🆚 Microdata vs. RDFa

Type

Semantic markup technology
Semantic markup technology

About

Microdata is an HTML specification used to embed structured metadata within web page content by annotating elements with machine-readable attributes.

It uses attributes such as itemscope, itemtype, and itemprop to define entities and their properties directly in markup, supports vocabularies such as Schema.org, and is one of the structured data formats supported by Google alongside JSON-LD and RDFa.

RDFa (Resource Description Framework in Attributes) is an extension to HTML5 that embeds structured metadata within page content by adding attributes based on the RDF data model.

It uses HTML attributes such as vocab, typeof, and property to describe entities like people, places, events, recipes, and reviews, supports multiple vocabularies such as Schema.org, Dublin Core, and GoodRelations, and is one of the structured data formats supported by Google alongside JSON-LD and Microdata.

Headquarters

Cambridge, Massachusetts, United States
Cambridge, Massachusetts, United States

Website

Categories

Semantic Markup › Rank #7
Semantic Markup › Rank #10

Popularity

Determined by the number of sites using each technology.

Microdata semantic markup technology is 20 times more popular than RDFa.
Total websites

Market share

Semantic Markup

Popularity by country

Determined by the number of sites detected from each country.

Microdata is more popular in the United States, Germany, and the United Kingdom, while RDFa is more popular in Botswana.
United States
Germany
United Kingdom
France
Russia
Spain
Japan
Italy
Netherlands
Australia

Awards

Popularity by domain category

Determined by the number of sites in each category.

Microdata is more popular than RDFa in all market segments.
Business
Marketing/Merchandising
Online Shopping
Blogs/Wiki
Education/Reference
Internet Services
Travel
Entertainment
Health
General News

Top sites

Top-ranked sites that use these technologies.

Name
Rank
p**nhub.com
#26
View more ➝
Name
Rank
#183
#215
View more ➝

See also

🗃️ About This Data