This workflow corresponds to n8n.io template #17083 — we link there as the canonical source.
This workflow follows the Agent → Emailsend recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"id": "FpauF9jfmoRaFe8q",
"meta": {
"templateCredsSetupCompleted": true
},
"name": "Zoom AI Meeting Assistant",
"tags": [],
"nodes": [
{
"id": "8b19b003-eb70-41b2-88a3-f9b1618634ef",
"name": "Main Overview",
"type": "n8n-nodes-base.stickyNote",
"position": [
5408,
1024
],
"parameters": {
"color": 7,
"width": 580,
"height": 1720,
"content": "## \ud83d\udcf9 Zoom AI Meeting Assistant\n\nPulls the transcript and participants from your most recent Zoom meeting, emails a formatted summary to attendees, and runs a second AI agent that logs action items in ClickUp and books the follow-up call in Outlook.\n\n**Perfect for:** Founders, consultants, and small teams who want meeting minutes, to-dos, and follow-up scheduling handled automatically after every call.\n\n---\n\n## How it works\n\n1. **When clicking 'Test workflow'** \u2014 Manual trigger that starts the run.\n2. **Zoom: Get data of last meeting** \u2014 Fetches all scheduled Zoom meetings via OAuth2.\n3. **Filter: Last 24 hours** \u2014 Keeps only meetings that started within the last 24 hours.\n4. **Zoom: Get transcripts data** \u2014 Requests the recording files for the matched meeting.\n5. **No Recording/Transcript available** \u2014 *(error path)* Stops the workflow with an error if no transcript could be retrieved.\n6. **Filter transcript URL** \u2014 Extracts the transcript file's download URL from the recording files.\n7. **Filter: Only 1 item** \u2014 SplitInBatches loop that ensures only a single item is processed.\n8. **Zoom: Get transcript file** \u2014 Downloads the raw transcript file from Zoom.\n9. **Extract text from transcript file** \u2014 Converts the downloaded file into plain text.\n10. **Format transcript text** \u2014 Cleans the raw transcript into readable dialogue lines.\n11. **Zoom: Get participants data** \u2014 Fetches the participant list and emails for the meeting.\n12. **Create meeting summary** \u2014 OpenAI node that turns the transcript and participants into formal meeting minutes.\n13. **Sort for mail delivery** \u2014 Prepares the subject, recipient, and body for the summary email.\n14. **Format to html** \u2014 Converts the minutes into a styled HTML email body.\n15. **Send meeting summary** \u2014 Sends the formatted meeting minutes by email via SMTP.\n16. **Create tasks and follow-up call** \u2014 *(parallel branch)* AI agent that reads the same transcript to extract to-dos and follow-up meeting details.\n17. **OpenAI Chat Model** \u2014 LLM brain for the task and follow-up agent.\n18. **Create tasks** \u2014 Tool-workflow node the agent calls to create each ClickUp task.\n19. **Create follow-up call** \u2014 Outlook Calendar tool the agent calls to schedule the next meeting.\n20. **Execute Workflow Trigger** \u2014 *(disabled)* Entry point used when this workflow is invoked as the ClickUp task-creation tool.\n21. **Split Out** \u2014 Splits the incoming task array into individual items.\n22. **ClickUp** \u2014 Creates each task in the configured ClickUp list.\n\n---\n\n## Setup (~20 minutes)\n\n1. **Zoom** \u2014 Connect your OAuth2 credential in *Zoom: Get data of last meeting*, *Zoom: Get transcripts data*, *Zoom: Get transcript file*, and *Zoom: Get participants data*.\n2. **OpenAI** \u2014 Add your API key in *OpenAI Chat Model* and *Create meeting summary*.\n3. **SMTP** \u2014 Connect your email credential and sender address in *Send meeting summary*.\n4. **Microsoft Outlook** \u2014 Connect your credential and target calendar in *Create follow-up call*.\n5. **ClickUp** \u2014 Connect your credential in the *ClickUp* node and set your list, team, space, and folder IDs.\n> Enable the disabled *Execute Workflow Trigger* if you want this workflow to also act as its own ClickUp task-creation sub-flow, called by *Create tasks*."
