Skillshub puppeteer

Puppeteer

install
source · Clone the upstream repo
git clone https://github.com/ComeOnOliver/skillshub
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/ComeOnOliver/skillshub "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/TerminalSkills/skills/puppeteer" ~/.claude/skills/comeonoliver-skillshub-puppeteer && rm -rf "$T"
manifest: skills/TerminalSkills/skills/puppeteer/SKILL.md
source content

Puppeteer

Overview

Puppeteer is a Node.js library that controls headless Chrome/Chromium. Unlike HTTP-based scrapers (cheerio, axios), Puppeteer renders JavaScript, executes AJAX calls, and interacts with the page like a real user. Use it for scraping SPAs, automating form submissions, generating screenshots/PDFs, and testing web interfaces. This skill covers page navigation, DOM extraction, form filling, network interception, stealth mode, and integration with data processing pipelines.

Instructions

Step 1: Installation

npm install puppeteer           # downloads Chromium (~170MB)
npm install puppeteer-core      # no bundled browser (use system Chrome)

# For stealth (anti-bot bypass)
npm install puppeteer-extra puppeteer-extra-plugin-stealth

Step 2: Basic Page Scraping

// scrape_page.js — Extract data from a JavaScript-rendered page
import puppeteer from 'puppeteer'

async function scrapePage(url) {
  const browser = await puppeteer.launch({
    headless: 'new',           // modern headless mode
    args: ['--no-sandbox'],    // required in Docker/CI
  })
  const page = await browser.newPage()

  // Set viewport and user agent for consistent rendering
  await page.setViewport({ width: 1920, height: 1080 })
  await page.setUserAgent('Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36')

  await page.goto(url, { waitUntil: 'networkidle2', timeout: 30000 })

  // Extract data from the rendered DOM
  const data = await page.evaluate(() => {
    const items = []
    document.querySelectorAll('.product-card').forEach(card => {
      items.push({
        title: card.querySelector('h2')?.textContent?.trim(),
        price: card.querySelector('.price')?.textContent?.trim(),
        image: card.querySelector('img')?.src,
        link: card.querySelector('a')?.href,
      })
    })
    return items
  })

  await browser.close()
  return data
}

const products = await scrapePage('https://example.com/products')
console.log(JSON.stringify(products, null, 2))

Step 3: Form Filling and Login

// login_and_scrape.js — Log into a site and scrape authenticated content
import puppeteer from 'puppeteer'

async function loginAndScrape(email, password) {
  const browser = await puppeteer.launch({ headless: 'new' })
  const page = await browser.newPage()

  await page.goto('https://example.com/login')

  // Fill login form
  await page.type('#email', email, { delay: 50 })     // delay simulates typing
  await page.type('#password', password, { delay: 50 })
  await page.click('button[type="submit"]')

  // Wait for navigation after login
  await page.waitForNavigation({ waitUntil: 'networkidle2' })

  // Now scrape authenticated pages
  await page.goto('https://example.com/dashboard')
  const dashboardData = await page.evaluate(() => {
    return {
      username: document.querySelector('.user-name')?.textContent,
      stats: document.querySelector('.stats')?.textContent,
    }
  })

  // Save cookies for reuse (skip login next time)
  const cookies = await page.cookies()
  await fs.writeFile('cookies.json', JSON.stringify(cookies))

  await browser.close()
  return dashboardData
}

Step 4: Screenshots and PDFs

// capture.js — Generate screenshots and PDFs from web pages
import puppeteer from 'puppeteer'

async function captureScreenshot(url, outputPath) {
  const browser = await puppeteer.launch({ headless: 'new' })
  const page = await browser.newPage()
  await page.setViewport({ width: 1920, height: 1080 })
  await page.goto(url, { waitUntil: 'networkidle2' })

  // Full page screenshot
  await page.screenshot({ path: outputPath, fullPage: true, type: 'png' })

  // Specific element screenshot
  const element = await page.$('.hero-section')
  await element.screenshot({ path: 'hero.png' })

  // Generate PDF (great for invoices, reports)
  await page.pdf({
    path: 'page.pdf',
    format: 'A4',
    printBackground: true,
    margin: { top: '1cm', bottom: '1cm', left: '1cm', right: '1cm' },
  })

  await browser.close()
}

Step 5: Pagination and Crawling

// crawl_paginated.js — Scrape all pages of a paginated listing
import puppeteer from 'puppeteer'

async function crawlAllPages(startUrl) {
  const browser = await puppeteer.launch({ headless: 'new' })
  const page = await browser.newPage()
  const allItems = []
  let currentUrl = startUrl

  while (currentUrl) {
    await page.goto(currentUrl, { waitUntil: 'networkidle2' })

