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⚡ 네이버 지도 검색·B2B DB 수집 ($1.00/1K): 지역·업종별 상호명, 전화번호(0507), 도로명·지번주소, 위경도(GPS), 홈페이지·인스타그램, 영업시간, 메뉴 가격표 추출. Fast Naver Map Scraper for Korean B2B business leads, phones, coordinates, menus, hours & ratings by keyword or GPS.

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🇰🇷 Naver Map & Naver Place Korea Scraper API Suite: Business Leads, KRW Menus & Visitor Receipt Reviews ($0.50 / 1K)

Available on Apify Open in Colab n8n Creator Hub Release Pricing

Complete South Korea (대한민국) Naver Map (map.naver.com) & Naver Place (m.place.naver.com) 3-Engine Data Extraction Suite on Apify ($0.50–$1.00 / 1,000 items). Extract verified Korean POI business leads, phones, road/jibun addresses, WGS84 coordinates, KRW menu prices, SmartPlace/Naver Booking/NPay flags, and receipt-verified Visitor Reviews (영수증 방문자 리뷰) with zero login or Korean phone number required.

🚀 Try Live on Apify • 📓 Open in Google Colab • ⚡ Official n8n Creator Hub • 🔧 40 Free n8n Templates • 📖 Documentation & Schemas • 📚 Engineering Playbooks

🇰🇷 Naver Map & Naver Place Korea Scraper API Suite: Business Leads, KRW Menus & Visitor Receipt Reviews (`$0.50 / 1K`)

Try it for Free
⚡ 1-Click Free Trial: Test live queries using Apify's `$5` free monthly credit • Zero login or cookies required

📦 Included in This Repository (Python Quickstarts, Google Colab, n8n Workflows, MCP & Sample Data)

This repository contains ready-to-run Python SDK scripts, an interactive 1-Click Google Colab notebook (notebooks/quickstart.ipynb), 9-node n8n automation workflow .json templates, AI Agent MCP configuration (.cursor/mcp.json), and sample output datasets (JSON & CSV):

Extraction Engine 🐍 Python SDK Quickstart ⚡ n8n Workflow Template 📊 Sample Output 🚀 Cloud Console
Naver Map Scraper: Korean Leads & Menus
unitbytes/naver-map-scraper • Full Schema • Engineering Playbook		 examples/run_naver_map_scraper.py n8n/naver-map-scraper-n8n-workflow.json JSON · CSV ⚡ Run on Apify
Naver Place Scraper: Places & Menus
unitbytes/naver-place-scraper • Full Schema • Engineering Playbook		 examples/run_naver_place_scraper.py n8n/naver-place-scraper-n8n-workflow.json JSON · CSV ⚡ Run on Apify
Naver Place Reviews Scraper
unitbytes/naver-place-reviews-scraper • Full Schema • Engineering Playbook		 examples/run_naver_place_reviews_scraper.py n8n/naver-place-reviews-scraper-n8n-workflow.json JSON · CSV ⚡ Run on Apify

⚡ Pre-Configured 1-Click Task Presets

Launch pre-configured extraction templates directly in the Apify Cloud Console with zero parameter setup:

Task Preset Target Extraction Use Case Direct Launch
Scrape Naver Place (네이버 플레이스) Korean Businesses, Menus & Receipt Reviews Extract South Korean restaurants, clinics, cafes, KRW menu prices, and verified receipt reviews (영수증 리뷰) from Naver Place without Korean IP blocks. ⚡ Run Task Preset

🧭 Which South Korea Naver Map & Naver Place Engine Should You Use? (3-Engine Suite)

Engine Apify Actor Slug Primary Use Case Key Extracted Fields Starting Price
🇰🇷 Naver Place Scraper: Places & Menus (네이버 플레이스) unitbytes/naver-place-scraper All-in-one storefront enrichment including 36 place fields, KRW menu price catalogs, SmartPlace/Booking/NPay flags, and embedded visitor reviews place_id, name, category, road_address, address, phone, virtual_phone, menus (price_krw), facilities, homepage_url, sns_links, and reviews $1.00 / 1K places ($0.001/item)
🗺️ Naver Map Scraper: Korea Business Leads (네이버 지도) unitbytes/naver-map-scraper High-speed South Korea POI discovery, local B2B lead generation, and multi-district search place_id, name, category, phone, virtual_phone, road_address, address, latitude/longitude, homepage_url, sns_links, and NPay/SmartOrder flags $1.00 / 1K places ($0.001/item)
⭐ Naver Place Reviews Scraper (영수증 방문자 리뷰) unitbytes/naver-place-reviews-scraper Deep Korean consumer sentiment and receipt-verified Visitor Reviews (영수증/결제 인증 방문자 리뷰) review_id, author_nickname, review_text, rating, visit_count, visit_verification_type, visit_keywords, owner_reply_text, and review photos/videos $0.50 / 1K reviews ($0.0005/item)