},
"typeVersion": 1
},
{
"id": "54704b3e-72e8-46d5-90df-9c43646dd841",
"name": "Section - Zoom Retrieval & Transcript Processing",
"type": "n8n-nodes-base.stickyNote",
"position": [
6592,
1024
],
"parameters": {
"color": 5,
"width": 1960,
"height": 560,
"content": "## 1\ufe0f\u20e3 Zoom Retrieval & Transcript Processing\n\n**When clicking 'Test workflow'** starts the run and **Zoom: Get data of last meeting** lists scheduled meetings, narrowed by **Filter: Last 24 hours**. **Zoom: Get transcripts data** fetches the recording files (falling back to **No Recording/Transcript available** on error), **Filter transcript URL** and **Filter: Only 1 item** isolate the transcript, and **Zoom: Get transcript file**, **Extract text from transcript file**, **Format transcript text**, and **Zoom: Get participants data** turn it into clean text with participant details."
},
"typeVersion": 1
},
{
"id": "4c25db4c-b530-48f7-94a9-db0d80a461e8",
"name": "Section - Meeting Summary & Email",
"type": "n8n-nodes-base.stickyNote",
"position": [
8592,
912
],
"parameters": {
"color": 3,
"width": 1000,
"height": 360,
"content": "## 2\ufe0f\u20e3 Meeting Summary & Email\n\n**Create meeting summary** turns the transcript and participant list into formal minutes. **Sort for mail delivery** prepares the subject, recipient, and body, **Format to html** builds the email markup, and **Send meeting summary** delivers it over SMTP."
},
"typeVersion": 1
},
{
"id": "f644adde-b95a-47b4-90a2-3bde982b7f0b",
"name": "Section - Task & Follow-up Agent",
"type": "n8n-nodes-base.stickyNote",
"position": [
8592,
1296
],
"parameters": {
"color": 6,
"width": 700,
"height": 680,
"content": "## 3\ufe0f\u20e3 Task & Follow-up Agent\n\n**Create tasks and follow-up call** is an AI agent, powered by the **OpenAI Chat Model**, that reads the same transcript to extract action items and follow-up meeting details. It calls **Create tasks** to log to-dos in ClickUp and **Create follow-up call** to schedule the next meeting on Outlook Calendar."
},
"typeVersion": 1
},
{
"id": "44e4aa92-8dae-4470-a0fe-95d6c7d719cd",
"name": "Section - ClickUp Task Sub-Workflow",
"type": "n8n-nodes-base.stickyNote",
"position": [
7696,
1648
],
"parameters": {
"color": 4,
"width": 800,
"height": 360,
"content": "## 4\ufe0f\u20e3 ClickUp Task Sub-Workflow\n\nThis disabled **Execute Workflow Trigger** is the entry point used when the workflow is called as the ClickUp tool. **Split Out** breaks the incoming task array into individual items, and **ClickUp** creates each one in the configured list."
