Naver Product Detail Scraper: Price Monitor, Only Changes

Naver Product Detail Scraper - Track Naver Shopping prices and get only the products that are new or changed.

What does Naver Product Detail Scraper do?

onlyNew mode: a scheduled run returns just new or price-changed products and bills the small changed-result event only for those.

• Price, original price, discount, coupon price and seller per product
• Reviews, rating, purchases and wishlist count
• Specs (RAM, screen size...) and delivery info
• onlyNew returns only new or price-changed products
• Ads are flagged, missing values are null

Who uses Naver Product Detail Scraper, and for what

• Sellers - check competitor prices every morning
• Price comparison teams - feed a Korean product price table
• Analysts - spot discount changes on a schedule

Why this Naver Product Detail Scraper?

One-off keyword searches are easy to copy with a general assistant and bring no repeat use. This Naver Product Detail Scraper checks every run and tells you plainly when a page could not be read, instead of returning empty or wrong rows.

Data you get from Naver Product Detail Scraper

Every result is one flat row with these fields (values from a real run):

Field	Example
productId	91129863521
title	HyperX 오멘 16 발로란트 에디션 R7 RTX5060 24GB ap1064AX
priceKrw	2849000
originalPriceKrw	3244000
discountPercent	12
couponPriceKrw	2549000
sellerName	HP 브랜드 스토어
sellerUrl	https://smartstore.naver.com/inflow/outlink/url?url=https%3A...
brand	null
manufacturer	null
rating	4.96
reviewCount	25
purchaseCount	0
wishlistCount	172
categoryPath	50000003 > 50000151
deliveryFeeKrw	0
deliveryFeeType	FREE
fastDelivery	NONE
availability	in_stock
imageUrl	https://shopping-phinf.pstatic.net/main_9112986/91129863521....
imageUrls	["https://shopping-phinf.pstatic.net/main_9112986/9112986352...
productUrl	https://smartstore.naver.com/main/products/13585353109
channelProductId	13585353109
sellerId	ncp_1nygj2_01
sellerCount	null

How to use Naver Product Detail Scraper

1. Press Start - the form already holds an example that works.
2. Put in your own input (see the fields on the Input tab).
3. Run it once, or put it on an Apify Schedule (with only new on, where the form has it) to get just what is new every day; add a webhookUrl to get each run's rows sent to your own system, Zapier, Make or Slack.
4. Download the results as JSON, CSV or Excel, or send them to Google Sheets, Zapier, Make, the Apify API or an AI agent (Apify MCP server).

Input example

{
  "searchQueries": [
    "노트북"
  ],
  "maxResults": 5,
  "onlyNew": false,
  "useApifyProxy": true,
  "proxyGroups": [
    "RESIDENTIAL"
  ]
}

Output example (a real run)

[
  {
    "productId": "91129863521",
    "title": "HyperX 오멘 16 발로란트 에디션 R7 RTX5060 24GB ap1064AX",
    "priceKrw": 2849000,
    "originalPriceKrw": 3244000,
    "discountPercent": 12,
    "couponPriceKrw": 2549000,
    "sellerName": "HP 브랜드 스토어",
    "sellerUrl": "https://smartstore.naver.com/inflow/outlink/url?url=https%3A%2F%2Fsmartstore.naver.com%2Fabyz%3Ftr%3Dslsmn",
    "brand": null,
    "manufacturer": null,
    "rating": 4.96,
    "reviewCount": 25,
    "purchaseCount": 0,
    "wishlistCount": 172,
    "categoryPath": "50000003 > 50000151",
    "deliveryFeeKrw": 0,
    "deliveryFeeType": "FREE",
    "fastDelivery": "NONE",
    "availability": "in_stock",
    "imageUrl": "https://shopping-phinf.pstatic.net/main_9112986/91129863521.jpg",
    "imageUrls": [
      "https://shopping-phinf.pstatic.net/main_9112986/91129863521.jpg"
    ],
    "productUrl": "https://smartstore.naver.com/main/products/13585353109",
    "channelProductId": "13585353109",
    "sellerId": "ncp_1nygj2_01",
    "sellerCount": null,
    "cardType": "AD_CARD",
    "isAd": true,
    "isSmartStore": true,
    "isOverseas": false,
    "isBrandStore": false,
    "promotions": null,
    "specs": null,
    "rank": 2,
    "position": 1,
    "sourceUrl": "https://search.naver.com/search.naver?ssc=tab.shopping.all&query=laptop",
    "query": "laptop",
    "scrapedAt": "2026-10-31T11:30:40.360716+00:00",
    "changeType": "new"
  }
]

One flat row per result.

Built for pipelines

• Field names never change - fixes and new features only ever add fields, so your code keeps working.
• Every row has the same shape - a missing value is null, never a dropped field.
• A plain status line on every run - how many results, and on a problem what to change in the input - for your logs and for AI agents.
• Runs on its own - put it on an Apify Schedule and add a webhookUrl: each run's rows go straight to your system, Zapier, Make or Slack.

How much does Naver Product Detail Scraper cost?

You pay only per result (pay per event) - no monthly fee, no minimum, and the price per result is lower on Apify's Bronze, Silver and Gold plans. The exact price is on the Pricing tab. Apify's free plan credit is enough to try it on real input.

You want	What you pay for
A quick test with the example	a few results
A daily scheduled run	only the rows that run returns
A big one-off export	the results delivered - set a maximum in the input

Also searched as

• naver shopping scraper
• naver price monitor
• naver product scraper
• korea price tracker
• naver shopping api

FAQ

Does Naver Product Detail Scraper need a login, cookies or an API key? No. It reads public pages only.

Can I run Naver Product Detail Scraper on a schedule? Yes - with Apify Schedules; each run returns fresh rows.

Can I call it from Python, JavaScript or an AI agent? Yes - through the Apify API, the Apify client libraries or the Apify MCP server.

Is it legal? It collects only data anyone can see without logging in. You are responsible for using it within the source site's terms and data protection law (GDPR, CCPA).

What if the site blocks a request? The run retries from a fresh connection and, if it still cannot read the page, stops with a clear message - never with made-up rows.

Do I need proxies? No setup needed - Naver Product Detail Scraper uses Apify Proxy by default where the site needs it.

Troubleshooting

• No results: check the input (a public URL or a search term that returns results in a normal browser), then try the example input once.
• Fewer results than expected: raise the maximum in the input; some sites show only a part of their data without logging in, and Naver Product Detail Scraper never logs in.
• The run stopped with a message: the message says what the site answered; run it again later or with fewer items.

Your feedback

Missing a field, found a bug, or need another site? Open an issue on the Issues tab - issues are answered and fixed. If Naver Product Detail Scraper saved you time, a short review on this page helps others find it.

Data source: shopping.naver.com

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