Websites Using Brazilian Market on WooCommerce

Adds Brazilian checkout fields in WooCommerce

Categories: Ecommerce, Payment processor, WordPress plugin

Official website: https://github.com/claudiosanches/woocommerce-extra-checkout-fields-for-brazil

4 websites using Brazilian Market on WooCommerce

• fkpartners.com
• allmadloja.com.br
• caterpillarcatoficial.com.br
• babymee.com.br

Brazilian Market on WooCommerce is ranked #139 of 1234 in Ecommerce by website adoption.

Ecommerce alternatives ranked by popularity

1. Cart Functionality — 14,483 websites
2. WooCommerce — 10,910 websites
3. Shopify — 9,830 websites
4. Shopify Plus — 6,202 websites
5. Squarespace Commerce — 4,014 websites
6. PrestaShop — 2,820 websites
7. Magento — 2,756 websites
8. Adobe Commerce — 2,642 websites
9. Pattern by Etsy — 2,294 websites
10. VTEX — 2,287 websites

Technologies commonly used with Brazilian Market on WooCommerce

• MySQL — 100% co-occurrence
• WooCommerce — 100% co-occurrence
• jQuery — 100% co-occurrence
• Schema.org — 100% co-occurrence
• WordPress — 100% co-occurrence
• PHP — 100% co-occurrence
• Font Awesome — 75% co-occurrence
• Underscore.js — 75% co-occurrence

Brazilian Market on WooCommerce is an open source project with 96 stars and 59 forks on GitHub. Written in PHP.

How WhatStack detects Brazilian Market on WooCommerce

WhatStack detects Brazilian Market on WooCommerce 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 Brazilian Market on WooCommerce?

Adds Brazilian checkout fields in WooCommerce

How many websites use Brazilian Market on WooCommerce?

WhatStack has detected Brazilian Market on WooCommerce on 4 websites in our database.

How do you detect Brazilian Market on WooCommerce?

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