{ "id": "ZLYpvDUbFyNpTcyg", "name": "Monitor competitor prices and alert via Slack and email", "tags": [ { "id": "mHQntpbppFUpZPGm", "name": "template", "createdAt": "2026-02-17T08:30:26.885Z", "updatedAt": "2026-02-17T08:30:26.885Z" } ], "nodes": [ { "id": "df38f72a-ee3a-4877-894a-4a8fdbf32362", "name": "Daily Schedule Trigger", "type": "n8n-nodes-base.scheduleTrigger", "position": [ 928, 608 ], "parameters": { "rule": { "interval": [ { "field": "hours", "hoursInterval": 24 } ] } }, "typeVersion": 1.2 }, { "id": "7a378618-0238-44b8-84f9-4e6f2a94cc78", "name": "Get Products from Sheet", "type": "n8n-nodes-base.googleSheets", "position": [ 1152, 608 ], "parameters": { "options": {}, "sheetName": { "__rl": true, "mode": "list", "value": "YOUR_PRODUCTS_SHEET_GID", "cachedResultUrl": "YOUR_PRODUCTS_SHEET_URL", "cachedResultName": "products" }, "documentId": { "__rl": true, "mode": "list", "value": "YOUR_GOOGLE_SHEET_ID", "cachedResultUrl": "YOUR_GOOGLE_SHEET_URL", "cachedResultName": "Your Products Sheet" } }, "typeVersion": 4.5 }, { "id": "10216fd3-331c-47da-bab8-104b27fca398", "name": "Clear Memory and Normalize Columns", "type": "n8n-nodes-base.code", "position": [ 1376, 608 ], "parameters": { "jsCode": "// Clear previous run data AND normalize column names\n// This handles any column name format from your sheet\nconst staticData = $getWorkflowStaticData('global');\nstaticData.allResults = [];\n\nconst items = $input.all();\nconst normalized = [];\n\nfor (const item of items) {\n const raw = item.json;\n const keys = Object.keys(raw);\n \n // Find product name column (flexible matching)\n const nameKey = keys.find(k => \n k.toLowerCase().replace(/[^a-z]/g, '') === 'productname' ||\n k.toLowerCase() === 'product_name' ||\n k.toLowerCase() === 'product name' ||\n k.toLowerCase() === 'name' ||\n k.toLowerCase() === 'title' ||\n k.toLowerCase() === 'item' ||\n k.toLowerCase() === 'product'\n );\n \n // Find SKU column\n const skuKey = keys.find(k => \n k.toLowerCase() === 'sku' ||\n k.toLowerCase() === 'id' ||\n k.toLowerCase() === 'product_id'\n );\n \n // Find price column\n const priceKey = keys.find(k => \n k.toLowerCase().replace(/[^a-z]/g, '') === 'myprice' ||\n k.toLowerCase() === 'my_price' ||\n k.toLowerCase() === 'price' ||\n k.toLowerCase() === 'selling_price' ||\n k.toLowerCase() === 'our price' ||\n k.toLowerCase() === 'my price'\n );\n \n // Find cost column\n const costKey = keys.find(k => \n k.toLowerCase().replace(/[^a-z]/g, '') === 'mycost' ||\n k.toLowerCase() === 'my_cost' ||\n k.toLowerCase() === 'cost' ||\n k.toLowerCase() === 'our cost' ||\n k.toLowerCase() === 'my cost'\n );\n \n const productName = nameKey ? raw[nameKey] : null;\n const price = priceKey ? raw[priceKey] : null;\n \n if (!productName || !price) continue; // Skip empty rows\n \n normalized.push({\n json: {\n product_name: String(productName).trim(),\n sku: skuKey ? String(raw[skuKey]).trim() : '',\n my_price: String(price).replace(/[^0-9.]/g, ''),\n my_cost: costKey ? String(raw[costKey]).replace(/[^0-9.]/g, '') : '0'\n }\n });\n}\n\nif (normalized.length === 0) {\n return [{ json: { error: 'No products found. Check your sheet column names. Found columns: ' + Object.keys(items[0]?.json || {}).join(', ') } }];\n}\n\nreturn normalized;" }, "typeVersion": 2 }, { "id": "caa91554-2313-4564-b41a-4cf47b33eb00", "name": "Loop Through Each Product", "type": "n8n-nodes-base.splitInBatches", "position": [ 1600, 608 ], "parameters": { "options": {} }, "typeVersion": 3 }, { "id": "678bc0f1-7512-427c-a604-1e18f55a6aa7", "name": "Prepare Search Query", "type": "n8n-nodes-base.code", "position": [ 1824, 320 ], "parameters": { "jsCode": "// Pass through product data for search\nconst item = $input.first().json;\nreturn $input.all();" }, "typeVersion": 2 }, { "id": "9c474c8e-9eef-4f12-bd32-3b75a27d58f4", "name": "Search Google Shopping Prices", "type": "n8n-nodes-base.httpRequest", "position": [ 2048, 320 ], "parameters": { "url": "https://www.searchapi.io/api/v1/search", "options": { "timeout": 30000, "response": { "response": { "responseFormat": "json" } } }, "sendQuery": true, "queryParameters": { "parameters": [ { "name": "api_key", "value": "={{ $env.SEARCHAPI_KEY }}" }, { "name": "engine", "value": "google_shopping" }, { "name": "q", "value": "={{ $json.product_name }}" }, { "name": "gl", "value": "us" } ] } }, "typeVersion": 4.2 }, { "id": "4699bd51-4c99-430a-9b3e-416014a48cf0", "name": "Analyze Pricing Gap", "type": "n8n-nodes-base.code", "position": [ 2272, 320 ], "parameters": { "jsCode": "const product = $('Loop Through Each Product').first().json;\nconst response = $input.first().json;\n\nconst results = response.shopping_results || response.inline_shopping_results || [];\nconst prices = [];\n\nfor (const item of results) {\n let price = item.price || item.extracted_price || 0;\n if (typeof price === 'string') {\n price = parseFloat(price.replace(/[^0-9.]