AI Data Extraction with Dynamic Prompts and Airtable — n8n Workflow
Overview
This n8n template introduces the Dynamic Prompts Ai workflow pattern which are incredible for certain types of data extraction tasks where attributes are unknown or need to remain flexible.
The general idea behind this pattern is that the prompts for requested attributes to be extracted live outside the template and so can be changed at any time - without needing to edit the template. This seriously cuts down on maintainance requirements and is reusable for any number of tables at little cost.
Nodes used
Workflow Preview
How it Works
- 1
Trigger
The workflow starts with a webhook trigger.
- 2
Process
Data flows through 36 nodes, connecting airtable, chainllm, code.
- 3
Output
The workflow completes its automation and delivers the result to the configured destination.
Node Details (36)
Airtable
airtable
HTTP Request
httpRequest
Code
code
Basic LLM Chain
n8n-nodes-langchain.chainLlm
OpenAI Chat Model
n8n-nodes-langchain.lmChatOpenAi
How to Import This Workflow
- 1Click Download JSON button on the right to save the workflow file.
- 2Open your n8n instance. Go to Workflows → New → Import from file.
- 3Select the downloaded
ai-data-extraction-with-dynamic-prompts-and-airtablefile and click Import. - 4Set up credentials for each service node (API keys, OAuth, etc.).
- 5Click Test Workflow to verify everything works, then activate it.
Or paste directly in n8n → Import from JSON:
Integrations
Created by
Jimleuk
@jimleuk
Tags
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