Hands-on tutorials, project breakdowns, and production code examples for building scrapers, data pipelines, and automation systems.
by Mostafa — Full Portfolio →
Structured paths to build real skills
Design and build production data pipelines — from ingestion and transformation to storage, monitoring, and scaling.
Stay on the right side of the law when scraping — robots.txt, rate limiting, terms of service, and data privacy.
Build reliable scraping systems that detect failures automatically — data validation, structural change detection, failure classification, and production monitoring with ScraperGuard.
Take your scrapers from prototype to production — distributed architecture, proxy management, error handling, and monitoring.
Learn the core concepts, tools, and techniques for extracting data from websites — from HTTP basics to handling JavaScript-rendered content.
Based on your reading progress
New to web scraping? Begin with the fundamentals track and build your skills step by step.
Begin LearningThe 8 major design decisions behind ScraperGuard — library vs. service, observer vs. interceptor, rules vs. ML, dual fingerprinting, fault tolerance, and what I'd do differently.
Five architecture patterns for reliable scraping — observer vs. interceptor, snapshot baselines, failure classification, composite health scoring, and alerting.
Add data quality monitoring to Playwright scrapers — async context manager, one-shot capture, multi-page workflows, and hybrid Scrapy+Playwright setups.
Add production monitoring to any Scrapy spider with 2 lines of config — middleware setup, custom signals, per-spider schemas, and troubleshooting.
Automated system collecting and analyzing property listings across multiple platforms, processing 50K+ records daily into structured datasets for market trend analysis
50,000+ records/day
Production-grade observability and reliability layer for web scraping pipelines — detects when scrapers silently break and explains why.
Step-by-step walkthroughs from beginner to advanced
Real-world builds with architecture decisions explained
Honest breakdowns of scraping tools and libraries
Production-ready code you can use in your projects
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