Structured data is data that is organized in a specific format, typically in a table or spreadsheet. It is often machine-readable and can be easily processed and analyzed by computers. Structured data typically includes clear, defined fields, such as name, address, phone number, and email. It is often used to store information that is consistent and follows a set of rules, such as customer data or inventory data.
There are several ways to collect structured data.
Data can be manually entered into a spreadsheet or database by a person. This is a common method for collecting small amounts of data, but it can be time-consuming and prone to errors.
Structured data can be imported from another source, such as a CSV file or an API. This is often done when transferring data from one system to another.
Structured data can be collected by using a web scraper to extract data from websites. This is a common method for collecting data from websites that do not provide a way to download or access their data directly.
Structured data can be collected by using surveys or forms that are filled out by individuals. This is a common method for collecting data from customers or clients. Overall, structured data is an important component of many businesses and organizations, as it allows for easy storage, organization, and analysis of data.