Batch export FoxPro tables to JSON files

Want to batch export data from FoxPro tables to JSON files?

Try Withdata DBToFile, a FoxPro to JSON converter for Windows, Linux, and macOS, Export FoxPro data to JSON, Easy and Fast.

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Batch export data from FoxPro tables to JSON files

Login to FoxPro -> Select FoxPro tables -> Set JSON file options -> Export FoxPro tables to JSON

Choose FoxPro and logon.

export FoxPro table to JSON file - Choose FoxPro and logon

Click “Export All Tables” at task dialog.

Export data from FoxPro Tables To JSON Files - task window

Select JSON file type.

Export data from FoxPro Tables To JSON Files - select JSON file type

1. Select FoxPro tables to export.

Batch Unload data from FoxPro Tables To JSON Files - tables

2. Set JSON options.

Extract data from FoxPro Tables To JSON Files - enter data folder

3. See FoxPro tables to be exported.

Convert data from FoxPro Tables To JSON Files - see tables

4. Set rows options.

Save data from FoxPro Tables To JSON Files - summary

5. Export FoxPro data to JSON files.

Dump data from FoxPro Tables To JSON Files - export

After exporting, you can view output JSON files.

Export data from FoxPro Table To JSON File - view JSON file


More about FoxPro to JSON converter

See also:

FoxPro → JSON reference

Type mapping

Value kindin FoxProin JSON
IntNumeric(10,0)1234 (number)
BigintNumeric(19,0)9007199254740993
DecimalNumeric(p,s)1234.56 (number)
FloatFloat1.234e10 (number)
TextCharacter(n)"text" (string)
Long textMemo"multi-line\ntext" (escaped newline inside a string)
DateDate"2026-09-18" (string)
Datetime(none)"2026-09-18T14:30:00Z" (string)
BinaryGeneral"base64:..." (string)
BooleanLogicaltrue / false (boolean)
JSON(none)nested object or array, kept as structure

Dialect differences

FoxPro is a database server and JSON is a file format, so the gap is wider than a dialect difference – the rows below are where values and structure stop lining up.

Propertyin FoxProin JSON
port(file-based)—
identifiers—Double quotes; backslash escapes
row limit(driver dependent)—
datesDate (D)No date type: dates arrive as strings and the reader must p...
long textMemo (M)—
binaryGeneral (G)Not supported natively - base64 inside a string
separator—Braces and commas
encoding—UTF-8 by definition
typing—string, number, boolean, null, object, array - no date type
shapeTables of rows and columnsNested objects and arrays
ceiling—Whole document is usually parsed into memory

No counterpart

  • JSON has no equivalent for Date and time – it has to be flattened or dropped.
  • JSON has no equivalent for JSON – it has to be flattened or dropped.

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