Naver Map Scraper

Pull places from Naver Maps — South Korea's dominant local-business map — at scale: name, category, both Korean address forms, phone, rating, opening hours, coordinates, inline menu prices, Korean TV-show appearances, and visitor review samples for every restaurant, café, hotel, hospital, clinic, salon, shop, or attraction your keyword surfaces. Built for Korea market researchers, lead-generation teams targeting Korean businesses, and location-data analysts who need clean, structured Naver place data without piecing it together one listing at a time.

Why This Scraper?

• Every Naver place category, not just food — restaurants, cafés, hotels, hospitals, clinics, beauty salons, convenience stores, retail shops, attractions, and services all come back from a single keyword. Food-only scrapers return zero rows for a clinic like 유앤아이피부과; this one returns the clinic.
• Both Korean address formats on every row — the modern road-name address (도로명) and the legacy lot-number address (지번), so the data matches whichever standard your CRM, mapping tool, or government dataset uses.
• Inline visitor review samples — the representative review text Naver shows on each place card, delivered right inside the row alongside the visitor rating and total review count.
• Korean TV-appearance tags — the program a place featured on (흑백요리사, 수요미식회, 2TV생생정보, and more) and the TV-featured dishes, captured inline. Spot the "맛집 on TV" venues your competitors miss.
• Inline menu and price list for food places — item name, price, and image for restaurants and cafés, captured straight from the place card with no extra step.
• Precise GPS coordinates on every place — latitude and longitude ready to drop onto a map, into a geospatial join, or into a radius calculation.
• Both direct and virtual phone numbers — falls back to Naver's 0507 virtual line when a place hides its direct number, so contactable leads aren't lost.
• Opening hours, business status, and amenities — current open/closed status, the hours description Naver shows, and characteristic keywords including wheelchair access (휠체어 입장 가능).
• A per-search result cap — the limit applies to each keyword or URL independently, so a multi-keyword run collects up to your cap for every term, not just the first. Set it to 0 to sweep an entire keyword's results.
• Mirror a search you already set up — paste any Naver Maps search URL and the scraper reproduces that exact result set, keyword and map area included.

Use Cases

Market Research

• Map café, restaurant, or hospital density across Seoul districts like Gangnam or Hongdae
• Compare place counts and ratings between neighborhoods before entering a market
• Track which categories dominate a commercial area
• Benchmark competitor ratings and review volume side by side

Lead Generation

• Build outreach lists of Korean businesses with phone and booking links
• Target salons, clinics, or shops by keyword and district for B2B sales
• Capture virtual 0507 numbers for places that hide their direct line
• Pull contactable place lists for an entire keyword in one run

Location Intelligence

• Geocode places with ready-to-use latitude and longitude
• Join Naver places to your own geospatial datasets using either Korean address form
• Analyze opening hours and business status across a category

Travel & Hospitality

• Compile hotels, attractions, and restaurants for a destination guide
• Surface top-rated dining with inline menu prices for itinerary planning
• Collect review samples to gauge visitor sentiment per venue

Retail Expansion

• Scout existing stores and services in a target district before site selection
• Map convenience stores, shops, and amenities around a candidate address
• Track new place categories appearing in a growth area

Getting Started

Simple keyword search

Just one Korean keyword — the fastest way to start:

{
    "searchTerms": ["강남 맛집"]
}

Multiple searches with a result cap

Combine several keywords — the cap applies to each one, so this run collects up to 300 places per keyword:

{
    "searchTerms": ["서울 카페", "홍대 미용실", "부산 호텔"],
    "maxResults": 300
}

Paste a Naver Maps URL and slim the output

Mirror a search you already opened on the site, and skip the heavier inline collections for a lighter run:

{
    "startUrls": ["https://map.naver.com/p/search/강남%20맛집"],
    "maxResults": 100,
    "includeReviews": false,
    "includeMenu": false
}

Input Reference

Search

Parameter	Type	Default	Description
searchTerms	string[]	["강남 맛집"]	Keywords to search on Naver Maps, in Korean or romanized text — e.g. 강남 맛집 (Gangnam restaurants), 서울 카페 (Seoul café), or a specific business name. Add as many as you like.
startUrls	string[]	[]	Paste Naver Maps search URLs directly (e.g. https://map.naver.com/p/search/강남%20맛집). When provided, these are used instead of the search terms above.

Limits

Parameter	Type	Default	Description
maxResults	integer	50	Caps the number of places collected for each search term or URL (e.g. two terms with a cap of 50 returns up to ~100 places). Set to 0 to collect as many as available. Results come in full pages, so the actual count may slightly exceed this.

Place Details

Parameter	Type	Default	Description
includeReviews	boolean	true	Include the sample of visitor reviews Naver shows for each place. Turn off for a lighter, faster run when you only need the place details.
includeMenu	boolean	true	Include the menu and price list shown for restaurants and cafés (item name, price, and image). Has no effect for places without a menu.

