Browserbase

Open-source browser automation for AI agents.

MIT-licensed Python framework that connects AI agents to a real browser to navigate, fill forms, extract data, and run multi-step web workflows. It parses the live DOM into a structured view so any model — Claude, GPT, Gemini, Qwen, DeepSeek — can act on it. A hosted Browser Use Cloud adds managed sessions and a fully-hosted agent.

Browser API for AI agents and apps.

A batteries-included headless-browser sandbox that lets AI agents automate the web without managing browser infrastructure. Steel handles sessions, cookies, proxy rotation, CAPTCHA solving, and page-to-markdown/screenshot/PDF conversion behind a single API, built on Puppeteer and the Chrome DevTools Protocol. Run the open-source image locally via Docker or use Steel Cloud's managed browser fleet.

Automate browser-based workflows on any website with AI.

An AI agent that completes browser workflows — form fills, logins, data extraction, multi-step flows — by combining computer vision with LLMs rather than hand-written selectors, so a single agent generalizes across sites it has never seen. Run it via the cloud app and API or self-host the open-source engine; bring your own model (OpenAI, Anthropic, Gemini, or local Ollama).

Full-stack web scraping and browser automation platform for AI data.

A cloud platform for web scraping, data extraction, and browser automation built around 'Actors' — serverless programs that crawl sites and return structured data. Its store offers tens of thousands of ready-made Actors, and outputs clean Markdown or JSON that feed LLMs, vector databases, and RAG pipelines via LangChain and LlamaIndex. The company also maintains the open-source Crawlee crawling library for local development.