AI-Powered CV Screening & Applicant Tracking with Airtable
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Automate your job application process from submission to data entry with this n8n workflow. It utilizes AI to extract key information from uploaded CVs, structures the data, and automatically saves it to Airtable, significantly reducing manual screening time.
About This Workflow
Revolutionize your recruitment pipeline with this intelligent workflow designed for modern HR teams. Candidates submit their CVs via a custom web form. The system then automatically extracts vital information from the PDF using advanced AI, including contact details, education, skills, experience, and even generates a cover letter summary. This structured data is then seamlessly pushed into your Airtable base, creating a streamlined applicant tracking system without a single line of code. Say goodbye to manual data entry and hello to efficient, AI-powered candidate screening.
Key Features
- Customizable Web Form: Easily collect applicant information and CVs with a branded, multi-step web form.
- AI-Powered PDF Extraction: Automatically extracts text content from uploaded PDF CVs using a powerful 'Extract from File' node.
- Intelligent Data Parsing with OpenAI: Leverages OpenAI's chat models to analyze CV content and structure it into predefined fields like Name, Email, Skills, Education, and Years of Experience.
- Automated Cover Letter Summary: The AI can even generate a 'Cover Letter' summary based on the CV's content, providing quick insights.
- Seamless Airtable Integration: Stores all parsed and structured applicant data directly into your designated Airtable base and table, creating an instant applicant database.
How To Use
- Configure the Form Trigger: Customize the 'Step 1 of 2 - Upload CV' form with your company's branding, required fields, and terms of service. Ensure the file upload field is set for PDF documents.
- Set Up OpenAI Credentials: Connect your OpenAI API key to both 'OpenAI Chat Model' nodes. These are essential for the AI-powered text analysis and parsing.
- Review AI Output Schema: Examine the 'Structured Output Parser' node's
inputSchemato understand the data fields being extracted. Adjust this JSON schema if you need to capture additional specific information from CVs. - Connect Your Airtable Base: Link your Airtable account to the 'Save to Airtable' node. Select your desired Base (e.g., 'Job Applications with AI & Forms') and the specific table where you want to store applicant data.
- Map Airtable Columns: In the 'Save to Airtable' node, map the extracted data from the 'Structured Output Parser' (e.g.,
{{ $json.output.Name }}) to the corresponding columns in your Airtable table (e.g., 'Name', 'Email', 'Skills & Technologies').
Apps Used
Workflow JSON
{
"id": "857882e4-ba49-40ed-9883-6230de862f34",
"name": "AI-Powered CV Screening & Applicant Tracking with Airtable",
"nodes": 8,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 857882e4-ba49...
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