Naver Place Scraper - Korea Local Business & Map Data

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

Extract local business data from Naver Place / Naver Map — South Korea's #1 local business directory and mapping platform — as clean, structured records. This Naver Place scraper lets you scrape Naver Place by area + keyword (e.g., 강남 맛집 / "Gangnam restaurants", 홍대 카페 / "Hongdae cafes", 제주 호텔 / "Jeju hotels") and exports business name, category, road-name & jibun (lot) addresses, contact phone numbers, visitor rating score, visitor & blog/cafe review counts, operating hours, GPS coordinates, amenities, Naver Booking & Naver Pay flags, and high-resolution photo URLs — with no login and no coding.

Export your South Korean business dataset to JSON, CSV, Excel, XML, HTML, or via the Apify API for B2B lead generation, retail site selection, F&B market intelligence, and travel/hospitality applications.

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⚡ At a glance

Feature	Details
Target platform	Naver Place / Naver Map — South Korea's primary local search directory
Supported verticals	Restaurants & cafes (restaurant), All places (place), Hair & beauty salons (hairshop), Hospitals & clinics (hospital), Attractions (attraction)
Search format	Korean area + keyword queries (e.g., 강남 맛집, 성수 카페, 부산 호텔, 서울 피부과) — multiple queries per run
Contact & location data	Usable phone, virtualPhone (Naver 0507 safe number), landlinePhone, 4 Korean address formats (roadAddress, address, commonAddress, fullAddress), and exact WGS84 latitude / longitude
Reputation metrics	visitorReviewScore (5-point rating), visitorReviewCount, blogCafeReviewCount, bookingReviewCount, totalReviewCount, and michelinGuide
Pagination & scale	~50 places per page; automatic multi-page traversal (maxPagesPerQuery: 0 auto/unlimited) with 100% placeId de-duplication
Proxy setup	Pre-configured with South Korea (KR) Residential proxy and automatic session/IP rotation
Output formats	JSON, CSV, Excel (XLSX), XML, HTML, and Apify REST API

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📋 Table of contents

• Why scrape Naver Place instead of Google Maps?
• What this Naver Place scraper does
• Use cases
• Input configuration
• Output & field reference
• Pagination & 1,000+ scale
• How to use
• Pro tips for Korean local business scraping
• FAQ
• Related scrapers
• Changelog

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🔎 Why scrape Naver Place instead of Google Maps?

In South Korea, Google Maps has restricted domestic coverage due to Korean geospatial data regulations. As a result, Korean consumers and businesses rely overwhelmingly on Naver Map and Naver Place to discover restaurants, cafes, retail stores, beauty salons, medical clinics, and tourist attractions. Every active Korean merchant maintains a detailed Naver Place profile with verified addresses, safe call routing numbers, Naver Pay / Naver Booking integration, receipt-verified visitor reviews, and Naver Blog/Cafe review links.

Global map scrapers miss the vast majority of South Korean merchants, review counts, and Korean road-name (도로명) vs. lot (지번) address structures. Meanwhile, collecting Naver Place listings manually is impractical across hundreds of neighborhoods (동 / 구) and business categories.

This Naver Place data extractor automates the entire pipeline. Pass a list of Korean search queries and receive a clean, de-duplicated dataset ready for CRM import, geospatial mapping, or competitive intelligence.

Key business outcomes

• 📇 South Korea B2B lead generation — build targeted outreach lists of Korean restaurants, cafes, salons, clinics, and shops with phone numbers (phone) and four normalized address formats.
• 📊 F&B & retail competitive intelligence — benchmark competitor density, average visitor ratings (visitorReviewScore), receipt-verified review volume (visitorReviewCount), and blog buzz (blogCafeReviewCount) by district.
• 🗺️ GIS, site selection & territory planning — plot exact latitude and longitude coordinates alongside review volume to spot high-footfall commercial zones and underserved neighborhoods.
• 🍽️ Travel, dining & K-culture directories — power multilingual travel apps, concierge bots, and K-food guides with live Korean venue data, Michelin indicators, amenities (options), and photo galleries.
• 💳 POS, payment & booking SaaS prospecting — filter merchants by hasBooking and hasNPay to identify businesses that have or have not adopted digital booking and Naver Pay.

