Génération de rapports d'enquête personnalisés et récapitulatifs avec Jotform et l'IA Gemini
Ceci est uncontenant 18 nœuds.Utilise principalement des nœuds comme Set, Code, Wait, Gmail, SplitOut. Utiliser Jotform et Gemini AI pour générer des rapports d'enquête personnalisés et récapitulatifs
- •Compte Google et informations d'identification Gmail API
- •Peut nécessiter les informations d'identification d'authentification de l'API cible
- •Clé API Google Gemini
Nœuds utilisés (18)
Catégorie
{
"meta": {
"instanceId": "02059f0cb4b0ce23b903e8adf7a801dac35cd440dae5af845bde6649af1dcbcf",
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "7e0aa177-12cf-4a1c-a035-2a5aaf460bff",
"name": "Déclencheur de Soumission de Formulaire",
"type": "n8n-nodes-base.jotFormTrigger",
"position": [
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],
"webhookId": "YOUR_WEBHOOK_ID_FORM_SUBMISSION_TRIGGER",
"parameters": {
"form": "YOUR_JOTFORM_FORM_ID"
},
"typeVersion": 1
},
{
"id": "ea0090ca-7a4d-481c-b3ad-469d70fa292e",
"name": "Collecte de Réponse Individuelle",
"type": "n8n-nodes-base.aggregate",
"position": [
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"parameters": {
"options": {},
"aggregate": "aggregateAllItemData"
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"typeVersion": 1
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{
"id": "9bd60900-84a2-400d-8fb7-09b7ce7600bf",
"name": "Générer un Rapport Personnalisé",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
8352,
5072
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"parameters": {
"text": "=Analyze this survey response and generate a concise personalized report.\n\ntodays date :- {{ $now }}\n\nRESPONDENT DATA:\n{{ $json.data.toJsonString() }}\n\nINSTRUCTIONS:\n1. Extract: Age, Gender, Employment, Email\n2. Analyze responses and identify 3-4 key insights\n3. Generate 3-4 specific recommendations\n4. Create compact HTML report with:\n - Professional header with gradient background\n - Recipient info section\n - Key Insights section with styled bullets\n - Recommendations section with styled bullets\n - Modern, clean design with good spacing\n - Professional color scheme\n - Footer with thank you message\n\nSTYLING REQUIREMENTS:\n- Use modern, professional colors (blues, grays)\n- Clear typography with good hierarchy\n- Proper spacing and padding\n- Rounded corners on sections\n- Subtle borders and shadows\n- Mobile-responsive design\n- Easy-to-scan format with visual hierarchy\n\nRETURN JSON ONLY:\n{\n \"email_subject\": \"string\",\n \"html_report\": \"string\"\n}",
"options": {
"systemMessage": "You are a concise survey analysis system that generates brief, point-by-point personalized reports.\n\nYour role:\n1. Extract key facts from survey responses\n2. Identify 3-4 main insights specific to the respondent\n3. Generate 3-4 actionable recommendations\n4. Create a compact HTML email report (minimal design, quick read)\n\nGuidelines:\n- Be concise and direct - no lengthy explanations\n- Use bullet points and short statements\n- Focus on: demographics, consumption habits, spending, health, brand preference\n- Generate specific recommendations based on their answers\n- Maintain professional tone\n- Ensure HTML is compact and email-friendly\n\nOutput ONLY valid JSON with no additional text."
