Scraper Reliability & Observability
Build reliable scraping systems that detect failures automatically — data validation, structural change detection, failure classification, and production monitoring with ScraperGuard.
Track Overview
Track Summary
Why Web Scrapers Fail Silently: 7 Failure Modes Every Data Engineer Should Know
The 7 silent failure modes that break production scrapers without triggering errors — and the monitoring framework that catches them.
Getting Started with ScraperGuard: Your First Scraper Health Check in 5 Minutes
Install ScraperGuard, define your first data schema, run a health check, and understand the report — step by step.
Building Schema Validation for Scraping Pipelines: From Type Checks to Drift Detection
Build a complete data validation layer — from Pydantic schemas and batch statistics to statistical drift detection that catches subtle degradation over time.
DOM Diffing Deep Dive: How to Detect Structural Changes in Web Pages
The complete algorithm for structural change detection — HTML normalization, dual fingerprinting, recursive tree comparison, and CSS selector tracking.
Integrating ScraperGuard with Scrapy: Add Scraper Monitoring in 5 Minutes
Add production monitoring to any Scrapy spider with 2 lines of config — middleware setup, custom signals, per-spider schemas, and troubleshooting.
Monitoring Playwright Scrapers with ScraperGuard
Add data quality monitoring to Playwright scrapers — async context manager, one-shot capture, multi-page workflows, and hybrid Scrapy+Playwright setups.
From Scripts to Systems: Designing Production Scraping Infrastructure
Five architecture patterns for reliable scraping — observer vs. interceptor, snapshot baselines, failure classification, composite health scoring, and alerting.
Building ScraperGuard: Architecture Decisions and Tradeoffs
The 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.
Other Tracks
Ethical & Legal Compliance
Stay on the right side of the law when scraping — robots.txt, rate limiting, terms of service, and data privacy.
Web Scraping Fundamentals
Learn the core concepts, tools, and techniques for extracting data from websites — from HTTP basics to handling JavaScript-rendered content.