/g, ''));\n }\n if (price > 0) {\n prices.push({\n seller: item.source || item.merchant || 'Unknown',\n price: price,\n title: item.title || ''\n });\n }\n}\n\nif (prices.length === 0) {\n return [{\n json: {\n product_name: product.product_name,\n sku: product.sku || '',\n my_price: parseFloat(product.my_price),\n my_cost: parseFloat(product.my_cost || 0),\n margin_now: null,\n competitor_lowest: null,\n competitor_average: null,\n competitor_highest: null,\n competitor_count: 0,\n gap_pct: null,\n signal: 'NO_DATA',\n severity: 'info',\n suggested_price: null,\n margin_suggested: null,\n action: 'No competitor prices found',\n date: new Date().toISOString().split('T')[0]\n }\n }];\n}\n\nconst priceValues = prices.map(p => p.price).sort((a, b) => a - b);\nconst lowest = Math.min(...priceValues);\nconst highest = Math.max(...priceValues);\nconst average = parseFloat((priceValues.reduce((a, b) => a + b, 0) / priceValues.length).toFixed(2));\n\nconst myPrice = parseFloat(product.my_price);\nconst myCost = parseFloat(product.my_cost || 0);\nconst gapPct = parseFloat(((myPrice - average) / average * 100).toFixed(1));\n\nlet signal, severity, action, suggestedPrice;\n\nif (myPrice < average * 0.85) {\n signal = 'UNDERPRICED';\n severity = 'critical';\n suggestedPrice = parseFloat((average * 0.95).toFixed(2));\n if (myCost > 0 && suggestedPrice < myCost * 1.15) suggestedPrice = parseFloat((myCost * 1.15).toFixed(2));\n action = 'RAISE to $' + suggestedPrice + ' \u2014 you are ' + Math.abs(gapPct) + '% below market';\n} else if (myPrice < average * 0.95) {\n signal = 'SLIGHTLY_UNDER';\n severity = 'warning';\n suggestedPrice = parseFloat((average * 0.97).toFixed(2));\n action = 'Consider raising to $' + suggestedPrice;\n} else if (myPrice > average * 1.15) {\n signal = 'OVERPRICED';\n severity = 'critical';\n suggestedPrice = parseFloat((average * 1.05).toFixed(2));\n if (myCost > 0 && suggestedPrice < myCost * 1.15) suggestedPrice = parseFloat((myCost * 1.15).toFixed(2));\n action = 'LOWER to $' + suggestedPrice + ' \u2014 you are ' + gapPct + '% above market';\n} else if (myPrice > average * 1.05) {\n signal = 'SLIGHTLY_OVER';\n severity = 'warning';\n suggestedPrice = parseFloat((average * 1.03).toFixed(2));\n action = 'Consider lowering to $' + suggestedPrice;\n} else {\n signal = 'COMPETITIVE';\n severity = 'ok';\n suggestedPrice = myPrice;\n action = 'Price is competitive \u2014 no change needed';\n}\n\nconst marginNow = myCost > 0 ? parseFloat(((myPrice - myCost) / myPrice * 100).toFixed(1)) : null;\nconst marginSuggested = myCost > 0 ? parseFloat(((suggestedPrice - myCost) / suggestedPrice * 100).toFixed(1)) : null;\n\nreturn [{\n json: {\n product_name: product.product_name,\n sku: product.sku || '',\n my_price: myPrice,\n my_cost: myCost,\n margin_now: marginNow,\n competitor_lowest: lowest,\n competitor_average: average,\n competitor_highest: highest,\n competitor_count: prices.length,\n gap_pct: gapPct,\n signal: signal,\n severity: severity,\n suggested_price: suggestedPrice,\n margin_suggested: marginSuggested,\n action: action,\n date: new Date().toISOString().split('T')[0]\n }\n}];" }, "typeVersion": 2 }, { "id": "c8b1a0b1-1df0-4119-9be1-4e9cb6216db2", "name": "Save Result to Memory", "type": "n8n-nodes-base.code", "position": [ 2496, 320 ], "parameters": { "jsCode": "// Save analyzed result to memory for daily summary\nconst staticData = $getWorkflowStaticData('global');\nif (!staticData.allResults) staticData.allResults = [];\nstaticData.allResults.push($input.first().json);\nreturn $input.all();" }, "typeVersion": 2 }, { "id": "06766599-5dff-4982-9075-f7f156874786", "name": "Log to Price History Sheet", "type": "n8n-nodes-base.googleSheets", "position": [ 2720, 512 ], "parameters": { "columns": { "value": { "sku": "={{ $json.sku }}", "date": "={{ $json.date }}", "action": "={{ $json.action }}", "signal": "={{ $json.signal }}", "gap_pct": "={{ $json.gap_pct }}", "my_cost": "={{ $json.my_cost }}", "my_price": "={{ $json.my_price }}", "margin_now": "={{ $json.margin_now }}", "product_name": "={{ $json.product_name }}", "suggested_price": "={{ $json.suggested_price }}", "competitor_count": "={{ $json.competitor_count }}", "competitor_lowest": "={{ $json.competitor_lowest }}", "competitor_average": "={{ $json.competitor_average }}", "competitor_highest": "={{ $json.competitor_highest }}" }, "schema": [ { "id": "date", "type": "string", "required": false, "displayName": "date", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "product_name", "type": "string", "required": false, "displayName": "product_name", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "sku", "type": "string", "required": false, "displayName": "sku", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "my_price", "type": "string", "required": false, "displayName": "my_price", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "my_cost", "type": "string", "required": false, "displayName": "my_cost", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "margin_now", "type": "string", "required": false, "displayName": "margin_now", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "competitor_lowest", "type": "string", "required": false, "displayName": "competitor_lowest", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "competitor_average", "type": "string", "required": false, "displayName": "competitor_average", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "competitor_highest", "type": "string", "required": false, "displayName": "competitor_highest", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "competitor_count", "type": "string", "required": false, "displayName": "competitor_count", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "gap_pct", "type": "string", "required": false, "displayName": "gap_pct", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "signal", "type": "string", "required": false, "displayName": "signal", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "suggested_price", "type": "string", "required": false, "displayName": "suggested_price", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "action", "type": "string", "required": false, "displayName": "action", "defaultMatch": false, "canBeUsedToMatch": true } ], "mappingMode": "defineBelow", "matchingColumns": [], "attemptToConvertTypes": false, "convertFieldsToString": true }, "options": {}, "operation": "append", "sheetName": { "__rl": true, "mode": "name", "value": "price_log" }, "documentId": { "__rl": true, "mode": "list", "value": "YOUR_GOOGLE_SHEET_ID", "cachedResultUrl": "YOUR_GOOGLE_SHEET_URL", "cachedResultName": "Your Products Sheet" } }, "typeVersion": 4.5 }, { "id": "88e0edd7-d292-44b0-b12a-1da798f8586f", "name": "Filter Critical or Warning Alerts", "type": "n8n-nodes-base.filter", "position": [ 2720, 128 ], "parameters": { "options": {}, "conditions": { "options": { "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "or", "conditions": [ { "id": "critical-check", "operator": { "type": "string", "operation": "equals" }, "leftValue": "={{ $json.severity }}", "rightValue": "critical" }, { "id": "warning-check", "operator": { "type": "string", "operation": "equals" }, "leftValue": "={{ $json.severity }}", "rightValue": "warning" } ] } }, "typeVersion": 2 }, { "id": "04641da4-3cd7-4f39-94a2-7840021a34a2", "name": "Send Slack Pricing Alert", "type": "n8n-nodes-base.slack", "position": [ 2944, 128 ], "parameters": { "text": "={{ $json.severity === 'critical' ? '\ud83d\udea8' : '\u26a0\ufe0f' }} *{{ $json.signal }}* \u2014 {{ $json.product_name }}\n\n\ud83d\udcb2 Your Price: *${{ $json.my_price }}*\n\ud83d\udcca Market Avg: *${{ $json.competitor_average }}* ({{ $json.competitor_count }} competitors)\n\ud83d\udcc9 Lowest: ${{ $json.competitor_lowest }} | Highest: ${{ $json.competitor_highest }}\n\ud83d\udcd0 Gap: *{{ $json.gap_pct }}%*\n\n\u2705 *Action:* {{ $json.action }}\n{{ $json.margin_now ? '\ud83d\udcb0 Current Margin: ' + $json.margin_now + '% \u2192 Suggested Margin: ' + $json.margin_suggested + '%' : '' }}", "otherOptions": {} }, "typeVersion": 2.2 }, { "id": "62106fa8-8ea8-4364-89bf-2ffc95f00255", "name": "Continue to Next Product", "type": "n8n-nodes-base.code", "position": [ 2944, 784 ], "parameters": { "jsCode": "// Pass through to loop back to next product\nreturn $input.all();" }, "typeVersion": 2 }, { "id": "27ac6923-5c0e-4c9a-820e-2595d1f182a7", "name": "Build Daily Summary Report", "type": "n8n-nodes-base.code", "position": [ 1824, 608 ], "parameters": { "jsCode": "// Build daily summary from ALL collected results in memory\nconst staticData = $getWorkflowStaticData('global');\nconst allResults = staticData.allResults || [];\n\n// Clear for next run\nstaticData.allResults = [];\n\nif (allResults.length === 0) {\n return [{\n json: {\n summary: 'DAILY PRICING REPORT \u2014 ' + new Date().toISOString().split('T')[0] + '\\n\\nNo products were analyzed today.',\n summary_html: '

