MenuPriceToday — 30,000 Server-Rendered Fast-Food Price Pages Across 22 Countries
A live fast-food price tracker across 22 countries — one data-engineering pipeline turned into 30,000+ server-rendered, schema-rich programmatic-SEO pages on a single Laravel + Next.js codebase, tuned for Core Web Vitals.
Project overview
MenuPriceToday tracks fast-food menu prices across 22 markets and turns one scraping-and-scheduler pipeline into 30,000+ country-first pages — every brand, city and branch, server-rendered (SSR) with real prices, hreflang and full Product/Restaurant schema. I built per-brand and delivery-marketplace collectors behind a single source registry, wired price-history with change detection, and scheduled the whole refresh on Laravel's scheduler and a system cron — no third-party automation tool. On top of that I engineered the frontend for Core Web Vitals, cutting homepage LCP from 4.6s to 3.0s and mobile Total Blocking Time from 660ms to 30ms with CLS held at 0. It's the same web-scraping + Claude + programmatic-SEO architecture I build for clients, run with the operating discipline behind FlowMaticX, my AI SaaS that real businesses use.
Results
The challenge
Fast-food prices change constantly and differently in every country, and there's no single place to see what a McDonald's, KFC or Burger King item actually costs today across markets. The source data isn't built to be queried at scale, and a manual approach is stale within days. The hard part wasn't scraping one menu — it was turning one scheduled pipeline into tens of thousands of pages (a page per brand, per city, per branch, per country) that are each individually accurate, server-rendered for search engines, correctly localized with hreflang, and still fast on a phone. I built MenuPriceToday to prove I can run a data pipeline and programmatic SEO at real scale without a team copying menus by hand — the same architecture and operating discipline behind FlowMaticX, my AI SaaS that real businesses run on. If you need a data or SEO pipeline built and running unattended at scale, book a free call.
What I built
Key features
“Anyone can build one price page. The hard part was making 30,000 of them — one per brand, city and country — each server-rendered with real prices and correct schema, and keeping them fast on a phone. The collectors run on a plain cron and Laravel's scheduler, nothing fancy, and that boring reliability at scale is the part I'm proudest of.”
The same stack is what I install for clients — live on your site in 14 days.
