Flatten nested JSON into spreadsheet-ready data
CSV (Comma-Separated Values) is the lowest common denominator of data formats. Every spreadsheet app, database tool, and data analysis platform can read it. The challenge? JSON is hierarchical; CSV is flat.
Nested objects are flattened using dot notation. A property at user.address.city becomes a column named 'user.address.city'. This preserves the structure information while creating a flat table.
{
"user": {
"name": "John",
"address": {
"city": "NYC",
"zip": "10001"
}
}
}user.name,user.address.city,user.address.zip
John,NYC,10001Arrays can't be flattened into columns without losing information. The converter serializes arrays as JSON strings within the CSV cell. This preserves the data while keeping the row structure intact.
name,tags
Project A,"[""urgent"",""frontend""]"The converter scans ALL objects in the array to discover every possible column. This means if only the 5th object has a 'nickname' field, it still becomes a column with empty values for other rows.
CSV has specific escaping rules for values containing commas, quotes, or newlines. The converter handles all of these automatically.
| Content | Escaped Output | Rule |
|---|---|---|
| Contains comma | "value, here" | Wrap in quotes |
| Contains quote | "say ""hello""" | Double the quotes, wrap |
| Contains newline | "line1\nline2" | Wrap in quotes |
| Normal text | normal | No escaping needed |
If you pass a single object instead of an array, the converter wraps it in an array automatically. You'll get a CSV with one header row and one data row.
Columns are sorted alphabetically in the output. This provides consistent ordering regardless of how the JSON keys were originally arranged.
CSV cannot represent deeply nested structures elegantly. For complex hierarchical data, consider YAML or keeping it as JSON. CSV works best for tabular data with 1-2 levels of nesting.
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