Parse JSON from open RESTful API and save to MySQL

Want to parse JSON from open RESTful API and save to MySQL database?

Try Withdata FileToDB, a desktop JSON to MySQL converter for Windows, MacOS, and Linux, Import JSON to MySQL, 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.

Download FileToDB
Windows 64 bit
Windows 32 bit
Linux .deb (For Debian, Ubuntu) 64 bit
Linux .rpm (For Red Hat, Fedora, SUSE) 64 bit
MacOS 64 bit

Import JSON from open RESTful API to MySQL database

Choose MySQL and logon.

Click “Wizard – 1 File To 1 Table” at task dialog.

Select “Source File From” with “Url”.

1. Input the RESTful API URL, and download to JSON file.

2. Open the saved JSON file.

3. Config target MySQL database.

You can create new MySQL table by JSON struct, just a few mouse clicks.

Select table and config fields.

4. Summary.

5. Import RESTful JSON to MySQL.

See importing results in MySQL table

Import API JSON_API to MySQL in command line

Save “JSON_API to MySQL” session, then you can:

• Import API JSON_API to MySQL in Windows command line.
• Import API JSON_API to MySQL in Linux command line.
• Import API JSON_API to MySQL in macOS command line.

Set scheduled tasks for importing API JSON_API to MySQL

You can schedule and automate this importing task by:

1. Save session and create .bat (Windows) or .sh (Linux/macOS) file for “JSON to MySQL” conversion.
2. Set scheduled task for “JSON to MySQL” conversion.

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More about FileToDB – JSON to MySQL converter

JSON → MySQL reference

Type mapping

Value kind	in JSON	in MySQL
Int	1234 (number)	INT
Bigint	9007199254740993	BIGINT
Decimal	1234.56 (number)	DECIMAL(p,s)
Float	1.234e10 (number)	DOUBLE
Text	"text" (string)	VARCHAR(n)
Long text	"multi-line\ntext" (escaped newline inside a string)	LONGTEXT
Date	"2026-09-18" (string)	DATE
Datetime	"2026-09-18T14:30:00Z" (string)	DATETIME
Binary	"base64:..." (string)	LONGBLOB
Boolean	true / false (boolean)	TINYINT(1)
JSON	nested object or array, kept as structure	JSON

Dialect differences

JSON is a file format and MySQL is a database server, so the target has to be told the types the file never carried - the rows below are where the two sides diverge.

Property	in JSON	in MySQL
port	—	3306
identifiers	Double quotes; backslash escapes	`backtick`
row limit	—	LIMIT n
dates	No date type: dates arrive as strings and the reader must p...	DATETIME, TIMESTAMP, DATE, TIME
long text	—	TINYTEXT / TEXT / MEDIUMTEXT / LONGTEXT
binary	Not supported natively - base64 inside a string	BLOB / TINYBLOB / LONGBLOB
separator	Braces and commas	—
encoding	UTF-8 by definition	—
typing	string, number, boolean, null, object, array - no date type	—
shape	Nested objects and arrays	Tables of rows and columns
ceiling	Whole document is usually parsed into memory	—

Command line

Side	Command
MySQL	mysqldump, or mysql -e "SELECT ..." > out.csv
MySQL (load)	mysqlimport, or LOAD DATA INFILE

Convert your data online, free

Free in-browser converters for CSV, Excel, JSON, XML and SQL: Withdata Online Data Conversion. Large files, batch conversion or scheduling? See the offline desktop apps, or browse all data conversion tools.