Block 1 - Search Job Posting
- Type / Role
- n8n-nodes-base.airtable - airtable
- Config choices
- Version 2.1
This workflow is provided as-is. Please review and test before using in production.
Who is this for? This workflow is ideal for: HR professionals and recruiters who want to automate and enhance the hiring process Organizations seeking AI driven, consistent, and data backed candida...
n8n-nodes-base.airtable, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.outputparserstructured, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.set, n8n-nodes-base.merge, n8n-nodes-base.googledrive, n8n-nodes-base.if
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Billy Christi.
Original n8n.io sourceThis workflow is ideal for:
Screening candidates manually is time-consuming, inconsistent, and difficult to scale. This workflow solves that by:
This workflow builds an end-to-end AI-powered hiring pipeline using Airtable, OpenAI, and Google Drive. Here's how it works:
Accept candidate applications via a public web form, including resume upload (PDF only)
Extract text from uploaded resumes for processing
Store resumes in Google Drive and generate shareable links
Match the application to a job posting stored in Airtable
Use AI to evaluate candidates (via OpenAI GPT-4) against job descriptions and requirements
Generate suitability results including:
Combine AI output and files into one data object
Create a new candidate record in Airtable with all application data
Automatically notify HR via Gmail if a candidate is marked “Suitable”
Contact me for consulting and support:
📧 [email protected]
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 | AI-powered candidate screening and evaluation workflow using OpenAI and Airtable |
|---|---|
| Complexity | advanced |
| Nodes | 23 |
| Categories | HR, AI Summarization |
| Author | Billy Christi |
| Published | 29 May 2025 |
Use the JSON export at /data/workflows/4481/4481.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.
Who is this for? This workflow is ideal for: HR professionals and recruiters who want to automate and enhance the hiring process Organizations seeking AI driven, consistent, and data backed candida...
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.