Apify vs Ragie — Comparison

Apify

Cloud platform for web scraping, browser automation, AI agents, and data for AI. Use 23,000+ ready-made tools, code templates, or order a custom solut

We’re building the world’s largest platform for web data and tools for AI builders. Legal info Apify was launched by Jan Čurn and Jakub Balada in 2015 from the Y Combinator Fellowship in Mountain View, California. The original idea was to make it easy for developers to build flexible and scalable web crawlers simply using front-end JavaScript, thanks to the back-then new headless browser technology. In 2016, the team moved back to the Czech Republic, raised a seed investment, and started building a company around its product. Soon it became obvious that customers’ use cases need more than a simple JavaScript crawler, so we committed to building the most flexible full-stack platform for web scraping and browser automation. We're helping people get more value from the web, letting them automate mundane tasks and spend their time on things that matter. We strive to keep the web open as a public good and a basic right for everyone, regardless of the way you want to use it, as its creators intended. Trusted by industry leaders all over the world Ready-made Actors in Apify Store Prague startup Apify raises €2.8M for AI data mining Apify Powers Web Insights for Businesses, Cuts Cloud Costs by 25% Using AWS Sifted 30 ranks the fastest-growing startups across Central Europe Apify is a proud supporter of various non-profit projects and organizations. Bay Area hub for European startups expanding to the US. Linux Foundation project advancing agentic AI standards. Price transparency tool exposing fake e-commerce discounts. Real estate monitoring service built on Apify. Prague initiative to become a European AI hub. Non-profit helping women build careers in IT and data. Represents Czech startups in government dialogue. Charity that brings happiness to children from orphanages. Czech podcast and community for data professionals. Resources for presenting the Apify brand consistently and professionally. We’re looking for smart, talented, and ambitious people to join our growing team. Join us and help people get more value from the web.

Ragie

Meet Ragie.

Powered by the most advanced RAG pipeline, Ragie uses context engineering to deliver fast, accurate, context-rich retrieval—through structured chunking, multi-layered indexing, and LLM-aware optimizations—built for production-grade generative AI. Ragie is built for enterprise-scale workloads with multi-tenant architecture, SOC 2-compliant security, and seamless performance at any scale. Built to handle any data you throw at it — Ragie’s multimodal ingest pipeline processes text, PDFs, images, audio, video, tables, and more. It parses, enriches, and structures diverse content into a unified format ready for chunking, indexing, and retrieval. Ragie offers out-of-the-box features that accelerate your application development. Built to meet the security, scale, and reliability requirements of production AI. Seamless data ingest with built-in authentication and authorization Ragie’s fully-managed connectors handle authentication and authorization to securely access data from popular data sources, freeing up precious engineering time and resources. Automatic syncing keeps data up to date Automatic syncing keeps your RAG pipeline up to date, ensuring your application delivers accurate and reliable information around the clock. Growing library of native integrations Purpose-built for AI applications, Ragie’s growing list of native connectors allow seamless integration with the most popular data sources. Connect your data (or your customers’) to your app, no matter where it lives. With Ragie Connect, your customers can securely connect and manage their own data, directly from your application. For white-label version, chat with sales. Ragie is a fully managed RAG-as-a-Service designed for developers to streamline the ingestion, chunking, and multimodal indexing of structured and unstructured data. It offers simple APIs and SDKs, seamless integration with sources like Google Drive, Notion, and Confluence, and built-in capabilities like summary indexing, chunk reranking, flexible vector filtering, and hybrid semantic-keyword search. With agentic retrieval for multi-step reasoning and a context-aware MCP Server that enables intelligent tool use, Ragie helps your applications deliver state-of-the-art, agent-ready generative AI. Building production applications using RAG can be very tedious. Developers must connect and sync multiple data sources, extract meaningful data from various file formats, implement evolving techniques for chunking and retrieval, build a scalable and resilient data processing pipeline, avoid hallucinations, and ensure content accuracy. Using open-source frameworks can be time-consuming and often results in brittle applications. Originally developed for Glue, Ragie solves this by providing a fully managed RAG-as-a-Service platform. Ragie is ideal for developers who want to build AI applications that leverage their own data for accurate and relevant outputs. Whether you're working on internal chatbots, enterprise SaaS p

Apify

Ragie

Apify

Ragie

Apify

Ragie