Category managers
Price checks
Pull product names, sellers, prices, shipping fees, and category labels for a target query before refreshing assortment strategy or negotiating with suppliers.
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This Naver Shopping scraper turns keyword result pages from Naver Shopping and SmartStore into a structured CSV. It is built for product research teams that need product names, sellers, prices, delivery fees, categories, URLs, images, points, and the source search keyword without rebuilding a browser automation from scratch.
CSV
11
1-5
Naver Shopping
Free import
At a glance
Naver is a high-value commerce source for Korean marketplace research, but the Naver Shopping website is not shaped like a simple table. This template handles the repetitive browser work: Navigate to known keyword result pages, wait for the page to settle, scroll and inspect product data, then write a structured export.
Use it when you need a fast baseline for assortment checks, price sampling, seller discovery, or SmartStore competitive tracking. It is not a replacement for Naver's official APIs where those APIs fit your use case; it is a practical browser workflow for teams that need visible listing data in a spreadsheet.
Keyword-led product discovery
Start from a Naver Shopping search URL and collect the product rows that appear for that query, including the original search_keyword for later grouping.
Price and delivery context
Export price, delivery fee, points, category path, and seller fields so analysts can compare offers without hand-copying Korean listing cards.
Product URL and image capture
Keep the product link and image URL beside each row, which makes QA, enrichment, and manual review much easier after export.
Local desktop custody
The browser run and CSV file stay under your control. Nothing in the workflow sends exported product data to UScraper infrastructure.
Who uses it
Category managers
Price checks
Pull product names, sellers, prices, shipping fees, and category labels for a target query before refreshing assortment strategy or negotiating with suppliers.
Agencies and brand teams
Competitive scans
Track which SmartStore sellers appear for commercial Korean keywords, then use the exported URLs and images to review listings without opening every result manually.
Data operators
CSV handoff
Hand a stable spreadsheet to analysts, translators, or BI users instead of asking them to operate browser developer tools or maintain fragile selectors.
How to use
Download and import
Download the template JSON from the hosted Naver Shopping SmartStore template, then import it into UScraper.
Review the keyword URLs
The Navigate block contains five Naver Shopping search URLs with pagingIndex=1 through pagingIndex=5. Replace the encoded query if you want a different product category.
Keep the waits conservative
The workflow sets a large browser viewport, waits for page load, waits for body, then sleeps before extraction. Keep those waits when testing new keywords.
Normalize product rows
The JavaScript block reads __NEXT_DATA__ when available, falls back to visible product cards, and writes hidden export rows for the Structured Export block.
Export the CSV
Structured Export appends rows to naver-shopping-product-list-scraper.csv with headers enabled, then Loop Continue moves to the next paged URL.
Output preview
naver-shopping-product-list-scraper.csvColumn
product_name
Listing title or product name normalized from page data.
Column
seller
Store, mall, channel, or SmartStore seller name when exposed.
Column
price
Numeric product price with currency symbols removed.
Column
delivery_fee
Numeric shipping fee; free delivery is normalized to 0.
Column
category
Category path such as living, pets, and snack subcategories.
Column
detail
Spec, attribute, brand, maker, model, or description text.
Column
registered_date
Registration or open date when Naver exposes it.
Column
points
Points from Naver data, or a calculated fallback when price is present.
Column
title_url
Product or SmartStore listing URL.
Column
photo
Product image or thumbnail URL.
Column
search_keyword
Keyword used for the search page.
Sample rows
2 of many
| product_name | seller | price | delivery_fee | category | detail | registered_date | points | title_url | photo | search_keyword |
|---|---|---|---|---|---|---|---|---|---|---|
| 강아지 수제 간식 네츄럴코어 천연닭&오리가슴살 360g | 개밥의신 | 9900 | 2500 | 생활/건강 > 반려동물 > 강아지 간식 > 수제간식 | 주원료: 닭,오리; 기능: 영양공급 | 2018-02-21 22:57:06 | 99 | 강아지 간식 | ||
| 테비사사미 강아지간식 치킨꽈배기 1kg 대용량 애견간식 | 두리펫 | 9700 | 3000 | 생활/건강 > 반려동물 > 강아지 간식 > 육포/건조간식 | 기능: 식욕증진, 스트레스완화 | 2022-11-08 17:41:25 | 97 | 강아지 간식 |
For broader marketplace coverage, pair this template with the Yahoo Shopping Scraper by Keywords, Rakuten Product Listing Scraper, and Ohouse Shopping List Scraper. You can also browse the full UScraper template library or install the desktop client from uscraper.io/download.
Scraping public product listings can still be limited by Naver terms, robots rules, copyright, privacy laws, and local regulations. Use modest volumes, avoid bypassing access controls, do not collect personal data you do not need, and get legal review before using the CSV for commercial resale or large-scale monitoring.
Before you run
Practical guardrails for reliable Naver exports
Run slowly and avoid parallel batches
Naver can throttle automated browsing or return error pages. Start with one keyword, keep the bundled waits, and increase pauses if you see blank exports or verification screens.
Expect selector drift on commerce pages
The template reads both page data and visible cards, but Naver can change class names and data shapes. Empty rows are the signal to inspect the page and refresh the extraction logic.
Respect Naver rules and seller data rights
Keep collection narrow, document your purpose, and avoid redistributing product text or images where rights are unclear. Local scraping gives you custody; it does not remove compliance obligations.
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