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 →
{
"meta": {
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "a2061232-329f-4288-9b01-ba832463c31e",
"name": "Execute Workflow Trigger",
"type": "n8n-nodes-base.executeWorkflowTrigger",
"position": [
2280,
-400
],
"parameters": {},
"typeVersion": 1
},
{
"id": "42df9296-82ac-44cd-8370-50e4507fb91d",
"name": "Check if Product Data Found",
"type": "n8n-nodes-base.if",
"position": [
2800,
-340
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "1a67895e-3ab7-4c93-8e16-202b3882ded5",
"operator": {
"type": "array",
"operation": "lengthGte",
"rightType": "number"
},
"leftValue": "={{ $json.AIoutput.ProductFeedback }}",
"rightValue": 1
}
]
}
},
"typeVersion": 2.2
},
{
"id": "84e93120-92d8-45fd-bb63-8626743e7fe0",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
2720,
-580
],
"parameters": {
"color": 7,
"width": 1340,
"height": 440,
"content": "## Product Data Processing"
},
"typeVersion": 1
},
{
"id": "5cb1df66-abba-4d82-8fe5-c2313c8f7b44",
"name": "Sticky Note6",
"type": "n8n-nodes-base.stickyNote",
"position": [
2140,
-760
],
"parameters": {
"color": 7,
"width": 560,
"height": 620,
"content": "## Receives AI Data from other workflow\n"
},
"typeVersion": 1
},
{
"id": "7c046627-f418-4b7e-aa5b-7cff69f98f59",
"name": "Sticky Note7",
"type": "n8n-nodes-base.stickyNote",
"position": [
1780,
-960
],
"parameters": {
"width": 340,
"height": 820,
"content": "\n## CallForge - The AI Gong Sales Call Processor\nCallForge allows you to extract important information for different departments from your Sales Gong Calls. \n\n### AI Output Processor\nOnce the AI data is generated, it is then added (or not!) to the Notion Database here. This is also where the Pipedrive or Salesforce integration will be added once that portion is complete. "
},
"typeVersion": 1
},
{
"id": "a04dac9d-5477-41a3-8696-1871c1cccf53",
"name": "Create Product Data Object1",
"type": "n8n-nodes-base.notion",
"position": [
3280,
-940
],
"parameters": {
"title": "={{ $('Execute Workflow Trigger').item.json.metaData.title }}",
"options": {
"icon": "\ud83d\udcac"
},
"resource": "databasePage",
"databaseId": {
"__rl": true,
"mode": "list",
"value": "1775b6e0-c94f-80ac-9885-d9695af5bc89",
"cachedResultUrl": "https://www.notion.so/1775b6e0c94f80ac9885d9695af5bc89",
"cachedResultName": "AI use-case database"
},
"propertiesUi": {
"propertyValues": [
{
"key": "Company|title",
"title": "={{ $json.metaData.CompanyName }}"
},
{
"key": "Department|multi_select",
"multiSelectValue": "={{ $json.AIoutput.AI_ML_References.Details.Department }}"
},
{
"key": "Dev status|select",
"selectValue": "={{ $json.AIoutput.AI_ML_References.Details.DevelopmentStatus }}"
},
{
"key": "Employees|select",
"selectValue": "={{ $json.sfOpp[0].Employees }}"
},
{
"key": "Engagement with n8n|select",
"selectValue": "Prospect"
},
{
"key": "Requires agents|checkbox",
"checkboxValue": "={{ $json.AIoutput.AI_ML_References.Details.RequiresAgents }}"
},
{
"key": "More info|url",
"urlValue": "={{ $json.metaData.url }}"
},
{
"key": "Requires RAG|checkbox",
"checkboxValue": "={{ $json.AIoutput.AI_ML_References.Details.RequiresRAG }}"
},
{
"key": "Requires chat|select",
"selectValue": "={{ $json.AIoutput.AI_ML_References.Details.RequiresChat }}"
},
{
"key": "Use case|rich_text",
"textContent": "={{ $json.AIoutput.AI_ML_References.Context }}"
}
]
}
},
"credentials": {
"notionApi": {
"name": "<your credential>"
}
},
"retryOnFail": true,
"typeVersion": 2.2,
"waitBetweenTries": 3000
},
{
"id": "66c252a9-e330-4742-84d1-d17042585f79",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
2720,
-1040
],
"parameters": {
"color": 7,
"width": 1340,
"height": 440,
"content": "## AI use Case "
},
"typeVersion": 1
},
{
"id": "caded10f-8662-4a2b-ab47-b1a825c39c4b",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
2720,
-120
],
"parameters": {
"color": 7,
"width": 1340,
"height": 360,
"content": "## AI Mentioned on call"
