755 lines
22 KiB
JSON
755 lines
22 KiB
JSON
{
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"meta": {
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"instanceId": "10f6e8a86649316fe7041c503c24e6d77b68a961a9f4f1f76d0100c435446092",
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"templateCredsSetupCompleted": true
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},
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"name": "YouTube Comment Sentiment Analyzer",
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"tags": [],
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"nodes": [
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{
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"id": "0bacd739-7ea3-42f5-8986-2f7d47628ee9",
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"name": "Split Out",
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820,
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],
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"parameters": {
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"options": {},
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"fieldToSplitOut": "body.items"
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},
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{
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"id": "236aaaab-6a9a-42d7-8645-980bf8c3254d",
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"name": "OpenAI Chat Model",
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"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
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"position": [
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1080,
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180
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],
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"parameters": {
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"model": {
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"mode": "list",
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"value": "gpt-4o-mini"
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},
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"options": {}
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},
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"credentials": {
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"openAiApi": {
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"id": "4d73v7kxEDNu3n25",
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{
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"id": "d28f3fbf-6013-47af-ba84-3bdd9800fd3b",
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"name": "Get Video Urls from Google Sheet",
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"type": "n8n-nodes-base.googleSheets",
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"position": [
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-200,
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-40
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],
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"parameters": {
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"value": 760258523,
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"cachedResultName": "Youtube Videos Comments"
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},
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"authentication": "serviceAccount"
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},
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"credentials": {
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"googleApi": {
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"id": "jPoTdPxgVL0vr9SQ",
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"name": "Google Sheets account"
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}
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"typeVersion": 4.5
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},
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{
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"id": "0ac06530-cfe7-4f1c-8c0a-8def2126df0f",
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"name": "check next fetch time is available or not",
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"type": "n8n-nodes-base.if",
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"position": [
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-20,
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-40
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],
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"parameters": {
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"options": {},
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"conditions": {
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"options": {
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"version": 2,
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"leftValue": "",
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"caseSensitive": true,
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"typeValidation": "strict"
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},
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"conditions": [
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{
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"id": "92084960-e023-4cd6-a5c0-ddd43275cc33",
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"operator": {
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"type": "string",
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"operation": "empty",
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"singleValue": true
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},
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"leftValue": "={{ $json.next_fetch_time }}",
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"rightValue": "={{ $now.toISO() }}"
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}
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]
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}
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},
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"typeVersion": 2.2
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},
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{
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"id": "ba42f450-3b0c-41a3-8e72-d2a38b97cfc7",
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"name": "check next fetch time is before the current time",
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"type": "n8n-nodes-base.if",
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"position": [
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160,
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80
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],
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"parameters": {
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"options": {},
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"conditions": {
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"options": {
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"version": 2,
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"leftValue": "",
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"caseSensitive": true,
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"typeValidation": "strict"
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},
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"combinator": "and",
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"conditions": [
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{
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"id": "40c8d081-b298-46b1-850c-2322ed89d18d",
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"operator": {
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"type": "dateTime",
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"operation": "before"
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},
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"leftValue": "={{ $json.next_fetch_time }}",
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"rightValue": "={{ $now.toISO() }}"
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}
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]
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}
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},
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"typeVersion": 2.2
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},
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{
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"id": "aad11f42-b976-41d7-b771-151da60391d6",
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"name": "Get Comments for video urls",
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"type": "n8n-nodes-base.httpRequest",
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"position": [
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360,
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-60
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],
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"parameters": {
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"url": "https://www.googleapis.com/youtube/v3/commentThreads",
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"options": {
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"response": {
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"response": {
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"fullResponse": true,
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"responseFormat": "json"
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}
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},
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"pagination": {
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"pagination": {
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"parameters": {
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"parameters": [
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{
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"name": "pageToken",
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"value": "={{ $response.body.nextPageToken }}"
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}
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]
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},
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"completeExpression": "={{ !$response.body.nextPageToken}}",
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"paginationCompleteWhen": "other"
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}
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}
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},
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"sendQuery": true,
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"authentication": "genericCredentialType",
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"genericAuthType": "httpQueryAuth",
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"queryParameters": {
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"parameters": [
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{
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"name": "part",
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"value": "snippet"
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},
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{
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"name": "videoId",
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"value": "={{ $json[\"video_urls\"].match(/(?:v=|\\/)([0-9A-Za-z_-]{11})/)[1] || ''}}"
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},
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{
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"name": "maxResults",
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"value": "100"
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}
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]
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}
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},
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"credentials": {
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"httpQueryAuth": {
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"id": "LmsYEaslJmA6CMdL",
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"name": "Query Auth account 4"
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}
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},
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"typeVersion": 4.2
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},
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{
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"id": "4cf1ebd0-e260-4e53-bc26-be1db2f6e7f2",
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"name": "Analyze sentiment of every comment",
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"type": "@n8n/n8n-nodes-langchain.sentimentAnalysis",
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"position": [
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1060,
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-40
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],
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"parameters": {
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"options": {
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"categories": "Positive, Neutral, Negative",
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"systemPromptTemplate": "You are highly intelligent and accurate sentiment analyzer. Analyze the sentiment of the provided text. Categorize it into one of the following: {categories}. Use the provided formatting instructions. Only output the JSON."
