Best Browserbase Alternative: A Production Runtime Guide

# Best Browserbase Alternative: A Production Runtime Guide

If you are searching for the best Browserbase alternative, you have probably hit one of three walls: per-session pricing that scales faster than your traffic, a feature gap in how you control the browser, or a need to self-host that the managed model does not satisfy. This guide compares the realistic options — Browserbase, Browserless, Steel, Hyperbrowser, Anchor, and Remote Browser — on the criteria that actually decide whether an AI agent runtime survives production: CDP fidelity, session isolation, profile persistence, proxy control, and how you pay. It is written for engineers who already have a working browser-use or Playwright script and need to move it off a laptop.

The short version: there is no single "best" runtime. There is a best runtime for your workload. A QA harness running 40 tests a night has different requirements than an agent that visits thousands of protected sites a day. The rest of this post gives you the criteria to make that call yourself.

What "best" actually means for a hosted browser runtime

Most comparison posts rank providers on a single benchmark number. That number is useful, but it is a proxy. What you are really buying is a remote Chromium instance you can drive over the Chrome DevTools Protocol, plus the operational scaffolding around it: session lifecycle, network egress, storage, and observability. When you evaluate the best Browserbase alternative, score each provider on these axes:

• CDP fidelity. Can you connect with playwright.chromium.connectOverCDP() or Puppeteer's browserWSEndpoint and get the full protocol, or only a curated subset? Any abstraction that hides CDP will eventually block a task.
• Session isolation. Does each session get a clean browser context, or can state leak between runs? For agents handling authenticated workflows, this is a security boundary, not a convenience.
• Profile persistence. Can you save cookies, localStorage, and IndexedDB across sessions so an agent does not re-authenticate every run?
• Network control. Do you get configurable proxy settings and browser-level settings you can tune per workload, or a fixed egress pool?
• Observability. Is there a live viewer you can attach to mid-session, and can you record and replay a run when an agent fails?
• Pricing model. Per browser-hour, per session, per solved task, or subscription? The model matters more than the headline rate because agent workloads are bursty.

If a provider scores well on CDP fidelity and isolation but poorly on pricing for your traffic shape, it is not the best option for you — even if it is the best option for someone else.

How the major runtimes compare

The table below summarizes the positioning of the providers most often compared to Browserbase. Treat the "best fit" column as a starting hypothesis, not a verdict; verify current limits and pricing on each vendor's site before committing.

A few notes on reading this table. "CDP access" means you can attach a standard client library, not that every provider exposes every domain identically — test the specific commands your agent relies on. "Self-host" is a real differentiator: if your compliance posture requires the browser to run inside your VPC, only Browserless and Steel are viable from this list, and you should plan for the operational cost of running Chromium at scale yourself.

If you want a deeper walkthrough of the runtime layer itself, the remote browser for AI agents post covers what a hosted session actually provides.

The self-host question: Browserless, Steel, and open-source browser-use

A large share of "best Browserbase" searches come from teams that want to self-host Browserless or run an open-source browser-use stack. That is a legitimate path, and it is worth being honest about the trade-offs.

Self-hosting gives you control over the Chromium build, the network, and the data plane. It also gives you the pager. Running Chromium at concurrency means managing memory pressure (each headless instance can consume several hundred megabytes), zombie processes, browser crashes mid-task, proxy configuration, and a queue that does not starve. Steel and Browserless both reduce this work by giving you a container you can run, but you still own scheduling, scaling, and upgrades.

The open-source browser-use library is a different layer — it is the agent framework, not the runtime. You can point it at any CDP endpoint, which is exactly why the runtime choice is separable. If you are evaluating open-source browser-use against a managed runtime, the question is not "which is better" but "do I want to operate the browser fleet." For most teams shipping an agent product, the answer is no, and the managed runtime wins on time-to-production even at a higher per-hour rate.

If you do self-host, budget for the boring parts: health checks that restart dead browsers, a session store that survives worker restarts, and log aggregation that lets you reconstruct a failed run. Those are the features a managed runtime bundles in.

