Browserbase vs Browserless vs Hyperbrowser vs Anchor (2026)

TL;DR + decision tree

• You’re building an AI agent from scratch and want the shortest path to a working browser tool — go Browserbase. The Stagehand SDK (act, extract, observe) is the closest thing in the category to “tell the browser what to do in English”, the free tier covers prototyping, and the MCP server is first-party.
• You have an existing Puppeteer or Playwright codebase and don’t want to rewrite it — go Browserless. It is the most mature platform in the group, has been running remote-browser workloads since long before “AI agent” was a category, and your existing code points at it with a one-line endpoint change.
• You’re scrape-and-crawl-heavy and want stealth built in — try Hyperbrowser. The platform is newer than Browserbase and Browserless but its AI-agent-first design and per-session pricing model can be cheaper for bursty workloads. Its MCP server covers content extraction and crawl primitives directly.
• You’re running enterprise compliance-heavy workloads where reliability outranks cost — look at Anchor. SOC 2 / ISO 27001 / HIPAA on the higher tiers, on-prem and BYOC at Enterprise, a deterministic plan-then-execute model that the marketing claims is “23× less error-prone” than agent-driven approaches. No first-party MCP at the time of writing.

None of these are substitutes for each other in every cell of the matrix — Browserbase and Hyperbrowser were built for AI agents from day one, Browserless was a remote-Chrome service that adopted agents later, and Anchor is the enterprise-deterministic outlier. The rest of this post walks you through the five axes that decide which one matches your workload.

What “hosted browser for AI” actually means

If you’ve only used a local Chrome through Playwright or Puppeteer, the hosted-browser category can sound like overkill. It isn’t — it solves a problem that becomes obvious the moment you ask an AI agent to browse the web. The agent needs to click, type, scroll, wait for redirects, dismiss modals, solve a captcha occasionally, and persist a session across turns. None of that runs cleanly inside the agent process. You can’t spawn a real Chrome on a serverless function. You can’t hand your laptop’s browser to a production agent. And you really can’t run hundreds of concurrent browsers on your own infrastructure without a small ops team.

Hosted browser providers solve all of that. They run a fleet of headed (visible) or headless (invisible) Chromium instances in their cloud. Your agent — whether it’s a Cursor session, a Claude Code task, a custom LangChain pipeline, or an MCP-connected tool — opens a session against their API, drives it via Playwright or Puppeteer (or a higher-level SDK like Stagehand), and the provider handles the rest: warm pool of browsers, fingerprint randomisation, proxy routing, CAPTCHA handling, session recording for replay, and orderly teardown. You get a browser on demand the same way you get a database row on demand.

What changes when an AI agent (not a deterministic scraper) is the driver: the workload is bursty and unpredictable, sessions may run for tens of minutes, the agent will pause to think, and tool descriptions need to fit inside the model’s context budget. That has pushed the providers in this post to add: natural-language wrappers (Stagehand on Browserbase, BrowserQL on Browserless), session reconnect by ID (across all four), recording and replay (Browserbase and Browserless), and MCP-native tool surfaces (Browserbase, Browserless, Hyperbrowser). The shape of “hosted browser” in 2026 is meaningfully different from the shape in 2022 when these were mostly remote-Puppeteer offerings — that matters for which one you pick.

Five axes that matter

Vendor homepages talk about a dozen features. In practice the pick collapses to five axes. Score each provider on these first, then go check the marketing for everything else.

1. Session management. How are sessions started, paused, resumed, recorded, and torn down? Can you reconnect to a session by ID after an agent stall? What is the maximum continuous session length on your tier? Browserbase’s free tier caps at 15 minutes; Browserless free caps at 1 minute. That difference is the difference between “works for prototyping” and “works for a smoke test only.”
2. Anti-bot stealth. Will the target site let you in? Stealth in 2026 is no longer just about user-agent spoofing — it’s about TLS fingerprints, behavioural patterns, Cloudflare Turnstile, PerimeterX, DataDome, Akamai. All four providers claim stealth; only one (Anchor) ships a forked Chromium with its own signature. Test, then pay.
3. Recording and replay. When the agent does something stupid at 3am, can you watch the session back? Browserbase and Browserless ship full session recording out of the box. Hyperbrowser and Anchor support recording on paid tiers with caveats — check the dashboard before you rely on it for compliance.
4. SDK ergonomics. How does it feel to write the first 100 lines? Browserless answers “exactly like remote Playwright” — your existing code works. Browserbase answers “Playwright if you want, or Stagehand if you want natural-language steps.” Hyperbrowser answers “here are scrape, extract, and crawl primitives.” Anchor answers “plan the task with our SDK, then we execute it deterministically.” Pick the model that matches how your team writes code.
5. Pricing model. Session-hours? Per-session credits? 30-second “units”? Each model rewards different workloads. Browserless’s unit billing punishes long-lived sessions and proxied work. Browserbase’s session-hour billing rewards them. Anchor’s 0.1-credits-per-task model rewards many-small-tasks workflows. Run your typical job once through each calculator before signing.

