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Find the shortest path between Wikipedia articles Discover the shortest path between any two Wikipedia articles using wikipedia's "blue links" (hyperlinks). WikiPath transforms Wikipedia browsing into an intelligent navigation experience. Find the fastest route from one article to another by following Wikipedia's built-in hyperlinks—making research more efficient and exploration more intuitive. ➤ How it works Every Wikipedia article contains blue hyperlinks to related articles. WikiPath analyzes these connections across thousands of pages to map the shortest route between any two topics. Simply set your start and end points, and WikiPath will find which blue links to click on each page to reach your destination as quickly as possible. Once a path is found, WikiPath highlights the exact blue link you should click next, displays a progress tracker showing your journey, and guides you step-by-step until you arrive at your target article. ➤ Core features Instant Pathfinding: Discover connections in under 20 seconds* Link Highlighting: The next blue link to click is highlighted in black on each Wikipedia page Progress Tracker: On-page display shows where you are in your journey Smart Memory: Automatically saves previous searches for instant recall Search History: View and reload all your past searches in one organized view Rich Help Center: Built-in guides covering features, troubleshooting, estimated search times, FAQs, and more! ➤ Perfect for Students conducting research across interconnected topics "Wikipedia game" lovers Anyone curious about how different concepts connect ➤ Privacy first WikiPath operates entirely in your browser. no tracking, no selling your information. Your searches stay private and secure. ➤ Getting started Navigate to any Wikipedia article Click "Set as Start" Navigate to your destination article Click "Set as End" Click "Find Shortest Path" Follow the highlighted links on each page until you reach your destination * when connection occurs in 3 or less articles
Oct 7, 2025
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.