Block 1 - When clicking ‘Execute workflow’
- Type / Role
- n8n-nodes-base.manualTrigger - manualTrigger
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
1. Who this is for This workflow is specifically designed for Recruiters, HR analytics teams, and data driven talent acquisition professionals seeking deeper insights from candidate resume. Valuabl...
n8n-nodes-base.manualtrigger, n8n-nodes-base.stickynote, @decodo/n8n-nodes-decodo.decodo, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.chainllm, n8n-nodes-base.merge, n8n-nodes-base.googlesheets, @n8n/n8n-nodes-langchain.lmchatopenai
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Ranjan Dailata.
Original n8n.io sourceThis workflow is specifically designed for
Recruiters often face information overload when analyzing candidate resume manually reviewing experiences, skills, and cultural fit is slow and inconsistent.
Traditional scraping tools extract raw data but fail to produce actionable intelligence like career trajectory, skills alignment, and fit for a role.
This workflow solves that by:
This n8n workflow combines Decodo’s web scraping with OpenAI GPT-4o-mini to produce advanced recruitment intelligence.
– Performs:
The result is a data-enriched candidate intelligence report far beyond what traditional resume parsing provides.
If you are new to Decode, please signup on this link visit.decodo.com
Make sure to install the Decodo Community node.
Import the workflow JSON into your n8n workspace.
Set credentials for:
Decodo Credentials accountOpenAI API (GPT-4o-mini)Google Sheets OAuth2In the “Set the Input Fields” node, update:
url → Resume linkgeo → Candidate region or countryjobDescription → Target job description for matchingEnsure the Google Sheet ID and tab name are correct in the “Append or update row in sheet” node.
Click Execute Workflow to start.
You can adapt this workflow for different recruitment or analytics scenarios:
Add another LLM node to perform sentiment analysis on candidate recommendations or feedback notes.
Use additional Decodo nodes or APIs (Indeed, Glassdoor, etc.) to compare candidate profiles to live job postings.
Insert a Function Node to compute a numerical "fit score" by comparing skill vectors and job requirements.
Connect to Gmail, Slack, or Notion nodes to automatically send summaries or reports to hiring managers.
The Advanced Resume Intelligence & Data Mining via Decodo + OpenAI GPT-4o-mini workflow transforms traditional candidate sourcing into AI-driven intelligence gathering.
It integrates:
With this system, recruiters and HR analysts can move from data collection to decision intelligence, unlocking faster and smarter talent insights.
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 | Resume intelligence and data mining using Decodo with GPT-4o-mini |
|---|---|
| Complexity | advanced |
| Nodes | 19 |
| Categories | HR, AI RAG |
| Author | Ranjan Dailata |
| Published | 19 Oct 2025 |
Use the JSON export at /data/workflows/9878/9878.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.
1. Who this is for This workflow is specifically designed for Recruiters, HR analytics teams, and data driven talent acquisition professionals seeking deeper insights from candidate resume. Valuabl...
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 RAG use case.