🆚 JSON-LD vs. RDFa
RDFaType
About
JavaScript Object Notation for Linked Data (JSON-LD) is a lightweight linked data format used to embed structured data into web pages in a machine-readable form.
It is based on 
JSON and standardized by the 
W3C, uses context mapping to link data to the Schema.org vocabulary, allows embedding via script tags without affecting page markup, and supports graph-based structures for representing entities and their relationships.
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
- 🥈 Second most popular in France in the Semantic Markup category.
- 🥈 Second most popular in Spain in the Semantic Markup category.
- 🥈 Second most popular in Italy in the Semantic Markup category.
- 🥈 Second most popular in the Netherlands in the Semantic Markup category.
- 🥈 Second most popular in Poland 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.