JavaScript Examples Source · TypeScript · JavaScript · Output · Copy · import { parse } from '@fast-csv/parse'; const stream = parse({ headers: true }) .on('error', error => console.error(error)) .on('data', row => console.log(row)) .on('end', (rowCount: number) => console.log(`Parsed ${rowCount} rows`)); stream.write('header1,header2\n'); stream.write('col1,col2'); stream.end(); You can provide a delimiter option to change the delimiter from a , character.

const fs = require('fs'); const csv = require('fast-csv'); require('sepia'); /* eslint import/no-extraneous-dependencies: [0] */ require('dotenv').config(); const twitter = require('../common/lib/twitter'); // const { getRank } = require('../common/lib/similarweb.js'); const filename = './common/data/dapps.csv'; const apps = []; csv .fromPath(filename, { headers: true, }) .on('data', async (data) => { apps.push(data); }) .on('end', async () => { await twitter.fetchMentions(apps); const writeStream = fs.createWriteStream('./common/data/dapps-ranked.csv'); csv.write(apps, { headers: true }).pipe(writeStream); console.log('done'); });

Fast-csv is library for parsing and formatting CSVs or any other delimited value file in node.

Quick examples of parsing and formatting. TypeScript Source · Javascript Source · TypeScript · JavaScript · Output · Copy · import * as csv from 'fast-csv'; const csvStream = csv.format({ headers: true }); csvStream.pipe(process.stdout).on('end', () => process.exit()); csvStream.write({ header1: 'row1-col1', header2: 'row1-col2' }); csvStream.write({ header1: 'row2-col1', header2: 'row2-col2' }); csvStream.write({ header1: 'row3-col1', header2: 'row3-col2' }); csvStream.write({ header1: 'row4-col1', header2: 'row4-col2' }); csvStream.write({ header1: 'row5-col1', header2: 'row5-col2' }); csvStream.end(); TypeScript ·

March 6, 2021 - In looking at the feature set, fast-csv is comprised of 'parse' and 'format' routines for ingesting and transforming CSV files. It also supports streams for fast processing of large files.

CSV parser and formatter for node. Contribute to C2FO/fast-csv development by creating an account on GitHub.

You find all source code examples in the FastCSV GitHub repository.

November 30, 2021 - To write a CSV file using Fast CSV we will use the format package included in the Fast CSV npm module. Below is a quick example where we write 80K random rows to a test CSV file which could also have been data pulled in from a database:

May 6, 2026 - CSV parser and writer. Latest version: 5.0.7, last published: 2 months ago. Start using fast-csv in your project by running `npm i fast-csv`. There are 958 other projects in the npm registry using fast-csv.

Another example that passes an an nested array of row arrays with set headers: #!/usr/bin/env node 'use strict'; const fs = require('fs'); const path = require('path'); const csv = require('fast-csv'); /** * Writes data stored in an object literal to a CSV file path **/ const createCsv = (data, filename) => { const csvFile = path.resolve(__dirname, filename); // pass the array of headers to format() method const csvStream = csv.format({ headers: data.headers }); // loop over nested row arrays const arr = data.rows; for (let i = 0; i<arr.length; i++) { let row = arr[i]; csvStream.write( row );

This section covers the most basic usage of FastCSV. It provides examples for reading and writing CSV data.

const fs = require('fs'); const path = require('path'); const csv = require('fast-csv'); const User = require('./models/user'); fs.createReadStream(path.resolve(__dirname, 'assets', 'snake_case_users.csv')) .pipe(csv.parse({ headers: true })) // pipe the parsed input into a csv formatter .pipe(csv.format({ headers: true })) // Using the transform function from the formatting stream .transform((row, next) => { User.findById(row.id, (err, user) => { if (err) { return next(err); } return next(null, { id: row.id, firstName: row.first_name, lastName: row.last_name, address: row.address, // properties from user isVerified: user.isVerified, hasLoggedIn: user.hasLoggedIn, age: user.age, });

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Use this online fast-csv playground to view and fork fast-csv example apps and templates on CodeSandbox.

Use this online @fast-csv/parse playground to view and fork @fast-csv/parse example apps and templates on CodeSandbox.

December 28, 2022 - bhushankumarl / amazon-mws / examples / javaScript / sample / getReportAsReadableStram.js View on Github · } if (rows.length >= 5000 || (end && rows.length)) { sendToDB(rows.splice(0, 0), callback); rows = []; } } function sendToDB(data, callback) { // Send your data to the db console.log(data.length); callback(); } var decodeStream = iconv.decodeStream('ISO-8859-1'); response.pipe(decodeStream); var csvStream = csv.parse({ delimiter: '\t', headers: true, discardUnmappedColumns: true, ignoreEmpty: true, trim: true }); decodeStream.pipe(csvStream); csvStream.transform(function (data, cb) { processRowsInBatches(data, false, cb); }); csvStream .on('error', function (error) { console.error(error); }) .on('finish', function () { console.log('Finished proccessing stream'); // Call processRowsInBatches to proccess remaining rows processRowsInBatches(undefined, true, function () {

In this example a custom set of headers is provided for rows that are arrays. <Tabs defaultValue="ts" values={[ { label: 'TypeScript', value: 'ts', }, { label: 'JavaScript', value: 'js', }, { label: 'Output', value: 'output', }, ] }> import { format } from '@fast-csv/format'; const csvStream = format({ headers: ['header1', 'header2'] }); csvStream.pipe(process.stdout).on('end', () => process.exit()); csvStream.write(['value1a', 'value1b']); csvStream.write(['value2a', 'value2b']); csvStream.write(['value3a', 'value3b']); csvStream.write(['value4a', 'value4b']); csvStream.end();

@fast-csv/parse javascript parsing examples. To run all examples · npm run all-examples · To see a list of all available examples · npm run list · To run a specific example ·

December 4, 2020 - fast-csv documentation and community, including tutorials, reviews, alternatives, and more

Examples · Migration Guides · v2.x-to-v3.x · Fast-csv is library for parsing and formatting CSVs or any other delimited value file in node. CSV Formatting · CSV Parsing · Built using typescript. Flexible formatting and parsing options, to fit almost any scenario.