🆚 Microformats vs. RDFa
Microformats
RDFaType
About
Microformats (μF) are a set of standardized 
HTML class names and attributes used to embed descriptive metadata within existing page content for entities such as people, events, reviews, and blog posts.
The original Microformats v1 specification defined formats such as hCard for people and organizations, hCalendar for events, hReview for reviews, hRecipe for recipes, and hProduct for commerce data, using conventional HTML class attributes.
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
Categories
Popularity
Determined by the number of sites using each technology.
Market share
Popularity by country
Determined by the number of sites detected from each country.
Awards
- ⭐ 5th most popular in the United States in the Semantic Markup category.
- ⭐ 5th most popular in Germany in the Semantic Markup category.
- ⭐ 5th most popular in Japan in the Semantic Markup category.
- ⭐ 5th most popular in the United Kingdom in the Semantic Markup category.
- ⭐ 5th most popular in Spain in the Semantic Markup category.
- ⭐ 5th most popular in Belgium in the Semantic Markup category.
- ⭐ 5th most popular in Hong Kong in the Semantic Markup category.
- ⭐ 5th most popular in Nepal in the Semantic Markup category.
- ⭐ 5th most popular in Saudi Arabia in the Semantic Markup category.
- ⭐ 6th most popular in Russia in the Semantic Markup category.
Popularity by domain category
Determined by the number of sites in each category.
Top sites
Top-ranked sites that use these technologies.
Compare alternatives
Technologies with similar characteristics.
🗃️ About This Data
- We evaluate the popularity of technologies based on the number of websites where we detect their usage.
- Technologies without a detectable web footprint, and those we do not track, are not reflected in the calculated market share.
- This report is based on the analysis of 4,046,631 websites.
- Statistics were last calculated on .
- For more details, see our methodology and disclaimer.