🛠️ Extraction Engines in This Suite

🚀 Naver Map Scraper: Korean Leads & Menus (unitbytes/naver-map-scraper)

Scrape Naver Map (네이버 지도) & Naver Place (네이버 플레이스) business leads from $1.00/1K: Korean company names, phone numbers (0507), road addresses, GPS coordinates, websites, opening hours, KRW menus & ratings. 지역·업종별 상호명, 전화번호, 주소, 위경도, 메뉴 가격표 B2B DB 추출.

Key Capabilities

  • 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.

⚙️ Input Parameters (Schema)

Parameter Type Default / Prefill Description
queries array ["강남 맛집"] Keywords to search on Naver Map (map.naver.com, e.g., 강남 맛집, 성수동 카페, 강남 피부과, 명동 호텔, 홍대 미용실). You can also paste direct Naver Map URLs or Place IDs here.
placeUrls array — Optional list of direct Naver Map URLs (https://map.naver.com/p/entry/place/2000000001), Map Search URLs (https://map.naver.com/p/search/강남%20맛집), Mobile Place URLs, naver.me shortlinks, or numeric Place IDs (2000000001). Overrides prefilled search queries.
scrapeDetails boolean True When enabled (default), extracts 7-day opening hours, full menu list with KRW prices & photos, walking directions, nearest subway stations, parking fees, website/Instagram links, sentiment keyword breakdown, and recent reviews. Disable for rapid 50-per-page map search cards.
maxItems integer 20 Maximum number of business listings (or reviews in reviews mode) to collect across the run.
sortBy string popular Server-side sorting order for Naver Map search results (popular / relevance default, precision, or distance from searchCoordinates).
searchCoordinates string — Optional GPS center point as latitude,longitude (e.g., 37.497942,127.027610 for Gangnam Station, Seoul) used for localized map search ranking and distance sorting.
maxReviewsPerPlace integer 10 Maximum number of visitor reviews (방문자 리뷰) to embed per business when scrapeDetails is enabled.
includeBlogReviews boolean True Include Naver Blog and Cafe review posts linked to each business.
maxBlogReviewsPerPlace integer 10 Maximum number of linked Naver Blog / Cafe reviews to fetch per business.
onlyPhotoReviews boolean False Filter visitor reviews server-side to only return reviews that include customer-uploaded photos.
mode string places Outputs one record per business (places, default) or one row per review (reviews).
language string ko Language preference for Naver Map category and address fields (ko for original Korean, en for English localized strings where available).
startPage integer 1 1-indexed search page to start from (50 businesses per page).
resumptionToken string — Optional compact continuation token emitted at the end of a previous batch run (RESUMPTION_TOKEN in Key-Value Store) to resume pagination with 0 duplicate overlap.
proxyConfiguration object {"useApifyProxy": true} Proxy settings for accessing Naver Map endpoints reliably.

Python SDK Quickstart (examples/run_naver_map_scraper.py)

from apify_client import ApifyClient

APIFY_TOKEN = os.getenv("APIFY_API_TOKEN", "YOUR_APIFY_API_TOKEN")
if not APIFY_TOKEN or APIFY_TOKEN.startswith("YOUR_"):
    raise SystemExit("Please set your Apify API token: export APIFY_API_TOKEN='apify_api_...'")

client = ApifyClient(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"))

Sample Output Schema (samples/naver-map-scraper-sample.json)

{
  "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"
}

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.

🚀 Naver Place Scraper: Places & Menus (unitbytes/naver-place-scraper)

Scrape Naver Place (네이버 플레이스) & Naver Map (네이버 지도) from $1.00/1K: Korean local business leads, phone numbers (0507), road addresses, GPS coordinates, 7-day hours, KRW menus, visitor & blog reviews. 상호명, 전화번호, 주소, 영업시간, 메뉴·가격, 방문자·블로그 리뷰 초고속 추출.

