📊 Classify and summarize WeChat articles with GPT-4 Nano to Google Sheets and Notion

3,852 views · 📊 Market Research & Insights

Description

Who’s it for 👥

This template is perfect for content creators, marketers, and researchers managing WeChat public account articles! 🚀 It’s ideal for n8n newcomers or anyone wanting to save time on manual content analysis, especially if you use Google Sheets for tracking. 📊 Whether you’re into AI, 欧阳良宜, or automation, this is for you! 😄

How it works / What it does 🔧

This workflow automates the retrieval, filtering, classification, and summarization of WeChat articles. 🌐 It reads RSS feed links from a Google Sheet, filters articles from the last 10 days ⏳, cleans HTML content 🧹, classifies them as relevant or not 🎯, generates insightful Chinese summaries with AI 🤖, and saves results to Google Sheets and Notion. 📝 Outputs are Slack-formatted for team collaboration! 💬

How to set up 🛠️

  1. Prepare Google Sheets: Use your own documentId (replace the example) and set up sheets “Save Initial Links” (gid=198451233) and “Save Processed Data” (gid=1936091950). 📋
  2. Configure Credentials: Add Google Sheets and OpenAI API credentials—avoid hardcoding keys! 🔐
  3. Set RSS Feed: Update the rss_feed_url in the “RSS Read” node with your WeChat RSS feed. 🌐
  4. Customize AI: Tweak “Relevance Classification” and “Basic LLM Chain” prompts for your topics (e.g., 欧阳良宜, AI). 🎨
  5. Notion (Optional): Swap the databaseId (e.g., 22e79d55-2675-8055-a143-d55302c3c1b1) with your own. 📚
  6. Run Workflow: Trigger manually via the “When clicking ‘Execute workflow’” node. 🚀

Requirements ✅

How to customize the workflow 🎛️

🔗 Nodes Used

Google Sheets, RSS Read, Notion, Basic LLM Chain, OpenAI Chat Model, Text Classifier

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup