Cloud Browser Infrastructure Compared: Browserbase vs Steel vs Browserless

Pick a side in the cloud browser infrastructure debate and you will probably regret it within a quarter. The vendor you commit to in March turns out to be missing the proxy region you need in June, and now your automation code is wired to one provider's session API. This guide compares the serious cloud browser runtimes — Browserbase, Steel.dev, Browserless, Hyperbrowser and Anchor Browser — honestly, including where each one genuinely wins. Then it shows a way out of the lock-in trap: a CLI layer that points at any of them through a single --provider flag, so the place your browser runs becomes a config value rather than a rewrite.

I've spent enough time connecting agents and test suites to remote Chromium to be wary of "X vs Y" posts that pretend one winner exists. There isn't one. These products solve the same shaped problem differently, and the right pick depends on whether you care most about stealth, self-hosting, agent ergonomics, or price. Let's get the layers straight first, then compare.

What cloud browser infrastructure actually is

Browser automation in 2026 stacks into three tiers, and most confusion comes from mixing them up.

1. The browser process — a real Chromium instance running somewhere, exposing a Chrome DevTools Protocol (CDP) endpoint.
2. The infrastructure that hosts and scales it — session pooling, stealth and anti-bot handling, residential and datacenter proxies, captcha workflows, parallel sessions, persistent contexts, and observability (live view, recordings, logs). This is the layer cloud browser infrastructure vendors sell.
3. The orchestration layer that decides what the browser does — your Playwright script, your scraping job, or an AI agent that reads the page and chooses the next action.

Browserbase, Steel, Browserless, Hyperbrowser and Anchor all live in tier 2. They do not care why you want a browser. They hand you a reliable, scalable one over a CDP or WebSocket endpoint and get out of the way. Teams reach for them instead of spinning up their own Chromium on a VM because the hard parts of tier 2 — staying un-blocked, scaling to hundreds of concurrent sessions, rotating clean IPs, surviving captchas — are a full-time engineering problem. Renting is usually cheaper than building.

Knowing which tier you are buying changes the whole decision. You don't swap a test runner for a hosting platform any more than you swap a web framework for a server rack. You run one on the other. Keep that separation in mind, because the lock-in problem this article ends on is entirely about tier 2 leaking into tier 3.

The contenders, compared honestly

Here are the cloud browser runtimes worth a serious look. Where a vendor's exact pricing, model, or internal architecture is not public, I say "not publicly specified" rather than inventing a number. Infra pricing in this space moves fast, so treat any figure you read anywhere — including here — as something to re-check on the vendor's own page.

Browserbase — the agent-era default

Browserbase is the name most people land on first when they search for cloud browser infrastructure, for good reason: it leaned into the AI-agent wave early. It gives you headless (or headful) Chromium sessions over CDP, with stealth, proxies, session persistence, and a live-view feature so you can watch a session in real time. It is also the company behind Stagehand, the open-source (MIT) automation framework that lets you mix deterministic Playwright actions with natural-language act/extract/observe calls. That two-product strategy is a big part of why Browserbase shows up in so many agent stacks.

Where it fits: teams building AI agents that drive browsers, who want a managed cloud plus a well-supported framework and don't want to assemble the stealth layer themselves. If you're already writing Stagehand, Browserbase is the path of least resistance. Pricing is usage-based and tiered; check current rates rather than trusting a number from memory.

Steel.dev — open-source infra built for agents

Steel is open-source browser infrastructure aimed squarely at AI agents and automated workflows. The headline differentiator is that the core is open and self-hostable: you can run Steel in your own environment with Docker, or use their managed cloud. It exposes sessions over CDP, handles proxies and captcha solving, and is explicitly designed so an agent can spin up a browser, do work, and tear it down through a clean API. For teams that want the agent-first ergonomics of Browserbase but care about controlling where the browser runs — data residency, compliance, or just not wanting a hard dependency on one SaaS — Steel is the natural comparison.

Where it fits: agent builders who value open source and the option to self-host, and are comfortable operating infrastructure when they choose to. If "I might need to run this inside our own VPC someday" is on your requirements list, Steel earns a long look.

