Building FastMedia Downloader: Microservices with FastAPI, Next.js, and Docker

Description and use

The author built and open-sourced FastMedia Downloader, a platform for extracting multimedia from over 1,000 sites. The architecture uses microservices: a FastAPI (Python) backend and a Next.js (TypeScript) frontend. The system is containerized with Docker, uses yt-dlp and FFmpeg for media processing, and includes automated CI/CD pipelines via GitHub Actions and vulnerability scanning via Dependabot.

Problem

Need to build a full-stack platform to inspect and extract multimedia content from over 1,000 supported platforms (YouTube, TikTok, Instagram, etc.) with low response times and isolated dependencies.

Outcome

Successfully built and open-sourced FastMedia Downloader, a microservices architecture supporting 1,000+ platforms with async processing, containerized dependencies, and automated security/CI/CD pipelines.

Workflow

• Design backend using FastAPI and Python 3.11 to manage asynchronous requests and media inspection.
• Integrate yt-dlp and FFmpeg via custom wrappers for media conversion and extraction.
• Build frontend using Next.js, TypeScript, and Tailwind CSS with i18n support and instant link parsing.
• Containerize both services using Docker Compose for isolated local deployment.
• Implement DevOps practices including GitHub Actions for CI/CD, Dependabot for vulnerability scanning, and repository rulesets.
• Process media metadata streams asynchronously to maintain low response times.
• Encapsulate low-level binaries like FFmpeg inside Docker containers to avoid host environment pollution.

Evidence

The system is split into two independent, containerized microservices: Backend (FastAPI + Python 3.11)... Frontend (Next.js + TypeScript + Tailwind CSS)... Infrastructure (Docker Compose)

Source

Processing media metadata streams asynchronously to keep response times low.

Source