# codelucas/newspaper

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

Repository: https://github.com/codelucas/newspaper
Canonical: https://ross.abutalabs.com/products/newspaper
Homepage: https://goo.gl/VX41yK
Language: Python
License: MIT
License Family: permissive
Topics: python, news, crawler, crawling, scraper, news-aggregator
Last push: 2026-08-09T07:55:32+00:00

## Health v2 (maintenance only)
Score: 66/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 96, release rhythm 8, longevity 100
- inputs: {"age_days": 4664, "days_push": 24, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 15144, forks 2119 (observed 2026-08-28T04:11:09.279844+00:00)

## What it is
newspaper3k is a Python 3 library for discovering, downloading, and parsing news articles from websites. It extracts full text, authors, publish dates, images, keywords, and summaries, and can crawl entire news sites for article URLs.

## Use cases
- extract full text from news article urls
- scrape article metadata like authors and publish date
- crawl a news site to discover article links
- summarize articles and extract keywords with nlp
- build a news aggregator in python
- parse html into clean readable article text

## When to choose
- you need turnkey news article extraction with metadata in Python
- you want to crawl news sites for article discovery
- you need keyword extraction and summarization built in

## When to avoid
- you need a general-purpose web scraper for arbitrary sites or JS-rendered pages
- you need actively maintained software with recent fixes
- you need structured data extraction beyond news articles

## Facets
- artifact type: library
- maturity: maintenance
- function: web-scraping, parser, nlp
- domain: web-development, crawlers, data-science
- platform: python, cross-platform
- tags: article-extraction, news-scraping, metadata-extraction, newspaper3k, html-parsing, natural-language-processing

## Member repositories
- codelucas/newspaper (main) score 66

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:09.279844+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:06:35.959376+00:00, confidence not recorded.
  - readme: https://github.com/codelucas/newspaper (fetched 2026-08-28T04:11:09.279844+00:00, sha 8c6447b0094d)
  - homepage: https://goo.gl/VX41yK (fetched 2026-08-29T08:04:36.809551+00:00, sha cf6989ef27ae)
  - registry_pypi: https://pypi.org/pypi/newspaper/json (fetched 2026-08-29T08:04:36.818867+00:00, sha 37fe9b56f324)
- Data as of 2026-08-30T08:39:29.467469+00:00.