Cloudflare Docs
Browser Rendering
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Reuse sessions

The best way to improve the performance of your browser rendering worker is to reuse sessions. One way to do that is via Durable Objects, which allows you to keep a long running connection from a worker to a browser. Another way is to keep the browser open after you’ve finished with it, and connect to that session each time you have a new request.

In short, this entails using browser.disconnect() instead of browser.close(), and, if there are available sessions, using puppeteer.connect(env.MY_BROWSER, sessionID) instead of launching a new browser session.

​​ 1. Create a Worker project

Cloudflare Workers provides a serverless execution environment that allows you to create new applications or augment existing ones without configuring or maintaining infrastructure. Your Worker application is a container to interact with a headless browser to do actions, such as taking screenshots.

Create a new Worker project named browser-worker by running:

$ npm create cloudflare@latest
$ yarn create cloudflare

​​ 2. Install Puppeteer

In your browser-worker directory, install Cloudflare’s fork of Puppeteer:

$ npm install @cloudflare/puppeteer --save-dev

​​ 3. Configure wrangler.toml

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

​​ 4. Code

The script below starts by fetching the current running sessions. If there are any that don’t already have a worker connection, it picks a random session ID and attempts to connect (puppeteer.connect(..)) to it. If that fails or there were no running sessions to start with, it launches a new browser session (puppeteer.launch(..)). Then, it goes to the website and fetches the dom. Once that’s done, it disconnects (browser.disconnect()), making the connection available to other workers.

Take into account that if the browser is idle, i.e. does not get any command, for more than the current limit, it will close automatically, so you must have enough requests per minute to keep it alive.

import puppeteer from "@cloudflare/puppeteer";
interface Env {
export default {
async fetch(request: Request, env: Env) {
const url = new URL(request.url);
let reqUrl = url.searchParams.get("url") || '';
reqUrl = new URL(reqUrl).toString(); // normalize
// Pick random session from open sessions
let sessionId = await this.getRandomSession(env.MYBROWSER)
let browser, launched
if (sessionId) {
try {
browser = await puppeteer.connect(env.MYBROWSER, sessionId)
} catch (e) {
// another worker may have connected first
console.log(`Failed to connect to ${sessionId}. Error ${e}`)
if (!browser) {
// No open sessions, launch new session
browser = await puppeteer.launch(env.MYBROWSER)
launched = true
sessionId = browser.sessionId() // get current session id
// Do your work here
const page = await browser.newPage();
const response = await page.goto(reqUrl);
const html = await response!.text()
// All work done, so free connection (IMPORTANT!)
await browser.disconnect()
return new Response(`${launched ? 'Launched' : 'Connected to'} ${sessionId} \n-----\n` + html, {
headers: {
"content-type": "text/plain",
// Pick random free session
// Other custom logic could be used instead
async getRandomSession(endpoint: puppeteer.BrowserWorker): Promise<string> {
const sessions: puppeteer.ActiveSession[] = await puppeteer.sessions(endpoint);
console.log(`Sessions: ${JSON.stringify(sessions)}`)
const sessionsIds = sessions
.filter(v => {
return !v.connectionId; // remove sessions with workers connected to them
.map(v => {
return v.sessionId;
if (sessionsIds.length === 0) {
const sessionId = sessionsIds[Math.floor(Math.random() * sessionsIds.length)];
return sessionId!;

Besides puppeteer.sessions(), we’ve added other methods to facilitate session management - check them out here.

​​ 5. Test

Run npx wrangler dev --remote to test your Worker locally before deploying to Cloudflare’s global network.

To test go to the following URL:


​​ 6. Deploy

Run npx wrangler deploy to deploy your Worker to the Cloudflare global network and then to go to the following URL: