Get Structured Data Meets The Web A Few Observations

Hear this out loud PauseStructured data is a standardized format for providing information about a page and classifying the page content; for example, on a recipe page, what are the ingredients, the cooking time and temperature, the calories, and so on.

HTML, XML, and other markup languages are all considered semi-structured. Their schemas may be descriptive, partial, or evolving. Semi-structured web data often contains lists and tables mixed with unstructured text.

Hear this out loud PauseStructured data is data that has a standardized format for efficient access by software and humans alike. It is typically tabular with rows and columns that clearly define data attributes. Computers can effectively process structured data for insights due to its quantitative nature.

Structured data conforms to a tabular format with relationship between the different rows and columns. Common examples of structured data are Excel files or SQL databases. Each of these have structured rows and columns that can be sorted.

Schema App's Structured Data Tester The Schema App Structured Data Tester can be found in the “Maintenance” tab in Schema App. Enter any URL, and this tool will display the Schema Markup found on that page. It is the only testing tool that displays dynamic schema.org data and does not cache the results.

Structured data is standardized, clearly defined, and searchable data, while unstructured data is usually stored in its native format. Structured data is quantitative, while unstructured data is qualitative. Structured data is often stored in data warehouses, while unstructured data is stored in data lakes.

Examples of structured data Dates and times. Cell phone numbers. Social security numbers. Banking/transaction information. Customer names, postal addresses, and email addresses. Product prices. Serial numbers.