What are the key outputs of a DataRaptor Extract?

What are the key outputs of a DataRaptor Extract?

• A. The extracted data structured in a defined data shape, ready to be used by other components.
• B. Raw data in the source format.
• C. Only metadata about fields.
• D. Error payloads.

Answer: (A)

DataRaptor Extract is all about delivering data in a predictable, usable format. The essential output is the data that has been pulled from the source, organized into the defined data shape you configure in the template. This means the extracted values appear exactly as fields and, if you’ve set up nested structures, in those nested objects too. Because of this shaped payload, downstream components like OmniScript, Flows, or UI elements can consume the data directly without additional reformatting. Think of it as taking raw source data and mapping it into a consistent structure that other parts of the system know how to work with. That’s why the primary result is the structured data, not the raw source format. Metadata about fields isn’t the main output, and error payloads only show up if something goes wrong during extraction, not as the regular result.

DataRaptor Extract is all about delivering data in a predictable, usable format. The essential output is the data that has been pulled from the source, organized into the defined data shape you configure in the template. This means the extracted values appear exactly as fields and, if you’ve set up nested structures, in those nested objects too. Because of this shaped payload, downstream components like OmniScript, Flows, or UI elements can consume the data directly without additional reformatting.

Think of it as taking raw source data and mapping it into a consistent structure that other parts of the system know how to work with. That’s why the primary result is the structured data, not the raw source format. Metadata about fields isn’t the main output, and error payloads only show up if something goes wrong during extraction, not as the regular result.