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playwright-scraperPlaywright scraper 测试

Agent Skill

用于辅助测试设计、自动化测试、用例整理和回归验证。它适合让 Agent 编写单元测试、端到端测试、测试计划或根据失败日志定位问题。使用时需要确认项目测试框架、运行命令和夹具数据,避免为了通过测试而改坏真实逻辑;涉及浏览器或外部服务时,应区分本地模拟、测试环境和生产环境。

总安装

30,576

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下载量

10,712
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:playwright-scraper(Playwright scraper 测试)
来源仓库:https://github.com/alphaonedev/openclaw-graph
仓库路径:skills/playwright-scraper
安装命令:
npx skills add https://github.com/alphaonedev/openclaw-graph --skill playwright-scraper
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/alphaonedev/openclaw-graph --skill playwright-scraper

简介

使用 Playwright 进行动态内容、身份验证、分页和数据提取的网页抓取。

  • 使用内置等待策略和选择器管理处理 JavaScript 渲染的网站、登录流程和多页面导航
  • 支持无头和可见浏览器模式,并具有跨片状元素的可靠自动化异步模式
  • 通过带有 JSON 输出的选择器提取数据,捕获屏幕截图和 PDF,并根据上下文管理 cookie 和会话
  • 通过JSON文件或环境变量进行配置;与 Node.js 14+ 集成并支持代理设置以实现网络灵活性

SKILL.md

playwright-scraper

Purpose

This skill enables web scraping using Playwright, a Node.js library for browser automation. It focuses on handling dynamic content, authentication flows, pagination, data extraction, and screenshots to reliably scrape modern websites.

When to Use

Use this skill for scraping sites with JavaScript-rendered content (e.g., React or Angular apps), sites requiring login (e.g., dashboards), handling multi-page results (e.g., search results), or capturing visual data (e.g., screenshots for verification). Avoid for static HTML sites where simpler tools like requests suffice.

Key Capabilities

  • Dynamically load and interact with content using Playwright's browser control.
  • Manage authentication flows, such as logging in via forms or API tokens.
  • Handle pagination by navigating pages, clicking "next" buttons, or parsing URLs.
  • Extract data using selectors, with options for JSON output or file saves.
  • Capture screenshots or full-page PDFs for debugging or reporting.
  • Supports headless or visible browser modes for flexibility.

Usage Patterns

Always initialize a browser context first, then create pages for navigation. Use async patterns for reliability. For authenticated scraping, handle cookies or sessions per context. Structure scripts to loop through pages for pagination and use try-catch for flaky elements. Pass configurations via JSON files or environment variables for reusability.

Common Commands/API

Use Playwright's Node.js API. Install via npm install playwright. Key methods include:

  • Launch browser: const browser = await playwright.chromium.launch({headless: true});
  • Navigate page: const page = await browser.newPage(); await page.goto('https://example.com');
  • Handle auth: await page.fill('#username', process.env.USERNAME); await page.fill('#password', process.env.PASSWORD); await page.click('#login');
  • Extract data: const data = await page.evaluate(() => document.querySelector('#target').innerText); console.log(data);
  • Pagination: while (await page.$('#next-button')) {await page.click('#next-button'); await page.waitForSelector('.item');}
  • Take screenshot: await page.screenshot({path: 'screenshot.png'}); CLI flags for running scripts: Use npx playwright test with flags like --headed for visible mode or --timeout 30000 for extended waits.

Integration Notes

Integrate by importing Playwright in Node.js projects. For auth, use environment variables like $PLAYWRIGHT_USERNAME and $PLAYWRIGHT_PASSWORD to avoid hardcoding. Configuration format: Use a JSON file for settings, e.g., {"url": "https://target.com", "selector": "#data-element"}. Pass it via script args: node scraper.js --config config.json. For larger systems, chain with tools like Puppeteer (if migrating) or export data to databases via page.evaluate results. Ensure compatibility with Node.js 14+ and handle proxy settings with browser.launch({proxy: {server: 'http://myproxy.com:8080'}}).

Error Handling

Anticipate common errors like timeout on dynamic loads or selector failures. Use page.waitForSelector with timeouts: await page.waitForSelector('#element', {timeout: 10000}).catch(err => console.error('Element not found:', err));. For network issues, wrap page.goto in try-catch: try {await page.goto(url, {waitUntil: 'networkidle'});} catch (e) {console.error('Navigation failed:', e.message); await browser.close();}. Handle authentication failures by checking for error elements: if (await page.$('#error-message')) {throw new Error('Login failed');}. Log errors with details and retry up to 3 times using a loop.

Concrete Usage Examples

  1. Scraping a logged-in dashboard: First, set env vars: export PLAYWRIGHT_USERNAME='user@example.com' and export PLAYWRIGHT_PASSWORD='securepass'. Then, run: const browser = await playwright.chromium.launch(); const page = await browser.newPage(); await page.goto('https://dashboard.com/login'); await page.fill('#username', process.env.PLAYWRIGHT_USERNAME); await page.fill('#password', process.env.PLAYWRIGHT_PASSWORD); await page.click('#submit'); const data = await page.evaluate(() => document.querySelector('#dashboard-data').innerText); console.log(data); await browser.close(); This extracts data from a protected page.
  2. Handling pagination on a search site: Script: const browser = await playwright.chromium.launch(); const page = await browser.newPage(); await page.goto('https://search.com?q=query'); let items = []; while (true) {items.push(...await page.$$eval('.result-item', elements => elements.map(el => el.innerText))); const nextButton = await page.$('#next-page'); if (!nextButton) break; await nextButton.click(); await page.waitForTimeout(2000);} console.log(items); await browser.close(); This collects results across multiple pages.

Graph Relationships

  • Related to: "selenium-automation" (alternative browser automation tool)
  • Depends on: "node-runtime" (for Playwright execution)
  • Complements: "data-extraction" (for post-processing scraped data)
  • In cluster: "community" (shared with other open-source tools)

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

35.18%
按下载量换算3,768

Claude

31.93%
按下载量换算3,420

Cursor

18.02%
按下载量换算1,930

Gemini CLI

9.52%
按下载量换算1,020

安全审计

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通过

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可疑

Snyk

可疑

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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