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Cloudflare Browser Rendering

Community
secondsky
cloudflare-browser-rendering

Cloudflare Browser Rendering with Puppeteer/Playwright. Use for screenshots, PDFs, web scraping, or encountering rendering errors, timeout issues, memory exceeded.

Overview

Publishersecondsky
Repositoryclaude-skills
Skill namecloudflare-browser-rendering
Stars
219
Forks
31
Bundled files
16
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 16 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by secondsky on GitHub. Read the source before you install it.

Installation

Install the Cloudflare Browser Rendering AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/secondsky/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/plugins/cloudflare-browser-rendering/skills/cloudflare-browser-rendering .claude/skills/cloudflare-browser-rendering
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cloudflare Browser Rendering in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Cloudflare Browser Rendering on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Cloudflare Browser Rendering is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Cloudflare Browser Rendering - Complete Reference

Production-ready knowledge domain for building browser automation workflows with Cloudflare Browser Rendering.

Status: Production Ready ✅ Last Updated: 2025-11-25 Dependencies: cloudflare-worker-base (for Worker setup) Latest Versions: @cloudflare/puppeteer@1.0.4, @cloudflare/playwright@1.0.0, wrangler@4.81.0, @cloudflare/workers-types@4.20260408.0


Table of Contents

  1. Quick Start (5 minutes)
  2. Browser Rendering Overview
  3. Puppeteer API Reference
  4. Playwright API Reference
  5. Session Management
  6. Common Patterns
  7. Pricing & Limits
  8. Known Issues Prevention
  9. Production Checklist

Quick Start (5 minutes)

1. Add Browser Binding

wrangler.jsonc:

jsonc
{
  "name": "browser-worker",
  "main": "src/index.ts",
  "compatibility_date": "2023-03-14",
  "compatibility_flags": ["nodejs_compat"],
  "browser": {
    "binding": "MYBROWSER"
  }
}

Why nodejs_compat? Browser Rendering requires Node.js APIs and polyfills.

2. Install Puppeteer

bash
bun add @cloudflare/puppeteer

3. Take Your First Screenshot

typescript
import puppeteer from "@cloudflare/puppeteer";

interface Env {
  MYBROWSER: Fetcher;
}

export default {
  async fetch(request: Request, env: Env): Promise<Response> {
    const { searchParams } = new URL(request.url);
    const url = searchParams.get("url") || "https://example.com";

    // Launch browser
    const browser = await puppeteer.launch(env.MYBROWSER);
    const page = await browser.newPage();

    // Navigate and capture
    await page.goto(url);
    const screenshot = await page.screenshot();

    // Clean up
    await browser.close();

    return new Response(screenshot, {
      headers: { "content-type": "image/png" }
    });
  }
};

4. Deploy

bash
bunx wrangler deploy

Test at: https://your-worker.workers.dev/?url=https://example.com

CRITICAL:

  • Always pass env.MYBROWSER to puppeteer.launch() (not undefined)
  • Always call browser.close() when done (or use browser.disconnect() for session reuse)
  • Use nodejs_compat compatibility flag

When to Load References

Load immediately when user mentions:

  • puppeteer-api.md → "API reference", "Puppeteer methods", "Browser class", "Page methods", "complete API"
  • patterns.md → "examples", "how to", "screenshot", "PDF", "scraping", "automation", "form filling"
  • session-management.md → "sessions", "hibernation", "connection pooling", "state management", "Durable Objects"
  • pricing-and-limits.md → "cost", "pricing", "limits", "quotas", "billing", "rate limits"
  • common-errors.md → errors, debugging, "not working", troubleshooting, "issue #4", "issue #5", "issue #6"
  • puppeteer-vs-playwright.md → "Playwright", "comparison", "which library", "differences"

Load proactively when:

  • Building new automation → Load patterns.md
  • Debugging errors → Load common-errors.md
  • Optimizing costs → Load pricing-and-limits.md
  • Managing sessions → Load session-management.md
  • Need complete API → Load puppeteer-api.md

Browser Rendering Overview

What is Browser Rendering?

Cloudflare Browser Rendering provides headless Chromium browsers running on Cloudflare's global network. Use familiar tools like Puppeteer and Playwright to automate browser tasks:

  • Screenshots - Capture visual snapshots of web pages
  • PDF Generation - Convert HTML/URLs to PDFs
  • Web Scraping - Extract content from dynamic websites
  • Testing - Automate frontend tests
  • Crawling - Navigate multi-page workflows

Two Integration Methods

MethodBest ForComplexity
Workers BindingsComplex automation, custom workflows, session managementAdvanced
REST APISimple screenshot/PDF tasksSimple

This skill covers Workers Bindings (the advanced method with full Puppeteer/Playwright APIs).

Puppeteer vs Playwright

FeaturePuppeteerPlaywright
API FamiliarityMost popularGrowing adoption
Package@cloudflare/puppeteer@1.0.4@cloudflare/playwright@1.0.0
Session Management✅ Advanced APIs⚠️ Basic
Browser SupportChromium onlyChromium only (Firefox/Safari not yet supported)
Best ForScreenshots, PDFs, scrapingTesting, frontend automation

Recommendation: Use Puppeteer for most use cases. Playwright is ideal if you're already using it for testing.


