This article provides a complete, practical walkthrough of the Googlesheets Typeform Automate Triggered 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 Course Feedback with Typeform and Google Sheets Using n8n
   
   Meta Description:  
   Learn how to automatically collect and categorize course feedback from Typeform into Google Sheets using a no-code n8n workflow. Discover how to filter and store insights without writing a single line of code.
   
   Keywords:  
   n8n workflow, Typeform integration, Google Sheets automation, course feedback, automate feedback collection, no-code tools, Typeform to Google Sheets, filter feedback, productivity automation, workflow automation n8n
   
   Third-Party APIs Used:
   
   - Typeform API (via n8n Typeform Trigger node)
   - Google Sheets API (via n8n Google Sheets node)
   
   Article:
   
   Collecting feedback is central to improving any product or service—and educational courses are no exception. However, processing large volumes of responses manually can be tedious and prone to inefficiencies. Fortunately, with no-code automation platforms like n8n, it's possible to streamline this entire process, from gathering feedback to categorizing and storing it—all without writing a single line of code.
   
   In this article, we’ll break down how a simple but powerful n8n workflow automatically collects course feedback from Typeform, filters it based on response quality, and sorts it into two separate Google Sheets for positive and negative feedback.
   
   Overview of the Workflow
   
   Our workflow comprises five key nodes, each serving a specific purpose within the automation:
   
   1. Typeform Trigger  
   2. Set Node (to capture and structure key responses)  
   3. IF Node (to classify feedback based on a rating threshold)  
   4. Google Sheets (for positive feedback)  
   5. Google Sheets1 (for negative feedback)
   
   Let’s explore how these components work together to facilitate automatic feedback collection and organization.
   
   Step 1: Capturing Feedback via Typeform
   
   The workflow begins with the “Typeform Trigger” node. In this case, the trigger listens for new submissions from a Typeform feedback form identified by form ID yxcvbnm. Once a user submits the form, the webhook is triggered and forwards the response into the workflow for processing.
   
   The form collects ratings (e.g., "How useful was the course?") and a free-text field ("Your opinion on the course:"). These responses are essential inputs for analyzing the quality of feedback.
   
   Step 2: Structuring Data with the Set Node
   
   Once a new response is received, the "Set" node is employed to extract only the necessary fields from the form: the usefulness rating and the written opinion. The Set node standardizes the data by renaming fields to “usefulness” and “opinion” and excludes any unnecessary fields. This makes it easier to process and filter the responses downstream.
   
   For example:
   - usefulness: 4  
   - opinion: “The course provided practical insights I can use right away.”
   
   Step 3: Filtering for Feedback Quality
   
   The structured data is then passed into an “IF” node. This node contains a simple logical condition: if the "usefulness" rating is greater than or equal to 3, consider it positive feedback. If it falls below 3, it's categorized as negative feedback.
   
   This conditional split is crucial for organizing responses effectively. It also makes it easier for educators and stakeholders to review feedback that requires attention or highlights success.
   
   Step 4: Storing Positive Feedback in Google Sheets
   
   If the usefulness rating meets or exceeds the threshold, the feedback is routed to the "Google Sheets" node. This node appends the data to a sheet labeled "positive_feedback" within a specific Google Sheets document (ID: asdfghjklöä). This sheet can then be reviewed to identify strengths in the curriculum or teaching style.
   
   Step 5: Routing Negative Feedback to a Separate Sheet
   
   Conversely, responses that don’t meet the threshold are forwarded to the "Google Sheets1" node. This node appends the data to another document labeled "negative_feedback" (ID: qwertzuiop). By separating areas of concern from positive commentary, course instructors can zero in on specific issues that need resolving.
   
   Why This Matters
   
   Capturing user feedback in real-time and categorizing it automatically allows educators to:
   - Reduce the manual burden of copying and sorting responses  
   - Focus on actionable insights rather than data wrangling  
   - React promptly to negative feedback  
   - Use positive testimonials for marketing or internal reporting  
   
   This workflow is not just limited to course feedback—its structure can be adapted for customer service reviews, product surveys, post-event evaluations, and more.
   
   Conclusion
   
   Thanks to n8n and its seamless integration with Typeform and Google Sheets APIs, you can create an efficient system to manage course feedback. Through simple logic and structured data handling, this workflow helps teams gain insight without spending unnecessary time combing through raw submissions.
   
   Best of all, it operates autonomously once configured—saving you both time and resources that can be reinvested into improving the educational experience.
   
   Ready to automate your feedback strategy? Give n8n a try and experience no-code automation that scales with you.

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.