AI-Powered Web Scraping

Naver Scraper for Search, Blog, and News Data

Start on a Naver results or list page. Agent Mode can pair each visible result card with details from its linked blog or news article in one run, then send the rows to Sheets, Notion, or Airtable.

Need more ways to scrape at scale?

A quick playground: Try it yourself.

Collect Naver Results and Article Details

Built around Korean blog/news research

Send Naver Results Straight to Your Tools

Use One Click Extract once, tell Thunderbit what details matter, and send the resulting rows straight to Google Sheets, Notion, or Airtable—without a manual CSV step.

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Use the Same AI Agent on Other Sites

Open another public search, blog, or news site and tell Thunderbit what you need in Korean or English instead of learning how to build another scraper.

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Open Linked Pages for More Details

From a results or list page, the agent can visit each visible blog/news link to collect on-page text and dates. You control this linked-page step and can turn it off.

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Collect Naver Results Without Building a Scraper

Keep each search result connected to the blog or news article behind it.

Manual Copying or Selector Tools

Time spent chasing layouts
Write and maintain CSS/XPath
Open each link, copy text and dates
Paste into Sheets or Notion
Repeat when layouts shift
One Click Extract

Thunderbit AI Agent

Open Naver and start
Suggests useful data; refine it in natural language
Can open linked posts in the same run
Exports rows to Sheets, Notion, or Airtable
Run again with an updated request

Naver result-card and article fields

Captured only when visible in your current view.

  • search_query
  • result_page_number
  • result_rank
  • result_tab
  • result_title
  • result_snippet
  • result_url
  • result_thumbnail_url
  • result_date
  • blog_name
  • author_nickname
  • blog_home_url
  • post_title
  • post_url
  • post_date_time
  • view_count
  • like_count
  • comment_count
  • tags
  • category_name
  • main_image_url
  • image_1_url
  • image_2_url
  • image_3_url
  • author_profile_url
  • first_comment_author
  • first_comment_text
  • blog_neighbor_count
  • first_comment_time
  • content_text

Hear researchers explain their page-to-sheet setup

In real videos, Thunderbit users turn visible cards and article details into one table.

Questions on pairing Naver cards with articles

About visible pages in your session

More Naver research you can pair

Try agents on Naver Shopping, News, or Knowledge iN to record visible cards and, when useful, open the linked pages. Results reflect only what your current view shows.

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