mouts-convert-excel-to-json
v1.0.1
Published
Convert Excel to JSON
Downloads
1
Maintainers
Readme
convert-excel-to-json
Convert Excel to JSON, mapping sheet columns to object keys.
Key features:
- Define a specific Range (e.g.
'A1:E6'
) - Specify a column to key mapping (e.g.
{porperty1: 'CELLVALUE A1', property2: 'CELLVALUE B1'}
) - Get just specific sheets (e.g.
{sheets: ['sheet1', 'sheet2']}
)
Install
NPM / Node
npm install convert-excel-to-json
or to use it via command-line
npm install -g convert-excel-to-json
Usage / Examples
For all the examples, lets suppose that our excel file has two sheets, named as 'sheet1' and 'sheet2'.
CLI
OBS: All the following examples can be used via command-line, in this case, the --config
parameter expects a valid JSON string.
$ convert-excel-to-json --config='{"sourceFile": "tests/test-data.xlsx"}'
In order to use it passing in only the sourceFile without extra configuration:
$ convert-excel-to-json --sourceFile="tests/test-data.xlsx"
To check the help section:
$ convert-excel-to-json --help
Simple conversion
Just gets all the rows, for each sheet, where each row will be represented by an object with a structure like { COLUMN: 'CELLVALUE' }
, e.g. from a sheet with only one column ( the column A) and two rows [{A: 'VALUE OF A1'}, {A: 'VALUE OF A2'}]
'use strict';
const excelToJson = require('convert-excel-to-json');
const result = excelToJson({
sourceFile: 'SOME-EXCEL-FILE.xlsx'
});
// result will be an Object containing keys with the same name as the sheets found on the excel file. Each of the keys will have an array of objects where each of them represents a row of the container sheet. e.g. for a excel file that has two sheets ('sheet1', 'sheet2')
{
sheet1: [{
A: 'data of cell A1',
B: 'data of cell B1',
C: 'data of cell C1'
}],
sheet2: [{
A: 'data of cell A1',
B: 'data of cell B1',
C: 'data of cell C1'
}]
}
Converting an xlsx that you have as a Buffer
'use strict';
const excelToJson = require('convert-excel-to-json');
const fs = require('fs');
const result = excelToJson({
source: fs.readFileSync('SOME-EXCEL-FILE.xlsx') // fs.readFileSync return a Buffer
});
// result will be an Object containing keys with the same name as the sheets found on the excel file. Each of the keys will have an array of objects where each of them represents a row of the container sheet. e.g. for a excel file that has two sheets ('sheet1', 'sheet2')
{
sheet1: [{
A: 'data of cell A1',
B: 'data of cell B1',
C: 'data of cell C1'
}],
sheet2: [{
A: 'data of cell A1',
B: 'data of cell B1',
C: 'data of cell C1'
}]
}
Identifying header rows
You will notice that if your sheet has some top rows setup as a header (it is very common), the first position of our result will have this data, which in this case it should not be very useful. So we can tell the module how many of the rows are headers, so we can skip them and get only the data.
'use strict';
const excelToJson = require('convert-excel-to-json');
const result = excelToJson({
sourceFile: 'SOME-EXCEL-FILE.xlsx',
header:{
// Is the number of rows that will be skipped and will not be present at our result object. Counting from top to bottom
rows: 1 // 2, 3, 4, etc.
}
});
// result will be an Object like the previous example, but without the rows that was defined as headers
Only to specific sheets
Just gets all the rows for each sheet defined on the config object
'use strict';
const excelToJson = require('convert-excel-to-json');
const result = excelToJson({
sourceFile: 'SOME-EXCEL-FILE.xlsx',
header:{
rows: 1
},
sheets: ['sheet2']
});
// result will be an Object like:
{
sheet2: [{
A: 'data of cell A1',
B: 'data of cell B1',
C: 'data of cell C1'
}]
}
Mapping columns to keys
One config to all sheets
Gets all the rows, for each sheet, but defining which columns should be returned and how they should be named on the result object.
'use strict';
const excelToJson = require('convert-excel-to-json');
const result = excelToJson({
sourceFile: 'SOME-EXCEL-FILE.xlsx',
columnToKey: {
A: 'id',
B: 'firstName'
}
});
// result will be an Object like:
{
sheet1: [{
id: 'data of cell A1',
firstName: 'data of cell B1'
}],
sheet2: [{
id: 'data of cell A1',
firstName: 'data of cell B1'
}]
}
Config per sheet
Gets all the rows, for each sheet, but defining which columns should be returned and how they should be named on the result object, per sheet.
