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Map every cafe in Hongdae with a Naver Map area sweep

Collects cafes inside a map rectangle around Hongik University, Seoul, splitting the area into cells to get past Naver's 300-results-per-search cap. Each place has coordinates, rating, review counts and address. Raise the limit or widen the box for a full district.

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Naver Map Places Scraper 네이버 지도 · Korean Business Data API
Naver Map Places Scraper 네이버 지도 · Korean Business Data APIclover_engineer/naver-map-places-enhanced
Name
Category
Latitude
Longitude
+2 fields
Text
Number
Boolean
List
Object

Input

Search queries:카페
Search area (map box, optional):126.918,37.552,126.928,37.558
Max places per query:100

Output fields

Name
Category
Latitude
Longitude
Address (lot-number)
Distance from center

How it works

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The Naver Map Places Scraper 네이버 지도 · Korean Business Data API Actor is ready to run with the inputs already set for "Map every cafe in Hongdae with a Naver Map area sweep". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Map every cafe in Hongdae with a Naver Map area sweep" task

The Naver Map Places Scraper 네이버 지도 · Korean Business Data API Actor will start running based on the input automatically. You can also change all the input fields, like search queries, search area (map box, optional), and more, to match your specific use case.

Receive the "Map every cafe in Hongdae with a Naver Map area sweep" 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 name, category, latitude, 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 "Map every cafe in Hongdae with a Naver Map area sweep" task via API.

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