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integrationGoogle Gemini Chat Model node
integrationStripe node

Google Gemini Chat Model and Stripe integration

Save yourself the work of writing custom integrations for Google Gemini Chat Model and Stripe and use n8n instead. Build adaptable and scalable AI, Langchain, Finance & Accounting, and Sales workflows that work with your technology stack. All within a building experience you will love.

How to connect Google Gemini Chat Model and Stripe

  • Step 1: Create a new workflow
  • Step 2: Add and configure nodes
  • Step 3: Connect
  • Step 4: Customize and extend your integration
  • Step 5: Test and activate your workflow

Step 1: Create a new workflow and add the first step

In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.

Google Gemini Chat Model and Stripe integration: Create a new workflow and add the first step

Step 2: Add and configure Google Gemini Chat Model and Stripe nodes

You can find Google Gemini Chat Model and Stripe in the nodes panel. Drag them onto your workflow canvas, selecting their actions. Click each node, choose a credential, and authenticate to grant n8n access. Configure Google Gemini Chat Model and Stripe nodes one by one: input data on the left, parameters in the middle, and output data on the right.

Google Gemini Chat Model and Stripe integration: Add and configure Google Gemini Chat Model and Stripe nodes

Step 3: Connect Google Gemini Chat Model and Stripe

A connection establishes a link between Google Gemini Chat Model and Stripe (or vice versa) to route data through the workflow. Data flows from the output of one node to the input of another. You can have single or multiple connections for each node.

Google Gemini Chat Model and Stripe integration: Connect Google Gemini Chat Model and Stripe

Step 4: Customize and extend your Google Gemini Chat Model and Stripe integration

Use n8n's core nodes such as If, Split Out, Merge, and others to transform and manipulate data. Write custom JavaScript or Python in the Code node and run it as a step in your workflow. Connect Google Gemini Chat Model and Stripe with any of n8n’s 1000+ integrations, and incorporate advanced AI logic into your workflows.

Google Gemini Chat Model and Stripe integration: Customize and extend your Google Gemini Chat Model and Stripe integration

Step 5: Test and activate your Google Gemini Chat Model and Stripe workflow

Save and run the workflow to see if everything works as expected. Based on your configuration, data should flow from Google Gemini Chat Model to Stripe or vice versa. Easily debug your workflow: you can check past executions to isolate and fix the mistake. Once you've tested everything, make sure to save your workflow and activate it.

Google Gemini Chat Model and Stripe integration: Test and activate your Google Gemini Chat Model and Stripe workflow

Monitor agency profitability with Facebook Ads, Shopify, Stripe, Clockify, Google Sheets, Slack and Gemini

Overview
Stop guessing your agency's actual margins. This workflow acts as a centralized financial brain for digital marketing agencies. It aggregates real-time data from your time-tracking, ad platforms, and payment processors to calculate precise profitability metrics (Gross Profit, Net Margin, ROAS, and Efficiency).

It doesn't just crunch numbers; it uses Google Gemini to act as a virtual CFO, analyzing the data and sending an executive summary to Slack with actionable insights, while simultaneously archiving the data to Google Sheets for historical trending.

Key Features
Multi-Source Aggregation: Pulls data from Facebook Ads, Google Ads, Shopify, Stripe, and Clockify.

Smart Cost Allocation: Automatically calculates overhead (default 30%) and software costs against your gross revenue.

AI Analysis: Uses Google Gemini to review the calculated metrics and draft a "Human-readable" executive summary for Slack.

Dual Output: Sends instant alerts to Slack and logs granular data to Google Sheets.

How to Setup

  1. Configure Credentials
    Ensure you have authenticated credentials for:

Clockify

Stripe & Shopify

Facebook Marketing API & Google Ads

Google Sheets & Google Gemini (PaLM)

Slack

  1. Prepare Google Sheet
    Create a new Google Sheet with the following headers in Row 1:
    timestamp, date, totalRevenue, totalAdSpend, facebookAdSpend, googleAdSpend, totalTimeCost, grossProfit, profitMargin, roas.

  2. Adjust Logic Configuration
    Open the "Code in JavaScript" node. At the very top, you will see a CONFIG object. Edit these values to match your agency's model:

const CONFIG = {
platformFeeRate: 0.029, // Stripe/Shopify fees
monthlySoftwareCosts: 500, // Fixed monthly SaaS costs
overheadRate: 0.30, // Overhead % (rent, admin, etc)
minProfitMargin: 20 // Target margin %
};

  1. Remove Mock Data
    The template includes "Set" nodes with mock data for testing purposes. Simply bypass these nodes and connect the API nodes directly to the "Merge" node when you are ready to go live.

Nodes used in this workflow

Popular Google Gemini Chat Model and Stripe workflows

+5

Monitor agency profitability with Facebook Ads, Shopify, Stripe, Clockify, Google Sheets, Slack and Gemini

