Websites using mobile-detect.js 1.3.6

Mobile-detect.js is a compact JavaScript library designed to detect devices by comparing patterns against a given User-Agent string.

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7 live mobile-detect.js 1.3.6 sites, ready to export.

That's how many mobile-detect.js 1.3.6 websites are in VersionDB right now, each with its full tech stack, contact details, and social profiles.

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Every mobile-detect.js 1.3.6 website we detected in Hong Kong.

Only sites where a personal, company-hosted email was found.

Sites with at least one personnel LinkedIn profile.

Start with the highest-traffic end of the dataset.

Limit results to mobile-detect.js 1.3.6 websites on .com domains.

Only sites where an organisation phone number was found.

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Live Websites

Websites Using mobile-detect.js 1.3.6

A sample of live mobile-detect.js 1.3.6 sites from our latest crawl, with the other technologies each one runs.

How many websites use mobile-detect.js 1.3.6?

We found mobile-detect.js 1.3.6 on 7 websites in our September 2026 crawl, across 1 country.

Which countries use mobile-detect.js 1.3.6 the most?

By number of websites, the top country is Hong Kong (57%, 4 sites). 100% of the sites are in Chinese, and .hk is the most used domain ending, on 57% of them.

Where are mobile-detect.js 1.3.6 websites hosted?

The network carrying the most mobile-detect.js 1.3.6 sites is Cloudflare, Inc. (7 sites).

What technologies are used with mobile-detect.js 1.3.6?

Across the 7 mobile-detect.js 1.3.6 sites we track, the technologies most often found alongside it are Cloudflare (100%, 7 sites), Google Tag Manager (100%, 7 sites), HSTS (100%, 7 sites), Magnific Popup (100%, 7 sites) and MySQL (100%, 7 sites).

Deep Dive

Breakdown of mobile-detect.js 1.3.6 websites

What else they run, plus their language, hosting network, domain extension and country.

FAQ

Answers drawn from our latest crawl of mobile-detect.js 1.3.6 websites. Anything else, email us and we will look it up.

Through our own crawl, which checks each site's HTML, scripts and headers rather than relying on self-reported data.