LLMs and AI agents waste 60-80% of their context window on raw HTML when they browse the web. Your agent parses 15,000 characters of markup to find 3 form fields. It guesses wait times. It builds CSS selectors that break when the site ships a redesign. It dismisses cookie banners and popups, one action at a time. And the existing browser APIs (Browserless, Browserbase, Steel)? They give you hosted Playwright. Same raw HTML, same problems. They solved the infrastructure part but not the "LLMs can't work with this data" part.
So I built Browserbeam. It's a REST API that returns what LLMs actually need. You send JSON, you get structured JSON back:
Markdown content instead of raw HTML
Short element refs (e1, e2) instead of CSS selectors
A stability signal that tells your agent when the page is ready
A diff after every action showing what changed
Cookie banners, popups, and CAPTCHAs handled automatically
Structured forms with field refs, so filling a login page is one API call
AI-powered extraction: describe what you want in plain English ("the product title", "the price including currency"), the engine finds the right selector and caches it per domain. First scrape costs AI tokens. Every scrape after that is free.
One POST request replaces ~25 lines of Puppeteer code. No Playwright. No browser binaries to manage.
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