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stagehandvsfirecrawl

MIT 183 14 22,012
2.8 million (month) Oct 29 2024 3.2.1(2026-04-10 21:10:37 ago)
- - - None
Apr 01 2024 0.0.0(2025-03-15 00:00:00 ago)

Stagehand is an AI-powered browser automation framework for JavaScript and TypeScript, built by Browserbase. It provides a simple API for controlling browsers using natural language instructions, powered by large language models.

Stagehand offers three core primitives:

  • act() Performs actions on the page described in natural language. For example, page.act("click the login button") will find and click the appropriate element.
  • extract() Extracts structured data from the page based on a natural language description and an optional schema definition.
  • observe() Analyzes the current page state and returns actionable elements and their descriptions, useful for understanding what actions are available on a page.

Key features include:

  • TypeScript-first Built with full TypeScript support and type-safe extraction using Zod schemas.
  • Multiple LLM providers Works with OpenAI, Anthropic, and other LLM providers for powering the AI.
  • Vision and DOM analysis Combines visual screenshot analysis with DOM inspection for robust element identification.
  • Playwright integration Uses Playwright as the browser automation backend, giving access to the full Playwright API alongside AI-powered actions.
  • Browserbase cloud Optionally integrates with Browserbase cloud for managed browser infrastructure.

Stagehand is particularly suited for automating complex web workflows where traditional selectors would be fragile, such as interacting with frequently changing UIs or scraping sites with dynamic layouts.

Firecrawl is an AI-powered web scraping API that converts web pages into clean Markdown or structured data, optimized for use with large language models (LLMs) and retrieval-augmented generation (RAG) pipelines. It handles JavaScript rendering, anti-bot bypass, and content extraction automatically.

Firecrawl offers multiple modes:

  • Scrape Convert a single URL into clean Markdown, HTML, or structured data. Handles JavaScript rendering and anti-bot protections automatically.
  • Crawl Crawl an entire website starting from a URL, with configurable depth, URL patterns, and page limits. Returns all pages as clean Markdown.
  • Map Quickly discover all URLs on a website without fully scraping each page. Useful for sitemap generation and crawl planning.
  • Extract Use LLMs to extract specific structured data from pages based on a schema definition.

Key features:

  • Clean Markdown output ideal for LLM context windows
  • Automatic JavaScript rendering with headless browsers
  • Built-in anti-bot bypass for protected websites
  • Structured extraction with JSON schemas
  • Batch crawling with webhook notifications
  • Python and JavaScript SDKs

Firecrawl is a commercial API service (requires API key, has a free tier) backed by Y Combinator. It has become one of the most popular tools for feeding web content into AI applications and is widely used in the LLM/RAG ecosystem.

Note: while the primary service is an API, the core is open source and can be self-hosted.

Highlights


ai-powerednatural-languagetypescript
ai-poweredpopularasync

Example Use


```javascript import { Stagehand } from '@browserbasehq/stagehand'; import { z } from 'zod'; const stagehand = new Stagehand({ env: 'LOCAL', // or 'BROWSERBASE' for cloud browsers modelName: 'gpt-4o', }); await stagehand.init(); const page = stagehand.page; // Navigate to a page await page.goto('https://news.ycombinator.com'); // Use natural language to interact await page.act('click on the "new" link in the navigation'); // Extract structured data with a schema const stories = await page.extract({ instruction: 'Extract the top 5 story titles and their point counts', schema: z.object({ stories: z.array(z.object({ title: z.string(), points: z.number(), })), }), }); console.log(stories); // Observe available actions on the page const actions = await page.observe('What actions can I take on this page?'); console.log(actions); await stagehand.close(); ```
```python from firecrawl import FirecrawlApp app = FirecrawlApp(api_key="YOUR_API_KEY") # Scrape a single page - get clean markdown result = app.scrape_url("https://example.com/blog/article") print(result["markdown"]) # clean markdown content # Extract structured data with a schema result = app.scrape_url( "https://example.com/product/123", params={ "formats": ["extract"], "extract": { "schema": { "type": "object", "properties": { "name": {"type": "string"}, "price": {"type": "number"}, "description": {"type": "string"}, }, } }, }, ) print(result["extract"]) # {"name": "...", "price": 29.99, ...} # Crawl an entire website crawl_result = app.crawl_url( "https://example.com", params={"limit": 100, "scrapeOptions": {"formats": ["markdown"]}}, ) for page in crawl_result["data"]: print(page["metadata"]["title"], page["markdown"][:100]) # Map all URLs on a site map_result = app.map_url("https://example.com") print(f"Found {len(map_result['links'])} URLs") ```

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