},
"typeVersion": 1
},
{
"id": "750c2853-3653-4557-b636-354fd91f846b",
"name": "Create Product Feedback Data Object",
"type": "n8n-nodes-base.notion",
"position": [
3440,
-480
],
"parameters": {
"title": "={{ $('Execute Workflow Trigger').item.json.metaData.title }}",
"options": {
"icon": "\ud83d\udcac"
},
"resource": "databasePage",
"databaseId": {
"__rl": true,
"mode": "list",
"value": "1375b6e0-c94f-80a8-93c9-c623b76dd14a",
"cachedResultUrl": "https://www.notion.so/1375b6e0c94f80a893c9c623b76dd14a",
"cachedResultName": "Product Feedback"
},
"propertiesUi": {
"propertyValues": [
{
"key": "Sentiment|multi_select",
"multiSelectValue": "={{ $json.Sentiment }}"
},
{
"key": "Feedback|title",
"title": "={{ $json.Feedback }}"
},
{
"key": "Feedback Date|date",
"date": "={{ $('Execute Workflow Trigger').item.json.metaData.started }}"
},
{
"key": "Sales Call Summaries|relation",
"relationValue": [
"={{ $('Execute Workflow Trigger').item.json.notionData[0].id }}"
]
}
]
}
},
"credentials": {
"notionApi": {
"name": "<your credential>"
}
},
"retryOnFail": true,
"typeVersion": 2.2,
"waitBetweenTries": 3000
},
{
"id": "343f536f-2aa3-4fc9-9c75-e288a5019b84",
"name": "Check if AI Use Case Data Found",
"type": "n8n-nodes-base.if",
"position": [
2800,
-800
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "1a67895e-3ab7-4c93-8e16-202b3882ded5",
"operator": {
"type": "boolean",
"operation": "true",
"singleValue": true
},
"leftValue": "={{ $json.AIoutput.AI_ML_References.Exist }}",
"rightValue": 1
}
]
}
},
"typeVersion": 2.2
},
{
"id": "3d261de2-61fe-40e8-806b-f311b72081f0",
"name": "Check if AI Mentioned On Call",
"type": "n8n-nodes-base.if",
"position": [
2860,
40
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "1a67895e-3ab7-4c93-8e16-202b3882ded5",
"operator": {
"type": "boolean",
"operation": "true",
"singleValue": true
},
"leftValue": "={{ $json.AIoutput.AI_ML_References.Exist }}",
"rightValue": 1
}
]
}
},
"typeVersion": 2.2
},
{
"id": "e422c25b-05c0-4549-a12b-50b727cbcb83",
"name": "Wait for rate limiting - AI Use Case",
"type": "n8n-nodes-base.wait",
"position": [
3020,
-940
],
"parameters": {
"amount": 3
},
"typeVersion": 1.1
},
{
"id": "9ceb4ac2-6539-4c19-b207-883d61670c07",
"name": "Wait for rate limiting - Product Data",
"type": "n8n-nodes-base.wait",
"position": [
3020,
-480
],
"parameters": {
"amount": 3
},
"typeVersion": 1.1
},
{
"id": "61d6864c-a7fa-488e-a252-f60b497de675",
"name": "Split Out Product Data",
"type": "n8n-nodes-base.splitOut",
"position": [
3220,
-480
],
"parameters": {
"options": {},
"fieldToSplitOut": "AIoutput.ProductFeedback"
},
"typeVersion": 1
},
{
"id": "49bd2056-4eeb-43d7-a210-e4b777fd8535",
"name": "Bundle AI Use Case Data to 1 object",
"type": "n8n-nodes-base.aggregate",
"position": [
3540,
-940
],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData",
"destinationFieldName": "tagdata"
},
"typeVersion": 1
},
{
"id": "ce6e127d-9ff0-493c-bb47-02c30594f0e2",
"name": "Bundle Product Feedback Data to 1 object",
"type": "n8n-nodes-base.aggregate",
"position": [
3660,
-480
],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData",
"destinationFieldName": "tagdata"
},
"typeVersion": 1
},
{
"id": "ce06a39c-8066-4a3a-9ef4-b8bf6d14273a",
"name": "Merge AI Use Case Thread",
"type": "n8n-nodes-base.set",
"position": [
3860,
-780
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "d8fc65ad-2b05-40c1-84c7-7bda819f0f1f",
"name": "aiResponse",
"type": "object",
"value": "={{ $('Execute Workflow Trigger').item.json.aiResponse }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "1d64eff6-442a-4f71-a497-d6261bf4753f",
"name": "Merge Product Feedback Thread",
"type": "n8n-nodes-base.set",
"position": [
3880,
-320
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "d8fc65ad-2b05-40c1-84c7-7bda819f0f1f",
"name": "aiResponse",
"type": "object",
"value": "={{ $('Execute Workflow Trigger').item.json.aiResponse }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "50116044-d468-4f07-a711-8373c1b26e94",
