Extracts structured metadata, AI-generated summaries, and key insights from web articles or raw text content.
The Article Metadata Extractor is a powerful utility designed to streamline content analysis and data collection within the Claude Code environment. By processing URLs or raw text, it automatically identifies core attributes such as authors, publication dates, and sources, while leveraging Claude AI to generate concise summaries and key point lists. It intelligently classifies content into technical or news categories and applies relevant tags, making it an ideal tool for developers building news aggregators, research databases, or automated documentation pipelines. With built-in caching and support for both JSON and Markdown outputs, it ensures efficient and flexible data management.
Key Features
010 GitHub stars
02Automatic classification of technical vs. news content
03AI-generated summaries and multi-point key insight identification
04Automated extraction of title, author, source, and publication dates
05Local caching of results for 7 days to reduce API usage
06Intelligent keyword tagging for content categorization
Use Cases
01Automating the collection of sources for newsletters or research papers
02Building programmatic news feeds with AI-enriched metadata
03Converting web-based articles into structured markdown for documentation
