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Export Visual FoxPro table to JSON using dynamic filename with current date

Want to export data from Visual FoxPro table to JSON using current date as file name?

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

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Export data from Visual FoxPro table to JSON file using dynamic filename with date and time

Login to Visual FoxPro -> Choose Visual FoxPro table -> Set JSON filename template including date -> Export Visual FoxPro to JSON using current date as file name

Choose Visual FoxPro and logon.

“Export From Table” for “JSON to Visual FoxPro“.

Select JSON file type.

1. Choose Visual FoxPro table.

2. Set JSON file options. Enter filename template, including date, #yyyy# is for current year, #mm# month, #dd# day, #hh# hour, #mi# minute, #ss# second.

3. Set rows options.

4. Export Visual FoxPro table data to JSON file. Dynamically created JSON file name using present system time.

After exporting, you can view output JSON files.


More about Visual FoxPro to JSON converter

Visual FoxPro → JSON reference

Type mapping

Value kindin Visual 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)
DatetimeDateTime"2026-09-18T14:30:00Z" (string)
BinaryGeneral"base64:..." (string)
BooleanLogicaltrue / false (boolean)
JSON(none)nested object or array, kept as structure

Dialect differences

Visual 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 Visual FoxProin JSON
port(file-based)—
identifiers—Double quotes; backslash escapes
row limit(driver dependent)—
datesDate (D), DateTime (T)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 JSON - it has to be flattened or dropped.

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