🆚 GoodRelations vs. Microdata
- 📈 Microdata is much more popular than GoodRelations.
- 🌍 Microdata is more popular in all countries.
- ⭐ GoodRelations is particularly popular in Germany.
GoodRelationsType
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.
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.
Headquarters
html.spec.whatwg.orgCategories
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.
- 🥉 Third most popular in Russia in the Semantic Markup category.
- 🥉 Third most popular in Korea in the Semantic Markup category.
- 🥉 Third most popular in Burkina Faso in the Semantic Markup category.
- ⭐ 4th most popular in the United States in the Semantic Markup category.
- ⭐ 4th most popular in Germany 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 4,009,087 websites.
- Statistics were last calculated on .
- For more details, see our methodology and disclaimer.