Smart Website Funnel Analyzer
Intermédiaire
Ceci est unMarket Research, AI Summarizationworkflow d'automatisation du domainecontenant 15 nœuds.Utilise principalement des nœuds comme Set, GoogleSheets, McpClientTool, Agent, ScheduleTrigger. Utiliser GPT-4o, Bright Data et Google Sheets pour analyser l'entonnoir de conversion d'un site web
Prérequis
- •Informations d'identification Google Sheets API
- •Clé API OpenAI
Nœuds utilisés (15)
Catégorie
Aperçu du workflow
Visualisation des connexions entre les nœuds, avec support du zoom et du déplacement
Exporter le workflow
Copiez la configuration JSON suivante dans n8n pour importer et utiliser ce workflow
{
"id": "4A25nv05Jho7qvlD",
"meta": {
"instanceId": "60046904b104f0f72b2629a9d88fe9f676be4035769f1f08dad1dd38a76b9480",
"templateCredsSetupCompleted": true
},
"name": "12 Smart Website Funnel Analyzer",
"tags": [],
"nodes": [
{
"id": "033bde69-15e0-4518-83fb-2fa0c434e3c1",
"name": "⏰ Déclencheur : Exécution Planifiée",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
-60,
0
],
"parameters": {
"rule": {
"interval": [
{
"triggerAtHour": 9
}
]
}
},
"typeVersion": 1.2
},
{
"id": "f8f66218-4f7d-4fdf-9d43-1217923f8d69",
"name": "🛠️ Définir l'URL Cible et le Contexte",
"type": "n8n-nodes-base.set",
"position": [
160,
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],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "c0317fd3-7765-4e9d-9d10-a30184a89543",
"name": "url",
"type": "string",
"value": "https://www.shopify.com"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "5aebc5c5-adf8-4bfe-9dcf-4d9dad58620d",
"name": "🤖 Agent IA : Extraire l'URL avec MCP",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
440,
0
],
"parameters": {
"text": "=Visit the given URL and extract the following information:\n\n{{ $json.url }}\n\n1. **Page Metadata**\n - Page Title\n - Meta Description\n - Canonical URL\n\n2. **Tracking/Analytics Scripts**\n - List all script `src` that match known analytics vendors (e.g. `google-analytics.com`, `gtag`, `mixpanel`, `plausible.io`, `segment.io`, `hotjar.com`, etc.)\n\n3. **CTA Buttons and Links**\n - Extract all visible `<a>` and `<button>` elements with:\n - Inner text\n - href or onclick\n - Position in viewport (if possible)\n - Filter for CTA indicators: buttons/links with text like \"Start Free Trial\", \"Sign Up\", \"Get Started\", \"Learn More\", \"Try Now\", etc.\n\n4. **Analytics Objects**\n - Try to extract any JavaScript variables that might contain tracking data:\n - `window.dataLayer`\n - `window.analytics`\n - Any `JSON.parse(...)` content embedded in `<script>` tags\n\n5. **Page Structure Overview**\n - Count and summarize the number of:\n - Headings (`h1`, `h2`, `h3`)\n - Sections (`<section>` tags)\n - Images and media elements\n\n6. **Funnel Insight Tags (Optional for Later Use)**\n - Detect if this page likely fits a funnel stage:\n - Awareness (homepage, product overview)\n - Consideration (product detail, features)\n - Conversion (CTA, checkout, pricing)\n\nEnsure that JavaScript is rendered fully and wait for the page to become idle before extracting data. Use a mobile user-agent and viewport to simulate mobile browsing behavior accurately.\n\nReturn all data in structured JSON.\n",
"options": {},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 2
},
{
"id": "19c9f2ea-1faf-42c5-aa6b-cc03f200d706",
"name": "🧠 Modèle LLM (Cerveau d'Instruction)",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
400,
260
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "8sEyPDkC5p4w4Jha",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "4458687e-613a-4a41-823d-8f7ec7e374e8",
"name": "📡 Client MCP Bright Data",
"type": "n8n-nodes-mcp.mcpClientTool",
"position": [
580,
260
],
"parameters": {
"toolName": "scrape_as_markdown",
"operation": "executeTool",
