Newspaper is a Python library designed for scraping, parsing, and analyzing web-based information. It functions as a framework for automated news aggregation and large-scale web content extraction, providing tools to download, clean, and structure text, metadata, and media from diverse online sources.
The project distinguishes itself through a pipeline-oriented architecture that combines heuristic-based content extraction with natural language processing. It automatically identifies and isolates article bodies from web page boilerplate while simultaneously performing language detection, keyword extraction, and text summarization. The library supports multilingual content processing by allowing users to provide custom stopword lists and tokenization rules for diverse international languages.
To optimize performance during large-scale operations, the framework utilizes thread-pool-based concurrency for simultaneous data retrieval and persistent key-value caching to avoid redundant network requests. It also preserves the original semantic HTML structure of extracted content, ensuring that data remains available for downstream processing or display.
The toolkit includes command-line utilities for executing concurrent retrieval tasks and fetching trending search terms. Users can customize extraction parameters, such as timeouts and content filtering, through global or instance-specific configuration settings.
