How to Connect Dify and Google Sheets: Step-by-Step Guide (2026)

In the evolving landscape of AI-driven applications, efficiently managing data and interactions is crucial for business operations. Dify, an open-source LLM application development platform, allows teams to build and deploy AI applications quickly. Google Sheets, on the other hand, remains a widely used, accessible tool for data storage, analysis, and collaboration.

Connecting Dify with Google Sheets provides a powerful mechanism to log AI interactions, collect structured data from user inputs, manage prompts, or even trigger AI workflows based on spreadsheet data. This guide will walk you through the process of integrating Dify with Google Sheets, ensuring your AI applications are not only intelligent but also well-supported by robust data management practices for 2026 and beyond.

Why Connect Dify and Google Sheets?

Integrating Dify with Google Sheets offers several tangible benefits for businesses leveraging AI applications:

• Automated Data Logging: Automatically record user queries, AI responses, interaction timestamps, and other metadata from your Dify applications directly into a Google Sheet. This creates a valuable audit trail and dataset for performance analysis and improvement.
• Centralized Data Collection: Gather structured data from forms or conversational inputs processed by your Dify application and consolidate it in a spreadsheet. This is ideal for lead generation, feedback collection, or surveying users through an AI interface.
• Dynamic Prompt Management: Use Google Sheets as a centralized repository to manage and update prompts or configuration variables for your Dify applications. This allows for quick iteration and A/B testing of different AI behaviors without modifying application code directly.
• Reporting and Analytics: With data flowing into Google Sheets, you can easily generate reports, create dashboards, and perform basic analytics on your AI application's usage and effectiveness using familiar spreadsheet tools or by connecting other BI tools.
• Enhanced Collaboration: Share AI interaction data with team members who may not have direct access to Dify, enabling broader collaboration on insights and improvements.
• Reduced Manual Effort: Eliminate the need for manual data entry or copy-pasting, saving time and reducing errors. This automation frees up resources to focus on more strategic tasks.

What You Need Before You Start

Before you begin setting up the integration, ensure you have the following prerequisites:

• A Dify Account: Access to a Dify instance (cloud or self-hosted) with an active application you wish to integrate. You will need your Dify API Key.
• A Google Account: This account will be used to access Google Sheets. Ensure it has permissions to create and edit spreadsheets.
• A Make.com Account: Make.com (formerly Integromat) is a visual integration platform that will serve as the bridge between Dify and Google Sheets. A free account is sufficient to get started.
• Basic Understanding of Dify Webhooks/API: Knowing how to send data out of Dify using its API or webhooks will be helpful.
• Basic Understanding of Google Sheets: Familiarity with creating sheets, rows, columns, and headers.

Step-by-Step Guide to Connecting Dify and Google Sheets

This guide will focus on using Make.com as the integration platform, offering a no-code solution to connect Dify and Google Sheets.

Step 1: Prepare Your Dify Application

1. Access Your Dify Workspace: Log into your Dify account.
2. Select or Create an Application: Navigate to the application you want to connect. For example, if you have a chatbot, you might want to log its inputs and outputs.
3. Locate API Credentials: Go to your application's settings or the workspace settings to find your API key. This key will authenticate Dify with Make.com.
4. Identify Data Points: Determine what specific data you want to send from Dify to Google Sheets (e.g., user query, AI response, user ID, timestamp). Dify's API or webhook payloads will contain this information.

Step 2: Set Up Your Google Sheet

1. Create a New Google Sheet: Open Google Sheets and create a new blank spreadsheet.
2. Name Your Sheet: Give it a descriptive name, e.g., "Dify Interaction Log 2026".
3. Add Column Headers: In the first row (A1, B1, C1, etc.), add headers that correspond to the data points you identified in Dify. For instance:
   • Timestamp
   • User Input
   • AI Response
   • Application ID
   • User ID

   Ensure these headers are clear and match the data you expect to receive.

