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Jsonify Excel

Jsonify Excel files.


$ npm install jsonify-excel


Sreadsheet used by this document is below.

Name is String, Retired is Boolean, Born is Date, Age is Number and Error is Error.

Name Retired Born Age Error
Katsuhiro Otomo FALSE April 14, 1954 62 #DIV/0!
Hayao Miyazaki TRUE January 5, 1941 75 #NAME?
Hideaki Anno FALSE May 22, 1960 56 #REF!

Basic code:

const Je = require('jsonify-excel');
const config = {
  automap: false,
  sheet: 0,
  start: 2,
  condition: function (cell) {
    return !!cell('A');
const map = [{
  name: '*A',
  retired: '*B',
  born: '*C',
  age: '*D',
  error: '*E',
const json = new Je('test.xlsx').toJSON(config, map);


[ { name: 'Katsuhiro Otomo',
    retired: false,
    born: 'April 14, 1954',
    age: '62',
    error: [Error Object] },
  { name: 'Hayao Miyazaki',
    retired: true,
    born: 'January 5, 1941',
    age: '75',
    error: [Error Object] },
  { name: 'Hideaki Anno',
    retired: false,
    born: 'May 22, 1960',
    age: '56',
    error: [Error Object] } ]


filePath is path to your excel file.

toJSON(config, map)

Return an array of object or an object based on config and map.

For details of config and map, see below.


A plain object has a structure below.

key type default description
automap boolean false Generate map based on header cells automatically. Cell texts become keys of JSON.
sheet string/number 0 Target sheet name or zero-based index.
start number 2 One-based start row number. If automap is true, this parameter means header row and default value is set to 1 automatically.
condition function function (cell, row) { return !!cell('A'); } Conditional function called just before starting to parse current row. It has 2 arguments. cell is function to get a cell value passed column as its arguments. row is current row number. It needs to return true (proceed) or false (exit) or null (skip current row).
filter function null Function defines the current column is available or not. It has one argument that means the current column as upper-case letters. It needs to return true (include) or false (exclude). This option is available only when automap is true.


A plain object has a structure you want as JSON. Uppercase alphabets start with * are replaced with cell data of that column.

If it's wrapped by an array, one row is parsed as one item of returned array. Or all collected data are merged to one object and it's returned.

  name: '*A',
  retired: 'B',
  born: '*c',
  age: '*D',


[ { name: 'Katsuhiro Otomo',
    retired: 'B', // <-- not replaced 
    born: '*c', // <-- not replaced 
    age: '62' },
  { name: 'Hayao Miyazaki', ... },
  { name: 'Hideaki Anno', ... } ]
  name: '*A',

becomes below because the map is object not array and name property is overwritten with followed rows.

{ name: 'Hideaki Anno' }

You can get cell data as a key of JSON and also use a callback function same as one described in config section above.

  '*A': function (cell, row) {
    return cell('A');


  'Katsuhiro Otomo': 'Katsuhiro Otomo',
  'Hayao Miyazaki': 'Hayao Miyazaki',
  'Hideaki Anno': 'Hideaki Anno'


Mostly, header texts are used as keys of JSON. So you can set automap to true. Note that start means header row in this case.

new Je('test.xlsx').toJSON({ automap: true, start: 1 }); // No need 2nd argument 

is the same map as below.

  Name: '*A',
  Retired: '*B',
  Born: '*C',
  Age: '*D',
  Error: '*E',

You can define a function to filter columns. Below ignores from column A to E.

  automap: true,
  start: 1,
  filter: function (col) {
    return !/^[A-E]$/.test(col);

data type

Returned cell values have data type based on the rules below.

Excel JSON sample
string string 'Katsuhiro Otomo'
boolean boolean true
date string 'April 14, 1954'
number string '62'
error new Error(cell value) new Error('#DIV/0!')


$ npm i
$ npm run build
$ npm test