes. When includeMenus is enabled (default: true), every business record includes the full menus array with dish name, numeric KRW price, formatted price, menu description, isRecommended badge, and high-resolution menu photo.

Q: Can I filter for photo-only visitor reviews or sort by newest?

Yes. In reviews mode, set reviewSort to 'recent' (Newest) or 'recommend' (Most Relevant), and enable onlyPhotoReviews: true to collect exclusively receipt-verified visitor reviews with customer photos.

Naver Map & Place Korea Playbook

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.

Read the guide →

Prefer Not to Run It Yourself?

Tell us what you need from Naver Place Scraper & Naver Map ($1/1K) 네이버 플레이스·지도 and we'll deliver a clean Excel/CSV file. One-time datasets from $99, custom scrapers from $299. We reply within 48 hours.