"toolParameters": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Tool_Parameters', ``, 'json') }}"
},
"credentials": {
"mcpClientApi": {
"id": "eqq94k789oJCd6jU",
"name": "MCP Client (STDIO) account"
}
},
"typeVersion": 1
},
{
"id": "92c907a5-9ecd-4299-869e-dbcf8037fb3e",
"name": "📊 Enregistrer les Résultats vers Google Sheets",
"type": "n8n-nodes-base.googleSheets",
"position": [
980,
0
],
"parameters": {
"columns": {
"value": {
"images": "={{ $json.output.page_structure_overview.images }}",
"headings": "={{ $json.output.page_structure_overview.headings }}",
"sections": "={{ $json.output.page_structure_overview.sections }}",
"analytics": "={{ $json.output.analytics_objects.analytics }}",
"data layer": "={{ $json.output.analytics_objects.dataLayer }}",
"page title": "={{ $json.output.page_metadata.page_title }}",
"funnel stage": "={{ $json.output.funnel_stage }}",
"canonical url": "={{ $json.output.page_metadata.canonical_url }}",
"cta button links": "={{ $json.output.cta_buttons_links }}",
"meta description": "={{ $json.output.page_metadata.meta_description }}",
"json parsed content": "={{ $json.output.analytics_objects.json_parsed_content }}"
},
"schema": [
{
"id": "page title",
"type": "string",
"display": true,
"required": false,
"displayName": "page title",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "meta description",
"type": "string",
"display": true,
"required": false,
"displayName": "meta description",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "canonical url",
"type": "string",
"display": true,
"required": false,
"displayName": "canonical url",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "cta button links",
"type": "string",
"display": true,
"required": false,
"displayName": "cta button links",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "data layer",
"type": "string",
"display": true,
"required": false,
"displayName": "data layer",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "analytics",
"type": "string",
"display": true,
"required": false,
"displayName": "analytics",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "json parsed content",
"type": "string",
"display": true,
"required": false,
"displayName": "json parsed content",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "headings",
"type": "string",
"display": true,
"required": false,
"displayName": "headings",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "sections",
"type": "string",
"display": true,
"required": false,
"displayName": "sections",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "images",
"type": "string",
"display": true,
"required": false,
"displayName": "images",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "funnel stage",
"type": "string",
"display": true,
"required": false,
"displayName": "funnel stage",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1JbTZgfXxSddks7Sx2YVW_uf-CDC6vBQ9s0nidzzxEKs/edit#gid=0",
"cachedResultName": "Sheet1"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1JbTZgfXxSddks7Sx2YVW_uf-CDC6vBQ9s0nidzzxEKs",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1JbTZgfXxSddks7Sx2YVW_uf-CDC6vBQ9s0nidzzxEKs/edit?usp=drivesdk",
"cachedResultName": "Website analytics"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "r2mDaisH6e9VkwHl",
"name": "Google Sheets account"
}
},
"typeVersion": 4.6
},
{
"id": "72c17e6e-c2f0-447e-b15c-3d974c75af85",
"name": "Note Adhésive",
"type": "n8n-nodes-base.stickyNote",
"position": [
-80,
-900
],
"parameters": {
"color": 6,
"width": 380,
"height": 1080,
