AI-driven browser automation, pointing a language model at a web page and letting it figure out how to fill a form or extract data, has become a popular alternative to writing brittle CSS-selector scripts by hand. Browser Agent is an open-source entry in that space, giving developers TypeScript and Python SDKs to script AI-guided browser tasks against Chrome and Chromium. It works with a range of LLM providers (OpenAI, Anthropic, Google, Together, OpenRouter, vLLM), so you're not locked into one model vendor, and includes encrypted credential handling, event streaming to track task progress, and built-in OCR for reading text from images or non-standard page elements. The published benchmark for its code-generation variant reports a 31% task success rate, against 78% for the more established Browser Use project on the same benchmark, a number worth knowing before you build on it.
| # | Tool | Best for | Price |
|---|---|---|---|
| 1 | Développeurs, grandes entreprises et équipes IA qui automatisent la navigation web, l'extraction de données ou les tests QA | — | |
| 2 | Développeurs | — | |
| 3 | Développeurs | — | |
| 4 | Développeurs | — |
Browser Use gives AI agents a real browser to click around in — instead of scraping brittle APIs, it lets an AI fill out forms, extract data or test your site the way a human would, and it's ranked #1 on a leaderboard of 200+ long-horizon browser tasks.
