Spreadsheet Extract API

A focused use case

Convert a maintained inventory sheet into a catalog while preserving codes, units, and the distinction between empty cells and unavailable observations.

A practical workflow

Agree on the header row, accepted ranges, and data types. Decide whether the task needs displayed values, formulas, or both. Validate merged headings, repeated header rows, and manual notes before export.

An example record contract

These fields illustrate the decisions to make before implementation. Adapt the names and required values to the receiving system; the table is not a promise of a live endpoint or a provider-specific response.

Limits worth keeping visible

A spreadsheet layout is not automatically a database schema. Treat formulas and display formatting deliberately, and test any CSV handoff in the receiving tool.

Before increasing the workload

Run a small, authorized test set through the whole path, including the receiving application. Keep accepted, rejected, and incomplete outcomes distinguishable. A result should retain the context needed to explain its meaning after it leaves the extractor.

Continue with CSV Extract API: Exports That Survive the Spreadsheet for the full implementation discussion, and use the sample contract documentation to review the shape of a handoff.