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    "description": "## 📊 Description\nAutomate post-purchase workflows by instantly fetching successful Stripe payments, matching them to corresponding automation templates in Google Sheets, and sending customers personalized access emails using AI-generated content. This system ensures each buyer receives their digital template, password, and onboarding details automatically after payment. 💳📩🤖\n\n## What This Template Does\n- Step 1: Triggers daily at 7:00 AM IST to fetch all successful payment charges from Stripe. ⏰\n- Step 2: Retrieves payment intent and product details for each successful charge to enrich context. 💰\n- Step 3: Validates required fields (order reference, product name, customer name, email). ✅\n- Step 4: Matches purchased product with the automation record in Google Sheets via AI lookup. 🔍\n- Step 5: Combines Stripe and Sheet data into one record, ensuring accuracy and completeness. 🔄\n- Step 6: Filters out already-processed customers to avoid duplicate sends. 🧮\n- Step 7: Generates a personalized thank-you email using Azure OpenAI (GPT-4o-mini) including access links, password, and onboarding tips. 💌\n- Step 8: Sends the email through Gmail to the customer automatically. 📧\n- Step 9: Logs each transaction and email delivery into Google Sheets for tracking and auditing. 📊\n\n## Key Benefits\n✅ Fully automated Stripe-to-email delivery flow\n ✅ Zero manual intervention — instant template delivery\n ✅ AI-personalized HTML emails with customer details\n ✅ Centralized purchase logging and analytics\n ✅ Eliminates duplicates and ensures smooth customer experience\n\n## Features\n- Scheduled daily trigger (7:00 AM IST)\n- Stripe API integration for payment and product details\n- Google Sheets lookup for automation files and passwords\n- GPT-powered email content generation\n- Gmail API integration for delivery\n- Google Sheets logging for audit trail\n\n## Requirements\n- Stripe API credentials\n- Google Sheets OAuth2 credentials\n- Gmail OAuth2 credentials\n- Azure OpenAI API credentials\n\n## Target Audience\n- SaaS or digital product sellers using Stripe\n- Automation template marketplaces\n- Small teams delivering digital assets via email\n- Businesses seeking instant customer fulfillment\n",
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        "n8n-nodes-base.stripe": {
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        "n8n-nodes-base.stickyNote": {
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        "n8n-nodes-base.httpRequest": {
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        "n8n-nodes-base.googleSheets": {
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        "n8n-nodes-base.splitInBatches": {
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        "@n8n/n8n-nodes-langchain.agent": {
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        "n8n-nodes-base.scheduleTrigger": {
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        "n8n-nodes-base.googleSheetsTool": {
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        "@n8n/n8n-nodes-langchain.lmChatAzureOpenAi": {
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    "status": "published",
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                  "url": "https://n8n.io/blog/migrating-community-metrics-to-orbit-using-n8n/",
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                  "label": "15 Google apps you can combine and automate to increase productivity"
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                {
                  "url": "https://n8n.io/blog/your-business-doesnt-need-you-to-operate/",
                  "icon": " 🖥️",
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                  "url": "https://n8n.io/blog/how-honest-burgers-use-automation-to-save-100k-per-year/",
                  "icon": "🍔",
                  "label": "How Honest Burgers Use Automation to Save $100k per year"
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                {
                  "url": "https://n8n.io/blog/how-a-digital-strategist-uses-n8n-for-online-marketing/",
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                  "url": "https://n8n.io/blog/why-this-product-manager-loves-workflow-automation-with-n8n/",
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                  "url": "https://n8n.io/blog/sending-automated-congratulations-with-google-sheets-twilio-and-n8n/",
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                {
                  "url": "https://n8n.io/blog/aws-workflow-automation/",
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                  "url": "https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.googlesheets/"
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                  "url": "https://docs.n8n.io/integrations/builtin/credentials/google/oauth-single-service/"
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        "displayName": "Google Sheets",
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          {
            "id": 4,
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        ]
      },
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        "id": 19,
        "icon": "file:httprequest.svg",
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                {
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                {
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                {
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                {
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                {
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                  "icon": "✨",
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                {
                  "url": "https://n8n.io/blog/creating-scheduled-text-affirmations-with-n8n/",
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                  "label": "Creating scheduled text affirmations with n8n"
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                {
                  "url": "https://n8n.io/blog/how-goomer-automated-their-operations-with-over-200-n8n-workflows/",
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                  "label": "How Goomer automated their operations with over 200 n8n workflows"
                },
                {
                  "url": "https://n8n.io/blog/aws-workflow-automation/",
                  "label": "7 no-code workflow automations for Amazon Web Services"
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              ],
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                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.httprequest/"
                }
              ]
            },
            "categories": [
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              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Helpers"
              ]
            }
          }
        },
        "group": "[\"output\"]",
        "defaults": {
          "name": "HTTP Request",
          "color": "#0004F5"
        },
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        "displayName": "HTTP Request",
        "typeVersion": 4,
        "nodeCategories": [
          {
            "id": 5,
            "name": "Development"
          },
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 20,
        "icon": "fa:map-signs",
        "name": "n8n-nodes-base.if",
        "codex": {
          "data": {
