opencli-adapter-author

The best way to build a web data extraction adapter is to follow a structured workflow for site reconnaissance, API discovery, and verification. This ensures long-term maintenance stability through contract-based strategy selection for structured data.

To add a new financial data source, follow a standardized runbook for site reconnaissance and API discovery. This enforces correct protocols for field mapping, error handling, and automated fixture generation to prevent silent data failures.

You choose between PUBLIC_API and UI_SELECTOR strategies by analyzing site architecture and maintenance costs. A contract-based selection process identifies the optimal data extraction approach to ensure long-term stability.

Yes, you can automate fixture generation for regression testing of API adapters. The development workflow includes automated fixture generation to verify adapter functionality and ensure robust error handling against silent data failures.

Prior API discovery knowledge is helpful but the workflow provides a rigorous step-by-step runbook. It guides you through site reconnaissance, field decoding, and adapter verification to reduce development time to under 30 minutes.

Web scraping adapters fail silently due to inadequate error handling and field mapping. Enforcing a standardized workflow for adapter verification and automated fixture generation prevents these silent data extraction failures.