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Reputation Intelligence

Naver Map Scraper: Korean Leads & Menus | $1/1K 네이버 지도

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.

Pay-Per-EventZero Login RequiredFast Cloud APIJSON / CSV Ready
Pricing: $0.0014 / item
•
Latency: Sub-Second
•
Export: CSV / Excel / JSON / API
•
GitHub Repo & Samples →
sample_output.json
{
  "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"
  ],
  "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"
}
Naver Map Scraper: Korean Leads & Menus | $1/1K 네이버 지도 Banner - UnitBytes Enterprise Web Data Engine

Engine Architecture

Key Extraction Capabilities

Built specifically for high-throughput enterprise pipelines with zero credential leakage.

01

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).

02

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.

03

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.

04

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.

Developer & No-Code Automation

Integrate via Python SDK or 1-Click n8n Workflow

Run programmatically in 3 lines of Python or paste our ready-made workflow JSON directly onto your n8n canvas.

Python SDK • pip install apify-client
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 Automation Blueprint All 41 n8n Templates →

Ready-to-Import n8n Workflow

Automate scheduled runs, normalize output fields, and pipe records directly into Google Sheets, Airtable, Slack, or OpenAI with zero code.

Pre-Wired 9-Node Multi-Branch Pipeline:
1. Schedule → 2. Apify API → 3. Dedupe & Score → 4. Sheets + CSV + Slack
⬇ Download .json
Paste in n8n with Ctrl+V n8n.io/creators/unitbytes ↗

Technical Documentation

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.

Local Business & Review Intelligence Playbook

Google Maps Reviews Scraper Guide (2026): Extract 10,000+ Reviews, SLA Metrics & Fake Review Flags ($0.25/1K)

Read our complete technical architecture guide, pricing breakdown, and production Python examples.

Read Engineering Guide →
Done-For-You Datasets • Custom Scrapers • Enterprise SLAs

Need Custom Naver Map Scraper: Korean Leads & Menus | $1/1K 네이버 지도 Data or a Dedicated Pipeline?

Need custom enterprise data integration, dedicated data pipelines, or high-volume warehouse exports? Tell us what data you need and we will deliver clean Excel / CSV / Google Sheets datasets, set up automated S3/BigQuery feeds, or build a custom pipeline for your team.

Option 1 • Fast Turnaround
Done-For-You CSV / Excel

Send us your search keywords, categories, or URLs. We run the extraction and email you a clean, ready-to-use Excel/CSV file within 24 hours.

Option 2 • Automated Stream
Scheduled Data Feeds

Hands-free daily, weekly, or real-time monitoring pushed directly to Google Sheets, Amazon S3, BigQuery, Snowflake, or Webhook.

Option 3 • Bespoke Build
Custom Scraper / New Site

Need custom fields added or a brand-new website reverse-engineered? We build, host, and maintain dedicated anti-bot engines.

Direct response from an engineer within 12 hours.
Prefer direct email? Write to us anytime at contact@unitbytes.com