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Full-Stack Web/Next.js

Large-Scale Song Lyrics Platform

Full-Stack Developer · Client project

A large-scale lyrics platform that aggregates and serves millions of song lyrics from artists across multiple languages, designed to deliver a fast, SEO-optimized search experience while efficiently handling massive datasets and high organic traffic.

Millions of lyrics indexed

SSR · SSG · ISR

Automated crawl pipeline

Core Web Vitals tuned

The Challenge

Serving millions of lyrics records across many languages while ranking in organic search demands both a massive, always-fresh dataset and pages that load fast and index cleanly — two goals that usually pull against each other.

The Approach

Paired a Next.js frontend using SSR, SSG, and ISR with a Java Spring Boot backend and an automated crawl-and-ingest pipeline that normalizes, validates, and de-duplicates records into MongoDB, with Redis caching and advanced SEO (structured data, sitemaps, Core Web Vitals tuning) to maximize visibility.

Key Features

  • Automated web crawling and large-scale content ingestion pipeline
  • Continuous processing of millions of song lyrics and metadata records
  • Intelligent data normalization, validation, and duplicate detection
  • High-performance lyrics search with artist, album, and song navigation
  • SEO-optimized dynamic pages with rich metadata
  • Server-Side Rendering (SSR), Static Site Generation (SSG), and Incremental Static Regeneration (ISR)
  • XML sitemap generation and Schema.org structured data
  • Optimized Core Web Vitals and page performance

Technical Highlights

  • Frontend built with Next.js using SSR, SSG, and ISR to maximize SEO and page speed
  • Scalable backend services with Java Spring Boot powering content management and search
  • Automated web crawling and content ingestion pipeline processing millions of records
  • Optimized MongoDB data model for large-scale document storage and retrieval
  • Redis caching layer to reduce database load and accelerate API responses
  • Advanced SEO strategies: canonical URLs, structured data, XML sitemaps, internal linking

Outcome

Built a scalable platform capable of continuously collecting, processing, indexing, and serving millions of song lyrics with excellent performance and search engine visibility.