This article provides a complete, practical walkthrough of the Manual Humanticai Create Webhook n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.

What This Agent Does

This agent orchestrates a reliable automation between HTTP Request, Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.

It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.

Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.

How It Works

The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.

Third‑Party Integrations

• HTTP Request
• Webhook

Import and Use in n8n

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   Title:  
   Streamline Candidate Profiling with n8n and Humantic AI: Automate Profile Creation, Update, and Retrieval
   
   Meta Description:  
   Learn how to automate personality profiling using Humantic AI and n8n. This workflow streamlines LinkedIn profile analysis, resume updates, and persona-based profile retrieval in one seamless automation.
   
   Keywords:  
   n8n workflow, Humantic AI, automate personality profiling, LinkedIn profile analysis, candidate screening automation, resume update automation, AI recruitment tools, API workflow automation, HR tech, persona-based candidate insights
   
   Third-Party APIs Used:  
   - Humantic AI API
   
   Article:
   
   In today’s fast-paced recruitment landscape, hiring managers and talent acquisition professionals seek smarter, faster ways to understand candidates beyond the resume. Personality insights can help hiring teams make better-informed decisions, communicate more effectively, and ultimately improve employee fit and retention. Fortunately, tools like Humantic AI and no-code automation platforms like n8n make this not only possible but also seamless.
   
   In this article, we’ll walk through an n8n workflow that automates the process of creating, updating, and retrieving candidate profiles from Humantic AI based on their LinkedIn information. Whether you're enhancing your sourcing pipeline or just want a better understanding of talent, this automation can save manual effort and boost decision-making.
   
   🔁 Overview of the Workflow
   
   The automation consists of five key steps:
   
   1. Manual initiation via a trigger.
   2. Initial creation of a profile in Humantic AI using a LinkedIn URL.
   3. A placeholder HTTP request (e.g., to fetch a resume file).
   4. Updating the profile by uploading a resume.
   5. Retrieving final persona-based insights for hiring purposes.
   
   Let’s break down the role each node plays in this smart HR workflow.
   
   📍 Step 1: Manual Trigger
   
   The workflow begins with a Manual Trigger node. This setup allows users to run the workflow on demand by clicking “Execute Workflow” in the n8n editor. While this could later be replaced with a more dynamic trigger (like a webhook or form submission), the manual trigger is ideal for initial testing and demonstration purposes.
   
   🧠 Step 2: Create a New Profile in Humantic AI
   
   The second node kicks off the profiling process. Using the Humantic AI integration in n8n, the workflow creates a new profile based on a LinkedIn profile URL. In this case, the profile used is for illustration purposes: https://www.linkedin.com/in/harshil1712/.
   
   Humantic AI pulls publicly available social data from LinkedIn to generate a psychological and behavioral profile, using frameworks like DISC and Big Five to assess the candidate's personality traits.
   
   🔄 Step 3: HTTP Request Placeholder
   
   Next, the HTTP Request node sits ready to receive or download a resume — a needed step if you want to enrich the candidate profile further. Although the URL in this node is currently blank, you could modify it to connect to your ATS (Applicant Tracking System), file storage system (like Dropbox or Google Drive), or resume scraping service to retrieve the necessary file.
   
   📤 Step 4: Update the Profile with Resume
   
   Now that the resume is hypothetically retrieved, the profile can be updated to include this supplementary context. A second Humantic AI node is used with an “update” operation, sending the resume file for deeper analysis. This additional data helps Humantic AI provide even more accurate and comprehensive profiling insights.
   
   The userId from the original profile creation is dynamically passed using n8n’s expression editor, ensuring continuity across steps. The system seamlessly handles all the data linkage behind the scenes.
   
   🔍 Step 5: Get Persona-Based Profile Insights
   
   Finally, the third Humantic AI node retrieves the enriched personality profile tailored for a specific use-case — in this case, “hiring.” Humantic enables persona-based profiles (e.g., hiring, selling, managing), which adjust the insights based on the job role or purpose. This persona-based view supports hiring professionals looking to evaluate team fit, communication style, and leadership potential.
   
   💡 Why Use This Workflow?
   
   - Save hours of manual copy-pasting and data entry.
   - Ensure consistency and structure in your candidate assessments.
   - Get real-time personality insights with minimal effort.
   - Build customizable, repeatable HR processes without writing code.
   
   🔧 Prerequisites:
   
   To use this workflow, you'll need:
   
   - An n8n account (self-hosted or cloud)
   - A Humantic AI API key
   - Access to the resumes or a method to fetch them (e.g., API, webhook, or storage access)
   
   💬 Final Thoughts
   
   Smart hiring starts with actionable data — and this automation brings it within arm’s reach. By leveraging Humantic AI and n8n, you can gain critical insights into candidates before the first interview. Whether you’re hiring your next team member or simply prototyping intelligent sourcing tools, this workflow showcases the power of HR tech automation through APIs.
   
   With just a few nodes, n8n and Humantic AI can revolutionize the way you approach talent — all without writing a single line of code.
   
   🚀 Bonus Tip: Once you’ve tested this workflow, consider expanding it with webhook triggers, CRM integration (like HubSpot or Salesforce), or Slack alerts to supercharge your recruitment process!

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. Enable the workflow to run on schedule, webhook, or triggers as configured.

Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.

Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.

Why Automate This with AI Agents

AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.

n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.

Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.

Best Practices

• Credentials: restrict scopes and rotate tokens regularly.
• Resilience: configure retries, timeouts, and backoff for API nodes.
• Data Quality: validate inputs; normalize fields early to reduce downstream branching.
• Performance: batch records and paginate for large datasets.
• Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
• Security: avoid sensitive data in logs; use environment variables and n8n credentials.

FAQs

Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.

How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.

Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.

Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.