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scrape-webpage抓取网页

Agent Skill

scrape-webpage 用于处理浏览器自动化、网页检查和页面信息提取,适合在 Codex、Claude、Cursor、Gemini CLI 中需要让 Agent 打开页面、读取网页或验证前端流程时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

661

周安装

27

GitHub Stars

40

下载量

214
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:scrape-webpage(抓取网页)
来源仓库:https://github.com/adobe/helix-website
仓库路径:skills/scrape-webpage
安装命令:
npx skills add https://github.com/adobe/helix-website --skill scrape-webpage
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/adobe/helix-website --skill scrape-webpage

简介

用于处理浏览器自动化、网页检查和页面信息提取。

  • 适合让 Agent 打开页面、读取网页或验证前端流程。
  • 可通过 npx skills add 命令从指定 GitHub 仓库安装使用。
  • 安装前需确认权限范围、维护状态及是否触发联网或文件操作。
  • scrape-webpage 属于前端设计类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Scrape Webpage

Extract content, metadata, and images from a webpage for import/migration.

When to Use This Skill

Use this skill when:

  • Starting a page import and need to extract content from source URL
  • Need webpage analysis with local image downloads
  • Want metadata extraction (Open Graph, JSON-LD, etc.)

Invoked by: page-import skill (Step 1)

Prerequisites

Before using this skill, ensure:

  • ✅ Node.js is available
  • ✅ npm playwright is installed (npm install playwright)
  • ✅ Chromium browser is installed (npx playwright install chromium)
  • ✅ Sharp image library is installed (cd.claude/skills/scrape-webpage/scripts && npm install)

Related Skills

  • page-import - Orchestrator that invokes this skill
  • identify-page-structure - Uses this skill's output (screenshot, HTML, metadata)
  • generate-import-html - Uses image mapping and paths from this skill

Scraping Workflow

Step 1: Run Analysis Script

Command:

node .claude/skills/scrape-webpage/scripts/analyze-webpage.js "https://example.com/page" --output ./import-work

What the script does:

  1. Sets up network interception to capture all images
  2. Loads page in headless Chromium
  3. Scrolls through entire page to trigger lazy-loaded images
  4. Downloads all images locally (converts WebP/AVIF/SVG to PNG)
  5. Captures full-page screenshot for visual reference
  6. Extracts metadata (title, description, Open Graph, JSON-LD, canonical)
  7. Fixes images in DOM (background-image→img, picture elements, srcset→src, relative→absolute, inline SVG→img)
  8. Extracts cleaned HTML (removes scripts/styles)
  9. Replaces image URLs in HTML with local paths (./images/...)
  10. Generates document paths (sanitized, lowercase, no.html extension)
  11. Saves complete analysis with image mapping to metadata.json

For detailed explanation: See resources/web-page-analysis.md


Step 2: Verify Output

Output files:

  • ./import-work/metadata.json - Complete analysis with paths and image mapping
  • ./import-work/screenshot.png - Visual reference for layout comparison
  • ./import-work/cleaned.html - Main content HTML with local image paths
  • ./import-work/images/ - All downloaded images (WebP/AVIF/SVG converted to PNG)

Verify files exist:

ls -lh ./import-work/metadata.json ./import-work/screenshot.png ./import-work/cleaned.html
ls -lh ./import-work/images/ | head -5

Step 3: Review Metadata JSON

Output JSON structure:

{
  "url": "https://example.com/page",
  "timestamp": "2025-01-12T10:30:00.000Z",
  "paths": {
    "documentPath": "/us/en/about",
    "htmlFilePath": "us/en/about.plain.html",
    "mdFilePath": "us/en/about.md",
    "dirPath": "us/en",
    "filename": "about"
  },
  "screenshot": "./import-work/screenshot.png",
  "html": {
    "filePath": "./import-work/cleaned.html",
    "size": 45230
  },
  "metadata": {
    "title": "Page Title",
    "description": "Page description",
    "og:image": "https://example.com/image.jpg",
    "canonical": "https://example.com/page"
  },
  "images": {
    "count": 15,
    "mapping": {
      "https://example.com/hero.jpg": "./images/a1b2c3d4e5f6.jpg",
      "https://example.com/logo.webp": "./images/f6e5d4c3b2a1.png"
    },
    "stats": {
      "total": 15,
      "converted": 3,
      "skipped": 12,
      "failed": 0
    }
  }
}

Key fields:

  • paths.documentPath - Used for browser preview URL
  • paths.htmlFilePath - Where to save final HTML file
  • images.mapping - Original URLs → local paths
  • metadata - Extracted page metadata

Output

This skill provides:

  • ✅ metadata.json with paths, metadata, image mapping
  • ✅ screenshot.png for visual reference
  • ✅ cleaned.html with local image references
  • ✅ images/ folder with all downloaded images

Next step: Pass these outputs to identify-page-structure skill


Troubleshooting

Browser not installed:

npx playwright install chromium

Sharp not installed:

cd .claude/skills/scrape-webpage/scripts && npm install

Image download failures:

  • Check images.stats.failed count in metadata.json
  • Some images may require authentication or be blocked by CORS
  • Failed images will be noted but won't stop the scraping process

Lazy-loaded images not captured:

  • Script scrolls through page to trigger lazy loading
  • Some advanced lazy-loading may need customization in scripts/analyze-webpage.js

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.98%
按下载量换算77

Claude

31.19%
按下载量换算67

Cursor

18.17%
按下载量换算39

Gemini CLI

9.94%
按下载量换算21

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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