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.

AI Web Scraper automates the process of collecting and structuring data from websites by combining a headless browser for rendering JavaScript with powerful AI-driven parsing. Users supply a URL and optional custom prompts, and the tool fetches the page, renders dynamic content, and feeds the result into a large language model to extract tables, lists, metadata, summaries, or any user-defined information. Output is provided in clean JSON, ready for downstream processing or integration into data pipelines.

Skrape.ai is a web scraping solution designed to transform web data into structured formats like JSON and Markdown. It supports dynamic content and JavaScript rendering, making it robust for modern web applications. It can automate the collection of diverse datasets for training AI models, build knowledge bases, monitor AI content, and extract technical documentation. The platform ensures fresh, real-time data with features like smart crawling and no caching, making it ideal for reliable and consistent data extraction.