Naver Map Scraper: Korean Leads & Menus | $1.00 / 1K (네이버 지도 데이터·상권 DB 수집)

Search Naver Map (map.naver.com) by keyword, GPS coordinates, or direct Map URL to extract verified South Korean local business leads, phone numbers (0507 SmartCall & direct lines), road (도로명) and lot (지번) addresses, GPS coordinates (latitude / longitude), official websites & Instagram links, 7-day opening hours, full menus with KRW prices, and customer reviews.

🇰🇷 한국어 요약 (Korean Overview): **네이버 지도(Naver Map, map.naver.com)**에서 지역·업종 검색어(예: 강남 맛집, 성수동 카페, 강남 피부과, 명동 호텔, 홍대 미용실) 또는 위경도 좌표(searchCoordinates)를 기준으로 **전국 매장·기업 DB(상호명, 업종 카테고리, 전화번호·0507 안심번호, 도로명·지번 주소, 우편번호 코드, 위경도 GPS 좌표, 홈페이지·인스타그램·톡톡 링크, 지하철 출구 도보 안내, 주차 정보, 7일 영업시간, 전체 메뉴 및 가격표, 방문자·블로그 리뷰 수 및 평점)**를 1,000건당 $1.00~의 최저가로 수집합니다.

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Why Choose This Naver Map Scraper?

• All-in-One Transparent Pricing (From $1.00 / 1,000 Leads): 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.
• 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).
• 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.
• Clean Flat Schema for Excel, CSV & AI Workflows: Exports directly to Excel, CSV, Google Sheets, Pandas (pd.DataFrame(items)), or Apify MCP Server without [object Object] formatting issues.

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What Data Can You Extract from Naver Map?

Category	Extracted Fields
B2B Identity & Contact	placeId, name, businessCategory (restaurant, hospital, hairshop, accommodation, place), category, categoryCode, phone, virtualPhone, talktalkUrl, homepageUrl, instagramUrl, allLinks
Address, GPS & Transit	roadAddress, address, commonAddress, fullAddress, postalCode, latitude, longitude, distance, directions, nearestSubway, parkingInfo, url, mapUrl
Operating Hours & Booking	businessStatus (e.g., 영업 중), businessHoursText, businessHours (7-day schedule with break times & last order), conveniences, paymentMethods, hasBooking, bookingUrl
Menus & Spend Insights	menuCount, menus (name, priceText, priceKrw, description, isRecommended, imageUrl), menuImages, popularMenusText, priceAvgDescription, stayTimeDescription
Ratings & Sentiment	rating, visitorReviewCount, blogCafeReviewCount, bookingReviewCount, saveCount, imageReviewCount, topVotedKeywords, reviewThemes, microReview, description
Embedded Reviews & Photos	visitorReviews, blogReviews, mainImage, imageCount, images (permanent uncropped HD URLs)

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Input Parameters

Parameter	Type	Default	Description
queries	array	["강남 맛집"]	Search terms to look up on Naver Map (e.g., 강남 맛집, 성수동 카페, 강남 피부과, 명동 호텔, 홍대 미용실). Also accepts direct URLs or Place IDs.
placeUrls	array	[]	Direct Naver Map URLs (https://map.naver.com/p/entry/place/2025884279), Map search URLs (https://map.naver.com/p/search/강남%20맛집), Mobile Place URLs, naver.me shortlinks, or numeric Place IDs. Automatically overrides prefilled queries.
scrapeDetails	boolean	true	Fetch complete business details (menus, 7-day hours, subway directions, website & social links, sentiment breakdown, and reviews). Set false for rapid 50-per-page summary cards.
maxItems	integer	20	Maximum number of businesses (or reviews in reviews mode) to collect.
sortBy	string	"popular"	Server-side search sort order: "popular" (Relevance/Popularity), "precision" (Exact Match), or "distance" (Nearest to searchCoordinates).
searchCoordinates	string	""	Optional map center coordinates as latitude,longitude (e.g., 37.497942,127.027610 for Gangnam Station).
maxReviewsPerPlace	integer	10	Maximum visitor reviews (방문자 리뷰) to embed per business (0–5000).
includeBlogReviews	boolean	true	Include linked Naver Blog & Cafe reviews (블로그 리뷰) for each business.
maxBlogReviewsPerPlace	integer	10	Maximum linked blog/cafe reviews per business (0–500).
onlyPhotoReviews	boolean	false	Filter visitor reviews 100% server-side on Naver (isPhotoUsed) to only return photo reviews.
mode	string	"places"	"places" (one record per business) or "reviews" (one record per review).
language	string	"ko"	"ko" (original Korean) or "en" (English localized category and address names).
startPage	integer	1	Starting page number for keyword searches (50 businesses per page).
resumptionToken	string	""	Continuation token from RESUMPTION_TOKEN in the Key-Value Store to resume multi-batch pagination with 0 duplicate overlap.

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Input Examples

Example 1: Search Korean Businesses by District & Category (강남 맛집, 성수동 카페)

{
    "queries": [
        "강남 맛집",
        "성수동 카페",
        "강남 피부과"
    ],
    "scrapeDetails": true,
    "maxItems": 50,
    "maxReviewsPerPlace": 10,
    "includeBlogReviews": true
}

Example 2: Hyper-Local GPS Radius Search Sorted by Nearest Distance (sortBy: "distance")

{
    "queries": [
        "홍대 미용실"
    ],
    "sortBy": "distance",
    "searchCoordinates": "37.5563,126.9236",
    "scrapeDetails": true,
    "maxItems": 30
}

Example 3: Fast Summary Discovery Mode (50 Businesses per Page)

{
    "queries": [
        "명동 호텔"
    ],
    "scrapeDetails": false,
    "maxItems": 100
}

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Output Sample (places Mode)

{
    "placeId": "2025884279",
    "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": "강남구청역 3-1번 출구로 나오셔서 보이는 올리브영 방향으로 쭉 직진하시다가 커피빈 골목에서 왼쪽으로 꺾어서 200m정도 오시면 왼쪽에 있습니다.",
    "nearestSubway": "강남구청역 7호선",
    "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",
        "남/녀 화장실 구분",
        "간편결제",
        "주차",
        "발렛파킹"
    ],
    "paymentMethods": [
        "간편결제"
    ],
    "hasBooking": true,
    "homepageUrl": "https://map.naver.com/p/entry/place/2025884279",
    "instagramUrl": null,
    "allLinks": [
        "https://map.naver.com/p/entry/place/2025884279"
    ],
    "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/2025884279",
    "mapUrl": "https://m.place.naver.com/restaurant/2025884279/home",
    "searchQuery": "강남 맛집",
    "detailLevel": "full",
    "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.
Business Lead Scraped	result-scraped	$1.40 / 1,000 ($0.0014)	$1.20 / 1,000 ($0.0012)	$1.10 / 1,000 ($0.0011)	$1.00 / 1,000 ($0.0010)	Charged per valid Naver Map business listing (or standalone review item) 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 business directory and review data from public Naver Map and Naver Place listings. 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.