`read-excel-file`

Read *.xlsx files in a browser or Node.js. Parse to JSON with a strict schema.

Install

npm install read-excel-file --save

Browser

<input type="file" id="input" />

import readXlsxFile from 'read-excel-file'

const input = document.getElementById('input')

input.addEventListener('change', () => {
  readXlsxFile(input.files[0]).then((rows) => {
    // `rows` is an array of rows
    // each row being an array of cells.
  })
})

Node.js

import readXlsxFile from 'read-excel-file/node'

// File path.
readXlsxFile('/path/to/file').then((rows) => {
  // `rows` is an array of rows
  // each row being an array of cells.
})

// Readable Stream.
readXlsxFile(fs.createReadStream('/path/to/file')).then((rows) => {
  ...
})

Dates

XLSX format has no dedicated "date" type so dates are stored internally as simply numbers along with a "format" (e.g. "MM/DD/YY"). When using readXlsx() with schema parameter all dates get parsed correctly in any case. But if using readXlsx() without schema parameter (to get "raw" data) then this library attempts to guess whether a cell value is a date or not by examining the cell "format" (e.g. "MM/DD/YY"), so in most cases dates are detected and parsed automatically. For exotic cases one can pass an explicit dateFormat parameter (e.g. "MM/DD/YY") to instruct the library to parse numbers with such "format" as dates.

JSON

To convert rows to JSON pass schema option to readXlsxFile(). It will return { rows, errors } object instead of just rows.

// An example *.xlsx document:
// -----------------------------------------------------------------------------
// | START DATE | NUMBER OF STUDENTS | IS FREE | COURSE TITLE |    CONTACT     |
// -----------------------------------------------------------------------------
// | 03/24/2018 |         123        |   true  |  Chemistry   | (123) 456-7890 |
// -----------------------------------------------------------------------------

const schema = {
  'START DATE': {
    prop: 'date',
    type: Date
    // Excel stores dates as integers.
    // E.g. '24/03/2018' === 43183.
    // Such dates are parsed to UTC+0 timezone with time 12:00 .
  },
  'NUMBER OF STUDENTS': {
    prop: 'numberOfStudents',
    type: Number,
    required: true
  },
  'COURSE': {
    prop: 'course',
    type: {
      'IS FREE': {
        prop: 'isFree',
        type: Boolean
        // Excel stored booleans as numbers:
        // `1` is `true` and `0` is `false`.
        // Such numbers are parsed to booleans.
      },
      'COURSE TITLE': {
        prop: 'title',
        type: String
      }
    }
  },
  'CONTACT': {
    prop: 'contact',
    required: true,
    parse(value) {
      const number = parsePhoneNumber(value)
      if (!number) {
        throw new Error('invalid')
      }
      return number
    }
  }
}

readXlsxFile(file, { schema }).then(({ rows, errors }) => {
  // `errors` have shape `{ row, column, error, value }`.
  errors.length === 0

  rows === [{
    date: new Date(2018, 2, 24),
    numberOfStudents: 123,
    course: {
      isFree: true,
      title: 'Chemistry'
    },
    contact: '+11234567890',
  }]
})

There are also some additional exported types:

"Integer" for parsing integer Numbers.
"URL" for parsing URLs.
"Email" for parsing email addresses.

A schema entry for a column can also have a validate(value) function for validating the parsed value. It must throw an Error if the value is invalid.

A React component for displaying error info could look like this:

import { parseExcelDate } from 'read-excel-file'

function ParseExcelError({ children: error }) {
  // Human-readable value.
  let value = error.value
  if (error.type === Date) {
    value = parseExcelDate(value).toString()
  }
  // Error summary.
  return (
    <div>
      <code>"{error.error}"</code>
      {' for value '}
      <code>"{value}"</code>
      {' in column '}
      <code>"{error.column}"</code>
      {error.type && ' of type '}
      {error.type && <code>"{error.type.name}"</code>}
      {' in row '}
      <code>"{error.row}"</code>
    </div>
  )
}

Browser compatibility

Node.js *.xlxs parser uses xpath and xmldom universal packages for XML parsing. The same packages could be used in a browser too but since all modern browsers (including IE 11) already have native DOMParser built-in this native implementation is used (which means smaller footprint and better performance).

Advanced

By default it reads the first sheet in the document. If you have multiple sheets in your spreadsheet then pass sheet: number as part of the options argument (options.sheet is 1 by default):

readXlsxFile(selectedFile, { sheet: 2 }).then((data) => {
  ...
})

References

This project is based on excel by @trevordixon and excel-as-json by @stevetarver.

For XML parsing xmldom and xpath are used.

License

MIT

ghacupha/read-excel-file

read-excel-file