Best structured data AI tools

Crawly is an AI-powered web crawler by Diffbot that automatically extracts structured data from entire websites. Simply input a URL, and Crawly spiders the site to pull key information like articles, products, and discussions, converting it into clean JSON or CSV data without any coding required.

Curlent is an AI-powered web scraping and data extraction platform that automates the collection of structured data from any website. It intelligently handles dynamic content, anti-bot measures, and complex layouts, providing clean, ready-to-use data via a powerful API.

Cloudglue is a developer-focused AI platform that transforms video files into structured, LLM-ready data. It enables the creation of powerful AI applications like video-based RAG systems, chatbots, and insightful analytics. With a simple API, it handles video processing, transcription, and multimodal analysis, allowing developers to easily integrate video knowledge into their products.

Tensorlake is an AI Data Cloud platform that transforms unstructured data from any source into structured, LLM-ready formats. It provides a Document Ingestion API and Serverless Workflows to build scalable, high-accuracy data pipelines for RAG systems and business process automation.

ScrapeGraphAI is an AI-powered web scraping API that transforms unstructured websites into clean, structured JSON data using simple natural language prompts. Designed for developers, AI agents, and automated workflows, it simplifies data extraction without complex code.

Textraction is a powerful AI-powered API that transforms unstructured text into structured data. By simply describing the information you need in natural language, you can extract any entity from documents, emails, or web content. With seamless API and Zapier integration, it automates data extraction, converting messy text into clean, table-ready JSON format, supporting multiple languages and endless custom use cases.

getmarkup is an AI-powered annotation tool, utilizing GPT-4 to rapidly build structured datasets from unstructured text. It's designed to accelerate NLP and ML workflows by automating and assisting in tasks like named-entity recognition, data classification, and concept mapping.

AgentQL is a developer toolset that connects LLMs and AI agents to the web. It uses an AI-powered query language to robustly extract structured data and automate web interactions, serving as a powerful, self-healing alternative to fragile XPath and CSS selectors.