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✨ What this Naver Place scraper does

• ✅ Multi-query area + keyword search — run dozens of Korean search queries (e.g., 강남 맛집, 홍대 카페, 이태원 바, 명동 화장품, 해운대 호텔) in a single job.
• ✅ Five dedicated Naver Place verticals — target Restaurants & cafes (restaurant), All places (general) (place), Hair & beauty salons (hairshop), Hospitals & clinics (hospital), or Attractions & things to do (attraction).
• ✅ Unlocked 1,000+ pagination & smart early-stop — pages through each query (~50 businesses per page) until maxItems is reached, maxPagesPerQuery is hit, or Naver stops returning new unique businesses for that query.
• ✅ Cross-query de-duplication — every business is de-duplicated by its canonical Naver placeId, guaranteeing 0 duplicate records even when adjacent neighborhood searches overlap.
• ✅ Complete Korean address & GPS coverage — captures road-name address (roadAddress), lot/jibun address (address), district/dong summary (commonAddress), full administrative address (fullAddress), and WGS84 latitude / longitude.
• ✅ Multi-channel review & reputation metrics — extracts visitorReviewScore, visitorReviewCount (receipt-verified reviews), blogCafeReviewCount (Naver Blog & Cafe posts), bookingReviewCount, and computed totalReviewCount.
• ✅ Built-in Korean IP & session management — pre-configured for KR Residential proxies with automatic cookie warm-up and IP rotation on rate limits.

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🎯 Use cases

Audience	How they use Naver Place data
📇 B2B Sales & Lead-Gen Agencies	Build segmented prospect lists of Korean SMBs (restaurants, clinics, salons, retail) with phone numbers, addresses, and digital adoption signals (hasBooking, hasNPay).
🍽️ F&B Brands & Delivery Platforms	Map restaurant categories, review velocity, and neighborhood saturation across Seoul, Busan, Incheon, Daegu, and Jeju.
🧳 Travel, OTA & K-Tourism Apps	Enrich travel guides with accurate Korean venue names, GPS pins, operating hours (newBusinessHours), amenities (options), and photo galleries (imageUrls).
🏢 Franchise & Real Estate Analysts	Combine latitude/longitude coordinates and totalReviewCount to evaluate commercial foot traffic before opening new store locations.
🏥 Healthcare & Beauty Marketplaces	Extract dermatology clinics, dental practices, plastic surgery centers (hospital), and hair/nail studios (hairshop) with ratings and review counts.
🤖 AI & Dataset Engineering Teams	Feed structured, up-to-date Korean POI (Point of Interest) data into LLMs, RAG pipelines, and recommendation engines.

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📥 Input configuration

Configure the Naver Place scraper via the Apify Console form or JSON input. All fields are optional — leaving queries empty runs a built-in sample of 8 popular South Korean search queries so you can inspect the output structure immediately.

Field	Type	Default	Description
queries	array	3 prefilled queries	Korean search terms combining an area + keyword (e.g., "강남 맛집", "홍대 카페", "제주 호텔"). Each entry is searched and paginated independently. Leave empty for an 8-query Korean sample.
searchType	string	"restaurant"	Naver Place section to query: "restaurant" (Restaurants & cafes), "place" (All places / general businesses), "hairshop" (Hair & beauty salons), "hospital" (Hospitals & clinics), or "attraction" (Attractions & things to do).
maxItems	integer	0 (prefill 100)	Maximum total places to collect across all queries (0 = unlimited).
maxPagesPerQuery	integer	0	Maximum result pages to crawl per query (~50 places per page). Set 0 for automatic / unlimited pagination governed by maxItems.
maxConcurrency	integer	2	Number of queries/pages processed in parallel (1–6). Keep at 2 for optimal stability against Naver's per-IP rate limiter.
proxyConfiguration	object	KR Residential	Proxy configuration. South Korean (KR) Residential proxy is required so Naver serves complete domestic business listings.

Example 1 — Multi-district Seoul restaurant & cafe sweep (1,000+ places)

{
  "queries": [
    "강남 맛집",
    "홍대 맛집",
    "성수 카페",
    "이태원 맛집",
    "명동 맛집",
    "연남동 카페",
    "여의도 맛집",
    "잠실 맛집"
  ],
  "searchType": "restaurant",
  "maxItems": 1000,
  "maxPagesPerQuery": 0,
  "maxConcurrency": 2,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "KR"
  }
}

Example 2 — Seoul beauty & hair salons (hairshop vertical)

{
  "queries": ["강남 미용실", "홍대 미용실", "청담동 미용실", "건대 미용실"],
  "searchType": "hairshop",
  "maxItems": 500,
  "maxPagesPerQuery": 0
}

Example 3 — Medical clinics & dental practices (hospital vertical)

{
  "queries": ["강남 피부과", "강남 치과", "서초 안과", "부산 성형외과"],
  "searchType": "hospital",
  "maxItems": 400
}

