Web Voyager is an LLM-powered web navigation agent designed to automate complex browsing tasks. Utilizing OpenAI's GPT models, it interprets natural language instructions to traverse multiple web pages, follow specified hyperlinks, click buttons, fill out forms, download files, and capture screenshots. It extracts structured data from HTML elements like tables and lists, summarizes content, and generates answers to queries based on aggregated page data. Its modular Python SDK enables seamless integration into applications, removing the need for low-level browser automation code.

AutoBrowse is a developer library enabling LLM-driven web automation. By leveraging large language models, it plans and executes browser actions—searching, navigating, interacting, and extracting information from web pages. Using a planner-executor pattern, it breaks down high-level tasks into step-by-step actions, handling JavaScript rendering, form inputs, link traversal, and content parsing. It outputs structured data or summaries, making it ideal for research, data collection, automated testing, and competitive intelligence workflows.