Skip to main content

AI Integrations

Add agentic browsing to your AI. Browserless runs managed, stealth-enabled browsers that your agent can control to plan, act, and observe the web. Use it two ways: as an agent's browser (LLM-directed) or as a reliable tool inside your workflow.

Before you start

What is agentic browsing?​

Agentic browsing lets an AI system decide what to do next based on what it sees in the browser. The model plans, takes an action in the page, observes the result, then repeats until the goal is reached. Browserless provides the robust browser runtime for this loop—stealth, proxy support, CAPTCHA solving, and persistent sessions—without you managing infrastructure.

Choose a path​

Agentic (LLM-directed)​

Use Browserless as the browser your agent controls via WebSocket or tools.

  • Browser Use — Agentic browsing in Python backed by Browserless
  • Vercel AI SDK — Build AI handlers and tools that call Browserless from Next.js
  • LangChain — Use Browserless tools and loaders inside chains and agents

Workflow and no-code tools​

Call Browserless as a reliable API inside your automation.

  • n8n — Drag-and-drop workflows with Browserless REST and BQL
  • Make — No-code automation calling Browserless
  • Zapier — Trigger Browserless actions from Zapier apps

What you can build​

  • Research agents that browse, click, and extract answers from multi-step sites
  • Automated form fill and verification flows with screenshots and PDF receipts
  • Structured scraping pipelines that bypass bot detection, then hand off clean sessions to Puppeteer or Playwright

Capabilities you get out of the box​

Stealth and anti-bot resilience, optional residential proxies, CAPTCHA solving and Cloudflare verification, persistent sessions and reconnection, regional endpoints, and BrowserQL for complex multi-step automation. Explore REST APIs and BrowserQL.