AutomationFlowsData & Sheets › Messy Legacy Workflow

Messy Legacy Workflow

Messy Legacy Workflow. Uses acme-nodes-base, postgres, slack, emailSend. Webhook trigger; 10 nodes.

Webhook trigger★★★★☆ complexity10 nodesAcme Nodes BasePostgresSlackEmail SendGoogle SheetsLegacy
Data & Sheets Trigger: Webhook Nodes: 10 Complexity: ★★★★☆ Added:

This workflow follows the Emailsend → Google Sheets 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 →

Download .json
{
  "id": "demo-messy-legacy",
  "name": "Messy Legacy Workflow",
  "nodes": [
    {
      "id": "legacy-webhook",
      "name": "Legacy Webhook",
      "type": "n8n-nodes-base.webhook",
      "parameters": {
        "path": "legacy/customer-sync",
        "httpMethod": "POST"
      }
    },
    {
      "id": "legacy-switch",
      "name": "Switch Legacy Route",
      "type": "n8n-nodes-base.switch",
      "parameters": {
        "numberOfOutputs": 3,
        "rules": [
          {
            "value1": "={{$json.priority}}",
            "operation": "equal",
            "value2": "high"
          },
          {
            "value1": "={{$json.priority}}",
            "operation": "equal",
            "value2": "normal"
          }
        ]
      }
    },
    {
      "id": "custom-transform",
      "name": "Normalize Customer",
      "type": "acme-nodes-base.customerNormalizer",
      "parameters": {
        "mode": "legacy-demo"
      }
    },
    {
      "id": "crm-update",
      "name": "CRM Update",
      "type": "n8n-nodes-base.postgres",
      "parameters": {
        "operation": "update",
        "table": "customers",
        "matchingColumn": "demo_customer_id"
      }
    },
    {
      "id": "notify-ops",
      "name": "Notify Ops",
      "type": "n8n-nodes-base.slack",
      "parameters": {
        "resource": "message",
        "operation": "post",
        "channel": "#demo-legacy",
        "text": "High priority legacy sync completed."
      }
    },
    {
      "id": "notify-ops-copy",
      "name": "Notify Ops Copy",
      "type": "n8n-nodes-base.emailSend",
      "parameters": {
        "toEmail": "ops@example.test",
        "subject": "Legacy sync completed"
      }
    },
    {
      "id": "audit-append",
      "name": "Append Audit Row",
      "type": "n8n-nodes-base.googleSheets",
      "parameters": {
        "operation": "append",
        "sheetName": "demo_legacy_audit"
      }
    },
    {
      "id": "old-csv-trigger",
      "name": "Old CSV Trigger",
      "type": "n8n-nodes-base.manualTrigger",
      "parameters": {}
    },
    {
      "id": "old-csv-mapper",
      "name": "Normalize Customer Copy",
      "type": "n8n-nodes-base.function",
      "parameters": {
        "functionCode": "return items;"
      }
    },
    {
      "id": "dead-helper",
      "name": "Dead Legacy Helper",
      "type": "legacy.internalHelper",
      "parameters": {
        "note": "Intentionally isolated demo node."
      }
    }
  ],
  "connections": {
    "Legacy Webhook": {
      "main": [
        [
          {
            "node": "Switch Legacy Route",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Switch Legacy Route": {
      "main": [
        [
          {
            "node": "Normalize Customer",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "CRM Update",
            "type": "main",
            "index": 0
          }
        ],
        []
      ]
    },
    "Normalize Customer": {
      "main": [
        [
          {
            "node": "CRM Update",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "CRM Update": {
      "main": [
        [
          {
            "node": "Notify Ops",
            "type": "main",
            "index": 0
          },
          {
            "node": "Notify Ops Copy",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Notify Ops": {
      "main": [
        [
          {
            "node": "Append Audit Row",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Notify Ops Copy": {
      "main": [
        [
          {
            "node": "Append Audit Row",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Old CSV Trigger": {
      "main": [
        [
          {
            "node": "Normalize Customer Copy",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}
Pro

For the full experience including quality scoring and batch install features for each workflow upgrade to Pro

About this workflow

Messy Legacy Workflow. Uses acme-nodes-base, postgres, slack, emailSend. Webhook trigger; 10 nodes.

Source: https://github.com/jiushiaaa/OpenWorkflowDoctor/blob/928f5f7581953242b109acc52aa2db0466a3c92e/samples/n8n/messy-legacy.workflow.json — original creator credit. Request a take-down →

More Data & Sheets workflows → · Browse all categories →

Related workflows

Workflows that share integrations, category, or trigger type with this one. All free to copy and import.

Data & Sheets

Receive request via webhook with customer question Analyze sentiment and detect urgency using JavaScript Send urgent alerts to Slack for critical cases Search knowledge base and fetch conversation his

HTTP Request, Postgres, Email Send +1
Data & Sheets

PURPOSE: Automatically send professional appointment reminders via email and SMS to reduce no-shows and improve patient experience.

Google Sheets, Airtable, Email Send +2
Data & Sheets

zaad9_teams_dane. Uses emailSend, airtable, slack, microsoftTeams. Webhook trigger; 7 nodes.

Email Send, Airtable, Slack +2
Data & Sheets

aula-00-mapa-do-n8n. Uses emailReadImap, stopAndError, httpRequest, graphql. Event-driven trigger; 46 nodes.

Email Read Imap, Stop And Error, HTTP Request +14
Data & Sheets

Scheduled processes retrieve customer feedback from multiple channels. The system performs sentiment analysis to classify tone, then uses OpenAI models to extract themes, topics, and urgency indicator

HTTP Request, Lm Chat Azure Open Ai, Sentiment Analysis +5