Search

PythonReactSEOPDF
OpenClaw

crawl4ai

AI-powered web scraping framework for extracting structured data from websites. Use when Codex needs to crawl, scrape, or extract data from web pages using AI-powered parsing, handle dynamic content, or work with complex HTML structures.

codylrn8040 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install codylrn804/crawl4ai

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

Crawl4ai

Overview

Crawl4ai is an AI-powered web scraping framework designed to extract structured data from websites efficiently. It combines traditional HTML parsing with AI to handle dynamic content, extract text intelligently, and clean and structure data from complex web pages.

When to Use This Skill

Use when Codex needs to:

  • Extract structured data from web pages (products, articles, forms, tables, etc.)
  • Scrape websites with dynamic content or complex JavaScript
  • Clean and normalize extracted data from various HTML structures
  • Work with APIs or web services that return HTML
  • Handle CORS limitations by scraping directly
  • Process web content at scale with reliability

Trigger phrases:

  • "Extract data from this website"
  • "Scrape this page for [specific data]"
  • "Parse this HTML"
  • "Get data from [URL]"
  • "Extract structured information from [website]"
  • "Scrape [website] for [data type]"
  • "Web scrape [URL]"

Quick Start

Basic Usage
from crawl4ai import AsyncWebCrawler, BrowserMode

async def scrape_page(url):
    async with AsyncWebCrawler() as crawler:
        result = await crawler.arun(
            url=url,
            browser_mode=BrowserMode.LATEST,
            headless=True
        )
        return result.markdown, result.clean_html
Extracting Structured Data
from crawl4ai import AsyncWebCrawler, JsonModeScreener
import json

async def extract_products(url):
    async with AsyncWebCrawler() as crawler:
        result = await crawler.arun(
            url=url,
            screenshot=True,
            javascript=True,
            bypass_cache=True
        )
        # Extract product data
        products = []
        for item in result.extracted_content:
            if item['type'] == 'product':
                products.append({
                    'name': item['name'],
                    'price': item['price'],
                    'url': item['url']
                })
        return products
```...

Source information

Source
github
Repository
openclaw/skills
Path
skills/codylrn804/crawl4ai
Version
—
Commit
30db0f76104c2ad310bd4a72ff17f107eb751133
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# Crawl4ai

## Overview

Crawl4ai is an AI-powered web scraping framework designed to extract structured data from websites efficiently. It combines traditional HTML parsing with AI to handle dynamic content, extract text intelligently, and clean and structure data from complex web pages.

## When to Use This Skill

Use when Codex needs to:
- Extract structured data from web pages (products, articles, forms, tables, etc.)
- Scrape websites with dynamic content or complex JavaScript
- Clean and normalize extracted data from various HTML structures
- Work with APIs or web services that return HTML
- Handle CORS limitations by scraping directly
- Process web content at scale with reliability

**Trigger phrases:**
- "Extract data from this website"
- "Scrape this page for [specific data]"
- "Parse this HTML"
- "Get data from [URL]"
- "Extract structured information from [website]"
- "Scrape [website] for [data type]"
- "Web scrape [URL]"

## Quick Start

### Basic Usage

```python
from crawl4ai import AsyncWebCrawler, BrowserMode

async def scrape_page(url):
    async with AsyncWebCrawler() as crawler:
        result = await crawler.arun(
            url=url,
            browser_mode=BrowserMode.LATEST,
            headless=True
        )
        return result.markdown, result.clean_html
```

### Extracting Structured Data

```python
from crawl4ai import AsyncWebCrawler, JsonModeScreener
import json

async def extract_products(url):
    async with AsyncWebCrawler() as crawler:
        result = await crawler.arun(
            url=url,
            screenshot=True,
            javascript=True,
            bypass_cache=True
        )
        # Extract product data
        products = []
        for item in result.extracted_content:
            if item['type'] == 'product':
                products.append({
                    'name': item['name'],
                    'price': item['price'],
                    'url': item['url']
                })
        return products
```...

Related skills

OpenClaw

geo-optimization

capt-marbles

Generative Engine Optimization (GEO) for AI search visibility. Optimize content to appear in ChatGPT, Perplexity, Claude, and Google AI Overviews. Use when optimizing websites, pages, or content for LLM discove...

OpenClaw

139mail

chang-tong

139邮箱邮件收发 Skill - 支持 IMAP/SMTP 协议,兼容139/QQ/163/Gmail等主流邮箱 功能: 1. 发送邮件(SMTP) 2. 接收邮件(IMAP) 3. 查看收件箱列表 4. 查看未读邮件 当用户提到 "发邮件"、"收邮件"、"查看邮件"、"邮箱"...