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📤 Output & field reference

Each business is emitted as a normalized JSON object. Below is a real record captured from a live run for 강남 맛집 (Gangnam restaurants):

{
  "placeId": "2083987873",
  "name": "이자카야 고코 선릉점",
  "category": "이자카야",
  "businessCategory": "bar",
  "description": null,
  "roadAddress": "선릉로86길 37 2층 이자카야 고코 선릉점",
  "address": "대치동 890-45",
  "commonAddress": "서울 강남구 대치동",
  "fullAddress": "서울특별시 강남구 대치동 890-45 2층 이자카야 고코 선릉점",
  "phone": "0507-1377-5658",
  "landlinePhone": null,
  "virtualPhone": "0507-1377-5658",
  "latitude": 37.5041178,
  "longitude": 127.0526968,
  "visitorReviewScore": 4.97,
  "visitorReviewCount": 99,
  "blogCafeReviewCount": 120,
  "bookingReviewCount": 0,
  "totalReviewCount": 219,
  "businessHours": null,
  "newBusinessHours": {
    "status": "영업 전",
    "description": "11:00에 영업 시작"
  },
  "options": "단체 이용 가능,포장,예약,무선 인터넷,남/녀 화장실 구분,대기공간",
  "hasBooking": true,
  "bookingUrl": null,
  "hasNPay": false,
  "michelinGuide": null,
  "imageUrl": "https://ldb-phinf.pstatic.net/20260918_105/.../KakaoTalk_20250709_233928108.jpg",
  "imageCount": 62,
  "imageUrls": [
    "https://ldb-phinf.pstatic.net/20260918_105/.../KakaoTalk_20250709_233928108.jpg",
    "https://ldb-phinf.pstatic.net/20261018_249/.../KakaoTalk_20261018_150849860.jpg"
  ],
  "placeUrl": "https://map.naver.com/p/entry/place/2083987873",
  "mobileUrl": "https://m.place.naver.com/restaurant/2083987873/home",
  "searchQuery": "강남 맛집",
  "scrapedAt": "2026-11-01T23:48:42.739Z"
}

Field reference by category

🏷️ Identity & categorization

Field	Type	Coverage	Description
placeId	string	🟢 High (100%)	Unique Naver Place numeric ID (used as the primary key for de-duplication).
name	string	🟢 High (100%)	Official business display name on Naver Place.
category	string	🟢 High (100%)	Granular Korean business category (e.g., 일식당, 카페,디저트, 미용실, 피부과).
businessCategory	string	🟢 High (100%)	Internal Naver vertical classification (e.g., restaurant, bar, hospital).
description	string | null	🟡 Conditional	Short merchant promotional tagline or intro when published on the listing card.
searchQuery	string	🟢 High (100%)	The exact input search query that surfaced this business.
scrapedAt	string	🟢 High (100%)	ISO 8601 UTC timestamp indicating when the record was scraped.

📍 Korean addresses & GPS coordinates

Field	Type	Coverage	Description
roadAddress	string | null	🟢 High (~100%)	Korean street/road-name address (도로명주소), e.g., "선릉로86길 37 2층".
address	string | null	🟢 High (~100%)	Traditional lot/jibun address (지번주소), e.g., "대치동 890-45".
commonAddress	string | null	🟢 High (100%)	Province/city + district (구/시) + neighborhood (동), e.g., "서울 강남구 대치동".
fullAddress	string | null	🟢 High (~100%)	Complete administrative address string.
latitude	number | null	🟢 High (100%)	WGS84 GPS latitude (y coordinate).
longitude	number | null	🟢 High (100%)	WGS84 GPS longitude (x coordinate).

📞 Contact numbers & links

Field	Type	Coverage	Description
phone	string | null	🟢 High (~92%)	Primary callable phone number (prefers landlinePhone, falls back to virtualPhone).
virtualPhone	string | null	🟡 Conditional (~68%)	Naver 0507-xxxx-xxxx safe call-forwarding number assigned to the merchant.
landlinePhone	string | null	🟡 Conditional (~24%)	Direct landline or mobile number when publicly exposed alongside or instead of a virtual number.
placeUrl	string	🟢 High (100%)	Desktop Naver Map URL (https://map.naver.com/p/entry/place/{placeId}).
mobileUrl	string	🟢 High (100%)	Mobile Naver Place URL (https://m.place.naver.com/{searchType}/{placeId}/home).

