This article provides a complete, practical walkthrough of the Slack Hunter 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, Hunter, MadKudu, and Slack
   
   Meta Description:  
   Learn how to automate lead collection, email validation, and qualification using n8n with integrations like Hunter, MadKudu, and Slack. Discover how to build a smarter lead pipeline and alert your team only when it matters.
   
   Keywords:  
   n8n workflow, lead scoring automation, Hunter email verification, MadKudu lead scoring, Slack lead alerts, lead qualification automation, intelligent lead routing, marketing automation, email verification, Slack notifications
   
   Third-party APIs Used:  
   
   - Hunter API (Email Verification)
   - MadKudu API (Customer Fit Lead Scoring)
   - Slack API (Lead Alerting & Notification)
   
   Article:
   
   ⏩ Automating Smart Lead Qualification with n8n, Hunter, MadKudu, and Slack
   
   In today’s fast-paced sales environment, sifting through unqualified leads is more than a tedious task—it’s a costly distraction. But what if your team could be notified only when a lead is truly promising, with vetted, enriched data and a high customer fit score, all without lifting a finger?
   
   This is exactly what this n8n workflow enables. By connecting your lead capture forms directly to smart APIs such as Hunter (for email verification), MadKudu (for predictive customer fit scoring), and Slack (to alert your sales team), you can automatically surface the highest-quality leads in real time.
   
   Let’s dive into what this automated lead qualification pipeline looks like.
   
   🚀 Workflow Overview
   
   The workflow begins with a simple form capture and ends with a Slack notification alerting your team when a new lead is genuinely hot. Here’s how it works step-by-step:
   
   1. Lead submits a form (from n8n or any platform like Typeform, Google Forms, etc.)
   2. The lead’s email gets verified using Hunter.
   3. If valid, their customer fit score is pulled from MadKudu.
   4. If the score is higher than 60, an alert is sent instantly to Slack with enriched lead insights.
   5. Leads not meeting the threshold or with invalid emails are safely ignored.
   
   This streamlined logic ensures your sales reps focus only on leads that actually matter.
   
   🧩 Step-by-Step Breakdown
   
   1. Form Trigger – Capture Incoming Leads  
   The workflow starts with a form node in n8n. This could be replaced with any form provider you like, including Typeform, Google Forms, or SurveyMonkey. The only required field in this setup is: “What’s your business email?”
   
   2. Email Verification via Hunter  
   Once the form is submitted, the email is sent to the Hunter API for validation. This is crucial to ensure you’re not wasting resources on bogus or mistyped addresses. The workflow evaluates the Hunter response and proceeds only if the status is marked as “valid.”
   
   3. Score the Lead using MadKudu  
   Now that we have a real, functioning email, the workflow makes an HTTP request to MadKudu's API. MadKudu enriches the lead and evaluates the "customer_fit.score"—a predictive score indicating how likely the lead is to convert, based on historical data, firmographics, and behavioral insights.
   
   4. Score Evaluation — Is the Lead Hot?  
   With the customer fit score retrieved, the workflow uses an IF condition to check if the score is greater than 60. This threshold is configurable; for instance, you could raise the bar higher for enterprise sales or tweak it for different segments.
   
   5. Slack Notification  
   If the score meets or exceeds the threshold, a beautifully formatted message is sent to a designated Slack channel (in this case, #interesting_leads). The message includes:
   
   - Full name of the lead
   - Company name and domain
   - Geolocation (State, Country)
   - A list of top signals identified by MadKudu to explain why this lead is a good fit
   
   For example, a message might read:
   
   ⭐ Got a hot lead for you Jan Müller from n8n.io (n8n.io) based out of Berlin, Germany.
   
   - Top Signals: Uses Amazon Web Services, Head of Growth is the form submitter, High monthly traffic…
   
   This leads to more productive, contextual conversations for your sales team.
   
   6. Cold Leads or Invalid Emails? No Problem  
   If the email is not valid, the workflow enters a pre-defined NoOp node, meaning no action is taken. Similarly, if the customer fit score is under the acceptable threshold, the lead is tagged as "Not interesting enough" and skipped silently.
   
   🙌 Why This Workflow Matters
   
   - Time-Saving: Ditch manual lead triage forever.
   - Data-Driven: Make decisions backed by MadKudu’s predictive scoring.
   - Focused Teams: Your sales reps are notified only when the lead quality is high.
   - Flexibility-First: Replace the n8n form with your form tool of choice.
   
   🔧 Setup Tips
   
   To get this workflow running, you’ll need to:
   
   1. Add your Hunter, MadKudu, and Slack credentials to n8n.
   2. Adjust the Slack channel ID for sending alerts.
   3. Customize the customer fit score threshold depending on your ICP (ideal customer profile).
   4. Deploy the form trigger URL in your website, campaign pages, or landing pages.
   
   💡 Final Thoughts
   
   By combining the power of n8n’s logic engine with best-in-class APIs like Hunter, MadKudu, and Slack, you can unlock a new era of intelligent, real-time lead qualification. Whether you’re a solo founder relying on automation or a marketing ops guru building workflows at scale, this setup saves time, reduces noise, and improves sales productivity—with zero code required.
   
   So go ahead: plug it in, test it out, and start surfacing leads that your sales team will actually thank you for.
   
   📎 Bonus: You can expand this workflow further by integrating your CRM, running enrichment via Clearbit, or even sending personalized email sequences, all within n8n.
   
   —
   
   Happy automating!

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.