Export Access table to JSON using dynamic filename with current date

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

Try Withdata DBToFile, a Access to JSON converter for Windows, Linux, and macOS, Export Access data to JSON, 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.
• Support Windows, Linux, and macOS.

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

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

Choose Access and logon.

“Export From Table” for “JSON to Access“.

Select JSON file type.

1. Choose Access 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 Access table data to JSON file. Dynamically created JSON file name using present system time.

After exporting, you can view output JSON files.

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More about Access to JSON converter

Access → JSON reference

Type mapping

Value kind	in Access	in JSON
Int	Long Integer	1234 (number)
Bigint	Long Integer	9007199254740993
Decimal	Decimal	1234.56 (number)
Float	Double	1.234e10 (number)
Text	Text(n)	"text" (string)
Long text	Long Text	"multi-line\ntext" (escaped newline inside a string)
Date	Date/Time	"2026-09-18" (string)
Datetime	Date/Time	"2026-09-18T14:30:00Z" (string)
Binary	OLE Object	"base64:..." (string)
Boolean	Yes/No	true / false (boolean)
JSON	Long Text	nested object or array, kept as structure

Dialect differences

Access 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.

Property	in Access	in JSON
port	(file-based)	—
identifiers	[square brackets]	Double quotes; backslash escapes
row limit	SELECT TOP n	—
dates	Date/Time	No date type: dates arrive as strings and the reader must p...
long text	MEMO	—
binary	OLE Object	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
shape	Tables of rows and columns	Nested objects and arrays
ceiling	—	Whole document is usually parsed into memory

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