Parse XLSX with Node and create json

You can also use

var XLSX = require('xlsx');
var workbook = XLSX.readFile('Master.xlsx');
var sheet_name_list = workbook.SheetNames;
console.log(XLSX.utils.sheet_to_json(workbook.Sheets[sheet_name_list[0]]))

Improved Version of "Josh Marinacci" answer , it will read beyond Z column (i.e. AA1).

var XLSX = require('xlsx');
var workbook = XLSX.readFile('test.xlsx');
var sheet_name_list = workbook.SheetNames;
sheet_name_list.forEach(function(y) {
    var worksheet = workbook.Sheets[y];
    var headers = {};
    var data = [];
    for(z in worksheet) {
        if(z[0] === '!') continue;
        //parse out the column, row, and value
        var tt = 0;
        for (var i = 0; i < z.length; i++) {
            if (!isNaN(z[i])) {
                tt = i;
                break;
            }
        };
        var col = z.substring(0,tt);
        var row = parseInt(z.substring(tt));
        var value = worksheet[z].v;

        //store header names
        if(row == 1 && value) {
            headers[col] = value;
            continue;
        }

        if(!data[row]) data[row]={};
        data[row][headers[col]] = value;
    }
    //drop those first two rows which are empty
    data.shift();
    data.shift();
    console.log(data);
});

I think this code will do what you want. It stores the first row as a set of headers, then stores the rest in a data object which you can write to disk as JSON.

var XLSX = require('xlsx');
var workbook = XLSX.readFile('test.xlsx');
var sheet_name_list = workbook.SheetNames;
sheet_name_list.forEach(function(y) {
    var worksheet = workbook.Sheets[y];
    var headers = {};
    var data = [];
    for(z in worksheet) {
        if(z[0] === '!') continue;
        //parse out the column, row, and value
        var col = z.substring(0,1);
        var row = parseInt(z.substring(1));
        var value = worksheet[z].v;

        //store header names
        if(row == 1) {
            headers[col] = value;
            continue;
        }

        if(!data[row]) data[row]={};
        data[row][headers[col]] = value;
    }
    //drop those first two rows which are empty
    data.shift();
    data.shift();
    console.log(data);
});

prints out

[ { id: 1,
    headline: 'team: sally pearson',
    location: 'Australia',
    'body text': 'majority have…',
    media: 'http://www.youtube.com/foo' },
  { id: 2,
    headline: 'Team: rebecca',
    location: 'Brazil',
    'body text': 'it is a long established…',
    media: 'http://s2.image.foo/' } ]