Identifying whether a website was built with MediaWiki used to require technical expertise — inspecting source code, tracing network requests in DevTools, and knowing which patterns to look for. Our free scanner automates all of that: it fetches the page, analyzes 3 MediaWiki-specific signals, and returns a verdict with a confidence score.
You might want to detect MediaWiki for competitive research, due diligence before acquiring a site, or simple curiosity. Whatever the reason, this page covers every method — automated and manual.
MediaWiki is the wiki software written in PHP that runs Wikipedia and thousands of other wikis. AIWebsiteDetector reports MediaWiki from its ResourceLoader entry point `load.php` (`modules=` in script URLs), the versioned `MediaWiki 1.x` generator tag and its `mw-body` / `mw-parser-output` markup. A detected MediaWiki site also counts as PHP. Static landing pages that do not run MediaWiki themselves, such as the wikipedia.org portal, show none of these signals.
It is primarily used for content-driven websites, blogs, news sites, documentation, and publishing platforms.
Visit MediaWiki official websiteOur detection engine checks 3 unique MediaWiki fingerprints. Here are the most reliable signals:
MediaWiki loads specific JavaScript runtime files or loads scripts from identifiable URLs. Checking script src attributes reveals the platform.
/load.php[^"']*bmodules=MediaWiki injects proprietary class names, data attributes, or markup patterns into the page HTML that are unique to the platform.
bclass=["'][^"']*bmw-(:body|parser-output|page-title)Some MediaWiki sites include a generator meta tag or other platform-specific meta elements in the document head.
MediaWikis*dCtrl+U (Windows) or Cmd+Option+U (Mac)Ctrl+F) for mediawiki or mediawikiF12 to open DevToolsmediawiki in the search boxWhen you submit a URL, our engine fetches the page from its server — just like a browser would — then analyzes the response across 3 MediaWiki-specific fingerprints:
Script analysis
We scan all loaded JavaScript files for known CDN paths and runtime names
CDN domain matching
We cross-reference every asset request against known platform CDNs
HTML pattern scanning
We search the DOM for platform-specific class names and data attributes
Header inspection
We read HTTP response headers that identify the server or platform
Meta tag extraction
We check generator and other meta tags in the document head
Confidence scoring
We weight each matched signal and normalize to a 0–99% score
Install MediaWiki from https://www.mediawiki.org, set up your content models, and connect a frontend framework like Next.js or Gatsby to display your content.
Other popular CMS platforms include WordPress, Ghost, Contentful, Sanity, and Strapi.
Get started with MediaWikiThe most reliable ways to detect MediaWiki are: (1) open DevTools → Network tab and look for requests to MediaWiki-specific CDN domains, (2) view page source and search for MediaWiki-specific class names or data attributes, (3) use our free scanner — we check 3 detection signals automatically and return a confidence score.
Yes, completely free. Paste any URL into our scanner and we'll analyze it for MediaWiki fingerprints immediately. No account required, no limits on scans.
We check 3 unique MediaWiki fingerprint signals across HTML, JavaScript, CDN domains, meta tags, and HTTP headers. Our confidence score reflects how many signals matched — a score above 70% is a strong indicator. We cap accuracy at 99% to reflect that all fingerprint-based detection is probabilistic.
Yes. Custom domains don't hide the underlying platform. The JavaScript files, CDN requests, HTML attributes, and server headers all remain identifiable regardless of the domain name used. Our scanner fetches the page directly and analyzes its technical composition.
If you want to build something similar, visit https://www.mediawiki.org to learn more or sign up. If you're doing competitive research, our scan result also shows the full technology stack — including hosting platform, domain age, and other detected technologies. You can share the result link with your team.