dioclinic.jp Tech Stack
dioclinic.jp uses 30 technologies across 23 categories, including Nginx, WordPress, Barba.js, Google Ads, Google Font API. The site is classified as Food & Restaurant. WhatStack analyzes HTTP headers, HTML source, JavaScript globals, meta tags, cookies, DNS records, and ads.txt entries to detect technologies with high accuracy.
Website category: Food & Restaurant (45% confidence)
Technologies detected on dioclinic.jp
CMS & Site Builders
- WordPress (100% confidence)
- Gutenberg (100% confidence)
- WordPress Block Editor (100% confidence)
JavaScript & Frameworks
- Barba.js (100% confidence)
- Next.js (100% confidence)
- Slick (100% confidence)
- jQuery (100% confidence)
- React (80% confidence)
Advertising & Marketing
- Google Ads (100% confidence)
- Yoast SEO (100% confidence)
- AdRotate Banner Manager (100% confidence)
- Schema.org (100% confidence)
- Salesforce Marketing Cloud Account Engagement (100% confidence)
Media & Content
- Google Font API (100% confidence)
- YouTube (100% confidence)
Analytics & Tracking
- Google Tag Manager (100% confidence)
- VWO (100% confidence)
Communication & Engagement
- Instagram Widget (100% confidence)
- Twitter Widget (100% confidence)
- Yotpo (80% confidence)
- VWO Engage (30% confidence)
WordPress
- MonsterInsights (100% confidence)
CRM & Business Tools
- Yotpo Loyalty (100% confidence)
Other
- Open Graph (100% confidence)
- Google Workspace (100% confidence)
Development Tools
- PHP (80% confidence)
- Node.js (80% confidence)
- Priority Hints (25% confidence)
dioclinic.jp is identified as a news website with 100% confidence.
Last analyzed: 1970-01-21T13:17:27.700Z
Frequently Asked Questions
- What technologies does dioclinic.jp use?
- dioclinic.jp uses 30 technologies including Nginx, WordPress, Barba.js, Google Ads, Google Font API.
- What type of website is dioclinic.jp?
- dioclinic.jp is classified as a Food & Restaurant website.
- How is this data collected?
- WhatStack analyzes HTTP headers, HTML source, JavaScript globals, meta tags, cookies, DNS records, and ads.txt entries to detect technologies with high accuracy.