Key Capabilities

  • 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.
  • 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.
  • 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.
  • 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.

⚙️ Input Parameters (Schema)

Parameter Type Default / Prefill Description
queries array ["강남 맛집"] Keywords to search on Naver Map / Naver Place (e.g., 강남 맛집, 성수동 카페, 강남 피부과, 명동 호텔, 홍대 미용실). You can also paste direct Naver Map / Place URLs or numeric Place IDs here.
placeUrls array — Optional list of direct Naver Map URLs (https://map.naver.com/p/entry/place/2000000001), Mobile Place URLs (https://m.place.naver.com/restaurant/2000000001/home), naver.me shortlinks, search URLs (https://map.naver.com/p/search/강남%20맛집), or raw numeric Place IDs (2000000001). Takes precedence over prefilled search queries.
mode string places Select whether to output enriched Place records (places — includes menus, hours, contacts, sentiment stats, and embedded reviews) or dedicated individual review rows (reviews — outputs one row per visitor/blog review for deep sentiment analysis).
scrapeDetails boolean True When enabled (default), extracts 7-day opening hours, full menu list with KRW prices & photos, walking directions, nearest subway stations, parking fees, website/Instagram links, sentiment keyword breakdown, and recent visitor/blog reviews. Disable for ultra-fast summary search cards.
maxItems integer 20 Maximum number of items (places in places mode, or reviews in reviews mode) to collect across the run.
maxReviewsPerPlace integer 10 Maximum number of visitor reviews (방문자 리뷰) to fetch per place when scrapeDetails is enabled or in reviews mode.
includeBlogReviews boolean True Include Naver Blog and Cafe review posts linked to each place (author name, post title, URL, snippet, date, and thumbnail).
maxBlogReviewsPerPlace integer 10 Maximum number of linked Naver Blog / Cafe reviews to fetch per place.
onlyPhotoReviews boolean False Filter visitor reviews server-side to only return reviews that include customer-uploaded photos or receipt images.
sortBy string popular Server-side sorting order for Naver Place search results (popular / relevance default, or distance from search coordinates).
searchCoordinates string — Optional GPS center point as latitude,longitude (e.g., 37.497942,127.027610 for Gangnam Station, Seoul) used for localized ranking and distance sorting.
language string ko Language preference for Naver Place category and address fields (ko for original Korean, en for English localized strings where available).
startPage integer 1 1-indexed search page to start from (50 places per page).
resumptionToken string — Optional compact continuation token emitted at the end of a previous batch run (RESUMPTION_TOKEN in Key-Value Store) to resume pagination with 0 duplicate overlap.
proxyConfiguration object {"useApifyProxy": true} Proxy settings for accessing Naver Place endpoints reliably.

Python SDK Quickstart (examples/run_naver_place_scraper.py)

from apify_client import ApifyClient

APIFY_TOKEN = os.getenv("APIFY_API_TOKEN", "YOUR_APIFY_API_TOKEN")
if not APIFY_TOKEN or APIFY_TOKEN.startswith("YOUR_"):
    raise SystemExit("Please set your Apify API token: export APIFY_API_TOKEN='apify_api_...'")

client = ApifyClient(APIFY_TOKEN)

run_input = {
    "queries": ["강남 맛집"],
    "mode": "places",
    "scrapeDetails": True,
    "maxItems": 20,
    "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("category"), item.get("phone"), item.get("visitorReviewScore"))

Sample Output Schema (samples/naver-place-scraper-sample.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"
}

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 Place Reviews Scraper (unitbytes/naver-place-reviews-scraper)

Scrape Naver Place reviews (네이버 플레이스 리뷰 · 블로그 리뷰) from $0.50/1K: receipt-verified visitor reviews, star ratings, voted sentiment keywords, owner replies, HD photos & linked Naver Blog posts by URL, ID or keyword. 영수증 방문자 리뷰, 별점, 사장님 답글, 블로그 리뷰 추출.

Key Capabilities

  • 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.

