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eml-parser
Advanced tools
Readme
npm i eml-parser --save
const EmlParser = require('eml-parser');
const fs = require('fs');
let emailFile = fs.createReadStream('./test.eml'); // or test.msg
new EmlParser(emailFile).convertEmailToStream('pdf')
.then(stream => {
stream.pipe(fs.createWriteStream(emailFile.path + '.pdf'));
})
.catch(err => {
console.log(err);
})
new EmlParser(emailFile).convertMessageToStream('pdf')
.then(stream => {
stream.pipe(fs.createWriteStream(emailFile.path + '.pdf'));
})
.catch(err => {
console.log(err);
})
{highlightKeywords: String[], highlightCaseSensitive: true| undefined}
to highlight keywords provided in highlightKeywords
option, highlightCaseSensitive: true
will do case sensitive match to highlight keywords. Works with all functions which return email content in any format (html, pdf, image, etc).new EmlParser(fs.createReadStream('test.eml'))
constructor takes a Read Stream as input
takes 2 optional arguments, returns the parsed eml object.
{ignoreEmbedded: true}
, use this to ignore embedded files from appearing under attachments{highlightKeywords: String[], highlightCaseSensitive: true}
, (e.g: {highlightKeywords: ["foo", "bar"], highlightCaseSensitive: true}) use this to highlight certain keywords in the email's html content. highlightCaseSensitive: true
will highlight keywords which match the case, defaults to false.new EmlParser(fs.createReadStream('test.eml'))
.parseEml(options?)
.then(result => {
// properties in result object:
// {
// "attachments": [],
// "headers": {},
// "headerLines": [],
// "html": "",
// "text": "",
// "textAsHtml": "",
// "subject": "",
// "references": "",
// "date": "",
// "to": {},
// "from": {},
// "cc": {},
// "messageId": "",
// "inReplyTo": ""
// }
console.log(result);
})
.catch(err => {
console.log(err);
})
new EmlParser(fs.createReadStream('test.eml'))
.getEmailHeaders()
.then(headers => {
//properties of headers object
//{
// subject: result.subject,
// from: result.from.value,
// to: result.to.value,
// cc: result.cc.value,
// date: result.date,
// inReplyTo: result.inReplyTo,
// messageId: result.messageId
//}
console.log(headers)
})
.catch(err => {
console.log(err);
})
takes 1 optional argument, returns email content as a html string (without headers like subject, from, etc).
{highlightKeywords: String[], highlightCaseSensitive: true}
, (e.g: {highlightKeywords: ["foo", "bar"], highlightCaseSensitive: true}) use this to highlight certain keywords in the email's html content. highlightCaseSensitive: true
will highlight keywords which match the case, defaults to false.new EmlParser(fs.createReadStream('test.eml'))
.getEmailBodyHtml()
.then(htmlString => {
fs.writeFileSync('abc.html',htmlString) ;
})
.catch(err => {
console.log(err);
})
takes 1 optional argument, returns whole email as a html string (including headers like subject, from, etc).
{highlightKeywords: String[], highlightCaseSensitive: true}
, (e.g: {highlightKeywords: ["foo", "bar"], highlightCaseSensitive: true}) use this to highlight certain keywords in the email's html content. highlightCaseSensitive: true
will highlight keywords which match the case, defaults to false.new EmlParser(fs.createReadStream('test.eml'))
.getEmailAsHtml()
.then(htmlString => {
fs.writeFileSync('abc.html',htmlString) ;
})
.catch(err => {
console.log(err);
})
takes 4 optional arguments, returns a stream which can be piped to a Write Stream to write to a file.
type:'pdf'|'jpeg'|'png'
, defaults to: 'pdf'orientation:'potrait'|'landscape'
, defaults to: 'landscape'format:'A3'|'A4'|'A5'|'Legal'|'Letter'|'Tabloid'
{highlightKeywords: String[], highlightCaseSensitive: true}
, (e.g: {highlightKeywords: ["foo", "bar"], highlightCaseSensitive: true}) use this to highlight certain keywords in the email's html content. highlightCaseSensitive: true
will highlight keywords which match the case, defaults to false.let file = fs.createReadStream('test.eml')
new EmlParser(file)
.convertEmailToStream('png')
.then(stream => {
stream.pipe(fs.createWriteStream(file.path + '.png'));
})
.catch(err => {
console.log(err);
})
takes 4 optional arguments, returns a buffer object which can be used to write to a file using fs.write.:
type:'pdf'|'jpeg'|'png'
, defaults to: 'pdf'orientation:'potrait'|'landscape'
, defaults to: 'landscape'format:'A3'|'A4'|'A5'|'Legal'|'Letter'|'Tabloid'
{highlightKeywords: String[], highlightCaseSensitive: true}
, (e.g: {highlightKeywords: ["foo", "bar"], highlightCaseSensitive: true}) use this to highlight certain keywords in the email's html content. highlightCaseSensitive: true
will highlight keywords which match the case, defaults to false.let file = fs.createReadStream('test.eml')
new EmlParser(file)
.convertEmailToBuffer(null, null, null, { highlightKeywords: ['foo', 'bar', 'baz', 'foo baz'], highlightCaseSensitive: true })
.then(buffer => {
//use fs.write to write into file
})
.catch(err => {
console.log(err);
})
takes 1 optional argument, returns the list of attachments:
{ignoreEmbedded: true}
, defaults to falselet file = fs.createReadStream('test.eml')
new EmlParser(file)
.getEmailAttachments(options?) //options: {ignoreEmbedded: true} to ignore embedded files
.then(attachments => {
attachments.forEach(attachment => {
//attachment.content is the buffer object
console.log(attachment.filename, attachment.content);
.then(res => {
console.log(res);
})
.catch(err => {
console.log(err);
})
});
})
.catch(err => {
console.log(err);
})
returns the list of only embedded files
let file = fs.createReadStream('test.eml')
new EmlParser(file)
.getEmailEmbeddedFiles()
.then(embeddedFiles => {
embeddedFiles.forEach(embed => {
//embed.content is the buffer object
console.log(embed.filename, embed.content);
.then(res => {
console.log(res);
})
.catch(err => {
console.log(err);
})
});
})
.catch(err => {
console.log(err);
})
new EmlParser(fs.createReadStream('test.msg'))
.parseMsg(options?)
.then(result => {
// properties in result object:
// {
// "dataType": "msg",
// "attachments": [],
// "recipients": [
// {
// "dataType": "recipient",
// "addressType": "",
// "name": "",
// "email": "",
// "smtpAddress": "",
// "recipType": "to"
// },
// {
// "dataType": "recipient",
// "addressType": "",
// "name": "",
// "email": "",
// "smtpAddress": "",
// "recipType": "cc"
// }
// ],
// "messageClass": "",
// "sentRepresentingSmtpAddress": "",
// "lastModifierSMTPAddress": "",
// "inetAcctName": "",
// "subject": "",
// "conversationTopic": "",
// "normalizedSubject": "",
// "body": "",
// "lastModifierName": "",
// "senderSmtpAddress": "",
// "creatorSMTPAddress": "",
// "creationTime": "",
// "lastModificationTime": "",
// "clientSubmitTime": "",
// "messageDeliveryTime": "",
// "messageFlags": 0,
// "internetCodepage": 0,
// "messageLocaleId": 0,
// "messageCodepage": 0,
// "headers": "",
// "senderName": "",
// "senderEmail": "",
// "senderAddressType": "",
// "html": ""
// }
console.log(result);
})
.catch(err => {
console.log(err);
})
FAQs
Parse .eml and .msg files or convert to pdf, html, jpeg or png format. Extract headers and attachments from .eml and msg files.
The npm package eml-parser receives a total of 4,035 weekly downloads. As such, eml-parser popularity was classified as popular.
We found that eml-parser demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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