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Seek Filter Adapt Publish (SFAP)

Data Crawler for the AI Age

SFAP is a modular, asynchronous framework designed to automate the lifecycle of digital information. Unlike legacy crawlers that merely scrape and save, SFAP is built to ingest raw data, semantically filter noise, transform content using Generative AI, and publish high-quality artifacts to your destinations. The system is built on a "Chain of Responsibility" pattern using Python's asyncio. Data flows through four distinct stages.

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