AI Resume Parser and Developer Profile Analyzer - n8n Workflow

• Technical Recruiters and HR Professionals managing high-volume applications.


• Startups and Hiring Managers seeking automated technical skill assessment.


• Teams looking to centralize candidate data efficiently using an n8n workflow.


• Developers interested in customizing n8n templates for advanced data processing.

The challenge in technical hiring is manually extracting structured data from diverse resume formats and cross-referencing that data with external professional profiles like GitHub. This n8n workflow solves this by creating a hands-free, scalable intelligence pipeline.

Using an n8n trigger, it instantly processes incoming applications. VLM Run handles the complex task of AI resume parsing. Crucially, the n8n workflow then performs deep GitHub analysis, calculating experience, identifying language distributions (JavaScript, Python, C++, etc.), and counting total stars/forks. This comprehensive profile is then automatically logged into Google Sheets and instantly shared with the team via Slack, ensuring timely follow-up and data integrity. This specific n8n template dramatically reduces manual labor and speeds up time-to-hire.

This automation initiates with the 'Monitor Gmail for Resumes' n8n trigger, which constantly checks for new emails containing attachments.

1. Resume Intake: The Gmail n8n trigger captures the email and downloads the resume attachment (PDF/DOCX).


2. AI Parsing: The 'Parse Resume with VLM Run' n8n node takes the attachment and extracts key fields (name, email, phone, GitHub URL, etc.) into a structured JSON object.


3. Conditional Logic: The 'Check for Github Profile' If n8n node verifies if a GitHub URL was successfully extracted.


4. GitHub Analysis (If True): If a URL exists, the workflow uses Code and HTTP Request n8n nodes to extract the username, fetch public profile data, and analyze all public repositories. Custom Code n8n nodes calculate GitHub account age (experience), framework usage, and aggregate metrics like total stars and forks.


5. Data Consolidation: Whether GitHub analysis was performed or skipped, the 'Flatten Response' Code n8n node merges the initial resume data with the collected GitHub metrics, creating a single, rich candidate profile item.


6. Output & Storage: The consolidated data is immediately appended to the 'Save to Google Sheet' n8n node, creating a searchable database.


7. Team Notification: The 'Send Slack Notification' n8n node alerts the hiring team with a summary.


8. Candidate Acknowledgement: Finally, the 'Send Acknowledgement Email' Gmail n8n node sends a professional confirmation back to the applicant.

To deploy this powerful n8n workflow, follow these setup steps:

1. Import: Copy the entire JSON code and paste it into your n8n canvas using the 'New' -> 'Import from JSON' option.


2. Credentials Setup:

1. Google Sheet Configuration: Ensure you have a target Google Sheet created with columns matching the data mapping defined in the 'Save to Google Sheet' n8n node (e.g., Name, Email, GitHub Experience, Python Projects, etc.).


2. Activation: Once all credentials are linked and the necessary parameters (like Google Sheet ID and Slack Channel) are updated, activate the n8n workflow.

Monitor Gmail for Resumes (Gmail Trigger n8n trigger):
Function: Starts the n8n workflow upon receiving a new email. Essential for initiating the automated process.
Key Configuration: Configured to poll every minute and crucially, downloadAttachments is set to true to retrieve the resume file.
Parse Resume with VLM Run (VLM Run n8n node):
Function: Uses AI (VLM Run) to perform highly accurate optical character recognition and structured data extraction from the resume attachment, specifically targeting the document.resume domain.
Key Configuration: file set to attachment0 (the first downloaded attachment); domain set to document.resume.
Check for Github Profile (If n8n node):
Function: Directs the flow based on whether the VLM Run parsing extracted a GitHub URL from the resume.
Key Configuration: Checks if {{ $json.response.contactinfo.github }} exists.
Analyze Repository Data (Code n8n node):
Function: Custom JavaScript logic that iterates through the list of GitHub repositories, calculating total stars, total forks, and counting the primary language and known frameworks (e.g., React, Django, Docker) based on repository descriptions and topics. This demonstrates the power of a custom n8n node implementation.
Flatten Response (Code n8n node):
Function: Merges the data from three upstream sources (VLM Run data, GitHub Profile data, and GitHub Repository data) into a single, comprehensive JSON object for simplified output mapping.
Save to Google Sheet (Google Sheets n8n node):
Function: Stores the final structured candidate profile, including technical metrics, into a centralized tracking spreadsheet.
Key Configuration: Operation set to appendOrUpdate; maps specific fields like C++ Projects, GitHub Experience, and Github follower count directly from the flattened JSON output.
Send Acknowledgement Email (Gmail n8n node):
Function: Provides good candidate experience by sending an automated, personalized response to the applicant's extracted email address.