This workflow follows the HTTP Request → Postgres 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 →
{
"name": "SaaS Synthetic Product Testing Simulator",
"nodes": [
{
"parameters": {},
"id": "e4a86bc7-dcfc-447e-a421-8c348457fcb8",
"name": "Manual Trigger",
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
-2512,
16
]
},
{
"parameters": {
"keepOnlySet": true,
"values": {
"string": [
{
"name": "industry",
"value": "SaaS"
},
{
"name": "productType",
"value": "AI CRM"
},
{
"name": "targetMarket",
"value": "SMEs"
},
{
"name": "datasetSize",
"value": "1000"
},
{
"name": "outputDestination",
"value": "postgres"
}
]
},
"options": {}
},
"id": "f9e439fb-b75d-4bb7-bd91-f5d8a0477eef",
"name": "Set Simulation Config",
"type": "n8n-nodes-base.set",
"typeVersion": 2,
"position": [
-2320,
16
]
},
{
"parameters": {
"functionCode": "const count = parseInt($json.datasetSize || '1000', 10);\nconst companies = [];\nfor (let i = 1; i <= Math.max(1, Math.floor(count / 10)); i++) {\n companies.push({\n companyId: `COMP-${i}`,\n industry: $json.industry,\n productType: $json.productType,\n targetMarket: $json.targetMarket,\n employeeCount: Math.floor(Math.random() * 90) + 10,\n monthlyRevenue: Math.floor(Math.random() * 50000) + 5000,\n growthStage: ['Pre-seed', 'Seed', 'Series A'][Math.floor(Math.random() * 3)]\n });\n}\nreturn companies.map(c => ({ json: c }));"
},
"id": "cafb494d-c887-4a23-8217-cc06449e5ab1",
"name": "Generate Companies",
"type": "n8n-nodes-base.function",
"typeVersion": 1,
"position": [
-2064,
16
]
},
{
"parameters": {
"options": {}
},
"id": "ec50aaa9-7f36-434b-8835-aa6870e7dbbc",
"name": "Loop Companies",
"type": "n8n-nodes-base.splitInBatches",
"typeVersion": 1,
"position": [
-1808,
16
]
},
{
"parameters": {
"functionCode": "const roles = ['Founder', 'Sales Manager', 'Marketing Manager', 'Customer Success', 'Operations'];\nconst users = [];\nfor (let i = 0; i < roles.length; i++) {\n users.push({\n companyId: $json.companyId,\n userId: `${$json.companyId}-USER-${i + 1}`,\n role: roles[i],\n age: Math.floor(Math.random() * 18) + 24,\n experienceYears: Math.floor(Math.random() * 12) + 1,\n salaryBand: ['Low', 'Medium', 'High'][Math.floor(Math.random() * 3)]\n });\n}\nreturn users.map(u => ({ json: u }));"
},
"id": "b8d05304-514e-4243-8aa6-fd1720202508",
"name": "Generate User Personas",
"type": "n8n-nodes-base.function",
"typeVersion": 1,
"position": [
-1568,
16
]
},
{
"parameters": {
"options": {}
},
"id": "6ed071b8-99ce-47c9-a01a-58cdcaf5e249",
"name": "Loop Users",
"type": "n8n-nodes-base.splitInBatches",
"typeVersion": 1,
"position": [
-1312,
16
]
},
{
"parameters": {
"method": "POST",
"url": "https://generativelanguage.googleapis.com/v1beta/models/gemini-3.5-flash-lite:generateContent",
"sendQuery": true,
"queryParameters": {
"parameters": [
{
"name": "key",
"value": ""
}
]
},
"sendHeaders": true,
"headerParameters": {
"parameters": [
{}
]
},
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={{ { \"contents\": [ { \"parts\": [ { \"text\": \"You are a synthetic SaaS user simulator. Generate a strict JSON object for this user. User: \" + $json.userId + \", Role: \" + $json.role + \". Simulate a 30-day product journey with fields: behaviorArchetype, churnRisk, and events (array of objects with day and event). Return JSON only.\" } ] } ] } }}",
"options": {
"batching": {
"batch": {
"batchSize": 10,
