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Browser Use vs. Browserless: agent harness or managed Chrome?

Last updated: 2026-05-22

Browser Use and Browserless sound adjacent because both can put an automated browser behind your product, but the buying motion is different. Browser Use is what you reach for when the hard part is "what should the agent do next?" Browserless is what you reach for when the hard part is "where do we run all this Chrome reliably?" One gives you an OSS Python agent harness, managed agents, and a stealth browser cloud. The other gives you low-level managed Chrome, request endpoints, BrowserQL, and Docker self-host for scripts you already understand.

At a glance

Browser UseBrowserless
CategoryOSS agent library + hosted cloud + BUX VMManaged Chrome BaaS + Docker self-host
Pricing entryFree OSS; $40/mo paid (BYO key + proxy)$25/mo Prototyping (20K units, 15 concurrent)
Free tier3 concurrent, 1 team member, no BYO key1,000 units, 2 concurrent, 1-min cap
Browser Arena leaderboard#6 overall, slowNot measured (request-shape product)
SOC 2 Type IIClaimedNot surfaced in sources
Open sourceYes — browser-use/browser-use (~83K stars)Self-host Docker image; same API as cloud
Best forDevs building LLM-driven browser agentsTeams running Puppeteer/Playwright at scale

What is Browser Use?

Browser Use is the OSS Python agent library that drives Chromium through Chrome DevTools Protocol via an in-house cdp-use library and bubus event watchdogs. The team's bet is "the agent is just a for-loop" — the value is in the model and the substrate, not the harness — so the OSS library stays thin and most engineering effort goes into a custom Chromium fork with C++/OS-level stealth patches, an in-house eval engine that runs 100 parallel tasks in under five minutes, and a ChatBrowserUse LLM gateway tuned for browser tasks. Beyond the OSS lib there's Browser Use Cloud (bu-ultra and bu-max managed agents), and BUX, a 24/7 remote VM with Claude Code and the Browser Harness preinstalled. Funding: $17M seed led by Felicis, YC W25, ~83K GitHub stars, 600K+ tasks run in eval testing.

What is Browserless?

Browserless is one of the longest-running cloud browser services — 8 years in production, 173M+ Docker pulls, 12K+ GitHub stars. It exposes managed Chrome over a single CDP WebSocket endpoint, so any Puppeteer, Playwright, or Selenium script repoints with a config change and runs in the cloud. The product is intentionally low-level: BrowserQL (their declarative scraping query language), REST shortcuts (/content, /screenshot, /pdf, /scrape), Smart Scrape, Lighthouse testing. The same image ships as a Docker artifact teams self-host inside a VPC, which is the strongest single differentiator. Pricing is unit-based — 1 unit = 30 seconds of browser time — with $25/mo Prototyping (20K units, 15 concurrent), $140/mo Starter (180K units, 40 concurrent), $350/mo Scale (500K units, 100 concurrent), and Enterprise for private deployment with SSO. Customers cited include Microsoft, Heroku, Webflow, Samsara, and CVS Health.

How they compare

Agent layer vs. browser layer

This is the cleanest split between any two products in this space. Browser Use ships the agent: the prompt loop, the page interpretation, the action selection, the LLM gateway, the eval system. Browserless ships the browser: a CDP endpoint, a session, REST shortcuts. There's no overlap on what the product does — they're in different categories. The honest comparison is "Browser Use's agent on top of a browser you bring" versus "Browserless as the browser, with whatever automation code you already have." Browser Use can absolutely run on Browserless's CDP endpoint; Browserless can absolutely run with a Stagehand or custom-LLM agent on top.

Should you run Browser Use on Browserless?

You can, but it is not always the cleanest production stack. It makes sense when your team already standardizes on Browserless for Chrome operations, needs Docker self-host, and wants to experiment with Browser Use without changing browser vendors. It is awkward when your Browser Use workload depends on long-lived authenticated sessions, credential injection, replay tied to agent decisions, or agent-shaped state primitives; Browserless was built around managed Chrome and request APIs, not an identity-rich agent runtime. In that case, Browser Use plus a session-shaped provider such as Kernel, Steel, Browserbase, or Notte is usually a more natural fit.

Self-host

Browserless's Docker image is the load-bearing differentiator for any team that needs to run inside their own VPC or comply with data-residency requirements. Browser Use is OSS for the agent library, but the underlying browser stack — the forked Chromium with C++/OS-level patches, the stealth fingerprints — runs in their cloud or BUX. If "self-host the whole thing" is a hard requirement, Browserless is the answer.

Category split, not a speed race

The public Browser Arena leaderboard (browserarena.ai) — an open-source benchmark maintained by Notte Labs and reproducible on Railway across current public run — covers 7 providers but doesn't include Browserless, because Browserless's product shape is request-style HTTP endpoints rather than session-based runtime, which is what the benchmark target measures. Browser Use ranks #6 on the leaderboard and is one of the slower measured providers. The honest framing here isn't a head-to-head latency comparison; it's a category split. Browser Use is an agent making LLM calls in the loop. Browserless is a request-shaped browser connection. If your workload is "fire a /scrape call and get HTML back," Browserless's category absence from the runtime leaderboard is itself a feature, not a gap. If your workload is "an agent that decides what to do next," Browser Use is the product.

