Article Scraper
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.
Características Principales
- Extracts article title, text, author, and publication date
- Provides robust error handling and URL validation
- Outputs structured data
- Built with FastMCP for easy integration
- 0 GitHub stars
Casos de Uso
- Automating content aggregation for news feeds or research
- Providing text input for natural language processing (NLP) models
- Building datasets for text analysis or machine learning applications
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