"content": "## 🔶 **SECTION 1: Start & Define Target**\n\n### 🔹 Nodes:\n\n* `⏰ Trigger: Run on Schedule`\n* `🛠️ Define Target URL & Context`\n\n---\n\n### 🧩 What This Section Does:\n\n1. **⏰ Trigger: Run on Schedule**\n\n * This node automatically **starts the workflow at scheduled intervals** (e.g., hourly, daily).\n * You don’t need to press a button every time. Just set it once, and it runs like a robot clock.\n\n2. **🛠️ Define Target URL & Context**\n\n * Here, you **input the Shopify URL** you want to scrape.\n * You can also define **tags** like `page_type: homepage`, `funnel_stage: awareness`, etc., to help analyze which stage of the sales funnel each page belongs to.\n\n---\n\n### 💡 Beginner Benefit:\n\n> This section allows you to automate the scraping of a specific page (like the Shopify homepage) and clearly tag what you're trying to analyze — all **without coding**!\n\n---\n\n"
},
"typeVersion": 1
},
{
"id": "307d8a0d-260d-433d-ae61-097992f35efe",
"name": "Note Adhésive1",
"type": "n8n-nodes-base.stickyNote",
"position": [
400,
-1340
],
"parameters": {
"color": 5,
"width": 340,
"height": 1520,
"content": "## 🤖 **SECTION 2: AI-Powered Scraping via Bright Data MCP**\n\n### 🔹 Nodes:\n\n* `🤖 AI Agent: Scrape Shopify with MCP`\n\n * 🧠 `LLM Model (Instruction Brain)`\n * 📡 `Bright Data MCP Client`\n * 🧾 `Output Parser: Clean Extracted Data`\n\n---\n\n### 🧩 What This Section Does:\n\n1. **🤖 AI Agent: Scrape Shopify with MCP**\n\n * This is the **smart engine** that handles all scraping tasks.\n\n2. **🧠 LLM Model (Instruction Brain)**\n\n * It tells the AI agent **what to look for**, like:\n\n * Page title, CTAs, Google Analytics scripts, section counts, etc.\n * Think of it as the “brain” of the operation.\n\n3. **📡 Bright Data MCP Client**\n\n * This node actually **loads the website like a real phone user** (mobile browser), thanks to **Bright Data's Mobile Carrier Proxy**.\n * It **bypasses blocks**, loads dynamic content, and mimics real behavior.\n\n4. **🧾 Output Parser: Clean Extracted Data**\n\n * After scraping, this node **cleans and formats the results** into a neat JSON structure.\n * It ensures that things like headings, links, CTA buttons, and analytics scripts are easy to read and store.\n\n---\n\n### 💡 Beginner Benefit:\n\n> You don't have to know how scraping or proxies work. This AI Agent + Bright Data combo does the heavy lifting: it visits the page, reads everything like a human user, and extracts key insights in a structured format. 💪\n\n---\n\n"
},
"typeVersion": 1
},
{
"id": "b4af3b43-0daf-40be-96ab-c8f706414e14",
"name": "Note Adhésive2",
"type": "n8n-nodes-base.stickyNote",
"position": [
880,
-600
],
"parameters": {
"color": 3,
"width": 300,
"height": 780,
"content": "## ✅ **SECTION 3: Save Insights for Reporting**\n\n### 🔹 Node:\n\n* `📊 Save Results to Google Sheets`\n\n---\n\n### 🧩 What This Section Does:\n\n* This node **automatically logs all the structured results** (like title, CTAs, funnel stage, analytics scripts, etc.) into a connected Google Sheet.\n* Over time, this sheet becomes a **powerful conversion funnel tracker**, helping you identify:\n\n * Drop-off points\n * CTA effectiveness\n * Page structure evolution\n\n---\n\n"
},
"typeVersion": 1
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"name": "Note Adhésive9",
"type": "n8n-nodes-base.stickyNote",
"position": [
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"parameters": {
"color": 4,
"width": 1300,
"height": 320,
"content": "=======================================\n WORKFLOW ASSISTANCE\n=======================================\nFor any questions or support, please contact:\n Yaron@nofluff.online\n\nExplore more tips and tutorials here:\n - YouTube: https://www.youtube.com/@YaronBeen/videos\n - LinkedIn: https://www.linkedin.com/in/yaronbeen/\n=======================================\n"
},
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{
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"type": "n8n-nodes-base.stickyNote",
"position": [
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"parameters": {
"color": 4,
"width": 1289,
"height": 2778,
