Automate job application screening with AI analysis
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Workflow Description
Workflow that receives job applications through a web form, extracts candidate data from attachments, analyzes qualifications using OpenAI and LLM Chain, classifies applications automatically, and stores structured results in Airtable for recruitment teams.
How it works
- 1.Receive job applications via web form with resume attachments
- 2.Extract text and structured data from CVs and documents
- 3.Analyze candidate qualifications and experience using OpenAI models
- 4.Automatically classify applications into tiers (qualified, review needed, rejected)
- 5.Store evaluation results and scores in Airtable database
Use cases
- HR departments and recruitment firms handling hundreds of applications monthly
- Reduce application screening time from hours to minutes
- Identify top candidates objectively based on skill matching
Requirements
- OpenAI API key configured in n8n
- Airtable account with prepared job application base
- Active web form trigger to receive submissions
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 (15)
Extract from File
Extract From File
OpenAI Chat Model1
OpenAI
Structured Output Parser
Output Parser Structured
OpenAI Chat Model2
OpenAI
Step 1 of 2 - Upload CV
Form Trigger
Save to Airtable
Airtable
Classify Document
If
Upload File to Record
HTTP Request
Form Success
Form
Save to Airtable1
Airtable
Step 2 of 2 - Application Form
Form Trigger
Sticky Note
Sticky Note
Sticky Note1
Sticky Note
Sticky Note2
Sticky Note
Application Suitability Agent
LLM Chain
Sticky Note3
Sticky Note
Sticky Note4
Sticky Note
Sticky Note5
Sticky Note
File Upload Retry
Form
Redirect To Step 2 of 2
Form
Sticky Note6
Sticky Note
Sticky Note7
Sticky Note
Submission Success
Form
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