Daily Pricing Report

No products analyzed today.

',\n has_alerts: false,\n date: new Date().toISOString().split('T')[0],\n total_products: 0,\n critical_count: 0,\n warning_count: 0\n }\n }];\n}\n\nconst critical = allResults.filter(r => r.severity === 'critical');\nconst warnings = allResults.filter(r => r.severity === 'warning');\nconst ok = allResults.filter(r => r.severity === 'ok');\nconst noData = allResults.filter(r => r.signal === 'NO_DATA');\nconst underpriced = allResults.filter(r => r.signal === 'UNDERPRICED' || r.signal === 'SLIGHTLY_UNDER');\nconst overpriced = allResults.filter(r => r.signal === 'OVERPRICED' || r.signal === 'SLIGHTLY_OVER');\n\nconst today = new Date().toISOString().split('T')[0];\n\nlet summary = 'DAILY PRICING REPORT \u2014 ' + today + '\\n';\nsummary += 'Products checked: ' + allResults.length + '\\n\\n';\nsummary += 'Critical: ' + critical.length + '\\n';\nsummary += 'Warnings: ' + warnings.length + '\\n';\nsummary += 'Competitive: ' + ok.length + '\\n';\nsummary += 'No data: ' + noData.length + '\\n\\n';\n\nif (underpriced.length > 0) {\n summary += 'Underpriced (raise for margin):\\n';\n for (const p of underpriced) {\n summary += '\u2022 ' + p.product_name + ': $' + p.my_price + ' \u2192 $' + p.suggested_price + ' (' + Math.abs(p.gap_pct) + '% below avg)\\n';\n }\n summary += '\\n';\n}\n\nif (overpriced.length > 0) {\n summary += 'Overpriced (lower to compete):\\n';\n for (const p of overpriced) {\n summary += '\u2022 ' + p.product_name + ': $' + p.my_price + ' \u2192 $' + p.suggested_price + ' (' + p.gap_pct + '% above avg)\\n';\n }\n}\n\nlet html = '

Daily Pricing Report \u2014 ' + today + '

';\nhtml += '

Products checked: ' + allResults.length + '

';\nhtml += '';\nhtml += '';\nhtml += '';\nhtml += '';\nhtml += '';\nhtml += '';\nhtml += '
StatusCount
Critical' + critical.length + '
Warnings' + warnings.length + '
Competitive' + ok.length + '
No Data' + noData.length + '
';\n\nif (underpriced.length > 0) {\n html += '

Underpriced

';\n html += '';\n for (const p of underpriced) {\n html += '';\n }\n html += '
ProductYour PriceSuggestedGap
' + p.product_name + '$' + p.my_price + '$' + p.suggested_price + '' + Math.abs(p.gap_pct) + '% below
';\n}\n\nif (overpriced.length > 0) {\n html += '

Overpriced

';\n html += '';\n for (const p of overpriced) {\n html += '';\n }\n html += '
ProductYour PriceSuggestedGap
' + p.product_name + '$' + p.my_price + '$' + p.suggested_price + '' + p.gap_pct + '% above
';\n}\n\nreturn [{\n json: {\n summary: summary,\n summary_html: html,\n has_alerts: critical.length + warnings.length > 0,\n date: today,\n total_products: allResults.length,\n critical_count: critical.length,\n warning_count: warnings.length\n }\n}];" }, "typeVersion": 2 }, { "id": "357a57b2-56bd-40ca-aa6d-fbd4bbaa2921", "name": "Post Daily Summary to Slack", "type": "n8n-nodes-base.slack", "position": [ 2048, 512 ], "parameters": { "text": "={{ $json.summary }}", "otherOptions": {} }, "typeVersion": 2.2 }, { "id": "52a3aa2a-ef6e-4e64-98ef-6b4e126a073f", "name": "Email Daily Report", "type": "n8n-nodes-base.gmail", "position": [ 2048, 704 ], "parameters": { "sendTo": "user@example.com", "message": "={{ $json.summary_html }}", "options": {}, "subject": "=Pricing Report \u2014 {{ $json.date }} | {{ $json.critical_count }} critical, {{ $json.warning_count }} warnings" }, "typeVersion": 2.2 }, { "id": "6d52984d-1aa6-490a-b6d9-e22f5290da96", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ 112, -368 ], "parameters": { "color": "#8E8F42", "width": 660, "height": 880, "content": "## Monitor competitor prices and alert via Slack and email\n\nThis workflow automatically monitors your product prices against competitors on Google Shopping, identifies pricing gaps, and sends alerts when action is needed.\n\n## How it works\n1. **Runs daily** on a schedule (default: every 24 hours)\n2. **Reads your product catalog** from a Google Sheet (flexible column name matching)\n3. **Searches Google Shopping** for each product via SearchAPI\n4. **Analyzes pricing gaps** \u2014 classifies each product as UNDERPRICED, OVERPRICED, COMPETITIVE, or NO_DATA\n5. **Calculates suggested prices** based on market averages while protecting your margins\n6. **Sends instant Slack alerts** for critical/warning pricing issues\n7. **Logs all results** to a `price_log` sheet for historical tracking\n8. **Sends a daily summary** via Slack and email with full breakdown\n\n## Setup steps\n1. **Create a Google Sheet** with a `products` tab containing columns: `product_name`, `my_price`, and optionally `sku` and `my_cost`\n2. Add a second tab called `price_log` with these column headers: `date`, `product_name`, `sku`, `my_price`, `my_cost`, `margin_now`, `competitor_lowest`, `competitor_average`, `competitor_highest`, `competitor_count`, `gap_pct`, `signal`, `suggested_price`, `action`\n3. **Get a SearchAPI key** from [searchapi.io](https://www.searchapi.io) and set it as an n8n environment variable called `SEARCHAPI_KEY`\n4. **Connect Google Sheets OAuth2** credentials\n5. **Connect Slack OAuth2** credentials and configure the channel\n6. **Connect Gmail OAuth2** credentials and update `YOUR_EMAIL@EXAMPLE.COM`\n7. Update the Google Sheet ID in the \"Get Products from Sheet\" and \"Log to Price History Sheet\" nodes\n\n## Customization\n- Adjust pricing thresholds in the \"Analyze Pricing Gap\" node (default: \u00b15% warning, \u00b115% critical)\n- Change the schedule frequency in the trigger node\n- Add more notification channels (Telegram, Discord, etc.)