},
"typeVersion": 1
},
{
"id": "5419926c-2b5d-4d83-918d-2f885538ae53",
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
8704,
1776
],
"parameters": {
"model": "gpt-4o",
"options": {}
},
"typeVersion": 1
},
{
"id": "11653ff2-2dab-4c9c-82e9-e09cab4d6985",
"name": "When clicking \u2018Test workflow\u2019",
"type": "n8n-nodes-base.manualTrigger",
"position": [
6704,
1184
],
"parameters": {},
"typeVersion": 1
},
{
"id": "57c8c2c0-2cc6-4c6f-85b7-5160d81a8754",
"name": "No Recording/Transcript available",
"type": "n8n-nodes-base.stopAndError",
"position": [
7424,
1392
],
"parameters": {
"errorMessage": "={{ $json.error.cause.message }}"
},
"typeVersion": 1
},
{
"id": "b0d32291-3cc7-4568-8780-0b4b06be00ad",
"name": "Zoom: Get data of last meeting",
"type": "n8n-nodes-base.zoom",
"position": [
6880,
1184
],
"parameters": {
"filters": {
"type": "scheduled"
},
"operation": "getAll",
"returnAll": true,
"authentication": "oAuth2"
},
"typeVersion": 1
},
{
"id": "3d147bbb-0c2a-48d6-a5b4-143e514e0c26",
"name": "Filter transcript URL",
"type": "n8n-nodes-base.set",
"onError": "continueRegularOutput",
"position": [
7424,
1184
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "ef149af8-7f9d-4e5a-8ccf-4a5f1e09eecc",
"name": "transcript_file",
"type": "string",
"value": "={{ $json.recording_files.find(f => f.file_type === 'TRANSCRIPT').download_url }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "c4cad613-5097-433d-ac4e-131d79bfa807",
"name": "Filter: Only 1 item",
"type": "n8n-nodes-base.splitInBatches",
"position": [
7600,
1184
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "b9fe8002-225e-43af-9bac-005f8f281bb0",
"name": "Zoom: Get transcript file",
"type": "n8n-nodes-base.httpRequest",
"position": [
7776,
1184
],
"parameters": {
"url": "={{ $json.transcript_file }}",
"options": {},
"authentication": "predefinedCredentialType",
"nodeCredentialType": "zoomOAuth2Api"
},
"typeVersion": 4.2
},
{
"id": "ab731432-4c2a-4b0c-8fd2-e08d1ed435cc",
"name": "Extract text from transcript file",
"type": "n8n-nodes-base.extractFromFile",
"position": [
7952,
1184
],
"parameters": {
"options": {},
"operation": "text"
},
"typeVersion": 1
},
{
"id": "2a36fe88-d7d6-468e-84c3-55eee45baf2f",
"name": "Format transcript text",
"type": "n8n-nodes-base.set",
"position": [
8144,
1184
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "7+1234567890ef-4b0a-a747-3ca5f46aeeaa",
"name": "transcript",
"type": "string",
"value": "={{ $json.data.split('\\r\\n\\r\\n').slice(1).map(block => {\n const lines = block.split('\\r\\n');\n return lines.slice(2).join(' ');\n}).join('\\n') }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "9823ee89-7c92-4117-8ad7-120e1cf63fd6",
"name": "Zoom: Get participants data",
"type": "n8n-nodes-base.httpRequest",
"position": [
8304,
1184
],
"parameters": {
"url": "=https://api.zoom.us/v2/past_meetings/{{ $('Filter: Last 24 hours').item.json.id }}/participants",
"options": {},
"authentication": "predefinedCredentialType",
"nodeCredentialType": "zoomOAuth2Api"
},
"typeVersion": 4.2
},
{
"id": "efece76f-9262-45df-8fe5-44fd9ff6aa87",
"name": "Create meeting summary",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
8704,
1072
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4o",
"cachedResultName": "GPT-4O"
},
"options": {},
"messages": {
"values": [
{
