stock-data-skill
OpenClaw Skill for stock data analysis
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.
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/crawl4aiInspect 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.
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.
Use when Codex needs to:
Trigger phrases:
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
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
```...
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# 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
```...OpenClaw Skill for stock data analysis
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