Find Top Keywords
工作流概述
这是一个包含35个节点的复杂工作流，主要用于自动化处理各种任务。
工作流源代码
{
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"meta": {
"instanceId": "5fdeff34cb31eeba72e9ea7f1100a8cb9dfce8edcd1fd736c5a33060890e9b77",
"templateCredsSetupCompleted": true
},
"name": "Find Top Keywords",
"tags": [],
"nodes": [
{
"id": "386c7972-34c2-4f51-9329-dee7f6a7511b",
"name": "When clicking ‘Test workflow’",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-3440,
760
],
"parameters": {},
"typeVersion": 1
},
{
"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
},
{
"id": "a24af92b-849d-48ee-aedd-6c7e75d9c902",
"name": "Gen Time",
"type": "n8n-nodes-base.code",
"position": [
-3160,
940
],
"parameters": {
"jsCode": "// Get today's date
const today = new Date();
// Subtract one day to get the previous day
const yesterday = new Date(today);
yesterday.setDate(today.getDate() - 1);
// Format the date as yyyy-mm-dd
const year = yesterday.getFullYear();
const month = String(yesterday.getMonth() + 1).padStart(2, '0'); // Month is zero-indexed
const day = String(yesterday.getDate()).padStart(2, '0');
const formattedDate = `${year}-${month}-${day}`;
// Set the formatted date to be used in a later node
return [{ json: { previousDay: formattedDate } }];"
},
"typeVersion": 2
},
{
"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
},
{
"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
},
{
"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
},
{
"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": "nocoDbApiToken"
},
"credentials": {
"nocoDbApiToken": {
"id": "LAbGsn1RMARiq5Gy",
"name": "NocoDB Token account"
}
},
"typeVersion": 3
},
{
"id": "fef9283e-886a-486b-a51f-0f459f4b18e0",
"name": "Second Order Google Autocomplete Keywords",
"type": "n8n-nodes-base.httpRequest",
"position": [
-2620,
800
],
"parameters": {
"url": "http://192.168.1.110:8000/google-search/autocomplete-keywords",
"options": {},
"sendQuery": true,
"sendHeaders": true,
"authentication": "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
},
{
"id": "fad88d1e-a14e-4cc1-9ac1-dcc6126355c4",
"name": "Google Search Volume",
"type": "n8n-nodes-base.httpRequest",
"position": [
-2020,
800
],
"parameters": {
"url": "https://api.dataforseo.com/v3/keywords_data/google_ads/search_volume/live",
"method": "POST",
"options": {},
"jsonBody": "=[
{
\"location_code\": 2840,
\"language_code\": \"en\",
\"keywords\": [{{ $json.keywords }}],
\"date_from\": \"2021-08-01\",
\"search_partners\": false
}
]",
"sendBody": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpBasicAuth"
},
"credentials": {
"httpBasicAuth": {
"id": "7k7huetjBCcDO7uR",
"name": "Data for SEO Basic Auth"
}
},
"executeOnce": false,
"typeVersion": 4.2
},
{
"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
},
{
"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
},
{
"id": "12f53197-a03e-4862-a6cf-d4feffd49b29",
"name": "YouTube Search Volume",
"type": "n8n-nodes-base.httpRequest",
"position": [
-2020,
1120
],
"parameters": {
"url": "https://api.dataforseo.com/v3/keywords_data/google_ads/search_volume/live",
"method": "POST",
"options": {},
"jsonBody": "=[
{
\"location_code\": 2840,
\"language_code\": \"en\",
\"keywords\": [{{ $json.keywords }}],
\"date_from\": \"2021-08-01\",
\"search_partners\": true,
\"sort_by\": \"search_volume\"
}
]",
"sendBody": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpBasicAuth"
},
"credentials": {
"httpBasicAuth": {
"id": "7k7huetjBCcDO7uR",
"name": "Data for SEO Basic Auth"
}
},
"executeOnce": false,
"typeVersion": 4.2
},
{
"id": "d0173c03-c803-4c64-9c87-48a47952085f",
"name": "Second Order YouTube Autocomplete Keywords",
"type": "n8n-nodes-base.httpRequest",
"position": [
-2620,
1120
],
