Naver Map Places Scraper — Business Details & Review Stats

Extract business places from Naver Map — Korea's dominant map and local-search platform. Get names, categories, addresses, phone numbers, coordinates, review counts, ratings, and amenities for any keyword. No login, no cookies, no Naver account needed.

Why this actor

• Local lead generation — pull every cafe, restaurant, clinic, or gym in a district with phone numbers included
• Market research — compare review counts and ratings across areas or categories
• Location data — clean coordinates and full addresses for mapping and analysis
• No friction — the official Naver APIs require Korean phone verification; this actor needs nothing

Features

• Up to 100 places per keyword with full details (coordinates, review counts, ratings, amenities) — or up to 1,000 places with GraphQL pagination (basic fields: name, phone, address)
• Ordered by Naver's search ranking (position field included)
• Review statistics: visitor review count, average score, total reviews
• Full address, phone (including virtual numbers), coordinates (x/y)
• Photo counts and amenity/facility lists
• Deduplicated by place id

Scaling up

One run returns up to 100 places per keyword (full data) or up to 1,000 with max_items. To cover more ground, fan out across keyword × district combinations — each run targets a specific area + category:

Run	Keyword	District
1	강남 카페	Gangnam cafes
2	홍대 카페	Hongdae cafes
3	신촌 카페	Sinchon cafes
4	부산 피부과	Busan dermatology

Set up a scheduled task to run weekly — Naver review counts and ratings change frequently, so periodic snapshots let you track reputation trends over time.

Input

Field	Type	Description
keyword	string (required)	Search keyword. Combine area + category for best results, e.g. 강남 카페
max_items	integer	Total places to return. First 100 come with full details (address, phone, coordinates, review counts, ratings, amenities); beyond 100, places have basic fields (name, phone, address) via GraphQL pagination. Default 100, max 1,000.
proxyConfiguration	object	Optional Apify proxy settings (defaults to residential on platform)

Example input:

{"keyword": "강남 카페", "max_items": 100}

Tip: Korean keywords with an area name return the richest results — 홍대 맛집 (Hongdae restaurants), 부산 피부과 (Busan dermatology clinics), 판교 헬스장 (Pangyo gyms).

Output

One dataset item per place. Items 1–100 (SSR tier) include all fields; items 101+ (GraphQL tier) have basic fields with nulls for coordinates, review counts, and amenities.

{
  "position": 1,
  "name": "티하우스 청담",
  "url": "https://map.naver.com/place/1183810461",
  "category": "카페,디저트",
  "address": "서울특별시 강남구 삼성동 57-11 1층 티하우스 청담",
  "phone": "0507-1345-2486",
  "x": 127.0546356,
  "y": 37.5189217,
  "visitor_review_count": 1164,
  "visitor_review_score": 4.67,
  "total_review_count": 867,
  "image_count": 15,
  "options": "무선 인터넷,단체 이용 가능,포장,배달,제로페이,간편결제,주차",
  "place_id": "1183810461"
}

Field	Type	Description
position	integer	Global rank across all results, starting at 1
name	string	Business name as shown
url	string	Place detail link https://map.naver.com/place/{place_id}
category	string	Display category (null for GraphQL-tier items beyond 100)
address	string	Full street address
phone	string	Phone number (real or virtual 0507-...)
x	float	Longitude (null for items beyond 100)
y	float	Latitude (null for items beyond 100)
visitor_review_count	integer	Number of visitor reviews (null for items beyond 100)
visitor_review_score	float	Average visitor rating (null for items beyond 100)
total_review_count	integer	Total review count (null for items beyond 100)
image_count	integer	Number of place photos (null for items beyond 100)
options	string	Amenities/facilities as shown (null for items beyond 100)
place_id	string	Naver place identifier

Pricing

Pay-per-result: $3.00 per 1,000 places ($2.10/1k on Apify paid plans) (plus a small actor-start fee). You only pay for places actually delivered to the dataset.