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Visitor reviews for Gangnam BBQ restaurants

Searches Naver Place for 강남 고기집 (Gangnam BBQ restaurants), takes the top 5 matching places, and pulls up to 5 pages (~250) of newest visitor reviews per place plus rating-distribution statistics. Blog reviews are skipped for a faster run. Change searchKeywords to any Korean place-search phrase.

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NAVER Place Review Scraper
NAVER Place Review Scraperparsebird/naver-place-review-scraper
Type
Place ID
Place
Category
+13 fields
Text
Number
Boolean
List
Object

Input

Search keywords:강남 고기집
Max places per keyword:5
Max review pages:5
Review sort order:NEWEST
Include review statistics:true

Output fields

Type
Place ID
Place
Category
Place Rating
Review
Rating
Reviewer
Review Date
Visit Date
Voted Keywords
Blog Title
Blog URL
Blogger
Blog Date
Place URL
Scraped At

How it works

Sign up on Apify or log in

The NAVER Place Review Scraper Actor is ready to run with the inputs already set for "Visitor reviews for Gangnam BBQ restaurants". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Visitor reviews for Gangnam BBQ restaurants" task

The NAVER Place Review Scraper Actor will start running based on the input automatically. You can also change all the input fields, like search keywords, max places per keyword, and more, to match your specific use case.

Receive the "Visitor reviews for Gangnam BBQ restaurants" 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 type, place id, place, 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 "Visitor reviews for Gangnam BBQ restaurants" task via API.

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