Ai data extraction with dynamic prompts and Airtable

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. 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 gen...

Best for

HR automation workflows
AI Summarization automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.switch, n8n-nodes-base.code, n8n-nodes-base.httprequest, n8n-nodes-base.extractfromfile, n8n-nodes-base.set, n8n-nodes-base.splitinbatches, n8n-nodes-base.noop, @n8n/n8n-nodes-langchain.chainllm

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Jimleuk.

Original n8n.io source

1.1 Workflow description

Title: Ai data extraction with dynamic prompts and Airtable
Workflow name: Ai data extraction with dynamic prompts and Airtable

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.

Check out the video demo I did for n8n Studio here: https://www.youtube.com/watch?v=_fNAD1u8BZw

Check out the example Airtable here: https://airtable.com/appAyH3GCBJ56cfXl/shrXzR1Tj99kuQbyL

Looking for the Baserow Version? https://n8n.io/workflows/2780-ai-data-extraction-with-dynamic-prompts-and-baserow/

How it works

Given we have an "input" field for context and a number of fields for the data we want to extract, this template will run in the background to react to any changes to either the "input" or fields and automatically update the rows accordingly.
The key is that Airtable fields have a special property called the "field description". In this pattern, we use this property to allow the user to store a simple prompt describing the data that should exist in the column.
Our n8n template reads these column descriptions aka "prompts" to use as instructions to perform tasks on the "input".
In this template, the "input" is a PDF of a resume/CV and the columns are attributes a HR person would want to extract from it - such as full name, address, last position, years of experience etc.

How to use

First publish this template and ensure it's accessible via webhook URL.
You then have to run the "create airtable webhooks" mini-flow to configure your Airtable to send change events to the n8n template. This mini-flow exists in the template but you'll have to update the IDs.

Check the template for more instructions.

Requirements

Airtable for Tables/Database
OpenAI for LLM and extraction. Feel free to choose another LLM if preferred.

Customising this workflow

If you're not using files, you can replace the "input" field with anything you like. For example, the "input" could be single line text.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Event Type

Type / Role: n8n-nodes-base.switch - switch
Config choices: Version 3.2

Block 2 - Get Prompt Fields

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 3 - Get File Data

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 4 - Extract from File

Type / Role: n8n-nodes-base.extractFromFile - extractFromFile
Config choices: Version 1

Block 5 - Get Result

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 6 - Loop Over Items

Type / Role: n8n-nodes-base.splitInBatches - splitInBatches
Config choices: Version 3

Block 7 - Row Reference

Type / Role: n8n-nodes-base.noOp - noOp
Config choices: Version 1

Block 8 - Generate Field Value

Type / Role: @n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices: Version 1.5

Block 9 - Fields to Update

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 10 - Loop Over Items1

Type / Role: n8n-nodes-base.splitInBatches - splitInBatches
Config choices: Version 3

Block 11 - Row Ref

Type / Role: n8n-nodes-base.noOp - noOp
Config choices: Version 1

Block 12 - Get File Data1

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 13 - Extract from File1

Type / Role: n8n-nodes-base.extractFromFile - extractFromFile
Config choices: Version 1

Block 14 - Get Result1

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 15 - Generate Field Value1

Type / Role: @n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices: Version 1.5

Block 16 - Filter Valid Rows

Type / Role: n8n-nodes-base.filter - filter
Config choices: Version 2.2

Block 17 - Filter Valid Fields

Type / Role: n8n-nodes-base.filter - filter
Config choices: Version 2.2

Block 18 - Event Ref

Type / Role: n8n-nodes-base.noOp - noOp
Config choices: Version 1

Block 19 - Event Ref1

Type / Role: n8n-nodes-base.noOp - noOp
Config choices: Version 1

Block 20 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 21 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 22 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 23 - Sticky Note3

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 24 - Sticky Note4

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Showing the first 24 of 51 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow	Ai data extraction with dynamic prompts and Airtable
Complexity	advanced
Nodes	51
Categories	HR, AI Summarization
Author	Jimleuk
Published	21 Jan 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/2771/2771.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source HR workflows AI Summarization workflows

Frequently asked questions

What does Ai data extraction with dynamic prompts and Airtable do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your HR, AI Summarization use case.

Jimleuk

100 workflows

Nodes

n8n-nodes-base.switch n8n-nodes-base.code n8n-nodes-base.httprequest n8n-nodes-base.extractfromfile n8n-nodes-base.set n8n-nodes-base.splitinbatches n8n-nodes-base.noop @n8n/n8n-nodes-langchain.chainllm

Complexity

advanced

Published 21 Jan 2025

Likes 0

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Install path: /data/workflows/2771/2771.json

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Ai data extraction with dynamic prompts and Airtable

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

How it works

How to use

Requirements

Customising this workflow

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Event Type

Block 2 - Get Prompt Fields

Block 3 - Get File Data

Block 4 - Extract from File

Block 5 - Get Result

Block 6 - Loop Over Items

Block 7 - Row Reference

Block 8 - Generate Field Value

Block 9 - Fields to Update

Block 10 - Loop Over Items1

Block 11 - Row Ref

Block 12 - Get File Data1

Block 13 - Extract from File1

Block 14 - Get Result1

Block 15 - Generate Field Value1

Block 16 - Filter Valid Rows

Block 17 - Filter Valid Fields

Block 18 - Event Ref

Block 19 - Event Ref1

Block 20 - Sticky Note

Block 21 - Sticky Note1

Block 22 - Sticky Note2

Block 23 - Sticky Note3

Block 24 - Sticky Note4

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions