Block 1 - Receive Application via Webhook
- Type / Role
- n8n-nodes-base.webhook - webhook
- Config choices
- Version 2.1
How it works This workflow automates candidate screening by receiving application data via a webhook and structuring it for AI evaluation. An AI agent analyzes the candidate profile and assigns a s...
n8n-nodes-base.webhook, n8n-nodes-base.set, n8n-nodes-base.googlesheets, n8n-nodes-base.if, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatgroq, n8n-nodes-base.code, n8n-nodes-base.switch
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Avkash Kakdiya.
Original n8n.io sourceThis workflow automates candidate screening by receiving application data via a webhook and structuring it for AI evaluation. An AI agent analyzes the candidate profile and assigns a score with reasoning. The score is extracted and evaluated against a threshold to decide if the candidate is shortlisted or rejected. Based on the result, the workflow either stores the candidate in Google Sheets and sends a success email or sends a rejection email.
Receive and structure application data
Webhook1 – Receives job and candidate data from external sources.
Edit Fields1 – Formats and organizes job and candidate information into structured fields.
Evaluate candidate with AI
AI Agent – Sends structured data to AI for scoring and evaluation.
Groq Chat Model1 – Provides the language model used for generating candidate score and reasoning.
Code in JavaScript – Extracts score and reason from AI response for further processing.
Filter, store and notify results
If – Checks if the candidate score meets the defined threshold.
Append row in sheet – Stores shortlisted candidate details in Google Sheets.
Send a message3 – Sends a shortlisted confirmation email to the candidate.
Send a message1 – Sends a rejection email if the candidate does not qualify.
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.
| Workflow | Screen job applicants with Groq llama-3.3-70b and send outcomes via Gmail |
|---|---|
| Complexity | advanced |
| Nodes | 18 |
| Categories | HR, AI Summarization |
| Author | Avkash Kakdiya |
| Published | 06 Apr 2026 |
Use the JSON export at /data/workflows/14772/14772.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
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.
How it works This workflow automates candidate screening by receiving application data via a webhook and structuring it for AI evaluation. An AI agent analyzes the candidate profile and assigns a s...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
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.