"parameters": {
"url": "http://192.168.1.110:8000/google-search/autocomplete-keywords",
"options": {
"redirect": {
"redirect": {}
}
},
"sendQuery": true,
"sendHeaders": true,
"authentication": "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
},
{
"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
},
{
"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
},
{
"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
},
{
"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": "nocoDbApiToken"
},
"credentials": {
"nocoDbApiToken": {
"id": "LAbGsn1RMARiq5Gy",
"name": "NocoDB Token account"
}
},
"executeOnce": false,
"retryOnFail": true,
"typeVersion": 3
},
{
"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": "nocoDbApiToken"
},
"credentials": {
"nocoDbApiToken": {
"id": "LAbGsn1RMARiq5Gy",
"name": "NocoDB Token account"
}
},
"executeOnce": false,
"retryOnFail": true,
"typeVersion": 3
},
{
"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
const loopData = $node[\"Loop Over Google Keywords\"].json;
if (!loopData || !loopData.monthly_searches || !Array.isArray(loopData.monthly_searches)) {
throw new Error(\"monthly_searches data is missing or not an array from Loop Over Google Keywords node.\");
}
const monthlySearches = loopData.monthly_searches;
// Get all items from the \"Add Second Tier G Keyword Data\" node
const secondTierItems = $items(\"Add Second Tier G Keyword Data\");
if (!secondTierItems || secondTierItems.length === 0) {
throw new Error(\"No data found in Add Second Tier G Keyword Data node.\");
}
const results = [];
// Loop through each second-tier item
secondTierItems.forEach(itemWrapper => {
const item = itemWrapper.json;
// Validate that the required properties exist on the second-tier item.
if (!item.keyword || item.Id === undefined) {
throw new Error(\"A second tier item is missing 'keyword' or 'Id'.\");
}
// For each monthly search record, combine with the second-tier data
monthlySearches.forEach(record => {
// Validate that each monthly record has the required properties.
if (record.year === undefined || record.month === undefined || record.search_volume === undefined) {
throw new Error(\"A monthly search record is missing 'year', 'month', or 'search_volume'.\");
}
results.push({
json: {
keyword: item.keyword,
google_keyword_id: item.Id,
year: record.year,
month: record.month,
search_volume: record.search_volume,
unique_id: `${record.year}-${record.month}-${item.keyword}`
}
});
});
});
// Chunk the results into batches of 1000 items each
const batchSize = 1000;
const batchedResults = [];
for (let i = 0; i < results.length; i += batchSize) {
// Create a batch containing up to batchSize items
const batchItems = results.slice(i, i + batchSize).map(item => item.json);
batchedResults.push({
json: {
batch: batchItems
}
});
}
return batchedResults;
"
},
"typeVersion": 2,
"alwaysOutputData": false
},
{
"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
const loopData = $node[\"Loop Over YT Keywords\"].json;
if (!loopData || !loopData.monthly_searches || !Array.isArray(loopData.monthly_searches)) {
throw new Error(\"monthly_searches data is missing or not an array from Loop Over YT Keywords node.\");
}
const monthlySearches = loopData.monthly_searches;
// Get all items from the \"Add Second Tier G Keyword Data\" node
const secondTierItems = $items(\"Add Second Tier YT Keyword Data\");
if (!secondTierItems || secondTierItems.length === 0) {
throw new Error(\"No data found in Add Second Tier YT Keyword Data node.\");
}
const results = [];
// Loop through each second-tier item
secondTierItems.forEach(itemWrapper => {
const item = itemWrapper.json;
// Validate that the required properties exist on the second-tier item.
