JSON to CSV: Turning API Data into Spreadsheet-Friendly Files
Prepare API data for spreadsheets by choosing columns, flattening structures, and escaping CSV values correctly.
API responses are often easy for code to consume but awkward to inspect in a spreadsheet. JSON to CSV conversion creates a shareable table, yet nested objects and arrays require a deliberate decision about which fields are useful to people reading the export.
Start with an array of records that shares a consistent set of keys. If the response is wrapped in a data property, isolate that array first; if values are nested, flatten only the fields that answer the question the spreadsheet is meant to support.
Use /tools/json-to-csv to convert a copy of the data locally and open the result in a spreadsheet for a quick check. Look for correctly quoted commas and double quotes, complete headers, and rows that did not shift because one field contained a line break.
Do not export sensitive fields merely because they appear in the response. Access tokens, internal IDs, customer notes, and raw metadata can travel farther once a CSV is emailed or opened in a shared spreadsheet service.
For recurring reports, define a small export schema instead of dumping every API field. Stable column names make formulas, filters, and downstream imports more reliable, and they make it obvious when the API changes unexpectedly.