This article provides a complete, practical walkthrough of the Openai Form Create 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:
   Streamline Customer Feedback with AI Sentiment Analysis in n8n
   
   Meta Description:
   Discover how to automate customer feedback collection, sentiment analysis with OpenAI, and data storage in Google Sheets using a no-code n8n workflow. Boost customer insights effortlessly.
   
   Keywords:
   n8n workflow, customer feedback automation, OpenAI sentiment analysis, Google Sheets integration, no-code automation, customer sentiment classification, AI in customer service, feedback form automation, OpenAI API, Google Sheets API
   
   Third-Party APIs Used:
   1. OpenAI API – for sentiment analysis and natural language processing.
   2. Google Sheets API – for storing and organizing customer feedback data.
   
   —
   
   Article:
   
   Streamline Customer Feedback with AI Sentiment Analysis in n8n
   
   Every business knows the value of customer feedback—but collecting, analyzing, and organizing that data can be time-consuming and hard to scale. Enter n8n, a popular open-source workflow automation tool that enables users to build powerful integrations without writing code. In this article, we walk through a fully automated n8n workflow designed to capture customer feedback via a web form, analyze sentiment using the OpenAI API, and log all results in a Google Sheet for easy access and reporting.
   
   Whether you're a small startup or an established enterprise, this automation can significantly streamline your customer feedback processes and help you make data-driven decisions.
   
   ‍
   
   What This Workflow Does
   
   This n8n workflow automates the process of:
   
   1. Collecting customer feedback through an interactive form.
   2. Using OpenAI’s API to analyze the sentiment of each response (positive, neutral, or negative).
   3. Merging form data with sentiment results.
   4. Storing all relevant feedback data in a connected Google Sheets document for future analysis or action.
   
   This solution not only saves time by automating data entry but also enhances data quality with AI-driven insights.
   
   ‍
   
   Step-by-Step Breakdown
   
   Let’s explore how each part of this workflow comes together:
   
   1. Customer Feedback Form Submission
   
   The workflow starts with a form node titled "Submit form with customer feedback." It collects four key data fields from users:
   
   - Name
   - What is your feedback about? (Category: Product, Service, Other)
   - Your feedback (free text)
   - Contact information
   
   This form acts as the entry point for the workflow and is hosted via a webhook in n8n.
   
   2. Sentiment Classification with OpenAI
   
   Once a form is submitted, the text from the "Your feedback" field is passed to the "Classify feedback with OpenAI" node. This node uses the OpenAI API to evaluate the sentiment of the customer’s response. A simple prompt is sent to the model: Classify the sentiment in the following customer feedback: [Your feedback].
   
   OpenAI returns a sentiment label (e.g., Positive, Neutral, Negative) that is then used throughout the subsequent steps in the workflow.
   
   3. Merging Data
   
   After obtaining the sentiment from OpenAI, the information is sent to the "Merge sentiment with form content" node. This merge node combines the original form values with the sentiment classification to create a complete data package.
   
   This modular step is especially helpful for future customization, such as adding urgency categorization or specific keyword tagging.
   
   4. Storing Feedback in Google Sheets
   
   The final stage stores the merged data inside a preconfigured Google Sheets document, using the "Add customer feedback to Google Sheets" node. The data is mapped into well-defined columns:
   
   - Timestamp
   - Category
   - Customer Feedback
   - Customer Name
   - Customer Contact
   - Entered by (form origin)
   - Sentiment
   
   All data is appended to a chosen worksheet (Sheet1 in this example) within a Google Sheets document accessible via a shared URL. This document serves as a central hub for organizing, analyzing, and sharing customer feedback across your organization.
   
   ‍
   
   Getting Started with This Template
   
   To implement this workflow yourself, follow these simple steps:
   
   1. Connect your Google account and give n8n permission to access Google Sheets.
   2. Obtain an OpenAI API key and Org ID, then configure the OpenAI node accordingly.
   3. Create a customer feedback form or use the one included in the workflow.
   4. Download or copy the sample Google Sheet (linked in the Sticky Note) and modify it as needed.
   
   Once these steps are complete, you're ready to go. Each time a customer submits feedback via your form, the sentiment is automatically analyzed and saved along with all their other details. You’ll always have up-to-date insights at your fingertips.
   
   ‍
   
   Why This Matters
   
   Customer feedback contains rich insights that can drive business improvements, but sorting through unstructured responses manually is inefficient. Using AI to analyze the tone and mood of each message helps you:
   
   - Prioritize responses that need urgent attention.
   - Gauge customer satisfaction over time.
   - Identify trending issues or commonly praised features.
   
   Even more, storing this data systematically in Google Sheets allows you to create dashboards, run performance metrics, or export reports with just a few clicks. Whether you're in product development, customer success, or marketing, this automated system enhances your ability to detect patterns and respond swiftly.
   
   ‍
   
   Conclusion
   
   This n8n-based automation setup not only simplifies how you collect and process customer feedback but adds a layer of intelligence with OpenAI's powerful API. By combining no-code tools with cutting-edge AI, businesses can deliver a more responsive and informed customer experience.
   
   In just a few nodes, you've created a smarter, streamlined way to understand your customers. And that’s the power of intelligent automation with n8n.
   
   —
   
   Looking for more use cases? Explore how n8n can connect your internal tools, CRM, or marketing platforms with drag-and-drop simplicity.
   
   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.