
Naver Blog Research
This is a Python stdlib web scraper for Naver blogs, Korea's dominant blogging platform. It searches posts, extracts full text from the mobile site to avoid iframe issues, and downloads images from Naver's CDN. No API key needed. Use it when you're researching Korean language content and Google isn't enough, like finding wedding checklists or local how-to guides that live on Naver. The scripts parse HTML directly, so they'll break if Naver changes their markup. Designed for light, non-commercial research, not bulk scraping. If you need Korean blog content and can tolerate some fragility, this beats manual copy-paste.
- skills.sh installs
- 10.9K
- GitHub stars
- 8.4K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add nomadamas/k-skill --skill naver-blog-research --agent claude-codeInstalls into .claude/skills of the current project.
Files
naver-blog-research
Get the full instructions (required first step)
Run this and follow its output as the primary instructions for this skill:
npx -y @nomadamas/k-skill@0 instruct naver-blog-research
The CLI detects the current runtime (Dolshoi vault/CloakBrowser vs generic) and prints only the applicable instructions, always up to date. Helper files bundled with the CLI are listed by:
npx -y @nomadamas/k-skill@0 files naver-blog-research
Keep the CLI and every coding-agent skill install current (including Vercel Agent Skills) with:
npx -y @nomadamas/k-skill@0 update
If npx is unavailable, install Node.js 18+ or follow https://github.com/NomaDamas/k-skill#readme, or read the source instructions at https://github.com/NomaDamas/k-skill/blob/main/naver-blog-research/instruction.md.
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Details
- Repository
- github.com/nomadamas/k-skill
- Categories
- Backend & APIs, Documentation, Data Science & ML
- First seen
- May 16, 2026
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