Step 3: Create a New Scenario in Make.com

1. Log into Make.com: Access your Make.com dashboard.
2. Create a New Scenario: Click on "Create a new scenario" in the top right corner.
3. Add the Dify Module (Webhook):
   • Click the large "+" button to add your first module.
   • Search for "Webhooks" and select "Custom webhook."
   • Click "Add" to create a new webhook. Give it a descriptive name (e.g., "Dify Webhook Receiver").
   • Make.com will generate a unique URL. Copy this URL. This is where Dify will send data.
   • Click "OK." Make.com will now be listening for data.
4. Configure Dify to Send Data to Make.com:
   • Go back to your Dify application settings.
   • Depending on your Dify application type and how you've built it, you might need to use a "Webhook" tool within Dify or integrate the Make.com webhook URL directly into your application's backend logic when a specific event occurs (e.g., a message is sent, or a function call is completed).
   • The method will vary based on your specific Dify implementation. You will send a POST request to the Make.com webhook URL with the data payload.
   • Send a Test Request: Trigger your Dify application once to send some sample data to the Make.com webhook. This allows Make.com to detect the data structure. You should see a "Successfully determined" message in Make.com.
5. Add the Google Sheets Module:
   • Click the "Add another module" button next to the Webhook module in Make.com.
   • Search for "Google Sheets" and select "Add a Row."
   • Connect Your Google Account: Click "Add" next to the connection field. Follow the prompts to sign in with your Google account and grant Make.com the necessary permissions.
   • Select Spreadsheet and Sheet:
     • For "Spreadsheet," select "By Name" and type the name of your Google Sheet (e.g., "Dify Interaction Log 2026").
     • For "Sheet Name," select the specific sheet (usually "Sheet1" by default).
   • Map Data: Make.com will now display fields corresponding to your Google Sheet headers. Click on each field and map it to the corresponding data element received from Dify via the webhook. For example:
     • Timestamp maps to a timestamp variable from Dify (you might use Make.com's now function for current time if Dify doesn't provide it).
     • User Input maps to the user's message from Dify.
     • AI Response maps to the AI's generated response.
     • Application ID maps to the relevant Dify application ID.
     • User ID maps to the user's identifier.
   • Click "OK."
6. Test and Activate Your Scenario:
   • Run Once: Click "Run once" at the bottom left of the Make.com scenario editor.
   • Trigger Dify: Interact with your Dify application to send another piece of data.
   • Verify Data: Check your Google Sheet to confirm that a new row has been added with the correct data.
   • Save and Activate: If the test is successful, save your scenario and toggle the "Scheduling" switch to "ON" to activate it.

Popular Use Cases for Dify and Google Sheets Integration

• AI Chatbot Analytics: Log every user query and AI response from a Dify-powered chatbot to Google Sheets. This data can be analyzed to identify common user intents, AI performance issues, or popular features.
• Lead Capture from Conversational AI: If your Dify application is used for lead generation, extract contact details (name, email, company) provided by users during the conversation and automatically add them as new leads to a Google Sheet, which can then be integrated with a CRM.
• Automated Feedback Collection: When users provide feedback through a Dify interface, automatically record their comments and ratings in a Google Sheet for sentiment analysis and product improvement tracking.

Estimated Time Savings and ROI

Implementing a Dify to Google Sheets integration, while requiring initial setup time (typically 1-3 hours depending on complexity), yields significant ongoing time savings and a strong return on investment (ROI).

For operations that would otherwise involve manual data entry of AI interactions or user feedback, this automation can save several hours per week. Consider a scenario where an AI application generates 100 interactions daily, and each requires 30 seconds of manual data logging. This equates to approximately 50 minutes per day, or over 4 hours per week, simply in data entry. Over a year, this totals over 200 hours.

Beyond direct time savings, the ROI is further enhanced by:

• Data Accuracy: Eliminating human error associated with manual transcription.
• Real-Time Insights: Accessing fresh data immediately for quicker decision-making.
• Scalability: The ability to handle increased volumes of interactions without increasing manual workload.
• Resource Reallocation: Freeing up staff to focus on higher-value tasks such as strategic analysis, AI model refinement, or customer engagement.

The upfront investment in setting up this automation quickly pays for itself through improved efficiency, data reliability, and enhanced operational intelligence.

Frequently Asked Questions

What types of data can I transfer from Dify to Google Sheets?

You can transfer any structured data available in Dify's API or webhook payloads, including user inputs, AI generated text, timestamps, user IDs, application IDs, and any custom metadata you configure within Dify. This can include text strings, numbers, booleans, and even URLs.

Is coding required to connect Dify and Google Sheets?

No, coding is not required if you use an integration platform like Make.com. These platforms provide visual interfaces to configure webhooks, map data fields, and set up the connection logic without writing a single line of code. Dify's API and webhook capabilities are designed for straightforward integration.

Can I update existing rows in Google Sheets instead of always adding new ones?

Yes, integration platforms like Make.com offer modules for Google Sheets that can search for existing rows based on a specific criterion (e.g., User ID or Interaction ID) and then update those rows. This is useful for tracking ongoing conversations or modifying existing records rather than creating duplicates.

Written by Vangari Sai Sampath, Automation Specialist · Integration Directory · Hyderabad, India