Websites Using LINE Login

LINE Login is an API that allows you to implement a login function into your services, regardless of whether they are web apps or native apps.

Categories: RUM

Official website: https://developers.line.biz/en/services/line-login/

16 websites using LINE Login

• erotogenic.com.tw
• woofgaming.com
• xn--24-6qizc4j8c.live
• ruengrawin.com
• seoulmate.com.tw
• yimresearch.net
• nusaresearch.net
• aimupstore.com
• as5588.com
• ape-insight.jp
• fankura.com
• kd-doll.com
• cystore.com
• dr-noutore.jp
• vernis.co.jp
• gamboo.jp

LINE Login is ranked #37 of 113 in RUM by website adoption.

RUM alternatives ranked by popularity

1. Google Sign-in — 3,333 websites
2. Akamai mPulse — 1,806 websites
3. Microsoft Application Insights — 826 websites
4. Dynatrace RUM — 711 websites
5. AJAX Login and Registration modal popup + inline form — 0 websites
6. Add Logo to Admin — 0 websites
7. All In One Login — 0 websites
8. Alliance Auth — 0 websites
9. Allow Multiple Accounts — 0 websites
10. Amazon CloudWatch RUM — 0 websites

Technologies commonly used with LINE Login

• jQuery — 75% co-occurrence
• Open Graph — 75% co-occurrence
• PHP — 69% co-occurrence
• Cloudflare — 63% co-occurrence
• Google Analytics 4 — 56% co-occurrence
• Google Analytics — 56% co-occurrence
• Google Font API — 50% co-occurrence
• Bootstrap — 44% co-occurrence

How WhatStack detects LINE Login

WhatStack detects LINE Login 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 LINE Login?

LINE Login is an API that allows you to implement a login function into your services, regardless of whether they are web apps or native apps.

How many websites use LINE Login?

WhatStack has detected LINE Login on 16 websites in our database.

How do you detect LINE Login?

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