
Anakin is an AI-native web data platform that turns any website into clean, structured, LLM-ready data through a single, developer-friendly API. Instead of juggling brittle scrapers, custom parsers, and manual cleanup, you simply point Anakin at a URL or domain and receive normalized JSON that’s ready to plug into your applications, data pipelines, or AI models. The platform automatically handles crawling, dynamic pages, pagination, and noisy layouts, so you can focus on building products rather than maintaining scraping infrastructure. Designed for AI engineers, data teams, and researchers, Anakin enriches raw web content with semantic understanding, smart field extraction, and consistent schemas across sites. This makes it ideal for powering RAG pipelines, knowledge bases, market intelligence dashboards, and any product that depends on up-to-date web information. Flexible parameters let you control depth, scope, and output format, while robust rate limiting and monitoring help you scale from prototypes to production. With Anakin, you get a reliable, API-first layer between the chaotic web and your AI stack—no headless browsers, no fragile selectors, and no endless regexes. Just high-quality, structured data that your LLMs, analytics tools, and internal services can trust.
Build LLM-powered research assistants that pull fresh, structured insights from news sites, blogs, and reports without maintaining custom scrapers.
Feed RAG pipelines and knowledge bases with normalized web data so your models can answer domain-specific questions using up-to-date information.
Automate market and competitor tracking by continuously extracting product, pricing, and feature data from multiple websites into a single schema.
Aggregate reviews, forums, and social content into structured datasets for sentiment analysis and trend detection.
Accelerate internal data projects by replacing manual copy-paste and ad-hoc scripts with a robust, reusable web data API.