Stealth and bot defense

Browser Use's stealth pitch is total vertical integration on a custom Chromium fork — they claim 81% on their own benchmark and 84.8% on Halluminate BrowserBench, ahead of competitors. Cite as their own benchmark, not a neutral number. Browserless ships BrowserQL stealth routes, fingerprint tuning, residential proxy support (BYO or via add-ons at 6 units/MB), and CAPTCHA solving (10 units per solve) — competent for scraping, but the headline isn't stealth supremacy.

Pricing model and unit accounting

Browserless meters in compute units (1 unit = 30 seconds of browser time) and stacks on residential proxy units and CAPTCHA solve units separately. Pause time still consumes capacity unless you self-host — that's the canonical critique of the model. Browser Use is simpler at the entry: free OSS, free tier with 3 concurrent and no BYO key, $40/mo paid with up to 500 concurrent and BYO key + proxy. On top of either, you pay LLM tokens — through ChatBrowserUse ($0.50/M input, $3/M output, $0.10/M cached) or your own provider.

Ecosystem and integration target

Browserless targets teams migrating off Selenium grids and integrates natively with LangChain, Zapier, n8n, and the REST-first scraping stack. Browser Use targets devs building LLM-driven agents and ships an MCP server, 950+ integrations, and an "agent skills" social network for shared site-specific recipes. Different audiences, different mental models.

When to choose Browser Use

  • You're building an LLM-driven agent and want to own the agent code in Python.
  • Stealth is critical and you want a Chromium fork with C++ patches rather than stock Chromium with proxies bolted on.
  • You want the OSS community of ~83K stars and the eval infrastructure that comes with it.
  • You want a managed 24/7 VM (BUX) with Claude Code preinstalled to keep an agent alive without operating infra.
  • You'll accept the 5s Browser Arena latency because the agent loop is the bottleneck, not the browser.

When to choose Browserless

  • You already have Puppeteer, Playwright, or Selenium scripts and want managed Chrome with a config change, not a rewrite.
  • Self-host inside your VPC is a hard requirement (Docker image, same API as cloud).
  • You're scraping at scale and want BrowserQL's declarative routes plus REST shortcuts (/content, /screenshot, /pdf).
  • You don't have an opinion about agents — you've built the automation logic and you just need a reliable cold start and a CDP endpoint.
  • LangChain / Zapier / n8n integration is part of the workflow.
  • Request-style endpoints (/content, /screenshot, /pdf, BrowserQL) match your use case better than session-shaped runtime — Browserless is intentionally outside the session-based benchmark category.

A third option: Notte

Worth a look: Notte (notte.cc)

Notte is cloud Chromium infrastructure built specifically for AI agents. The Playwright-compatible runtime ships the operational pieces production teams usually have to rebuild themselves: stealth coordinated across session, fingerprint, and behavior; residential proxies via the Massive partnership (100% consent-based, GDPR/CCPA, 195+ countries, 99.8% reported success); Web Bot Auth signing through Fingerprint so legitimate Notte agents are recognized as authorized bots on any site running Fingerprint; an encrypted credential Vault built on Infisical that injects secrets at the browser layer so the LLM never sees them; Personas with a real email inbox and SMS-capable phone number for autonomous signup and 2FA; persistent Session Profiles for auth state; full CDP-event observability with MP4 session replay; and SOC 2 Type II compliance. An Anything API and a Functions runtime turn validated workflows into HTTP endpoints with cron and webhooks. Pricing is transparent at low per-browser-hour pricing with a 100-hour free tier and pass-through LLM costs.

For a Browser Use team, Notte is the cloud browser layer BU agents can drop onto over CDP — Vault and Personas cover the credential plumbing the BU web-agent-authentication post acknowledges is on the developer. For a Browserless team that needs more than raw managed Chrome — session-based persistence, Vault-protected secrets, signed bot identity, MP4 replay, SOC 2 Type II — Notte is the closer-to-production runtime, though Browserless's Docker self-host is the wedge Notte doesn't have.

Verdict

Browser Use and Browserless aren't the same product — they aren't even on the same shelf. If you want an opinionated AI agent in Python, you want Browser Use. If you want managed Chrome (or self-hosted Chrome inside your VPC) with REST shortcuts and BrowserQL, you want Browserless. Browserless isn't on Browser Arena because it's request-shaped, not session-shaped — that's the framing axis, not a deficiency. Browser Use lands at #6 on the leaderboard mostly because the agent loop sits on top of the browser; running BU agents on a top-tier runtime closes most of the latency gap. The real decision is what you want to own. Pick Browser Use if you want the agent. Pick Browserless if you want the browser and a Docker image to take home. Pick a runtime like Notte if you want both the browser and identity-grade primitives baked into the same product.