Puppeteer API Reference

Core classes for browser automation:

  1. Core Functions - launch(), connect(), sessions(), history(), limits()
  2. Browser API - newPage(), sessionId(), close(), disconnect(), createBrowserContext()
  3. Page API - goto(), screenshot(), pdf(), content(), setContent(), evaluate(), waitForSelector(), type(), click()

Quick Example:

typescript
const browser = await puppeteer.launch(env.MYBROWSER);
const page = await browser.newPage();
await page.goto("https://example.com");
const screenshot = await page.screenshot({ fullPage: true });
await browser.close();

Load references/puppeteer-api.md when implementing browser automation, scraping, debugging Puppeteer-specific issues, or needing complete API signatures and method details.


Playwright API Reference

Playwright provides a similar API to Puppeteer with slight differences.

Installation

bash
bun add @cloudflare/playwright

Basic Example

typescript
import { env } from "cloudflare:test";
import { chromium } from "@cloudflare/playwright";

interface Env {
  BROWSER: Fetcher;
}

export default {
  async fetch(request: Request, env: Env): Promise<Response> {
    const browser = await chromium.launch(env.BROWSER);
    const page = await browser.newPage();

    await page.goto("https://example.com");
    const screenshot = await page.screenshot();

    await browser.close();

    return new Response(screenshot, {
      headers: { "content-type": "image/png" }
    });
  }
};

Key Differences from Puppeteer

FeaturePuppeteerPlaywright
Importimport puppeteer from "@cloudflare/puppeteer"import { chromium } from "@cloudflare/playwright"
Launchpuppeteer.launch(env.MYBROWSER)chromium.launch(env.BROWSER)
Session API✅ Advanced (sessions, history, limits)⚠️ Basic
Auto-waitingManual waitForSelector()Built-in auto-waiting
SelectorsCSS onlyCSS, text, XPath (via evaluate workaround)

Recommendation: Stick with Puppeteer unless you have existing Playwright tests to migrate.


Session Management

Browser sessions are managed using Durable Objects for state persistence across multiple requests. Sessions support hibernation, automatic cleanup, and concurrent connection handling.

Key Patterns:

  • Session Reuse - Use puppeteer.sessions() and puppeteer.connect() to reuse browsers
  • Browser Contexts - Isolate cookies/cache while sharing browser instance
  • Multiple Tabs - Use tabs (newPage()) instead of multiple browsers for batch operations
  • Disconnect vs Close - Use disconnect() to keep session alive, close() to terminate

Load references/session-management.md for complete session lifecycle management, hibernation patterns, connection pooling strategies, and production examples.


Common Patterns

6 production-ready browser automation patterns:

  1. Screenshot with KV Caching - Cache screenshots for high-traffic URLs, reduce browser usage
  2. PDF Generation from HTML - Convert custom HTML to PDF for invoices, reports, documents
  3. Web Scraping with Structured Data - Extract product information, prices, content from web pages
  4. Batch Scraping Multiple URLs - Efficiently scrape multiple sites using tabs in single browser
  5. AI-Enhanced Scraping - Combine Browser Rendering with Workers AI for adaptive data extraction
  6. Form Filling and Automation - Automate login flows, form submissions, multi-step workflows

Quick Example (Screenshot with caching):

typescript
const browser = await puppeteer.launch(env.MYBROWSER);
const page = await browser.newPage();
await page.goto(url);
const screenshot = await page.screenshot({ fullPage: true });
await env.CACHE.put(url, screenshot, { expirationTtl: 86400 });
await browser.close();

Load references/patterns.md when implementing browser automation patterns, scraping, PDF generation, or needing complete production examples with error handling and optimizations.


Pricing & Limits

Browser Rendering charges based on CPU time (paid plans only). Free tier: 10 minutes/day. Paid tier: 10 hours/month included, then $0.09 per browser hour + $2.00 per concurrent browser above 10.

Load references/pricing-and-limits.md for complete pricing tiers, quota details, rate limiting strategies, and cost optimization techniques.


Known Issues Prevention

This skill prevents 6 documented issues. Top 3 critical errors detailed below:


Issue #1: XPath Selectors Not Supported ⚠️

Error: "XPath selector not supported" or selector failures Source: https://developers.cloudflare.com/browser-rendering/faq/#why-cant-i-use-an-xpath-selector-when-using-browser-rendering-with-puppeteer Why It Happens: XPath poses a security risk to Workers Prevention: Use CSS selectors or page.evaluate() with XPathEvaluator

Solution:

typescript
// ❌ Don't use XPath directly (not supported)
// await page.$x('/html/body/div/h1')

// ✅ Use CSS selector
const heading = await page.$("div > h1");

// ✅ Or use XPath in page.evaluate()
const innerHtml = await page.evaluate(() => {
  return new XPathEvaluator()
    .createExpression("/html/body/div/h1")
    .evaluate(document, XPathResult.FIRST_ORDERED_NODE_TYPE)
    .singleNodeValue.innerHTML;
});

Issue #2: Browser Binding Not Passed ⚠️

Error: "Cannot read properties of undefined (reading 'fetch')" Source: https://developers.cloudflare.com/browser-rendering/faq/#cannot-read-properties-of-undefined-reading-fetch Why It Happens: puppeteer.launch() called without browser binding Prevention: Always pass env.MYBROWSER to launch

Solution:

typescript
// ❌ Missing browser binding
const browser = await puppeteer.launch(); // Error!

