Airtable automation
Workflow Description
An intelligent automation workflow that connects Airtable with OpenAI language models to automatically analyze, classify, and update records without manual intervention. It includes structured data processing and intelligent filtering based on specific criteria.
How it works
- 1.Activate the manual trigger to start the workflow execution
- 2.Extract data from Airtable tables and send it for processing
- 3.Call OpenAI model to analyze content or perform intelligent classification
- 4.Parse and structure the model's response into organized data
- 5.Apply filters to retain only relevant data based on conditions
- 6.Update Airtable records with the final results
Use cases
- Automatically categorize emails and notes by topic, priority, or sentiment
- Extract key information from unstructured text and store it in organized Airtable bases
Requirements
- Active Airtable account with configured tables ready to receive processed data
- OpenAI API key to access GPT models
- Clear definition of the desired output format from the language model
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Details
How to Use
- 1.Click "Download Template"
- 2.Open your n8n dashboard
- 3.Go to Workflows > Import from File
- 4.Select downloaded file and configure credentials
Nodes Used (20)
When clicking ‘Test workflow’
Manual Trigger
Sticky Note
Sticky Note
Split Out
Split Out
Sticky Note1
Sticky Note
OpenAI Chat Model
OpenAI
Structured Output Parser
Output Parser Structured
Search for Who is hiring posts
HTTP Request
Get relevant data
Set
Get latest post
Filter
Split out children (jobs)
Split Out
Trun into structured data
LLM Chain
Sticky Note2
Sticky Note
Extract text
Set
Clean text
Code
Limit for testing (optional)
Limit
Sticky Note3
Sticky Note
Write results to airtable
Airtable
Sticky Note4
Sticky Note
HI API: Get the individual job post
HTTP Request
HN API: Get Main Post
HTTP Request