Last updated: June 2026. Every claim on this page links to a published source: Anchor's documentation, or Browserless's own pricing, documentation, and trust pages. Pricing and plan details reflect each company's published pages as of this date.

Anchor Browser and Browserless both run Chromium for you instead of asking you to operate browser fleets yourself. They come at it from different histories. Browserless has spent years as the self-hosting standard for headless Chrome: a Docker image you run on your own infrastructure, with REST endpoints for content, screenshots, and PDFs, and BrowserQL for scraping behind bot detection. Anchor is a managed platform built around AI agents that have to sign in somewhere and stay signed in, with a published compliance envelope and the option to run inside your own cloud.

The differences that decide real evaluations are documentable: how each platform handles authentication that survives across separate agent runs, how each one is priced and metered, what self-hosting and deployment look like, and how deep the published compliance posture runs. This page lays out each one with sources, including the places where Browserless is the stronger choice.

Where Browserless is strong

An honest comparison starts here.

• The self-hosting standard for headless Chrome. Browserless ships an open-source Docker image you run on your own infrastructure, covering Puppeteer, Playwright, and the core REST APIs. For teams that want the browser process inside their own environment with no managed dependency, this is a mature, well-traveled path with years of operating history.

• REST APIs for the common outputs. Browserless exposes standalone HTTP endpoints for rendered content, screenshots, and PDFs, plus a /function endpoint for multi-step Puppeteer logic. You POST a JSON body and get a result back with no SDK or WebSocket to manage, which is a clean fit for render-and-return workloads.

• BrowserQL for scraping behind bot detection. BrowserQL is Browserless's purpose-built layer for accessing pages that fight automation, with built-in CAPTCHA solving (Cloudflare, reCAPTCHA, and others), residential and third-party proxy routing, fingerprint and stealth handling, an /unblock API, and a reconnect feature that reuses sessions to cut proxy usage. For scraping-heavy work, this is a strong, focused toolkit.

If your workload is render-and-return or scraping, and you want to run the browser yourself on infrastructure you control, Browserless is a reasonable choice. The rest of this page covers the dimensions where the platforms diverge.

Authentication that survives across agent runs

This is the largest difference between the two platforms.

Browserless keeps sessions alive within a workflow. Its reconnect feature lets a session persist across multiple API requests so you can reuse the same browser and its cached data, which reduces proxy usage and repeated bot checks. A managed identity layer, credential storage tied to a reusable identity, and automatic re-authentication when a saved login expires are absent from Browserless's published docs. Persisting a login across separate agent runs, and recovering when that login goes stale, is logic you build and operate yourself.

Anchor persists browser state and manages re-authentication. Anchor has the state-persistence primitive: Profiles store cookies, local storage, and cache from a session and outlive it. On top of that sits OmniConnect, Anchor's identity layer: you store credentials once on an identity, attach the identity when creating a session, and the browser starts signed in. When the saved state expires, Anchor re-authenticates automatically.

The identity layer extends through the rest of the authentication stack:

• Multi-factor authentication. Identities handle TOTP-style authenticator flows (credential types), and email-based one-time passcodes work through a dedicated mailbox per identity: forward the login emails, and the OTP is consumed automatically during identity creation, re-authentication, and live agent sessions. For codes that have to come from an external system mid-run, event coordination lets your backend inject them without stopping the task.

• Credentials stay out of the model. Secret values pass credentials to an agent as references that resolve only at typing time; real values are never visible to the AI model, are processed in memory, are excluded from logs and telemetry, and can be scoped to specific domains.

• 1Password integration. Secrets, including TOTP codes, resolve directly from 1Password vaults at session creation, so credentials live in your vault rather than in your codebase.

• End-user sign-in for SaaS builders. If your product's users need to connect their own accounts, OmniConnect's hosted flow lets them sign in on Anchor's UI and hands your app back an identity ID, so your application never touches their credentials.

Anchor's security documentation also states that customers are never required to store credentials on the platform; session-based authentication is available when you want credentials to exist only at runtime.

Pricing: two different unit models

The two companies meter differently, so the comparison is about model shape rather than a single per-unit rate.

Browserless prices on a single abstract unit that bundles browser time and add-ons together. Each published plan includes a monthly unit allotment, with overage priced per unit, and proxy and CAPTCHA usage drawn from the same pool. From the Browserless pricing page (annual billing):

Browserless also draws proxy and CAPTCHA from the same unit pool: 6 units per MB for residential proxy, 2 units per MB for datacenter proxy, and 10 units per successful CAPTCHA solve.

Anchor prices each metered resource separately, from its pricing page: $0.05 per browser-hour, $0.01 per browser creation, $8 per GB of Anchor proxy data, and $0.01 per AI step, on top of a plan fee (Free with $5 in monthly credits; Starter $50/month; Growth $2,000/month; Enterprise custom). Published concurrency runs 5, 25, 200, and 500+ across those tiers.

The practical read: Browserless's unit model is straightforward to budget when your workload maps cleanly onto its plan allotments, and its entry tiers start low. Anchor's per-resource model makes browser-hours, proxy GB, and AI steps each legible as a separate line, which is easier to reason about when one of those dimensions dominates your bill. Because the two meters are not denominated in the same way, a side-by-side dollar figure depends on the exact shape of your workload, so model your own usage against both pricing pages rather than relying on a single multiplier.

