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네이버 플레이스 리뷰 분석 — 불만 유형·답글 대기

리뷰 분석 AI — 내 가게의 네이버 플레이스 링크를 넣으면 최신 방문자 리뷰를 모아 불만 유형(맛·위생·서비스·대기 등), 감성, 사장님 답글이 필요한 리뷰를 보여줍니다. 리뷰 수집은 별도 스크래퍼가 내 Apify 계정에 따로 청구합니다.

Try for free
Naver Place Review Classifier — complaints & sponsors · $0.5/1k
Naver Place Review Classifier — complaints & sponsors · $0.5/1kleoworks/naver-place-review-classifier
Place
Address
Stars
Date
+16 fields
Text
Number
Boolean
List
Object

Input

Places (collect the reviews for me) — Naver place URL or ID:https://map.naver.com/p/entry/place/1818558157
Reviews per place:30

Output fields

Place
Address
Stars
Date
Complaints
Type
Sponsorship (blog)
Disclosure wording
Serious issue
Sentiment
Needs reply
Unanswered
Your labels
Review
Link
Category
Review id
Place id
Index
Error

How it works

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The Naver Place Review Classifier — complaints & sponsors · $0.5/1k Actor is ready to run with the inputs already set for "네이버 플레이스 리뷰 분석 — 불만 유형·답글 대기". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "네이버 플레이스 리뷰 분석 — 불만 유형·답글 대기" task

The Naver Place Review Classifier — complaints & sponsors · $0.5/1k Actor will start running based on the input automatically. You can also change all the input fields, like places (collect the reviews for me) — naver place url or id and reviews per place, to match your specific use case.

Receive the "네이버 플레이스 리뷰 분석 — 불만 유형·답글 대기" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as place, address, stars, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "네이버 플레이스 리뷰 분석 — 불만 유형·답글 대기" task via API.

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