用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/zhizhunbao/gangwon-business-portal --skill web-scraping命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
正在显示 SKILL.md
基于 SOC 职业分类
| name | web-scraping |
| description | 网页抓取与数据提取。Use when (1) 需要抓取网页内容, (2) 绕过反爬虫机制, (3) 处理动态加载内容, (4) 批量采集数据, (5) 解析特定网站结构 |
Always use stealth configuration to avoid detection:
# Remove automation flags
context.add_init_script("""
Object.defineProperty(navigator, 'webdriver', {
get: () => undefined
});
""")
# Use realistic settings
browser = playwright.chromium.launch(
args=['--disable-blink-features=AutomationControlled']
)
Add random delays and smooth interactions:
import random
await asyncio.sleep(random.uniform(0.5, 2.0))
await page.mouse.move(x, y, steps=random.randint(10, 30))
Use appropriate wait strategies:
# For static content
await page.goto(url, wait_until='networkidle')
# For dynamic content
await page.wait_for_selector('.content')
await page.wait_for_function("document.querySelectorAll('.item').length > 10")
title = await page.locator('h1').first.text_content()
paragraphs = await page.locator('article p').all_text_contents()
content = '\n\n'.join(paragraphs)
while len(items) < max_items:
await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
await page.wait_for_timeout(2000)
current_items = await page.locator('.item').all()
if len(current_items) == previous_count:
break
# Close cookie banners and modals
try:
await page.click('button:has-text("Accept")', timeout=3000)
except:
pass
await page.fill('input[name="username"]', username)
await page.fill('input[name="password"]', password)
await page.click('button[type="submit"]')
await page.wait_for_url('**/dashboard')
cookies = await context.cookies() # Save for reuse
Implement rate limiting to avoid bans:
from tenacity import retry, stop_after_attempt, wait_exponential
@retry(stop=stop_after_attempt(3), wait=wait_exponential(min=4, max=10))
async def scrape_with_retry(url: str):
# Your scraping logic
pass
Track requests per time window:
class RateLimiter:
def __init__(self, max_requests: int, time_window: int):
self.max_requests = max_requests
self.time_window = time_window
self.requests = []
async def wait_if_needed(self):
# Remove old requests, wait if limit reached
pass
Use BeautifulSoup for parsing after Playwright renders:
from bs4 import BeautifulSoup
soup = BeautifulSoup(html, 'lxml')
# Remove unwanted elements
for element in soup(['script', 'style', 'nav', 'footer']):
element.decompose()
# Extract structured data
article = soup.find('article') or soup.find('main')
paragraphs = [p.get_text(strip=True) for p in article.find_all('p')]
Cache results to minimize requests:
import hashlib
import json
def get_cache_path(url: str) -> Path:
url_hash = hashlib.md5(url.encode()).hexdigest()
return Path(f'.cache/{url_hash}.json')
# Check cache before scraping
cached = load_from_cache(url)
if cached:
return cached
pip install playwright beautifulsoup4 lxml tenacity
playwright install chromium
# Or with uv
uv add playwright beautifulsoup4 lxml tenacity
uv run playwright install chromium
scripts/scrapers/
├── base.py # Base scraper class with stealth mode
├── extractors/ # Site-specific extractors
│ ├── medium.py
│ ├── github.py
│ └── generic.py
├── utils/
│ ├── stealth.py # Anti-bot utilities
│ ├── cache.py # Caching logic
│ └── rate_limit.py # Rate limiting
└── config.py # User agents, timeouts, etc.
Before deploying:
playwright install chromiumwait_until='domcontentloaded'wait_for_selector()For detailed code examples: See references/examples.md
For site-specific patterns: See references/patterns.md
For advanced anti-bot techniques: See references/stealth-guide.md