{"workflow":{"id":14897,"name":"Detect WooCommerce order fraud and send alerts to Slack","views":0,"recentViews":0,"totalViews":0,"createdAt":"2026-04-08T10:56:26.193Z","description":"# WooCommerce Fraud Detection & Slack Alert Workflow\n\nThis workflow automatically monitors WooCommerce orders, evaluates them for fraud using multiple checks (address mismatch, high-value orders, suspicious emails, admin orders), calculates a fraud score and sends alerts to Slack when risk is detected.\n\n\n### Quick Implementation Steps\n\n1. Import the workflow JSON into n8n\n2. Configure WooCommerce API credentials\n3. Set up Slack API credentials and channel\n4. Adjust fraud rules (amount threshold, email regex, etc.)\n5. Test with sample order data\n6. Activate the workflow\n\n\n## What It Does\n\nThis workflow automates fraud detection for WooCommerce orders by applying multiple validation checks and assigning a fraud score. It starts with scheduled execution, fetches order data and prepares it for evaluation by extracting key details such as billing information, order value and customer email.\n\nOnce the data is prepared, the workflow applies a series of fraud detection rules. These include checking whether billing and shipping details mismatch, identifying high-value orders, detecting suspicious or disposable email addresses and verifying if the order was created by an admin. Each condition contributes to a fraud score based on predefined logic.\n\nFinally, all signals are merged and a fraud score is calculated. If the score crosses the defined threshold, a detailed alert is sent to a Slack channel with complete order and risk information, enabling quick manual review and action.\n\n\n## Who’s It For\n\n- eCommerce store owners using WooCommerce\n- Fraud prevention and risk management teams\n- Operations teams handling order validation\n- Developers building automation workflows in n8n\n- Businesses wanting real-time fraud alerts in Slack\n\n\n## Requirements to Use This Workflow\n\n- n8n instance (self-hosted or cloud)\n- WooCommerce store with API access enabled\n- WooCommerce API credentials configured in n8n\n- Slack workspace with API credentials\n- Slack channel ID for sending alerts\n- Basic understanding of n8n nodes and workflows\n\n\n## How It Works & Set Up\n\n### Setup Instructions\n\n1. Import the workflow JSON into your n8n workspace\n2. Configure the **Schedule Trigger** node to define execution frequency\n3. Set up the **WooCommerce node**:\n   - Add API credentials\n   - Ensure correct store URL\n   - Modify `orderId` if needed\n\n4. Configure **Slack node**:\n   - Connect Slack API credentials\n   - Select or update the target channel\n\n5. Review **Set nodes**:\n   - Ensure fields like email, total and address are correctly mapped\n\n6. Validate **IF conditions**:\n   - Status check (pending/processing)\n   - Address mismatch logic\n   - High-value threshold (default: 500)\n   - Email regex for disposable domains\n\n7. Review **Code node** logic:\n   - Fraud score calculation rules\n   - Adjust scoring weights if needed\n\n8. Test the workflow:\n   - Use sample order data\n   - Verify Slack alert output\n\n9. Activate the workflow for automatic execution\n\n\n## How To Customize Nodes\n\n- **Check High Value (&gt;500)**  \n  Modify the threshold value to match your business needs\n\n- **Detect Disposable Email**  \n  Update regex pattern to include more domains\n\n- **Calculate Fraud Score (Code Node)**  \n  Adjust scoring logic:\n  ```js\n  if ($json.high_value_order) score += 3;\n  ```\n\n- **Fraud Threshold Check**\n  Change minimum score required to trigger alerts\n\n- **Slack Message Node**\n  Customize alert message format and included fields\n\n\n## Add-ons (Enhancements)\n\n- Store fraud results in a database (MySQL, MongoDB, etc.)