Haircut Coupons USA
A data-driven coupon discovery platform that automatically discovers, validates, and organizes haircut offers from multiple sources.
PythonData PipelinesAutomationSEONext.js
Designed, built, and operated by Amal Chaitanya · haircutcouponsusa.com
Problem
Coupon content decays fast — codes expire, pages go stale, duplicates pile up. Manual curation does not scale.
Why I built it
An experiment in consumer-product engineering: scheduled pipelines that discover, validate, and publish offers, with SEO as a distribution channel.
How it works
- Scrapers discover offers from configured sources on a schedule.
- Normalizer dedupes by merchant + terms and flags expired entries.
- Validation jobs re-check live pages and retire dead coupons.
- Static pages are regenerated for fast loads and crawlability.
Technology stack
- Python ingestion workers
- Scheduled jobs + retries
- Next.js storefront
Challenges
- Source drift breaking selectors
- Balancing crawl politeness with freshness
What I learned
- Validation is the product — stale data kills trust faster than missing data.