Browserbase

Browserbase

Browserbase is a complete platform for building and deploying AI agents that interact with the web. It provides cloud-hosted browser instances, web search, page fetching, and access to major LLMs through a single API key. Key capabilities include programmable browser sessions, search and fetch APIs, identity management for authenticating agents, a scalable runtime, and integrated observability for debugging. Target users are developers and founders building browser-based agents, automation workflows, data extraction pipelines, and end-to-end tests. It supports major automation frameworks like Playwright, Puppeteer, and Selenium, and integrates with AI agent frameworks like LangChain and CrewAI. Use cases span healthcare, finance, legal, and general business operations.

Automation
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Added on
Sep 22, 2026
Cloud BrowsersWeb Search APIFetch APIAgent IdentitySandbox RuntimeModel GatewayStagehand SDKObservabilityCustom ProxiesAuto CAPTCHA Solving
Product information

Everything worth knowing about Browserbase

The complete picture — from everyday features to the technical detail builders and IT folks dig for.

Core features

What it actually does

Cloud Browsers for Agents
Give your agents access to fleets of headless browsers to navigate and interact with websites like a human, handling logins and dynamic content.
Web Search & Fetch APIs
Let agents quickly find relevant websites with a single query (Search) and retrieve clean page content as HTML, JSON, or markdown (Fetch).
Agent Identity & Stealth
Enable agents to authenticate and bypass CAPTCHAs on sites using dedicated stealth research and strategic partnerships (e.g., Cloudflare).
Scalable Runtime
Deploy and run agents on Browserbase with scalable, sandboxed environments for faster and more secure execution.
Observability & Debugging
Unified debugging across session replays, logs, and prompts to monitor and fix agent workflows.
Technical capabilities
Stagehand AI Framework
The AI SDK for browser agents, offering natural language selectors, self-healing actions, and integration with major LLMs and agent frameworks like LangChain and CrewAI.
Model Gateway
A single API key provides access to major LLMs (e.g., via the Stagehand SDK) with unified billing and the ability to switch models without code changes.
Must watch videos
LangChain CEO Harrison Chase on the infrastructure bet he got wrong
51:58
Tutorial51:58
LangChain CEO Harrison Chase on the infrastructure bet he got wrong
- Chase (Co-Founder & CEO of LangChain) has rebuilt his product stack four times since 2022, chasing models that kept changing underneath him. In this episode of Navigators, Paul sits down with him to talk about what LangChain got right, and the one piece of infrastructure it built years too late. Harrison admits the team underestimated how massive the demand for raw inference would become, and how big general-purpose coding agents would get. He walks through the shift from LangChain to LangGraph to DeepAgents, why sub-agents rarely work the way people expect, and why LangChain now runs its own hiring, content, and coding work through internal agents exposed in Slack. Topics covered: - The gateway LangChain should have built a year earlier - Why agent capability converging on human capability changes the tools debate - Code mode: why agents writing code beats agents using human-style tools - Running GTM, content, and coding agents entirely inside Slack - Why sub-agents need to own whole tasks, not small pieces - The agent identity problem: delegated access vs. service accounts - Why LangChain's own AI slop problem got bad enough to need a Slack emoji --- Navigators is a series by Browserbase where we sit down with AI leaders navigating the future of what's happening in AI today. Host: Paul Klein (@pk_iv), founder, Browserbase Guest: Harrison Chase (@hwchase17), co-founder and CEO, LangChain Browserbase: https://browserbase.com LangChain: https://langchain.com
Agents will use the internet - Navigate 2026 Keynote
18:25
Tutorial18:25
Agents will use the internet - Navigate 2026 Keynote
A $5 Billion Fintech company CEO on the framework behind every product decision
41:42
Tutorial41:42
A $5 Billion Fintech company CEO on the framework behind every product decision
Immad Akhund (Co-Founder & CEO of Mercury) uses what he calls the cosmic cube to decide what Mercury builds next: one axis for customer type, one for product, one for compliance and infrastructure. In this episode of Navigators, Paul sits down with him to talk about why that space is functionally infinite, and why trying to expand into all of it at once is how companies lose. Immad also explains the two-year mistake of waiting to launch a corporate credit card, why he treats every new product like a fresh seed-stage startup inside Mercury, and why talent, not capital, is the real limit on how many bets the company can run at once. CHAPTERS: 00:00 Why 1-on-1s stopped working once he was managing execs 07:34 Agentic cards: letting AI spend on your behalf 11:09 Why fintech is three times harder than software 13:50 Chewing glass: getting bank-charter ready 16:08 Reaching the edge of knowledge in six months 28:26 Killing 1-on-1s and what Jensen Huang has to do with it 36:39 The "cosmic cube": how Mercury picks its next bet --- Navigators is a series by Browserbase where we sit down with AI leaders navigating the future of what's happening in AI today. Host: Paul Klein (@pk_iv), founder, Browserbase Guest: Immad Akhund (@immad), co-founder and CEO, Mercury Browserbase: https://browserbase.com Mercury: https://mercury.com

Who uses it

Real use cases, no hype
Build Browser Agents
Power AI agents that navigate complex, login-protected web apps autonomously.
Automated Web Testing
Run end-to-end tests in isolated, scalable browser environments to catch broken flows.
Large-Scale Data Extraction
Scrape and extract structured data from any website at scale, bypassing CAPTCHAs and blocks.
Workflow Automation
Automate tedious multi-step forms, job applications, and data entry across web portals.
Price & Content Monitoring
Track competitor prices, job listings, and content changes across thousands of sites in parallel.
Research at Scale
Spin up concurrent browser sessions for massive web research and real-time analysis.
Integrate AI with the Web
Bridge AI models (LangChain, CrewAI, etc.) to real-world web interactions via a single API.
What's great
  • Full-featured platform for browser agents: cloud browsers, search, fetch, runtime, model gateway.
  • Zero setup. Spin up a browser, connect your model, and run tasks immediately.
  • Integrated stealth and captcha solving for reliable web navigation.
  • Native compatibility with Playwright, Puppeteer, Selenium, and the Stagehand AI SDK.
Technical strengths
  • Unified observability with session replays and logs for debugging.
  • Advanced proxy rotation and IP management built-in for large-scale scraping.
  • Model Gateway allows using any major LLM with a single API key and unified billing.
Where it falls short
  • Costs can escalate quickly with heavy usage; browser hour pricing is key.
  • Free plan is very limited (1 browser hour, 3 concurrent browsers).
  • On-prem deployment not offered; it's a cloud-first platform.
Technical limitations
  • Data retention is limited to 7 days on the Free plan.
  • Advanced stealth mode requires Scale plan or custom pricing.
For technical folks

The deep-dive specs

FAQ

Includes technical Q&A
It's a platform for building and deploying agents that browse the web like humans. It provides cloud browsers, search/fetch APIs, a sandbox runtime, identity (stealth/captcha solving), a model gateway for LLMs, and observability tools—all under one API key.

Traffic Insights

Monthly Visits

—

October 2026

Growth Rate

0%

vs last month

Dominance

0%

in Automation

Top Country

—

Top Countries Breakdown

—

Growth Trend

Stable

Traffic has remained stable.

Honest pricing

No sneaky tiers, no “contact sales”

Here's who each plan is actually for — and where the hidden charges might hit.

Free
Free

Individuals

  • 3 concurrent browsers
  • 1 browser hour
  • 3 agent runs
  • 1000 Search calls
  • 000 Fetch calls
  • 15 minutes / session
Developer
$20/mo

Teams

  • 25 concurrent browsers
  • 100 browser hours (then $0.12/browser hr)
  • 15 agent runs
  • 1000 Search calls (then $7/1k calls)
  • 000 Fetch calls (then $1/1k calls
  • $4/1k calls with proxies)
Startup
Most picked
$99/mo

Teams

  • 100 concurrent browsers
  • 500 browser hours (then $0.10/browser hr)
  • 50 agent runs
  • 1000 Search calls (then $7/1k calls)
  • 10000 Fetch calls (then $0.5/1k calls or $4/1k calls with proxies)
Scale
Custom

Enterprise

  • 250+ concurrent browsers
  • 500+ browser hours (usage-based)
  • custom agent runs
  • 10000+ Search calls (usage-based)
  • the the the. to the
  • with. the the the the the.
View Full Plans & Pricing on Browserbase

Official pricing, checkout, and plan upgrades are handled directly on browserbase.com.

Reviews

What the internet actually thinks

Data refreshed weekly. No paid placements.

Trustpilot
Not reviewed yet
G2
G2
Not reviewed yet
C
Capterra
Not reviewed yet
Product Hunt
Not reviewed yet
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