"content": "=Create a formal meeting minutes document from the following transcript and meeting details.\n\nMeeting Date: {{ $('Zoom: Get data of last meeting').item.json.start_time }} // This needs to be formatted from the meeting details\nParticipants: {{ $json.participants.map(p => p.name + ' (' + p.user_email + ')').join(', ') }}\n\nTranscript:\n{{ $('Format transcript text').item.json.transcript }}\n\nPlease create the minutes in the following format:\n\nMeeting on [Date]\n\nParticipants:\n[List of participants with email addresses]\n\nSummary of the Meeting:\n[Brief and concise summary of the topics discussed]\n\nTasks:\n- [Task] (Responsible: [Name])\n- ...\n\nImportant Dates:\n- [Date] ([Context])\n- ...\n"
}
]
}
},
"typeVersion": 1.8
},
{
"id": "f60e1261-8d26-484d-b7ac-ba582333d205",
"name": "Sort for mail delivery",
"type": "n8n-nodes-base.set",
"position": [
9024,
1072
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "cc51b7e4-d5c2-4cd4-9488-4d181eaaa02e",
"name": "subject",
"type": "string",
"value": "=Meeting summary: {{ $('Zoom: Get data of last meeting').item.json.topic }} on {{ $('Zoom: Get data of last meeting').item.json.start_time }}"
},
{
"id": "f3940ea2-9084-4c25-828e-5ddaa428ec83",
"name": "=to",
"type": "string",
"value": "={{ $('Zoom: Get participants data').item.json.participants[0].user_email }}"
},
{
"id": "1211af5b-2240-44ce-9df7-63d93f57806e",
"name": "body",
"type": "string",
"value": "={{ $json.message.content }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "eccd1c08-5a0e-4876-a04a-d970b53e5d77",
"name": "Format to html",
"type": "n8n-nodes-base.code",
"position": [
9184,
1072
],
"parameters": {
"jsCode": "const items = [];\n\nfor (const item of $input.all()) {\n const body = item.json.body;\n if (!body) continue;\n\n // Simple split approach\n const sections = body.split('\\n\\n');\n const title = sections[0].replace(/\\*\\*/g, '');\n const participants = sections[1].split('\\n').slice(1).join('\\n');\n const summary = sections[2].split('\\n').slice(1).join('\\n');\n const tasks = sections[3].split('\\n').slice(1).join('\\n');\n const dates = sections[4].split('\\n').slice(1).join('\\n');\n\n const html = `<html>\n<body style=\"font-family: Arial, sans-serif; max-width: 800px; margin: 20px;\">\n<h1 style=\"color: #2c3e50; border-bottom: 2px solid #3498db; padding-bottom: 10px;\">${title}</h1>\n<h2 style=\"color: #2c3e50; margin-top: 20px;\">Participants:</h2>\n<ul style=\"list-style-type: none; padding-left: 20px;\">\n${participants.split('\\n').map(p => `<li>${p.replace('- ', '')}</li>`).join('\\n')}\n</ul>\n<h2 style=\"color: #2c3e50; margin-top: 20px;\">Meeting Summary:</h2>\n<p style=\"margin-left: 20px;\">${summary}</p>\n<h2 style=\"color: #2c3e50; margin-top: 20px;\">Tasks:</h2>\n<ul style=\"margin-left: 20px;\">\n${tasks.split('\\n').map(t => `<li>${t.replace('- ', '')}</li>`).join('\\n')}\n</ul>\n<h2 style=\"color: #2c3e50; margin-top: 20px;\">Important Dates:</h2>\n<ul style=\"margin-left: 20px;\">\n${dates.split('\\n').map(d => `<li>${d.replace('- ', '')}</li>`).join('\\n')}\n</ul>\n</body>\n</html>`;\n\n items.push({\n json: {\n html,\n to: item.json.to,\n subject: item.json.subject\n }\n });\n}\n\nreturn items;"
},
"typeVersion": 2
},
{
"id": "6f9aee9a-e151-4388-bc88-7e7e1d1e8a64",
"name": "Send meeting summary",
"type": "n8n-nodes-base.emailSend",
"position": [
9344,
1072
],
"parameters": {
"html": "={{ $json.html }}",
"options": {},
"subject": "={{ $json.subject }}",
"toEmail": "={{ $json.to }}",
"fromEmail": "user@example.com"
},
"typeVersion": 2.1
},
{
