BrowserAct

BrowserAct gives AI agents a browser layer for web automation, scraping, and logged-in workflows. Its official site focuses on agent-native browser sessions that can handle blocked pages, isolate identities, reuse local Chrome sessions, and return cleaner web data for reasoning.

• Anti-blocking browser layer — advertises stealth fingerprints, TLS rotation, rotating proxies, and CAPTCHA handling • Multiple browser modes — supports local Chrome login reuse, stealth private mode, and fixed-identity profiles for multi-account scenarios • Concurrent isolated sessions — each task can run with separate browser identity and workspace to avoid state pollution • Agent-native interfaces — designed around LLM-friendly clean text output, indexed interactions, and semantic memory • API and MCP access — can be used from local agents, cloud workflows, API calls, and MCP integrations