Automated Data Scraping & Integration System

Multiple departments across the client's business depended on master data pulled from external websites and portals, but gathering it manually meant someone had to remember to check for updates, copy the information by hand, and re-enter it into internal systems. That process was slow, easy to forget, and prone to transcription mistakes, so different teams often ended up working from records that were outdated or simply didn't match. Left unresolved, this inconsistency undermined confidence in the data itself and wasted hours of staff time on a task that added no real business value.

Sitetisfy built an automated scraping system using JavaScript Puppeteer paired with a Laravel backend that runs scheduled jobs to visit the relevant sources, extract both structured and unstructured data, and validate it before anything touches the database. Instead of a person manually rechecking external sites, the system does it on a fixed schedule with no intervention required, and only stores data that passes validation. The centralized database is then exposed through secure API endpoints, giving every department a single, reliable source of truth instead of their own manually maintained copies.