"id": "22e65e55-ea1e-4049-9d36-438c2005d0e0",
"name": "Create tasks",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
8880,
1776
],
"parameters": {
"name": "create_task",
"schemaType": "manual",
"workflowId": {
"__rl": true,
"mode": "list",
"value": "zSKQLEObdU9RiThI",
"cachedResultName": "create_task"
},
"description": "=Use this tool to create a task. \nFor task creation use only action items for me Friedemann, don't use action items for other participants.",
"inputSchema": "{\n \"type\": \"object\",\n \"properties\": {\n \"items\": {\n \"type\": \"array\",\n \"description\": \"An array of tasks\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"name\": {\n \"type\": \"string\",\n \"description\": \"The name of the task\"\n },\n \"description\": {\n \"type\": \"string\",\n \"description\": \"A detailed description of the task\"\n },\n \"due_date\": {\n \"type\": \"string\",\n \"description\": \"Due Date\"\n },\n \"priority\": {\n \"type\": \"string\",\n \"description\": \"Priority. . Please capitalize first letter\"\n },\n \"project_name\": {\n \"type\": \"string\",\n \"description\": \"Name of the project. Word 'Project' shouldn't be included\"\n }\n },\n \"required\": [\n \"name\",\n \"description\",\n \"due_date\",\n \"priority\"\n ],\n \"additionalProperties\": false\n }\n }\n },\n \"required\": [\n \"items\"\n ],\n \"additionalProperties\": false\n}",
"specifyInputSchema": true
},
"typeVersion": 1.3
},
{
"id": "fd99b918-9873-41fc-abc4-9b9ef0f17d75",
"name": "Create tasks and follow-up call",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
8784,
1536
],
"parameters": {
"text": "=<system_prompt>\n\nTODAY IS: {{ $now }}\n\nYOU ARE A MEETING ASSISTANT FOR AUTOMATION IN N8N. YOUR TASK IS TO EFFICIENTLY AND PRECISELY PROCESS INFORMATION FROM ZOOM MEETINGS TO GENERATE TO-DOS AND SCHEDULE FOLLOW-UP MEETINGS. YOU HAVE ACCESS TO THE FOLLOWING DATA:\n\n### INPUTS ###\n- **MEETING TITLE**: {{ $('Zoom: Get data of last meeting').item.json.topic }}\n- **PARTICIPANTS**: {{ $('Zoom: Get participants data').item.json.participants[0].name }}\n- **TRANSCRIPT**: {{ $('Format transcript text').item.json.transcript }}\n\n### YOUR TASKS ###\n1. **CREATE TO-DOS**:\n - IDENTIFY TASKS AND TO-DOS IN THE TRANSCRIPT.\n - FORMULATE CLEAR, CONCRETE TASKS.\n - PASS THESE TASKS TO THE TOOL \"Create tasks\" TO SAVE THEM IN CLICKUP. \n - DATA STRUCTURE:\n - **TASK DESCRIPTION**: Brief description of the task.\n - **ASSIGNED PERSON**: First name from the participant list.\n - **DUE DATE**: Use any date mentioned in the transcript; otherwise, set to \"Not specified.\"\n\n2. **CREATE MEETING**:\n - ANALYZE THE TRANSCRIPT TO IDENTIFY INFORMATION ABOUT THE NEXT MEETING (DATE, TIME, AND TOPIC).\n - PASS THIS INFORMATION TO THE TOOL \"Create follow-up call.\"\n - DATA STRUCTURE:\n - **MEETING TITLE**: \"Follow-up: [Meeting Title]\"\n - **DATE AND TIME**: Determined from the transcript or set to \"Next Tuesday at 10:00 AM\" if no information is provided.\n - **PARTICIPANTS**: Add all participants from the list.\n\n### CHAIN OF THOUGHTS ###\n1. **UNDERSTAND**: Read and analyze the provided inputs (title, participants, transcript).\n2. **IDENTIFY**: Extract relevant information for the to-dos and the next meeting.\n3. **DIVIDE**: Split the task into two separate processes: creating to-dos and creating the meeting.\n4. **STRUCTURE**: Format the results in the required structure for the respective tools.