},
"promptType": "define",
"hasOutputParser": true
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"typeVersion": 2.2
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{
"id": "dae0887f-fe3e-4967-a3fa-29878f03aa07",
"name": "Réponse Prête - Pause",
"type": "n8n-nodes-base.wait",
"position": [
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],
"webhookId": "YOUR_WEBHOOK_ID_RESPONSE_READY_-_PAUSE",
"parameters": {},
"typeVersion": 1.1
},
{
"id": "a0c4f4ff-a078-46d3-844e-30bd662a383f",
"name": "Gemini LLM (Personnel)",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
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"parameters": {
"options": {}
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"typeVersion": 1
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{
"id": "3c885d88-083c-4a60-8ef0-1b73af282d6e",
"name": "Analyser le Rapport Personnalisé JSON",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
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],
"parameters": {
"jsonSchemaExample": "{\n \"email_subject\": \"Your Fast Food Survey Analysis - Key Insights\",\n \"html_report\": \"[Complete personalized HTML report with inline CSS]\"\n}"
},
"typeVersion": 1.3
},
{
"id": "03432b73-c45f-4431-94e4-6c1b050f36fc",
"name": "Envoyer le Rapport Personnalisé",
"type": "n8n-nodes-base.gmail",
"position": [
8912,
5072
],
"webhookId": "YOUR_WEBHOOK_ID_SEND_PERSONAL_REPORT",
"parameters": {
"sendTo": "={{ $('Form Submission Trigger').item.json['Please indicate your email so that we can reach you about the results.'] }}",
"message": "={{ $json.output.html_report }}",
"options": {
"appendAttribution": false
},
"subject": "={{ $json.output.email_subject }}"
},
"typeVersion": 2.1
},
{
"id": "340a9911-23d4-4cd3-abc4-c4bfdf6a7f20",
"name": "Gemini LLM",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
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"parameters": {
"options": {}
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"typeVersion": 1
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{
"id": "a0b2076e-742b-4e9f-be8f-a8b144b7ff7b",
"name": "Planificateur de Rapport Hebdomadaire",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
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"parameters": {
"rule": {
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"field": "weeks",
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},
"typeVersion": 1.2
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{
"id": "88f3cdd7-57c0-41e4-b04a-8d9ed0a40c77",
"name": "Récupérer les Soumissions d'Enquête",
"type": "n8n-nodes-base.httpRequest",
"position": [
7920,
5680
],
"parameters": {
"url": "https://api.jotform.com/form/YOUR_JOTFORM_FORM_ID/submissions",
"options": {},
"sendQuery": true,
"queryParameters": {
"parameters": [
{
"name": "apiKey",
"value": "YOUR_JOTFORM_API_KEY"
}
]
}
},
"typeVersion": 4.2
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{
"id": "a03fc700-9c02-4bff-9e8a-1dc32d465acd",
"name": "Déballer les Objets de Réponse",
"type": "n8n-nodes-base.splitOut",
"position": [
8128,
5680
],
"parameters": {
"include": "selectedOtherFields",
"options": {},
"fieldToSplitOut": "content",
"fieldsToInclude": "content.id, content.answers"
},
"typeVersion": 1
},
{
"id": "e01bacda-db4d-42de-b069-e0f1757a7dd9",
"name": "Normaliser les Champs de Réponse",
"type": "n8n-nodes-base.set",
"position": [
8320,
5680
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
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"id": "f027e797-014e-47d9-ad55-0036bd06a453",
"name": "content.id",
"type": "string",
"value": "={{ $json.content.id }}"
},
{
"id": "43730158-8ed8-4abc-9a8a-cd62846a98bf",
"name": "",
"type": "string",
"value": ""
},
{
"id": "f5063b4f-ab7a-4007-9bb2-24fafbbdb78f",
"name": "content.answers",
"type": "object",
"value": "={{ $json.content.answers }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "d56e17da-0499-4361-884d-875ca9d2822e",
"name": "Extraire les Paires Question/Réponse",
"type": "n8n-nodes-base.code",
"position": [
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"parameters": {
"jsCode": "// Extract id, text, and answer from each submission\nconst results = [];\n\nfor (const item of $input.all()) {\n const submission = item.json.content;\n const id = submission.id;\n const answers = submission.answers;\n \n // Extract only questions with answers (exclude headers, buttons, and empty answers)\n const extractedAnswers = [];\n \n for (const key in answers) {\n const field = answers[key];\n \n // Only include if it has text and answer, and is not a control element\n if (field.text && field.answer && field.type !== 'control_head' && field.type !== 'control_button') {\n extractedAnswers.push({\n text: field.text,\n answer: field.answer\n });\n }\n }\n \n results.push({\n id: id,\n survey_responses: extractedAnswers\n });\n}\n\nreturn results;"
},
"typeVersion": 2
},
{
"id": "da49efb8-fbb7-4b0e-8d1f-359fa85601a4",
"name": "Fusionner Toutes les Réponses",
"type": "n8n-nodes-base.aggregate",