Three derivative axes matter for some teams: SOC 2 / HIPAA compliance (Anchor and Browserless lead), self-hosting support (Browserless Enterprise and Anchor on-prem only), and MCP-first design (Browserbase, Browserless, and Hyperbrowser all ship official MCPs; Anchor does not yet). The five-axis filter usually settles the choice; the derivative ones are tiebreakers.

Side-by-side matrix

Every cell sourced from the vendor’s live pricing or docs page on the day of writing. Hosted-browser pricing moves; verify at the linked source before committing.

Four takeaways before the per-tool sections. First, three of four ship a first-party MCP — Anchor is the outlier and you’d integrate it via REST or a community wrapper. Second, Browserless is the only one with a remotely friendly “you already wrote this code” story; Browserbase, Hyperbrowser, and Anchor all expect you to adopt at least a thin SDK. Third, session caps on free tiers differ by a factor of fifteen (Browserless 1 min vs Browserbase 15 min) — that decides whether your prototype goes anywhere. Fourth, only Browserless and Anchor offer any kind of self-host, and both gate it behind Enterprise.

Browserbase — install + recipe

Browserbasebrowserbase

Official1-Click Ready

Unlock browser automation studio with Browserbase MCP Server. Enhance Selenium software testing and AI-driven workflows

browser automation539

What it does best

Browserbase is the cleanest agent-first design in the category. The Stagehand SDK gives the model three primitives — act (do something), extract (pull structured data), observe (see what’s on the page) — that map naturally to how an LLM thinks about browsing, and the SDK is open-source so you’re not locked in. The hosted backend layers on warm browser pools, full session recording, replay, and an MCP server that wraps the same primitives. The free tier (3 concurrent, 1 hour, 15 min sessions) is the most generous in the group for prototyping AI agents, and the Startup plan at $99/mo is the typical production starting point.

Pick this if you...

• Are building an agent from scratch and want a natural-language browser API instead of writing selectors
• Want a first-party MCP server installable in Cursor, Claude Code, VS Code, and other clients out of the box
• Need session recording / replay for debugging or compliance, without writing extra integration
• Are okay with a session-hour pricing model and a Stagehand dependency (it’s portable, but the ergonomics tilt toward Browserbase’s backend)

Recipe: extract product specs from a JS-heavy page

With your BROWSERBASE_API_KEY and BROWSERBASE_PROJECT_ID set, this is the minimum Stagehand setup:

# install
npm i @browserbasehq/stagehand

# starter.ts
import { Stagehand } from "@browserbasehq/stagehand";
import { z } from "zod";

const stagehand = new Stagehand({
  env: "BROWSERBASE",
  apiKey: process.env.BROWSERBASE_API_KEY!,
  projectId: process.env.BROWSERBASE_PROJECT_ID!,
});

await stagehand.init();
await stagehand.page.goto("https://example-shop.com/product/abc123");

const spec = await stagehand.page.extract({
  instruction: "extract the product title, price, and SKU",
  schema: z.object({
    title: z.string(),
    price: z.string(),
    sku: z.string(),
  }),
});

console.log(spec);
await stagehand.close();

One function call replaces what would be three or four Playwright queries plus brittle CSS selectors. The same code works against a local Chrome (env: "LOCAL") for offline testing. For MCP, point any modern client at the Browserbase MCP server and ask the same question in chat — the agent will pick the Stagehand-backed tool automatically.

Skip it if...

You already have a working Puppeteer or Playwright codebase and the rewrite cost dominates. Browserless will let you point your existing script at a remote endpoint with a one-line change; that path is faster than adopting Stagehand on day one.

