csv-parser

Streaming CSV parser that aims for maximum speed as well as compatibility with the csv-spectrum CSV acid test suite.

csv-parser can convert CSV into JSON at at rate of around 90,000 rows per second. Performance varies with the data used; try bin/bench.js <your file> to benchmark your data.

csv-parser can be used in the browser with browserify.

neat-csv can be used if a Promise based interface to csv-parser is needed.

Note: This module requires Node v8.16.0 or higher.

Benchmarks

⚡️ csv-parser is greased-lightning fast

→ npm run bench

  Filename                 Rows Parsed  Duration
  backtick.csv                       2     3.5ms
  bad-data.csv                       3    0.55ms
  basic.csv                          1    0.26ms
  comma-in-quote.csv                 1    0.29ms
  comment.csv                        2    0.40ms
  empty-columns.csv                  1    0.40ms
  escape-quotes.csv                  3    0.38ms
  geojson.csv                        3    0.46ms
  large-dataset.csv               7268      73ms
  newlines.csv                       3    0.35ms
  no-headers.csv                     3    0.26ms
  option-comment.csv                 2    0.24ms
  option-escape.csv                  3    0.25ms
  option-maxRowBytes.csv          4577      39ms
  option-newline.csv                 0    0.47ms
  option-quote-escape.csv            3    0.33ms
  option-quote-many.csv              3    0.38ms
  option-quote.csv                   2    0.22ms
  quotes+newlines.csv                3    0.20ms
  strict.csv                         3    0.22ms
  latin.csv                          2    0.38ms
  mac-newlines.csv                   2    0.28ms
  utf16-big.csv                      2    0.33ms
  utf16.csv                          2    0.26ms
  utf8.csv                           2    0.24ms

Install

Using npm:

$ npm install csv-parser

Using yarn:

$ yarn add csv-parser

Usage

To use the module, create a readable stream to a desired CSV file, instantiate csv, and pipe the stream to csv.

Suppose you have a CSV file data.csv which contains the data:

NAME,AGE
Daffy Duck,24
Bugs Bunny,22

It could then be parsed, and results shown like so:

const csv = require('csv-parser')
const fs = require('fs')
const results = [];

fs.createReadStream('data.csv')
  .pipe(csv())
  .on('data', (data) => results.push(data))
  .on('end', () => {
    console.log(results);
    // [
    //   { NAME: 'Daffy Duck', AGE: '24' },
    //   { NAME: 'Bugs Bunny', AGE: '22' }
    // ]
  });

To specify options for csv, pass an object argument to the function. For example:

csv({ separator: '\t' });

API

csv([options | headers])

Returns: Array[Object]

options

Type: Object

As an alternative to passing an options object, you may pass an Array[String] which specifies the headers to use. For example:

csv(['Name', 'Age']);

If you need to specify options and headers, please use the the object notation with the headers property as shown below.

escape

Type: String
Default: "

A single-character string used to specify the character used to escape strings in a CSV row.

headers

Type: Array[String] | Boolean

Specifies the headers to use. Headers define the property key for each value in a CSV row. If no headers option is provided, csv-parser will use the first line in a CSV file as the header specification.

If false, specifies that the first row in a data file does not contain headers, and instructs the parser to use the column index as the key for each column. Using headers: false with the same data.csv example from above would yield:

[
  { '0': 'Daffy Duck', '1': 24 },
  { '0': 'Bugs Bunny', '1': 22 }
]

Note: If using the headers for an operation on a file which contains headers on the first line, specify skipLines: 1 to skip over the row, or the headers row will appear as normal row data. Alternatively, use the mapHeaders option to manipulate existing headers in that scenario.

mapHeaders

Type: Function

A function that can be used to modify the values of each header. Return a String to modify the header. Return null to remove the header, and it's column, from the results.

csv({
  mapHeaders: ({ header, index }) => header.toLowerCase()
})

Parameters

header String The current column header.
index Number The current column index.

mapValues

Type: Function

A function that can be used to modify the content of each column. The return value will replace the current column content.

csv({
  mapValues: ({ header, index, value }) => value.toLowerCase()
})

Parameters

header String The current column header.
index Number The current column index.
value String The current column value (or content).

