Extracts article content, including title, text, author, and date, from web URLs.
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Article Scraper provides a robust solution for extracting structured content from news articles and web pages. Leveraging the powerful newspaper3k library, it can efficiently fetch titles, full text, author information, and publication dates from any given URL. Designed as a Model Context Protocol (MCP) server, it offers reliable error handling and URL validation, making it an ideal component for applications requiring automated content acquisition.
주요 기능
01Extracts article title, text, author, and publication date
02Provides robust error handling and URL validation
03Outputs structured data
04Built with FastMCP for easy integration
050 GitHub stars
사용 사례
01Automating content aggregation for news feeds or research
02Providing text input for natural language processing (NLP) models
03Building datasets for text analysis or machine learning applications
