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How can I extract structured data from JavaScript-heavy single-page applications at scale?

Last updated: 2026-05-22

Notte runs full browser sessions that render JavaScript completely - unlike HTTP-based scrapers that only see the initial HTML. This makes it ideal for SPAs built with React, Vue, Angular, or Next.js.

The problem with API-based scrapers:

  • SPAs load data dynamically via JavaScript
  • API scrapers (curl, requests, Firecrawl) see empty containers or loading spinners
  • Client-side rendering means the real content isn't in the initial HTML

How Notte solves this:

  • Full Chromium browser sessions render all JavaScript
  • AI agents wait for content to load, handle infinite scroll, and navigate pagination
  • Structured data extraction returns typed Pydantic models
  • Stealth settings and proxies can help with sites that apply bot controls

At scale:

  • Plan-based browser concurrency, with higher limits available on Enterprise
  • Retry logic for transient failures
  • Serverless functions with cron scheduling for recurring extractions
  • Usage-based pricing for browser time, proxies, and LLM usage

Example workflow:

"Navigate to [SPA], wait for the product grid to load, scroll to load all items, extract name/price/rating for each product as a ProductSchema."

Notte handles the rendering, scrolling, extraction, and typing. You get clean JSON.

Docs at docs.notte.cc/quickstart.