Want to convert JSON to CSV with specific fields?
Try DataFileConverter, a JSON to CSV converter for Windows, MacOS, and Linux, Convert JSON to CSV with specific columns, Easy and Fast.
- Can run in GUI mode, Step by Step, just a few mouse clicks.
- Can run in Command line, for Scheduled Tasks and Streams.
- Filter files locally and privately, avoid uploading JSON file(s) to online services.
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Convert JSON to CSV with specific fields
Choose JSON file -> Select needed columns for CSV -> Convert JSON to CSV with specific fields
“Start a New Convert” for “JSON to CSV”.
Select From “File” “JSON” To “File” “CSV”.
1. Open source JSON file.
Support large JSON file ( > 4GB ).
Source JSON file’s content is like this:
2. Config target CSV file, select only needed columns, or just drop certain columns.
3. Set rows options.
4. Convert JSON to CSV with specific fields.
After converting, you can view the output CSV file.
Convert JSON to CSV with specific fields in command line
Save “JSON to CSV” session, then you can:
- Convert JSON to CSV with specific fields in Windows command line.
- Convert JSON to CSV with specific fields in Linux command line.
- Convert JSON to CSV with specific fields in macOS command line.
Set scheduled tasks for converting JSON to CSV with specific fields
You can schedule and automate this “JSON to CSV” conversion task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for “JSON to CSV” conversion.
- Set scheduled task for “JSON to CSV” conversion.
FAQ
More about Withdata DataFileConverter – JSON to CSV converter
Download Withdata DataFileConverter
See Video: Convert JSON to CSV with specific fields
JSON → CSV reference
Type mapping
| Value kind | in JSON | in CSV |
|---|---|---|
| Int | 1234 (number) | 1234 |
| Decimal | 1234.56 (number) | 1234.56 |
| Float | 1.234e10 (number) | 1.234e+10 |
| Text | "text" (string) | quoted only when it contains a comma or a quote |
| Long text | "multi-line\ntext" (escaped newline inside a string) | must be quoted; line breaks inside force multi-line records |
| Date | "2026-09-18" (string) | 2026-09-18 |
| Datetime | "2026-09-18T14:30:00Z" (string) | 2026-09-18 14:30:00 |
| Binary | "base64:..." (string) | not representable - base64 or hex string |
| Boolean | true / false (boolean) | TRUE / FALSE, or 1 / 0 depending on the writer |
| JSON | nested object or array, kept as structure | the whole JSON value quoted, with internal quotes doubled |
Dialect differences
Both JSON and CSV are file formats, so what differs below is how each one chooses to represent a value.
| Property | in JSON | in CSV |
|---|---|---|
| identifiers | Double quotes; backslash escapes | Double quotes; a literal quote is doubled ("" ) |
| dates | No date type: dates arrive as strings and the reader must p... | Conventional text: 2026-09-18 or 2026-09-18 14:30:00 |
| binary | Not supported natively - base64 inside a string | Not supported |
| separator | Braces and commas | Comma "," |
| encoding | UTF-8 by definition | No declaration - UTF-8 works only with a BOM |
| typing | string, number, boolean, null, object, array - no date type | None - every field is text |
| shape | Nested objects and arrays | Flat table, optional header row |
| ceiling | Whole document is usually parsed into memory | No formal limit; row count bounded by memory |
Data File Converter without the manual work
For batch jobs, large files and scheduling use the Data File Converter converter — an offline desktop app for Windows, Linux and macOS. Free trial.
