Comparison Browserbase: Choosing a Hosted Browser Runtime

# Comparison Browserbase: Choosing a Hosted Browser Runtime

If you are evaluating a comparison browserbase against other hosted browser runtimes, the real question is not which vendor has the longest feature list. It is which runtime keeps an AI agent's browser session alive, debuggable, and affordable when the workload moves from a demo to production. This guide compares Browserbase with Browserless, Steel, Kernel, Hyperbrowser, Anchor, and Remote Browser on the criteria that actually break agent workflows: CDP access, session lifecycle, profile persistence, proxy handling, and how you pay for browser time.

The short version: Browserbase is a mature, well-documented hosted browser platform with strong session tooling. It is a reasonable default if you want a managed control plane and are comfortable with its pricing model. It is less compelling if you need tight cost control per browser-hour, want to self-host, or are running browser-use style agents where the runtime is one component of a larger stack. Remote Browser sits in that second category — a hosted Chromium runtime you connect to over CDP, with Playwright, Puppeteer, and Selenium compatibility, a live viewer, persistent profiles, and configurable browser settings.

What "Browserbase" actually refers to

Browserbase is a cloud browser platform. You create a session through its API, receive a connection endpoint, and drive a remote Chromium instance with Playwright, Puppeteer, or Selenium over the Chrome DevTools Protocol. It adds session management, a debugging view, proxy configuration, and project-level controls on top of raw Chromium.

That framing matters for the comparison, because most "Browserbase alternatives" are not competitors to Browserbase the product — they are competitors to the *category*. Browserless, Steel, Kernel, Hyperbrowser, Anchor, and Remote Browser all occupy the same slot: a managed or self-hostable Chromium endpoint that your agent code connects to. The differences are in lifecycle semantics, protocol surface, and economics.

If you are new to the category, the remote browser for AI agents overview explains why agents need a dedicated runtime rather than a local Chrome instance.

The comparison criteria that matter

Before the table, here is what to evaluate. These are the dimensions that cause production incidents.

• CDP fidelity. Does the runtime expose a real CDP endpoint, or a proprietary abstraction? If it is real CDP, connectOverCDP and browserWSEndpoint work unchanged, and you keep your existing Playwright/Puppeteer code.
• Session lifecycle. How are sessions created, kept alive, and torn down? Can a session survive a worker restart? Is there a hard idle timeout?
• Profile persistence. Can you reuse cookies, localStorage, and auth state across sessions, or do you re-authenticate every run?
• Proxy and network controls. Per-session proxies, residential vs datacenter, and whether the runtime handles proxy auth for you.
• Observability. Live viewer, session recording, console/network logs. When an agent fails at step 14, you need to see what happened.
• Pricing model. Per browser-hour, per session, per solved task, or subscription. This is where the category diverges most.
• Self-host option. Some teams need to run the runtime in their own VPC for data residency or cost reasons.

Comparison table: hosted browser runtimes

Two caveats on this table. First, "self-host" for Browserless and Steel means you run the container and own the operational burden — that is a real cost, not a free option. Second, session-start latency and stealth success rates change frequently; treat any single number as a snapshot, not a permanent property. If you see a benchmark claim, check the methodology and the date.

Where Browserbase is strong

Browserbase earned its position. A few things it does well:

• Documentation and SDK ergonomics. The API surface is small and the examples are copy-pasteable. For a team shipping its first agent, that reduces time-to-first-session.
• Debugging tooling. Session replay and a live view make it easier to diagnose agent failures without instrumenting everything yourself.
• Ecosystem familiarity. Because it is widely used, you will find community answers, integrations, and examples for common frameworks.

If your team values a managed control plane and predictable onboarding over per-hour cost optimization, Browserbase is a defensible choice. The comparison is not "Browserbase bad, alternative good." It is about fit.

Where the trade-offs show up

The friction appears in three places.

Cost at scale. Managed browser platforms typically meter by browser-hour or session. Agent workloads are bursty and can hold sessions open while waiting on model inference — time the browser is idle but still billed. If your agent spends 40 seconds thinking between actions, you are paying for that. This is the single most common reason teams look for alternatives. See how remote browser pricing works for the metering model Remote Browser uses.

Protocol lock-in. If a platform wraps CDP in a proprietary API, migrating later means rewriting your automation layer. Prefer runtimes that expose a raw CDP endpoint so your Playwright or Puppeteer code is portable.

Self-host requirements. Regulated teams sometimes cannot send session data to a third-party control plane. Browserless and Steel address this; Browserbase and most managed alternatives do not.

Connecting to a hosted runtime over CDP

The practical test of any runtime is whether your existing code connects with minimal change. Here is a Playwright example that connects to a hosted Chromium endpoint over CDP, creates a context, and runs a task. This pattern works against any CDP-compatible runtime, including Remote Browser.

