crawl-for-ai
Web scraping using local Crawl4AI instance. Use for fetching full page content with JavaScript rendering. Better than Tavily for complex pages. Unlimited usage.
Best use case
crawl-for-ai is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Web scraping using local Crawl4AI instance. Use for fetching full page content with JavaScript rendering. Better than Tavily for complex pages. Unlimited usage.
Teams using crawl-for-ai should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/crawl-for-ai/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How crawl-for-ai Compares
| Feature / Agent | crawl-for-ai | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Web scraping using local Crawl4AI instance. Use for fetching full page content with JavaScript rendering. Better than Tavily for complex pages. Unlimited usage.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Crawl4AI Web Scraper
Local Crawl4AI instance for full web page extraction with JavaScript rendering.
## Endpoints
**Proxy (port 11234)** — Clean output, OpenWebUI-compatible
- Returns: `[{page_content, metadata}]`
- Use for: Simple content extraction
**Direct (port 11235)** — Full output with all data
- Returns: `{results: [{markdown, html, links, media, ...}]}`
- Use for: When you need links, media, or other metadata
## Usage
```bash
# Via script
node {baseDir}/scripts/crawl4ai.js "url"
node {baseDir}/scripts/crawl4ai.js "url" --json
```
**Script options:**
- `--json` — Full JSON response
**Output:** Clean markdown from the page.
## Configuration
**Required environment variable:**
- `CRAWL4AI_URL` — Your Crawl4AI instance URL (e.g., `http://localhost:11235`)
**Optional:**
- `CRAWL4AI_KEY` — API key if your instance requires authentication
## Features
- **JavaScript rendering** — Handles dynamic content
- **Unlimited usage** — Local instance, no API limits
- **Full content** — HTML, markdown, links, media, tables
- **Better than Tavily** for complex pages with JS
## API
Uses your local Crawl4AI instance REST API. Auth header only sent if `CRAWL4AI_KEY` is set.Related Skills
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---
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Stop waiting for prompts. Keep working.
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Never walk into a meeting unprepared again. Your agent researches all attendees before calendar events—pulling LinkedIn profiles, recent company news, mutual connections, and conversation starters. Generates a briefing doc with talking points, icebreakers, and context so you show up informed and confident. Triggered automatically before meetings or on-demand. Configure research depth, advance timing, and output format. Walking into meetings blind is amateur hour—missed connections, generic small talk, zero leverage. Use when setting up meeting intelligence, researching specific attendees, generating pre-meeting briefs, or automating your prep workflow.
self-improvement
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.