Resume Parser

A Simple NodeJs library to parse Resume files in PDF, DOC, DOCX and TXT format to JSON. If the CVs / Resumes contain any social media profile links then the solution should also parse the public social profile web-pages and organize the data in JSON format (e.g. Linkedin public profile, Github, etc.)

Installation

npm install easy-resume-parser --save

Usage

``
const ResumeParser = require('easy-resume-parser');

// From file
const resume = new ResumeParser("./files/resume.doc");


// From URL
const resume = new ResumeParser("https://writing.colostate.edu/guides/documents/resume/functionalSample.pdf");

//Convert to JSON Object
resume.parseToJSON()
.then(data => {
console.log('Yay! ', data);
})
.catch(error => {
console.error(error);
});

//Save to JSON File
resume.parseToFile('converted') //output subdirectory
.then(file => {
console.log('Yay! ', file);
})
.catch(error => {
console.error(error);
});
`

At this moment application will work fine, but! By default it supports only .TXT and .HTML text formats. For better performance you should install at least support of .PDF (and .DOC). Here is instructions, how to do it from textract README file:

- PDF extraction requires poppler-utils be installed, link
- DOC extraction requires catdoc be installed, link, unless on OSX in which case textutil (installed by default) is used.
- DOCX extraction requires antiword be available (e.g. sudo apt-get install -y antiword for Ubuntu)

Extending

All 'action' are by building src/dictionary.js` file. For now it has only basics rules, but it's very flexible (although a bit complicated) and extensible. Just put your rule according to existing and following main principles and enjoy!

Contributions

- This project was originally forked from Perminder Klair's project https://www.npmjs.com/package/resume-parser