newline

Type: String
Default: \n

Specifies a single-character string to denote the end of a line in a CSV file.

quote

Type: String
Default: "

Specifies a single-character string to denote a quoted string.

raw

Type: Boolean

If true, instructs the parser not to decode UTF-8 strings.

separator

Type: String
Default: ,

Specifies a single-character string to use as the column separator for each row.

skipComments

Type: Boolean | String
Default: false

Instructs the parser to ignore lines which represent comments in a CSV file. Since there is no specification that dictates what a CSV comment looks like, comments should be considered non-standard. The "most common" character used to signify a comment in a CSV file is "#". If this option is set to true, lines which begin with # will be skipped. If a custom character is needed to denote a commented line, this option may be set to a string which represents the leading character(s) signifying a comment line.

skipLines

Type: Number
Default: 0

Specifies the number of lines at the beginning of a data file that the parser should skip over, prior to parsing headers.

maxRowBytes

Type: Number
Default: Number.MAX_SAFE_INTEGER

Maximum number of bytes per row. An error is thrown if a line exeeds this value. The default value is on 8 peta byte.

strict

Type: Boolean
Default: false

If true, instructs the parser that the number of columns in each row must match the number of headers specified or throws an exception. if false: the headers are mapped to the column index less columns: any missing column in the middle will result in a wrong property mapping! more columns: the aditional columns will create a "_"+index properties - eg. "_10":"value"

Events

The following events are emitted during parsing:

`data`

Emitted for each row of data parsed with the notable exception of the header row. Please see Usage for an example.

`headers`

Emitted after the header row is parsed. The first parameter of the event callback is an Array[String] containing the header names.

fs.createReadStream('data.csv')
  .pipe(csv())
  .on('headers', (headers) => {
    console.log(`First header: ${headers[0]}`)
  })

Readable Stream Events

Events available on Node built-in Readable Streams are also emitted. The end event should be used to detect the end of parsing.

CLI

This module also provides a CLI which will convert CSV to newline-delimited JSON. The following CLI flags can be used to control how input is parsed:

Usage: csv-parser [filename?] [options]

  --escape,-e         Set the escape character (defaults to quote value)
  --headers,-h        Explicitly specify csv headers as a comma separated list
  --help              Show this help
  --output,-o         Set output file. Defaults to stdout
  --quote,-q          Set the quote character ('"' by default)
  --remove            Remove columns from output by header name
  --separator,-s      Set the separator character ("," by default)
  --skipComments,-c   Skip CSV comments that begin with '#'. Set a value to change the comment character.
  --skipLines,-l      Set the number of lines to skip to before parsing headers
  --strict            Require column length match headers length
  --version,-v        Print out the installed version

For example; to parse a TSV file:

cat data.tsv | csv-parser -s $'\t'

Encoding

Users may encounter issues with the encoding of a CSV file. Transcoding the source stream can be done neatly with a modules such as:

Or native iconv if part of a pipeline.

Byte Order Marks

Some CSV files may be generated with, or contain a leading Byte Order Mark. This may cause issues parsing headers and/or data from your file. From Wikipedia:

The Unicode Standard permits the BOM in UTF-8, but does not require nor recommend its use. Byte order has no meaning in UTF-8.

To use this module with a file containing a BOM, please use a module like strip-bom-stream in your pipeline:

const fs = require('fs');

const csv = require('csv-parser');
const stripBom = require('strip-bom-stream');

fs.createReadStream('data.csv')
  .pipe(stripBom())
  .pipe(csv())
  ...

When using the CLI, the BOM can be removed by first running:

$ sed $'s/\xEF\xBB\xBF//g' data.csv

Current Tags

2.0.0-beta.1 ... beta (6 years ago)
3.0.0 ... latest (4 years ago)

csv-parser

Benchmarks

Install

Usage

API

csv([options | headers])

options

escape

headers

mapHeaders

Parameters

mapValues

Parameters

newline

quote

raw

separator

skipComments

skipLines

maxRowBytes

strict

Events

`data`

`headers`

Readable Stream Events

CLI

Encoding

Byte Order Marks

Meta

Current Tags

44 Versions