Workflow: Find Top Keywords
Integrations: code, filter, httpRequest, if, manualTrigger, nocoDb, scheduleTrigger, splitInBatches, splitOut, stickyNote

{"id": "SHgOqN3ednIo5gNu", "meta": {"instanceId": "workflow-7909618c", "versionId": "1.0.0", "createdAt": "2025-09-29T07:07:54.228094", "updatedAt": "2025-09-29T07:07:54.228105", "owner": "n8n-user", "license": "MIT", "category": "automation", "status": "active", "priority": "high", "environment": "production"}, "name": "Find Top Keywords", "tags": ["automation", "n8n", "production-ready", "excellent", "optimized"], "nodes": [{"id": "386c7972-34c2-4f51-9329-dee7f6a7511b", "name": "When clicking \u2018Test workflow\u2019", "type": "n8n-nodes-base.manualTrigger", "position": [-3440, 760], "parameters": {}, "typeVersion": 1, "notes": "This manualTrigger node performs automated tasks as part of the workflow."}, {"id": "3ebf40fd-acfd-4424-99c9-95ddaac74de3", "name": "Schedule Trigger", "type": "n8n-nodes-base.scheduleTrigger", "position": [-3440, 1040], "parameters": {"rule": {"interval": [{"field": "cronExpression", "expression": "0 */4 * * *"}]}}, "typeVersion": 1.2, "notes": "This scheduleTrigger node performs automated tasks as part of the workflow."}, {"id": "a24af92b-849d-48ee-aedd-6c7e75d9c902", "name": "Gen Time", "type": "n8n-nodes-base.code", "position": [-3160, 940], "parameters": {"jsCode": "// Get today's date\nconst today = new Date();\n\n// Subtract one day to get the previous day\nconst yesterday = new Date(today);\nyesterday.setDate(today.getDate() - 1);\n\n// Format the date as yyyy-mm-dd\nconst year = yesterday.getFullYear();\nconst month = String(yesterday.getMonth() + 1).padStart(2, '0'); // Month is zero-indexed\nconst day = String(yesterday.getDate()).padStart(2, '0');\n\nconst formattedDate = `${year}-${month}-${day}`;\n\n// Set the formatted date to be used in a later node\nreturn [{ json: { previousDay: formattedDate } }];"}, "typeVersion": 2, "notes": "This code node performs automated tasks as part of the workflow."}, {"id": "f0807e09-1f8f-45ba-a6d3-d14ee3f96a9f", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [-3540, 600], "parameters": {"width": 520, "height": 780, "content": "## Create time for yesterday and today. This will be used to gather and search for news articles within a specific range."}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}, {"id": "c97b391b-1da1-4c62-9394-e83a49dae788", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [-3020, 600], "parameters": {"color": 4, "width": 280, "height": 780, "content": "## Grab a list of base keywords from NocoDB"}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}, {"id": "21e89f1c-7101-490a-89aa-a5a52e10d88a", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [-2740, 600], "parameters": {"width": 380, "height": 780, "content": "## Generate YouTube and Google Keywords from base keywords"}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}, {"id": "3b6e8b0e-dfdc-41d0-a387-00872c92faa1", "name": "NocoDB", "type": "n8n-nodes-base.nocoDb", "position": [-2940, 940], "parameters": {"table": "mztryza8davdl48", "options": {"fields": ["keyword"]}, "operation": "getAll", "projectId": "pbwiwe87uf1cpgc", "returnAll": true, "authentication": "{{ $credentials.nocoDbApiToken }}"}, "credentials": {"nocoDbApiToken": {"id": "LAbGsn1RMARiq5Gy", "name": "NocoDB Token account"}}, "typeVersion": 3, "notes": "This nocoDb node performs automated tasks as part of the workflow."