AI Agents

Intelligent data extraction with dynamic prompts into Airtable

51 nodes 234 164 Webhook
Download

Workflow Description

Advanced automation that receives data via webhook, processes it in batches, and sends dynamic prompts to OpenAI for intelligent information extraction. Results are automatically filtered and stored in Airtable for review and analysis.

How it works

  1. 1.Receive incoming data via webhook and split it into manageable batches for processing
  2. 2.Generate dynamic prompts and send them to OpenAI for intelligent content analysis
  3. 3.Filter relevant results and automatically save extracted data to Airtable tables

Use cases

  • Extract customer information from unstructured documents and organize it systematically
  • Analyze large datasets with varying criteria efficiently and automatically
  • Gather insights from multiple text sources and store them organized in a database

Requirements

  • Valid OpenAI API key with sufficient quota for batch processing
  • Airtable account with pre-configured tables ready to receive extracted data
  • Webhook endpoint access to trigger and run the automation workflow

Service Value

Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.

Apps Used

Split In Batches LLM Chain OpenAI Airtable

Details

Trigger Webhook
Nodes 51
Apps 4
Views 234
Downloads 164

How to Use

  1. 1.Click "Download Template"
  2. 2.Open your n8n dashboard
  3. 3.Go to Workflows > Import from File
  4. 4.Select downloaded file and configure credentials

Nodes Used (51)

/

Event Type

Switch

#1

Get Prompt Fields

Code

#2

Get File Data

HTTP Request

#3

Extract from File

Extract From File

#4

Get Result

Set

#5

Loop Over Items

Split In Batches

#6

Row Reference

No Op

#7

Generate Field Value

LLM Chain

#8

Fields to Update

Code

#9

Loop Over Items1

Split In Batches

#10

Row Ref

No Op

#11

Get File Data1

HTTP Request

#12

Extract from File1

Extract From File

#13

Get Result1

Set

#14

Generate Field Value1

LLM Chain

#15

Filter Valid Rows

Filter

#16

Filter Valid Fields

Filter

#17

Event Ref

No Op

#18

Event Ref1

No Op

#19

Sticky Note

Sticky Note

#20

Sticky Note1

Sticky Note

#21

Sticky Note2

Sticky Note

#22

Sticky Note3

Sticky Note

#23

Sticky Note4

Sticky Note

#24

Sticky Note5

Sticky Note

#25

Sticky Note7

Sticky Note

#26

Sticky Note8

Sticky Note

#27

Sticky Note9

Sticky Note

#28

Sticky Note10

Sticky Note

#29

Sticky Note11

Sticky Note

#30

OpenAI Chat Model

OpenAI

#31

Sticky Note12

Sticky Note

#32

OpenAI Chat Model1

OpenAI

#33

Sticky Note13

Sticky Note

#34

Sticky Note6

Sticky Note

#35

Get Webhook Payload

HTTP Request

#36

Parse Event

Code

#37

Get Table Schema

Airtable

#38

Fetch Records

Airtable

#39

Update Row

Airtable

#40

Get Row

Airtable

#41

Add Row ID to Payload

Set

#42

Update Record

Airtable

#43

Airtable Webhook

Webhook

#44

When clicking ‘Test workflow’

Manual Trigger

#45

Set Airtable Vars

Set

#46

Get Table Schema1

Airtable

#47

Get "Input" Field

Set

#48

RecordsChanged Webhook

HTTP Request

#49

FieldsChanged Webhook

HTTP Request

#50

Sticky Note14

Sticky Note

#51

Similar Templates

Automated workflow

11 nodes

Jira Automation

27 nodes

Generate intelligent OpenAI responses and send them to Discord

9 nodes

Extract Drive documents and automatically schedule Calendar events

28 nodes

Intelligent Data Processing in Google Sheets with AI

11 nodes

YouTube video analyzer with AI

21 nodes