Naver Place Rank Tracker — 네이버 플레이스 순위 체크 & Geo-Grid

Find out where a business ranks on Naver Place (네이버 플레이스 / 네이버 지도) for any keyword, as seen from any location in Korea. Track your own place and your competitors across many keywords, scan a geo-grid around a neighbourhood (like Local Falcon, but for Naver), and get a colour-coded rank heat-map report with every run. No login, no browser, no Naver API key.

🇰🇷 한국어 안내는 아래에 있습니다.

Why Naver Place rank matters

In Korea, local search happens on Naver, not Google. When someone searches 강남 피부과 (Gangnam dermatology) or 성수 카페 (Seongsu café), the Naver Place list decides which clinics, restaurants, salons and academies get the call. Agencies and owners check this rank every day — usually by hand, on a phone, from one spot.

This Actor does the same check automatically:

• 📍 Location-aware — Naver orders places by relevance and distance from the searcher. You choose where the search comes from.
• 🗺️ Geo-grid scan — check a 3×3, 5×5 or 7×7 grid of points around a location to see where you win and where you disappear.
• 🎯 Multiple places × multiple keywords in one run — your business and your competitors.
• 📢 Ad slots separated — organic rank and the paid Naver Place ad (플레이스 광고) slot are reported separately.
• 🏆 Who owns the area — every run also lists the places that rank best across the whole grid, with category and review counts.
• 📊 Summary + HTML heat-map — average rank, best/worst, % of points in the top 3 / 10 / 20.

⚡ Try it in 30 seconds

1. Click Try for free — the input is pre-filled with keyword 강남역 카페 and location Gangnam Station.
2. Click Start. With no place to track, you get the full top-100 ranking for that keyword (about 5 seconds).
3. Now add your business to Places to track (Naver Place ID, place URL, or part of the name), set Geo-grid size to 3, and run again.
4. Open Output → Rank report for the heat-map.

Example: one keyword, 3×3 grid

Keyword 카페 (café), 3×3 grid, 500 m spacing around Gangnam Station, tracking two cafés (run on 26 September 2026):

	Center rank	Average rank	Found at	In top 3
레뽀드라라 강남점	1	29.5	6 / 9 points	33%
퍼스트커피랩 강남점	100+	40.5	4 / 9 points	11%

The same café can be #1 at one grid point and missing from the top 100 five hundred metres away — which a single manual check from the office never shows.

Input

Field	What it does
keywords	Search keywords exactly as customers type them: 강남 피부과, 홍대 헤어샵, 성수 카페.
targetPlaces	Places to track: a Naver Place ID (1317157725), a place URL (https://m.place.naver.com/place/1317157725, https://map.naver.com/p/entry/place/1317157725) or part of the name (레뽀드라라). Leave empty to get the full top-100 list instead.
locations	Where the search is made from: latitude,longitude or label=latitude,longitude, e.g. 강남역=37.4979,127.0276. Default: Gangnam Station. Tip: right-click a spot in Google Maps to copy its coordinates.
gridSize	1 = only the location itself. 3 / 5 / 7 = a square grid of points around it.
gridSpacingMeters	Distance between grid points (default 500 m).
topResults	How many top competitors to attach to each rank row (default 3).
proxyConfiguration	The default Apify Proxy works. Switch to Korean residential only if you see blocking.

Each search is one keyword at one grid point, so a run makes keywords × locations × gridSize² searches. Example: 2 keywords × 1 location × 5×5 grid = 50 searches.

{
    "keywords": ["강남 피부과", "피부과"],
    "targetPlaces": ["https://m.place.naver.com/place/123456789", "경쟁병원"],
    "locations": ["강남역=37.4979,127.0276"],
    "gridSize": 5,
    "gridSpacingMeters": 400
}

Output

1. Rank rows (dataset)

One row per keyword × grid point × tracked place:

{
    "keyword": "카페",
    "location": "강남역",
    "latitude": 37.4979,
    "longitude": 127.0276,
    "gridRow": 2,
    "gridCol": 2,
    "isGridCenter": true,
    "totalResults": 246332,
    "scannedDepth": 100,
    "target": "레뽀드라라",
    "placeId": "1317157725",
    "placeName": "레뽀드라라 강남점",
    "found": true,
    "rank": 1,
    "rankText": "1",
    "adRank": null,
    "visitorReviewCount": 1661,
    "blogReviewCount": 1545,
    "topResults": [{ "rank": 1, "placeId": "1317157725", "name": "레뽀드라라 강남점", "category": "카페,디저트", "visitorReviewCount": 1661, "blogReviewCount": 1545, "distance": "380m" }],
    "placeUrl": "https://m.place.naver.com/place/1317157725",
    "checkedAt": "2026-09-26T14:25:24.035Z"
}

rank is null and rankText is "100+" when the place is not in the top 100. adRank is the place's position among the paid ad slots, if it is advertising.

