Browser Automation at Scale with Playwright and Browserless

AI agents often need to browse the web — researching topics, scraping data, filling forms, or taking screenshots. Self-hosted browser automation with Playwright Server or Browserless gives your agents reliable, scalable web access without third-party dependencies or rate limits.

Browserless: Browser-as-a-Service

Browserless runs headless Chrome instances in Docker, exposing a REST API and WebSocket endpoint for programmatic browser control. It handles browser lifecycle management, connection pooling, and resource cleanup automatically. better-openclaw includes Browserless in the Research Agent skill pack, pre-configured with appropriate resource limits.

Playwright Server: Multi-Browser Support

Playwright Server supports Chromium, Firefox, and WebKit, giving you cross-browser testing capabilities alongside web scraping. It's ideal when you need to test your applications or when certain websites block Chromium-based scrapers. better-openclaw includes Playwright Server as a standalone service option.

Scaling Considerations

Each browser instance consumes 100–300 MB of RAM. For high-volume scraping, configure connection limits in the Docker Compose file and add Redis for request queuing. better-openclaw sets sensible defaults: max 10 concurrent browsers for Browserless and proportional resource limits based on your available RAM.

Integration with AI Agents

Connect your browser automation to n8n workflows or directly to your AI agent. A common pattern: the agent decides it needs to research a topic, sends a URL to Browserless via its API, receives the page content, and processes it with an LLM. With SearXNG for private web search and Browserless for page rendering, your agent has complete web access without exposing user data to external services.