Back to Request and reply to Google reviews with Twilio SMS, Gmail, and OpenAI
Card snapshot
n8n-workflow-20580.n8n.io
·
2026-10-12 21:00:17 UTC
·
48f68353cf74edfa9ed9b1f4e3bc8da70f58634c21db8dedebc3b56fac0dc1dd
This is a frozen copy of the agent's agent-card.json as we observed it at the timestamp above. We capture a new snapshot every time the card's content hash changes. Useful for: forensic drift analysis, verifying downstream callers see the right version, reproducing routing decisions made historically.
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{
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},
{
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},
{
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{
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},
{
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},
{
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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": "\ud83d\udef5",
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},
{
"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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},
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],
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}
}
},
"group": "[\"input\"]",
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},
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},
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{
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{
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{
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"label": "Automatically Adding Expense Receipts to Google Sheets with Telegram, Mindee, Twilio, and n8n"
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{
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},
{
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{
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{
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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": "file:gmail.svg",
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"form",
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],
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{
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},
{
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},
{
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"icon": "store",
"label": "6 e-commerce workflows to power up your Shopify s"
},
{
"url": "https://n8n.io/blog/how-to-get-started-with-crm-automation-and-no-code-workflow-ideas/",
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},
{
"url": "https://n8n.io/blog/automate-google-apps-for-productivity/",
"icon": "\ud83d\udca1",
"label": "15 Google apps you can combine and automate to increase productivity"
},
{
"url": "https://n8n.io/blog/your-business-doesnt-need-you-to-operate/",
"icon": " \ud83d\udda5\ufe0f",
"label": "Hey founders! Your business doesn't need you to operate"
},
{
"url": "https://n8n.io/blog/using-automation-to-boost-productivity-in-the-workplace/",
"icon": "\ud83d\udcaa",
"label": "Using Automation to Boost Productivity in the Workplace"
}
],
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}
],
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}
]
},
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"codexVersion": "1.0",
"subcategories": {
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]
}
}
},
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},
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"name": "Communication"
},
{
"id": 28,
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}
]
},
{
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"icon": "fa:pause-circle",
"name": "n8n-nodes-base.wait",
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"delay",
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],
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"icon": "\ud83d\udc65",
"label": "How to get started with CRM automation (with 3 no-code workflow ideas"
},
{
"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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],
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"codexVersion": "1.0",
"subcategories": {
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]
}
}
},
"group": "[\"organization\"]",
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"name": "Wait",
"color": "#804050"
},
"iconData": {
"icon": "pause-circle",
"type": "icon"
},
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"typeVersion": 1,
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"name": "Core Nodes"
}
]
},
{
"id": 565,
"icon": "fa:sticky-note",
"name": "n8n-nodes-base.stickyNote",
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"data": {
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"Notes",
"Sticky"
],
"categories": [
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],
"nodeVersion": "1.0",
"codexVersion": "1.0",
"subcategories": {
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]
}
}
},
"group": "[\"input\"]",
"defaults": {
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"color": "#FFD233"
},
"iconData": {
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"type": "icon"
},
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}
]
},
{
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"icon": "file:code.svg",
"name": "n8n-nodes-base.code",
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"data": {
"alias": [
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"Javascript",
"JS",
"Python",
"Script",
"Custom Code",
"Function"
],
"details": "The Code node allows you to execute JavaScript in your workflow.",
"resources": {
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{
"url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.code/"
}
]
},
"categories": [
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"Core Nodes"
],
"nodeVersion": "1.0",
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"subcategories": {
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"Data Transformation"
]
}
}
},
"group": "[\"transform\"]",
"defaults": {
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},
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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": 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": 1153,
"icon": "file:openAiLight.svg",
"name": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"codex": {
"data": {
"resources": {
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatopenai/"
}
]
},
"categories": [
"AI",
"Langchain"
],
"subcategories": {
"AI": [
"Language Models",
"Root Nodes"
],
"Language Models": [
"Chat Models (Recommended)"
]
}
}
},
"group": "[\"transform\"]",
"defaults": {
"name": "OpenAI Chat Model"
},
"iconData": {
"type": "file",
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},
"displayName": "OpenAI Chat Model",
"typeVersion": 1,
"nodeCategories": [
{
"id": 25,
"name": "AI"
},
{
"id": 26,
"name": "Langchain"
}
]
}
]
},
"detail": {
"description": "Quick overview Local service businesses \u2014 plumbers, clinics, salons, contractors, restaurants \u2014 that live or die by Google reviews but never remember to ask, and agencies that want a review engine they can deploy for clients. How it works 1. Three lanes. (1) Review requests: every day at 6 PM the workflow pulls today's completed jobs from Google Sheets, filters for customers with a mobile number who have not been asked in 90 days, texts them your Google review link via Twilio, waits 5 days, then sends one gentle reminder if no review appeared. Every ask and reminder is logged. 2. (2) Review monitoring: every 6 hours it polls for new Google reviews; an AI agent drafts a reply to each one, emails the draft to the owner, and queues it in the PendingReplies tab. 3. (3) Post approved replies: every morning at 9 AM it reads the PendingReplies tab and posts the rows the owner marked Approved, then logs them. Nothing ever posts without human approval. 4. Filters the fetched reviews to only those newer than the last check time, then uses OpenAI to draft a 2\u20133 sentence reply for each review. 5. Appends each draft to the PendingReplies tab in Google Sheets and emails the draft to the owner via Gmail for manual approval. 6. Runs daily at 9 AM, reads PendingReplies from Google Sheets, posts replies for rows marked Approved to the Google Business Profile API, and logs the posted reply to the ReviewLog tab. Setup 1. Connect your own Twilio, Google Sheets and Gmail credentials (all slots are placeholders \u2014 none are included). 2. Fill the three CONFIG nodes (business name, Google review link, owner phone/email, Twilio number, tracker sheet ID). 3. Create Google Sheets tabs named Jobs, ReviewLog, PendingReplies and State. 4. Edit both HTTP nodes with your real Google Business Profile endpoint + credentials; activate the workflow. Requirements - A Twilio account with a phone number, a Google account (Sheets + Gmail), an OpenAI API key, and access to your Google Business Profile (for reading and replying to reviews). Customization - Change the ask/reminder timing and the 90-day cooldown in the Schedule and Wait nodes, edit the SMS copy in the Twilio nodes, adjust the AI reply tone in the agent's system prompt, or add a second review site (Yelp, Facebook) alongside Google."
}
}