Screen CVs and score candidates with Gmail, Google Drive, OpenAI, and Sheets

Open on n8n.io

$20/month : Unlimited workflows

2500 executions/month

Try free

THE #1 IN WEB SCRAPING

Scrape any website without limits

Try free

HOSTINGER

Early Deal
DISCOUNT 20%

Self-hosted n8n

Unlimited workflows - from $4.99/mo

Try free

#1 hub for scraping, AI & automation

6000+ actors - $5 credits/mo

Try free

1. Workflow Overview

Who's it for This template is for HR teams, recruiters, and companies that receive job applications via email and want to automatically screen and evaluate candidates using AI. Ideal for organisati...

Best for

HR automation workflows
AI Summarization automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.set, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.outputparserstructured, @n8n/n8n-nodes-langchain.informationextractor, n8n-nodes-base.stickynote, n8n-nodes-base.googledrive, n8n-nodes-base.googlesheets

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Stefan Joulien.

Original n8n.io source

1.1 Workflow description

Title: Screen CVs and score candidates with Gmail, Google Drive, OpenAI, and Sheets
Workflow name: Screen CVs and score candidates with Gmail, Google Drive, OpenAI, and Sheets

Who's it for

This template is for HR teams, recruiters, and companies that receive job applications via email and want to automatically screen and evaluate candidates using AI. Ideal for organisations processing a high volume of resumes who want to reduce manual screening time.

How it works

When a candidate emails their CV, the workflow triggers automatically:

Gmail detects the incoming application and uploads the CV attachment to Google Drive
A Switch node identifies the file type (PDF, DOCX, or TXT) and routes it to the appropriate extraction method
The full text content of the resume is extracted and standardised into a clean format
An AI recruiter agent powered by OpenAI evaluates the candidate's strengths, weaknesses, skills, and potential contribution to the company
The candidate is assigned a suitability score from 1 to 10
A Structured Output Parser extracts the key evaluation data and saves it to Google Sheets for the hiring team to review

How to set up

Connect your Gmail account to the Gmail Trigger node
Connect your Google Drive account and set the destination folder for incoming CVs
Connect your OpenAI account to the AI model node
Connect your Google Sheets account and configure the candidate tracking sheet
Customise the Recruiter Agent prompt to match your job role and evaluation criteria

Requirements

Gmail account
Google Drive account
OpenAI API key
Google Sheets account

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Standardize

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 2 - Recruiter Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2

Block 3 - OpenAI Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.2

Block 4 - Structured Output Parser

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.2

Block 5 - Information Extractor

Type / Role: @n8n/n8n-nodes-langchain.informationExtractor - informationExtractor
Config choices: Version 1.1

Block 6 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 7 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 8 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 9 - Sticky Note3

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 10 - Sticky Note4

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 11 - Sticky Note5

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 12 - New CV

Type / Role: n8n-nodes-base.googleDrive - googleDrive
Config choices: Version 3

Block 13 - saves CV in folder

Type / Role: n8n-nodes-base.googleDrive - googleDrive
Config choices: Version 3

Block 14 - new candidate created

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.6

Block 15 - On New Candidate Email

Type / Role: n8n-nodes-base.gmailTrigger - gmailTrigger
Config choices: Version 1.2

Block 16 - Extract Text from Docx

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 17 - Download Word File

Type / Role: n8n-nodes-base.googleDrive - googleDrive
Config choices: Version 3

Block 18 - Download PDF File

Type / Role: n8n-nodes-base.googleDrive - googleDrive
Config choices: Version 3

Block 19 - Download TXT File

Type / Role: n8n-nodes-base.googleDrive - googleDrive
Config choices: Version 3

Block 20 - Parse Word Content

Type / Role: n8n-nodes-base.extractFromFile - extractFromFile
Config choices: Version 1

Block 21 - Parse PDF Content

Type / Role: n8n-nodes-base.extractFromFile - extractFromFile
Config choices: Version 1

Block 22 - Parse Text Content

Type / Role: n8n-nodes-base.extractFromFile - extractFromFile
Config choices: Version 1

Block 23 - Route by File Type

Type / Role: n8n-nodes-base.switch - switch
Config choices: Version 3.2

Block 24 - Extract Final Text

Type / Role: n8n-nodes-base.extractFromFile - extractFromFile
Config choices: Version 1

3. Summary Table

Workflow	Screen CVs and score candidates with Gmail, Google Drive, OpenAI, and Sheets
Complexity	advanced
Nodes	24
Categories	HR, AI Summarization
Author	Stefan Joulien
Published	09 Mar 2026

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/13970/13970.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source HR workflows AI Summarization workflows

Frequently asked questions

What does Screen CVs and score candidates with Gmail, Google Drive, OpenAI, and Sheets do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your HR, AI Summarization use case.

Stefan Joulien

5 workflows

Nodes

n8n-nodes-base.set @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.lmchatopenai @n8n/n8n-nodes-langchain.outputparserstructured @n8n/n8n-nodes-langchain.informationextractor n8n-nodes-base.stickynote n8n-nodes-base.googledrive n8n-nodes-base.googlesheets

Complexity

advanced

Published 09 Mar 2026

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/13970/13970.json

Share Your Workflow

Have a useful automation to share? Publish it and help the community.

Submit Your Template How to Submit

Related Workflows

Manage employee offboarding with Google Workspace, Slack, HubSpot and Notion

## Quick Overview This workflow receives an HR offboarding webhook, validates and enriches the employee record, suspends the user in Google Workspace, deactivates the user in Slack, looks up the matching HubSpot contact, logs the event to Notion and Google Sheets, and notifies HR/IT via Gmail and Slack. ## How it works 1. Receives a POST webhook from the HR system with employee offboarding details. 2. Parses the payload to normalize key fields (name, email, department, manager, last day) and flags invalid requests. 3. Posts an alert to a Slack IT channel when the record is invalid and stops further processing. 4. Enriches valid records with an offboarding ID, risk level, revocation deadline, and an actions summary. 5. Suspends the employee in Google Workspace via the Admin Directory API, deactivates the user in Slack via the Slack API, searches for the contact in HubSpot, and creates an offboarding entry in a Notion database. 6. Combines the revocation results and appends a compliance log row to a Google Sheets “Offboarding Log” tracker. 7. Emails an offboarding completion summary to the manager and HR using Gmail and posts a completion digest to the Slack IT channel. ## Setup 1. Copy the n8n webhook URL from the HR offboarding webhook trigger and configure your HR system to POST the offboarding payload to it. 2. Provide credentials/tokens for the Google Admin Directory API and Slack API (both used via HTTP requests) and replace the placeholder Bearer tokens in the request headers. 3. Add a HubSpot App Token credential with access to search contacts. 4. Create a Notion database for offboarding logs, add a Notion API integration, and set the Notion database ID and API key in the Notion request. 5. Add Google Sheets OAuth credentials, set your Google Sheet ID, and ensure the “Offboarding Log” sheet contains the columns mapped in the append step. 6. Add a Gmail connection for sending summary emails and set the target Slack channel ID for the invalid-record alert and IT ops digest messages.

View

Send AI interview briefs from resumes with GPT-4o-mini, Google Sheets and Gmail

## Quick Overview This workflow runs every 15 minutes to read candidate rows from Google Sheets, download each resume PDF from Google Drive, extract text, generate an HTML interview brief using OpenAI GPT-4o-mini, email it via Gmail to the interviewer, and mark the row as Processed to avoid duplicates. ## How it works 1. Runs on a schedule trigger every 15 minutes. 2. Reads all candidate rows from the “Candidates” tab in Google Sheets and processes them one at a time. 3. Skips any rows where the Status column is already set to “Processed.” 4. Extracts the Google Drive file ID from the resume link, downloads the PDF, and converts it to plain text. 5. Cleans and truncates the resume text and combines it with the candidate’s name, role, and email details. 6. Sends the resume text and metadata to OpenAI (GPT-4o-mini) to generate a styled HTML interviewer brief. 7. Emails the HTML brief to the interviewer via Gmail and updates the candidate row in Google Sheets to “Processed,” then waits 5 seconds before moving to the next candidate. ## Setup 1. Add Google Sheets OAuth credentials and replace `YOUR_CANDIDATES_SHEET_ID`, then create a “Candidates” sheet with columns Name, Email, Job Role, Resume Drive Link, Interviewer Email, and Status. 2. Add Google Drive OAuth credentials and ensure each resume PDF is accessible to the workflow (for example, shared so the connected account can view it). 3. Add an OpenAI API credential and keep the model set to GPT-4o-mini. 4. Add Gmail OAuth credentials and confirm the sender name and subject line meet your email requirements. 5. Adjust the schedule interval if you want the workflow to check for new candidates more or less frequently.

View

Provision new hire IT accounts with Google Workspace, Slack, and Gmail

## Quick Overview This workflow receives new-hire records via a webhook, validates and normalizes the data, then provisions a Google Workspace account, creates an onboarding task in Google Tasks, notifies the IT team in Slack, emails the hiring manager via Gmail, and logs the run to Google Sheets. ## How it works 1. Receives a new hire payload from the HR system through an HTTP webhook endpoint. 2. Parses the payload, standardizes key fields (name, department, manager, start date), and skips records missing required identity data. 3. If the record is invalid, posts a Slack message to the IT channel for manual review and stops processing. 4. For valid hires, generates a company email address, username, temporary password, ticket title, and a target ready-by date. 5. Creates the new user in the Google Admin Directory (Google Workspace) and opens an IT onboarding checklist as a Google Tasks task. 6. Posts a provisioning summary to the IT Slack channel, emails the manager a day-one checklist via Gmail, and appends the provisioning details to a Google Sheets log. ## Setup 1. Configure your HR system (or source app) to send a POST request to the workflow webhook path `/hr/new-hire` using the production webhook URL. 2. Add Google credentials with access to the Admin SDK Directory API (for user creation), Google Tasks, Gmail, and Google Sheets, and ensure the account has the required admin permissions. 3. Add Slack credentials, set the target channel ID for IT onboarding notifications, and update the channel selection if needed. 4. Update the email domain in the generated address (currently `@yourcompany.com`) and confirm how departments map to Google Workspace org unit paths. 5. Set your Google Sheets document ID and ensure it contains (or can create) a sheet named "Provisioning Log" with matching columns for the appended fields.

View

Need Custom Automation?

Get help designing a custom n8n workflow that connects your stack and fits your process.

Screen CVs and score candidates with Gmail, Google Drive, OpenAI, and Sheets

Workflow preview

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Who's it for

How it works

How to set up

Requirements

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Standardize

Block 2 - Recruiter Agent

Block 3 - OpenAI Chat Model

Block 4 - Structured Output Parser

Block 5 - Information Extractor

Block 6 - Sticky Note

Block 7 - Sticky Note1

Block 8 - Sticky Note2

Block 9 - Sticky Note3

Block 10 - Sticky Note4

Block 11 - Sticky Note5

Block 12 - New CV

Block 13 - saves CV in folder

Block 14 - new candidate created

Block 15 - On New Candidate Email

Block 16 - Extract Text from Docx

Block 17 - Download Word File

Block 18 - Download PDF File

Block 19 - Download TXT File

Block 20 - Parse Word Content

Block 21 - Parse PDF Content

Block 22 - Parse Text Content

Block 23 - Route by File Type

Block 24 - Extract Final Text

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions