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grangier/python-goose

0
View on GitHub↗
4,088 stars·780 forks·HTML·Apache-2.0·9 views

Python Goose

python-goose is a Python library for web scraping and content extraction. It functions as an HTML boilerplate remover and article parser designed to isolate primary text and metadata from web pages by stripping away navigation, layout noise, and non-essential elements.

The tool features multilingual processing capabilities, utilizing language-specific stop-word analyzers to identify and extract primary content across different languages. It also identifies and collects embedded media, including source URLs and embed codes for lead images and videos associated with an article.

The library covers broad functional domains including automated web scraping, structured content extraction, and targeted article media collection.

Features

  • Web Article Extraction - Isolates the main body text, title, and meta descriptions from web pages by removing boilerplate clutter.
  • Multilingual Text Processing - Handles content in various languages using specific stop-word analyzers and language tags.
  • Stop-Word Text Scoring - Ranks document segments by comparing word frequency against language-specific lists to find the main content.
  • Content Extractors - Extracts the main article text and metadata from web pages while removing boilerplate.
  • Web Content Noise Reduction - Isolates primary web content by stripping away layout noise and non-essential page elements.
  • Web Article Metadata Extractors - Identifies primary text and metadata across different languages using specialized stop-word analyzers.
  • Web Content Extraction Utilities - Extracts the main text and metadata from web pages while removing navigation and layout clutter.
  • Web Media Extractors - Locates primary images and embedded videos by searching for specific HTML tags and metadata attributes.
  • Automated Web Scraping - Collects structured data and article content from websites using Python to build datasets.
  • Web Media Extractions - Collects source URLs and embed codes for images and videos hosted within web pages.
  • HTML Boilerplate Removal - Identifies and strips navigation and sidebars by analyzing tag density and common class name patterns.
  • Web Scraping Libraries - Provides a programmatic Python interface for collecting data and embedded media from websites.
  • Linguistic Token Analyzers - Uses predefined language tags and analyzers to process and clean text across different multilingual sources.
  • Article Media Asset Extractors - Identifies and captures the primary images and embedded videos associated with specific web articles.
  • Lead Media Detection - The tool locates the primary image and embedded videos associated with an article to capture source URLs and embed codes.
  • DOM Tree Traversers - Implements algorithms to walk through the HTML DOM to isolate the primary article container from layout elements.
  • Structured Data Mappings - Maps standard HTML meta tags to structured data formats for article titles and descriptions.
  • Content Extraction - HTML article content extractor.

Star history

Star history chart for grangier/python-gooseStar history chart for grangier/python-goose

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Frequently asked questions

What does grangier/python-goose do?

python-goose is a Python library for web scraping and content extraction. It functions as an HTML boilerplate remover and article parser designed to isolate primary text and metadata from web pages by stripping away navigation, layout noise, and non-essential elements.

What are the main features of grangier/python-goose?

The main features of grangier/python-goose are: Web Article Extraction, Multilingual Text Processing, Stop-Word Text Scoring, Content Extractors, Web Content Noise Reduction, Web Article Metadata Extractors, Web Content Extraction Utilities, Web Media Extractors.

What are some open-source alternatives to grangier/python-goose?

Open-source alternatives to grangier/python-goose include: generalnewsextractor/generalnewsextractor — GeneralNewsExtractor is a specialized system for identifying and extracting structured news data through configurable… wechatsync/wechatsync — Wechatsync is a multi-platform content synchronizer and cross-platform publishing tool. It extracts articles from… kepano/defuddle — Defuddle is a command line web parser and content extractor designed to isolate the primary article body from web… mozilla/readability — Readability is a JavaScript library designed for web content extraction. It functions as a DOM parsing utility and… esbatmop/mnbvc — MNBVC is a dataset pipeline and toolkit designed for the collection, cleaning, and normalization of massive text and… postlight/parser — Postlight Parser is a command-line tool that extracts the main article content from any web page URL, returning clean…