🆚 RDFa vs. Twitter Cards
RDFaType
About
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.
Twitter Cards are a metadata format used by 
X, originally Twitter, that enables links in posts to display rich previews with images, videos, and interactive media to increase engagement and traffic.
They are defined via specialized meta tags embedded in web pages, support multiple card types, and enable previews such as articles with images and descriptions, app install prompts, and embedded audio or video players with playback controls.
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 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.
- 🥇 Most popular in Rwanda in the Semantic Markup category.
- 🥈 Second most popular in the United States in the Semantic Markup category.
- 🥈 Second most popular in the United Kingdom in the Semantic Markup category.
- 🥈 Second most popular in Germany in the Semantic Markup category.
- 🥈 Second most popular in Japan 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.