\n- Automatically cancel or hold suspicious orders via WooCommerce API\n- Send email alerts in addition to Slack notifications\n- Add IP geolocation checks for advanced fraud detection\n- Integrate with third-party fraud detection APIs\n- Add risk categorization (Low / Medium / High)\n\n\n## Use Case Examples\n\n- Detect high-value fraudulent orders before fulfillment\n- Identify mismatched shipping addresses for manual review\n- Flag orders using disposable or temporary email addresses\n- Monitor admin-created orders to reduce internal misuse risk\n- Real-time fraud alerts for operations teams via Slack\n\n&gt; There can be many more use cases depending on how you extend and customize this workflow.\n\n\n## Troubleshooting Guide\n\n| Issue                       | Possible Cause                        | Solution                                     |\n| --------------------------- | ------------------------------------- | -------------------------------------------- |\n| No orders fetched           | Incorrect WooCommerce credentials     | Verify API keys and store URL                |\n| Slack message not sent      | Wrong Slack credentials or channel ID | Reconnect Slack and check channel            |\n| Fraud score always 0        | Conditions not triggering             | Verify IF node logic and data mapping        |\n| Email detection not working | Regex not matching                    | Update regex pattern                         |\n| Workflow not running        | Schedule trigger not configured       | Set interval correctly and activate workflow |\n\n\n## Need Help?\n\nIf you need assistance setting up this workflow, customizing fraud rules or adding advanced features, our [n8n workflow development team](https://www.weblineindia.com/hire-n8n-developers/) at **WeblineIndia** is here to help.\n\nWe can help you:\n\n- Customize this workflow for your business needs\n- Integrate with external systems and APIs\n- Build advanced fraud detection logic\n- Create fully automated eCommerce workflows\n\n👉 [Reach out to WeblineIndia](https://www.weblineindia.com/contact-us.html) for expert support and tailored automation solutions.","workflow":{"id":"bW6ZMtS9WKREWhS0","meta":{"instanceId":"14e4c77104722ab186539dfea5182e419aecc83d85963fe13f6de862c875ebfa","templateCredsSetupCompleted":true},"name":"WooCommerce Fraud Detection & Slack Alert Workflow","tags":[],"nodes":[{"id":"f327a8a4-60cd-4f1b-9293-04283954c39d","name":"Cron: Fetch Orders","type":"n8n-nodes-base.scheduleTrigger","position":[-432,64],"parameters":{"rule":{"interval":[{}]}},"typeVersion":1.2},{"id":"54183cda-42ff-4e26-8a2b-9ce14775f2da","name":"Fetch Order (WooCommerce)","type":"n8n-nodes-base.wooCommerce","position":[-224,64],"parameters":{"orderId":"511","resource":"order","operation":"get"},"credentials":{"wooCommerceApi":{"id":"","name":""}},"typeVersion":1},{"id":"c6aeb846-d50e-45d7-8029-4ed003617812","name":"Normalize Order Data","type":"n8n-nodes-base.set","position":[-16,64],"parameters":{"options":{},"assignments":{"assignments":[{"id":"076de5f0-e11c-4feb-99e8-2d70450b230e","name":"order_id","type":"string","value":"={{ $json.id }}"},{"id":"71e5dc78-2c6f-492f-828f-78038773d0d1","name":"status","type":"string","value":"={{ $json.status }}"},{"id":"e043f0dd-2481-4f06-bb0a-4c6097a678ce","name":"order_total","type":"string","value":"={{ $json.total }}"},{"id":"910ac161-fe51-4cb2-a19e-7b4b8b1fd138","name":"currency","type":"string","value":"={{ $json.currency }}"},{"id":"c3e3a76c-ec8a-4327-84ad-206552320a2e","name":"billing_country","type":"string","value":"={{ $json.billing.country }}"},{"id":"0961b088-0833-4b92-bccd-668253f772dd","name":"billing_postcode","type":"string","value":"={{ $json.billing.postcode }}"},{"id":"7a72f331-12f2-49ef-97da-08669956c32d","name":"shipping_country","type":"string","value":"={{ $json.shipping.country }}"},{"id":"bf327353-fda3-42af-be81-e0185b4f94fd","name":"shipping_postcode","type":"string","value":"={{ $json.shipping.postcode }}"},{"id":"e31064d7-da5a-4e49-a499-0c33e12c8bd2","name":"email","type":"string","value":"={{ $json.billing.email }}"},{"id":"ee0f673b-013b-44b2-b873-b8974f4a8e2f","name":"created_via","type":"string","value":"={{ $json.created_via }}"},{"id":"46c75b55-953c-40a3-8a2b-ac4289a44233","name":"needs_payment","type":"string","value":"={{ $json.needs_payment }}"},{"id":"edbcc767-7f20-4b8e-9388-0dd61d6ee333","name":"customer_ip","type":"string","value":"={{ $json.customer_ip_address }}"}]}},"typeVersion":3.4},{"id":"c4e2d702-2d29-49ba-961a-3cb9487d2d88","name":"Initialize Fraud Flags","type":"n8n-nodes-base.set","position":[176,64],"parameters":{"mode":"raw","options":{},"jsonOutput":"{\n  \"billing_shipping_mismatch\": false,\n  \"high_value_order\": false,\n  \"suspicious_email\": false,\n  \"admin_created\": false\n}\n"},"typeVersion":3.4},{"id":"9187c213-008c-4cb8-bb06-18e104c46922","name":"Check Eligible Status (Pending/Processing)","type":"n8n-nodes-base.if","position":[544,64],"parameters":{"options":{},"conditions":{"options":{"version":2,"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"or","conditions":[{"id":"c6150bbb-b375-4b4c-8bcd-8feb710223b3","operator":{"name":"filter.operator.equals","type":"string","operation":"equals"},"leftValue":"={{ $('Normalize Order Data').item.json.status }}","rightValue":"pending"},{"id":"01ed2894-8c4c-49b8-9005-4eb391da11f3","operator":{"name":"filter.operator.equals","type":"string","operation":"equals"},"leftValue":"={{ $('Normalize Order Data').item.json.status }}","rightValue":"processing"}]}},"typeVersion":2.2},{"id":"deae4649-b8ca-4386-96d0-db4085a77e35","name":"Check Address Mismatch","type":"n8n-nodes-base.if","position":[1136,-400],"parameters":{"options":{},"conditions":{"options":{"version":2,"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"or","conditions":[{"id":"4502debd-dd37-4af7-937c-0216289c2834","operator":{"type":"string","operation":"notEquals"},"leftValue":"={{ $('Normalize Order Data').item.json.billing_postcode }}","rightValue":"={{ $('Normalize Order Data').item.json.shipping_postcode }}"},{"id":"b65dd36f-1ac9-4b25-a192-be840c30cb63","operator":{"type":"string","operation":"notEquals"},"leftValue":"={{ $('Normalize Order Data').item.json.billing_country }}","rightValue":"={{ $('Normalize Order Data').item.json.shipping_country }}"}]}},"typeVersion":2.2},{"id":"710cf0e6-cb3b-4bbf-9256-0e7773318ddf","name":"Flag: Address Mismatch","type":"n8n-nodes-base.set","position":[1376,-416],"parameters":{"options":{},"assignments":{"assignments":[{"id":"8c97c1a4-b266-48cd-b050-68a0c9541254","name":"billing_shipping_mismatch","type":"boolean","value":false}]},"includeOtherFields":true},"typeVersion":3.4},{"id":"1f5ebee0-7470-4b13-821a-334fcd9d29e6","name":"Check High Value (>500)","type":"n8n-nodes-base.if","position":[1120,-32],"parameters":{"options":{},"conditions":{"options":{"version":2,"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"id":"85222dbf-d8f5-41f0-90b8-57b886619c36","operator":{"type":"number","operation":"gt"},"leftValue":"={{ Number($('Normalize Order Data').item.json.order_total) }}","rightValue":500}]}},"typeVersion":2.2},{"id":"a40fda33-4987-4113-8afc-d751a5e10ae1","name":"Flag: High Value Order","type":"n8n-nodes-base.set","position":[1408,-48],"parameters":{"mode":"raw","options":{},"jsonOutput":"{\n  \"high_value_order\": true\n}\n"},"typeVersion":3.4},{"id":"69d73305-c317-4619-86d6-0326cb10ee01","name":"Prepare Email","type":"n8n-nodes-base.set","position":[1120,320],"parameters":{"options":{},"assignments":{"assignments":[{"id":"61699291-bcde-4d4c-94d4-ba6f7b3b8a80","name":"email_lower","type":"string","value":"={{ $('Normalize Order Data').item.json.email }}"}]}},"typeVersion":3.4},{"id":"c025bc59-5f51-44df-a18e-dfd6ab1825fa","name":"Detect Disposable Email","type":"n8n-nodes-base.if","position":[1328,320],"parameters":{"options":{},"conditions":{"options":{"version":2,"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"id":"62b2e6a2-9586-4238-a125-b3470fac22f9","operator":{"type":"string","operation":"regex"},"leftValue":"={{ $json.email_lower }}","rightValue":"(mailinator|tempmail|10minutemail)"}]}},"typeVersion":2.2},{"id":"b0380cf2-4764-4c75-812a-cfaf2bdf7ecc","name":"Flag: Suspicious Email","type":"n8n-nodes-base.set","position":[1568,304],"parameters":{"mode":"raw","options":{},"jsonOutput":"{\n  \"suspicious_email\": true\n}"},"typeVersion":3.4},{"id":"648dcdb8-3349-4cea-a182-8f953d2a1d67","name":"Check Admin Created Order","type":"n8n-nodes-base.if","position":[1104,720],"parameters":{"options":{},"conditions":{"options":{"version":2,"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"id":"547fa801-6707-43ca-a54e-f17c40070ef2","operator":{"name":"filter.operator.equals","type":"string","operation":"equals"},"leftValue":"={{ $('Normalize Order Data').item.json.created_via }}","rightValue":"admin"}]}},"typeVersion":2.2},{"id":"183d9859-1e1d-49a0-a5f4-cd6f94e541f8","name":"Mark Admin Order","type":"n8n-nodes-base.set","position":[1360,704],"parameters":{"options":{},"assignments":{"assignments":[{"id":"4998dc09-ec7c-4348-9e95-a4b91d6f9a70","name":"created_via","type":"string","value":"admin"}]}},"typeVersion":3.4},{"id":"c2a49adf-4efd-4a88-b01a-5384d5c40595","name":"Merge Fraud Signals","type":"n8n-nodes-base.merge","position":[2384,-32],"parameters":{"mode":"combine","options":{"includeUnpaired":true},"combineBy":"combineByPosition","numberInputs":4},"typeVersion":3.2},{"id":"8ad2f551-e9ff-4e73-9248-39004f5818f0","name":"Calculate Fraud Score","type":"n8n-nodes-base.code","position":[2704,0],"parameters":{"jsCode":"let score = 0;\n\nif ($json.billing_shipping_mismatch) score += 2;\nif ($json.high_value_order) score += 3;\nif ($json.suspicious_email) score += 1;\n\n// reduce risk if order created by admin\nif ($json.created_via === 'admin') score -= 2;\n\n// never allow negative score\nif (score < 0) score = 0;\n\nreturn [{\n  json: {\n    ...$json,\n    fraud_score: score\n  }\n}];\n"},"typeVersion":2},{"id":"0aca5161-c3e5-49bc-a4c7-d919ff9873a4","name":"Fraud Threshold Check","type":"n8n-nodes-base.if","position":[3008,0],"parameters":{"options":{},"conditions":{"options":{"version":2,"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"id":"29d08cb7-13f1-4200-8e4c-2ec7a8105fe3","operator":{"type":"number","operation":"gte"},"leftValue":"={{ $json.fraud_score }}","rightValue":1}]}},"typeVersion":2.2},{"id":"2c2e53b8-dfb0-484a-8d1f-3f63d678352f","name":"Send Slack Fraud Alert","type":"n8n-nodes-base.slack","position":[3392,-16],"webhookId":"e9f5b46c-8732-48e3-b7d4-f4549b9e9bee","parameters":{"text":"=🚨 Fraud Alert Detected  \nOrder ID: {{ $('Fetch Order (WooCommerce)').item.json.id }} \nOrder Amount: ₹{{ $('Fetch Order (WooCommerce)').item.json.total }}\nCustomer:  {{ $('Fetch Order (WooCommerce)').item.json.billing.first_name }}{{ $('Fetch Order (WooCommerce)').item.json.billing.last_name }}\nEmail: {{ $('Fetch Order (WooCommerce)').item.json.billing.email }} \nPhone: {{ $('Fetch Order (WooCommerce)').item.json.shipping.phone }} \nFraud Score: {{ $json.fraud_score }}  \nBilling & Shipping Mismatch: {{ $json.billing_shipping_mismatch }} \nHigh Value Order: {{ $json.high_value_order }}\nSuspicious Email: {{ $json.suspicious_email }}\nCreated Via: {{ $json.created_via }} \nShipping Address: {{ $('Fetch Order (WooCommerce)').item.json.shipping.address_1 }} {{ $('Fetch Order (WooCommerce)').item.json.shipping.address_2 }} {{ $('Fetch Order (WooCommerce)').item.json.shipping.city }} {{ $('Fetch Order (WooCommerce)').item.json.shipping.state }}{{ $('Fetch Order (WooCommerce)').item.json.shipping.postcode }}\nPayment Status: {{ $('Fetch Order (WooCommerce)').item.json.payment_method }}\n","select":"channel","channelId":{"__rl":true,"mode":"list","value":"C09S57E2JQ2","cachedResultName":"n8n"},"otherOptions":{}},"credentials":{"slackApi":{"id":"","name":""}},"typeVersion":2.3},{"id":"47b34f8d-0871-4ec3-819a-453f7ef81128","name":"Sticky Note","type":"n8n-nodes-base.stickyNote","position":[-496,-112],"parameters":{"color":7,"width":896,"height":416,"content":"## Order Retrieval & Preparation\nThis section triggers the workflow on a schedule, fetches order details from WooCommerce and standardizes the data. It also initializes default fraud flags to ensure all checks start with consistent values before applying any fraud detection logic."