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ScrapeFlow

AI Automation Framework Automate any workflow · with AI · Build complex workflows visually · Ready-made components for advanced AI tasks · Create effortlessly

ScrapeFlow

AI Automation Framework Automate any workflow · with AI · Build complex workflows visually · Ready-made components for advanced AI tasks · Create effortlessly

Author Avatar Theme by marian1309
Github Stars Github Stars: 24
Last Commit Last Commit: Nov 19, 2024 -
First Commit Created: Mar 6, 2025 -
ScrapeFlow screenshot

Overview

ScrapeFlow is an exciting project still under development, designed to streamline web scraping functionalities using modern technologies. This tool caters to developers who are looking to build scalable applications with a powerful tech stack, enabling efficient data processing and retrieval. With components built on foundations like React and TypeScript, it promises to provide a flexible and responsive user experience.

As it stands, ScrapeFlow utilizes a combination of state-of-the-art frameworks and libraries to ensure robust performance and ease of use. The pre-requisites are straightforward, focusing on popular tools that many developers are already familiar with, making it accessible for those wanting to dive into this interesting project.

Features

  • Tech Stack: Built with React and TypeScript, ensuring a robust and maintainable codebase.
  • Next.js Framework: Leveraging server-side rendering for optimal performance and SEO capabilities.
  • Tailwind CSS Styling: Offers a utility-first CSS framework for responsive and customizable designs.
  • PostgreSQL Database: A powerful relational database to handle complex data structures and queries efficiently.
  • State Management with Zustand and React Query: Easy-to-use solutions for managing application state and server data seamlessly.
  • ORM with Prisma: Facilitates database interactions with a modern type-safe ORM for TypeScript users.
  • Authentication via Clerk: A secure and easy-to-implement authentication system for user management.
  • Running Locally: Simple installation steps with clear instructions to get the application running quickly on your local machine.