workflows.fit
Back to n8n workflows
n8n templateFreeBy Kai Hölters

Classify YouTube videos & generate email summaries with GPT-4 and Gmail

Classify YouTube Trends and Generate Email Summaries with GPT-4 and Gmail ![YouTube Trend Detector](https://img.shields.io/badge/Template-YouTubeTrendDetector-blue?logo=n8n) ![YouTube](https://img.shields.io/badge/You...

DevelopmentCore NodesCommunicationHITLAILangchainManual TriggerSticky Note
Loading interactive preview...

Template notes

Classify YouTube Trends and Generate Email Summaries with GPT-4 and Gmail

![YouTube Trend Detector](https://img.shields.io/badge/Template-YouTubeTrendDetector-blue?logo=n8n) ![YouTube](https://img.shields.io/badge/YouTube-FF0000?logo=youtube&logoColor=white) ![OpenAI](https://img.shields.io/badge/OpenAI-GPT--4-black?logo=openai) ![n8n](https://img.shields.io/badge/Workflow-n8n-12BEB4?logo=n8n&logoColor=white) ![Gmail](https://img.shields.io/badge/Email-GmailOAuth2-D14836?logo=gmail&logoColor=white) ![SMTP](https://img.shields.io/badge/Email-SMTP-6E6E6E)

Monitor YouTube channels, fetch stats, classify videos as viral (≥ 1000 likes) or normal, and auto‑generate LinkedIn/email summaries with GPT‑4. Deliver via Gmail or SMTP. Clear node names, examples, and auditable fields.

---

🎯 Overview This template monitors YouTube channels via RSS or the YouTube Data API, retrieves video stats, classifies each video as viral (≥ 1000 likes) or normal, and produces concise LinkedIn/email summaries with OpenAI (GPT‑4 family). It can send a compact weekly briefing via Gmail (OAuth2) or SMTP. Built for creators, marketing teams, and agencies who want automated trend alerts and ready‑to‑use content.

<a href="https://postimg.cc/cKsrVC7x" target="blank"<img src="https://i.postimg.cc/cKsrVC7x/Screenshot-2025-10-16-085219.png" alt="Screenshot-2025-10-16-085219" /</a

This screenshot shows the Gmail-ready weekly briefing generated by the Generate Weekly Briefing (HTML) node in my YouTube Trend Detector workflow, confirming the end-to-end pipeline: RSS/API → stats → like-based classification (≥ 1000 = viral) → LLM summaries → HTML email.

---