⭐ Ratings & review counts

Field	Type	Coverage	Description
visitorReviewScore	number | null	🟡 Conditional (~57%)	Average receipt-verified visitor star rating (out of 5.0). Populated whenever Naver displays a public rating score.
visitorReviewCount	number | null	🟢 High (~99.5%)	Count of receipt/payment-verified visitor reviews (방문자 리뷰).
blogCafeReviewCount	number | null	🟢 High (100%)	Count of Naver Blog and Naver Cafe review articles (블로그 리뷰) mentioning the place.
bookingReviewCount	number | null	🟢 High (100%)	Count of reviews left via Naver Booking (예약자 리뷰).
totalReviewCount	number | null	🟢 High (~99.8%)	Combined total review count across visitor, blog/cafe, and booking reviews.
michelinGuide	object | null	🟡 Conditional	Michelin Guide badge metadata when the restaurant is listed in the Michelin Guide Seoul/Busan.

🕒 Operating hours, booking, payments & media

Field	Type	Coverage	Description
newBusinessHours	object | null	🟢 High (~100%)	Structured real-time operating status (e.g., status: "영업 중", description: "22:00에 영업 종료").
businessHours	string | null	🟡 Conditional	Legacy raw hours string when provided.
options	string | null	🟢 High (~96%)	Comma-separated Korean amenities (e.g., 주차, 포장, 예약, 무선 인터넷, 배달, 단체 이용 가능).
hasBooking	boolean | null	🟡 Conditional (~52%)	Whether the merchant accepts online reservations via Naver Booking.
bookingUrl	string | null	🟡 Conditional	External or Naver Booking URL when exposed.
hasNPay	boolean	🟢 High (100%)	Whether the merchant supports Naver Pay (네이버페이).
imageUrl	string | null	🟢 High (~99.8%)	Primary storefront or dish thumbnail image URL.
imageCount	number | null	🟢 High (100%)	Total number of photos available on the place profile.
imageUrls	array | null	🟢 High (~99.8%)	Array of high-resolution photo URLs from the listing card.

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🔁 Pagination & 1,000+ scale

This Naver Place scraper is built for high-volume Korean directory extraction without slow browser overhead:

1. ** ~50 businesses per page:** Each list request returns up to 50 full business records in a single HTTP round-trip — no individual per-place detail requests are required.
2. Unlocked maxPagesPerQuery: 0 default: When maxPagesPerQuery is 0 (the default), the scraper automatically continues paging (?page=1, ?page=2, ?page=3…) until maxItems is satisfied or the query has no further unique places.
3. Smart duplicate-page detection: On very deep pages, Naver occasionally repeats the final page of results. As soon as a page yields zero new unique placeIds, the actor stops paging that query and advances immediately to the next query — saving proxy traffic and run time.
4. Scaling to 1,000–10,000+ Korean businesses: Because any single area+keyword query in Naver typically returns 200–300 unique places (4–6 pages), combine multiple district/dong queries in queries (e.g., all 25 구 of Seoul or top commercial neighborhoods) with maxItems: 2000 (or 0) to collect thousands of unique venues in one run.

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⚙️ How to use

1. Open the actor in the Apify Console.
2. Enter your Korean queries — combine a neighborhood/city with a business keyword (e.g., 강남 맛집, 성수 카페, 해운대 횟집, 판교 IT).
3. Select searchType — choose Restaurants & cafes, All places (general), Hair & beauty salons, Hospitals & clinics, or Attractions.
4. Set maxItems — e.g., 100 for a quick test, 1000 for a deep regional sweep, or 0 for unlimited.
5. Keep the default KR Residential proxy and click Start.
6. Download or integrate — export your dataset as JSON, CSV, Excel (XLSX), XML, or HTML, or fetch items programmatically via the Apify API.

Calling via the Apify API (Python)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run = client.actor("haketa/naver-place-scraper").call(run_input={
    "queries": ["강남 맛집", "홍대 카페", "성수 카페", "이태원 맛집"],
    "searchType": "restaurant",
    "maxItems": 500,
    "maxPagesPerQuery": 0,
})

for place in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(place["placeId"], place["name"], place["phone"], place["roadAddress"])

Calling via the Apify API (Node.js)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });

const run = await client.actor('haketa/naver-place-scraper').call({
    queries: ['강남 맛집', '홍대 카페', '제주 호텔'],
    searchType: 'restaurant',
    maxItems: 500,
    maxPagesPerQuery: 0,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Collected ${items.length} South Korean businesses from Naver Place.`);

Popular Korean area + keyword combinations (queries cheatsheet)

Korean Query	English Meaning	Recommended searchType
강남 맛집 / 홍대 맛집 / 명동 맛집	Gangnam / Hongdae / Myeongdong restaurants	restaurant
성수 카페 / 연남동 카페 / 제주 카페	Seongsu / Yeonnam-dong / Jeju cafes	restaurant
강남 미용실 / 청담동 네일샵	Gangnam hair salons / Cheongdam nail salons	hairshop
강남 피부과 / 서초 치과 / 압구정 성형외과	Gangnam dermatology / Seocho dental / Apgujeong plastic surgery	hospital
부산 호텔 / 제주 펜션 / 경주 가볼만한곳	Busan hotels / Jeju pensions / Gyeongju attractions	place or attraction
강남 헬스장 / 판교 공유오피스	Gangnam gyms / Pangyo coworking spaces	place

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💡 Pro tips for Korean local business scraping

• 🇰🇷 Always keep the South Korea (KR) Residential proxy enabled: Naver restricts non-Korean IPs and applies strict per-IP rate limits. The default KR residential proxy configuration with automatic session rotation is essential for reliable results.
• 🗺️ Slice large cities by district (구) or neighborhood (동): Instead of a broad query like 서울 식당 (Seoul restaurants), pass granular neighborhood queries (강남역 맛집, 역삼동 맛집, 신사동 맛집, 압구정 맛집) to capture 5–10× more unique venues across Seoul.
• 🏢 Use searchType: "place" for general B2B categories: When scraping gyms (헬스장), academies (학원), real estate offices (부동산), pharmacies (약국), or retail stores, switch searchType from "restaurant" to "place".
• 🐢 Keep maxConcurrency at 2: Naver's rate limiter is sensitive to burst traffic from a single session. A concurrency of 2 delivers ~100–200 places per minute cleanly without triggering unnecessary retries.

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❓ FAQ

Why do I need a Korean (KR) residential proxy?

Naver Place serves domestic Korean business data and actively throttles or blocks requests originating outside South Korea or from datacenter subnets. The actor defaults to Apify's KR Residential proxy pool so it works out of the box.

Do I need a Naver account or API key?

No. The scraper extracts public Naver Place listings directly without requiring a Naver login, developer application, or API key.

What is the difference between phone, virtualPhone, and landlinePhone?

Many South Korean merchants use Naver's free 0507-xxxx-xxxx safe call-routing service (virtualPhone) to protect against spam while still receiving customer calls. The phone field always gives you a ready-to-dial number (preferring landlinePhone when present, and falling back to virtualPhone).

Can I search in English?

Naver Place is a Korean-language index. While a few major hotels or landmarks match English names, you will get 10–50× more results by using Korean area + category terms (e.g., 강남 맛집 instead of "Gangnam restaurant", 서울 카페 instead of "Seoul cafe").

How many places can I extract per run?

Each page returns ~50 places, and with maxPagesPerQuery: 0 the scraper pages automatically until all unique results for each query are collected or maxItems is reached. By passing 10–30 neighborhood queries, you can easily collect 1,000 to 5,000+ unique Korean businesses in a single run.

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🔗 Related scrapers

Building an Asia-Pacific or global B2B local-business pipeline? Pair Naver Place Scraper with our other extractors:

• 🇰🇷 Kakao Map Scraper — South Korea's second-largest map & local business directory.
• 🇹🇭 Wongnai Scraper — Thailand's #1 restaurant and local business platform with phone, email, LINE & GPS.
• 🏢 D&B Scraper — Global B2B company firmographics from Dun & Bradstreet.
• ⭐ BBB Scraper — Accredited business profiles, ratings, and contacts from the Better Business Bureau.
• 🎥 YouTube Contact Scraper — Extract creator business emails and social links from YouTube channels.

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📋 Changelog

v1.2 (2026-11)

• Unlocked 1,000+ pagination: Changed maxPagesPerQuery default from 10 to 0 (automatic/unlimited, governed by maxItems) so deep multi-page queries paginate until maxItems is reached or all unique places are exhausted.
• Improved default-run logging & documentation: Expanded README with Korean vertical examples, field coverage indicators, and multi-district scaling strategies.

v1.1 (2026-10)

• Resilient session & review fallback: Added automatic proxy rotation on 590 tunnel / 429 responses and automatic totalReviewCount summation when Naver omits the explicit total counter.
• Phone normalization: Exposed phone, virtualPhone, and landlinePhone side by side for maximum lead-gen utility.

v1.0 (2026-05)

• Initial release supporting Korean area + keyword search across 5 Naver Place verticals (restaurant, place, hairshop, hospital, attraction).