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Hongdae cafe reviews with photos from Naver

Searches Naver Place for 홍대 카페 (Hongdae cafes), takes the top 5 places, and pulls up to 5 pages (~250) of visitor reviews per cafe, including attached review photo URLs and rating statistics. Blog reviews are skipped. Change searchKeywords for any neighborhood or cafe style.

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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:홍대 카페
Max places per keyword:5
Max review pages:5
Include review photos: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 "Hongdae cafe reviews with photos from Naver". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Hongdae cafe reviews with photos from Naver" 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 "Hongdae cafe reviews with photos from Naver" 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 "Hongdae cafe reviews with photos from Naver" task via API.

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