aliatx2017/reasonix-hermes/crawl4ai-local

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Crawl and extract content from web pages using the local Crawl4AI instance at http://192.168.1.214:11235. Get cleaned HTML, markdown, fit-text, screenshots, or structured LLM extraction. Use when you need to read web pages programmatically.

Install

npx vskill@latest install aliatx2017/reasonix-hermes/crawl4ai-local

SKILL.md

Crawl4AI Local Crawler

Use the local Crawl4AI instance running on the home LAN for web page crawling and content extraction.

Base URL: http://192.168.1.214:11235 Health: GET /health API Docs: http://192.168.1.214:11235/docs

Quick Crawl (single URL)

bash
curl -s -X POST http://192.168.1.214:11235/crawl \
  -H 'Content-Type: application/json' \
  -d '{"urls": ["https://example.com"], "priority": 10}'
Response fields
FieldDescription
htmlRaw HTML
cleaned_htmlCleaned HTML (scripts, styles removed)
fit_htmlSemantic-fit HTML (most relevant content)
markdownMarkdown version (use "output_format": "markdown")
media.imagesExtracted image URLs
media.videosExtracted video URLs
links.externalExternal links with text and scores

Crawl with Options

bash
curl -s -X POST http://192.168.1.214:11235/crawl \
  -H 'Content-Type: application/json' \
  -d '{
    "urls": ["https://example.com"],
    "priority": 10,
    "extract_markdown": true,
    "bypass_cache": false,
    "timeout": 30000
  }'

Extract as Markdown

bash
curl -s -X POST http://192.168.1.214:11235/md \
  -H 'Content-Type: application/json' \
  -d '{"url": "https://example.com"}'

Screenshot a Page

bash
curl -s -X POST http://192.168.1.214:11235/screenshot \
  -H 'Content-Type: application/json' \
  -d '{"url": "https://example.com"}' | base64 -d > screenshot.png

Structured Extraction (LLM)

bash
curl -s -X POST http://192.168.1.214:11235/crawl \
  -H 'Content-Type: application/json' \
  -d '{
    "urls": ["https://example.com/products"],
    "priority": 10,
    "extraction_config": {
      "type": "llm",
      "params": {
        "instruction": "Extract all product names and prices as a JSON array"
      }
    }
  }'

Parse Results with Python

bash
curl -s -X POST http://192.168.1.214:11235/crawl \
  -H 'Content-Type: application/json' \
  -d '{"urls":["https://example.com"],"priority":10}' \
  | python3 -c "
import sys, json
d = json.load(sys.stdin)
for r in d['results']:
    if r['success']:
        print(r.get('cleaned_html', '')[:500])
"

Notes

  • Crawl4AI uses headless browsers — JavaScript-rendered pages work.
  • Cache is enabled by default; use "bypass_cache": true for fresh content.
  • Large pages may take 10-30 seconds.

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

See the full security report

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

See evaluation results

Source

Popularity

Repository stars
5
7-day trend score
14

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

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