Resume Screener from Gmail to Sheets (Automated Resume Screening Workflow)

This workflow automates the process of retrieving new emails with attachments from Gmail, extracting text from resume PDFs, using AI for intelligent analysis to score the resumes, and extracting key information about candidates. Finally, it organizes the results and inputs them into Google Sheets. By automating these processes, it significantly enhances recruitment efficiency, reduces manual operations, and optimizes data management, making it suitable for recruitment teams and HR departments, while improving the accuracy and convenience of resume screening.

Workflow Diagram
Resume Screener from Gmail to Sheets (Automated Resume Screening Workflow) Workflow diagram

Workflow Name

Resume Screener from Gmail to Sheets (Automated Resume Screening Workflow)

Key Features and Highlights

This workflow automates the process of retrieving new emails with attachments from Gmail, extracting text content from resume PDFs, and leveraging an intelligent AI agent powered by the OpenAI GPT-4o-mini model to analyze and score resumes. It automatically extracts candidates’ names, email addresses, and LinkedIn information, then compiles and appends all results into a Google Sheets spreadsheet. The entire process streamlines resume screening, significantly enhancing recruitment efficiency and simplifying data management.

Core Problems Addressed

  • Manual downloading and opening of resume attachments is cumbersome and prone to missing emails
  • Resume information extraction and scoring are subjective and time-consuming
  • Data is scattered, making unified management and analysis difficult
  • Recruitment teams struggle to quickly access key candidate information and screening results

Application Scenarios

  • Automated screening of large volumes of resumes by recruitment teams to quickly identify top candidates
  • HR departments optimizing resume processing workflows to save time and reduce labor costs
  • Any scenario requiring extraction of structured information from email attachments combined with intelligent evaluation

Main Workflow Steps

  1. Trigger Node: Monitor Gmail inbox for new unread emails with attachments
  2. Resume Text Extraction: Automatically download PDF attachments and extract text content
  3. Intelligent Resume Analysis: Invoke an AI agent based on GPT-4o-mini to analyze resume content, extract name, email, LinkedIn link, and provide a score based on resume details
  4. Structured Output Parsing: Convert AI output into structured data format
  5. Data Storage: Append candidate information and scoring results into Google Sheets for easy review and management

Involved Systems or Services

  • Gmail (email triggering and attachment downloading)
  • PDF text extraction node
  • OpenAI Chat model (GPT-4o-mini)
  • LangChain AI agent and structured output parsing node
  • Google Sheets (data storage and management)

Target Users and Value

  • Recruiters and HR teams looking to improve resume screening efficiency and reduce repetitive tasks
  • Organizations pursuing digital transformation of human resources
  • Business scenarios requiring automated processing of email attachments and extraction of structured information
  • Organizations aiming to enhance recruitment quality through AI-assisted decision-making

By seamlessly integrating email, AI-powered intelligent analysis, and cloud data storage, this workflow delivers a one-stop automated resume screening solution that helps enterprises efficiently and accurately manage talent resources.