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Scrape Naver Map Place Reviews & Keyword Tags
Created by
ВAH
Pull the customer voice behind Hongdae's bars from Naver Map (local places, not shopping products). From the keyword 홍대 술집 this task returns the rawResults view with Reviews, VisitorReviewKeywords (Naver's native tags), Rating, ReviewCount, Category, FullAddress and NaverMapUrl for each venue. Place details on, capped at 50. Feed the text and keyword tags into VOC and sentiment pipelines.
Naver Map Search Results Scraperdelicious_zebu/naver-map-search-results-scraper
Name
Category
Business Category
Overall Rating
+34 fieldsTextNumberBooleanListObject
Input
Search keywords:홍대 술집
Scrape full place details:true
Max results per keyword:50
Output fields
Name
Category
Business Category
Overall Rating
Review Count
Visitor Reviews
Blog Reviews
Save Count
Price Range
Address
Full Address
Contact
Business Status
Business Hours
Business Hours (weekly)
Latitude
Longitude
Images
Image Count
Place ID
Naver Map URL
Booking URL
Coupons
Michelin Guide
Nearby Transportation
Subway Stations
Website
Amenities
Payment Info
Keywords
TV Appearance
Broadcast Info
Menu Items
Blog Reviews
Visitor Reviews
Visitor Review Keywords
Description
Search Keyword
Sign up on Apify01
Create your Apify account to access the Naver Map Search Results 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.
