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Naver Scraper

Free tier available

The Thunderbit AI-Powered Naver Scraper is a powerful tool designed to extract structured data from various Naver platforms, including Naver Shopping, Naver Flight, Naver Land, and Naver News. With , you can easily transform unstructured web content into organized datasets, saving time and boosting productivity.

What can you scrape with Naver Scraper?

1. Scrape Naver Shopping Page πŸ›οΈ

The Naver Shopping Scraper allows you to extract detailed product information from .

Steps:

  1. Install the and register your account.
  2. Navigate to the you want to scrape.
  3. Click AI Suggest Columns to generate column names automatically.
  4. Click Scrape to extract the data and download it.

Column Names

ColumnDescription
πŸ›’ Product NameThe name of the product listed on Naver Shopping.
🌐 Product URLThe direct link to the product page.
πŸ–ΌοΈ Product ImageThe image of the product.
πŸ’° Price (won)The price of the product in Korean Won.
πŸ“‰ Discount PercentageThe discount percentage applied to the product.
πŸ’Š Per Tablet Price (won)The price per tablet or unit, if applicable.
πŸ—£οΈ Customer Reviews CountThe number of customer reviews for the product.
🚚 Arrive TimeEstimated delivery time for the product.

2. Scrape Naver Flight Page ✈️

The Naver Flight Scraper helps you extract flight details from , making it easier to compare prices and plan your trips.

Steps:

  1. Install the and register your account.
  2. Navigate to the .
  3. Click AI Suggest Columns to generate column names automatically.
  4. Click Scrape to extract the data and download it.

Column Names

ColumnDescription
πŸ›« Flight RouteThe route of the flight (e.g., Seoul to Tokyo).
πŸ“… Departure DateThe date of departure.
πŸ“… Return DateThe date of return (if applicable).
✈️ Flight TypeThe type of flight (e.g., one-way, round-trip).
πŸ’° Price (KRW)The price of the flight in Korean Won.
🌐 Flight URLThe direct link to the flight details page.

3. Scrape Naver Land Page 🏠

The Naver Land Scraper is perfect for extracting real estate data from .

Steps:

  1. Install the and register your account.
  2. Navigate to the .
  3. Click AI Suggest Columns to generate column names automatically.
  4. Click Scrape to extract the data and download it.

Column Names

ColumnDescription
🏒 Complex NameThe name of the real estate complex.
🏷️ Listing Type (Sale/Lease)Indicates whether the listing is for sale or lease.
πŸ’° Price RangeThe price range of the listings.
πŸ“ Area Range (㎑)The area range of the properties in square meters.
πŸ“‹ Number of ListingsThe total number of listings available.
πŸ“ˆ Market Price/Transaction PriceThe market or transaction price of the property.
🌐 Listing URLThe direct link to the listing page.

4. Scrape Naver News Search Results πŸ“°

The Naver News Scraper allows you to extract news articles from .

Steps:

  1. Install the and register your account.
  2. Navigate to the .
  3. Click AI Suggest Columns to generate column names automatically.
  4. Click Scrape to extract the data and download it.

Column Names

ColumnDescription
πŸ“° Article TitleThe title of the news article.
🌐 Article URLThe direct link to the article.
πŸ“… Publication DateThe date the article was published.
🏒 SourceThe source or publisher of the article.
πŸ“ Article SummaryA brief summary of the article.

πŸ€” Why Use Naver Scraper Tool?

Scraping Naver platforms can provide valuable insights for various purposes:

  • E-commerce Professionals: Analyze product pricing, discounts, and customer reviews on Naver Shopping.
  • Travel Enthusiasts: Compare flight prices and plan trips using Naver Flight data.
  • Real Estate Agents: Monitor property listings and market trends on Naver Land.
  • Journalists and Researchers: Extract news articles and summaries for research or reporting.

By extracting accurate and well-organized data, you can make data-driven decisions and unlock new opportunities.


πŸ› οΈ How to Use Naver Scraper Chrome Extension

  1. Install the Thunderbit Chrome Extension: Download the extension and register your account.
  2. Navigate to the Target Page: Go to the Naver Shopping, Flight, Land, or News page you want to scrape.
  3. Activate AI-Powered Scraper: Click AI Suggest Columns to generate column names or customize columns to meet your needs.

πŸ’° Pricing for Thunderbit Naver Scraper

Thunderbit operates on a credit-based system, where 1 credit equals 1 scraped row. The tool is free to try, and additional plans offer flexibility for both occasional and high-volume users.

Plans:

TierMonthly PriceYearly PriceYearly Total CostCredits/MonthCredits/Year
FreeFreeFreeFree6 pagesN/A
Starter$15$9$1085005,000
Pro 1$38$16.5$1993,00030,000
Pro 2$75$33.8$4066,00060,000
Pro 3$125$68.4$82110,000120,000
Pro 4$249$137.5$1,65020,000240,000

Free Features:

  • 6 pages per month on the Free Plan.
  • 10 pages for free with the Free Trial, perfect for exploring the scraper’s features.

❓FAQs

  1. What is the AI Powered Naver Scraper?

    The AI Powered Naver Scraper is a specialized tool designed to extract structured data from Naver platforms like Shopping, Flight, Land, and News. It simplifies data collection by leveraging Thunderbit's Chrome Extension, enabling users to gather data quickly and efficiently.

  2. What is Thunderbit?

    Thunderbit is a Chrome Extension that simplifies web scraping, data extraction, and automation tasks using artificial intelligence. It caters to professionals in marketing, e-commerce, research, and more by making tedious web-based tasks faster and easier.

  3. How many pages can I scrape with the free trial?

    With Thunderbit’s free trial, you can scrape up to 10 pages for free. This allows users to explore the tool’s capabilities before upgrading to a paid plan.

  4. Can I customize the columns and data fields to scrape?

    Yes, Thunderbit offers robust customization options that let you specify the exact data fields you want to extract.

  5. Is it legal to scrape Naver platforms?

    Scraping publicly accessible data from Naver is generally permissible as long as you comply with applicable laws and respect privacy rights.

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