Naver Map Scraper: Places, Leads & Menus ($1/1K) 네이버 지도
Fast & Cheap ($1.00/1k): Naver Map scraper & Naver Place scraper (네이버 지도·플레이스) for South Korea B2B leads, phones (0507), road addresses & KRW menus. Extracts GPS coordinates, websites, opening hours, visitor & blog reviews.
{
"placeId": "2000000001",
"name": "서울 미식 다이닝 강남점",
"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": "2026-10-28T12:00:00.000000+00:00"
}
Features
What the Naver Map Scraper: Places, Leads & Menus ($1/1K) 네이버 지도 Extracts
Complete 45+ Field Korean B2B Lead Records
Captures company/store names, categories across all verticals (restaurant, hospital, hairshop, accommodation, place), phone & SmartCall (0507) numbers, road & lot addresses, GPS coordinates, websites, Instagram links, Naver TalkTalk (talktalkUrl), and Naver Booking (bookingUrl).
All-in-One Transparent Pricing
Pay one flat rate (result-scraped) per business lead with full place details, menus, 7-day hours, websites, and embedded reviews included at $0.00 extra add-on charge.
GPS Coordinate Centering & Server-Side Distance Sorting
Pass any searchCoordinates (latitude,longitude, e.g., 37.497942,127.027610) and sortBy: "distance" or "popular" to map hyper-local commercial districts (상권 분석) across Seoul, Busan, Incheon, Daegu, and nationwide.
Full Menus, KRW Prices & Spend Analytics
Extracts every menu item with integer KRW price (priceKrw), description, recommended flags, high-resolution menu photos, popular dishes (popularMenusText), average spend, and average stay time.
Integration
Run It From Python or n8n
from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run_input = {
"queries": ["강남 맛집"],
"scrapeDetails": True,
"maxItems": 20,
"sortBy": "popular",
"maxReviewsPerPlace": 10,
"includeBlogReviews": True
}
run = client.actor("unitbytes/naver-map-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 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-map-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 Map Scraper: Places, Leads & Menus ($1/1K) 네이버 지도 and we'll deliver a clean Excel/CSV file. One-time datasets from $99, custom scrapers from $299. We reply within 48 hours.