Deployment: self-hosted Docker, managed cloud, EU residency, or your own cloud

Browserless's deployment story centers on self-hosting. The open-source Docker image covers core browser automation (Puppeteer, Playwright, and the basic REST APIs) and is free for non-commercial and open-source use under its source-available license. Running it in a closed-source commercial or CI environment, or unlocking BrowserQL, stealth and CAPTCHA solving, session recording, the live debugger, webhooks, and OpenTelemetry in a self-hosted image, requires a commercial (Enterprise) license; GPU-enabled and custom-location private deployments sit at the Enterprise level. Browserless also runs a managed cloud, billed through the unit plans above.

Anchor's managed service processes and stores customer data in AWS us-east-2 (Ohio), with dedicated European data residency in AWS eu-central-1 (Frankfurt) available on the Growth plan. For teams whose security model requires the browsers themselves to run inside their own boundary, Anchor's Enterprise tier offers bring-your-own-cloud and on-premise deployment with a managed control plane, and Anchor is available through the AWS Marketplace.

The two answer the "run it where our data lives" question from opposite starting points. Browserless gives you a container to operate yourself, with the platform features you depend on gated to its commercial license. Anchor gives you a managed platform first, with BYOC and on-premise as an Enterprise option, so the identity layer, compliance posture, and observability surfaces come along inside your own cloud rather than being something you stand up and maintain.

Security and compliance

Both companies publish real security postures. The published depth differs.

"Absent from published docs" means exactly that: the claim does not appear on the company's public pages as of the date above, and procurement teams should confirm directly. Anchor's compliance certifications apply on Growth and Enterprise tiers. Browserless's trust center makes its SOC 2 Type II report and subprocessor list available on request rather than published.

Anchor's session data model is ephemeral by architecture: anything accessed, generated, or downloaded during a session either transfers directly to your environment over a peer-to-peer channel or is irretrievably deleted with the virtual machine when the session ends (security docs).

Debugging and production observability

Both platforms offer session visibility. Browserless's self-hosted Enterprise image ships session recording, a live debugger, structured logs, and OpenTelemetry traces and metrics. Anchor sessions record to MP4 by default, stream a live view you can embed in your own product (interactive or read-only), and expose three structured log streams per session through the API: agent logs, browser-action logs, and network-response logs, plus page-state snapshots captured during executions. Recordings pause and resume through the API when a workflow crosses screens that should stay off video.

Side-by-side summary

Which one fits your workload

Teams choose Browserless when they want to run the browser themselves on infrastructure they control, when the work is render-and-return (content, screenshots, PDFs) or scraping behind bot detection where BrowserQL's CAPTCHA and proxy stack carries the load, and when an open-source Docker core they can fork and extend matters more than a managed platform.

Teams choose Anchor when the automation has to log in somewhere and stay logged in across runs, when sessions carry real credentials that must stay invisible to the model, when procurement requires published ISO 27001 or GDPR posture or an EU region, and when the deployment has to land inside their own cloud with the identity layer, compliance envelope, and observability coming along as a managed control plane rather than something to operate.

Frequently asked questions

Is Anchor Browser a drop-in Browserless alternative? For Playwright and Puppeteer workloads, yes: Anchor exposes standard CDP-compatible browser sessions with Node.js and Python SDKs and integration guides for the common agent frameworks. If you rely on Browserless's REST /content, /screenshot, or /pdf endpoints, you would express those as actions inside an Anchor session rather than as single-purpose HTTP calls.

Can I self-host Anchor the way I self-host Browserless? The models differ. Browserless's open-source Docker image is built for self-managed infrastructure, with advanced features gated to a commercial license. Anchor's equivalent is bring-your-own-cloud and on-premise deployment on the Enterprise tier, where Anchor's platform runs inside your boundary with a managed control plane rather than as a container you operate end to end.

Does Anchor handle logins that require MFA? Yes. Identities support authenticator-style credentials, email OTP routes one-time codes through a dedicated per-identity mailbox, and event coordination injects codes from external systems mid-session. A comparable managed identity or MFA layer is absent from Browserless's published docs.

Does the AI agent ever see stored passwords? No. Secret values resolve at typing time; real values are never visible to the model and are excluded from logs and telemetry. With the 1Password integration, values resolve from your vault at session creation.

How do the two handle CAPTCHAs and bot detection? Both solve CAPTCHAs and route proxies. Browserless concentrates this in BrowserQL, with CAPTCHA solving, fingerprint and stealth handling, an /unblock API, and residential proxy routing. Anchor offers vision-based CAPTCHA solving including Cloudflare on paid plans, with built-in stealth and Cloudflare Web Bot Auth. Anchor's results on the published benchmarks that test detection survival, including Halluminate's BrowserBench and Browser Use's stealth benchmark, are collected with sources on Anchor Browser benchmark results.

Where do these numbers come from? Every figure on this page links to its source: Anchor's pricing and security pages, and Browserless's pricing, documentation, and trust center. Published pages change; the date at the top is the verification date.