Overview

Goose is an innovative article extractor initially developed in Java and recently transitioned to a Scala project. Designed to enhance the user experience of applications like Flipboard and Pulse, Goose excels at identifying and extracting the main content of news articles, alongside pertinent metadata and images. The project aims to provide users with a seamless way of accessing the core information of web articles without unnecessary clutter.

As an open-source project launched by Gravity.com in 2011, Goose promises continued improvements and community engagement. The tool is built to cater to various online platforms that rely on efficient content extraction, making it a great asset for developers looking to integrate article extraction capabilities into their applications.

Features

Main Article Content Extraction: Goose effectively pinpoints and extracts the primary body of text from an article, ensuring users access the core message without distractions.
Image Extraction: The tool identifies the most suitable image related to the article, enhancing visual appeal and engagement in content presentations.
Flexible Embed Support: Goose can extract embedded media such as YouTube and Vimeo videos, providing a more dynamic user experience with rich content.
Meta Information Gathering: The extractor collects essential metadata, including meta descriptions and meta tags, which are crucial for search engine optimization and content categorization.
Publish Date Retrieval: Stay informed with the automatic extraction of the publish date of articles, giving context regarding the timeliness of the content.
Open Source Development: Goose is open-sourced under the Apache 2.0 license, encouraging community contributions and user feedback to continually enhance its functionality.
Java Compatibility: Despite the transition to Scala, Goose retains operability with Java, making it accessible to a broader range of developers and maintaining support for existing Java projects.

Gravitylabs

Goose