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Naver Shopping Product Research Dataset by Keyword
Created by
ВAH
Build a research dataset from Naver Shopping. Enter an English keyword like 'skincare serum' and this task returns 27 fields per product — productName, originalPrice, discountedPrice, discountRate, sellerName, isBrandStore, averageRating, totalReviews and status flags — across as many pages as you set (here 4, ~200 products). Export to CSV or JSON for market and pricing analysis.
Naver Shopping Product Scraperdelicious_zebu/naver-shopping-product-scraper
Ad Status
Product Name
Product ID
Product Link
+23 fieldsTextNumberBooleanListObject
Input
Search Keyword(required):skincare serum
Maximum Crawl Pages:4
Output fields
Ad Status
Product Name
Product ID
Product Link
Product Image
Seller Name
Seller Link
Seller ID
Brand Store
Original Price
Discounted Price
Discount Rate
Shipping Fee
Average Rating
Total Reviews
Stock Availability
Order Cutoff Time
Authentication Type
Naver Pay Seller ID
New Product
Group Product
Fresh Product
Overseas Product
Gift Included
Super Points Product
Search Keyword
Crawled At
Sign up on Apify01
Create your Apify account to access the Naver Shopping Product 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.
