@dilanluna/csv-parser v1.0.1

CSV Parser

Simple and lightweight package to parse csv files into javascript objects.

Installation

Package require node.js version 10 or above, and can be installed with npm:

$ npm install @dilanluna/csv-parser

Usage

Import the module in your app.

import csvParser from '@dilanluna/csv-parser';

Or if you're using commonjs:

const csvParser = require('@dilanluna/csv-parser').default;

The csvParser is a function that accepts the following configuration object:

{
  filePath: string;
  separator?: string;
  extractHeaderFromFirstLine?: boolean;
}

Configuration in detail.

Once called to csvParser function with apropiate config, it returns a Promise resolved with an array of parsed objects or rejected if something went wrong.

Example

Supose you have a csv file called fruits.csv like this:

banana;12
apple;5
melon;4
watermelon;2

In your code you parse this file something like this:

import csvParser from '@dilanluna/csv-parser';

const fruits = await csvParser({
  filePath: 'fruits.csv',
});

console.log(fruits);
// Output
// [
//   { 0: 'banana', 1: '12' },
//   { 0: 'apple', 1: '5' },
//   { 0: 'melon', 1: '4' },
//   { 0: 'watermelon', 1: '2' }
// ]

You can map keys in the parsed object from the first line of the csv file.

Adding headers in the first line

name;count
banana;12
apple;5
melon;4
watermelon;2

Now add extractHeaderFromFirstLine to configuration object.

import csvParser from '@dilanluna/csv-parser';

const fruits = await csvParser({
  filePath: 'fruits.csv',
  extractHeaderFromFirstLine: true,
});

console.log(fruits);
// Output
// [
//   { name: 'banana', count: '12' },
//   { name: 'apple', count: '5' },
//   { name: 'melon', count: '4' },
//   { name: 'watermelon', count: '2' }
// ]

License

MIT