When extracting data from HTML using Data Scraping, which data type should be expected?

When extracting data from HTML using Data Scraping, the expected data type is a dataTable. This is because Data Scraping is typically used to pull structured data from web pages, which is often organized in tabular formats such as tables or lists. A dataTable effectively represents rows and columns of data, making it easy to manipulate and analyze.

The dataTable format allows for batch processing and further data manipulation within RPA tools, enhancing the overall efficiency when dealing with large sets of scraped data. The structure of a dataTable is particularly suitable for representing information extracted from HTML since web content is frequently laid out in structured formats resembling tables.

Other data types, such as strings or dictionaries, do not provide the same level of organization or functionality for bulk data processing. Strings represent single pieces of text, which would not capture multiple data elements effectively, while dictionaries are key-value pairs that do not inherently support the tabular structure required for representing complex sets of data typically found in HTML. JSON, while a widely used format for data interchange, usually serves different use cases, such as APIs, rather than direct HTML scraping outputs.