Browserless — the headless veteran

Browserless is one of the older names in hosted headless Chromium, and the maturity shows in its API surface. It exposes both a REST API for one-shot jobs — screenshots, PDFs, content extraction, running a function — and WebSocket endpoints you connect to with Puppeteer or Playwright. The core is open-source and self-hostable via Docker, which is again the big lever versus a fully closed cloud: same engine, your metal, if compliance demands it. Browserless predates the current agent hype and is built around the "I need a reliable browser endpoint and sometimes simple capture jobs" use case.

Where it fits: teams that want battle-tested headless infrastructure they can consume managed or self-host, with a clean REST layer for screenshots and PDFs alongside the full driver connection. If your workload is more scraping and capture than autonomous agent reasoning, Browserless is a strong, unglamorous choice.

Hyperbrowser — scale and stealth focus

Hyperbrowser positions itself as cloud browser infrastructure for scraping and agents, with emphasis on concurrency, stealth, and anti-bot evasion at scale. It offers session management, proxies, and captcha handling through an API, and markets itself around running large numbers of browsers reliably. Exact internal architecture and current limits are not publicly specified in detail, so I won't pretend to quote concurrency caps.

Where it fits: data-extraction and agent workloads where the pain is volume and blocking, and you want a vendor that treats stealth as a first-class feature.

Anchor Browser — authenticated sessions for agents

Anchor Browser is a newer entrant aimed at giving AI agents a hosted browser, with a notable focus on authentication and identity — the messy reality that real agent work usually means operating inside a logged-in session. It provides cloud browsers over an API with the usual proxy and session features, oriented toward agents that act on the user's behalf in authenticated web apps. As a younger product, several specifics are not publicly specified, so evaluate it hands-on against your actual login flows.

Where it fits: agent products where the hard part is staying authenticated across a session and handling credentials cleanly, not just rendering a page.

Side-by-side comparison

The table below is a directional map, not a benchmark. I haven't run a controlled head-to-head, and I'm not going to invent latency or success-rate numbers. "Self-host" and "open framework" are the load-bearing columns because they're publicly verifiable and drive the lock-in conversation.

A few honest caveats. "Best when" is the center of gravity of each product, not a hard boundary — Browserless can run agent flows, Browserbase can do scraping. Every vendor moves quickly; a gap today may close next month. And the open-source columns matter more than they look, because they're the only real insurance against the lock-in problem we're about to hit.

The lock-in problem nobody puts on the pricing page

Here's the trap. You pick a vendor, wire your automation to its SDK or session API, and three months later your code knows intimate details about that specific provider — how it creates a session, how it returns a connection URL, how it does proxies. Switching now means a refactor, not a config change. The infrastructure tier has leaked into your orchestration tier.

This is fine right up until it isn't. The moment you need a region your provider doesn't serve, hit a pricing change you don't like, run into a captcha pattern one vendor handles and another doesn't, or simply want to run locally for debugging without burning cloud minutes — the cost of that leak comes due. I've watched teams stay on a worse-fit provider purely because the switching cost felt worse than the daily friction. That's lock-in working as designed.

The clean fix is an abstraction over tier 2: write your automation once against a stable interface, and treat the cloud browser as something you point at. CDP is the natural seam, because nearly every one of these vendors speaks it. If your tooling connects over a DevTools endpoint, "which provider" becomes a URL, and a URL is easy to change.

How BrowserBash decouples your tests from any one provider

BrowserBash is a free, open-source (Apache-2.0) natural-language browser automation CLI from The Testing Academy. You write a plain-English objective, an AI agent drives a real Chrome/Chromium browser step by step — no selectors, no page objects — and you get back a verdict plus structured results. The part that matters for this article is where that browser physically runs, because BrowserBash treats it as a swappable backend.

You choose the runtime with one flag, --provider:

• local (default) — your own Chrome, no cloud, nothing leaves your machine.
• cdp — any Chrome DevTools Protocol endpoint, which is the universal escape hatch for any vendor that hands you a CDP URL.
• browserbase — Browserbase sessions directly.
• lambdatest and browserstack — those grids, for cross-browser and device coverage.

So the same objective, written once, can run on your laptop during development and on a hosted cloud browser in CI without rewriting a line of the test. That's the decoupling: BrowserBash sits in tier 3 (orchestration) and deliberately refuses to marry tier 2.

