Release v1.0.1 - LinkedIn PDF Parser

🚀 LinkedIn PDF Parser v1.0.1

A clean, lightweight TypeScript library for parsing LinkedIn PDF resumes and extracting structured profile data.

✨ Features

• 🚀 Simple API - Single function to parse PDF files or text
• 📦 Lightweight - Only 1 dependency (pdf-parse)
• 🔧 TypeScript First - Full type definitions included
• ⚡ Fast - Optimized parsing algorithms
• 🧪 Well Tested - 95.6% code coverage with 51 comprehensive tests
• 📱 ESM Ready - Modern ES module support

📊 Package Stats

• Bundle size: ~42.6 kB (compressed)
• Processing time: ~62ms average
• Test coverage: 95.6%
• Dependencies: Just 1 (pdf-parse)

🛠️ Installation

npm install @zalko/linkedin-parser

🚀 Quick Start

import { parseLinkedInPDF } from '@zalko/linkedin-parser';
import fs from 'fs';

const pdfBuffer = fs.readFileSync('resume.pdf');
const result = await parseLinkedInPDF(pdfBuffer);

console.log(result.profile.name);          // "John Silva"
console.log(result.profile.contact.email); // "john.silva@email.com"

🔧 What's Included

• Multiple formats: ESM, CommonJS, and minified versions
• TypeScript definitions: Full type support
• Source maps: For debugging
• Documentation: Comprehensive README and examples

🌍 Compatibility

• ✅ Node.js 16+
• ✅ TypeScript 5.0+
• ✅ ESM (ES Modules)
• ✅ CommonJS (via build)
• ✅ Browsers (via bundlers)

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📖 Documentation • 💻 Repository • 📦 NPM Package

Full Changelog: https://github.com/zalkowitsch/linkedin-parser/commits/v1.0.1