Browserless — install + recipe

Browserlessbrowserless

Official1-Click Ready

Browserless MCP server for self-hosted browser automation. Run Puppeteer, Playwright, and Selenium workflows at scale wi

productivity3.6k144

What it does best

Browserless is the platform you reach for when you already wrote the browser automation and want someone else to run the browsers. It has been doing remote Chrome since long before AI agents were a category, which shows up everywhere: Playwright and Puppeteer both work transparently, the REST API has endpoints for one-shot screenshots and scrapes, BrowserQL gives you a stealth-aware DSL for new code, and the platform now ships an official MCP. SOC 2 Type II, GDPR, HIPAA, and a DPA are available on Enterprise — the most complete compliance posture in the comparison without going to Anchor.

Pick this if you...

• Have an existing Puppeteer or Playwright codebase you want to move off your VPS without rewriting
• Need REST endpoints for one-shot screenshots, PDFs, or scrapes alongside agentic flows
• Want the most mature, most-documented hosted browser in the category — long track record, predictable upgrades
• Care about residential proxies and per-CAPTCHA economics more than free-tier generosity

Recipe: drop-in remote Playwright with the existing script

With your BROWSERLESS_TOKEN set, the typical migration is a one-line change to your existing code:

# install (you probably already have these)
npm i playwright

// existing.ts
import { chromium } from "playwright";

// Local:
// const browser = await chromium.launch();

// Browserless remote:
const browser = await chromium.connect(
  `wss://production-sfo.browserless.io/playwright?token=${process.env.BROWSERLESS_TOKEN}`
);

const page = await browser.newPage();
await page.goto("https://news.ycombinator.com");
const headlines = await page.$$eval(
  ".titleline > a",
  (els) => els.map((e) => e.textContent ?? "")
);
console.log(headlines.slice(0, 10));
await browser.close();

That’s it — every Playwright API works, your test suite still passes, and the heavy browsers run on Browserless’s fleet. For new code, the BrowserQL DSL wraps the same engine with stealth defaults baked in. For MCP, install the Browserless MCP and the same workflow is available as agent tools.

Skip it if...

Your sessions are long (more than a few minutes each) and proxy-heavy. The 30-second unit model adds up fast for long-lived agent sessions with residential traffic — at that workload shape, Browserbase’s session-hour billing or Hyperbrowser’s per-session model usually wins on price.

Hyperbrowser — install + recipe

Hyperbrowserhyperbrowserai

Official1-Click Ready

Hyperbrowser enables web scraping, internet scraping, and automation to scrape any website for data extraction or web cr

browser automation5062

What it does best

Hyperbrowser is the newer entrant pitching an AI-agent-first browser API with stealth as a headline feature and a per-session pricing shape that can be cheaper than the unit-based or hour-based alternatives for short, bursty scrape work. The official MCP server (hyperbrowserai/mcp) exposes content-extraction, link-following, and crawl primitives as agent tools, which makes it a natural fit for research and data-collection workflows where the agent doesn’t need full browser control on every step.

Pick this if you...

• Run scrape-heavy or crawl-heavy AI workflows where most work is “fetch this page, extract that field” rather than long interactive sessions
• Want a vendor that markets stealth as a first-class feature rather than an Enterprise add-on
• Prefer a per-session pricing model that scales with task count rather than wall-clock browser-hours
• Are happy to evaluate a newer platform against the more established Browserbase / Browserless options

Recipe: scrape a list of product pages via MCP

With Hyperbrowser’s MCP installed in Claude Code or Cursor and your API key configured per the install card above, paste this prompt:

Use the Hyperbrowser MCP. Crawl up to 25 product pages under
https://example-shop.com/category/laptops, and for each page
extract title, price, GPU, and RAM size into JSON. Stop once
you have 25 results. Group identical GPUs together and return
the median price per GPU.

The agent uses Hyperbrowser’s crawl tool to enumerate URLs, then its extract tool to pull structured fields per page, then aggregates client-side. The same shape works for price-monitoring, competitive-intel, and lead-gen scrapes. For programmatic use, the Hyperbrowser SDK exposes the same primitives in TypeScript and Python — check the install card for the current pinned versions.

Skip it if...

You need a long-lived interactive session where the agent drives clicks, fills forms, and waits for redirects across tens of minutes. The Hyperbrowser sweet spot is short, burst-y, extract-heavy work; for stateful interactive flows Browserbase’s Stagehand or Browserless’s remote Playwright stay ahead.