'use strict';
const excelToJson = require('convert-excel-to-json');
const result = excelToJson({
sourceFile: 'SOME-EXCEL-FILE.xlsx',
sheets:[{
name: 'sheet1',
columnToKey: {
A: 'id',
B: 'ProductName'
}
},{
name: 'sheet2',
columnToKey: {
A: 'id',
B: 'ProductDescription'
}
}]
});
// result will be an Object like:
{
sheet1: [{
id: 'data of cell A1',
ProductName: 'data of cell B1'
}],
sheet2: [{
id: 'data of cell A1',
ProductDescription: 'data of cell B1'
}]
}
OBS: The config header.rows can also be defined per sheet, like in the previous example of columnToKey. e.g.
{
sourceFile: 'SOME-EXCEL-FILE.xlsx',
sheets:[{
name: 'sheet1',
header:{
rows: 1
},
columnToKey: {
A: 'id',
B: 'ProductName'
}
},{
name: 'sheet2',
header:{
rows: 3
},
columnToKey: {
A: 'id',
B: 'ProductDescription'
}
}]
}
Mapping columns to keys :: Special Variables
Cell Variables
A value from a specific cell can be defined as a key name (e.g. { A: '{{A1}}' }
). e.g. if we have 3 rows allocated for a header, but the text value is specified at the first row:
'use strict';
const excelToJson = require('convert-excel-to-json');
const result = excelToJson({
sourceFile: 'SOME-EXCEL-FILE.xlsx',
header:{
rows: 3
}
columnToKey: {
'A': '{{A1}}',
'B': '{{B1}}'
}
});
// result will be an Object like:
{
sheet1: [{
THE-VALUE-OF-THE-CELL-A1: 'data of cell A1',
THE-VALUE-OF-THE-CELL-B1: 'data of cell B1'
}],
sheet2: [{
THE-VALUE-OF-THE-CELL-A1: 'data of cell A1',
THE-VALUE-OF-THE-CELL-B1: 'data of cell B1'
}]
}
OBS: {{columnHeader}} will follow the config header.rows or, in case it is not specified, it will always treat the first row as a header.
Automatic key/property naming following the column header {{columnHeader}}
To return all the data but having the object keys named as a row header found at the excel, instead of the column letters, is just use two special configs. Check the following columnToKey:
'use strict';
const excelToJson = require('convert-excel-to-json');
const result = excelToJson({
sourceFile: 'SOME-EXCEL-FILE.xlsx',
columnToKey: {
'*': '{{columnHeader}}'
}
});
// result will be an Object like:
{
sheet1: [{
THE-VALUE-OF-THE-HEADER-CELL-A1: 'data of cell A1',
THE-VALUE-OF-THE-HEADER-CELL-B1: 'data of cell B1',
THE-VALUE-OF-THE-HEADER-CELL-C1: 'data of cell C1'
}],
sheet2: [{
THE-VALUE-OF-THE-HEADER-CELL-A1: 'data of cell A1',
THE-VALUE-OF-THE-HEADER-CELL-B1: 'data of cell B1',
THE-VALUE-OF-THE-HEADER-CELL-C1: 'data of cell C1'
}]
}
OBS: {{columnHeader}} will follow the config header.rows or, in case it is not specified, it will always treat the first row as a header.
Null values
If you would like to include null values in the result, you can specify the sheetStubs option.
'use strict';
const excelToJson = require('convert-excel-to-json');
const result = excelToJson({
sourceFile: sourceFile,
sheetStubs: true
});
// result will include null values for empty cells C1, B2 in the example below:
{
sheet1: [{
A: 'data of cell A1',
B: 'data of cell B1',
C: null
}],
sheet2: [{
A: 'data of cell A1',
B: null,
C: 'data of cell C1'
}]
}
Range
A specific range can be defined. Also like the previous configs, for all the sheets or per sheet.
One Range for all sheets
'use strict';
const excelToJson = require('convert-excel-to-json');
const result = excelToJson({
sourceFile: 'SOME-EXCEL-FILE.xlsx',
range: 'A2:B3',
sheets: ['sheet1', 'sheet2']
});
// result will be an Object like:
{
sheet1: [{
A: 'data of cell A2',
B: 'data of cell B2'
},{
A: 'data of cell A3',
B: 'data of cell B3'
}],
sheet2: [{
A: 'data of cell A2',
B: 'data of cell B2'
},{
A: 'data of cell A3',
B: 'data of cell B3'
}]
}
A Range per sheet
'use strict';
const excelToJson = require('convert-excel-to-json');
const result = excelToJson({
sourceFile: 'SOME-EXCEL-FILE.xlsx',
sheets: [{
name: 'sheet1',
range: 'A2:B2'
},{
name: 'sheet2',
range: 'A3:B4'
}]
});
// result will be an Object like this:
{
sheet1: [{
A: 'data of cell A2',
B: 'data of cell B2'
],
sheet2: [{
A: 'data of cell A3',
B: 'data of cell B3'
},{
A: 'data of cell A4',
B: 'data of cell B4'
}]
}