goldsmith/Wikipedia

A Pythonic wrapper for the Wikipedia API

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goldsmith/Wikipedia has 3k+ stars and 500+ forks on GitHub, is written in Python, and was last pushed on Sep 28, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 60 minutes ago
Added to GitGenius on September 29th, 2026
Created on August 20th, 2013
Open Issues & Pull Requests: 209 (+0)
GitHub issues: Enabled
Number of forks: 527
Total Stargazers: 3,006 (+0)
Total Subscribers: 77 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 194.6 days
Mean response time: 503.1 days
90th percentile: 909.1 days
Tracked items: 11

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Issue Activity (beta)

Open issues: 17
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 1,452 days
Stale 30+ days: 16
Stale 90+ days: 15

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

Wikipedia is a Python library that makes it easy to access and parse data from Wikipedia.

The library wraps the MediaWiki API to eliminate the need to work directly with HTTP requests and API responses. It lets developers search Wikipedia, retrieve article summaries, and extract structured data like links and images from pages. The wrapper abstracts away API complexity so that common tasks like fetching a page summary or searching for articles require only a few lines of Python code.

The tool is designed for straightforward use cases where you need quick access to Wikipedia content. It suits small scripts, prototypes, and applications that need basic Wikipedia integration without heavy infrastructure. The README explicitly notes that the library prioritizes ease of use and simplicity over advanced functionality, and recommends that anyone planning serious scraping or automated requests should use more capable alternatives like Pywikipediabot, which offers a larger API, rate limiting, and other features for responsible MediaWiki infrastructure usage.

The project maintains a stable, minimal codebase with straightforward test coverage. Development activity is sparse, with infrequent commits and minimal recent changes to the core functionality.