Output

Each place becomes one row. Here is a representative result with reviews and menu enabled:

{
    "placeId": "1234567890",
    "name": "스시 오마카세 강남",
    "category": "일식당",
    "businessStatus": "영업 중",
    "address": "서울특별시 강남구 테헤란로 123",
    "addressJibun": "서울특별시 강남구 역삼동 678-9",
    "roadAddress": "서울특별시 강남구 테헤란로 123",
    "fullAddress": "서울특별시 강남구 테헤란로 123 2층",
    "phone": "02-555-1234",
    "website": "https://booking.naver.com/booking/12/bizes/123456",
    "rating": 4.62,
    "reviewCount": 3322,
    "visitorReviewCount": 1840,
    "blogReviewCount": 1482,
    "businessHours": { "status": "영업 중", "description": "11:30 - 22:00" },
    "amenities": ["주차", "예약", "휠체어 입장 가능"],
    "description": "신선한 제철 재료로 만드는 오마카세 전문점",
    "latitude": 37.500123,
    "longitude": 127.036456,
    "naverUrl": "https://map.naver.com/p/entry/place/1234567890",
    "thumbnailUrl": "https://ldb-phinf.pstatic.net/example.jpg",
    "imageUrls": ["https://ldb-phinf.pstatic.net/example1.jpg"],
    "tvAppearances": [
        { "program": "흑백요리사2", "channel": null, "date": null, "menu": null, "episode": null }
    ],
    "menuItems": [
        { "name": "런치 오마카세", "price": "55,000원", "imageUrl": "https://ldb-phinf.pstatic.net/menu1.jpg" }
    ],
    "reviews": [
        { "author": null, "rating": null, "text": "재료가 신선하고 분위기가 좋아요", "date": null }
    ],
    "searchTerm": "강남 맛집"
}

Core Fields

Field	Type	Description
placeId	string	Naver place identifier
name	string	Business / place name
category	string	Primary category (e.g. 음식점, 카페, 병원)
businessStatus	string	Open / closed status, when shown
description	string	Place intro text or short review summary
searchTerm	string	The keyword or URL that produced this row
naverUrl	string	Canonical Naver place page URL

Address & Location

Field	Type	Description
address	string	Primary (road-name 도로명) address
roadAddress	string	Road-name address (도로명)
addressJibun	string	Legacy lot-number (지번) address
fullAddress	string	Full address including floor / unit, when present
latitude	number	Latitude
longitude	number	Longitude

Contact

Field	Type	Description
phone	string	Direct phone, falling back to Naver's 0507 virtual number
website	string	Homepage or booking URL, when listed

Ratings & Reviews

Field	Type	Description
rating	number	Overall visitor rating
reviewCount	integer	Total reviews (visitor + blog)
visitorReviewCount	integer	Visitor review count
blogReviewCount	integer	Blog / café review count
reviews	object[]	Inline review sample { author, rating, text, date }. Naver's search cards surface the review text; author, rating, and date are returned as null when the card doesn't carry them. Present when includeReviews is on

Hours, Amenities & Media

Field	Type	Description
businessHours	object	{ status, description } — current status and hours text
amenities	string[]	Characteristic keywords (parking, reservation, wheelchair access, etc.)
thumbnailUrl	string	Lead image URL
imageUrls	string[]	Small set of inline image URLs
tvAppearances	object[]	Korean TV / broadcast tags { program, channel, date, menu, episode } — the show a place featured on and any TV-highlighted dish. Empty for places with no broadcast history
menuItems	object[]	Inline menu sample { name, price, imageUrl }. Present when includeMenu is on

Tips for Best Results

• Search in Korean for the richest results — Naver is a Korea-focused service, so Korean keywords return more places and fuller detail than romanized terms.
• Use the 지역 + 업종 pattern — pair a district with a business type, like 강남 맛집 (Gangnam restaurants) or 홍대 카페 (Hongdae cafés), to get tightly relevant places.
• Paste a Naver Maps URL to reproduce an exact search — set up a search on the site, copy the URL into startUrls, and the run mirrors that exact result set, map area included.
• Toggle off reviews and menu for lean, fast runs — when you only need the place table (name, address, phone, coordinates), turn off includeReviews and includeMenu to slim each row.
• The result cap is per search — maxResults applies to each keyword or URL separately, so a run with three keywords and a cap of 50 returns up to 50 places for every keyword (about 150 total). Lower the cap if you only need a quick sample per term.
• Start with a small maxResults — try 50 first to confirm the data fits your needs, then raise the cap or set it to 0 to sweep everything.
• Hunt for TV-featured venues — tvAppearances flags places that have aired on Korean food and travel shows. Filter your output to non-empty tvAppearances to surface the "맛집 on TV" spots, a strong signal for popularity and footfall.
• Expect a few sparse fields — rating, menuItems, and tvAppearances only appear when Naver surfaces them on a place card, so some rows return them empty. This reflects the live listing, not a gap in collection.
• Both address forms travel together — if you join Naver data to a government or postal dataset, pick roadAddress for modern records or addressJibun for legacy lot-number records.

Pricing

From $1.30 per 1,000 results — among the lowest prices on Apify for Naver Maps place data, and below the going market rate. No compute or time-based charges — you pay per result, plus a small fixed per-run start fee. Bronze, Silver, and Gold subscribers pay progressively less; the table below shows total cost at each discount tier.

Results	No discount	Bronze	Silver	Gold
100	$0.16	$0.15	$0.14	$0.13
1,000	$1.55	$1.45	$1.40	$1.30
10,000	$15.50	$14.50	$14.00	$13.00
100,000	$155.00	$145.00	$140.00	$130.00

A "result" is any place row in the output dataset. Platform fees depend on your Apify plan.

Integrations

Export data in JSON, CSV, Excel, XML, or RSS. Connect to 1,500+ apps via:

• Zapier / Make / n8n — Workflow automation
• Google Sheets — Direct spreadsheet export
• Slack / Email — Notifications on new results
• Webhooks — Trigger custom APIs on run completion
• Apify API — Full programmatic access

Legal & Ethical Use

This actor is designed for legitimate market research, business intelligence, and lead generation. Users are responsible for complying with applicable laws and Naver's Terms of Service. Do not use extracted data for spam, harassment, or any illegal purpose, and handle any personal data (such as review content) in line with applicable privacy regulations.