Anchor — install + recipe

What it does best

Anchor is the enterprise-leaning option, and the pitch is different in kind from the other three. Instead of giving the agent a browser and trusting it to drive, Anchor uses its own AI to plan the task once, compile the plan into a deterministic sequence, and execute it — falling back to AI at runtime only when the deterministic path breaks. The marketing claims 80× fewer tokens, 12× faster, and 23× less error-prone than agent-driven approaches. Independent verification of those numbers does not exist; the directional argument (planning once and executing many times is cheaper than re-deciding on every step) is sound regardless of whether the exact multipliers hold. Anchor also ships a forked Chromium marketed as “recognised as a human”, with Cloudflare Web-Bot-Auth verification on the Team tier and up.

Pick this if you...

• Run compliance-heavy workloads requiring SOC 2 / ISO 27001 / HIPAA (Growth tier and above), with optional on-prem or bring-your-own-cloud at Enterprise
• Are willing to pay for reliability over agility — Anchor tiers ($500/mo Team, $2k/mo Growth) sit well above the alternatives at the same concurrent-browser count
• Value the deterministic plan-execute model and don’t need first-party MCP server support today
• Need built-in VPN routing (no third-party proxy required) and OmniConnect™ authentication infrastructure for apps that fight reCAPTCHA and Cloudflare aggressively

Recipe: deterministic checkout flow on a guarded site

# Anchor REST API (no first-party MCP at time of writing)
curl -X POST https://api.anchorbrowser.io/v1/sessions \
  -H "Authorization: Bearer $ANCHOR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "task": "Add the cheapest in-stock 16-inch laptop to cart on example-shop.com and proceed to checkout",
    "credentials": "omniconnect://example-shop",
    "mode": "deterministic-with-ai-fallback"
  }'

The session API returns a session ID; subsequent calls fetch the resulting page state, screenshots, and a replay of the action sequence. Because the plan is compiled once and executed deterministically, re-running the same task tomorrow on the same site produces the same trace — which is the whole reason compliance-heavy teams pay Anchor’s premium.

Skip it if...

You’re a small team prototyping an agent and want first-party MCP support out of the box. Anchor’s starting tier ($50/mo) is higher than Browserbase’s ($20/mo) for less concurrent browsers, the MCP story is community-only today, and the deterministic plan-execute model is best at scale — at small scale you’ll feel the friction more than the benefits.

Anti-bot and stealth, honestly

Stealth is the single most marketed and least benchmarked feature in the hosted-browser space. Every provider claims to evade Cloudflare, every provider has a page of logos of sites they say they get through, and almost none of them publish reproducible benchmarks against actual modern anti-bot products. Here is the honest picture in 2026.

Bot defences split into four layers. Layer 1 is fingerprinting — user agent, screen resolution, timezone, language, installed fonts, WebGL renderer, audio stack, and a handful of others. Off-the-shelf headless Chrome fails layer 1 instantly. All four providers in this post randomise enough of layer 1 to pass surface-level checks. Layer 2 is TLS / JA3 fingerprinting — the TLS handshake of a real browser is different from automation. This is where Browserless residential proxies and Hyperbrowser’s stealth infrastructure earn their keep. Layer 3 is behavioural — mouse movements, scroll inertia, key timing, focus patterns. Real humans don’t click pixel-perfectly. Modern stealth stacks inject humanlike noise; Anchor’s forked Chromium goes furthest here. Layer 4 is captcha / managed challenge — Cloudflare Turnstile, hCaptcha, reCAPTCHA, PerimeterX. Browserbase Developer+ tiers solve these automatically; Browserless bills per solve at 10 units; Anchor positions Cloudflare Web-Bot-Auth verification as a paid feature (Team tier).

The practical advice: do not trust any vendor’s blanket stealth claim. Pick the target sites you care about most. Sign up for the free tier of two or three providers. Run the same task — load a guarded page, do a simple interaction, observe whether you get challenged. Whichever provider wins on your actual targets is the one to pay. The differences between providers on a given target are real but rarely the differences the marketing copy advertises. And remember: stealth fights are adversarial. A provider that breezes through Cloudflare today may fail tomorrow when Cloudflare ships an update. Build your agents to handle “blocked” as a normal outcome, not a catastrophic one.

vs running Playwright yourself

The most common pushback on hosted browser pricing is “why don’t I just run Playwright on my own machine?” For a lot of workloads, that’s the right answer. Here is how to tell.