},"typeVersion":1},{"id":"fab791d3-ee5e-401a-946f-ae9720939e6d","name":"Sticky Note1","type":"n8n-nodes-base.stickyNote","position":[448,-112],"parameters":{"color":7,"width":352,"height":416,"content":"## Order Eligibility Check\nThis section verifies whether the order status is eligible for fraud analysis. Only orders in “pending” or “processing” states are considered, ensuring unnecessary checks are avoided for completed, cancelled or irrelevant orders."},"typeVersion":1},{"id":"02aac987-d46f-409b-9b0e-a8a7886a893e","name":"Sticky Note2","type":"n8n-nodes-base.stickyNote","position":[960,-544],"parameters":{"color":7,"width":848,"height":320,"content":"## Address Mismatch Detection\nThis section checks whether the billing and shipping details differ. A mismatch in postcode or country may indicate suspicious activity, so the workflow flags such orders for increased fraud risk evaluation."},"typeVersion":1},{"id":"301e0345-e6b2-410f-accf-e72189d37643","name":"Sticky Note3","type":"n8n-nodes-base.stickyNote","position":[960,-160],"parameters":{"color":7,"width":864,"height":272,"content":"## High-Value Order Detection\nThis section identifies orders with a total amount greater than the defined threshold (e.g., 500). High-value transactions are more likely to be targeted for fraud, so these orders are flagged to increase their overall fraud score."},"typeVersion":1},{"id":"93658cdc-286a-401a-b6ed-7f96f060415b","name":"Sticky Note4","type":"n8n-nodes-base.stickyNote","position":[976,208],"parameters":{"color":7,"width":864,"height":320,"content":"## Suspicious Email Detection\nThis section prepares and analyzes the customer’s email address to detect disposable or temporary email services. If the email matches known patterns like Mailinator or TempMail, it is flagged as suspicious and contributes to fraud scoring."},"typeVersion":1},{"id":"990e155d-354e-42cd-854f-38c0852f61e6","name":"Sticky Note5","type":"n8n-nodes-base.stickyNote","position":[976,592],"parameters":{"color":7,"width":880,"height":320,"content":"## Admin Order Validation\nThis section checks whether the order was created manually by an admin. Since admin-created orders are generally trusted, the workflow marks them and reduces the fraud score to prevent false positives."},"typeVersion":1},{"id":"2acb26f7-a0c3-4d48-8db3-5dc3420c3f60","name":"Sticky Note6","type":"n8n-nodes-base.stickyNote","position":[2096,-160],"parameters":{"color":7,"width":1696,"height":416,"content":"## Fraud Scoring & Alerting\nThis section combines all fraud indicators, calculates a final fraud score and evaluates it against a threshold. If the score meets the risk level, a detailed alert is sent to Slack for immediate review and action."},"typeVersion":1},{"id":"0a0cfd0c-2ee3-410b-a814-cebc2940ddc0","name":"Sticky Note7","type":"n8n-nodes-base.stickyNote","position":[-1520,-848],"parameters":{"width":800,"height":1008,"content":"## How the Workflow Works\n- The workflow starts automatically on a scheduled trigger, ensuring regular monitoring of incoming orders without manual intervention.\n- It fetches order details from WooCommerce and prepares the data by extracting relevant fields like amount, email, address and status.\n- Only eligible orders (pending or processing) are passed to the fraud detection pipeline to avoid unnecessary checks.\n- Multiple fraud checks are applied, such as address mismatch, high order value, suspicious email patterns and admin-created orders.\n- Each fraud condition contributes to a score, increasing or decreasing the risk level based on predefined logic.\n- All fraud signals are merged into a single dataset to calculate the final fraud score.\n- If the score crosses the defined threshold, the workflow flags the order as potentially fraudulent.\n- A detailed alert is then sent to Slack, including customer details, order value and fraud indicators for quick review.