}, {"id": "fef9283e-886a-486b-a51f-0f459f4b18e0", "name": "Second Order Google Autocomplete Keywords", "type": "n8n-nodes-base.httpRequest", "position": [-2620, 800], "parameters": {"url": "{{ $env.WEBHOOK_URL }}", "options": {}, "sendQuery": true, "sendHeaders": true, "authentication": "{{ $credentials.genericCredentialType }}", "genericAuthType": "httpHeaderAuth", "queryParameters": {"parameters": [{"name": "input_keyword", "value": "={{ $('NocoDB').item.json.keyword }}"}, {"name": "input_country", "value": "US"}, {"name": "use_proxy", "value": "true"}, {"name": "output", "value": "toolbar"}, {"name": "spell", "value": "1"}, {"name": "hl", "value": "en"}]}, "headerParameters": {"parameters": [{"name": "accept", "value": "application/json"}]}}, "credentials": {"httpHeaderAuth": {"id": "eNOOug9ODsbtfjBk", "name": "Social Flood API Key Local"}}, "executeOnce": false, "typeVersion": 4.2, "notes": "This httpRequest node performs automated tasks as part of the workflow."}, {"id": "fad88d1e-a14e-4cc1-9ac1-dcc6126355c4", "name": "Google Search Volume", "type": "n8n-nodes-base.httpRequest", "position": [-2020, 800], "parameters": {"url": "{{ $env.API_BASE_URL }}", "method": "POST", "options": {}, "jsonBody": "=[\n    {\n        \"location_code\": 2840,\n        \"language_code\": \"en\",\n        \"keywords\": [{{ $json.keywords }}],\n        \"date_from\": \"2021-08-01\",\n        \"search_partners\": false \n    }\n]", "sendBody": true, "specifyBody": "json", "authentication": "{{ $credentials.genericCredentialType }}", "genericAuthType": "httpBasicAuth"}, "credentials": {"httpBasicAuth": {"id": "7k7huetjBCcDO7uR", "name": "Data for SEO Basic Auth"}}, "executeOnce": false, "typeVersion": 4.2, "notes": "This httpRequest node performs automated tasks as part of the workflow."}, {"id": "dac54baa-6166-4fb6-a705-a45a91b993ed", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [-2360, 600], "parameters": {"color": 4, "width": 500, "height": 780, "content": "## Query YouTube and Google Keyword search volume."}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}, {"id": "753401aa-c78e-4dd1-b47f-b774bed8a6ce", "name": "Split Out Google Search", "type": "n8n-nodes-base.splitOut", "position": [-1740, 800], "parameters": {"options": {}, "fieldToSplitOut": "tasks[0].result"}, "executeOnce": false, "typeVersion": 1, "notes": "This splitOut node performs automated tasks as part of the workflow."}, {"id": "12f53197-a03e-4862-a6cf-d4feffd49b29", "name": "YouTube Search Volume", "type": "n8n-nodes-base.httpRequest", "position": [-2020, 1120], "parameters": {"url": "{{ $env.API_BASE_URL }}", "method": "POST", "options": {}, "jsonBody": "=[\n    {\n        \"location_code\": 2840,\n        \"language_code\": \"en\",\n        \"keywords\": [{{ $json.keywords }}],\n        \"date_from\": \"2021-08-01\",\n        \"search_partners\": true,\n        \"sort_by\": \"search_volume\"\n    }\n]", "sendBody": true, "specifyBody": "json", "authentication": "{{ $credentials.genericCredentialType }}", "genericAuthType": "httpBasicAuth"}, "credentials": {"httpBasicAuth": {"id": "7k7huetjBCcDO7uR", "name": "Data for SEO Basic Auth"}}, "executeOnce": false, "typeVersion": 4.2, "notes": "This httpRequest node performs automated tasks as part of the workflow."}, {"id": "d0173c03-c803-4c64-9c87-48a47952085f", "name": "Second Order YouTube Autocomplete Keywords", "type": "n8n-nodes-base.httpRequest", "position": [-2620, 1120], "parameters": {"url": "{{ $env.WEBHOOK_URL }}", "options": {"redirect": {"redirect": {}}}, "sendQuery": true, "sendHeaders": true, "authentication": "{{ $credentials.genericCredentialType }}", "genericAuthType": "httpHeaderAuth", "queryParameters": {"parameters": [{"name": "input_keyword", "value": "={{ $json.keyword }}"}, {"name": "input_country", "value": "US"}, {"name": "use_proxy", "value": "true"}, {"name": "output", "value": "toolbar"}, {"name": "spell", "value": "1"}, {"name": "hl", "value": "en"}, {"name": "ds", "value": "yt"}]}, "headerParameters": {"parameters": [{"name": "accept", "value": "application/json"}]}}, "credentials": {"httpHeaderAuth": {"id": "eNOOug9ODsbtfjBk", "name": "Social Flood API Key Local"}}, "executeOnce": false, "typeVersion": 4.2, "notes": "This httpRequest node performs automated tasks as part of the workflow."}, {"id": "dfa987d0-c18c-44c4-9796-942404f49630", "name": "Split Out YT Search", "type": "n8n-nodes-base.splitOut", "position": [-1740, 1120], "parameters": {"options": {}, "fieldToSplitOut": "tasks[0].result"}, "executeOnce": false, "typeVersion": 1, "notes": "This splitOut node performs automated tasks as part of the workflow."}, {"id": "29196a5b-c46e-46f7-99ff-781a0d97c551", "name": "Google Filter", "type": "n8n-nodes-base.filter", "position": [-1520, 800], "parameters": {"options": {}, "conditions": {"options": {"version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict"}, "combinator": "and", "conditions": [{"id": "6e46fa28-2adf-47a0-bbf3-7a9b8b8413f7", "operator": {"type": "array", "operation": "exists", "singleValue": true}, "leftValue": "={{ $json.monthly_searches }}", "rightValue": ""}, {"id": "45bca7c3-eac2-44e8-9993-b53200174003", "operator": {"type": "number", "operation": "exists", "singleValue": true}, "leftValue": "={{ $json.cpc }}", "rightValue": ""}]}}, "typeVersion": 2.2, "notes": "This filter node performs automated tasks as part of the workflow."}, {"id": "6b11b8e2-d6fb-45d7-817e-3e1038068696", "name": "YT Filter", "type": "n8n-nodes-base.filter", "position": [-1520, 1120], "parameters": {"options": {}, "conditions": {"options": {"version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict"}, "combinator": "and", "conditions": [{"id": "6e46fa28-2adf-47a0-bbf3-7a9b8b8413f7", "operator": {"type": "array", "operation": "exists", "singleValue": true}, "leftValue": "={{ $json.monthly_searches }}", "rightValue": ""}, {"id": "45bca7c3-eac2-44e8-9993-b53200174003", "operator": {"type": "number", "operation": "exists", "singleValue": true}, "leftValue": "={{ $json.cpc }}", "rightValue": ""}]}}, "typeVersion": 2.2, "notes": "This filter node performs automated tasks as part of the workflow."}, {"id": "6d52836b-ce37-46c0-aa4b-7c2b917b9f1d", "name": "Add Second Tier YT Keyword Data", "type": "n8n-nodes-base.nocoDb", "position": [-440, 980], "parameters": {"table": "m8bp2fnwtqsd2m7", "fieldsUi": {"fieldValues": [{"fieldName": "=keyword", "fieldValue": "={{ $('Split Out YT Search').item.json.keyword }}"}, {"fieldName": "location_code", "fieldValue": "={{ $('Split Out YT Search').item.json.location_code }}"}, {"fieldName": "language_code", "fieldValue": "={{ $('Split Out YT Search').item.json.language_code }}"}, {"fieldName": "search_partners", "fieldValue": "={{ $('Split Out YT Search').item.json.search_partners }}"}, {"fieldName": "competition", "fieldValue": "={{ $('Split Out YT Search').item.json.competition }}"}, {"fieldName": "competition_index", "fieldValue": "={{ $('Split Out YT Search').item.json.competition_index }}"}, {"fieldName": "cpc", "fieldValue": "={{ $('Split Out YT Search').item.json.cpc }}"}, {"fieldName": "low_top_of_page_bid", "fieldValue": "={{ $('Split Out YT Search').item.json.low_top_of_page_bid }}"}, {"fieldName": "high_top_of_page_bid", "fieldValue": "={{ $('Split Out YT Search').item.json.high_top_of_page_bid }}"}, {"fieldName": "search_volume", "fieldValue": "={{ $('Split Out YT Search').item.json.search_volume }}"}]}, "operation": "create", "projectId": "pbwiwe87uf1cpgc", "authentication": "{{ $credentials.nocoDbApiToken }}"}, "credentials": {"nocoDbApiToken": {"id": "LAbGsn1RMARiq5Gy", "name": "NocoDB Token account"}}, "executeOnce": false, "retryOnFail": true, "typeVersion": 3, "notes": "This nocoDb node performs automated tasks as part of the workflow."}, {"id": "d4a72c2b-8c16-4f3e-80ad-1564ec8b33d4", "name": "Add Second Tier G Keyword Data", "type": "n8n-nodes-base.nocoDb", "position": [-440, 400], "parameters": {"table": "mjmbcomto18scyi", "fieldsUi": {"fieldValues": [{"fieldName": "=keyword", "fieldValue": "={{ $('Split Out Google Search').item.json.keyword }}"}, {"fieldName": "location_code", "fieldValue": "={{ $('Split Out Google Search').item.json.location_code }}"}, {"fieldName": "language_code", "fieldValue": "={{ $('Split Out Google Search').item.json.language_code }}"}, {"fieldName": "search_partners", "fieldValue": "={{ $('Split Out Google Search').item.json.search_partners }}"}, {"fieldName": "competition", "fieldValue": "={{ $('Split Out Google Search').item.json.competition }}"}, {"fieldName": "competition_index", "fieldValue": "={{ $('Split Out Google Search').item.json.competition_index }}"}, {"fieldName": "cpc", "fieldValue": "={{ $('Split Out Google Search').item.json.cpc }}"}, {"fieldName": "low_top_of_page_bid", "fieldValue": "={{ $('Split Out Google Search').item.json.low_top_of_page_bid }}"}, {"fieldName": "high_top_of_page_bid", "fieldValue": "={{ $('Split Out Google Search').item.json.high_top_of_page_bid }}"}, {"fieldName": "search_volume", "fieldValue": "={{ $('Split Out Google Search').item.json.search_volume }}"}]}, "operation": "create", "projectId": "pbwiwe87uf1cpgc", "authentication": "{{ $credentials.nocoDbApiToken }}"}, "credentials": {"nocoDbApiToken": {"id": "LAbGsn1RMARiq5Gy", "name": "NocoDB Token account"}}, "executeOnce": false, "retryOnFail": true, "typeVersion": 3, "notes": "This nocoDb node performs automated tasks as part of the workflow."}, {"id": "1fdaf0fc-5c11-406f-93fb-b4a7fd3b6eed", "name": "Format G Data", "type": "n8n-nodes-base.code", "position": [-240, 400], "parameters": {"jsCode": "// Get the monthly search data from the \"Loop Over Google Keywords\" node\nconst loopData = $node[\"Loop Over Google Keywords\"].json;\nif (!loopData || !loopData.monthly_searches || !Array.isArray(loopData.monthly_searches)) {\n  throw new Error(\"monthly_searches data is missing or not an array from Loop Over Google Keywords node.\");\n}\nconst monthlySearches = loopData.monthly_searches;\n\n// Get all items from the \"Add Second Tier G Keyword Data\" node\nconst secondTierItems = $items(\"Add Second Tier G Keyword Data\");\n\nif (!secondTierItems || secondTierItems.length === 0) {\n  throw new Error(\"No data found in Add Second Tier G Keyword Data node.\");\n}\n\nconst results = [];\n\n// Loop through each second-tier item\nsecondTierItems.forEach(itemWrapper => {\n  const item = itemWrapper.json;\n  // Validate that the required properties exist on the second-tier item.\n  if (!item.keyword || item.Id === undefined) {\n    throw new Error(\"A second tier item is missing 'keyword' or 'Id'.\");\n  }\n  \n  // For each monthly search record, combine with the second-tier data\n  monthlySearches.forEach(record => {\n    // Validate that each monthly record has the required properties.\n    if (record.year === undefined || record.month === undefined || record.search_volume === undefined) {\n      throw new Error(\"A monthly search record is missing 'year', 'month', or 'search_volume'.\");\n    }\n    \n    results.push({\n      json: {\n        keyword: item.keyword,\n        google_keyword_id: item.Id,\n        year: record.year,\n        month: record.month,\n        search_volume: record.search_volume,\n        unique_id: `${record.year}-${record.month}-${item.keyword}`\n      }\n    });\n  });\n});\n\n// Chunk the results into batches of 1000 items each\nconst batchSize = 1000;\nconst batchedResults = [];\n\nfor (let i = 0; i < results.length; i += batchSize) {\n  // Create a batch containing up to batchSize items\n  const batchItems = results.slice(i, i + batchSize).map(item => item.json);\n  batchedResults.push({\n    json: {\n      batch: batchItems\n    }\n  });\n}\n\nreturn batchedResults;\n"}, "typeVersion": 2, "alwaysOutputData": false, "notes": "This code node performs automated tasks as part of the workflow."}, {"id": "7d654cf7-1223-4f10-8026-997f5418402e", "name": "Format YT Data", "type": "n8n-nodes-base.code", "position": [-220, 980], "parameters": {"jsCode": "// Get the monthly search data from the \"Loop Over Google Keywords\" node\nconst loopData = $node[\"Loop Over YT Keywords\"].json;\nif (!loopData || !loopData.monthly_searches || !Array.isArray(loopData.monthly_searches)) {\n  throw new Error(\"monthly_searches data is missing or not an array from Loop Over YT Keywords node.\");\n}\nconst monthlySearches = loopData.monthly_searches;\n\n// Get all items from the \"Add Second Tier G Keyword Data\" node\nconst secondTierItems = $items(\"Add Second Tier YT Keyword Data\");\n\nif (!secondTierItems || secondTierItems.length === 0) {\n  throw new Error(\"No data found in Add Second Tier YT Keyword Data node.\");\n}\n\nconst results = [];\n\n// Loop through each second-tier item\nsecondTierItems.forEach(itemWrapper => {\n  const item = itemWrapper.json;\n  // Validate that the required properties exist on the second-tier item.\n  if (!item.keyword || item.Id === undefined) {\n    throw new Error(\"A second tier item is missing 'keyword' or 'Id'.\");\n  }\n  \n  // For each monthly search record, combine with the second-tier data\n  monthlySearches.forEach(record => {\n    // Validate that each monthly record has the required properties.\n    if (record.year === undefined || record.month === undefined || record.search_volume === undefined) {\n      throw new Error(\"A monthly search record is missing 'year', 'month', or 'search_volume'.\");\n    }\n    \n    results.push({\n      json: {\n        keyword: item.keyword,\n        google_keyword_id: item.Id,\n        year: record.year,\n        month: record.month,\n        search_volume: record.search_volume,\n        unique_id: `${record.year}-${record.month}-${item.keyword}`\n      }\n    });\n  });\n});\n\n// Chunk the results into batches of 1000 items each\nconst batchSize = 1000;\nconst batchedResults = [];\n\nfor (let i = 0; i < results.length; i += batchSize) {\n  // Create a batch containing up to batchSize items\n  const batchItems = results.slice(i, i + batchSize).map(item => item.json);\n  batchedResults.push({\n    json: {\n      batch: batchItems\n    }\n  });\n}\n\nreturn batchedResults;\n"}, "typeVersion": 2, "notes": "This code node performs automated tasks as part of the workflow."}, {"id": "67848762-a140-4c63-b8ca-e20331135741", "name": "Bulk Import G Monthly Search Volume", "type": "n8n-nodes-base.httpRequest", "position": [0, 400], "parameters": {"url": "{{ $env.API_BASE_URL }}", "method": "POST", "options": {"batching": {"batch": {"batchSize": 1000}}}, "jsonBody": "={{ $json.batch }}", "sendBody": true, "specifyBody": "json", "authentication": "{{ $credentials.predefinedCredentialType }}", "nodeCredentialType": "YOUR_CREDENTIAL_HERE"}, "credentials": {"httpHeaderAuth": {"id": "eNOOug9ODsbtfjBk", "name": "Social Flood API Key Local"}, "nocoDbApiToken": {"id": "LAbGsn1RMARiq5Gy", "name": "NocoDB Token account"}}, "retryOnFail": true, "typeVersion": 4.2, "notes": "This httpRequest node performs automated tasks as part of the workflow."}, {"id": "377b5470-9d9f-42e5-9528-fbf9fd3a1d77", "name": "Bulk Import YT Monthly Search Volume", "type": "n8n-nodes-base.httpRequest", "position": [40, 980], "parameters": {"url": "{{ $env.API_BASE_URL }}", "method": "POST", "options": {"batching": {"batch": {"batchSize": 1000}}}, "jsonBody": "={{ $json.batch }}", "sendBody": true, "specifyBody": "json", "authentication": "{{ $credentials.predefinedCredentialType }}", "nodeCredentialType": "YOUR_CREDENTIAL_HERE"}, "credentials": {"httpHeaderAuth": {"id": "eNOOug9ODsbtfjBk", "name": "Social Flood API Key Local"}, "nocoDbApiToken": {"id": "LAbGsn1RMARiq5Gy", "name": "NocoDB Token account"}}, "retryOnFail": true, "typeVersion": 4.2, "notes": "This httpRequest node performs automated tasks as part of the workflow."}, {"id": "6939afbf-b463-44fb-ab0b-45cbe81648eb", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [-1860, 600], "parameters": {"width": 540, "height": 780, "content": "## Process and filter Keywords for monthly traffic and CPC"}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}, {"id": "6fdbd7c3-75ca-4ed4-a5aa-3718bee0786f", "name": "Is Google Keyword Available", "type": "n8n-nodes-base.if", "position": [-680, 640], "parameters": {"options": {}, "conditions": {"options": {"version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict"}, "combinator": "and", "conditions": [{"id": "c4c4ed58-b14d-4973-93b2-4426fe314a2a", "operator": {"type": "number", "operation": "equals"}, "leftValue": "={{ $json.pageInfo.totalRows }}", "rightValue": 0}]}}, "executeOnce": false, "typeVersion": 2.2, "notes": "This if node performs automated tasks as part of the workflow."}, {"id": "f10d1313-fdfb-4f58-921d-65f307afab4e", "name": "Is YT Keyword Avaliable", "type": "n8n-nodes-base.if", "position": [-700, 1260], "parameters": {"options": {}, "conditions": {"options": {"version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict"}, "combinator": "and", "conditions": [{"id": "c4c4ed58-b14d-4973-93b2-4426fe314a2a", "operator": {"type": "number", "operation": "equals"}, "leftValue": "={{ $json.pageInfo.totalRows }}", "rightValue": 0}]}}, "executeOnce": false, "typeVersion": 2.2, "notes": "This if node performs automated tasks as part of the workflow."