if (!item.keyword || item.Id === undefined) {
throw new Error(\"A second tier item is missing 'keyword' or 'Id'.\");
}
// For each monthly search record, combine with the second-tier data
monthlySearches.forEach(record => {
// Validate that each monthly record has the required properties.
if (record.year === undefined || record.month === undefined || record.search_volume === undefined) {
throw new Error(\"A monthly search record is missing 'year', 'month', or 'search_volume'.\");
}
results.push({
json: {
keyword: item.keyword,
google_keyword_id: item.Id,
year: record.year,
month: record.month,
search_volume: record.search_volume,
unique_id: `${record.year}-${record.month}-${item.keyword}`
}
});
});
});
// Chunk the results into batches of 1000 items each
const batchSize = 1000;
const batchedResults = [];
for (let i = 0; i < results.length; i += batchSize) {
// Create a batch containing up to batchSize items
const batchItems = results.slice(i, i + batchSize).map(item => item.json);
batchedResults.push({
json: {
batch: batchItems
}
});
}
return batchedResults;
"
},
"typeVersion": 2
},
{
"id": "67848762-a140-4c63-b8ca-e20331135741",
"name": "Bulk Import G Monthly Search Volume",
"type": "n8n-nodes-base.httpRequest",
"position": [
0,
400
],
"parameters": {
"url": "http://192.168.1.186:8080/api/v2/tables/ma51kvf78diz0sg/records",
"method": "POST",
"options": {
"batching": {
"batch": {
"batchSize": 1000
}
}
},
"jsonBody": "={{ $json.batch }}",
"sendBody": true,
"specifyBody": "json",
"authentication": "predefinedCredentialType",
"nodeCredentialType": "nocoDbApiToken"
},
"credentials": {
"httpHeaderAuth": {
"id": "eNOOug9ODsbtfjBk",
"name": "Social Flood API Key Local"
},
"nocoDbApiToken": {
"id": "LAbGsn1RMARiq5Gy",
"name": "NocoDB Token account"
}
},
"retryOnFail": true,
"typeVersion": 4.2
},
{
"id": "377b5470-9d9f-42e5-9528-fbf9fd3a1d77",
"name": "Bulk Import YT Monthly Search Volume",
"type": "n8n-nodes-base.httpRequest",
"position": [
40,
980
],
"parameters": {
"url": "http://192.168.1.186:8080/api/v2/tables/ma51kvf78diz0sg/records",
"method": "POST",
"options": {
"batching": {
"batch": {
"batchSize": 1000
}
}
},
"jsonBody": "={{ $json.batch }}",
"sendBody": true,
"specifyBody": "json",
"authentication": "predefinedCredentialType",
"nodeCredentialType": "nocoDbApiToken"
},
"credentials": {
"httpHeaderAuth": {
"id": "eNOOug9ODsbtfjBk",
"name": "Social Flood API Key Local"
},
"nocoDbApiToken": {
"id": "LAbGsn1RMARiq5Gy",
"name": "NocoDB Token account"
}
},
"retryOnFail": true,
"typeVersion": 4.2
},
{
"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
},
{
"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
},
{
"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
},
{
"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
"
},
"typeVersion": 1
},
{
"id": "a3c0ed20-f696-4ca6-a6fb-872cab8fbba5",
"name": "Check for Google Keyword",
"type": "n8n-nodes-base.httpRequest",
"position": [
-900,
640
],
"parameters": {
