Description
Audience: data engineers, growth ops, compliance‑sensitive orgs.
What you get: selector pattern vault (CSS/XPath) with anti‑fragile fallbacks; resilience patterns (backoff, retries, pooling, cache‑first); data hygiene (canonicalization, normalization, checksum dedup); audit & compliance checklists (robots/ToS, provenance logs); tooling playbooks for Playwright, Puppeteer, Requests/HTTPX, Apify, Scrapy.
Architecture: modular YAML configs, structured logging with correlation IDs, middlewares for retries and normalization.
KPIs: extract success rate, ban rate, schema drift, duplicate collapse %. Guardrails: consent/fair‑use prompts, PII minimization, rate ceilings.

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