Go to example tasks
Starbucks Myeongdong Naver Reviews Dataset
Created by
Stas Persiianenko
Collect public visitor reviews from the real Starbucks Myeongdong Jungang-ro Naver Place page with ratings, visit dates, keywords, and media links.
Naver Reviews Scraperautomation-lab/naver-place-business-reviews-scraper
Place
Rating
Review
Reviewer
+6 fieldsTextNumberBooleanListObject
Input
Naver Place URLs
url:https://m.place.naver.com/restaurant/36639957/review/visitor
Review order:recommended
Maximum reviews per place:10
Maximum total reviews:10
Output fields
Place
Rating
Review
Reviewer
Visit time
Keywords
Owner reply
Media
Naver Place
Scraped at
Sign up on Apify01
Create your Apify account to access the Naver Reviews Scraper.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
