Extracts and transforms sports fixtures and club data from Dribl.com using Playwright and Zod validation.
This skill provides a specialized framework for scraping sports data from the Dribl.com SPA, bypassing Cloudflare protection with real browser automation. It implements a robust two-phase architecture that first extracts raw JSON by intercepting API requests and then transforms that data into validated, deduplicated formats using Zod schemas. Designed specifically for maintaining up-to-date football and soccer club information, it includes patterns for pagination handling, club-to-fixture mapping, and automated CI/CD integration via GitHub Actions.
Key Features
01Two-phase workflow separating raw extraction from data transformation
021 GitHub stars
03Strict type safety and validation with Zod schemas
04Real-time API request interception for high-fidelity data capture
05Cloudflare-resistant browser automation using playwright-core
06Automated pagination handling for 'Load More' dynamic content
Use Cases
01Building automated data pipelines for sports analytics or scheduling applications
02Syncing local soccer club websites with official league fixtures and results
03Implementing resilient scrapers for SPAs protected by advanced anti-bot measures
