7 resources covering ScraperGuard
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.
Build a complete data validation layer — from Pydantic schemas and batch statistics to statistical drift detection that catches subtle degradation over time.
Install ScraperGuard, define your first data schema, run a health check, and understand the report — step by step.
Five architecture patterns for reliable scraping — observer vs. interceptor, snapshot baselines, failure classification, composite health scoring, and alerting.
The complete algorithm for structural change detection — HTML normalization, dual fingerprinting, recursive tree comparison, and CSS selector tracking.
The 7 silent failure modes that break production scrapers without triggering errors — and the monitoring framework that catches them.