Overview Stop guessing your agency's actual margins. This workflow acts as a centralized financial brain for digital marketing agencies. It aggregates real-time data from your time-tracking, ad platforms, and payment processors to calculate precise profitability metrics (Gross Profit, Net Margin, ROAS, and Efficiency). It doesn't just crunch numbers; it uses Google Gemini to act as a virtual CFO, analyzing the data and sending an executive summary to Slack with actionable insights, while simultaneously archiving the data to Google Sheets for historical trending. Key Features Multi-Source Aggregation: Pulls data from Facebook Ads, Google Ads, Shopify, Stripe, and Clockify. Smart Cost Allocation: Automatically calculates overhead (default 30%) and software costs against your gross revenue. AI Analysis: Uses Google Gemini to review the calculated metrics and draft a "Human-readable" executive summary for Slack. Dual Output: Sends instant alerts to Slack and logs granular data to Google Sheets. How to Setup Configure Credentials Ensure you have authenticated credentials for: Clockify Stripe & Shopify Facebook Marketing API & Google Ads Google Sheets & Google Gemini (PaLM) Slack Prepare Google Sheet Create a new Google Sheet with the following headers in Row 1: timestamp, date, totalRevenue, totalAdSpend, facebookAdSpend, googleAdSpend, totalTimeCost, grossProfit, profitMargin, roas. Adjust Logic Configuration Open the "Code in JavaScript" node. At the very top, you will see a CONFIG object. Edit these values to match your agency's model: const CONFIG = { platformFeeRate: 0.029, // Stripe/Shopify fees monthlySoftwareCosts: 500, // Fixed monthly SaaS costs overheadRate: 0.30, // Overhead % (rent, admin, etc) minProfitMargin: 20 // Target margin % }; Remove Mock Data The template includes "Set" nodes with mock data for testing purposes. Simply bypass these nodes and connect the API nodes directly to the "Merge" node when you are ready to go live.

Doctor Appointment Management System with Gemini AI, WhatsApp, Stripe & Google Sheets

WhatsApp AI Assistant for Clinic Appointment Booking Automate your entire appointment lifecycle with an intelligent AI assistant that lives on WhatsApp. This workflow empowers any clinic or independent practitioner to manage bookings, take payments, and send reminders without manual intervention, using Google Sheets as a simple database. This template handles everything from the initial booking conversation to sending the final reminder, allowing you to focus on your patients, not your schedule. Features 🤖 Conversational AI Booking: A Google Gemini-powered agent guides patients through booking, rescheduling, and canceling appointments in a natural, friendly chat. 🗓️ Smart Scheduling: The AI checks for available slots based on your working hours and existing appointments in Google Sheets, preventing double-bookings. 🔔 Automated Reminders: A daily trigger automatically sends WhatsApp reminders to patients for their appointments on that day, reducing no-shows. 💳 Seamless Payments: Integrated with Stripe to handle online payments. The workflow sends a confirmation message upon successful payment. 📊 Centralized Management: Uses a single Google Sheet with separate tabs for Patients, Appointments, and Configuration, making it easy to view and manage all your data. 🔄 Easy Rescheduling & Cancellations: Patients can manage their own bookings through the WhatsApp chat, and all changes are instantly reflected in your Google Sheet. Prerequisites Before you begin, you will need the following accounts and credentials: n8n Account: A running n8n instance (cloud or self-hosted). WhatsApp Business Account: Access to the WhatsApp Cloud API. Google Account: For using Google Sheets and the Google Gemini (AI) API. Stripe Account: To process online payments. n8n Credentials: You must configure credentials in your n8n instance for: WhatsApp Cloud API Google Sheets (OAuth2) Google Gemini API Stripe Setup Instructions Follow these steps carefully to get your automated assistant up and running. Step 1: Set Up Your Google Sheet This workflow relies on a specific Google Sheet structure. Create a new Google Sheet. Rename the sheet to something memorable, like "Clinic Appointments". Create three tabs at the bottom with the exact names: Patients, Appointments, and Config. Set up the columns for each tab as follows (the header names must be an exact match): Patients tab: patient_id, whatsapp_number, name, age, gender Appointments tab: appointment_id, patient_id, whatsapp_number, date, time, payment_method, payment_status, status, stripe_payment_intent Config tab: key, value (Add a row with working_hours as the key and a value like 10:00-18:00) Step 2: Configure the Workflow Nodes Now, you'll link the workflow to your accounts and your new Google Sheet. Update All Google Sheets Nodes: Go through every Google Sheets node in the workflow (e.g., "Get Appointment sheet", "Add Patient", "Google Sheets Trigger") and do the following: Select your Google Sheets credential from the dropdown. In the Document ID field, paste the ID of your Google Sheet. Select the correct sheet (Appointments, Patients, etc.) from the Sheet Name dropdown. Update All WhatsApp Nodes: Go through every WhatsApp node (e.g., "Send message", "WhatsApp Trigger", "Send Payment Confirmation"): Select your WhatsApp credential. Enter your Phone Number ID from your Meta for Developers account. Update AI & Stripe Nodes: In the Google Gemini Chat Model nodes, select your Google Gemini credential. In the Stripe Trigger node, select your Stripe credential. Step 3: Activate the Workflow Click Save to apply your changes. Click the Activate toggle in the top-right corner to turn the workflow on. Your AI appointment assistant is now live! Send a message to your WhatsApp number to begin testing. Customization Change Reminder Time: To change the daily reminder time, open the Schedule Trigger node and adjust the hour from the default of 8 AM. Edit AI Personality: To modify how the AI communicates, edit the system message in the AI Agent node (the one connected to the WhatsApp Trigger). You can change its tone, instructions, or language.

Build your own Google Gemini Chat Model and Stripe integration

Create custom Google Gemini Chat Model and Stripe workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.

Stripe supported actions

Get
Get a balance
Create
Create a charge
Get
Get a charge
Get Many
Get many charges
Update
Update a charge
Create
Create a coupon
Get Many
Get many coupons
Create
Create a customer
Delete
Delete a customer
Get
Get a customer
Get Many
Get many customers
Update
Update a customer
Add
Add a customer card
Get
Get a customer card
Remove
Remove a customer card
Create
Create a meter event
Create
Create a source
Delete
Delete a source
Get
Get a source
Create
Create a token
Use case

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FAQs

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