Run Playwright yourself if: your agent runs one or two browsers at a time, lives on your laptop or a single VPS, talks to sites that don’t fight back, and doesn’t need session recording, replay, or horizontal scale. Local Playwright with chromium.launch() costs nothing, has zero-latency tool calls, and gives you a full DevTools view of every interaction. Pair it with a local MCP like chrome-devtools-mcp or Playwright MCP and your agent has a real browser without any vendor in the loop. For research, side projects, and most internal tooling, this is the right starting point.

Pay for a hosted browser if: any one of these is true. (a) You need more than ~10 concurrent browsers across a fleet — running that yourself means a small ops team. (b) You hit anti-bot defences regularly and don’t want to write your own fingerprint randomisation. (c) You need session recording for compliance, audit, or debugging the agent’s history. (d) You run long-lived agent sessions that need to pause, resume, or migrate across host machines. (e) You ship to a serverless or edge runtime that can’t spawn a real Chromium. The break-even between “Playwright on my box” and the cheapest hosted tier ($20-$50/mo) arrives early in any production workload that hits even one of those conditions.

A useful gray zone: you can prototype with Stagehand pointed at env: "LOCAL", then flip to env: "BROWSERBASE" when the workload outgrows your laptop. Same code, no rewrite, pay only when you need to. That portability is one of the reasons Stagehand has so much momentum in this category — it makes the “Playwright vs hosted” decision a one-line change rather than a migration.

Common pitfalls

Community signal

The hosted-browser-for-AI space is too young (most current offerings reached their AI-agent positioning between late 2024 and early 2026) for the kind of mature community signal that older categories produce. Rather than fabricate quotes, here is what is consistent across the public writing we reviewed in HN threads, GitHub discussions, framework documentation, and vendor changelogs leading into mid-2026.

Stagehand’s repo (github.com/browserbase/stagehand) cites “22k GitHub stars, 700k+ weekly downloads” on the docs landing page — directionally consistent with its adoption visibility in LangChain and CrewAI integration examples. Browserless’s longevity (the company has been running remote browsers since 2017) shows up in how often it surfaces as the default answer when a developer asks “where do I run my Puppeteer code?” Hyperbrowser’s positioning leans heavily on scrape-and-extract use cases in its own documentation, and community discussion treats it as the younger-but-cheaper-on-bursty-scrapes option. Anchor sits in a different conversation entirely — the marketing deliberately reaches for the enterprise CISO audience, with security-by-design and compliance as primary value props rather than developer ergonomics.

Two takeaways. First, none of these platforms have a multi-year track record at the “AI agent driving the browser” workload specifically — even Browserless, which is the most mature platform overall, only added first-class AI agent positioning recently. Test against your actual workload; vendor claims here are doubly worth verifying because the use case is new. Second, the MCP support story is the cleanest differentiator on the table today: three of four providers ship an official MCP, and if you are already invested in MCP tooling, that fact alone narrows the shortlist faster than any pricing exercise.

Frequently asked questions

Sources

Browserbase

• browserbase.com/pricing — tiers, concurrent limits, included session-hours
• docs.browserbase.com/introduction — platform overview, SDKs, Stagehand
• github.com/browserbase/stagehand — open-source AI browser SDK
• github.com/browserbase/mcp-server-browserbase — official MCP, MIT

Browserless

• browserless.io/pricing — unit billing, tiers, session caps
• docs.browserless.io — REST APIs, BrowserQL, residential proxies, MCP
• github.com/browserless/browserless-mcp — official MCP

Hyperbrowser

• hyperbrowser.ai — product positioning, AI-agent focus
• github.com/hyperbrowserai/mcp — official MCP, MIT

Anchor

• anchorbrowser.io — pricing, features, compliance, deployment options

Related comparisons on this site

• Chrome DevTools MCP vs Playwright MCP (2026) — when local browser MCPs win over hosted
• Cowork vs ChatGPT Agents vs Operator vs Manus (2026) — agentic-browser products at a higher abstraction
• Firecrawl vs AnyCrawl vs Crawlee vs Playwright (2026) — scrape-and-crawl comparison
• What is MCP — protocol primer underlying all three MCP servers above

Internal links

• /servers/browserbase
• /servers/browserless
• /servers/hyperbrowser
• /servers — browse all 3,000+