This article provides a complete, practical walkthrough of the Functionitem Zendesk 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:
   Automating Zendesk Ticket Assignment Using Pipedrive Contact Ownership in n8n
   
   Meta Description:
   Learn how to streamline your customer support workflow by automatically assigning Zendesk tickets to the right agent based on Pipedrive contact ownership using n8n's powerful automation platform.
   
   Keywords:
   Zendesk, Pipedrive, n8n, automation, workflow, ticket assignment, CRM integration, support ticket routing, customer support automation, SaaS integration
   
   Third-Party APIs Used:
   
   - Zendesk API (for tickets, users, and internal notes)
   - Pipedrive API (for searching contacts and retrieving owner user data)
   
   Article:
   
   Automating Zendesk Ticket Assignments Based on Pipedrive Contact Ownership Using n8n
   
   In today’s fast-paced digital business environment, customer support teams need tools that not only enhance productivity but also ensure that issues are routed to the right personnel as quickly as possible. While platforms like Zendesk and Pipedrive offer unmatched power in support ticketing and CRM management respectively, the real magic happens when you integrate them intelligently using a tool like n8n.
   
   In this article, we’ll explore a powerful n8n workflow that automatically assigns Zendesk support tickets to the appropriate agent based on contact ownership within Pipedrive. This seamless automation eliminates manual lookups and ensures quicker responses and better customer satisfaction.
   
   Overview of the Workflow
   
   This n8n workflow runs every five minutes and follows several key steps:
   
   1. Track Last Execution Time
   
   The workflow begins with a Cron trigger that runs the automation every five minutes. It then records the last execution timestamp using n8n's static workflow data. This helps the system determine which tickets have been created since the last run.
   
   2. Fetch New Zendesk Tickets
   
   The workflow queries Zendesk for tickets created since the recorded timestamp using the Zendesk API. This ensures only new tickets are processed in subsequent steps, optimizing performance and efficiency.
   
   3. Retrieve Requester Information
   
   Once new tickets are identified, the workflow extracts the requester IDs and queries Zendesk to get detailed information about each ticket’s requester, including their email address.
   
   4. Search Contact in Pipedrive
   
   Using the requester's email, the workflow searches the Pipedrive CRM for a matching contact. If a match is found, it retrieves the contact’s owner (typically a sales or account manager).
   
   5. Identify Owner in Pipedrive
   
   The workflow retrieves the user's information (owner) from Pipedrive via API and then pulls their email address to correlate with Zendesk agent data.
   
   6. Match Zendesk Agents by Email
   
   Parallel to the above, the workflow fetches all Zendesk users with roles “agent” and “admin.” It isolates each agent's email and ID, preparing the data to cross-reference with the Pipedrive contact owner.
   
   7. Assign Ticket or Add Note
   
   At this stage, the workflow merges ticket data with the contact owner’s information. If a Pipedrive contact and matching agent are found, the Zendesk ticket is reassigned to that agent using their email. If no match is found in Pipedrive, an internal note is added to the ticket indicating the requester was not found in the CRM.
   
   8. Update Last Execution Timestamp
   
   Finally, if the workflow runs successfully (regardless of whether a requester was found or not), it updates the stored static timestamp. This ensures the next run processes only newly created tickets.
   
   Benefits of This Automation
   
   - 🎯 Accurate Ticket Routing: Ensures that tickets are assigned directly to the contact owner in Pipedrive—typically the most relevant agent.
   - ⏱️ Time Savings: Eliminates the need for manual processing or triage, freeing up time for support staff.
   - 🤝 Aligns Sales and Support: By connecting Pipedrive and Zendesk, both teams gain better context of customer interactions.
   - 🧠 Smart Logging: Adds notes for transparency when a requester isn’t found in Pipedrive, aiding in CRM hygiene and team awareness.
   
   Use Cases
   
   - SaaS companies assigning support tickets to account managers.
   - Customer success teams managing high-touch clients.
   - Sales-enabled support teams that need CRM context in tickets.
   
   Customization Options
   
   You can easily expand this workflow to include:
   
   - Email notifications when a requester isn't found.
   - Slack alerts for high-priority customers.
   - Tagging tickets with CRM-related metadata for reporting purposes.
   
   Conclusion
   
   By combining Zendesk, Pipedrive, and the powerful no-code automation capabilities of n8n, this workflow bridges the gap between support and sales, creating a more seamless customer experience. With just a few API integrations and clever logic, you can scale your support operations without adding friction.
   
   This setup is a prime example of how automation can drive meaningful business outcomes—not just by saving time, but also by building smarter, more cohesive teams.
   
   Start automating today and let your workflow do the heavy lifting.
   
   — Written by your AI Automation Assistant 🧠🤖

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.