"url": "=http://192.168.1.186:8080/api/v2/tables/mjmbcomto18scyi/records?where=(keyword,eq,{{ $json.keyword }})",
"options": {
"batching": {
"batch": {
"batchSize": 1,
"batchInterval": 1
}
}
},
"authentication": "predefinedCredentialType",
"nodeCredentialType": "nocoDbApiToken"
},
"credentials": {
"nocoDbApiToken": {
"id": "LAbGsn1RMARiq5Gy",
"name": "NocoDB Token account"
}
},
"executeOnce": false,
"retryOnFail": true,
"typeVersion": 4.2
},
{
"id": "bb7cae83-8ff0-45d0-abca-d8d99efcfead",
"name": "Check for YT Keyword",
"type": "n8n-nodes-base.httpRequest",
"position": [
-940,
1260
],
"parameters": {
"url": "=http://192.168.1.186:8080/api/v2/tables/m8bp2fnwtqsd2m7/records/?where=(keyword,eq,{{ $json.keyword }})",
"options": {},
"authentication": "predefinedCredentialType",
"nodeCredentialType": "nocoDbApiToken"
},
"credentials": {
"nocoDbApiToken": {
"id": "LAbGsn1RMARiq5Gy",
"name": "NocoDB Token account"
}
},
"executeOnce": false,
"retryOnFail": true,
"typeVersion": 4.2
},
{
"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
},
{
"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": "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 }}"
},
{
"fieldName": "id",
"fieldValue": "={{ $json.list[0].Id }}"
}
]
},
"operation": "update",
"projectId": "pbwiwe87uf1cpgc",
"authentication": "nocoDbApiToken"
},
"credentials": {
"nocoDbApiToken": {
"id": "LAbGsn1RMARiq5Gy",
"name": "NocoDB Token account"
}
},
"executeOnce": false,
"retryOnFail": true,
"typeVersion": 3
},
{
"id": "e50cc116-3b5b-4908-b0b6-8781360cb5f2",
"name": "Update Second Tier YT Keyword Data",
"type": "n8n-nodes-base.nocoDb",
"position": [
-440,
1280
],
"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 }}"
},
{
"fieldName": "id",
"fieldValue": "={{ $json.list[0].Id }}"
}
]
},
"operation": "update",
"projectId": "pbwiwe87uf1cpgc",
"authentication": "nocoDbApiToken"
},
"credentials": {
"nocoDbApiToken": {
"id": "LAbGsn1RMARiq5Gy",
"name": "NocoDB Token account"
}
},
"executeOnce": false,
"retryOnFail": true,
"typeVersion": 3
},
{
"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
},
{
"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:
### Required: NocoDB, N8N, [DataforSEO Account *aff*](https://app.dataforseo.com/?aff=184401), and [Social Flood Docker Instance](https://github.com/rainmanjam/social-flood)
### Tables for NocoDB
-- Base Keyword Search (Keyword)
-- 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)
-- 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)
-- Search Volume( unique_id, year, month, search_volume, youtube_keyword_id, google_keyword_id)
"
},
"typeVersion": 1
},
{
"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
let allKeywords = [];
for (const item of items) {
const keywordData = item.json.keyword_data;
const keywords = Object.values(keywordData)
.flatMap(section => Object.values(section))
.flat();
allKeywords = allKeywords.concat(keywords);
}
// Clean and transform the combined keywords
const cleanedKeywords = allKeywords
.filter(keyword => keyword.length <= 80)
.filter(keyword => keyword.split(\" \").length <= 10)