// ✅ Pass binding
const browser = await puppeteer.launch(env.MYBROWSER);

Issue #3: Browser Timeout (60 seconds) ⚠️

Error: Browser closes unexpectedly after 60 seconds Source: https://developers.cloudflare.com/browser-rendering/platform/limits/#note-on-browser-timeout Why It Happens: Default timeout is 60 seconds of inactivity Prevention: Use keep_alive option to extend up to 10 minutes

Solution:

typescript
// Extend timeout to 5 minutes for long-running tasks
const browser = await puppeteer.launch(env.MYBROWSER, {
  keep_alive: 300000 // 5 minutes = 300,000 ms
});

Note: Browser closes if no devtools commands for the specified duration.


Additional Issues (4-6)

Load references/common-errors.md for complete error catalog including:

  • Issue #4: Concurrency limits and rate limiting
  • Issue #5: Local development request size limits
  • Issue #6: Bot protection and WAF bypass strategies

Plus solutions for page crashes, authentication issues, resource loading errors, and debugging strategies.


Production Checklist

Critical Items Before Deployment:

  • ✅ Browser binding + nodejs_compat flag configured
  • ✅ Error handling with try-finally cleanup
  • ✅ Rate limit checks and retry logic
  • ✅ Session reuse for performance
  • ✅ KV caching for repeated operations
  • ✅ Input validation (prevent SSRF)
  • ✅ Monitoring dashboard at https://dash.cloudflare.com

Load references/patterns.md for production-ready templates with complete error handling, monitoring, and security patterns.


Dependencies

Required: @cloudflare/puppeteer@1.0.4, wrangler@4.81.0, @cloudflare/workers-types@4.20260408.0 Related Skills: cloudflare-worker-base (Worker setup), cloudflare-kv (caching), cloudflare-workers-ai (AI scraping)


Official Documentation


Package Versions (Verified 2025-11-27)

json
{
  "dependencies": {
    "@cloudflare/puppeteer": "^1.0.4"
  },
  "devDependencies": {
    "@cloudflare/workers-types": "^4.20260408.0",
    "wrangler": "^4.81.0"
  }
}

Alternative (Playwright):

json
{
  "dependencies": {
    "@cloudflare/playwright": "^1.0.0"
  }
}

Troubleshooting

Problem: "Cannot read properties of undefined (reading 'fetch')"

Solution: Pass browser binding to puppeteer.launch():

typescript
const browser = await puppeteer.launch(env.MYBROWSER); // Not just puppeteer.launch()

Problem: XPath selectors not working

Solution: Use CSS selectors or page.evaluate() with XPathEvaluator (see Issue #1)

Problem: Browser closes after 60 seconds

Solution: Extend timeout with keep_alive:

typescript
const browser = await puppeteer.launch(env.MYBROWSER, { keep_alive: 300000 });

Problem: Rate limit reached

Solution: Reuse sessions, use tabs, check limits before launching (see Issue #4)

Problem: Local dev request > 1MB fails

Solution: Enable remote binding in wrangler.jsonc:

jsonc
{ "browser": { "binding": "MYBROWSER", "remote": true } }

Problem: Website blocks as bot

Solution: Cannot bypass. If your own zone, create WAF skip rule (see Issue #6)


Questions? Issues?

  1. Check references/common-errors.md for detailed solutions
  2. Review references/session-management.md for performance optimization
  3. Verify browser binding is configured in wrangler.jsonc
  4. Check official docs: https://developers.cloudflare.com/browser-rendering/
  5. Ensure nodejs_compat compatibility flag is enabled

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Cloudflare Browser Rendering AI skill do?

Cloudflare Browser Rendering with Puppeteer/Playwright. Use for screenshots, PDFs, web scraping, or encountering rendering errors, timeout issues, memory exceeded.

Why use Cloudflare Browser Rendering on TypingMind?

Because you install it once and use it with any model. Cloudflare Browser Rendering is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Cloudflare Browser Rendering in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/secondsky/claude-skills/tree/main/plugins/cloudflare-browser-rendering/skills/cloudflare-browser-rendering. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Cloudflare Browser Rendering?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Cloudflare Browser Rendering?

As many as you like. As long as a model supports skills, you can use Cloudflare Browser Rendering with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cloudflare Browser Rendering AI skill free?

Yes. It is published on GitHub by secondsky under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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