\n5. **TRANSMIT**: Pass the data to the designated tools in n8n.\n6. **VERIFY**: Ensure the data is correct and complete.\n\n### WHAT YOU SHOULD NOT DO ###\n- **NEVER**: Create unclear or vague to-dos.\n- **NEVER**: Ignore missing data \u2013 use default values where uncertain.\n- **NEVER**: Overlook information from the inputs or make incorrect connections.\n- **NEVER**: Transmit tasks or meetings without proper formatting.\n\n### OUTPUT EXAMPLES ###\n1. **TO-DO**:\n - **TASK DESCRIPTION**: \"Prepare presentation for the next meeting.\"\n - **ASSIGNED PERSON**: \"John Doe.\"\n - **DUE DATE**: \"2025-01-25.\"\n\n2. **MEETING**:\n - **MEETING TITLE**: \"Follow-up: Project Discussion.\"\n - **DATE AND TIME**: \"2025-01-28 at 10:00 AM.\"\n - **PARTICIPANTS**: \"John Doe, Jane Example.\"\n\n### NOTES ###\n- EXECUTE YOUR TASKS WITH THE HIGHEST PRECISION AND CONTEXT SENSITIVITY.\n- RELY ON THE PROVIDED DATA AND DEFAULT VALUES WHERE NECESSARY.\n</system_prompt>\n",
"agent": "openAiFunctionsAgent",
"options": {},
"promptType": "define"
},
"typeVersion": 1.7
},
{
"id": "a75f70f2-eaf9-4332-bd2d-ea433039744c",
"name": "Create follow-up call",
"type": "n8n-nodes-base.microsoftOutlookTool",
"position": [
9040,
1776
],
"parameters": {
"subject": "={{ $fromAI(\"meeting_name\",\"Meeting name\",\"string\") }}",
"resource": "event",
"operation": "create",
"calendarId": {
"__rl": true,
"mode": "list",
"value": "AQMkADAwATNiZmYAZC1jYjE5LWExMzQtMDACLTAwCgBGAAAD1gD8iHcpKEiYQc0w4fCLUgcA-79r8r8ac0aInYGVxRUqCwAAAgEGAAAA-79r8r8ac0aInYGVxRUqCwAAAkH-AAAA",
"cachedResultName": "Calendar"
},
"endDateTime": "={{ $fromAI(\"end_date_time\",\"Date and time of meeting end\",\"string\") }}",
"startDateTime": "={{ $fromAI(\"start_date_time\",\"Date and time of meeting start\",\"string\") }}",
"descriptionType": "manual",
"toolDescription": "=Use tool to create Outlook Calendar Event. Use this tool only when transcript contains information that call should be scheduled.",
"additionalFields": {
"timeZone": "Europe/Berlin"
}
},
"typeVersion": 2
},
{
"id": "0095e6e5-7ed0-4b61-ac95-794df97f4797",
"name": "Filter: Last 24 hours",
"type": "n8n-nodes-base.filter",
"position": [
7040,
1184
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "de097a4f-1f3e-4dc0-9ab6-139311ff4676",
"operator": {
"type": "dateTime",
"operation": "afterOrEquals"
},
"leftValue": "={{ $json.start_time }}",
"rightValue": "={{$now.minus({ hours: 24 }).toISO()}}"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "05d06db3-553c-4c39-92da-08fccc649dba",
"name": "Execute Workflow Trigger",
"type": "n8n-nodes-base.executeWorkflowTrigger",
"disabled": true,
"position": [
7808,
1808
],
"parameters": {},
"typeVersion": 1
},
{
"id": "dd972cbb-0e2c-4f5f-a428-38649239adf5",
"name": "Split Out",
"type": "n8n-nodes-base.splitOut",
"position": [
8016,
1808
],
"parameters": {
"options": {},
"fieldToSplitOut": "query.items"
},
"typeVersion": 1
},
{
"id": "6be25e7a-ae6b-441e-a26b-1b390c2e7ed5",
"name": "ClickUp",
"type": "n8n-nodes-base.clickUp",
"position": [
8240,
1808
],
"parameters": {
"list": "901207046581",
"name": "={{ $json.name }}",
"team": "9012366821",
"space": "90122025710",
"folder": "90123813376",
"authentication": "oAuth2",
"additionalFields": {
"content": "={{ $json.description }}",
"dueDate": "={{ $json.due_date }}"
}
},
"typeVersion": 1
},
{
"id": "e85d118d-997b-4b43-b933-3d5ea94f6840",
"name": "Zoom: Get transcripts data",
"type": "n8n-nodes-base.httpRequest",
"onError": "continueErrorOutput",
