Defuddle Web Extractor Skill
Web content extraction is foundational to research and analysis workflows.
Claude Code skill wrapping the defuddle CLI to extract clean article content from web pages. Removes ads, sidebars, and clutter, outputting Markdown or JSON. Reduces token usage by 50-80% vs raw WebFetch.
- Extract clean article text from web pages without clutter
- Save tokens by stripping ads and sidebars before analysis
- Convert web pages to clean markdown for research workflows
Web content extraction is foundational to research and analysis workflows. A simple, well-maintained wrapper around the established defuddle library provides reliable content extraction without building custom scrapers.
Researchers and content analysts who need clean article text from arbitrary web pages as part of Claude-assisted research workflows.
https://github.com/joeseesun/defuddle-skill
By joeseesun
How to Get It
npx defuddle-skill
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
After installing, paste this into Claude:
Help me extract clean article text from web pages without clutter
Trust Signals Reviewed
Community Pulse Emerging
Discussed on Reddit
1 mentions across 1 sources
Reviewer notes
Reviewed review. These are observations, not a security certification.
audit 2026-07-05 stale-eval refresh: Scored from trust signals (evidence-eval-v1): 106 GitHub stars; 1 contributors; last commit 124d ago; license MIT.
2026-04-02: LIMITATION: Depends on external defuddle binary. Won't work in clean environments without pre-install. May fail on JavaScript-heavy SPAs.
Things to check
- Relies on the defuddle CLI and its content-detection heuristics, which may fail on heavily JavaScript-rendered or non-standard layouts. Quality degrades on paywalled, image-heavy, or dynamically structured content.
- Single maintainer. Consider the risk if this person stops maintaining the project.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
audit 2026-07-05 stale-eval refresh: Scored from trust signals (evidence-eval-v1): 106 GitHub stars; 1 contributors; last commit 124d ago; license MIT.