georgeherald

Content-heavy local news platform with a Next.js frontend and scraping pipeline used to ingest, normalize, and publish article, gallery, and video feeds.

What it does

• Homepage and section pages for breaking news, top stories, business, sport, lifestyle, and community content.
• Data-driven cards/rotators for top stories, most-read, ticker updates, galleries, and videos.
• Scraping and feed ingestion utilities to keep the content dataset fresh.
• Structured routes for article detail pages and topic navigation.

Stack

• Next.js 16 + React 19
• Node.js scraping toolchain (axios, cheerio, xml2js, node-fetch)
• Workspace setup with a dedicated frontend package

Local development

npm install
npm run dev

Main scripts:

npm run build
npm run start

Repository structure

• frontend/ production web app
• backend/ supporting assets/utilities
• scraper/ scraping logic and extraction tooling
• scraped-data/ normalized content snapshots
• public/ static assets

Demo

Practical next improvements

• Add scheduled scraper jobs with health-check reporting.
• Add freshness checks to detect stale categories before deploy.
• Add integration tests around article parsing edge cases.