Automate Job Application Data Extraction with AI
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Streamline your hiring process by automatically extracting key information from CVs. This workflow uses n8n and OpenAI to parse candidate data from uploaded PDFs and store it directly into Airtable.
About This Workflow
This n8n workflow revolutionizes how you manage job applications. It begins with a user-friendly form where candidates can upload their CVs. The workflow then leverages the power of AI, specifically OpenAI's chat models, to intelligently extract crucial information like Name, Address, Email, Telephone, Education, Skills, Years of Experience, and even generate a preliminary Cover Letter. Finally, all this structured data is seamlessly saved into an Airtable base, creating a centralized and organized database of your applicants. This significantly reduces manual data entry and speeds up your recruitment pipeline.
Key Features
- Intuitive Candidate Portal: A simple web form for easy CV submission.
- AI-Powered Data Extraction: Utilizes OpenAI to accurately pull out key candidate details.
- Structured Data Output: Parses extracted information into a predefined schema for consistency.
- Seamless Airtable Integration: Automatically saves applicant data into your Airtable base.
- Automated Cover Letter Generation: AI assists in drafting personalized cover letters.
How To Use
- Configure Form Trigger: Set up the
Step 1 of 2 - Upload CVnode with your desired form title, description, and fields, including the file upload for PDFs. - Extract PDF Data: Connect the
Extract from Filenode to the Form Trigger to process the uploaded PDF documents. - AI Data Parsing: Utilize the
OpenAI Chat Modelnodes and theStructured Output Parserto define the schema and extract specific fields from the CV text. - Airtable Integration: Configure the
Save to Airtablenode by selecting your Airtable base and table, and mapping the extracted data fields to your Airtable columns. - Credentials Setup: Ensure your OpenAI API key and Airtable API credentials are correctly set up within n8n.
Apps Used
Workflow JSON
{
"id": "634beac7-3db8-45ea-8027-d470f5a01c45",
"name": "Automate Job Application Data Extraction with AI",
"nodes": 17,
"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: 634beac7-3db8...
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