    // Extract items from current page
    const items = await page.evaluate(() => {
      return Array.from(document.querySelectorAll('.item')).map(el => ({
        title: el.querySelector('.title')?.textContent?.trim(),
        url: el.querySelector('a')?.href,
      }))
    })
    allItems.push(...items)
    console.log(`Page scraped: ${items.length} items (total: ${allItems.length})`)

    // Find next page link
    currentUrl = await page.evaluate(() => {
      const next = document.querySelector('a.next-page')
      return next?.href || null
    })

    // Polite delay between pages
    await new Promise(r => setTimeout(r, 2000))
  }

  await browser.close()
  return allItems
}

Step 6: Network Interception

// intercept.js — Block images/ads for faster scraping, capture API responses
import puppeteer from 'puppeteer'

async function scrapeWithInterception(url) {
  const browser = await puppeteer.launch({ headless: 'new' })
  const page = await browser.newPage()

  // Block images, fonts, stylesheets for faster loading
  await page.setRequestInterception(true)
  page.on('request', req => {
    if (['image', 'font', 'stylesheet'].includes(req.resourceType())) {
      req.abort()
    } else {
      req.continue()
    }
  })

  // Capture API responses (often easier than parsing DOM)
  const apiData = []
  page.on('response', async response => {
    if (response.url().includes('/api/products')) {
      const json = await response.json().catch(() => null)
      if (json) apiData.push(json)
    }
  })

  await page.goto(url, { waitUntil: 'networkidle2' })
  await browser.close()
  return apiData
}

Step 7: Stealth Mode

// stealth_scrape.js — Bypass bot detection with puppeteer-extra-plugin-stealth
import puppeteer from 'puppeteer-extra'
import StealthPlugin from 'puppeteer-extra-plugin-stealth'

puppeteer.use(StealthPlugin())

async function stealthScrape(url) {
  const browser = await puppeteer.launch({
    headless: 'new',
    args: [
      '--no-sandbox',
      '--disable-setuid-sandbox',
      '--disable-blink-features=AutomationControlled',
    ],
  })
  const page = await browser.newPage()

  // Randomize viewport slightly
  await page.setViewport({
    width: 1920 + Math.floor(Math.random() * 100),
    height: 1080 + Math.floor(Math.random() * 100),
  })

  await page.goto(url, { waitUntil: 'networkidle2' })
  const content = await page.content()
  await browser.close()
  return content
}

Examples

Example 1: Scrape product prices from a JavaScript-heavy e-commerce site

User prompt: "I need to monitor competitor prices on a site that loads products via JavaScript. Extract product names, prices, and availability from all category pages."

The agent will:

  1. Launch Puppeteer with stealth plugin to avoid bot detection.
  2. Navigate to each category page, wait for product cards to render.
  3. Use
    page.evaluate()
    to extract structured data from the DOM.
  4. Handle pagination by clicking "next page" buttons or scrolling for infinite scroll.
  5. Save results to JSON with timestamps for price tracking over time.

Example 2: Generate PDF reports from a web dashboard

User prompt: "Log into our analytics dashboard every Monday morning and generate a PDF report of the weekly stats."

The agent will:

  1. Launch Puppeteer, navigate to the login page, fill credentials.
  2. Navigate to the weekly report view.
  3. Wait for all charts and data to load (
    waitForSelector
    on chart elements).
  4. Generate a PDF with
    page.pdf()
    using A4 format and print backgrounds enabled.
  5. Save with timestamped filename for archival.

Guidelines

  • Use
    waitUntil: 'networkidle2'
    (2 or fewer network connections for 500ms) instead of
    'load'
    for SPAs — it waits for AJAX calls to finish.
  • Always set
    --no-sandbox
    in Docker/CI environments — Chrome sandboxing requires kernel features not available in containers.
  • For simple HTML scraping (no JavaScript rendering needed), use cheerio instead — it's 100x faster and uses no browser resources.
  • Add delays between page navigations (
    setTimeout
    or
    page.waitForTimeout
    ) to avoid overwhelming target servers and triggering rate limits.
  • Use
    page.setRequestInterception(true)
    to block images, fonts, and CSS when you only need text data — speeds up scraping 3-5x.
  • Capture API responses via
    page.on('response')
    when possible — structured JSON from APIs is more reliable than parsing rendered HTML.
  • For production scraping, use
    puppeteer-extra-plugin-stealth
    to avoid detection. Combine with rotating proxies and user agents for large-scale operations.