3 items
Auto-links names to Wikipedia — people, places, and organizations on any webpage Wikilinker automatically adds Wikipedia links to the people, places, organizations, and other notable names mentioned in any webpage. Each name is linked only on its first occurrence, keeping the reading experience clean. How it works: Wikilinker scans article text for proper nouns and acronyms, matches them against a bundled bloom filter (https://en.wikipedia.org/wiki/Bloom_filter) of the top 1,000,000 Wikipedia titles (ranked by pageviews), and adds unobtrusive links directly in the page. Everything happens locally in your browser — no API calls, no external requests, no logging. The extension works on any website. It has been optimised on 19 news sites including BBC News, NPR, CNN, The Guardian, Al Jazeera, and others, and uses fallback selectors to find article content on other sites. Features: - 1,000,000 names in a bloom filter bundled locally (under 2MB) — no network requests - First-occurrence-only linking keeps articles readable - Smart filtering avoids false positives on common words - One-click enable/disable from the toolbar popup - Works on any website, optimised for 19 major news sites Privacy: Wikilinker collects no data. No analytics, no tracking, no accounts. See our full privacy policy at https://github.com/smagdali/wikilinker/blob/main/PRIVACY.md An updated version of the Wikiproxy, originally built in 2004. Source code: https://github.com/smagdali/wikilinker
Apr 14, 2026
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.