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

interface SessionInfo {
  cdpUrl: string; // e.g. wss://<host>/devtools/browser/<id>
}

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

  try {
    // connectOverCDP attaches to an already-running remote browser.
    browser = await chromium.connectOverCDP(session.cdpUrl, {
      timeout: 30_000,
    });

    // Reuse the default context the remote browser already created,
    // or create a new one for isolation.
    context = browser.contexts()[0] ?? (await browser.newContext());

    const page: Page = await context.newPage();
    await page.goto("https://example.com", { waitUntil: "domcontentloaded" });

    // Your agent's action loop goes here. Keep steps idempotent
    // so a retry after a transient failure is safe.
    const title = await page.title();
    console.log("page title:", title);

    await page.close();
  } finally {
    // Do NOT call browser.close() on a shared remote session unless
    // you own its lifecycle. Disconnect instead.
    if (browser) {
      await browser.close();
    }
  }
}

Two details that trip people up. First, connectOverCDP is Chromium-only in Playwright — it will not attach to Firefox or WebKit. Second, closing the browser object can terminate the remote session depending on the runtime; confirm the teardown semantics before you wire it into a retry loop. The Playwright CDP documentation is the authoritative reference for connectOverCDP behavior.

For Puppeteer, the equivalent is puppeteer.connect({ browserWSEndpoint }). The endpoint format differs slightly between runtimes, so read the connection docs for whichever platform you pick.

Session lifecycle and profiles

A hosted browser runtime is only as good as its session model. Three questions to answer before committing:

1. What happens when a session goes idle? Most runtimes kill idle sessions after a timeout. If your agent pauses for human approval, that session may be gone when it resumes. Persistent profiles help here — auth state survives even if the live session does not.
2. Can sessions be resumed? Some runtimes support reconnecting to an existing session by ID; others create a fresh one every time. For long-running agents, resumability matters.
3. How is isolation enforced? Each session should have its own browser context, cookies, and storage. Shared state between concurrent agents is a correctness bug waiting to happen.

Remote Browser exposes persistent profiles and session isolation as first-class features, along with a live viewer so you can watch a session in progress. That combination — persistent auth plus live debugging — covers the two failure modes that cost the most engineering time.

Proxies, stealth, and network controls

Agent workloads often need proxies: geo-restricted content, rate-limit avoidance, or separating traffic from your own IP space. Evaluate:

• Per-session proxy configuration. Can you set a different proxy per session, or is it project-wide?
• Proxy authentication. Does the runtime handle credentials, or do you inject them into the browser?
• Residential vs datacenter. Residential IPs cost more but behave more like real users.
• Configurable browser settings. Some runtimes let you tune user-agent, locale, timezone, and viewport. Be precise about what you need — "stealth" is a marketing word, not a spec. Ask what is actually configurable.

Remote Browser supports configurable browser settings and proxy configuration at the session level. It does not claim to defeat every bot-detection system, and neither should any vendor — detection is adversarial and changes constantly.

Pricing models across the category

Pricing is where the comparison gets concrete, and where you should be most skeptical of summaries (including this one).

• Per browser-hour. You pay for wall-clock time the browser is alive. Simple, but idle time during model inference is billed.
• Per session. You pay per session regardless of duration. Favors short tasks.
• Per solved task. You pay for outcomes. Aligns incentives but makes cost forecasting harder.
• Subscription. Flat monthly fee with a usage cap. Predictable, but you may overpay for bursty workloads.

The right model depends on your task shape. Long agent loops with lots of thinking time favor per-task or per-session pricing. Short, high-frequency scraping favors per-hour. Remote Browser meters by browser time; check /pricing for current rates and limits rather than relying on secondhand numbers.

A decision checklist

Use this before you commit to any runtime:

• [ ] Does it expose a raw CDP endpoint I can connect to with Playwright/Puppeteer?
• [ ] Can I persist profiles so agents do not re-authenticate every run?
• [ ] Is there a live viewer or session recording for debugging?
• [ ] Can I configure proxies per session?
• [ ] What is the idle timeout, and can I extend it?
• [ ] How does billing treat idle time?
• [ ] Can I self-host if data residency requires it?
• [ ] What is the migration path if I switch later?

If you answer "no" to the first question, stop — protocol lock-in will cost you more than any pricing difference.

When to pick which

Pick Browserbase if you want a managed platform with mature tooling, strong docs, and you are not optimizing hard on per-hour cost. It is a solid default for teams that value onboarding speed.

Pick Browserless or Steel if you need to self-host and can absorb the operational cost.

Pick Kernel or Hyperbrowser if session-start latency or a specific integration is your priority — but verify current behavior, since this space moves fast.

Pick Remote Browser if you want CDP-native hosted Chromium, persistent profiles, a live viewer, and metered browser time without a subscription. It is built for browser-use style agents and Playwright/Puppeteer/Selenium workflows. Start with the remote browser online guide to see the connection flow, or read remote control browser for the control-plane model.

The bottom line

A comparison browserbase exercise is really a question about your constraints. Browserbase is a capable managed platform. The alternatives differ mainly in self-host options, session semantics, and pricing model. The runtime that wins is the one whose CDP endpoint your existing code connects to without a rewrite, whose session model matches your agent's pause-and-resume behavior, and whose billing does not punish you for thinking time.

Test with your own workload. Connect a real agent, run it for a day, and measure browser-hours consumed versus tasks completed. That number — not a feature matrix — is the comparison that matters. When you are ready to benchmark Remote Browser against your current setup, the documentation covers session creation, CDP endpoints, and profile persistence.