Naver Map Search Results Scraper

What does Naver Map Search Results Scraper do?

Naver Map Search Results Scraper extracts business listings from Naver Map — South Korea's most-used map and local search platform. Type any keyword, exactly as you would search on Naver, and get clean, structured data for every matching place: restaurants, cafés, hospitals, hotels, salons, shops and more.

It works as an unofficial Naver Place / Naver Map API alternative, so you can pull Korean local business data at scale without writing a scraper or reverse-engineering Naver's private API.

Why use Naver Map Search Results Scraper?

• 🔎 Keyword search, just like Naver — search "강남 맛집", "부산 애견 펜션" or any brand name and get every result.
• ⭐ Rich data in one run — ratings, review counts, review keywords, menus with prices, photos, coordinates, business hours, and more.
• ⚡ Fast & low cost — a list-first design pulls up to 70 places per request; place details are fetched in parallel. Turn details off for even faster, cheaper runs.
• 🧩 Every business type — restaurants, cafés, hospitals/clinics, accommodations and general places are all supported automatically.
• 🧑‍💻 No-code and API-friendly — run it from the Apify Console or call it from your own code; export to JSON, CSV, Excel or via API.

How this Actor compares

Feature	This Actor	Typical alternatives
Pricing	$1.50 / 1,000 results	$3.00 / 1,000 results
Method	Direct API (list-first)	Browser-based (slower)
Rating + review keywords	✅	Often missing
Menus, photos, coordinates	✅	Partial
Cheap list-only mode	✅	❌

What data can you extract from Naver Map?

Field	Type	Description
Name	text	Business name
Category	text	Naver category (e.g. 돼지고기구이)
OverallRating	text	Visitor review score (0–5), when Naver publishes one
ReviewCount	number	Total reviews (visitor + blog)
VisitorReviewCount / BlogReviewCount	number	Review counts by source
SaveCount	text	How many users saved/bookmarked the place (popularity)
PriceRange	text	Naver price band (e.g. 5만원 대)
Address / FullAddress	text	Road address and full address
Contact	text	Phone number
BusinessStatus / BusinessHours	text	Open/closed status and summary hours
BusinessHoursDetail	array	Structured weekly opening hours with break times
Latitude / Longitude	text	GPS coordinates
Images / ImageCount	array / number	Photo URLs and photo count
PlaceId / NaverMapUrl	text / link	Naver place ID and a ready-to-open map link
BookingUrl	link	Naver reservation link (when available)
Coupons	array	Discount coupons (title + description)
MenuItems	array	Menu names, prices and images
Reviews	array	Blog reviews (author, title, body)
VisitorReviews	array	Visitor review text (restaurants & cafés)
VisitorReviewKeywords	array	Review theme keywords with counts (e.g. 맛: 826)
Keywords	array	Business keywords
SubwayStations / NearbyTransportation	array / text	Nearest stations and walking distance
Website / Amenities / PaymentInfo	link / text / array	Homepage, facilities and payment methods
MichelinGuide / TVAppearance / BroadcastInfo	object / text / array	Michelin status and TV appearances
Description	text	Full place description

How to scrape Naver Map

1. Open the Actor on Apify and click Try for free.
2. Enter keywords — add one or more search terms (include a region for local searches, e.g. 강남 맛집).
3. Choose options (optional) — set a max results per keyword, or turn off Scrape full place details for faster, cheaper runs.
4. Click Start — the Actor searches Naver Map and collects every matching place.
5. Download results — export as JSON, CSV, Excel, XML or via the Apify API.

How much does it cost?

This Actor uses pay-per-result pricing at $1.50 per 1,000 results — you only pay for the data you collect. New Apify accounts include monthly free usage credits, so you can try it at no cost.

Because it talks to Naver's data API directly (instead of driving a full browser), runtime is low and predictable. Running with Scrape full place details turned off is the cheapest and fastest option when you only need the core listing data.

Input

Configure the run on the Input tab, or pass JSON via the API:

Input	Type	Default	Description
keywords	array	—	Search terms, as typed on Naver Map
urls	array	—	Scrape specific places by full URL or naver.me short link (place ID auto-extracted)
scrapePlaceDetails	boolean	true	Add menus, reviews, website, amenities, keywords, full hours and transit. Turn off for faster, cheaper keyword runs
maxResultsPerKeyword	integer	all	Max places per keyword (Naver returns up to 300)

Provide keywords, urls, or both.

