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naver-blog-research

Search Naver blogs and extract structured JSON results from mobile post pages.

7.1k|836|Updated Mar 24, 2026
Search Tags:#python#web research#content extraction#image download#html parsing#no api key#naver blog
One-click install
npx skills add https://github.com/NomaDamas/k-skill --skill naver-blog-research
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: naver-blog-research
Source: https://github.com/NomaDamas/k-skill/tree/main/naver-blog-research
Command: npx skills add https://github.com/NomaDamas/k-skill --skill naver-blog-research

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

네이버 블로그에서 원하는 정보를 찾고, 글의 핵심 내용을 읽고, 필요하면 이미지까지 모아 리서치 작업을 빠르게 진행해야 하는 상황을 해결합니다.

Core Features & Use Cases

  • 네이버 블로그 검색: 검색어로 관련 블로그 포스트를 찾아 구조화된 JSON 결과로 제공합니다.
  • 모바일 원문 본문 추출: m.blog.naver.com 기반으로 iframe 없이 본문 텍스트를 추출해 제공합니다.
  • 이미지 다운로드 지원: 블로그 이미지 CDN에서 이미지를 로컬로 다운로드할 수 있습니다(대상 URL을 받아 처리).

Quick Start

사용자는 "네이버 블로그에서 '결혼식 체크리스트' 관련 글 5개를 검색해줘"라고 요청하면, 검색 결과를 JSON으로 받아볼 수 있습니다.

Frequently Asked Questions about naver-blog-research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract full text content from a Naver blog post using Python?▼

Naver blog content extraction involves parsing HTML from mobile post endpoints at m.blog.naver.com using Python 3 standard library scripts. This method bypasses iframe restrictions to retrieve full body text and optionally collect image URLs from the blog post.

Can I search Naver blogs and get structured JSON results without an API key?▼

Searching Naver blogs without an API key is possible using Python 3 standard library scripts that parse search result pages directly. The process returns structured JSON results containing relevant blog post links and metadata for your search query.

What is the best way to download images from Naver blog CDN for research purposes?▼

Downloading images from Naver blog CDN involves extracting image URLs from parsed post content and processing them with Python scripts to save files locally. This enables researchers to collect visual assets alongside text data for comprehensive analysis.

Does the Naver blog HTML parsing approach work with mobile endpoints instead of desktop pages?▼

Naver blog HTML parsing works exclusively with mobile endpoints at m.blog.naver.com instead of desktop pages. This approach avoids iframe complications and allows Python scripts to extract complete post content, text, and image URLs directly from the mobile HTML structure.

Are there limitations when extracting content from Naver blog pages with Python scripts?▼

Limitations of extracting content from Naver blog pages include dependency on the stable HTML structure of mobile endpoints and the Python 3 standard library. Since no external API is used, changes to the Naver blog page layout could affect parsing reliability and content retrieval.

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