Browserbase vs Browserless: Agent Sessions or Headless Browsers on Tap (2026)

Browserbase and Browserless both rent you a Chrome browser over the network, and that is close to where the similarity ends. Browserbase was built for the agent wave and sells long-lived interactive sessions with the observability to debug them. Browserless predates that wave and sells headless-Chrome capacity for scraping, PDF generation, and screenshots, with a Docker image for teams that cannot send page content to someone else's cloud.

These two products mostly do not compete for the same job. They compete for the same line item on an infrastructure budget, which is why buyers keep putting them side by side. The most prominent head-to-head available today is Browserless's own comparison page, which is a vendor writing about itself, so it is worth working through the axes independently. For the neighboring open-source-versus-managed question, Browserbase vs Steel.dev covers ground this page deliberately skips.

The workload split that decides this

An agent session is long, stateful, and interactive. The agent logs in, clicks through a multi-step flow, waits on something slow, reconsiders, and may run for minutes. Sessions are individually unpredictable and mostly idle in wall-clock terms. When one goes wrong, the failure is behavioral: the agent clicked the wrong element, or a modal appeared that nothing in the script anticipated. Debugging that requires seeing what happened, not reading an exit code.

A render job is short, stateless, and throughput-bound. Fetch a URL, execute the JavaScript, return HTML or a PNG or a PDF, tear the browser down. You run tens of thousands of these and care about cost per page, queueing behavior, and how many you can run at once. Failures are mechanical: a timeout, a blocked request, a missing font in the PDF.

Browserbase is provisioned for the first pattern and Browserless for the second, and you can see it in the plan arithmetic. Browserbase's $99 Startup plan bundles 100 concurrent browsers with 500 browser-hours, which is an average of five hours per concurrency slot per month. Browserless's $350 Scale plan bundles 100 concurrent browsers with 500,000 units, and since a unit is up to 30 seconds of browser time that is roughly 4,167 hours, or about 42 hours per slot. Browserbase sells you many slots that each run briefly and spikily. Browserless sells you slots that run hot. Both figures are the vendors' published July 2026 pricing.

SDK surface: Stagehand versus a CDP endpoint

Both platforms hand you a remote browser endpoint that standard Playwright or Puppeteer code connects to, so neither locks you out of an existing automation codebase. If you are still choosing between those two libraries, Playwright vs Puppeteer covers that decision separately.

Above that layer they diverge sharply. Browserbase maintains Stagehand, an open-source SDK with three primitives: act to perform an action from a natural-language instruction, extract to pull structured data, and observe to inspect page state. Browserbase describes its selectors as self-healing, meaning the SDK re-resolves a target when the page changes rather than throwing on a stale CSS path. It also lists integrations with LangChain, CrewAI, and Mastra. The value is that agent code stops being a pile of Playwright boilerplate wrapped in retry logic. The cost is coupling: Stagehand code assumes Stagehand, and moving off it is a rewrite rather than a config change.

Browserless goes the other direction and adds a query layer instead of an agent layer. BrowserQL is a GraphQL dialect where you write mutations that navigate, click, type, and extract. Alongside it are the REST endpoints that have been the product's backbone for years: /screenshot, /pdf, and /content. Both vendors now ship an MCP server, so either can be exposed as a tool to an LLM without custom glue.

What you are choosing is which abstraction you want to own. Stagehand is the more capable starting point for an agent and the more opinionated dependency. A raw CDP endpoint plus your own wrapper is more work up front and more portable afterward.

Pricing, normalized to a browser-hour

The two vendors do not bill in the same unit, so the comparison only means anything after conversion. Browserbase bills browser-hours plus concurrency. Browserless bills units, where one unit is a block of up to 30 seconds of browser time per connection, so 120 units is one browser-hour. All figures below are published pricing as of July 2026, and the Browserless plans are quoted at their annual-billing rate.

Two things fall out of this. First, Browserless bundles browser time at roughly half Browserbase's included rate once you are at Starter or above, which is what you would expect from a product built for batch throughput. Second, the overage rates invert: Browserbase charges $0.10 to $0.12 per extra browser-hour while Browserless's per-unit overage works out to roughly $0.18 to $0.24. So the cheaper platform depends entirely on how well you can predict your volume. A steady 1,200-hour-per-month rendering pipeline is clearly cheaper on Browserless. A workload that sits at 300 hours most months and spikes to 900 during a customer onboarding push is cheaper on Browserbase, because the spike is billed at half the rate.

Neither table row is the whole bill. Browserless charges proxy traffic in units too, at 6 units per MB for residential and 2 per MB for datacenter, plus 10 units per CAPTCHA solve, so a heavily blocked target list can dominate the invoice. Browserbase meters its Search and Fetch APIs separately, with 1,000 search calls included and $7 per thousand after, and Fetch at $1 per thousand or $4 per thousand with proxies. Model the proxy and CAPTCHA line before you conclude anything from the headline price.

Session limits and what they rule out

Browserless publishes a hard maximum session time per plan: 1 minute on Free, 15 minutes on Prototyping, 30 minutes on Starter, 60 minutes on Scale. For a render job that ceiling is irrelevant, since anything taking more than 60 seconds is already a bug. For an agent that authenticates, submits a form, and waits on a slow back office to respond, a 30-minute wall is a design constraint you have to build around with checkpointing and session resumption.