# Local Chrome — $0, fully offline, great for writing and debugging
browserbash run "log in, add the blue running shoes to the cart, \
  check out, and verify 'Thank you for your order!' appears"

# Same objective, now on Browserbase cloud infrastructure
browserbash run "log in, add the blue running shoes to the cart, \
  check out, and verify 'Thank you for your order!' appears" \
  --provider browserbase

# Any other vendor that exposes a CDP endpoint — Steel, Browserless, etc.
browserbash run "log in, add the blue running shoes to the cart, \
  check out, and verify 'Thank you for your order!' appears" \
  --provider cdp --cdp-url "wss://your-vendor-endpoint/..."

That last command is the important one. Because the cdp provider takes a raw DevTools URL, BrowserBash can drive any cloud browser infrastructure that exposes one — Steel, Browserless, and most others above — even with no named, first-class integration. You aren't waiting on BrowserBash to ship a provider for your vendor; if it speaks CDP, you're covered.

The model side is decoupled too

Lock-in isn't only about where the browser runs. It's also about which AI model reads the page and decides what to do — a second bill most comparisons ignore. BrowserBash is Ollama-first: by default it uses free local models, no API keys, nothing leaves your machine, so you can guarantee a $0 model bill. It auto-resolves in order — local Ollama, then ANTHROPIC_API_KEY, then OPENROUTER_API_KEY — and supports OpenRouter (including genuinely free hosted models such as openai/gpt-oss-120b:free) and Anthropic Claude with your own key.

One honest caveat, because I'd want to know it: very small local models (roughly 8B and under) can get flaky on long, multi-step objectives. The sweet spot is a mid-size local model in the Qwen3 / Llama 3.3 70B class, or a capable hosted model when the flow is genuinely hard. A small local model is fine for a quick "did the cart work" check; a ten-step authenticated checkout with conditional branches wants a bigger brain.

Engines under the hood

BrowserBash ships two engines. The default is stagehand (MIT, by Browserbase) — the same framework discussed above, used here as a driver rather than a lock-in. The second is builtin, an in-repo Anthropic tool-use loop that additionally captures a Playwright trace you can open in the trace viewer — a genuinely useful artifact when an agent does something surprising.

A workflow that survives a provider switch

Theory is cheap. Here's the concrete pattern I'd actually run, because it's the one that makes the provider abstraction pay off. Write your flow as a committable Markdown test. BrowserBash supports *_test.md files where each list item is a step, with @import composition and {{variables}} templating. Variables marked secret are masked as ***** in every log line, which matters the moment your flow has a password in it.

# checkout_test.md drives a full purchase, parameterized and secret-safe
browserbash testmd run ./checkout_test.md \
  --var BASE_URL=https://staging.shop.example \
  --var EMAIL=qa@example.com \
  --secret PASSWORD=hunter2 \
  --record --upload

Two flags earn their keep here. --record captures a screenshot and a full .webm session video via ffmpeg on any engine, so when a run fails in CI you have a video instead of a guess. --upload (strictly opt-in, only after browserbash connect) pushes the run to a free cloud dashboard with run history, video recordings, and per-run replay — uploaded runs are kept 15 days. Prefer to keep everything local? browserbash dashboard gives you a fully local dashboard with no upload at all.

Now the payoff: that exact checkout_test.md, with no edits, runs against --provider local on your laptop and --provider browserbase (or a --provider cdp URL pointing at Steel or Browserless) in CI. Your test is a document about what should happen on the page; the cloud browser infrastructure is a flag at runtime. Switch vendors and the document doesn't change — only the flag does.

Built for CI and AI coding agents

If you're wiring this into a pipeline or letting an AI coding agent run it, add --agent. BrowserBash then emits NDJSON — one JSON event per line on stdout — instead of prose, with meaningful exit codes: 0 passed, 1 failed, 2 error, 3 timeout. No regex-scraping of human text, no brittle log parsing. The agent reads structured events and branches on the exit code — the orchestration tier behaving like infrastructure should: machine-readable, deterministic, and indifferent to which cloud browser it ran on.

When to choose which cloud browser infrastructure

Let me be genuinely useful and balanced here, because the right answer often isn't BrowserBash, and pretending otherwise would waste your time.

