goose3
Html Content / Article Extractor, web scrapping for Python3
Decision gist · record as of 2026-08-14
Yes. Goose3 is actively maintained, has no known vulnerabilities, low install friction, and solves a concrete problem—reliable article extraction from web pages. The Apache 2.0 license is permissive. Install it if you need to extract article content, metadata, or embedded media from news sites or similar pages; skip it if you only need simple HTML parsing or if your target pages are heavily JavaScript-rendered.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low friction: pure Python wheel with 8 common runtime dependencies (requests, Pillow, lxml, beautifulsoup4, etc.).
- Actively maintained—last commit 2026-07-23, 912 repository stars, release 22 days old.
- Supports Python 3.9 through 3.14.
License · maintenance · safety
Apache (permissive) — Apache 2.0 permissive license. You may use, modify, and distribute goose3 freely in commercial and private projects, provided you include the license notice.
last release 2026-07-23 (22 days) · last repo commit 2026-07-23 · 912 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 83,121 downloads/mo, #14,098 on PyPI
Alternatives
Verify before relying
pip install goose3
from goose3 import Goose
g = Goose()
article = g.extract(url='http://example.com/article')
print(article.title)
print(article.cleaned_text)
print(article.top_image.src)- Whether language detection (langdetect) works reliably for all supported languages without additional configuration
- Performance characteristics when processing large batches of articles or very long documents
- Robustness to modern JavaScript-heavy or dynamically-rendered article pages
What it is and what it does
Goose3 is a Python library that extracts the main content, metadata, and media from news articles and article-type web pages. It parses HTML using lxml or BeautifulSoup, identifies the primary article text, and recovers associated metadata (title, description, author), the main image, and embedded YouTube/Vimeo videos. The library is language-aware—it can detect the article's language from meta tags or accept a forced language setting, and includes specialized stopword analyzers for Chinese, Arabic, and Korean to improve text extraction quality in those languages.
The package is designed for developers building news aggregators, content analysis pipelines, or web scraping workflows where reliable extraction of article body and metadata is needed. It handles configuration flexibly (custom user agents, parser selection, network error tolerance, image fetching) and works across Windows, macOS, and POSIX systems. With 8 runtime dependencies covering HTTP requests, image handling, HTML parsing, and text analysis, it trades minimal setup friction for broad extraction capability.
Use it for
- Build a news aggregator that fetches and extracts article content from multiple news sites automatically
- Extract article text and metadata for natural language processing or machine learning pipelines
- Scrape multilingual news content (Spanish, French, Chinese, Arabic) while preserving language-specific text quality
- Recover the main image and embedded videos from article pages for content indexing or display
- Batch-process archived web pages to recover clean article text and structured metadata
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Goose3 is actively maintained, has no known vulnerabilities, low install friction, and solves a concrete problem—reliable article extraction from web pages. The Apache 2.0 license is permissive. Install it if you need to extract article content, metadata, or embedded media from news sites or similar pages; skip it if you only need simple HTML parsing or if your target pages are heavily JavaScript-rendered.
Install
goose3 on PyPI
Before you install
Low friction: pure Python wheel with 8 common runtime dependencies (requests, Pillow, lxml, beautifulsoup4, etc.). Actively maintained—last commit 2026-07-23, 912 repository stars, release 22 days old. Supports Python 3.9 through 3.14.
License in practice
Apache 2.0 permissive license. You may use, modify, and distribute goose3 freely in commercial and private projects, provided you include the license notice.
Quickstart
pip install goose3
from goose3 import Goose
g = Goose()
article = g.extract(url='http://example.com/article')
print(article.title)
print(article.cleaned_text)
print(article.top_image.src)Verify before relying
- Whether language detection (langdetect) works reliably for all supported languages without additional configuration
- Performance characteristics when processing large batches of articles or very long documents
- Robustness to modern JavaScript-heavy or dynamically-rendered article pages
Package facts
| License | Apache permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 8 packagesrequestsPillowlxmlcssselectbeautifulsoup4python-dateutillangdetectpyahocorasick |
| Maintenance | Actively maintained 22 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 83,121 / month, #14,098 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaEnvironment :: Other EnvironmentIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseOperating System :: MacOS :: MacOS XOperating System :: Microsoft :: WindowsOperating System :: POSIXProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.9Topic :: InternetTopic :: Software Development :: Libraries :: Python ModulesTopic :: Utilities |
Evidence: goose3-3.1.22-py3-none-any.whl
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