Add linkedin2md: zero-dependency LinkedIn→Markdown CLI for LLM analysis

[juanmanueldaza]

linkedin2md

GitHub: https://github.com/juanmanueldaza/linkedin2md
PyPI: https://pypi.org/project/linkedin2md/
Stars: 13 | Downloads: 4,500+ on PyPI

What it does

linkedin2md is a zero-dependency Python CLI that converts LinkedIn ZIP data exports into clean, structured Markdown files — the ideal format for feeding career data into local LLMs (Ollama, LM Studio, NotebookLM, Claude Projects, etc.).

Why it fits in awesome-local-llm

• 100% local and private — no API keys, no cloud, no accounts. All processing stays on your machine.
• Zero core dependencies — just pip install linkedin2md and go. Optional --pdf flag via WeasyPrint.
• Produces LLM-optimized Markdown from 40+ LinkedIn sections (experience, skills, recommendations, job applications, connections, etc.)
• Bilingual output (English/Spanish)
• SOLID architecture with @register_parser decorator for easy extensibility

Checklist

• Open-source with GPL-2.0 license
• Runs fully locally, no cloud dependencies
• Active maintenance (v0.3.1 released May 2026)
• 4,500+ PyPI downloads, 13 GitHub stars