\n- Modify the minimum margin protection (default: 15% above cost)" }, "typeVersion": 1 }, { "id": "a82235af-fdef-4f3f-b8a8-4919a7fbe3f1", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ 1072, 368 ], "parameters": { "color": "#4D4242", "width": 264, "height": 164, "content": "## 1. Load Products\nSchedule trigger fires daily. Products are read from Google Sheets. Column names are auto-detected (supports many naming conventions)." }, "typeVersion": 1 }, { "id": "86733f0c-7e5d-4f49-a7a8-bbd3befd1e73", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ 1680, 96 ], "parameters": { "color": "#4D4242", "width": 312, "height": 164, "content": "## 2. Search and Analyze\nEach product is searched on Google Shopping via SearchAPI. Prices are compared to calculate gap %, signal severity, and a suggested price." }, "typeVersion": 1 }, { "id": "f5818320-0511-4e94-bdd3-88d279767591", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [ 2704, -96 ], "parameters": { "color": "#4D4242", "width": 224, "height": 164, "content": "## 3. Log and Alert\nResults are saved to memory and logged to the `price_log` sheet. Critical and warning signals trigger instant Slack alerts." }, "typeVersion": 1 }, { "id": "5d87a00f-455e-4e30-954c-893985d18bcd", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [ 2272, 528 ], "parameters": { "color": "#4D4242", "width": 252, "height": 196, "content": "## 4. Daily Summary\nAfter all products are processed, a summary report is compiled from memory and sent via Slack message and HTML email." }, "typeVersion": 1 }, { "id": "8792930c-81a3-4c25-9a75-b1c33ed96e9f", "name": "Sticky Note5", "type": "n8n-nodes-base.stickyNote", "position": [ 2016, -80 ], "parameters": { "color": 3, "width": 440, "height": 100, "content": "\u26a0\ufe0f **Set your SearchAPI key** as an n8n environment variable: `SEARCHAPI_KEY`. Do NOT hardcode it here. See [n8n docs on environment variables](https://docs.n8n.io/hosting/configuration/environment-variables/)." }, "typeVersion": 1 }, { "id": "f9acefa6-b811-499d-ac08-de02d7d229d3", "name": "Sticky Note6", "type": "n8n-nodes-base.stickyNote", "position": [ 2192, 816 ], "parameters": { "color": 3, "width": 320, "height": 80, "content": "\u26a0\ufe0f **Update the email address** in this node to your own email before activating." }, "typeVersion": 1 } ], "active": false, "settings": { "binaryMode": "separate", "availableInMCP": false, "executionOrder": "v1" }, "versionId": "9b837a78-b593-4e2b-8ae4-23e7f0279b80", "connections": { "Analyze Pricing Gap": { "main": [ [ { "node": "Save Result to Memory", "type": "main", "index": 0 } ] ] }, "Prepare Search Query": { "main": [ [ { "node": "Search Google Shopping Prices", "type": "main", "index": 0 } ] ] }, "Save Result to Memory": { "main": [ [ { "node": "Log to Price History Sheet", "type": "main", "index": 0 }, { "node": "Filter Critical or Warning Alerts", "type": "main", "index": 0 } ] ] }, "Daily Schedule Trigger": { "main": [ [ { "node": "Get Products from Sheet", "type": "main", "index": 0 } ] ] }, "Get Products from Sheet": { "main": [ [ { "node": "Clear Memory and Normalize Columns", "type": "main", "index": 0 } ] ] }, "Continue to Next Product": { "main": [ [ { "node": "Loop Through Each Product", "type": "main", "index": 0 } ] ] }, "Loop Through Each Product": { "main": [ [ { "node": "Prepare Search Query", "type": "main", "index": 0 } ], [ { "node": "Build Daily Summary Report", "type": "main", "index": 0 } ] ] }, "Build Daily Summary Report": { "main": [ [ { "node": "Post Daily Summary to Slack", "type": "main", "index": 0 }, { "node": "Email Daily Report", "type": "main", "index": 0 } ] ] }, "Log to Price History Sheet": { "main": [ [ { "node": "Continue to Next Product", "type": "main", "index": 0 } ] ] }, "Search Google Shopping Prices": { "main": [ [ { "node": "Analyze Pricing Gap", "type": "main", "index": 0 } ] ] }, "Filter Critical or Warning Alerts": { "main": [ [ { "node": "Send Slack Pricing Alert", "type": "main", "index": 0 } ] ] }, "Clear Memory and Normalize Columns": { "main": [ [ { "node": "Loop Through Each Product", "type": "main", "index": 0 } ] ] } } }