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Guide for implementing Cloudflare Browser Rendering - a headless browser automation API for screenshots, PDFs, web scraping, and testing. Use when automating browsers, taking screenshots, generating PDFs, scraping dynamic content, extracting structured data, or testing web applications. Supports REST API, Workers Bindings (Puppeteer/Playwright), MCP servers, and AI-powered automation. (project)
npx skill4agent add akornmeier/claude-config cloudflare-browser-rendering/screenshot/pdf/content/markdown/scrape/links/json/snapshotcurl "https://api.cloudflare.com/client/v4/accounts/{account_id}/browser-rendering/screenshot" \
-H "Authorization: Bearer YOUR_API_TOKEN" \
-H "Content-Type: application/json" \
-d '{"url": "https://example.com"}'name = "browser-worker"
main = "src/index.ts"
compatibility_date = "2024-01-01"
browser = { binding = "MYBROWSER" }
[[kv_namespaces]]
binding = "KV"
id = "your-kv-namespace-id"export default {
async fetch(request: Request, env: Env): Promise<Response> {
const browser = await puppeteer.launch(env.MYBROWSER);
const page = await browser.newPage();
await page.goto('https://example.com', { waitUntil: 'networkidle2' });
const screenshot = await page.screenshot({ type: 'png' });
await browser.close();
return new Response(screenshot, {
headers: { 'Content-Type': 'image/png' },
});
},
};puppeteer.launch(binding)browser.newPage()page.goto(url, options)page.screenshot(options)page.content()page.pdf(options)page.evaluate(fn)browser.disconnect()browser.close()puppeteer.connect(binding, sessionId)// Disconnect instead of close to keep session alive
await browser.disconnect();
// Retrieve and reconnect to existing session
const sessions = await puppeteer.sessions(env.MYBROWSER);
const freeSession = sessions.find((s) => !s.connectionId);
if (freeSession) {
const browser = await puppeteer.connect(env.MYBROWSER, freeSession.sessionId);
}npm create cloudflare@latest -- browser-worker
cd browser-worker
npm install
wrangler dev # Local testing
wrangler deploy # Productionimport { Hono } from 'hono';
const app = new Hono<{ Bindings: Env }>();
app.get('/screenshot/:url', async (c) => {
const browser = await c.env.MYBROWSER.launch();
const page = await browser.newPage();
await page.goto(c.req.param('url'));
await page.waitForLoadState('networkidle');
const screenshot = await page.screenshot({ fullPage: true });
await browser.close();
return c.body(screenshot, 200, {
'Content-Type': 'image/png',
});
});
export default app;expect(page).toHaveTitle()// Save authentication state
const state = await page.context().storageState();
await env.KV.put('auth-state', JSON.stringify(state));
// Restore authentication state
const savedState = await env.KV.get('auth-state', 'json');
const context = await browser.newContext({ storageState: savedState });import { Stagehand } from '@stagehand-ai/stagehand';
const stagehand = new Stagehand(env.MYBROWSER);
await stagehand.init();
// Natural language instructions
await stagehand.act('click the login button');
await stagehand.act('fill in email with user@example.com');
const data = await stagehand.extract('get all product prices');
await stagehand.close();name = "my-browser-worker"
main = "src/index.ts"
compatibility_date = "2024-01-01"
browser = { binding = "MYBROWSER" }browser = { binding = "MYBROWSER" }
[[durable_objects.bindings]]
name = "BROWSER"
class_name = "Browser"
[[r2_buckets]]
binding = "BUCKET"
bucket_name = "my-screenshots"
[[migrations]]
tag = "v1"
new_classes = ["Browser"]goToOptions.timeoutwaitForSelectoractionTimeout// Puppeteer
await page.goto(url, {
timeout: 60000, // 60 seconds
waitUntil: 'networkidle2',
});
await page.waitForSelector('.content', { timeout: 45000 });
// Playwright
await page.goto(url, {
timeout: 60000,
waitUntil: 'networkidle',
});
await page.locator('.element').click({ timeout: 10000 });// Set viewport size
await page.setViewport({ width: 1920, height: 1080 });
// Screenshot options
const screenshot = await page.screenshot({
type: 'png', // "png" | "jpeg" | "webp"
quality: 90, // JPEG/WebP only, 0-100
fullPage: true, // Capture full scrollable page
clip: {
// Crop to specific area
x: 0,
y: 0,
width: 800,
height: 600,
},
});const pdf = await page.pdf({
format: 'A4',
printBackground: true,
margin: {
top: '1cm',
right: '1cm',
bottom: '1cm',
left: '1cm',
},
displayHeaderFooter: true,
headerTemplate: '<div>Header</div>',
footerTemplate: '<div>Footer</div>',
});disconnect()close()export default {
async fetch(request: Request, env: Env): Promise<Response> {
const url = new URL(request.url);
const targetUrl = url.searchParams.get('url');
// Check cache
const cached = await env.KV.get(targetUrl, 'arrayBuffer');
if (cached) {
return new Response(cached, {
headers: { 'Content-Type': 'image/png' },
});
}
// Generate screenshot
const browser = await puppeteer.launch(env.MYBROWSER);
const page = await browser.newPage();
await page.goto(targetUrl);
const screenshot = await page.screenshot();
await browser.close();
// Cache for 24 hours
await env.KV.put(targetUrl, screenshot, {
expirationTtl: 86400,
});
return new Response(screenshot, {
headers: { 'Content-Type': 'image/png' },
});
},
};async function generateCertificate(name: string, env: Env) {
const browser = await puppeteer.launch(env.MYBROWSER);
const page = await browser.newPage();
const html = `
<!DOCTYPE html>
<html>
<head>
<style>
body { font-family: Arial; text-align: center; padding: 50px; }
h1 { color: #2c3e50; font-size: 48px; }
</style>
</head>
<body>
<h1>Certificate of Achievement</h1>
<p>Awarded to: <strong>${name}</strong></p>
</body>
</html>
`;
await page.setContent(html);
const pdf = await page.pdf({
format: 'A4',
printBackground: true,
});
await browser.close();
return pdf;
}import { Ai } from '@cloudflare/ai';
export default {
async fetch(request: Request, env: Env): Promise<Response> {
// Render page with Browser Rendering
const browser = await puppeteer.launch(env.MYBROWSER);
const page = await browser.newPage();
await page.goto('https://news.ycombinator.com');
const content = await page.content();
await browser.close();
// Extract data with Workers AI
const ai = new Ai(env.AI);
const response = await ai.run('@hf/thebloke/deepseek-coder-6.7b-instruct-awq', {
messages: [
{
role: 'system',
content: 'Extract top 5 article titles and URLs as JSON array',
},
{
role: 'user',
content: content,
},
],
});
return Response.json(response);
},
};export default {
async queue(batch: MessageBatch<any>, env: Env): Promise<void> {
const browser = await puppeteer.launch(env.MYBROWSER);
for (const message of batch.messages) {
const page = await browser.newPage();
await page.goto(message.body.url);
// Extract links
const links = await page.evaluate(() => {
return Array.from(document.querySelectorAll('a')).map((a) => a.href);
});
// Queue new links
for (const link of links) {
await env.QUEUE.send({ url: link });
}
await page.close();
}
await browser.close();
},
};export class Browser {
state: DurableObjectState;
browser: any;
lastUsed: number;
constructor(state: DurableObjectState, env: Env) {
this.state = state;
this.lastUsed = Date.now();
}
async fetch(request: Request, env: Env) {
// Initialize browser on first request
if (!this.browser) {
this.browser = await puppeteer.launch(env.MYBROWSER);
}
// Set keep-alive alarm
this.lastUsed = Date.now();
await this.state.storage.setAlarm(Date.now() + 10000);
const page = await this.browser.newPage();
await page.goto(new URL(request.url).searchParams.get('url'));
const screenshot = await page.screenshot();
await page.close();
return new Response(screenshot, {
headers: { 'Content-Type': 'image/png' },
});
}
async alarm() {
// Close browser if idle for 60 seconds
if (Date.now() - this.lastUsed > 60000) {
await this.browser?.close();
this.browser = null;
} else {
await this.state.storage.setAlarm(Date.now() + 10000);
}
}
}disconnect()close()waitUntilpage.goto(url, { timeout: 60000 }){ waitUntil: "domcontentloaded" }await page.close()await browser.disconnect()urlwaitDelaygoto.timeoutgoto.waitUntilpuppeteer.launch(binding)puppeteer.connect(binding, sessionId)puppeteer.sessions(binding)browser.newPage()browser.disconnect()browser.close()page.goto(url, options)page.screenshot(options)page.pdf(options)page.content()page.evaluate(fn)env.MYBROWSER.launch()browser.newPage()browser.newContext(options)page.goto(url, options)page.screenshot(options)page.pdf(options)page.locator(selector)page.waitForLoadState(state)context.storageState()<link href="https://fonts.googleapis.com/css2?family=Poppins" rel="stylesheet" />npm install -g wranglerwrangler loginnpm create cloudflare@latestwrangler.tomlwrangler devwrangler deploywrangler.toml@cloudflare/puppeteer@cloudflare/workers-playwrightdisconnect()wrangler devwrangler deploy