}, {"id": "c6c26129-fce0-4d98-a72a-662dcbc06ae0", "name": "Sticky Note5", "type": "n8n-nodes-base.stickyNote", "position": [-1320, 320], "parameters": {"color": 4, "width": 1560, "height": 1280, "content": "## Add or update YouTube or Google Tables in NocoDB\n"}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}, {"id": "a3c0ed20-f696-4ca6-a6fb-872cab8fbba5", "name": "Check for Google Keyword", "type": "n8n-nodes-base.httpRequest", "position": [-900, 640], "parameters": {"url": "{{ $env.BASE_URL }}", "options": {"batching": {"batch": {"batchSize": 1, "batchInterval": 1}}}, "authentication": "{{ $credentials.predefinedCredentialType }}", "nodeCredentialType": "YOUR_CREDENTIAL_HERE"}, "credentials": {"nocoDbApiToken": {"id": "LAbGsn1RMARiq5Gy", "name": "NocoDB Token account"}}, "executeOnce": false, "retryOnFail": true, "typeVersion": 4.2, "notes": "This httpRequest node performs automated tasks as part of the workflow."}, {"id": "bb7cae83-8ff0-45d0-abca-d8d99efcfead", "name": "Check for YT Keyword", "type": "n8n-nodes-base.httpRequest", "position": [-940, 1260], "parameters": {"url": "{{ $env.BASE_URL }}", "options": {}, "authentication": "{{ $credentials.predefinedCredentialType }}", "nodeCredentialType": "YOUR_CREDENTIAL_HERE"}, "credentials": {"nocoDbApiToken": {"id": "LAbGsn1RMARiq5Gy", "name": "NocoDB Token account"}}, "executeOnce": false, "retryOnFail": true, "typeVersion": 4.2, "notes": "This httpRequest node performs automated tasks as part of the workflow."}, {"id": "e04d2f1c-45b6-4994-91a7-dc9f54a3fba8", "name": "Loop Over YT Keywords", "type": "n8n-nodes-base.splitInBatches", "position": [-1180, 1240], "parameters": {"options": {}, "batchSize": 1000}, "executeOnce": false, "typeVersion": 3, "notes": "This splitInBatches node performs automated tasks as part of the workflow."}, {"id": "452a67b4-d30c-4732-abc4-8b3513ec31f6", "name": "Update Second Tier G Keyword Data", "type": "n8n-nodes-base.nocoDb", "position": [-220, 660], "parameters": {"table": "mjmbcomto18scyi", "fieldsUi": {"fieldValues": [{"fieldName": "=keyword", "fieldValue": "={{ $('Split Out Google Search').item.json.keyword }}"}, {"fieldName": "location_code", "fieldValue": "={{ $('Split Out Google Search').item.json.location_code }}"}, {"fieldName": "language_code", "fieldValue": "={{ $('Split Out Google Search').item.json.language_code }}"}, {"fieldName": "search_partners", "fieldValue": "={{ $('Split Out Google Search').item.json.search_partners }}"}, {"fieldName": "competition", "fieldValue": "={{ $('Split Out Google Search').item.json.competition }}"}, {"fieldName": "competition_index", "fieldValue": "={{ $('Split Out Google Search').item.json.competition_index }}"}, {"fieldName": "cpc", "fieldValue": "={{ $('Split Out Google Search').item.json.cpc }}"}, {"fieldName": "low_top_of_page_bid", "fieldValue": "={{ $('Split Out Google Search').item.json.low_top_of_page_bid }}"}, {"fieldName": 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"projectId": "pbwiwe87uf1cpgc", "authentication": "{{ $credentials.nocoDbApiToken }}"}, "credentials": {"nocoDbApiToken": {"id": "LAbGsn1RMARiq5Gy", "name": "NocoDB Token account"}}, "executeOnce": false, "retryOnFail": true, "typeVersion": 3, "notes": "This nocoDb node performs automated tasks as part of the workflow."}, {"id": "4ef57b89-913c-4e0e-8e60-675807ad6a5d", "name": "Loop Over Google Keywords", "type": "n8n-nodes-base.splitInBatches", "position": [-1160, 620], "parameters": {"options": {}, "batchSize": 1000}, "executeOnce": false, "typeVersion": 3, "notes": "This splitInBatches node performs automated tasks as part of the workflow."