Connecting an agent over CDP

The reason CDP fidelity matters is that it lets you keep your existing client code. Whether you use Playwright, Puppeteer, or Selenium, you connect to a remote endpoint and drive it the same way you drive a local browser. Here is a TypeScript example using Playwright's connectOverCDP, which is the standard path for attaching to a hosted Chromium session:

import { chromium, Browser, BrowserContext, Page } from "playwright";

interface SessionInfo {
  cdpUrl: string;
  sessionId: string;
}

async function runAgentTask(session: SessionInfo): Promise<void> {
  let browser: Browser | undefined;

  try {
    // Connect to the hosted Chromium instance over CDP.
    browser = await chromium.connectOverCDP(session.cdpUrl, {
      timeout: 30_000,
    });

    // Reuse the default context so persistent profile state is available.
    const context: BrowserContext = browser.contexts()[0];
    const page: Page = context.pages()[0] ?? (await context.newPage());

    await page.goto("https://example.com/login", {
      waitUntil: "domcontentloaded",
    });

    await page.fill("#email", process.env.AGENT_EMAIL!);
    await page.fill("#password", process.env.AGENT_PASSWORD!);
    await page.click("button[type=submit]");

    // Wait on a concrete signal, not a fixed timeout.
    await page.waitForSelector("[data-testid=dashboard]", {
      timeout: 15_000,
    });

    console.log("task complete", await page.title());
  } catch (err) {
    // Surface the session ID so you can attach the live viewer.
    console.error("agent task failed", session.sessionId, err);
    throw err;
  } finally {
    // Disconnect without killing the remote browser if you want to resume.
    await browser?.close();
  }
}

Two implementation details are worth calling out. First, connectOverCDP returns a Browser whose contexts() may already contain a context — do not assume you need to create one, or you will lose the persistent profile. Second, browser.close() on a CDP connection disconnects your client; whether it terminates the remote session depends on the provider. Check the session lifecycle docs before relying on either behavior. The Playwright CDP documentation is the authoritative reference for the client side.

For the protocol itself — the domains, commands, and events your agent can use — the Chrome DevTools Protocol documentation is the source of truth. If your agent needs a CDP domain that a provider does not expose, you will find out the hard way in production.

Production criteria that benchmarks miss

Benchmarks like Stealth Bench or internal task suites measure whether an agent completes a task on a given site. They are useful signals, but they do not tell you whether a runtime will hold up under your specific failure modes. Here is what to check before you commit.

Session lifecycle and resumption

Agent tasks are long and failure-prone. You need to know: what happens to a session when your worker crashes? Can you reconnect to the same session by ID? Is there a maximum session duration, and what happens at the boundary? A runtime that silently kills sessions at 30 minutes will break multi-step workflows that legitimately take longer.

Profile persistence

If your agent logs into a site once and then runs daily, persistent profiles save you the login flow and reduce the chance of triggering bot detection. Confirm how profiles are stored, whether they are scoped per session or per project, and how you delete them. This is also a data-retention question — profiles contain cookies and tokens.

Proxy and network configuration

Residential and datacenter proxies behave differently on different sites. Look for configurable browser settings and per-session proxy assignment rather than a single shared egress. Ask providers to document exactly which browser settings they expose and how proxy assignment works per session, so you can verify behavior against your own targets.

Observability

A live viewer that lets you watch a session in real time is the fastest debugging tool you will have. Pair it with session recording so you can replay a failed run. If a provider offers neither, you are debugging blind.

Usage controls

You need spend and concurrency controls that match your traffic. Whether that is per-project quotas, concurrency caps, or usage alerts, confirm the mechanism before you scale. Remote Browser exposes usage controls and current pricing on the pricing page; check there for the numbers rather than relying on any comparison table, including this one.

Where Remote Browser fits

Remote Browser is a hosted Chromium runtime built for browser-use and Playwright workloads. It provides CDP access so your existing client code works unchanged, session isolation so agent runs do not leak state, persistent profiles for authenticated workflows, configurable proxy and browser settings, a live viewer for debugging, and usage controls for spend. It is a managed runtime — if you need to self-host, Browserless or Steel are the better fit, and we would rather say so than pretend otherwise.

The practical positioning is this: if you have a working agent and you are tired of managing Chromium processes, Remote Browser is the shortest path from local script to hosted session. You paste a connection URL, connect over CDP, and your code runs against a real browser in the cloud. For a step-by-step setup, see remote browser online, and for driving sessions interactively, remote control browser. The full API surface is documented at /documentation.

A decision checklist

Before you pick a runtime, answer these questions in writing:

1. Do you need to self-host? If yes, the field narrows to Browserless and Steel. If no, evaluate managed runtimes on the criteria above.
2. What CDP commands does your agent use? List them and test each against a candidate runtime. Do not assume parity.
3. How long do your sessions run? Check maximum duration and resumption behavior against your longest task.
4. Do you need persistent profiles? If yes, confirm storage scope and deletion semantics.
5. What is your traffic shape? Bursty agent traffic and steady QA traffic price differently. Model your monthly browser-hours against each provider's model.
6. How will you debug a failure? Confirm live viewer and recording availability before you need them.

The best Browserbase alternative is the one that answers "yes" to the questions your workload actually asks. For most AI agent teams, that means a managed runtime with full CDP access, session isolation, persistent profiles, and transparent usage-based pricing — and the discipline to test those properties against your own tasks rather than a vendor's benchmark.