{"repo":"juanmanueldaza/linkedin2md","free":true,"listed":false,"github":"https://github.com/juanmanueldaza/linkedin2md","clone":"git clone https://github.com/juanmanueldaza/linkedin2md.git","description":"Convert your LinkedIn data export to clean Markdown + PDF resume. Zero-dep Python CLI.","language":"Python","stars":37,"topics":["linkedin","llm","markdown","pdf","resume","career-tools","linkedin-export","python-cli"],"license":"GPL-2.0","category":"ai-agents","readme_excerpt":"linkedin2md — v0.7.1 Convert LinkedIn data exports to clean Markdown files - the ideal format for LLM analysis. Why Markdown? Markdown is the lingua franca of AI tools. Once your LinkedIn data is in .md format, you can: - Upload to NotebookLM and have conversations about your career history - Use Claude Projects to analyze patterns across your professional journey - Feed to Obsidian with AI plugins for a personal career knowledge base - Run local LLMs (Ollama, LM Studio) for completely private analysis Example Prompts Once your LinkedIn data is in an LLM, try asking: Question Data Used ---------- ----------- \"What patterns do you see in my career transitions?\" experience.md \"What skills have I developed over time?\" skills.md, experience.md \"Group my connections by industry\" connections.md \"What themes appear in my recommendations?\" recommendations.md \"Summarize my job applications and outcomes\" job applications.md \"What qualities do people consistently mention about me?\" recommendations.md, endorsements.md \"Based on my experience, what roles should I target?\" All files Installation Recommended (using pipx - installs in isolated environment): Or with pip (in a virtual environment): Note : On modern Linux systems (Debian, Ubuntu 23.04+, Fedora), use pipx to avoid the \"externally-managed-environment\" error. Usage Then drag the output folder into your favorite AI tool. Options Option Description Default -------- ------------- --------- source LinkedIn ZIP export file (required) -","default_branch":null,"files":null,"tree":[],"storefront":"/r/juanmanueldaza","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/juanmanueldaza/linkedin2md/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}