Browser Automation

Browser automation lets your AI employee interact with websites and web applications the same way a human would — clicking buttons, filling forms, navigating pages, and extracting information. This is useful for interacting with tools that do not have APIs, submitting forms on your behalf, extracting data from web dashboards, and automating repetitive web-based tasks. The AI uses a headless browser that runs on your dedicated server for most tasks, and can escalate to a cloud-hosted stealth browser (Browserbase) for bot-hostile sites — see the "Browser Automation — Local vs Cloud" article for the two-tier model.

Your AI employee maintains persistent browser profiles that preserve cookies, login sessions, and preferences across multiple automation sessions. This means you can log into a web application once and the AI will stay logged in for future interactions. Persistent profiles eliminate the need to re-authenticate every time the AI needs to access a web-based tool, making automations more reliable and faster.

Your AI employee can navigate web applications, click buttons, fill in form fields, select options from dropdowns, upload files, and capture screenshots. This enables interaction with tools like internal dashboards, legacy systems without APIs, government portals, and any web-based application. You describe what needs to be done in natural language, and the AI translates your instructions into browser actions.

Browser automation excels at extracting data from web pages that do not offer APIs or data exports. The AI can navigate to a page, identify the relevant data (tables, lists, text blocks), and extract it into a structured format. This is useful for pulling reports from web dashboards, scraping pricing information from supplier websites, collecting data from multiple pages, and monitoring web-based metrics.