Loop over items — beginner example
This workflow introduces beginners to one of the most fundamental concepts in n8n: looping over items. Using a simple use case—generating LinkedIn captions for content ideas—it demonstrates how to split a dataset into...
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This workflow introduces beginners to one of the most fundamental concepts in n8n: looping over items. Using a simple use case—generating LinkedIn captions for content ideas—it demonstrates how to split a dataset into individual items, process them with AI, and collect the output for review or export.
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✅ Key Features
- 🧪 Create Dummy Data: Simulate a small dataset of content ideas. - 🔁 Loop Over Items: Process each row independently using the SplitInBatches node. - 🧠 AI Caption Creation: Automatically generate LinkedIn captions using OpenAI. - 🧰 Tool Integration: Enhance AI output with creativity-injection tools. - 🧾 Final Output Set: Collect the original idea and generated caption.
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🧰 What You’ll Need
- ✅ An [OpenAI API key](https://platform.openai.com/signup) - ✅ The LangChain nodes enabled in your n8n instance - ✅ Basic knowledge of how to trigger and run workflows in n8n
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