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StagehandOpen-source AI browser automation framework built for simplicity and extensibility.

4.3 (4)

Overview

Stagehand is a web browsing framework that lets developers build AI agents capable of navigating, interacting with, and extracting data from websites. It combines deterministic Playwright-style code with natural language instructions, giving teams fine-grained control when they need it and high-level abstractions when they don't. The framework is designed around a small, predictable API focused on actions like observing a page, acting on elements, and extracting structured data. Its extensible architecture supports custom models, caching, and integration into broader agent stacks, making it suitable for everything from quick scraping scripts to production-grade browsing workflows.

Key features

  • Natural language act, observe, and extract methods
  • Structured data extraction with schemas
  • Playwright compatibility for low-level control
  • Support for multiple LLM providers
  • Caching for repeatable browser actions
  • Composable with agent frameworks

Pricing

Model
Freemium
Rating
4.3 / 5 (4)

Use cases

Build AI agents that browse the web

Developers can create agents that navigate sites, click elements, and complete multi-step workflows using natural language instructions backed by deterministic Playwright code.

Structured data extraction from websites

Use the extract method with schemas to pull clean, structured data from web pages for analytics, monitoring, or feeding downstream applications.

Production-grade scraping pipelines

Combine caching, Playwright compatibility, and natural language fallbacks to build reliable scraping workflows that handle dynamic and changing site layouts.

Integrate browsing into agent stacks

Plug Stagehand into broader agent frameworks as a composable browsing tool, letting LLM-powered systems interact with the live web as part of larger task flows.

Pros & Cons

Pros

  • Blends code and natural language control
  • Open source and self-hostable
  • Compatible with Playwright workflows
  • Simple, minimal API surface
  • Extensible with custom models and tooling

Cons

  • Requires developer skills to use effectively
  • LLM calls can add latency and cost
  • Reliability depends on underlying model quality

Reviews

4.3

Average from 4 ratings.

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LP

Linda Petersen

Mar 25, 2026

Compared a few options

Evaluated this against two competitors. Where it wins: structured data extraction with schemas and extensible with custom models and tooling. On balance the feature set — especially structured data extraction with schemas — justifies the 5 stars for our use case.

OH

Omar Haddad

Jan 10, 2026

Does the job

Pretty happy overall. Composable with agent frameworks just works and blends code and natural language control. LLM calls can add latency and cost can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Frank Müller

Frank Müller

Oct 7, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on caching for repeatable browser actions, and compatible with Playwright workflows caught me off guard. Reliability depends on underlying model quality is why this isn't a perfect score, still, I'd recommend giving it a real trial.

MB

Marcus Bell

Sep 16, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: structured data extraction with schemas and blends code and natural language control. Where it lags: requires developer skills to use effectively. On balance the feature set — especially playwright compatibility for low-level control — justifies the 4 stars for our use case.

Q&A

Where can I get help with Stagehand?

Join the Stagehand community Discord at discord.gg/stagehand — it's the best place to ask questions, share what you're building, and get help from the team and other developers.

Asked by Vikram Rao · Nov 20, 2025

When should I use act/extract/observe vs agent?

Use act, extract, and observe when you want precise, step-by-step control over browser actions — they're deterministic and predictable. Use agent when you need multi-step workflows executed autonomously, like navigating a complex checkout flow. Most teams combine both: agent for exploration, individual primitives for critical paths.

Asked by Sanjay Gupta · Nov 15, 2025

Is Stagehand open source?

Yes. Stagehand is fully open source under the MIT license. You can find the source code, contribute, and file issues on GitHub at github.com/browserbase/stagehand.

Asked by Zofia Kaczmarek · Nov 12, 2025

What LLM providers does Stagehand support?

Stagehand supports all major model providers — including OpenAI, Anthropic, and Google Gemini — via the Vercel AI SDK. If you're on Browserbase, you can also use Model Gateway to access every supported model through a single Browserbase API key, with no separate accounts or credentials to manage.

Asked by Ethan Brooks · Oct 3, 2025

How is Stagehand different from Playwright or Selenium?

Traditional frameworks like Playwright and Selenium rely on hardcoded selectors that break whenever a site updates its DOM. Stagehand uses AI to resolve instructions like "click the submit button" at runtime, so your scripts survive page redesigns without maintenance. You still get deterministic control — Stagehand isn't a black-box agent.

Asked by Anya Sokolova · Sep 23, 2025

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