{
  "keywords": ["강남 맛집", "만두집"],
  "urls": ["https://map.naver.com/p/entry/place/11724463", "https://naver.me/xxxxxxxx"],
  "scrapePlaceDetails": true,
  "maxResultsPerKeyword": 100
}

Output

Each place becomes one dataset item. Real example (some long fields trimmed with ...):

{
  "Name": "냉325",
  "Category": "돼지고기구이",
  "BusinessCategory": "restaurant",
  "OverallRating": "4.85",
  "ReviewCount": 1416,
  "VisitorReviewCount": 1125,
  "BlogReviewCount": 291,
  "PriceRange": "5만원 대",
  "Address": "언주로81길 8 1층 2호",
  "Contact": "0507-1310-0468",
  "BusinessStatus": "영업 종료",
  "BusinessHours": "영업 종료 11:00에 영업 시작",
  "Latitude": "37.5003443",
  "Longitude": "127.0428175",
  "Images": ["https://ldb-phinf.pstatic.net/.../DSC02789.jpg", "..."],
  "PlaceId": "2065894706",
  "NaverMapUrl": "https://map.naver.com/p/entry/place/2065894706",
  "MichelinGuide": {},                       // Michelin data; empty {} if not listed
  "NearbyTransportation": "역삼역 1번 출구에서 667m",
  "SubwayStations": [
    { "name": "역삼역", "exit": "1", "walkTime": 10, "walkingDistance": 667 }
  ],
  "Website": "https://www.instagram.com/naeng325_seoul",
  "Amenities": "단체 이용 가능,예약,무선 인터넷",
  "PaymentInfo": ["지역화폐 (카드형)", "고유가 피해지원금 (신용·체크카드)"],
  "Keywords": ["역삼역육회", "제육볶음쌈밥", "선릉역한식모임단체회식"],
  "TVAppearance": "",                        // Empty "" if the place has no TV appearances
  "BroadcastInfo": [],                       // TV broadcast details; empty [] if none
  "MenuItems": [
    { "name": "냉삼만 세트 [2~3인 추천]", "price": "49000", "images": ["https://.../DSC02782.jpg"] }
  ],
  "Reviews": [
    { "Name": "비밀정원", "Author": "초록새록", "Date": "4일 전",
      "ReviewTitle": "역삼동 동네 고깃집 냉325, 넉넉한 세트 솔직 후기!", "Content": "안녕하세요! ..." }
  ],
  "VisitorReviewKeywords": [
    { "label": "맛", "count": 826 }, { "label": "만족도", "count": 541 }
  ],
  "Description": "강남에서 이 가격에, 이 퀄리티가 진짜 가능하다고? ...",
  "SearchKeyword": "강남 맛집"
}

Tips

• Add a region to your keyword for local searches (e.g. 부산 애견 펜션) — results are ranked exactly as on Naver Map.
• Naver returns up to ~300 results per keyword. To gather more, split a broad search into several narrower keywords (by district, neighborhood or category).
• OverallRating can be empty. Naver no longer publishes a numeric score for every place; when a score exists, it is included. Review counts are always provided.
• Detail-only fields (menus, blog reviews, website, amenities, keywords, transit, description) are filled in only when Scrape full place details is on.
• Schedule runs to keep your local business dataset fresh, or connect the output to Google Sheets, Make, Zapier and other Apify integrations.

FAQ and support

Which business types are supported? Restaurants, cafés, hospitals/clinics, accommodations (pensions/hotels) and general places — the Actor detects the type automatically from your keyword.

Can I use direct Naver place URLs? Yes. Paste full place URLs (https://map.naver.com/p/entry/place/...) or naver.me short links into the Place URLs input — the place ID is extracted automatically. You can use keywords, URLs, or both.

Is scraping Naver Map legal? This Actor collects only publicly available business information. Please review the disclaimer below.

Our Actors are ethical and do not extract any private user data, such as email addresses, gender, or location. They only extract what the business has chosen to share publicly. We therefore believe that our Actors, when used for ethical purposes by Apify users, are safe. However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

Need help or have a feature request? Reach out via Apify support or leave feedback on the Actor's page.