"name": "Update Call with AI Data Summary",
"type": "n8n-nodes-base.notion",
"position": [
3180,
-40
],
"parameters": {
"pageId": {
"__rl": true,
"mode": "id",
"value": "={{ $('Execute Workflow Trigger').item.json.notionData[0].id }}"
},
"options": {},
"resource": "databasePage",
"operation": "update",
"propertiesUi": {
"propertyValues": [
{
"key": "AI Related|checkbox",
"checkboxValue": "={{ $json.AIoutput.AI_ML_References.Exist }}"
},
{
"key": "AI Summary|rich_text",
"textContent": "={{ $json.AIoutput.AI_ML_References.Context }}"
}
]
}
},
"credentials": {
"notionApi": {
"name": "<your credential>"
}
},
"retryOnFail": true,
"typeVersion": 2.2,
"waitBetweenTries": 3000
}
],
"connections": {
"Split Out Product Data": {
"main": [
[
{
"node": "Create Product Feedback Data Object",
"type": "main",
"index": 0
}
]
]
},
"Execute Workflow Trigger": {
"main": [
[
{
"node": "Check if Product Data Found",
"type": "main",
"index": 0
},
{
"node": "Check if AI Use Case Data Found",
"type": "main",
"index": 0
},
{
"node": "Check if AI Mentioned On Call",
"type": "main",
"index": 0
}
]
]
},
"Check if Product Data Found": {
"main": [
[
{
"node": "Wait for rate limiting - Product Data",
"type": "main",
"index": 0
}
],
[
{
"node": "Merge Product Feedback Thread",
"type": "main",
"index": 0
}
]
]
},
"Create Product Data Object1": {
"main": [
[
{
"node": "Bundle AI Use Case Data to 1 object",
"type": "main",
"index": 0
}
]
]
},
"Check if AI Mentioned On Call": {
"main": [
[
{
"node": "Update Call with AI Data Summary",
"type": "main",
"index": 0
}
]
]
},
"Merge Product Feedback Thread": {
"main": [
[]
]
},
"Check if AI Use Case Data Found": {
"main": [
[
{
"node": "Wait for rate limiting - AI Use Case",
"type": "main",
"index": 0
}
],
[
{
"node": "Merge AI Use Case Thread",
"type": "main",
"index": 0
}
]
]
},
"Bundle AI Use Case Data to 1 object": {
"main": [
[
{
"node": "Merge AI Use Case Thread",
"type": "main",
"index": 0
}
]
]
},
"Create Product Feedback Data Object": {
"main": [
[
{
"node": "Bundle Product Feedback Data to 1 object",
"type": "main",
"index": 0
}
]
]
},
"Wait for rate limiting - AI Use Case": {
"main": [
[
{
"node": "Create Product Data Object1",
"type": "main",
"index": 0
}
]
]
},
"Wait for rate limiting - Product Data": {
"main": [
[
{
"node": "Split Out Product Data",
"type": "main",
"index": 0
}
]
]
},
"Bundle Product Feedback Data to 1 object": {
"main": [
[
{
"node": "Merge Product Feedback Thread",
"type": "main",
"index": 0
}
]
]
}
}
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
notionApi
Pro
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How this works
This workflow streamlines product data management by automatically splitting and processing information from incoming events, ensuring that only verified data proceeds to your Notion database for organised storage. It's ideal for e-commerce managers or content teams handling frequent product updates, saving hours of manual sorting and reducing errors in inventory tracking. The key step involves an initial check to confirm product data exists, followed by creating a structured object in Notion to capture essential details like descriptions and prices.
Use this workflow when dealing with event-driven product feeds from suppliers or APIs that require clean separation of valid entries, particularly in scalable operations with Notion as your central hub. Avoid it for one-off data imports or when your system lacks event triggers, as it relies on real-time inputs. Common variations include adding email notifications for failed splits or integrating with Google Sheets for backup storage.
About this workflow
Wait Splitout. Uses executeWorkflowTrigger, stickyNote, notion, splitOut. Event-driven trigger; 19 nodes.
Source: https://github.com/Zie619/n8n-workflows — original creator credit. Request a take-down →
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