🆚 GoodRelations vs. RDFa

Type

Semantic markup technology
Semantic markup technology

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

Neubiberg, Germany
Cambridge, Massachusetts, United States

Website

Categories

Semantic Markup › Rank #13
Semantic Markup › Rank #10

Popularity

Determined by the number of sites using each technology.

RDFa semantic markup technology is 28 times more popular than GoodRelations.
Total websites

Market share

Semantic Markup

Popularity by country

Determined by the number of sites detected from each country.

RDFa is more popular in the United States, Germany, and France, while GoodRelations is more popular in Honduras.
United States
Germany
France
United Kingdom
Spain
Italy
Russia
Canada
Netherlands
Belgium

Awards

Popularity by domain category

Determined by the number of sites in each category.

RDFa is more popular than GoodRelations in all market segments.
Business
Education/Reference
Marketing/Merchandising
Online Shopping
Health
Non-Profit/Advocacy/NGO
Government/Military
Travel
Blogs/Wiki
Internet Services

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#4,022
#8,486
#10,401
View more ➝
Name
Rank
#183
#215
View more ➝

See also

🗃️ About This Data