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webclaw

Skill Data & Analytics Usable
Works inClaude Code
Usable Scanned — metadata only

Extracts structured data from web pages at scale without external dependencies or API calls.

Fast, local-first web content extraction for LLMs. Scrape, crawl, extract structured data — all from Rust. CLI, REST API, and MCP server.

2,105 starsAGPL-3.0 (check with legal)FreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Extracts structured data from web pages at scale without external dependencies or API calls. Runs locally, reducing latency and eliminating third-party service costs.

Teams building LLM pipelines that need to ingest and normalize web content reliably without relying on cloud extraction services.

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https://github.com/0xMassi/webclaw

By 0xMassi

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install 0xMassi/webclaw

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Help me feed competitor pricing pages into LLM for market analysis
CostFree

Trust Signals Auto-scanned

Stars2,105Contributors8Last updated2026-08-03LicenseAGPL-3.0 (check with legal)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-12 · scanner vattempted-no-data

Community Pulse Active

Discussed on Hacker News, Reddit

3 mentions across 1 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 1,285 GitHub stars; contributors unknown; last commit 0d ago; license AGPL-3.0.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
  • License (AGPL-3.0) may restrict commercial use. Check with your legal team.

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

Ease of Use
2/5
Versatility
4/5
Reliability
3/5
Security
3/5
Overall score2.90 / 5.00 UsableEvaluatedJun 2026
Scored from trust signals (evidence-eval-v1): 1,285 GitHub stars; contributors unknown; last commit 0d ago; license AGPL-3.0.

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