"position": [
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5680
],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData"
},
"typeVersion": 1
},
{
"id": "157b8677-aa4d-4068-80f8-e2389073984a",
"name": "Analyser et Rédiger le Rapport",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
8928,
5680
],
"parameters": {
"text": "=Generate an aggregate report from these survey submissions.\n\nSURVEY DATA:\n{{ $json.data.toJsonString() }}\n\nReturn ONLY valid JSON with these exact two fields:\n{\n \"email_subject\": \"Survey Aggregate Report - 4 Respondents - Fast Food Consumption Study\",\n \"html_report\": \"[Complete HTML with inline styles, professional design, all statistics, demographics, insights, and findings embedded in the HTML string]\"\n}\n\nDo not include any text, markdown, or explanations outside the JSON.",
"options": {
"systemMessage": "=You are a survey aggregation and statistical analysis system that generates professional HTML reports from multiple survey submissions.\n\nYour ONLY job is to return a JSON object with exactly two fields:\n1. email_subject: A string with the report title\n2. html_report: A string containing complete, valid HTML with inline CSS\n\nDo NOT include any text before or after the JSON. Do NOT include markdown backticks. Do NOT include explanations.\n\nProcess:\n- Count total respondents\n- Analyze each question's responses\n- Calculate percentages and frequencies\n- Identify demographic patterns\n- Generate 5-7 key insights\n- Create comprehensive HTML report with statistics\n\nReturn ONLY this JSON structure:\n{\n \"email_subject\": \"string\",\n \"html_report\": \"string\"\n}"
},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 2.2
},
{
"id": "999ae35e-9a91-4a69-af48-8a4b52390eb9",
"name": "Envoyer le Rapport à l'Administrateur",
"type": "n8n-nodes-base.gmail",
"position": [
9264,
5680
],
"webhookId": "YOUR_WEBHOOK_ID_SEND_REPORT_TO_ADMIN",
"parameters": {
"sendTo": "=YOUR_ADMIN_EMAIL@example.com",
"message": "={{ $json.output.html_report }}",
"options": {
"appendAttribution": false
},
"subject": "={{ $json.output.email_subject }}"
},
"typeVersion": 2.1
},
{
"id": "f38a7b8f-ed90-417c-9956-c67787ff3cc7",
"name": "Analyseur de Sortie Structurée",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
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],
"parameters": {
"jsonSchemaExample": "{\n \"email_subject\": \"Your Fast Food Survey Analysis - Key Insights\",\n \"html_report\": \"[Complete personalized HTML report with inline CSS]\"\n}"
},
"typeVersion": 1.3
},
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"id": "27544677-1438-444f-b90d-6b494daa02cd",
"name": "Note Autocollante",
"type": "n8n-nodes-base.stickyNote",
"position": [
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"parameters": {
"width": 2368,
"height": 1040,
"content": "# Automated Survey Reports via Jotform\n\n## What It Does\n\nThis workflow automatically processes Jotform survey responses and generates two types of reports:\n\n1. **Personal Reports** - Sent to each respondent immediately after they submit\n2. **Weekly Summaries** - Statistical overview sent to admin every week\n\n## [Get Jotform from here](https://www.jotform.com/?partner=roshanramanidev)\n---\n\n## How It Works\n\n### **When someone fills out the survey:**\n### → Personal report generated with their insights and recommendations\n### → HTML email sent to respondent (within seconds)\n\n### **Every week:**\n### → Collects all responses\n### → Analyzes trends and patterns\n### → Generates aggregate report with statistics\n### → Sends to admin email\n\n\n---\n\n## Quick Start\n\n1. Create your survey on [Jotform](https://www.jotform.com/?partner=roshanramanidev)\n2. Get your Jotform API key\n3. Setup Google Gemini API credentials\n4. Configure Gmail access\n5. Import workflow into n8n\n6. Test with sample response\n\n"
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}Comment utiliser ce workflow ?
Copiez le code de configuration JSON ci-dessus, créez un nouveau workflow dans votre instance n8n et sélectionnez "Importer depuis le JSON", collez la configuration et modifiez les paramètres d'authentification selon vos besoins.
Dans quelles scénarios ce workflow est-il adapté ?
Avancé
Est-ce payant ?
Ce workflow est entièrement gratuit et peut être utilisé directement. Veuillez noter que les services tiers utilisés dans le workflow (comme l'API OpenAI) peuvent nécessiter un paiement de votre part.
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@rawsun007I love building smart n8n automations that actually work reliably. My focus is on making everyday tasks like email, social media, and CRM workflows simpler using AI. I've shared templates in the n8n community, including a WhatsApp Expense Tracker that people really enjoy. What keeps me excited is constantly trying new things - testing fresh nodes, playing with AI tools like LangChain, and discovering creative ways to connect systems!
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