Websites Using Snazzy Maps

Apply styles to your Google Maps with the official Snazzy Maps WordPress plugin.

Categories: Widgets, WordPress plugin

Official website: https://snazzymaps.com/plugins

32 websites using Snazzy Maps

• applog.com.ar
• workthatreconnects.org
• haddonhall.co.uk
• modepark.de
• inera.it
• elios-it.lu
• adamsstreetpartners.com
• rkk.com
• salestaxinstitute.com
• axiswebhosting.com
• masholdings.com
• emotrans-global.com
• levonet.sk
• gaslamp.org
• totalpc.com
• automatedinsights.com
• aciglobal.com
• vestitel.bg
• metrostlouis.org
• tilta.com
• cyanide-studio.com
• burson.com.au
• shorehealingllc.com
• axera.it
• epenergy.com
• kdconcept.dz
• gleamnet.in
• broadpeak.io
• interplanet.it
• igamemedia.com
• statsperform.com
• performgroup.com

Snazzy Maps is ranked #287 of 376 in Widgets by website adoption.

Widgets alternatives ranked by popularity

1. Slider Revolution — 5,642 websites
2. Max Mega Menu — 5,313 websites
3. FitVids.JS — 4,747 websites
4. Twitter — 1,911 websites
5. Instagram Feed for WordPress — 1,910 websites
6. Embedly — 1,740 websites
7. FlexSlider — 818 websites
8. Elfsight — 792 websites
9. Conditional Fields for Contact Form 7 — 671 websites
10. Sassy Social Share — 662 websites

Technologies commonly used with Snazzy Maps

• WordPress — 100% co-occurrence
• PHP — 100% co-occurrence
• MySQL — 100% co-occurrence
• jQuery — 94% co-occurrence
• Font Awesome — 91% co-occurrence
• Open Graph — 75% co-occurrence
• jQuery Migrate — 72% co-occurrence
• Schema.org — 72% co-occurrence

How WhatStack detects Snazzy Maps

WhatStack detects Snazzy Maps by analyzing HTTP headers, HTML source code, JavaScript globals, meta tags, cookies, DNS records, and ads.txt entries using signature-based pattern matching across 10 different analyzers.

Frequently Asked Questions

What is Snazzy Maps?

Apply styles to your Google Maps with the official Snazzy Maps WordPress plugin.

How many websites use Snazzy Maps?

WhatStack has detected Snazzy Maps on 32 websites in our database.

How do you detect Snazzy Maps?

We analyze HTTP headers, HTML source, JavaScript globals, meta tags, cookies, DNS records, and ads.txt entries to identify Snazzy Maps with high accuracy using signature-based pattern matching.