.map(keyword => keyword.replace(/[^a-zA-Z0-9\s]/g, \"\"))
.map(keyword => keyword.trim())
.filter(keyword => keyword.length > 0)
.map(keyword => `\"${keyword}\"`);
// Remove duplicates
const uniqueKeywords = Array.from(new Set(cleanedKeywords));
// Split into batches of 1000
const batchSize = 1000;
const result = [];
for (let i = 0; i < uniqueKeywords.length; i += batchSize) {
result.push({
json: {
keywords: uniqueKeywords.slice(i, i + batchSize).join(\", \")
}
});
}
// Return as an array of objects
return result;
"
},
"typeVersion": 2
},
{
"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
let allKeywords = [];
for (const item of items) {
const keywordData = item.json.keyword_data;
const keywords = Object.values(keywordData)
.flatMap(section => Object.values(section))
.flat();
allKeywords = allKeywords.concat(keywords);
}
// Clean and transform the combined keywords
const cleanedKeywords = allKeywords
.filter(keyword => keyword.length <= 80)
.filter(keyword => keyword.split(\" \").length <= 10)
.map(keyword => keyword.replace(/[^a-zA-Z0-9\s]/g, \"\"))
.map(keyword => keyword.trim())
.filter(keyword => keyword.length > 0)
.map(keyword => `\"${keyword}\"`);
// Remove duplicates
const uniqueKeywords = Array.from(new Set(cleanedKeywords));
// Split into batches of 1000
const batchSize = 1000;
const result = [];
for (let i = 0; i < uniqueKeywords.length; i += batchSize) {
result.push({
json: {
keywords: uniqueKeywords.slice(i, i + batchSize).join(\", \")
}
});
}
// Return as an array of objects
return result;
"
},
"typeVersion": 2
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "2712313f-4b1e-4f5b-8c6b-1f456896d981",
"connections": {
"NocoDB": {
"main": [
[
{
"node": "Second Order YouTube Autocomplete Keywords",
"type": "main",
"index": 0
},
{
"node": "Second Order Google Autocomplete Keywords",
"type": "main",
"index": 0
}
]
]
},
"Gen Time": {
"main": [
[
{
"node": "NocoDB",
"type": "main",
"index": 0
}
]
]
},
"YT Filter": {
"main": [
[
{
"node": "Loop Over YT Keywords",
"type": "main",
"index": 0
}
]
]
},
"Format G Data": {
"main": [
[
{
"node": "Bulk Import G Monthly Search Volume",
"type": "main",
"index": 0
}
]
]
},
"Google Filter": {
"main": [
[
{
"node": "Loop Over Google Keywords",
"type": "main",
"index": 0
}
]
]
},
"Format YT Data": {
"main": [
[
{
"node": "Bulk Import YT Monthly Search Volume",
"type": "main",
"index": 0
}
]
]
},
"Schedule Trigger": {
"main": [
[
{
"node": "Gen Time",
"type": "main",
"index": 0
}
]
]
},
"Split Out YT Search": {
"main": [
[
{
"node": "YT Filter",
"type": "main",
"index": 0
}
]
]
},
"Check for YT Keyword": {
"main": [
[
{
"node": "Is YT Keyword Avaliable",
"type": "main",
"index": 0
}
]
]
},
"Google Search Volume": {
"main": [
[
{
"node": "Split Out Google Search",
"type": "main",
"index": 0
}
]
]
},
"Loop Over YT Keywords": {
"main": [
[],
[
{
"node": "Check for YT Keyword",
"type": "main",
"index": 0
}
]
]
},
"YouTube Search Volume": {
"main": [
[
{
"node": "Split Out YT Search",
"type": "main",
"index": 0
