Naver Shopping Crawling Tool
Naver Shopping Crawling Tool
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Extract product data from Naver Shopping search results and compare prices, ratings, and sellers with less manual work.
Chrome Store Rating
PRODUCT HUNT#1 Product of the Week
Scrape Naver Shopping Data FastUse Thunderbit to collect product titles, prices, ratings, and seller details from Naver Shopping search pages with simple, no code scraping.
Install fromChrome Web Store
Scrape Naver Shopping Data Fast
Need to track products, prices, and sellers across Naver Shopping? Thunderbit scrapes search results and subpages, then structures key fields for quick analysis.
It can also process PDFs, docs, and images, summarize or categorize extracted data, and export everything to Google Sheets, Airtable, or Notion.
How to Crawl Naver Shopping Using Thunderbit
STEP 1Download and InstallDownload and install the Thunderbit Chrome Extension from the Thunderbit Chrome Extension Download Page. Once installed, log in or create a free account to get started.
STEP 2Open ExtensionGo to Naver Shopping and open the search results page you want to crawl. In the Thunderbit Chrome Extension, choose the Naver Shopping Crawling Tool and paste a Naver Shopping search URL into the Enter a URL field.
STEP 3Click the Crawl Naver Shopping ButtonClick the Crawl Naver Shopping button. Thunderbit will scan the search results page and return a structured table with product name, price, rating, number of reviews, seller name, and product URL. You can review the results on the page and export them as a CSV or Excel file.
Learn how to crawl Naver Shopping product data
Extract Product Listings from Naver Shopping
The Naver Shopping Crawling Tool pulls product data from Naver Shopping search result pages and turns it into a structured table. It can capture product names, prices, ratings, review counts, seller names, and product URLs without manual copy and paste. This is useful for ecommerce teams, analysts, and researchers who need fast access to marketplace data for comparison and reporting.
Collect Clean Product Fields for Analysis
The tool organizes each product into clear columns so you can work with the data right away. Instead of sorting through messy search results, you get consistent fields for price, rating, reviews, and seller details. This helps teams compare products more accurately, track trends, and reduce errors when reviewing large sets of shopping results.
Support Price Comparison and Market Research
Use the exported table to compare competitors, study pricing patterns, and monitor product positioning on Naver Shopping. The output can be viewed on the page or downloaded as CSV or Excel, which makes it easy to share with teammates or move into spreadsheets for further analysis. It is a practical fit for ecommerce operations and research workflows.
Track Inventory and Seller Performance
The structured results also help teams monitor seller activity and product availability over time. By checking product links, prices, ratings, and review volume in one place, you can spot changes in the market and follow inventory related signals more efficiently. This is especially useful for brands, distributors, and operations teams that need ongoing visibility into shopping results.
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What users say about Thunderbit
Taryn W.Growth Strategist@Thunderbit changed how I run competitor research. I click 'AI Suggest Fields,' and it builds a clean table across paginated results—no coding, no CSS. Huge time-saver when analyzing product data from long-tail marketplaces.
Miles T.Sales Development ConsultantI use Thunderbit to grab emails and phone numbers from directories. It extracts clean contact info in one click, and exporting to Sheets or Notion takes seconds. No extra setup, no coding—just usable data ready to work with.
Rhea C.E-commerce AnalystThunderbit helps me monitor SKU data across multiple pages. I scrape the listings, then use Subpage Scraping to pull full product specs, pricing, reviews, and stock. The AI organizes everything into columns I define.
Cassian B.Real Estate AdvisorThunderbit's Scheduled Scraper makes real estate tracking easier. I describe the interval in plain English, and it automatically pulls updated listings, prices, and links without touching the setup again. Simple and very practical.
Dorian B.Content & SEO SpecialistI use Thunderbit's Field AI Prompts to clean and tag scraped blog content. It extracts titles, authors, and even suggests categories. Works great across dynamic sites and subpages—perfect for building structured SEO datasets.
Lina K.Marketplace Operations LeadWe track SKUs from niche stores using Thunderbit. Cloud Scraping handles 50 pages at a time, and for login-required sites, we switch to browser mode. It’s fast, flexible, and doesn’t need ongoing maintenance or manual edits.
Jorge F.Inbound Sales ManagerThunderbit’s AI Autofill is a lifesaver. After scraping contact info, I use it to fill lead forms directly in my browser. I just select the tab, and it fills everything using the scraped row. No manual input needed.
Alina D.Freelance ResearcherI rely on Thunderbit for extracting data from PDFs, image-based sites, and infinite scroll pages. It handles messy formats with AI and delivers ready-to-export tables I can send to Google Sheets or Airtable in seconds.
Taryn W.Growth Strategist@Thunderbit changed how I run competitor research. I click 'AI Suggest Fields,' and it builds a clean table across paginated results—no coding, no CSS. Huge time-saver when analyzing product data from long-tail marketplaces.
Miles T.Sales Development ConsultantI use Thunderbit to grab emails and phone numbers from directories. It extracts clean contact info in one click, and exporting to Sheets or Notion takes seconds. No extra setup, no coding—just usable data ready to work with.
Rhea C.E-commerce AnalystThunderbit helps me monitor SKU data across multiple pages. I scrape the listings, then use Subpage Scraping to pull full product specs, pricing, reviews, and stock. The AI organizes everything into columns I define.
Cassian B.Real Estate AdvisorThunderbit's Scheduled Scraper makes real estate tracking easier. I describe the interval in plain English, and it automatically pulls updated listings, prices, and links without touching the setup again. Simple and very practical.
Dorian B.Content & SEO SpecialistI use Thunderbit's Field AI Prompts to clean and tag scraped blog content. It extracts titles, authors, and even suggests categories. Works great across dynamic sites and subpages—perfect for building structured SEO datasets.
Lina K.Marketplace Operations LeadWe track SKUs from niche stores using Thunderbit. Cloud Scraping handles 50 pages at a time, and for login-required sites, we switch to browser mode. It’s fast, flexible, and doesn’t need ongoing maintenance or manual edits.
Jorge F.Inbound Sales ManagerThunderbit’s AI Autofill is a lifesaver. After scraping contact info, I use it to fill lead forms directly in my browser. I just select the tab, and it fills everything using the scraped row. No manual input needed.
Alina D.Freelance ResearcherI rely on Thunderbit for extracting data from PDFs, image-based sites, and infinite scroll pages. It handles messy formats with AI and delivers ready-to-export tables I can send to Google Sheets or Airtable in seconds.
Frequently Asked Questions
Extract Data using AI
Easily transfer data to Google Sheets, Airtable, or Notion
Chrome Store Rating
PRODUCT HUNT#1 Product of the Week