newspaper vs sumy
Python article extraction and text summarization compared
newspaper and sumy are Python tools for working with article and document content. newspaper focuses on discovering news articles and extracting their text and metadata, while sumy focuses on summarizing plain text and HTML with multiple algorithms.

newspaper: Extract News Articles and Metadata in Python
Newspaper3k is a Python library for crawling news sites and extracting article text, metadata, images, keywords, and summaries. It suits developers building news aggregation, monitoring, or text-processing workflows.

sumy: Summarize Text and HTML in Python
sumy is a Python library and command-line tool for extracting summaries from plain text and HTML pages. It offers multiple summarization algorithms, language tokenization support, and tools to evaluate summaries.
| newspaper | sumy | |
|---|---|---|
| Language | Python | Python |
| License | MIT | Apache-2.0 |
| Stars | 15.2k | 3.7k |
| Forks | 2.1k | 532 |
| Last analyzed | Oct 3, 2026 | Oct 29, 2026 |
Key differences
- newspaper can crawl known publications to find article and category URLs; sumy summarizes text or HTML supplied from a URL, file, or string.
- newspaper extracts article text, titles, authors, dates, and images, and can generate keywords and summaries; sumy centers on extractive summaries and offers several algorithms.
- sumy includes a command-line tool and an evaluation utility for comparing summaries with reference texts; newspaper provides crawling and article-processing workflows.
- newspaper is licensed under MIT; sumy is licensed under Apache-2.0.
- newspaper supports multiple languages, including English, Chinese, German, and Arabic; sumy supports language-specific tokenization resources and documents how to add language support.
- Both target Python 3; sumy specifies Python 3.8 and later, while newspaper notes that its Python 2 branch is deprecated and buggy.
Choose newspaper if you…
- need to discover article URLs across known news publications.
- want to extract article text, metadata, images, keywords, or summaries in a news-processing workflow.
- already have HTML and want to extract full text with its `fulltext` helper.
Choose sumy if you…
- want to summarize plain text or HTML using a choice of algorithms.
- need a command-line summarizer or want to integrate summarization into a Python application.
- plan to evaluate summarization methods against reference summaries.
Compare the numbers side by side, or add more projects
This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.