\n\n\n\n\n\n## Workflow Setup Steps\n- Create a new workflow in n8n and add a Schedule Trigger node to define how frequently the workflow should run.\n- Configure the WooCommerce node by adding API credentials and selecting the “Get Order” operation to fetch order data.\n- Use Set nodes to normalize order data and initialize fraud flags for consistent processing.\n- Add IF nodes to define fraud conditions such as order status check, address mismatch, high-value threshold and email validation.\n- Implement a Code node to calculate the fraud score based on all collected signals.\n- Add a Merge node to combine outputs from different fraud checks into a single flow.\n- Configure the Slack node by connecting your Slack account and selecting the target channel for alerts.\n- Test the workflow with sample orders to verify fraud scoring and ensure alerts are triggered correctly.\n- Activate the workflow so it runs automatically based on the defined schedule."},"typeVersion":1}],"active":false,"pinData":{},"settings":{"executionOrder":"v1"},"versionId":"baeea89e-a57e-4a7b-8264-b68efb43cdad","connections":{"Prepare Email":{"main":[[{"node":"Detect Disposable Email","type":"main","index":0}]]},"Mark Admin Order":{"main":[[{"node":"Merge Fraud Signals","type":"main","index":3}]]},"Cron: Fetch Orders":{"main":[[{"node":"Fetch Order (WooCommerce)","type":"main","index":0}]]},"Merge Fraud Signals":{"main":[[{"node":"Calculate Fraud Score","type":"main","index":0}]]},"Normalize Order Data":{"main":[[{"node":"Initialize Fraud Flags","type":"main","index":0}]]},"Calculate Fraud Score":{"main":[[{"node":"Fraud Threshold Check","type":"main","index":0}]]},"Fraud Threshold Check":{"main":[[{"node":"Send Slack Fraud Alert","type":"main","index":0}]]},"Check Address Mismatch":{"main":[[{"node":"Flag: Address Mismatch","type":"main","index":0}],[]]},"Flag: Address Mismatch":{"main":[[{"node":"Merge Fraud Signals","type":"main","index":0}]]},"Flag: High Value Order":{"main":[[{"node":"Merge Fraud Signals","type":"main","index":1}]]},"Flag: Suspicious Email":{"main":[[{"node":"Merge Fraud Signals","type":"main","index":2}]]},"Initialize Fraud Flags":{"main":[[{"node":"Check Eligible Status (Pending/Processing)","type":"main","index":0}]]},"Check High Value (>500)":{"main":[[{"node":"Flag: High Value Order","type":"main","index":0}]]},"Detect Disposable Email":{"main":[[{"node":"Flag: Suspicious Email","type":"main","index":0}],[]]},"Check Admin Created Order":{"main":[[{"node":"Mark Admin Order","type":"main","index":0}]]},"Fetch Order (WooCommerce)":{"main":[[{"node":"Normalize Order Data","type":"main","index":0}]]},"Check Eligible Status (Pending/Processing)":{"main":[[{"node":"Check Address Mismatch","type":"main","index":0},{"node":"Check High Value (>500)","type":"main","index":0},{"node":"Prepare Email","type":"main","index":0},{"node":"Check Admin Created Order","type":"main","index":0}]]}}},"lastUpdatedBy":1,"workflowInfo":{"nodeCount":26,"nodeTypes":{"n8n-nodes-base.if":{"count":6},"n8n-nodes-base.set":{"count":7},"n8n-nodes-base.code":{"count":1},"n8n-nodes-base.merge":{"count":1},"n8n-nodes-base.slack":{"count":1},"n8n-nodes-base.stickyNote":{"count":8},"n8n-nodes-base.wooCommerce":{"count":1},"n8n-nodes-base.scheduleTrigger":{"count":1}}},"status":"published","readyToDemo":null,"user":{"name":"WeblineIndia","username":"weblineindia","bio":"A Leading Software Engineering, Consulting & Outsourcing Services Company in USA & India serving Clients Globally since 1999.","verified":true,"links":["https://www.weblineindia.com/hire-n8n-developers/"],"avatar":"https://gravatar.com/avatar/a229d43aefca4588581583c58bb37b4773aebbdf4c1fef86a08bb1d38eae91fa?r=pg&d=retro&size=200"},"nodes":[{"id":20,"icon":"fa:map-signs","name":"n8n-nodes-base.if","codex":{"data":{"alias":["Router","Filter","Condition","Logic","Boolean","Branch"],"details":"The IF node can be used to implement binary conditional logic in your workflow. 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