            "alias": [
              "Router",
              "Filter",
              "Condition",
              "Logic",
              "Boolean",
              "Branch"
            ],
            "details": "The IF node can be used to implement binary conditional logic in your workflow. You can set up one-to-many conditions to evaluate each item of data being inputted into the node. That data will either evaluate to TRUE or FALSE and route out of the node accordingly.\n\nThis node has multiple types of conditions: Bool, String, Number, and Date & Time.",
            "resources": {
              "generic": [
                {
                  "url": "https://n8n.io/blog/learn-to-automate-your-factorys-incident-reporting-a-step-by-step-guide/",
                  "icon": "🏭",
                  "label": "Learn to Automate Your Factory's Incident Reporting: A Step by Step Guide"
                },
                {
                  "url": "https://n8n.io/blog/2021-the-year-to-automate-the-new-you-with-n8n/",
                  "icon": "☀️",
                  "label": "2021: The Year to Automate the New You with n8n"
                },
                {
                  "url": "https://n8n.io/blog/why-business-process-automation-with-n8n-can-change-your-daily-life/",
                  "icon": "🧬",
                  "label": "Why business process automation with n8n can change your daily life"
                },
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              "Notes",
              "Sticky"
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            }
          }
        },
        "group": "[\"input\"]",
        "defaults": {
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          "color": "#FFD233"
        },
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              "Javascript",
              "JS",
              "Python",
              "Script",
              "Custom Code",
              "Function"
            ],
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            "resources": {
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                "Data Transformation"
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            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Code"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "Code",
        "typeVersion": 2,
        "nodeCategories": [
          {
            "id": 5,
            "name": "Development"
          },
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 839,
        "icon": "fa:clock",
        "name": "n8n-nodes-base.scheduleTrigger",
        "codex": {
          "data": {
            "alias": [
              "Time",
              "Scheduler",
              "Polling",
              "Cron",
              "Interval"
            ],
            "resources": {
              "generic": [],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.scheduletrigger/"
                }
              ]
            },
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0"
          }
        },
        "group": "[\"trigger\",\"schedule\"]",
        "defaults": {
          "name": "Schedule Trigger",
          "color": "#31C49F"
        },
        "iconData": {
          "icon": "clock",
          "type": "icon"
        },
        "displayName": "Schedule Trigger",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 844,
        "icon": "fa:filter",
        "name": "n8n-nodes-base.filter",
        "codex": {
          "data": {
            "alias": [
              "Router",
              "Filter",
              "Condition",
              "Logic",
              "Boolean",
              "Branch"
            ],
            "details": "The Filter node can be used to filter items based on a condition. If the condition is met, the item will be passed on to the next node. If the condition is not met, the item will be omitted. Conditions can be combined together by AND(meet all conditions), or OR(meet at least one condition).",
            "resources": {
              "generic": [],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.filter/"
                }
              ]
            },
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Flow",
                "Data Transformation"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Filter",
          "color": "#229eff"
        },
        "iconData": {
          "icon": "filter",
          "type": "icon"
        },
        "displayName": "Filter",
        "typeVersion": 2,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 1119,
        "icon": "fa:robot",
        "name": "@n8n/n8n-nodes-langchain.agent",
        "codex": {
          "data": {
            "alias": [
              "LangChain",
              "Chat",
              "Conversational",
              "Plan and Execute",
              "ReAct",
              "Tools"
            ],
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent/"
                }
              ]
            },
            "categories": [
              "AI",
              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Agents",
                "Root Nodes"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "AI Agent",
          "color": "#404040"
        },
        "iconData": {
          "icon": "robot",
          "type": "icon"
        },
        "displayName": "AI Agent",
        "typeVersion": 3,
        "nodeCategories": [
          {
            "id": 25,
            "name": "AI"
          },
          {
            "id": 26,
            "name": "Langchain"
          }
        ]
      },
      {
        "id": 1179,
        "icon": "fa:code",
        "name": "@n8n/n8n-nodes-langchain.outputParserStructured",
        "codex": {
          "data": {
            "alias": [
              "json",
              "zod"
            ],
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.outputparserstructured/"
                }
              ]
            },
            "categories": [
              "AI",
              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Output Parsers"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Structured Output Parser"
        },
        "iconData": {
          "icon": "code",
          "type": "icon"
        },
        "displayName": "Structured Output Parser",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 25,
            "name": "AI"
          },
          {
            "id": 26,
            "name": "Langchain"
          }
        ]
      },
      {
        "id": 1253,
        "icon": "file:azure.svg",
        "name": "@n8n/n8n-nodes-langchain.lmChatAzureOpenAi",
        "codex": {
          "data": {
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatazureopenai/"
                }
              ]
            },
            "categories": [
              "AI",
              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Language Models",
                "Root Nodes"
              ],
              "Language Models": [
                "Chat Models (Recommended)"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Azure OpenAI Chat Model"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "Azure OpenAI Chat Model",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 25,
            "name": "AI"
          },
          {
            "id": 26,
            "name": "Langchain"
          }
        ]
      }
    ],
    "categories": [
      {
        "id": 39,
        "name": "CRM"
      },
      {
        "id": 51,
        "name": "Multimodal AI"
      }
    ],
    "image": []
  }
}