PHP 7.4.2 icon

Websites using PHP 7.4.2

PHP is a general-purpose scripting language used for web development.

Lead List Exporter

1.1k live PHP 7.4.2 sites, ready to export.

That's how many PHP 7.4.2 websites are in VersionDB right now, each with its full tech stack, contact details, and social profiles.

Pick a ready-made template, or build your own filters in the Lead List Exporter and pay only for the rows you export.

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Just need a few domains? Export up to 10 free from a subset of our crawl.

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Every PHP 7.4.2 website we detected in Spain.

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

Sites with at least one business LinkedIn profile.

Start with the highest-traffic end of the dataset.

Limit results to PHP 7.4.2 websites on .com domains.

Create your own

How many websites use PHP 7.4.2?

We found PHP 7.4.2 on 1,130 websites in our September 2026 crawl, across 59 countries.

Which countries use PHP 7.4.2 the most?

By number of websites, the top countries are Spain (26%, 297 sites), France (10%, 112 sites), United States (7%, 80 sites), Russia (5%, 54 sites) and Japan (3%, 31 sites). Together they account for 51% of the 1,130 PHP 7.4.2 sites we track. 20% of the sites are in Spanish, and .com is the most used domain ending, on 50% of them.

Where are PHP 7.4.2 websites hosted?

The networks carrying the most PHP 7.4.2 sites are DinaHosting S.L. (287 sites), Cloudflare, Inc. (223 sites) and Enix SAS (53 sites).

What technologies are used with PHP 7.4.2?

Across the 1,130 PHP 7.4.2 sites we track, the technologies most often found alongside it are jQuery (87%, 979 sites), MySQL (52%, 588 sites), WordPress (51%, 574 sites), jQuery Migrate (43%, 489 sites) and Bootstrap (41%, 461 sites).

Deep Dive

Breakdown of PHP 7.4.2 websites

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

FAQ

Answers drawn from our latest crawl of PHP 7.4.2 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.