"position": [
7216,
1184
],
"parameters": {
"url": "=https://api.zoom.us/v2/meetings/{{ $json.id }}/recordings",
"options": {},
"authentication": "predefinedCredentialType",
"nodeCredentialType": "zoomOAuth2Api"
},
"typeVersion": 4.2
}
],
"active": false,
"settings": {
"binaryMode": "separate",
"availableInMCP": false,
"executionOrder": "v1"
},
"versionId": "c86c74bd-3d0b-4b34-aef8-8b3f46d91664",
"nodeGroups": [],
"connections": {
"Split Out": {
"main": [
[
{
"node": "ClickUp",
"type": "main",
"index": 0
}
]
]
},
"Create tasks": {
"ai_tool": [
[
{
"node": "Create tasks and follow-up call",
"type": "ai_tool",
"index": 0
}
]
]
},
"Format to html": {
"main": [
[
{
"node": "Send meeting summary",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "Create tasks and follow-up call",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Filter: Only 1 item": {
"main": [
[
{
"node": "Filter: Only 1 item",
"type": "main",
"index": 0
}
],
[
{
"node": "Zoom: Get transcript file",
"type": "main",
"index": 0
}
]
]
},
"Create follow-up call": {
"ai_tool": [
[
{
"node": "Create tasks and follow-up call",
"type": "ai_tool",
"index": 0
}
]
]
},
"Filter transcript URL": {
"main": [
[
{
"node": "Filter: Only 1 item",
"type": "main",
"index": 0
}
]
]
},
"Filter: Last 24 hours": {
"main": [
[
{
"node": "Zoom: Get transcripts data",
"type": "main",
"index": 0
}
]
]
},
"Create meeting summary": {
"main": [
[
{
"node": "Sort for mail delivery",
"type": "main",
"index": 0
},
{
"node": "Create tasks and follow-up call",
"type": "main",
"index": 0
}
]
]
},
"Format transcript text": {
"main": [
[
{
"node": "Zoom: Get participants data",
"type": "main",
"index": 0
}
]
]
},
"Sort for mail delivery": {
"main": [
[
{
"node": "Format to html",
"type": "main",
"index": 0
}
]
]
},
"Execute Workflow Trigger": {
"main": [
[
{
"node": "Split Out",
"type": "main",
"index": 0
}
]
]
},
"Zoom: Get transcript file": {
"main": [
[
{
"node": "Extract text from transcript file",
"type": "main",
"index": 0
}
]
]
},
"Zoom: Get transcripts data": {
"main": [
[
{
"node": "Filter transcript URL",
"type": "main",
"index": 0
}
],
[
{
"node": "No Recording/Transcript available",
"type": "main",
"index": 0
}
]
]
},
"Zoom: Get participants data": {
"main": [
[
{
"node": "Create meeting summary",
"type": "main",
"index": 0
}
]
]
},
"Zoom: Get data of last meeting": {
"main": [
[
{
"node": "Filter: Last 24 hours",
"type": "main",
"index": 0
}
]
]
},
"Extract text from transcript file": {
"main": [
[
{
"node": "Format transcript text",
"type": "main",
"index": 0
}
]
]
},
"When clicking \u2018Test workflow\u2019": {
"main": [
[
{
"node": "Zoom: Get data of last meeting",
"type": "main",
"index": 0
}
]
]
}
}
}
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About this workflow
This workflow serves a demo web page with an n8n chat widget and runs an OpenAI-powered support agent that looks up WooCommerce orders and DHL tracking details by calling the same workflow as a tool. Serves a demo HTML page via a webhook that embeds the n8n Chat widget…
Source: https://n8n.io/workflows/17083/ — original creator credit. Request a take-down →
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The best content automation template in the market is now even better—with “deep research” on time-sensitive topics\! Unlike most n8n content automation templates that are mainly for “demo purposes,”
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