Websites Using PagSeguro

PagSeguro is a Brazilian digital payments company offering online and in-person payment processing.

Categories: Payment processor

Official website: https://pagseguro.uol.com.br

32 websites using PagSeguro

• joaodecampos.com.br
• rubyrosemaquiagem.com.br
• cantinhodosaber.com.br
• kingmu.co
• litoralmodaintima.com.br
• gestaoclick.com.br
• zas.media
• imasters.com.br
• enotas.com.br
• modrinth.plus
• estoquenow.com.br
• quiverquant.com
• pagseguro.com
• vlebazaar.in
• celcoin.com.br
• carrosp.com.br
• futfanatics.com.br
• mikweb.com.br
• mundivox.com
• greenmangaming.com
• principiaskin.com
• pagseguro.uol
• uol.com
• pagseguro.com.br
• learnworlds.com
• pagbank.com.br
• sav.com
• y.uno
• cloudez.io
• seekingalpha.com
• modrinth.com
• uol.com.br

PagSeguro is ranked #114 of 209 in Payment processor by website adoption.

Payment processor alternatives ranked by popularity

1. Apple Pay — 7,549 websites
2. PayPal — 4,304 websites
3. Venmo — 3,725 websites
4. Google Pay — 3,216 websites
5. Visa — 2,490 websites
6. Mastercard — 2,479 websites
7. American Express — 2,256 websites
8. Stripe — 2,090 websites
9. Shop Pay — 1,720 websites
10. Amazon Pay — 1,585 websites

Technologies commonly used with PagSeguro

• Open Graph — 88% co-occurrence
• HSTS — 72% co-occurrence
• Google Tag Manager — 69% co-occurrence
• Schema.org — 63% co-occurrence
• Cloudflare — 56% co-occurrence
• Google Ad Manager — 56% co-occurrence
• PHP — 53% co-occurrence
• jQuery — 44% co-occurrence

How WhatStack detects PagSeguro

WhatStack detects PagSeguro 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 PagSeguro?

PagSeguro is a Brazilian digital payments company offering online and in-person payment processing.

How many websites use PagSeguro?

WhatStack has detected PagSeguro on 32 websites in our database.

How do you detect PagSeguro?

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