With no tracked places, the dataset instead holds the full organic ranking — one row per place with rank, name, category, visitor and blog review counts, address, phone, distance, URL and whether it also runs an ad.

2. Summary (key-value store SUMMARY)

Per keyword × location: for each tracked place the center rank, best / worst rank, average rank (where found), average rank counting "not found" as 101, share of points in the top 3 / 10 / 20, and the full rank grid (top row = north). Plus a leaders list: the 10 places with the best average rank across the grid.

3. Rank report (key-value store REPORT)

A self-contained HTML page with a colour-coded grid per tracked place and the leaders table — ready to screenshot for a client report.

💰 Pricing: $0.003 per search

You pay $0.003 per search — one keyword checked at one location / grid point — no matter how many places you track in it or whether you take the full top-100 list. Failed searches are free.

Run	Searches	Cost
1 keyword, 1 location	1	$0.003
10 keywords, 1 location, every weekday for a month	220	$0.66
3 keywords, 5×5 grid	75	$0.23
5 keywords, 7×7 grid	245	$0.74

Set Maximum cost per run in the run options and the Actor stops cleanly when it is reached.

Good to know

• Depth: top 100. Places below rank 100 are reported as 100+.
• Keywords with a place name ignore the grid. For 압구정 영어학원 Naver anchors the results to 압구정 no matter where you search from, so every grid point returns the same rank. Use the grid with keywords without a place name (영어학원, 피부과, 카페) to see real neighbourhood differences.
• Ranks move. Naver's order shifts by time of day and small location changes; a rank that moves 2–3 places between runs is normal. Compare trends, not single checks.
• Results match the mobile Naver Place list without personalisation (no login).
• Name matching is a substring match ignoring spaces; if a chain has several branches, use the place ID or URL. In the summary, a name is locked to the branch it matched most often.

Use cases

• Marketing agencies — daily or weekly rank reports for every client and keyword; schedule the Actor and send the heat-map.
• Business owners — see the radius where your clinic, restaurant or academy is actually visible.
• Competitor research — who owns 강남 피부과 across Gangnam, and how many reviews they have.
• Before/after measurement — check the grid before and after a review campaign or a place-info update.

Scheduling

Create a task with your input and add an Apify Schedule (e.g. every weekday at 11:00 KST). Each run adds dated rows, so you can export the dataset to Google Sheets or connect it through the API / Make / Zapier and chart rank over time.

한국어 안내

네이버 플레이스 순위 체크 & 지오그리드. 키워드 여러 개 × 업체 여러 곳의 네이버 플레이스(지도) 순위를 원하는 위치 기준으로 자동 조회합니다.

• 추적할 업체: 플레이스 ID, 플레이스 URL, 업체명 일부 중 아무거나. 비워 두면 키워드별 상위 100개 전체 목록이 나옵니다.
• 검색 위치: 라벨=위도,경도 (예: 강남역=37.4979,127.0276). 네이버는 검색하는 위치에 따라 순위가 달라집니다.
• 지오그리드: 3×3 / 5×5 / 7×7 지점에서 동시에 조회해 동네별로 어디서 상위 노출되는지 보여 줍니다. 단, 압구정 영어학원처럼 지역명이 들어간 키워드는 위치와 상관없이 같은 순위가 나오므로, 그리드는 영어학원, 피부과처럼 지역명 없는 키워드에 쓰세요.
• 결과물: 순위 데이터(자연 순위·광고 순위·리뷰 수·상위 경쟁 업체), 요약(평균 순위·Top3/10/20 비율), 색상 히트맵 HTML 보고서.
• 범위: 상위 100위까지 조회하며, 100위 밖은 100+로 표시됩니다.
• 가격: 검색 1건(키워드 1개 × 지점 1곳)당 $0.003. 추적 업체 수와 무관하며, 실패한 검색은 무료입니다.
• 대행사라면 스케줄을 걸어 매일·매주 클라이언트 순위 보고서를 자동으로 받을 수 있습니다.

More Korean data Actors by me

• Olive Young Scraper — K-beauty product search with prices, ratings and review counts.
• Olive Young Reviews Scraper — K-beauty customer reviews with skin type/tone/concern profiles and repurchase flags.
• Daiso Korea Scraper — Daiso products with real total units sold, prices and reviews.
• Musinsa Scraper — K-fashion search, official best-seller rankings and size-fit reviews with reviewer height/weight.

FAQ

Do I need a Naver account or API key? No.

Is this the same rank I see on my phone? It is the same mobile Naver Place list for that keyword and location, without login personalisation. Small differences between runs are normal.

How do I find a place ID? Open the place in Naver Map; the number in the URL (/place/1317157725) is the ID. You can also paste the whole URL.

Found a problem or need another Naver data point? Open an issue on the Issues tab.