Browserbase does not publish an equivalent per-plan cap and instead gates on concurrency, giving 3 concurrent browsers free, 25 on Developer, 100 on Startup, and 250 or more on Scale. It also meters what it calls agent runs separately, with 3 on Free, 15 on Developer, and 50 on Startup, which is a low ceiling for anything past prototyping and worth checking against your expected run count.

Anti-bot posture, and what each vendor will say out loud

Part of the gap here is capability and part of it is what each company is willing to put in its own documentation.

Browserless is direct. Its documentation describes BrowserQL as a stealth-first automation tool for writing queries that "bypass bot detection," and lists built-in stealth, CAPTCHA solving, proxy rotation, and browser fingerprint randomization as features. It positions the product explicitly for sites that actively resist automation and for the case where your existing Playwright scripts are getting blocked.

Browserbase frames the same problem as Agent Identity and describes getting past anti-bot systems and authentication barriers through partnerships. That is a different claim: not "we look enough like a human," but "we are a recognized party." Anchor Browser has taken the same approach further by becoming a Cloudflare Verified Bot, and Cloudflare's verified-bots directory is the largest scheme of that kind currently in production.

For a buyer, the tradeoff is coverage now versus durability later. Evasion works on more of the web today. Accreditation depends on the site's operator having opted into a scheme you are part of, which is a smaller set, but it does not silently degrade every time Cloudflare ships a new detection model. If you need a specific hostile domain to work next quarter, test it on both before assuming either.

Deployment and data residency

Browserbase is managed only. There is no self-host path, and that is a hard filter for teams whose data cannot leave their own infrastructure.

Browserless ships an official Docker image supporting Puppeteer, Playwright, and its REST endpoints, with queueing and timeout controls. The licensing detail matters: the code is source-available under the SSPL rather than an OSI-approved open-source license, so self-hosting for open-source or non-commercial use is covered, while running it inside a proprietary commercial product requires the paid commercial license Browserless sells with its enterprise tier. Read that as a commercial negotiation, not a free escape hatch. If you want a genuinely permissive self-host option, Steel.dev publishes its runtime under Apache 2.0, and the rest of the browser infrastructure category has several other managed options.

On regions, Browserbase lists US East, US West, EU Central, and UK, with Asia Pacific available to enterprise customers on request. Browserless lists San Francisco, London, and Amsterdam endpoints, with additional EU locations for enterprise. Both are adequate for a US or EU footprint; neither publishes a self-serve APAC region.

Observability when a run stalls

Browserbase ships live view, session recordings, and per-step logs, so when an agent stops making progress you can watch the replay and see the modal that ate the click. Recordings are retained 7 days on Free and Developer and 30 days or more on Startup and Scale.

Browserless retains session storage on a similar ladder, 1 day on Free, 7 on Prototyping, 30 on Starter, and 90 on Scale, which is the longer window at the top tier. What it does not market is a live-view surface for watching an in-flight session. For batch rendering that gap costs nothing, because the useful signal is a timeout and a status code. For agent debugging it is the difference between a five-minute fix and an afternoon of print statements. If you are still scoping the requirement, the guide to browser infrastructure for AI covers what observability an agent stack actually needs, and ClawBench is the third-party benchmark that scores browser agents on live sites rather than on vendor claims.

Compliance for procurement

Browserless publishes the fuller certification list: SOC 2 Type II, GDPR, HIPAA compliance, and an available DPA, all at the platform level. Browserbase lists SOC 2 with HIPAA BAA and DPA available on its Scale and enterprise plans, which means the compliance paperwork a regulated buyer needs sits behind a custom contract rather than a self-serve tier.

If you are a healthcare or financial buyer who wants the paperwork done before the pilot, Browserless is the shorter path today. If you are already heading toward an enterprise contract, the distinction mostly disappears.

Which should you pick

You are building an agent that browses on a user's behalf. Browserbase. The session model, Stagehand's act and extract primitives, live view, and session replay are all built for the failure mode you will actually hit, which is an agent doing something inexplicable on step nine of twelve. The published per-hour rate is roughly double Browserless's at comparable commitment, but agent sessions are bursty and the overage rate is where bursty workloads get billed, which is the half of the pricing model that favors Browserbase. Verify the agent-run allowance on your plan before you commit.

You are rendering pages, screenshots, or PDFs at volume. Browserless. Around $0.09 per browser-hour on the Starter plan against roughly $0.20 on Browserbase's Startup plan is not a rounding difference at six-figure page counts, the REST endpoints are built for exactly this job, and BrowserQL is the more explicit answer for target sites that block plain Playwright. Keep your volume inside the commit, because the overage rate is the worse of the two.

Your data cannot leave your infrastructure, or you need HIPAA paperwork before a pilot. Browserless, and this decides it before any other axis. Browserbase has no self-host option at all, and its HIPAA BAA sits on the enterprise tier. Budget for the commercial self-hosting license rather than assuming the Docker image is free for your use, since SSPL does not cover a proprietary commercial deployment. If a permissive license is the real requirement rather than self-hosting itself, look at Steel.dev instead.

The pairing that trips people up is running an agent product on Browserless because the per-hour rate looked better in a spreadsheet, then discovering the 30-minute session cap and the absent live view during an incident. The rate comparison is real, but it is answering a question about throughput, and an agent workload is not a throughput problem.