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https://codecov.io/gh/mafintosh/csv-parser/branch/master/graph/badge.svg\n[cover-url]: https://codecov.io/gh/mafintosh/csv-parser\n\n[size]: https://packagephobia.now.sh/badge?p=csv-parser\n[size-url]: https://packagephobia.now.sh/result?p=csv-parser\n\n# csv-parser\n\n[![tests][tests]][tests-url]\n[![cover][cover]][cover-url]\n[![size][size]][size-url]\n\nStreaming CSV parser that aims for maximum speed as well as compatibility with\nthe [csv-spectrum](https://npmjs.org/csv-spectrum) CSV acid test suite.\n\n`csv-parser` can convert CSV into JSON at at rate of around 90,000 rows per\nsecond. Performance varies with the data used; try `bin/bench.js `\nto benchmark your data.\n\n`csv-parser` can be used in the browser with [browserify](http://browserify.org/).\n\n[neat-csv](https://github.com/sindresorhus/neat-csv) can be used if a `Promise`\nbased interface to `csv-parser` is needed.\n\n_Note: This module requires Node v8.16.0 or higher._\n\n## Benchmarks\n\n⚡️ `csv-parser` is greased-lightning fast\n\n```console\n→ npm run bench\n\n Filename Rows Parsed Duration\n backtick.csv 2 3.5ms\n bad-data.csv 3 0.55ms\n basic.csv 1 0.26ms\n comma-in-quote.csv 1 0.29ms\n comment.csv 2 0.40ms\n empty-columns.csv 1 0.40ms\n escape-quotes.csv 3 0.38ms\n geojson.csv 3 0.46ms\n large-dataset.csv 7268 73ms\n newlines.csv 3 0.35ms\n no-headers.csv 3 0.26ms\n option-comment.csv 2 0.24ms\n option-escape.csv 3 0.25ms\n option-maxRowBytes.csv 4577 39ms\n option-newline.csv 0 0.47ms\n option-quote-escape.csv 3 0.33ms\n option-quote-many.csv 3 0.38ms\n option-quote.csv 2 0.22ms\n quotes+newlines.csv 3 0.20ms\n strict.csv 3 0.22ms\n latin.csv 2 0.38ms\n mac-newlines.csv 2 0.28ms\n utf16-big.csv 2 0.33ms\n utf16.csv 2 0.26ms\n utf8.csv 2 0.24ms\n```\n\n## Install\n\nUsing npm:\n\n```console\n$ npm install csv-parser\n```\n\nUsing yarn:\n\n```console\n$ yarn add csv-parser\n```\n\n## Usage\n\nTo use the module, create a readable stream to a desired CSV file, instantiate\n`csv`, and pipe the stream to `csv`.\n\nSuppose you have a CSV file `data.csv` which contains the data:\n\n```\nNAME,AGE\nDaffy Duck,24\nBugs Bunny,22\n```\n\nIt could then be parsed, and results shown like so:\n\n``` js\nconst csv = require('csv-parser')\nconst fs = require('fs')\nconst results = [];\n\nfs.createReadStream('data.csv')\n .pipe(csv())\n .on('data', (data) => results.push(data))\n .on('end', () => {\n console.log(results);\n // [\n // { NAME: 'Daffy Duck', AGE: '24' },\n // { NAME: 'Bugs Bunny', AGE: '22' }\n // ]\n });\n```\n\nTo specify options for `csv`, pass an object argument to the function. For\nexample:\n\n```js\ncsv({ separator: '\\t' });\n```\n\n## API\n\n### csv([options | headers])\n\nReturns: `Array[Object]`\n\n#### options\n\nType: `Object`\n\nAs an alternative to passing an `options` object, you may pass an `Array[String]`\nwhich specifies the headers to use. For example:\n\n```js\ncsv(['Name', 'Age']);\n```\n\nIf you need to specify options _and_ headers, please use the the object notation\nwith the `headers` property as shown below.\n\n#### escape\n\nType: `String`
\nDefault: `\"`\n\nA single-character string used to specify the character used to escape strings\nin a CSV row.\n\n#### headers\n\nType: `Array[String] | Boolean`\n\nSpecifies the headers to use. Headers define the property key for each value in\na CSV row. If no `headers` option is provided, `csv-parser` will use the first\nline in a CSV file as the header specification.\n\nIf `false`, specifies that the first row in a data file does _not_ contain\nheaders, and instructs the parser to use the column index as the key for each column.\nUsing `headers: false` with the same `data.csv` example from above would yield:\n\n``` js\n[\n { '0': 'Daffy Duck', '1': 24 },\n { '0': 'Bugs Bunny', '1': 22 }\n]\n```\n\n_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._\n\n#### mapHeaders\n\nType: `Function`\n\nA 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. \n\n```js\ncsv({\n mapHeaders: ({ header, index }) => header.toLowerCase()\n})\n```\n\n##### Parameters\n\n**header** _String_ The current column header.
\n**index** _Number_ The current column index.\n\n#### mapValues\n\nType: `Function`\n\nA function that can be used to modify the content of each column. The return value will replace the current column content.\n\n```js\ncsv({\n mapValues: ({ header, index, value }) => value.toLowerCase()\n})\n```\n\n##### Parameters\n\n**header** _String_ The current column header.