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},
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"inputText": "={{ $json.snippet.topLevelComment.snippet.textOriginal }}"
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},
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"typeVersion": 1
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},
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{
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"id": "f306c5cd-6b6b-46fa-b7ef-f3ccef960931",
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"name": "Format fields as required to save in google sheet",
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"type": "n8n-nodes-base.set",
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"position": [
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1500,
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-40
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],
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"parameters": {
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"options": {},
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"assignments": {
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"assignments": [
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{
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"id": "25fb96a0-de38-4495-8473-0385a3fd5df9",
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"name": "commentId",
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"type": "string",
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"value": "={{ $json.snippet.topLevelComment.id }}"
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},
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{
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"id": "d824ecd0-89c0-4c07-992f-6a5d3421690e",
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"name": "video_url",
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"type": "string",
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"value": "=https://www.youtube.com/watch?v={{ $json.snippet.videoId }}"
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},
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{
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"id": "cdcbc3d9-ab3e-4d7d-80a7-bfe168b0ed27",
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"name": "comment",
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"type": "string",
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"value": "={{ $json.snippet.topLevelComment.snippet.textOriginal }}"
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},
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{
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"id": "20bcfe96-3904-44d2-b72a-9eb49d603c8d",
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"name": "authorName",
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"type": "string",
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"value": "={{ $json.snippet.topLevelComment.snippet.authorDisplayName }}"
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},
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{
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"id": "c92f56bf-8b37-4c4e-9ce7-b7a49d63deee",
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"name": "likes",
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"type": "string",
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"value": "={{ $json.snippet.topLevelComment.snippet.likeCount }}"
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},
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{
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"id": "7cc4fdb3-7c41-418a-bf4f-71081fe9df74",
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"name": "reply",
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"type": "string",
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"value": "={{ $json.snippet.totalReplyCount }}"
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},
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{
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"id": "9988ea66-7f31-4b2c-90ab-3cad8efabf95",
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"name": "sentiment",
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"type": "string",
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"value": "={{ $json.sentimentAnalysis.category }}"
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},
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{
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"id": "6552df27-6e04-4048-b3c2-1e1755ccac28",
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"name": "published_at",
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"type": "string",
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"value": "={{ $json.snippet.topLevelComment.snippet.publishedAt }}"
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}
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]
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}
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},
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"typeVersion": 3.4
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},
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{
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"id": "6cd20a6e-8bcc-44c7-a62d-e3c3c75e6d9a",
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"name": "Insert and update comment in google sheet",
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"type": "n8n-nodes-base.googleSheets",
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"position": [
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1720,
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-40
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],
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"parameters": {
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"columns": {
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"value": {},
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"schema": [
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{
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"id": "commentId",
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"type": "string",
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"display": true,
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"removed": false,
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"required": false,
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"displayName": "commentId",
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"defaultMatch": false,
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"canBeUsedToMatch": true
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},
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{
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"id": "video_url",
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"type": "string",
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"display": true,
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"required": false,
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"displayName": "video_url",
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"defaultMatch": false,
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"canBeUsedToMatch": true
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},
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{
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"id": "comment",
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"type": "string",
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"display": true,
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"required": false,
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"displayName": "comment",
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"defaultMatch": false,
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"canBeUsedToMatch": true
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},
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{
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"id": "authorName",
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"type": "string",
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"display": true,
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"required": false,
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"displayName": "authorName",
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"defaultMatch": false,
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"canBeUsedToMatch": true
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},
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{
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"id": "likes",
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"type": "string",
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"display": true,
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"required": false,
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"displayName": "likes",
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"defaultMatch": false,
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"canBeUsedToMatch": true
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},
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{
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"id": "reply",
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"type": "string",
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"display": true,
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"required": false,
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"displayName": "reply",
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"defaultMatch": false,
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"canBeUsedToMatch": true
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},
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{
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"id": "sentiment",
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"type": "string",
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"display": true,
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"required": false,
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"displayName": "sentiment",
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"defaultMatch": false,
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"canBeUsedToMatch": true
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},
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{
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"id": "published_at",
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"type": "string",
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"display": true,
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"required": false,
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"displayName": "published_at",
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"defaultMatch": false,
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"canBeUsedToMatch": true
