Newspaper — AI Agent Review & Live Stats

Live GitHub stats, community sentiment, and trend data for Newspaper. TrendingBots tracks star velocity, fork activity, and what developers are saying — updated from real data sources.

GitHub data synced: Mar 23, 2026 • Sentiment updated: Mar 16, 2026

GitHub Statistics

Community Sentiment

Community Buzz: The codelucas/newspaper project has a strong community following, with many users praising its ease of use and effectiveness in aggregating news articles. It's a popular choice for news scraping and aggregation tasks.

Why Newspaper Stands Out

Newspaper3k stands out from other web scraping libraries due to its ability to extract not just text, but also metadata such as authors, publish dates, and images. Its multi-threaded download framework and support for multiple languages make it a powerful tool for large-scale news analysis. By using Newspaper3k, developers can focus on building their application rather than spending time on tedious data extraction tasks.

Built With

Build a news aggregator that extracts articles from multiple sources — Newspaper3k's multi-threaded article download framework enables fast and efficient extraction, Build a research tool that analyzes news trends — Newspaper3k's keyword extraction and summary features help identify key topics, Build a language learning platform that uses news articles — Newspaper3k's support for 10+ languages makes it an ideal choice, Build a media monitoring tool that tracks news coverage — Newspaper3k's ability to extract authors, publish dates, and images is valuable, Build a news recommender system that suggests relevant articles — Newspaper3k's text extraction and summary features can be used to train a recommender model

Getting Started

  1. Install Newspaper3k using pip: `pip install newspaper3k`
  2. Import the library and create an Article object: `from newspaper import Article; url = 'http://example.com'; article = Article(url)`
  3. Download and parse the article: `article.download(); article.parse()`
  4. Configure the language and extract relevant data: `article = Article(url, language='en'); print(article.text)`
  5. Try extracting keywords and summaries to verify it works: `article.nlp(); print(article.keywords)`

About

newspaper3k is a news, full-text, and article metadata extraction in Python 3. Advanced docs:

Official site: https://goo.gl/VX41yK

Category & Tags

Category: research

Tags: crawler, crawling, news, news-aggregator, python, scraper

Market Context

The project is well-suited for developers and researchers who need to aggregate and analyze news data, and is a popular choice in the data science and machine learning communities.