agent-browser
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking…
Web scraping with anti-bot bypass, content extraction, undocumented APIs and poison pill detection. Use when extracting content from websites, handling paywalls, implementing scraping cascades or processing social media. Covers requests, trafilatura, Playwright with stealth
$ npx -y skills add nicepkg/auto-company --skill web-scraping --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/web-scrapingContext preview
The summary Claude sees to decide when to auto-load this skill.
Web scraping with anti-bot bypass, content extraction, undocumented APIs and poison pill detection. Use when extracting content from websites, handling paywalls, implementing scraping cascades or processing social media. Covers requests, trafilatura, Playwright with stealth
name: web-scraping description: Web scraping with anti-bot bypass, content extraction, undocumented APIs and poison pill detection. Use when extracting content from websites, handling paywalls, implementing scraping cascades or processing social media. Covers requests, trafilatura, Playwright with stealth mode, yt-dlp and instaloader patterns.
Patterns for reliable, ethical web scraping with fallback strategies and anti-bot handling.
Implement multiple extraction strategies with automatic fallback:
from abc import ABC, abstractmethod
from typing import Optional
import requests
from bs4 import BeautifulSoup
import trafilatura
#for .py files
from playwright.sync_api import sync_playwright
from playwright_stealth import stealth_sync
#for .ipynb files
import asyncio
from playwright.async_api import async_playwright
class ScrapingResult:
def __init__(self, content: str, title: str, method: str):
self.content = content
self.title = title
self.method = method # Track which method succeeded
class Scraper(ABC):
@abstractmethod
def fetch(self, url: str) -> Optional[ScrapingResult]: ...
class TrafilaturaСscraper(Scraper):
"""Fast, lightweight extraction for standard articles."""
def fetch(self, url: str) -> Optional[ScrapingResult]:
try:
downloaded = trafilatura.fetch_url(url)
if not downloaded:
return None
content = trafilatura.extract(
downloaded,
include_comments=False,
include_tables=True,
favor_recall=True
)
if not content or len(content) < 100:
return None
# Extract title separately
soup = BeautifulSoup(downloaded, 'html.parser')
title = soup.find('title')
title_text = title.get_text() if title else ''
return ScrapingResult(content, title_text, 'trafilatura')
except Exception:
return None
class RequestsScraper(Scraper):
"""HTTP requests with rotating user agents."""
USER_AGENTS = [
'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36',
'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36',
]
def fetch(self, url: str) -> Optional[ScrapingResult]:
import random
headers = {
'User-Agent': random.choice(self.USER_AGENTS),
'Accept': 'text/html,application/xhtml+xml',
'Accept-Language': 'en-US,en;q=0.9',
}
try:
response = requests.get(url, headers=headers, timeout=30)
response.raise_for_status()
soup = BeautifulSoup(response.text, 'html.parser')
# Remove script/style elements
for element in soup(['script', 'style', 'nav', 'footer', 'aside']):
element.decompose()
# Find main content
main = soup.find('main') or soup.find('article') or soup.find('body')
content = main.get_text(separator='\n', strip=True) if main else ''
title = soup.find('title')
title_text = title.get_text() if title else ''
if len(content) < 100:
return None
return ScrapingResult(content, title_text, 'requests')
except Exception:
return None
class PlaywrightScraper(Scraper):
"""Heavy JavaScript rendering with stealth mode for anti-bot bypass."""
def fetch(self, url: str) -> Optional[ScrapingResult]:
try:
with sync_playwright() as p:
browser = p.chromium.launch(headless=True)
context = browser.new_context(
viewport={'width': 1920, 'height': 1080},
user_agent='Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36'
)
page = context.new_page()
# Apply stealth to avoid detection
stealth_sync(page)
page.goto(url, wait_until='networkidle', timeout=60000)
# Wait for content to load
page.wait_for_timeout(2000)
# Extract content
content = page.evaluate('''() => {
const article = document.querySelector('article, main, .content, #content');
return article ? article.innerText : document.body.innerText;
}''')
title = page.title()
browser.close()
if len(content) < 100:
return None
return ScrapingResult(content, title, 'playwright')
except Exception:
return None
class PlaywrightScraperAsync:
"""Async Playwright scraper for Jupyter notebooks (.ipynb files).
Jupyter notebooks run their own event loop, so sync Playwright won't work.
Use this async version with `await` in notebook cells.
"""
async def fetch(self, url: str) -> Optional[ScrapingResult]:
try:
async with async_playwright() as p:
browser = await p.chromium.launch(headless=True)
context = await browser.new_context(
viewport={'width': 1920, 'height': 1080},
user_agent='Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36'
)
page = await context.new_page()
# Note: playwright-stealth async version
# from playwright_stealth import stealth_async
# await stealth_async(page)
await page.goto(url, wait_until='networkidle', timeout=60000)
# Wait for content to load
await page.wait_for_timeout(2000)
# Extract content
content = await page.evaluat全自主 AI 公司,24/7 不停歇运行 14 个 AI Agent,每个都是该领域世界顶级专家的思维分身。 自主构思产品、做决策、写代码、部署上线、搞营销。没有人类参与。 基于 Claude Code Agent Teams 驱动。 ⚠️ 实验项目 — 还在测试中,能跑但不一定稳定。目前仅支持 macOS。
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking…
Security-focused code review checklist and automated scanning patterns. Use when reviewing pull requests for security issues, auditing…
Generate personalized cold email sequences (7-14 emails) with A/B test subject lines, follow-up timing recommendations, and integrated social proof. Creates…
Expert in community-led growth (CLG) - leveraging user communities to drive acquisition, retention, and expansion. Covers building developer communities, user…
Use this skill when users need to analyze competitors, monitor market movements, benchmark features/pricing, identify market gaps, or understand competitive…
When the user wants to plan a content strategy, decide what content to create, or figure out what topics to cover. Also use when the user mentions "content…