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}
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],
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"mappingMode": "autoMapInputData",
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"matchingColumns": [
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"commentId"
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],
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"attemptToConvertTypes": false,
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"convertFieldsToString": false
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},
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"options": {},
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"operation": "appendOrUpdate",
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"sheetName": {
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"__rl": true,
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"mode": "list",
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"value": "gid=0",
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"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1xoCVr_mlwn4jFcnJENtrU-_K5nkIytZ8qBXzxMq55n4/edit#gid=0",
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"cachedResultName": "Sheet1"
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},
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"documentId": {
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"__rl": true,
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"mode": "list",
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"value": "1xoCVr_mlwn4jFcnJENtrU-_K5nkIytZ8qBXzxMq55n4",
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"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1xoCVr_mlwn4jFcnJENtrU-_K5nkIytZ8qBXzxMq55n4/edit?usp=drivesdk",
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"cachedResultName": "Youtube Videos Comments"
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},
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"authentication": "serviceAccount"
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},
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"credentials": {
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"googleApi": {
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"id": "jPoTdPxgVL0vr9SQ",
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"name": "Google Sheets account"
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}
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},
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"typeVersion": 4.5
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},
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{
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"id": "ea240f38-1462-402b-8db2-36b3e8664c2f",
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"name": "Update last fetched time and next_fetch_time",
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"type": "n8n-nodes-base.googleSheets",
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"position": [
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1940,
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-40
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],
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"parameters": {
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"columns": {
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"value": {
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"video_urls": "={{ $('Get Video Urls from Google Sheet').item.json.video_urls }}",
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"next_fetch_time": "={{ $now.plus(5, 'min').toISO() }}",
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"last_fetched_time": "={{ $now.toISO() }}"
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},
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"schema": [
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{
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"id": "video_urls",
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"type": "string",
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"display": true,
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"removed": false,
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"required": false,
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"displayName": "video_urls",
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"defaultMatch": false,
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"canBeUsedToMatch": true
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},
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{
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"id": "last_fetched_time",
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"type": "string",
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"display": true,
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"required": false,
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"displayName": "last_fetched_time",
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"defaultMatch": false,
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"canBeUsedToMatch": true
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},
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{
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"id": "next_fetch_time",
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"type": "string",
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"display": true,
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"required": false,
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"displayName": "next_fetch_time",
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"defaultMatch": false,
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"canBeUsedToMatch": true
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}
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],
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"mappingMode": "defineBelow",
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"matchingColumns": [
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"video_urls"
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],
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"attemptToConvertTypes": false,
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"convertFieldsToString": false
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},
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"options": {},
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"operation": "appendOrUpdate",
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"sheetName": {
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"__rl": true,
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"cachedResultName": "Sheet2"
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"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1xoCVr_mlwn4jFcnJENtrU-_K5nkIytZ8qBXzxMq55n4/edit?usp=drivesdk",
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"cachedResultName": "Youtube Videos Comments"
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},
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"authentication": "serviceAccount"
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},
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"credentials": {
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"googleApi": {
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"id": "jPoTdPxgVL0vr9SQ",
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"name": "Google Sheets account"
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}
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},
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"typeVersion": 4.5
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},
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{
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"id": "610fa83c-a626-42c0-aa8b-1ebb1a6bcf44",
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"name": "No Operation, do nothing1",
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"type": "n8n-nodes-base.noOp",
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"position": [
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820,
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140
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],
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"parameters": {},
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"typeVersion": 1
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},
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{
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"id": "30570a68-78b8-434e-bb20-ea85a0689a63",
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"name": "When clicking ‘Test workflow’",
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"type": "n8n-nodes-base.manualTrigger",
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"position": [
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-380,
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-40
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],
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"parameters": {},
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"typeVersion": 1
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},
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{
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"content": "\n# 🚀 YouTube Comment Sentiment Analyzer with Google Sheets & OpenAI"
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"content": "### **How to Use This Workflow:**\n📝 **YouTube Comment Sentiment Analyzer**\n\n1. 🔘 **Trigger:** Click \"Execute Workflow\" to run it manually.\n\n2. 📄 Your Google Sheet should have **2 sheets**:\n - **Sheet1 (Results with Sentiment):**\n - Column A: `commentId` (YouTube comment id)\n - Column B: `video_url` (url of video)\n - Column C: `comment` (YouTube comment)\n - Column D: `authorName` (Name of author as per Youtube)\n - Column E: `likes` (Number of likes on that particular comment)\n - Column f: `reply` (Number of replies on that particular comment)\n - Column g: `sentiment` (Analyzed sentiment of the comment)\n - Column h: `published_at` (timestamp of comment published)\n \n - **Sheet2 (Video URLs):**\n - Column A: `video_urls` (list of YouTube video URLs)\n - Column B: `last_fetched_time` (timestamp of the last fetch)\n - Column C: `next_fetch_time` (time for the next fetch)\n\n3. 🔐 **Make sure these credentials are set up**:\n - Google Sheets (Service Account)\n - YouTube Data API v3\n - OpenAI API Key (for sentiment analysis)\n\n4. ✅ **What this workflow does**:\n - Reads **video URLs** from **Sheet2**.\n - Checks **last fetched time** (if applicable).\n - Fetches new comments from YouTube.\n - Analyzes sentiment using OpenAI.\n - Appends **comment**, **sentiment**, **video ID**, and **timestamp** to **Sheet1**.\n - Updates **last_fetched** timestamp in **Sheet2**.\n\n5. 💡 **Tip:**\n - You can replace the **Manual Trigger** with a **Cron node** for automatic execution at specified intervals.\n"
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