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增强版网页抓取功能。支持会话管理、多模式提取（CSS/XPath/正则）、并发抓取、反爬虫增强。提供完整的命令行接口。
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
Baseado na classificação ocupacional SOC
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Process multiple items with progress tracking, checkpointing, and failure recovery.
增强版浏览器自动化。基于 Playwright 实现完整浏览器操作，包括基础导航、截图、点击、表单填写、内容提取、文件上传/下载、多标签页管理。支持反检测和高级自动化。
| name | web-scraper |
| triggers | null |
| version | 1.0.0 |
| status | enhanced |
| description | 增强版网页抓取功能。支持会话管理、多模式提取（CSS/XPath/正则）、并发抓取、反爬虫增强。提供完整的命令行接口。 |
| provides | null |
| os | null |
| clawdbot | null |
| emoji | 🕷️ |
| category | data |
| priority | high |
| updated | "2026-03-11T00:00:00.000Z" |
✅ 状态：增强版已上线，功能完整。
~/.xyvaclaw/output/scraping/~/.xyvaclaw/sessions/web-scraper/用户说"抓取网页"或"提取数据"时自动触发。
# 健康检查
python3 scripts/scraper_cli.py --check
# 基础抓取
python3 scripts/scraper_cli.py --url "https://example.com" --css '{"title": "h1"}'
# 使用会话
python3 scripts/scraper_cli.py --url "https://example.com" --session "my_session"
# XPath 提取
python3 scripts/scraper_cli.py --url "https://example.com" --xpath '{"title": "//h1/text()"}'
# 正则提取
python3 scripts/scraper_cli.py --url "https://example.com" --regex '{"emails": "[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}"}'
# 并发抓取
python3 scripts/scraper_cli.py --urls "https://example1.com" "https://example2.com" --concurrent
# 指定输出文件
python3 scripts/scraper_cli.py --url "https://example.com" --output "result.json"
# 会话管理
python3 scripts/scraper_cli.py --list-sessions
python3 scripts/scraper_cli.py --clear-session --session "old_session"
from scraper_enhanced import scrape_enhanced, SessionManager, DataExtractor
# 简单抓取
result = scrape_enhanced(
url="https://example.com",
selectors={"title": "h1", "content": ".article"},
session_name="my_session"
)
# 使用会话管理器
session = SessionManager("test_session")
fetch_result = session.fetch("https://example.com")
# 使用数据提取器
extractor = DataExtractor(fetch_result["content"])
css_data = extractor.extract_css({"title": "h1"})
xpath_data = extractor.extract_xpath({"title": "//h1/text()"})
基于 requests + BeautifulSoup4 + lxml 实现，提供完整的抓取解决方案。