"batchInterval": 3000
}
}
}
},
"id": "50dec674-efb1-4a21-8869-bf0f833ced84",
"name": "Generate User Journey",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4,
"position": [
-1072,
16
]
},
{
"parameters": {
"functionCode": "let raw = '';\ntry {\n raw = $json.candidates[0].content.parts[0].text;\n} catch (e) {\n raw = '{}';\n}\nlet parsed;\ntry {\n parsed = JSON.parse(raw);\n} catch (e) {\n parsed = { behaviorArchetype: 'unknown', churnRisk: 'unknown', events: [] };\n}\nreturn [{ json: { ...$json, simulation: parsed } }];"
},
"id": "89c5104d-7842-40da-99f9-2cf9c96b4bb6",
"name": "Parse Journey JSON",
"type": "n8n-nodes-base.function",
"typeVersion": 1,
"position": [
-816,
16
]
},
{
"parameters": {
"functionCode": "const items = $input.all();\nconst output = [];\n\nfor (const item of items) {\n let rawData = item.json;\n\n // 1. Parse JSON if stringified from Gemini\n if (rawData.candidates && rawData.candidates[0]?.content?.parts[0]?.text) {\n let text = rawData.candidates[0].content.parts[0].text;\n text = text.replace(/```json/g, '').replace(/```/g, '').trim();\n try { rawData = JSON.parse(text); } catch (e) {}\n } else if (typeof rawData.body === 'string') {\n try { rawData = JSON.parse(rawData.body.replace(/```json/g, '').replace(/```/g, '').trim()); } catch (e) {}\n } else if (rawData.body && typeof rawData.body === 'object') {\n rawData = rawData.body;\n }\n\n // 2. Dynamic metadata generation per execution batch\n const randomSuffix = Math.floor(1000 + Math.random() * 9000);\n const companyId = rawData.companyId || `COMP-${randomSuffix}`;\n const userId = (rawData.userId && rawData.userId !== 'COMP-1-USER-1') \n ? rawData.userId \n : `USR-${randomSuffix}`;\n \n const role = rawData.role || 'Founder';\n const behaviorArchetype = rawData.behaviorArchetype || 'Power User';\n const churnRisk = rawData.churnRisk || 'Low';\n\n const events = rawData.events || rawData.journey || (Array.isArray(rawData) ? rawData : []);\n const baseDate = new Date();\n\n // 3. Map events with incremental dates per simulated day\n events.forEach((evt, idx) => {\n const dayOffset = evt.day || idx + 1;\n \n // Increment date by the event day number\n const eventTimestamp = new Date(baseDate.getTime() + (dayOffset * 24 * 60 * 60 * 1000));\n\n output.push({\n json: {\n companyId: companyId,\n userId: userId,\n role: role,\n behaviorArchetype: behaviorArchetype,\n churnRisk: churnRisk,\n day: dayOffset,\n event: evt.event || evt.description || 'Action performed',\n eventId: `${userId}-EV-${dayOffset}`,\n simulatedAt: eventTimestamp.toISOString()\n }\n });\n });\n}\n\nreturn output;"
},
"id": "e0a7e6fa-5e4a-447f-b391-9ddbf33cdc18",
"name": "Create Event Records",
"type": "n8n-nodes-base.function",
"typeVersion": 1,
"position": [
-560,
16
]
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 1
},
"conditions": [
{
"id": "92ba2a47-ce4b-4c7a-8ea4-2e02ab083003",
"leftValue": "",
"rightValue": "",
"operator": {
"type": "string",
"operation": "equals"
}
}
],
"combinator": "and"
},
"options": {}
},
"id": "1823b5e5-121b-46d4-8d03-ab7891628966",
"name": "Validate Events",
"type": "n8n-nodes-base.if",
"typeVersion": 2,
"position": [
-320,
16
]
},
{
"parameters": {
"schema": {
"__rl": true,
"mode": "list",
"value": "public"
},
"table": {
"__rl": true,
"value": "synthetic_product_events",
"mode": "list",
"cachedResultName": "synthetic_product_events"
},
