# LinkedIn API Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/linkedin-api
> Markdown URL: https://aitinkerers.org/technologies/linkedin-api.md
> Technology record last updated: 2026-02-24T20:08:38Z
> Generated: 2026-09-21T19:48:14Z

The official gateway for programmatically accessing professional data, social sharing, and marketing tools for 1 billion members.

The LinkedIn API enables seamless integration with the world's largest professional network. Developers leverage OAuth 2.0 to authenticate users and access specific endpoints: the Share API for content distribution, the Marketing Developer Platform for ad automation, and Lead Sync for real-time CRM updates. By utilizing standard REST principles and JSON payloads, the system allows for precise data retrieval across Talent, Sales, and Marketing verticals. This infrastructure supports high-volume operations (such as automated job postings and audience segmenting) while maintaining strict member privacy standards.

- Official technology site: https://developer.linkedin.com
- Public AI Tinkerers demos and talks: 2
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Lazy Marketing v3: From Meeting to Content Pipeline in Zero Click](https://seattle.aitinkerers.org/talks/rsvp_TtXOReDjy68)

Most of us have 10+ meetings a week full of insights worth sharing — but turning those into content never happens. Marketing Machine fixes that by wiring together Claude, Gemini, Slack, Google Sheets, and the LinkedIn API into a fully automated content pipeline. A Read.ai transcript hits a webhook. Claude extracts the best marketing hooks and expands them into on-brand LinkedIn posts using a 100+ line brand-voice prompt. You pick and refine posts entirely inside Slack with buttons and modals — no separate app needed. Gemini generates an accompanying image. Approved posts queue up in Google Sheets and auto-publish to LinkedIn on a schedule. In this demo, I'll walk through the full loop live — from raw meeting transcript to a published LinkedIn post — and dig into the prompt engineering, multi-model orchestration, and Slack-as-a-UI patterns that make it work. Built with Node.js, Express, and APIs anyone can sign up for. No GPUs, no fine-tuning, no ML infra required.

- Event context: AI Tinkerers Seattle: GTM Track — March — 2026-03-26 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_TtXOReDjy68

### [Searching through my LinkedIn Portability Data](https://paris.aitinkerers.org/talks/rsvp_EnIzfZNz5wI)

I'm (trying to) build a knowledge database with neo4j referencing the LinkedIn posts I reacted to.

- Event context: Turn Your Knowledge into an API for LLMs - Meetup — 2025-12-09 — Paris
- Public talk page: https://paris.aitinkerers.org/talks/rsvp_EnIzfZNz5wI

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