Naver Map Scraper

What Naver Map Scraper $1💰 Places, Menus, Reviews can do

• 50+ fields per place. GPS coordinates, place id, road and lot addresses, virtual phone, facilities, payment options, transit stops, photos, and both review types.
• Two ways to find places. Search by keyword, or paste a Naver Map place or search URL, including short naver.me links.
• Optional full place-page enrichment. Menus, opening hours, facilities, payment methods, and nearby subway and bus stops, added with one extra request per place.
• Two kinds of reviews. Visitor star reviews (rating, text, author, visit date, photos, keyword tags) collected on demand, and blog reviews that arrive with the place details at no extra request.
• Built for monitoring. Incremental mode remembers a saved search across scheduled runs and tags every place as new, updated or unchanged, so a recurring run only bills for what changed.
• Full Korean text support. Keywords, names, addresses, menus and reviews are read and returned in Korean without any special configuration.

Choose what to collect

These inputs let you configure Naver Map Scraper $1💰 Places, Menus, Reviews. Open the actor on Apify to enter your values and review the current options.

Fields in the output

The documented dataset includes the fields below. Availability can depend on the source page and selected mode.

Example output

An example from this actor’s documentation. Values are illustrative; this is not a fresh live result.

{
  "recordType": "place",
  "id": "11724463",
  "placeId": "11724463",
  "name": "Sample Dumpling House",
  "category": "Korean restaurant",
  "businessCategory": "restaurant",
  "placeUrl": "https://map.naver.com/p/entry/place/11724463",
  "latitude": 37.5,
  "longitude": 127,
  "distance": null,
  "phone": "02-000-0000",
  "virtualPhone": "0507-0000-0000",
  "address": "Sample-dong 000-0",
  "roadAddress": "Sample-ro 000",
  "fullAddress": "Seoul Sample-gu Sample-dong 000-0",
  "visitorReviewScore": 4.4,
  "visitorReviewCount": 128,
  "totalReviewCount": 340,
  "blogCafeReviewCount": 212,
  "imageUrls": [
    "https://example.com/photo-000.jpg"
  ],
  "conveniences": [
    "Parking",
    "Wi-Fi"
  ],
  "paymentInfo": [
    "Card",
    "Mobile pay"
  ],
  "openingHours": {
    "status": "Open",
    "description": "11:00 - 21:00"
  },
  "menus": [
    {
      "name": "Sample Menu",
      "price": "8000",
      "recommend": false,
      "images": []
    }
  ],
  "subwayStations": [
    {
      "displayName": "Sample Station",
      "nearestExit": "3",
      "walkTime": 2,
      "walkingDistance": 130
    }
  ],
  "busStations": [
    {
      "name": "Sample Stop",
      "walkTime": 1,
      "walkingDistance": 20
    }
  ],
  "topPhotos": [
    "https://example.com/photo-001.jpg"
  ],
  "blogReviews": [
    {
      "title": "Sample blog title",
      "url": "https://example.com/blog/000",
      "authorName": "blogger000"
    }
  ],
  "visitorReviews": [
    {
      "rating": 5,
      "body": "Sample review text",
      "authorNickname": "user000",
      "visited": "0.0"
    }
  ],
  "searchKeyword": "만두집"
}

Ways to use this data

• Local SEO and business audits: pull ratings, review counts, categories and contact details for every business matching a keyword or area.
• Sales and lead generation: build prospect lists of local businesses with phone numbers, addresses and review volume.
• Food delivery and dining apps: collect restaurant and cafe details, menus and opening hours for a city or neighborhood.
• Competitive and market research: track how a chain's locations, ratings and reviews change over time with Incremental mode.
• Real estate and travel planning: gather nearby points of interest, transit access and photos for a given area.

Before you run

Start with a small input and check the resulting records against your expected fields. Source content and actor options can change; the current Apify listing is the reference for availability and pricing.

Questions about this actor