\n**index** _Number_ The current column index.
\n**value** _String_ The current column value (or content).\n\n##### newline\n\nType: `String`
\nDefault: `\\n`\n\nSpecifies a single-character string to denote the end of a line in a CSV file.\n\n#### quote\n\nType: `String`
\nDefault: `\"`\n\nSpecifies a single-character string to denote a quoted string.\n\n#### raw\n\nType: `Boolean`
\n\nIf `true`, instructs the parser not to decode UTF-8 strings.\n\n#### separator\n\nType: `String`
\nDefault: `,`\n\nSpecifies a single-character string to use as the column separator for each row.\n\n#### skipComments\n\nType: `Boolean | String`
\nDefault: `false`\n\nInstructs 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.\n\n#### skipLines\n\nType: `Number`
\nDefault: `0`\n\nSpecifies the number of lines at the beginning of a data file that the parser should\nskip over, prior to parsing headers.\n\n#### maxRowBytes\n\nType: `Number`
\nDefault: `Number.MAX_SAFE_INTEGER`\n\nMaximum number of bytes per row. An error is thrown if a line exeeds this value. The default value is on 8 peta byte.\n\n#### strict\n\nType: `Boolean`
\nDefault: `false`\n\nIf `true`, instructs the parser that the number of columns in each row must match\nthe number of `headers` specified or throws an exception.\nif `false`: the headers are mapped to the column index\n less columns: any missing column in the middle will result in a wrong property mapping!\n more columns: the aditional columns will create a \"_\"+index properties - eg. \"_10\":\"value\"\n\n## Events\n\nThe following events are emitted during parsing:\n\n### `data`\n\nEmitted for each row of data parsed with the notable exception of the header\nrow. Please see [Usage](#Usage) for an example.\n\n### `headers`\n\nEmitted after the header row is parsed. The first parameter of the event\ncallback is an `Array[String]` containing the header names.\n\n```js\nfs.createReadStream('data.csv')\n .pipe(csv())\n .on('headers', (headers) => {\n console.log(`First header: ${headers[0]}`)\n })\n```\n\n### Readable Stream Events\n\nEvents available on Node built-in\n[Readable Streams](https://nodejs.org/api/stream.html#stream_class_stream_readable)\nare also emitted. The `end` event should be used to detect the end of parsing.\n\n## CLI\n\nThis module also provides a CLI which will convert CSV to\n[newline-delimited](http://ndjson.org/) JSON. The following CLI flags can be\nused to control how input is parsed:\n\n```\nUsage: csv-parser [filename?] [options]\n\n --escape,-e Set the escape character (defaults to quote value)\n --headers,-h Explicitly specify csv headers as a comma separated list\n --help Show this help\n --output,-o Set output file. Defaults to stdout\n --quote,-q Set the quote character ('\"' by default)\n --remove Remove columns from output by header name\n --separator,-s Set the separator character (\",\" by default)\n --skipComments,-c Skip CSV comments that begin with '#'. Set a value to change the comment character.\n --skipLines,-l Set the number of lines to skip to before parsing headers\n --strict Require column length match headers length\n --version,-v Print out the installed version\n```\n\nFor example; to parse a TSV file:\n\n```\ncat data.tsv | csv-parser -s $'\\t'\n```\n\n## Encoding\n\nUsers may encounter issues with the encoding of a CSV file. Transcoding the\nsource stream can be done neatly with a modules such as:\n- [`iconv-lite`](https://www.npmjs.com/package/iconv-lite)\n- [`iconv`](https://www.npmjs.com/package/iconv)\n\nOr native [`iconv`](http://man7.org/linux/man-pages/man1/iconv.1.html) if part\nof a pipeline.\n\n## Byte Order Marks\n\nSome CSV files may be generated with, or contain a leading [Byte Order Mark](https://en.wikipedia.org/wiki/Byte_order_mark#UTF-8). This may cause issues parsing headers and/or data from your file. From Wikipedia:\n\n>The Unicode Standard permits the BOM in UTF-8, but does not require nor recommend its use. Byte order has no meaning in UTF-8.\n\nTo use this module with a file containing a BOM, please use a module like [strip-bom-stream](https://github.com/sindresorhus/strip-bom-stream) in your pipeline:\n\n```js\nconst fs = require('fs');\n\nconst csv = require('csv-parser');\nconst stripBom = require('strip-bom-stream');\n\nfs.createReadStream('data.csv')\n .pipe(stripBom())\n .pipe(csv())\n ...\n```\n\nWhen using the CLI, the BOM can be removed by first running:\n\n```console\n$ sed $'s/\\xEF\\xBB\\xBF//g' data.csv\n```\n\n## Meta\n\n[CONTRIBUTING](./.github/CONTRIBUTING)\n\n[LICENSE (MIT)](./LICENSE)\n","_attachments":{},"homepage":"https://github.com/mafintosh/csv-parser","bugs":{"url":"https://github.com/mafintosh/csv-parser/issues"},"license":"MIT"}