serp.fast

StagehandRising Star

TypeScript SDK by Browserbase for building AI-powered web automation – act, extract, and observe with natural language commands.

Nathan Kessler
By Nathan KesslerUpdated

Each tool is evaluated against our methodology using public docs, vendor demos, and hands-on testing.

Agentic extraction tools use AI models (often vision-language models) to autonomously understand and interact with web pages. Instead of writing CSS selectors or XPath queries, you describe what data you want in natural language and the AI figures out how to get it. This approach is more resilient to website changes and can handle complex, multi-step extraction workflows.

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Features

✓JS Rendering
✓Structured Output
✓Open Source
✓Self-Hosted Option
Pricing:Free

Editorial assessment

Elegant API design – act(), extract(), and observe() map perfectly to how AI agents interact with web pages. 11.5K+ GitHub stars and Browserbase backing ensure continued development. TypeScript-only limits the audience (most AI/ML tooling is Python). Tightly coupled with Browserbase for cloud execution. The open-source framework is free but production use naturally leads to Browserbase spend.

How Stagehand compares

ScrapeGraphAI

ScrapeGraphAI focuses on extraction specifically, while Stagehand handles broader page interaction and navigation.

See full Stagehand alternatives comparison →

Frequently asked questions

Is Stagehand open source?

Yes. Stagehand is open source under the MIT license, maintained by Browserbase on GitHub. It is built on top of Playwright and adds natural-language primitives for driving a browser. The MIT license permits commercial use and modification. The framework is free to install and run. Your costs come from the LLM provider you connect for the natural-language calls, plus any Browserbase cloud usage you choose to add.

How much does Stagehand cost?

The Stagehand SDK is free. Spending comes from two external pieces. First is the LLM provider whose API key you supply, billed per token for the act, extract, and observe calls. Second is Browserbase cloud browsers, an optional layer for production that has its own free and paid tiers. Running locally against your own browser avoids Browserbase charges entirely, leaving only the LLM token cost.

Can Stagehand be self-hosted?

Yes. Stagehand runs locally against a Playwright-controlled browser on your own machine or infrastructure, using an LLM API key you provide. You are not required to use Browserbase. The Browserbase cloud is an optional layer for managed sessions and zero-infrastructure deployment. Many teams develop and run Stagehand entirely self-hosted, then connect Browserbase only when they need hosted browsers at scale.

What language does Stagehand use, TypeScript or Python?

Stagehand is primarily a TypeScript SDK, and that is its main implementation. This is worth knowing for AI teams, since most machine-learning tooling lives in Python rather than TypeScript. Whichever language you use, the core primitives stay the same: act for actions, extract for structured data, observe for inspecting the page, and a higher-level agent flow for multi-step tasks.

Does Stagehand handle JavaScript-rendered pages and structured extraction?

Yes. Stagehand is built on Playwright, so it drives a real browser and renders JavaScript-heavy pages before acting on them. Its extract method takes a schema, typically a Zod schema in TypeScript, and returns typed JSON matching that shape. A live browser plus schema-constrained output is the main reason teams pick it for agent-style scraping where they need predictable data structures rather than raw HTML.

How does Stagehand compare to Browser Use?

Both turn natural-language instructions into browser actions. Browser Use is Python-first and leans toward autonomous agents that decide their own steps. Stagehand gives you lower-level primitives (act, extract, and observe), so you script the flow and call the model only where you need it, which makes runs more deterministic and easier to debug. Pick Browser Use for open-ended autonomous tasks. Pick Stagehand when you want repeatable, controlled automation with typed extraction.

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