🆚 GoodRelations vs. RDFa
Type
About
GoodRelations is a standardized vocabulary for product, price, store, and company data that can be embedded into web pages and processed by search engines and other data-consuming services.
It defines an ontology for describing businesses, products, offers, pricing, payment methods, and store locations, is syntax-neutral with support for formats such as 
RDFa, Microdata, and 
JSON-LD, and has been integrated into Schema.org since 2012.
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
- ⭐ 8th most popular in Germany in the Semantic Markup category.
- ⭐ 8th most popular in Poland in the Semantic Markup category.
- ⭐ 9th most popular in the United Kingdom in the Semantic Markup category.
- ⭐ 10th most popular in the United States 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.