}
]
]
},
"Is YT Keyword Avaliable": {
"main": [
[
{
"node": "Add Second Tier YT Keyword Data",
"type": "main",
"index": 0
}
],
[
{
"node": "Update Second Tier YT Keyword Data",
"type": "main",
"index": 0
}
]
]
},
"Split Out Google Search": {
"main": [
[
{
"node": "Google Filter",
"type": "main",
"index": 0
}
]
]
},
"Check for Google Keyword": {
"main": [
[
{
"node": "Is Google Keyword Available",
"type": "main",
"index": 0
}
]
]
},
"Loop Over Google Keywords": {
"main": [
[],
[
{
"node": "Check for Google Keyword",
"type": "main",
"index": 0
}
]
]
},
"Is Google Keyword Available": {
"main": [
[
{
"node": "Add Second Tier G Keyword Data",
"type": "main",
"index": 0
}
],
[
{
"node": "Update Second Tier G Keyword Data",
"type": "main",
"index": 0
}
]
]
},
"Combine G Keywords and Filter": {
"main": [
[
{
"node": "Google Search Volume",
"type": "main",
"index": 0
}
]
]
},
"Add Second Tier G Keyword Data": {
"main": [
[
{
"node": "Format G Data",
"type": "main",
"index": 0
}
]
]
},
"Combine YT Keywords and Filter": {
"main": [
[
{
"node": "YouTube Search Volume",
"type": "main",
"index": 0
}
]
]
},
"Add Second Tier YT Keyword Data": {
"main": [
[
{
"node": "Format YT Data",
"type": "main",
"index": 0
}
]
]
},
"Update Second Tier G Keyword Data": {
"main": [
[
{
"node": "Loop Over Google Keywords",
"type": "main",
"index": 0
}
]
]
},
"When clicking ‘Test workflow’": {
"main": [
[
{
"node": "Gen Time",
"type": "main",
"index": 0
}
]
]
},
"Update Second Tier YT Keyword Data": {
"main": [
[
{
"node": "Loop Over YT Keywords",
"type": "main",
"index": 0
}
]
]
},
"Bulk Import G Monthly Search Volume": {
"main": [
[
{
"node": "Loop Over Google Keywords",
"type": "main",
"index": 0
}
]
]
},
"Bulk Import YT Monthly Search Volume": {
"main": [
[
{
"node": "Loop Over YT Keywords",
"type": "main",
"index": 0
}
]
]
},
"Second Order Google Autocomplete Keywords": {
"main": [
[
{
"node": "Combine G Keywords and Filter",
"type": "main",
"index": 0
}
]
]
},
"Second Order YouTube Autocomplete Keywords": {
"main": [
[
{
"node": "Combine YT Keywords and Filter",
"type": "main",
"index": 0
}
]
]
}
}
}功能特点
- 自动检测新邮件
- AI智能内容分析
- 自定义分类规则
- 批量处理能力
- 详细的处理日志
技术分析
节点类型及作用
- Manualtrigger
- Scheduletrigger
- Code
- Stickynote
- Nocodb
复杂度评估
配置难度：
维护难度：
扩展性：
实施指南
前置条件
- 有效的Gmail账户
- n8n平台访问权限
- Google API凭证
- AI分类服务订阅
配置步骤
- 在n8n中导入工作流JSON文件
- 配置Gmail节点的认证信息
- 设置AI分类器的API密钥
- 自定义分类规则和标签映射
- 测试工作流执行
- 配置定时触发器（可选）
关键参数
| 参数名称 | 默认值 | 说明 |
|---|---|---|
| maxEmails | 50 | 单次处理的最大邮件数量 |
| confidenceThreshold | 0.8 | 分类置信度阈值 |
| autoLabel | true | 是否自动添加标签 |
最佳实践
优化建议
- 定期更新AI分类模型以提高准确性
- 根据邮件量调整处理批次大小
- 设置合理的分类置信度阈值
- 定期清理过期的分类规则
安全注意事项
- 妥善保管API密钥和认证信息
- 限制工作流的访问权限
- 定期审查处理日志
- 启用双因素认证保护Gmail账户
性能优化
- 使用增量处理减少重复工作
- 缓存频繁访问的数据
- 并行处理多个邮件分类任务
- 监控系统资源使用情况
故障排除
常见问题
邮件未被正确分类
检查AI分类器的置信度阈值设置，适当降低阈值或更新训练数据。
Gmail认证失败
确认Google API凭证有效且具有正确的权限范围，重新进行OAuth授权。
调试技巧
- 启用详细日志记录查看每个步骤的执行情况
- 使用测试邮件验证分类逻辑
- 检查网络连接和API服务状态
- 逐步执行工作流定位问题节点
错误处理
工作流包含以下错误处理机制：
- 网络超时自动重试（最多3次）
- API错误记录和告警
- 处理失败邮件的隔离机制
- 异常情况下的回滚操作