Go to example tasks
Hongdae cafe reviews with photos from Naver
Created by
ParseBird
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.
NAVER Place Review Scraperparsebird/naver-place-review-scraper
Type
Place ID
Place
Category
+13 fieldsTextNumberBooleanListObject
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
Sign up on Apify01
Create your Apify account to access the NAVER Place Review 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.