Choose Browserbase if you're building AI agents and want the smoothest managed path plus the Stagehand framework, and you're comfortable with a usage-based cloud bill. It's the strongest "just works for agents" option.

Choose Steel.dev if open source and self-hosting are non-negotiable but you still want agent-first ergonomics. It's the best fit when "we may need this in our own VPC" is a hard requirement and you have the appetite to operate infrastructure.

Choose Browserless if your workload skews toward scraping, screenshots, and PDFs more than autonomous reasoning, and you want a mature REST API plus the self-host option. It's the dependable veteran for capture-heavy jobs.

Choose Hyperbrowser if raw concurrency and beating aggressive anti-bot systems are your dominant pain, and you want stealth treated as a headline feature.

Choose Anchor Browser if the genuinely hard part of your flow is staying authenticated and handling identity inside logged-in web apps, and you're willing to evaluate a newer product hands-on.

Use BrowserBash on top of whichever you pick if you want to write the automation once in plain English, run it free and locally while developing, and avoid welding your tests to any single vendor. BrowserBash isn't a replacement for these clouds — it's the orchestration layer that lets you treat them as interchangeable. They sell you the road; BrowserBash is one way to drive on it without buying the car.

If you're still mapping the landscape, the BrowserBash features page lays out the provider and engine matrix, and the learn section has the step-by-step setup. For worked natural-language flows, the blog and case studies go deeper than this comparison can.

The real decision: optionality over the perfect vendor

Step back and the question changes shape. The teams that get burned here aren't the ones who picked a slightly-wrong vendor — vendors are mostly good and improving. They're the ones who picked any vendor and then made it expensive to leave. The winning move in cloud browser infrastructure isn't finding the one true provider. It's keeping the cost of switching close to zero, so that when your needs change — and they will — you change a flag instead of a codebase.

That's why I keep coming back to the CDP seam and the --provider pattern. Standardize your orchestration on the universal protocol, keep your tests as plain-English documents rather than vendor-specific scripts, and the whole "vs" debate relaxes. You stop betting your architecture on a single SaaS and start treating cloud browsers like what they are: a commodity you rent by the minute and swap when a better deal shows up. Pick the vendor that fits today, and make tomorrow's pick a one-line change.

FAQ

What is cloud browser infrastructure?

Cloud browser infrastructure is a managed service that runs real Chromium browsers in the cloud and hands you a connection over a DevTools or WebSocket endpoint. It handles the hard operational parts — session pooling, residential and datacenter proxies, stealth and anti-bot evasion, captcha workflows, and observability — so you don't have to run and scale your own browsers on VMs. Browserbase, Steel.dev, Browserless, Hyperbrowser and Anchor Browser are all examples.

Is Browserbase or Steel better for AI agents?

Both target AI agents, so it comes down to priorities. Browserbase offers the smoothest managed experience plus the open-source Stagehand framework, which makes it the path of least resistance if you're already writing Stagehand. Steel.dev is open-source and self-hostable, so it wins when data residency, compliance, or VPC control are hard requirements and you're comfortable operating infrastructure. Try both against your actual login and scraping flows before committing.

Can I avoid cloud browser vendor lock-in?

Yes, by standardizing your automation on the Chrome DevTools Protocol (CDP) rather than a single vendor's SDK, since most providers expose a CDP endpoint. A tool like BrowserBash makes the runtime a --provider flag, so the same plain-English test runs locally, on Browserbase, or against any CDP URL — including Steel or Browserless — without code changes. That keeps switching cost near zero, which is the real protection against lock-in.

Do I need a paid cloud to run browser automation?

No. BrowserBash defaults to your local Chrome and free local Ollama models, so you can run full natural-language browser automation with a $0 model bill and nothing leaving your machine. You only reach for cloud browser infrastructure when you need scale, clean proxies, stealth, or parallel sessions that a single local browser can't provide. Develop locally for free, then point the same test at a paid cloud for CI.

Ready to stop welding your tests to one vendor? Install with npm install -g browserbash-cli, write your first objective in plain English, and run it locally for free. When you want run history and video replay, an account is optional — grab one at browserbash.com/sign-up and keep your automation portable across every cloud browser you might use.