Automate CV Parsing and Airtable Storage with OpenAI
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This workflow automates the extraction of CV data from uploaded PDFs, processes it using OpenAI's language models for structured output, and saves the parsed information to Airtable. It streamlines the job application process by converting unstructured CV data into organized records.
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About This Workflow
Overview
This n8n workflow is designed to automate the process of collecting and organizing job applications. It begins with a form trigger (Step 1 of 2 - Upload CV) that allows applicants to submit their CVs. The uploaded PDF file is then processed by the Extract from File node to extract its content. This extracted text is fed into an OpenAI Chat Model (OpenAI Chat Model2) to classify the document, ensuring it's a CV. If classified as a CV, another OpenAI Chat Model (OpenAI Chat Model1) is used to parse the CV's content into a structured JSON format based on a predefined schema, capturing details like Name, Address, Email, Education, Skills, Experience, and a Cover Letter. A Structured Output Parser node ensures the output adheres to the defined schema. Finally, the parsed data is saved to an Airtable base using the Save to Airtable node, and the original PDF file is also attached to the Airtable record via the Upload File to Record node. A Form Success node provides a confirmation message to the applicant.
Key Features
- Collects CVs via a user-friendly form.
- Extracts text content from uploaded PDF CVs.
- Utilizes OpenAI to classify the document type (CV).
- Leverages OpenAI to parse unstructured CV data into a structured JSON format.
- Automatically saves parsed CV details to an Airtable database.
- Attaches the original CV PDF file to the Airtable record.
- Provides a success confirmation message to the applicant.
How To Use
- Configure the
Step 1 of 2 - Upload CVnode with your desired form title, description, and fields. Ensure the file upload field accepts PDF files. - Set up your OpenAI API credentials in n8n and configure the
OpenAI Chat Model1andOpenAI Chat Model2nodes with appropriate prompts and models. - Define the
inputSchemain theStructured Output Parsernode to match the fields you want to extract from the CV. - Connect your Airtable account and configure the
Save to Airtablenode with your Base ID and Table ID. Map the extracted fields to the corresponding Airtable columns. - Configure the
Upload File to Recordnode to attach the CV file to the Airtable record. - Set up the
Form Successnode to display a confirmation message to applicants upon successful submission.
Apps Used
Workflow JSON
{
"id": "72a89ce2-4162-4ef8-95d0-c06085e3c720",
"name": "Automate CV Parsing and Airtable Storage with OpenAI",
"nodes": 0,
"category": "Data Management & Automation",
"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: 72a89ce2-4162...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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