This article provides a complete, practical walkthrough of the Hunter Form Send 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:
   Automate Smart Lead Qualification with n8n Using Hunter and MadKudu
   
   Meta Description:
   Learn how to build an automated lead qualification workflow in n8n by integrating Hunter email verification and MadKudu lead scoring. Improve your sales process by identifying high-quality leads in real time.
   
   Keywords:
   n8n workflow, lead qualification automation, email verification, MadKudu integration, Hunter integration, automated lead scoring, smart lead generation, email filter n8n, sales automation, webhook form trigger
   
   Third-Party APIs Used:
   - Hunter API (for email validation)
   - MadKudu API (for lead scoring)
   - Gmail API (to send lead alert emails)
   
   Article:
   
   Supercharge Your Lead Qualification Process with n8n, Hunter, and MadKudu
   
   In the fast-paced world of digital marketing and sales, every minute counts—especially when it comes to evaluating your incoming leads. Not every visitor who fills out your contact form is worth pursuing, and manually qualifying each one can drain your resources. That’s where automation comes in.
   
   With the help of n8n—an open-source workflow automation tool—you can build a powerful lead qualification system that filters out invalid emails, scores each contact with MadKudu, and alerts your sales team only when someone genuinely interesting comes along. In this article, we break down a complete example workflow that does exactly that using three key integrations: Hunter, MadKudu, and Gmail.
   
   📌 Overview of the Workflow
   
   This n8n workflow is triggered when someone fills out a simple contact form. Here's the step-by-step logic:
   
   1. A person submits their business email through a form.
   2. The email address is verified using Hunter to ensure it's valid.
   3. If valid, the email is passed to MadKudu where it is scored based on its customer-fit signals.
   4. If the lead has a customer fit score above 60, an alert email is automatically sent via Gmail to your sales team.
   5. If the email is invalid or the lead is not considered a good fit, the workflow stops there—saving time and energy.
   
   Let’s dive into how it all comes together.
   
   🎯 Step 1: Capturing the Lead with n8n’s Form Trigger
   
   The workflow starts with n8n's built-in Form Trigger node, collecting the user's business email. This form is user-friendly and customizable, making it an easy-to-deploy solution on your contact page. Alternatively, you could integrate other form tools like Typeform or Google Forms using appropriate triggers.
   
   🕵️ Step 2: Email Validation with Hunter.io
   
   Once an email is submitted, it flows into the Hunter API for validation. This step ensures that fake or mistyped emails don’t make it further into your sales process. Using Hunter’s email verifier operation, only emails classified as “valid” are forwarded.
   
   ⚖️ Step 3: Conditional Branching Based on Email Status
   
   The workflow includes an IF node that determines whether the email status provided by Hunter is "valid." If not, the lead is dismissed with a no-op (no operation) node. This streamlined filtering ensures your team isn't flooded with low-quality noise.
   
   💡 Step 4: Lead Scoring with MadKudu
   
   Valid leads are passed on to MadKudu's API. At this point, MadKudu evaluates customer-fit using a variety of data points associated with the user’s email domain—like company size, industry, location, and job title. The response includes both a numerical customer_fit score and a list of key signals backing the score.
   
   🔥 Step 5: Prioritization with a Smart Score Cutoff
   
   Another IF node checks if the customer's score exceeds your predefined threshold—set here at 60. This score cutoff ensures that only high-quality leads move to the final step of the process. Adjust this threshold as needed based on feedback and conversion rates.
   
   📨 Step 6: Real-Time Sales Alerts via Gmail
   
   If a lead clears the scoring threshold, the workflow sends a formatted email to the sales team via Gmail. The email includes key information like the lead’s name, company, company domain, and location, as well as bullet-pointed top signals from MadKudu to justify the interest.
   
   This helps your team prioritize their outreach efficiently and follow up while the lead is still warm.
   
   🎛️ Key Tips for Customizing This Workflow
   
   - Email Alerts: Update the Gmail node to send to your team’s internal sales recipient or Slack channel using an integration.
   - Form Options: Replace the Form Trigger with your favorite form tool using their webhooks.
   - Scoring Threshold: Adjust the MadKudu custom score check based on your ideal customer profile.
   - Data Enrichment: Add additional enrichment steps (like Clearbit or LinkedIn lookups) for deeper insights.
   
   🚀 Takeaway
   
   This simple yet robust n8n workflow can take a generic contact form and transform it into a smart lead qualification engine. By verifying emails through Hunter, qualifying leads via MadKudu, and alerting your team only when someone actually matters, you save your team valuable time and greatly improve your conversion rate.
   
   Whether you’re a sales ops specialist, a growth marketer, or a founder bootstrapping your customer acquisition—this no-code solution offers automation that works smarter, not harder.
   
   Start with this workflow today and say goodbye to spammy leads and hello to high-fit prospects, automatically.
   
   Get the edge. Automate smarter.

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.