Getting Started with Browserize

Virtual browsers are the backbone of modern web automation — AI agents browse the web, scrapers extract data, and testing frameworks validate UI. But setting up a browser infrastructure has always been a pain: Dockerfiles, xvfb dependencies, VNC configuration, networking...

Browserize eliminates all of that. You get a fully-managed, cloud-hosted browser in one API call. This guide walks you through your first deployment.

Step 1: Get Your API Key

Head to your project dashboard and generate an API key. Keys are scoped to a single project and grant full access to all browser operations. Keep them secure — treat them like passwords.

Step 2: Create a Browser

With your API key ready, creating a browser is a single POST request:

curl -X POST https://browserize.com/api/v1/browsers \
  -H "Authorization: Bearer sk-brz-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{"name": "my-first-browser"}'

That's it. The API returns a browser ID immediately. Behind the scenes, your browser is being provisioned on our edge network and will transition through Starting → Running automatically.

Step 3: Connect and Automate

Once running, you can connect via CDP (Chrome DevTools Protocol) using Playwright or Puppeteer:

import { chromium } from "playwright";

const browser = await chromium.connectOverCDP(
  "wss://connect.browserize.com?apiKey=sk-brz-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
);

const page = await browser.newPage();
await page.goto("https://example.com");
console.log(await page.title());

// Done? Stop the browser to avoid billing
await fetch("https://browserize.com/api/v1/browsers/{id}/stop", {
  method: "PUT",
  headers: { Authorization: "Bearer sk-brz-xxx" },
});

What's Next?

From here you can scale horizontally — create multiple browsers for parallel scraping, attach MCP servers for AI agent tool use, or fine-tune resource limits for performance-critical workloads. Check the full API reference for details on every endpoint.