Web sources change. A resilient data pipeline assumes that selectors, response formats and access patterns will eventually fail. The system needs quality checks, alerts, retries and a clear way to compare new output with historical expectations.
We separate collection, normalization, validation and delivery so each stage can be inspected and improved independently.