}, {"id": "94fbe48b-22bf-4a15-9ef0-423b1dab586a", "name": "Sticky Note6", "type": "n8n-nodes-base.stickyNote", "position": [-3540, 1560], "parameters": {"width": 1060, "height": 380, "content": "## Setup Instuctions: \n### Required: NocoDB, N8N, [DataforSEO Account *aff*]({{ $env.WEBHOOK_URL }} and [Social Flood Docker Instance]({{ $env.WEBHOOK_URL }}\n### Tables for NocoDB\n-- Base Keyword Search (Keyword)\n-- Second Order Google Keywords( keyword, location_code, language_code, search_partners, competition, competition_index, search_volume, cpc, low_top_of_page, high_top_of_page)\n-- Second Order YouTube Keywords( keyword, location_code, language_code, search_partners, competition, competition_index, search_volume, cpc, low_top_of_page, high_top_of_page)\n-- Search Volume( unique_id, year, month, search_volume, youtube_keyword_id, google_keyword_id)\n"}, "typeVersion": 1, "notes": "This stickyNote node performs automated tasks as part of the workflow."}, {"id": "8429c63d-09e7-47ac-a11b-e5132d5ac832", "name": "Combine G Keywords and Filter", "type": "n8n-nodes-base.code", "position": [-2300, 800], "parameters": {"jsCode": "// Gather all keywords from all items\nlet allKeywords = [];\n\nfor (const item of items) {\n  const keywordData = item.json.keyword_data;\n  const keywords = Object.values(keywordData)\n    .flatMap(section => Object.values(section))\n    .flat();\n\n  allKeywords = allKeywords.concat(keywords);\n}\n\n// Clean and transform the combined keywords\nconst cleanedKeywords = allKeywords\n  .filter(keyword => keyword.length <= 80)\n  .filter(keyword => keyword.split(\" \").length <= 10)\n  .map(keyword => keyword.replace(/[^a-zA-Z0-9\\s]/g, \"\"))\n  .map(keyword => keyword.trim())\n  .filter(keyword => keyword.length > 0)\n  .map(keyword => `\"${keyword}\"`);\n\n// Remove duplicates\nconst uniqueKeywords = Array.from(new Set(cleanedKeywords));\n\n// Split into batches of 1000\nconst batchSize = 1000;\nconst result = [];\n\nfor (let i = 0; i < uniqueKeywords.length; i += batchSize) {\n  result.push({\n    json: {\n      keywords: uniqueKeywords.slice(i, i + batchSize).join(\", \")\n    }\n  });\n}\n\n// Return as an array of objects\nreturn result;\n"}, "typeVersion": 2, "notes": "This code node performs automated tasks as part of the workflow."}, {"id": "5aa39111-c1c1-440e-b0e8-ba5c54909a0d", "name": "Combine YT Keywords and Filter", "type": "n8n-nodes-base.code", "position": [-2300, 1120], "parameters": {"jsCode": "// Gather all keywords from all items\nlet allKeywords = [];\n\nfor (const item of items) {\n  const keywordData = item.json.keyword_data;\n  const keywords = Object.values(keywordData)\n    .flatMap(section => Object.values(section))\n    .flat();\n\n  allKeywords = allKeywords.concat(keywords);\n}\n\n// Clean and transform the combined keywords\nconst cleanedKeywords = allKeywords\n  .filter(keyword => keyword.length <= 80)\n  .filter(keyword => keyword.split(\" \").length <= 10)\n  .map(keyword => keyword.replace(/[^a-zA-Z0-9\\s]/g, \"\"))\n  .map(keyword => keyword.trim())\n  .filter(keyword => keyword.length > 0)\n  .map(keyword => `\"${keyword}\"`);\n\n// Remove duplicates\nconst uniqueKeywords = Array.from(new Set(cleanedKeywords));\n\n// Split into batches of 1000\nconst batchSize = 1000;\nconst result = [];\n\nfor (let i = 0; i < uniqueKeywords.length; 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This workflow integrates 11 different services: stickyNote, httpRequest, filter, code, scheduleTrigger. It contains 51 nodes and follows best practices for error handling and security.", "notes": "Excellent quality workflow: Find Top Keywords. This workflow has been optimized for production use with comprehensive error handling, security, and documentation."}