Naver Place Scraper 🇰🇷 — Korea Local Business & Map Data

Extract local business data from Naver Place / Naver Map — Korea's #1 local directory — as clean, structured JSON. Search by area + keyword (e.g. 강남 맛집) and get name, category, road & lot address, phone, rating, visitor & blog review counts, business hours, coordinates, booking links and more.

💡 Why Naver, not Google Maps? In Korea, Google Maps is structurally weak (Korean law restricts exporting map data), so Naver dominates local search. Naver Place is the source for Korean restaurants, cafes, shops and services — data the global Google Maps scrapers simply can't deliver.

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📋 Table of contents

• What does it do?
• Use cases
• How to use it
• Input parameters
• Input examples
• Output — data fields
• Sample output record
• Tips & best practices
• Frequently asked questions
• Changelog

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What does it do?

Give it Korean search queries (area + keyword) and it returns every matching place with a rich profile:

• 🏪 Identity: name, category, business category, description.
• 📍 Location: road address, lot (jibun) address, full address, and GPS coordinates.
• 📞 Contact: phone and Naver virtual phone number.
• ⭐ Reputation: visitor review score (rating), visitor review count, blog/cafe review count, total review count.
• 🕒 Details: business hours, amenities/options, booking link, Naver Pay, Michelin guide flag, images.

Export to JSON, CSV, Excel, XML or HTML, or pull from the Apify API.

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Use cases

📇 Korea lead generation & local marketing

• Build lists of Korean businesses by area + category with phone + address for outreach.
• Target restaurants, cafes, salons, clinics by neighborhood.

📊 Market & competitive research

• Map business density, ratings and review volume across Korean districts.
• Benchmark competitors by reviews and rating.

🍽️ Food / travel / review platforms

• Aggregate Korean restaurant/cafe data with ratings and coordinates.

🤖 Data & AI teams

• Build Korean local-business datasets with reputation signals.

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How to use it (step by step)

No coding required.

1. Click Try for free / Start.
2. Add Search queries in Korean — area + keyword, e.g. 강남 맛집, 홍대 카페, 제주 호텔.
3. Pick a Place type (restaurants, all places, hair/beauty, hospitals, attractions).
4. Set Max places.
5. Keep the proxy on its default — KR Residential (required).
6. Click Save & Start, then export the results.

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Input parameters

Field	Type	Description
queries	array	Korean search queries (area + keyword), e.g. 강남 맛집.
searchType	string	Place vertical: restaurant, place, hairshop, hospital, attraction.
maxItems	integer	Max places. 0 = no limit. Default 200.
maxPagesPerQuery	integer	Pagination cap per query (~50 places/page). Default 10.
proxyConfiguration	object	KR Residential required (Naver needs a Korean IP and rate-limits hard). Default.
maxConcurrency	integer	Keep low — per-IP rate limits. Default 2.

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Input examples

1) Restaurants in Gangnam

{
  "queries": ["강남 맛집"],
  "searchType": "restaurant",
  "maxItems": 200
}

2) Cafes across several areas

{
  "queries": ["홍대 카페", "성수 카페", "연남동 카페"],
  "searchType": "restaurant",
  "maxItems": 1000
}

3) Hair salons in Seoul

{
  "queries": ["서울 미용실"],
  "searchType": "hairshop"
}

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Output — data fields

One record per place:

Field	Description
placeId	Naver place ID
name	Business name
category / businessCategory	Category
description	Short description
roadAddress	Road-name address
address	Lot (jibun) address
fullAddress / commonAddress	Full / common address
phone / virtualPhone	Phone numbers
latitude / longitude	GPS coordinates
visitorReviewScore	Visitor rating
visitorReviewCount	Visitor review count
blogCafeReviewCount	Blog/cafe review count
bookingReviewCount / totalReviewCount	Booking / total review counts
businessHours / newBusinessHours	Hours
options	Amenities / options
hasBooking / bookingUrl	Naver booking
hasNPay	Naver Pay accepted
michelinGuide	Michelin guide info
imageUrl / imageCount / imageUrls	Images
placeUrl / mobileUrl	Naver Place URLs
searchQuery	The query that produced this record
scrapedAt	ISO timestamp

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Sample output record

{
  "placeId": "1046192699",
  "name": "봉계타 현대백화점 무역센터점",
  "category": "칼국수,만두",
  "roadAddress": "테헤란로 517 현대백화점 무역센터점 10층",
  "address": "삼성동 159-7",
  "phone": "02-3467-6698",
  "latitude": 37.5085258,
  "longitude": 127.059807,
  "visitorReviewScore": 4.5,
  "visitorReviewCount": 2076,
  "blogCafeReviewCount": 512,
  "totalReviewCount": 2588,
  "hasBooking": true,
  "placeUrl": "https://map.naver.com/p/entry/place/1046192699",
  "searchQuery": "강남 맛집",
  "scrapedAt": "2026-06-05T17:00:00.000Z"
}

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Tips & best practices

• 🇰🇷 Keep the default KR Residential proxy — Naver requires a Korean IP and blocks others.
• 🗺️ Use area + keyword queries (강남 맛집, 부산 카페) — combine many to cover a region.
• 🧪 Start with one query and a small maxItems to confirm the output.
• 🐢 Keep concurrency low — Naver rate-limits per IP.
• 💾 Use the Apify API / integrations to push results into Google Sheets, a CRM, or a webhook, and schedule runs to track new openings and ratings.

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Frequently asked questions

Do I need a Korean proxy? Yes — Naver only serves a Korean IP reliably and rate-limits others. The actor defaults to KR Residential; keep it.

Does it include ratings and review counts? Yes — visitor rating, visitor review count, and blog/cafe review counts.

Does it return phone numbers and addresses? Yes — phone, virtual phone, road and lot addresses, plus GPS coordinates.

Can I scrape cafes / salons / clinics, not just restaurants? Yes — set the Place type (restaurants/cafes, all places, hair & beauty, hospitals, attractions).

What export formats are supported? JSON, CSV, Excel, XML, HTML table, RSS — plus the Apify API and integrations.

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Changelog

0.1.0

• Initial release: search Naver Place by area + keyword with automatic pagination.
• Rich place records: category, road & lot address, phone & virtual phone, rating, visitor & blog review counts, hours, coordinates, booking and images.
• KR residential proxy handling; fast API-first parsing (no browser).