PR and communications teams
Coverage checks
Favorable to scraping
Track how Naver News frames a company, campaign, executive, public issue, or product launch, then hand a structured CSV to reporting teams.
News$50Free
Naver News Scraper
This Naver News scraper turns Naver publisher pages and article pages into a structured CSV. Import the workflow, run the included multi-URL loop, and export publisher names, headlines, article URLs, publication times, snippets or article text, and extraction timestamps without building a custom crawler or connecting a News API.
Output
CSV file
Fields
8 columns
Flow
Multi-URL loop
Source
Naver News
Template
Free import
At a glance
Export Naver News headlines and article text to CSV
Naver is a core discovery surface for Korean news, but manual monitoring gets messy quickly. Publisher home pages show batches of editorial items, while article detail pages expose deeper text and metadata in a different layout. This template handles both patterns in one auditable graph so you can scrape Naver News into a repeatable file instead of copying browser cards by hand.
One file for publisher and article rows
Export Naver News headlines, source links, snippets, and detail-page content into a CSV that opens cleanly in Excel, Sheets, BI tools, or review queues.
Built around multiple source URLs
The Navigate block runs over the supplied publisher pages and article URL, then Loop Continue advances to the next input after each export path finishes.
Local desktop custody
The browser session and CSV output stay on your machine. Nothing in the stock project sends query context or extracted news rows to UScraper servers.
Structured fields, not screenshots
The export keeps keyword context, publisher, URL, time, title, content, and extraction time in separate columns for filtering, deduping, and downstream analysis.
Who uses it
Built for Korean news monitoring workflows
Market researchers
Source comparison
Favorable to scraping
Compare publisher activity and story timing across selected Naver press pages, then review headlines and snippets without rebuilding the same spreadsheet daily.
Data operations teams
No-code export
Nuanced outcome
Use a transparent local workflow when stakeholders need Naver News to CSV and engineering time should go toward QA, enrichment, and analysis.
How to use
Run the Naver News scraper in five steps
1
Download and import
Download the hosted template JSON from the Naver News Scraper template link, then import it into UScraper.
2
Review the source URLs
The Navigate block includes two Naver publisher pages and one OhmyNews article URL. Replace or duplicate those inputs with the approved pages your team wants to monitor.
3
Keep the waits in place
The workflow waits for page load, sleeps briefly, then checks which news layout is present before exporting. Those waits reduce empty rows on dynamic pages.
4
Export the matching layout
Publisher pages use one Structured Export path for visible news items. Article pages use a second path for the full article wrapper and content area.
5
Loop and open the CSV
Loop Continue advances to the next configured URL. Each successful export appends rows to naver-news-scraper.csv with headers included.
Output preview
What the Naver News CSV contains
naver-news-scraper.csvColumn
search_keyword
Context for the source page, such as publisher_home plus the press name or article news keywords.
Column
publicator
Publisher or site name captured from page metadata or visible headings.
Column
publicator_link_url
Publisher page URL, homepage, or current origin depending on the source layout.
Column
publication_time
Published or modified time when the page exposes it.
Column
title
Headline text from the publisher item or article title.
Column
title_link_url
Article URL from the headline link or current article page.
Column
news_content
Publisher snippet, item text, or article body content.
Column
extraction_time
ISO timestamp generated when the row is exported.
Sample rows
2 of many
| search_keyword | publicator | publicator_link_url | publication_time | title | title_link_url | news_content | extraction_time |
|---|---|---|---|---|---|---|---|
| publisher_home:OhmyNews | OhmyNews | 2026.06.02 | Civic groups respond to new policy debate | Summary text from the publisher page describing the story and its main context. | 2026-06-02T20:10:03.000Z | ||
| politics,election,local | OhmyNews | 2026-06-02T12:00:00+09:00 | Interview highlights regional campaign strategy | Article body excerpt captured from the detail page for internal review and classification. | 2026-06-02T20:10:11.000Z |
Headers included - publisher and article-detail rows append into the same file
Related search and news templates
Pair this page with the Naver Search Scraper when you need keyword-driven Naver results, the Google News Keyword Scraper for broader news monitoring, and the Yahoo News Scraper for article-level coverage on another portal. Browse all workflows in the UScraper template library or install the local desktop app from the download page.
Frequently asked questions
Automating Naver News can be restricted by Naver terms, robots guidance, publisher copyright, privacy law, and local scraping rules even when pages are visible in a browser. Keep collection narrow, avoid login walls or CAPTCHA bypass, do not republish article text without permission, and get legal review before using exports commercially.
Before you run
Limits and maintenance notes
Practical guardrails for reliable Naver News exports
Rate limits
Run at a human pace
Naver can throttle automated browsing or display verification. Keep the bundled waits, avoid parallel batches, and stop whenever the page asks for human confirmation.
Layout changes
Publisher and article layouts can drift
The template has separate branches for publisher lists and article detail pages. Empty exports usually mean the visible layout changed and the extraction mapping should be refreshed.
Compliance
Treat news text as publisher-owned content
Use exports for permitted monitoring, research, or internal review. Get permission before redistributing article text, reselling datasets, or using collected rows for commercial AI training.
Get Started
Download and use this template instantly
$50Free
What's Included
- Template JSON file ready to import
- Pre-configured scraping nodes
- Works with UScraper desktop app
Open-source templates
UScraper templates are open source. Improve this workflow or contribute a new one to help the community grow.
Contribute on GitHubBrowse more templates in the library
All Templates