🆚 Microformats vs. Product Ontology
- 📈 Microformats is much more popular than Product Ontology.
- 🌍 Microformats is more popular in all countries.
- ⭐ Product Ontology is particularly popular in the United States.
Type
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.
The Product Types Ontology is an e-commerce classification vocabulary that provides standardized definitions for product and service types used in structured data markup.
It contains around 300,000 product and service type definitions organized in a hierarchical taxonomy, extends the Schema.org and
GoodRelations vocabularies, and enables merchants and marketplaces to describe product semantics more precisely for search engines, catalogs, and commerce applications.
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.
- ⭐ 8th most popular in the United States in the Semantic Markup category.
- ⭐ 8th most popular in Australia in the Semantic Markup category.
- ⭐ 9th most popular in Canada 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.
See also
🗃️ 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 4,001,723 websites.
- Statistics were last calculated on .
- For more details, see our methodology and disclaimer.