⚙️ Input Parameters (Schema)

Parameter Type Default / Prefill Description
placeUrls array ["https://map.naver.com/p/entry/place/2000000001 Direct Naver Map URLs (https://map.naver.com/p/entry/place/2000000001), Mobile Place URLs (https://m.place.naver.com/restaurant/2000000001/home), naver.me shortlinks, or numeric Place IDs (2000000001) to extract visitor & blog reviews from.
queries array — Optional search keywords on Naver Map / Place (e.g., 강남 맛집, 성수동 카페, 강남 피부과). When provided, overrides the prefilled Place URL and extracts reviews across matching businesses.
maxItems integer 20 Maximum total number of reviews (visitor + blog reviews) to collect across the run.
maxReviewsPerPlace integer 20 Maximum number of receipt-verified 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 that include customer-uploaded photos.
includeBlogReviews boolean True Include Naver Blog and Cafe review posts linked to each place (author name, post title, URL, snippet, date, and thumbnail).
maxBlogReviewsPerPlace integer 10 Maximum number of linked Naver Blog / Cafe reviews to fetch per place.
mode string reviews Outputs one flat row per review (reviews, default) or one row per place with embedded reviews (places).
language string ko Language preference for Naver Place category and address fields (ko for original Korean, en for English localized strings where available).
resumptionToken string — Optional compact continuation token emitted at the end of a previous batch run (RESUMPTION_TOKEN in Key-Value Store) to resume pagination with 0 duplicate overlap.
proxyConfiguration object {"useApifyProxy": true} Proxy settings for accessing Naver Place review endpoints reliably.

Python SDK Quickstart (examples/run_naver_place_reviews_scraper.py)

from apify_client import ApifyClient

APIFY_TOKEN = os.getenv("APIFY_API_TOKEN", "YOUR_APIFY_API_TOKEN")
if not APIFY_TOKEN or APIFY_TOKEN.startswith("YOUR_"):
    raise SystemExit("Please set your Apify API token: export APIFY_API_TOKEN='apify_api_...'")

client = ApifyClient(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"))

Sample Output Schema (samples/naver-place-reviews-scraper-sample.json)

{
  "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"
}

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.

⚡ Quick Installation & Local Usage

1. Run Interactively in Google Colab (Zero Local Setup)

Click Open in Google Colab ↗ (notebooks/quickstart.ipynb) to inspect the sample output DataFrame immediately and run live extractions in your browser without installing Python locally.

2. Run Locally with Python (apify-client)

git clone https://github.com/unitbytes/Naver-Map-Place-Scraper-API.git
cd Naver-Map-Place-Scraper-API
pip install -r requirements.txt
export APIFY_API_TOKEN="your_apify_api_token"
python examples/run_naver_map_scraper.py

3. Import into n8n (Self-Hosted or Cloud)

  1. Open any .json file inside the n8n/ folder (or copy in 1 click from unitbytes.com/n8n / n8n.io/creators/unitbytes).
  2. Press Ctrl+V / Cmd+V directly onto your n8n workflow canvas.
  3. Configure your Apify API Token in the HTTP Header Auth credential on Node 2. Run UnitBytes (...) (and customize your search inputs in Node 1. Configure Search & Rules), then click Test Workflow.

4. Use with AI Coding Agents (Cursor, Windsurf & Claude Code MCP)

This repository includes a ready-to-use Model Context Protocol configuration at .cursor/mcp.json pointing to https://mcp.apify.com with this suite's UnitBytes actors pre-registered. Open this folder in Cursor or Windsurf to let your AI agent run live extractions and inspect schemas automatically.

💼 Need Done-For-You Datasets or Custom Pipelines?

Don't want to manage API tokens or scripts? UnitBytes Data Delivery provides ready-to-use CSV, Excel (.xlsx), Google Sheets, or Webhook feeds tailored to your exact target keywords, cities, or categories.

About

⚡ 네이버 지도 검색·B2B DB 수집 ($1.00/1K): 지역·업종별 상호명, 전화번호(0507), 도로명·지번주소, 위경도(GPS), 홈페이지·인스타그램, 영업시간, 메뉴 가격표 추출. Fast Naver Map Scraper for Korean B2B business leads, phones, coordinates, menus, hours & ratings by keyword or GPS.

apify.com/unitbytes/naver-map-scraper?fpr=939u3w&fp_sid=gh_naver

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