"options": {}
},
"id": "1902fe3e-bb87-47d5-b5e8-e0b6b68e9b64",
"name": "Insert into PostgreSQL",
"type": "n8n-nodes-base.postgres",
"typeVersion": 2,
"position": [
-64,
0
],
"credentials": {
"postgres": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"options": {}
},
"id": "98e0d261-b89d-409b-a824-8468bd8e880a",
"name": "Export CSV",
"type": "n8n-nodes-base.spreadsheetFile",
"typeVersion": 2,
"position": [
-64,
224
]
}
],
"connections": {
"Manual Trigger": {
"main": [
[
{
"node": "Set Simulation Config",
"type": "main",
"index": 0
}
]
]
},
"Set Simulation Config": {
"main": [
[
{
"node": "Generate Companies",
"type": "main",
"index": 0
}
]
]
},
"Generate Companies": {
"main": [
[
{
"node": "Loop Companies",
"type": "main",
"index": 0
}
]
]
},
"Loop Companies": {
"main": [
[
{
"node": "Generate User Personas",
"type": "main",
"index": 0
}
]
]
},
"Generate User Personas": {
"main": [
[
{
"node": "Loop Users",
"type": "main",
"index": 0
}
]
]
},
"Loop Users": {
"main": [
[
{
"node": "Generate User Journey",
"type": "main",
"index": 0
}
]
]
},
"Generate User Journey": {
"main": [
[
{
"node": "Parse Journey JSON",
"type": "main",
"index": 0
}
]
]
},
"Parse Journey JSON": {
"main": [
[
{
"node": "Create Event Records",
"type": "main",
"index": 0
}
]
]
},
"Create Event Records": {
"main": [
[
{
"node": "Validate Events",
"type": "main",
"index": 0
}
]
]
},
"Validate Events": {
"main": [
[
{
"node": "Insert into PostgreSQL",
"type": "main",
"index": 0
}
],
[
{
"node": "Export CSV",
"type": "main",
"index": 0
}
]
]
},
"Insert into PostgreSQL": {
"main": [
[
{
"node": "Loop Users",
"type": "main",
"index": 0
}
]
]
},
"Export CSV": {
"main": [
[
{
"node": "Loop Users",
"type": "main",
"index": 0
}
]
]
}
},
"active": false,
"settings": {
"executionOrder": "v1",
"binaryMode": "separate",
"availableInMCP": false
},
"versionId": "957d17f2-1117-494a-a4c8-33ad96456f9c",
"meta": {
"templateCredsSetupCompleted": true
},
"nodeGroups": [],
"id": "htDlDdWqeqcVGFM8",
"tags": []
}
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.
postgres
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
SaaS Synthetic Product Testing Simulator. Uses httpRequest, postgres, spreadsheetFile. Event-driven trigger; 12 nodes.
Source: https://github.com/Sharondroid/saas-synthetic-product-testing-simulator/blob/main/synthetic-data-simulator.json — original creator credit. Request a take-down →
Related workflows
Workflows that share integrations, category, or trigger type with this one. All free to copy and import.
Reagendamiento_v2. Uses executeWorkflowTrigger, redis, httpRequest, n8n-nodes-evolution-api. Event-driven trigger; 89 nodes.
Execute Workflow Trigger, Redis, HTTP Request +3
This workflow acts as a junior finance research analyst for a UK boutique M&A or corporate finance team. It listens for Slack messages, classifies the request, gathers company or market data, and prod
HTTP Request, Google Drive, Google Docs +5
Agendamiento_v2. Uses n8n-nodes-evolution-api, redis, httpRequest, executeWorkflowTrigger. Event-driven trigger; 59 nodes.
N8N Nodes Evolution Api, Redis, HTTP Request +3
Cancelacion_v2. Uses executeWorkflowTrigger, redis, httpRequest, n8n-nodes-evolution-api. Event-driven trigger; 46 nodes.
Execute Workflow Trigger, Redis, HTTP Request +3
04_dados_de_teste. Uses postgres, httpRequest. Event-driven trigger; 41 nodes.
Postgres, HTTP Request