"content": "# 📊 **Workflow Title:**\n\n**Smart Website Funnel Analyzer: Scrape Shopify with Bright Data and Log Insights to Google Sheets**\n\n---\n\n## 🔶 **SECTION 1: Start & Define Target**\n\n### 🔹 Nodes:\n\n* `⏰ Trigger: Run on Schedule`\n* `🛠️ Define Target URL & Context`\n\n---\n\n### 🧩 What This Section Does:\n\n1. **⏰ Trigger: Run on Schedule**\n\n * This node automatically **starts the workflow at scheduled intervals** (e.g., hourly, daily).\n * You don’t need to press a button every time. Just set it once, and it runs like a robot clock.\n\n2. **🛠️ Define Target URL & Context**\n\n * Here, you **input the Shopify URL** you want to scrape.\n * You can also define **tags** like `page_type: homepage`, `funnel_stage: awareness`, etc., to help analyze which stage of the sales funnel each page belongs to.\n\n---\n\n### 💡 Beginner Benefit:\n\n> This section allows you to automate the scraping of a specific page (like the Shopify homepage) and clearly tag what you're trying to analyze — all **without coding**!\n\n---\n\n## 🤖 **SECTION 2: AI-Powered Scraping via Bright Data MCP**\n\n### 🔹 Nodes:\n\n* `🤖 AI Agent: Scrape Shopify with MCP`\n\n * 🧠 `LLM Model (Instruction Brain)`\n * 📡 `Bright Data MCP Client`\n * 🧾 `Output Parser: Clean Extracted Data`\n\n---\n\n### 🧩 What This Section Does:\n\n1. **🤖 AI Agent: Scrape Shopify with MCP**\n\n * This is the **smart engine** that handles all scraping tasks.\n\n2. **🧠 LLM Model (Instruction Brain)**\n\n * It tells the AI agent **what to look for**, like:\n\n * Page title, CTAs, Google Analytics scripts, section counts, etc.\n * Think of it as the “brain” of the operation.\n\n3. **📡 Bright Data MCP Client**\n\n * This node actually **loads the website like a real phone user** (mobile browser), thanks to **Bright Data's Mobile Carrier Proxy**.\n * It **bypasses blocks**, loads dynamic content, and mimics real behavior.\n\n4. **🧾 Output Parser: Clean Extracted Data**\n\n * After scraping, this node **cleans and formats the results** into a neat JSON structure.\n * It ensures that things like headings, links, CTA buttons, and analytics scripts are easy to read and store.\n\n---\n\n### 💡 Beginner Benefit:\n\n> You don't have to know how scraping or proxies work. This AI Agent + Bright Data combo does the heavy lifting: it visits the page, reads everything like a human user, and extracts key insights in a structured format. 💪\n\n---\n\n## ✅ **SECTION 3: Save Insights for Reporting**\n\n### 🔹 Node:\n\n* `📊 Save Results to Google Sheets`\n\n---\n\n### 🧩 What This Section Does:\n\n* This node **automatically logs all the structured results** (like title, CTAs, funnel stage, analytics scripts, etc.) into a connected Google Sheet.\n* Over time, this sheet becomes a **powerful conversion funnel tracker**, helping you identify:\n\n * Drop-off points\n * CTA effectiveness\n * Page structure evolution\n\n---\n\n### 💡 Beginner Benefit:\n\n> No coding. No manual copy-paste. The moment a page is analyzed, the key insights are saved into your Google Sheet — ready for reporting or optimization.\n\n---\n\n## 🎁 **Final Thoughts: Why This Workflow Is Powerful**\n\n* 📱 Uses mobile proxy scraping (MCP) for full access to dynamic web pages\n* 🤖 AI handles complex instructions and parsing\n* 📊 Google Sheets gives you instant reporting and tracking\n\n---\n\n"
},
"typeVersion": 1
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"name": "Note Adhésive5",
"type": "n8n-nodes-base.stickyNote",
"position": [
1280,
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"parameters": {
"color": 7,
"width": 380,
"height": 240,
"content": "## I’ll receive a tiny commission if you join Bright Data through this link—thanks for fueling more free content!\n\n### https://get.brightdata.com/1tndi4600b25"
},
"typeVersion": 1
},
{
"id": "7c9b3666-f32f-49ab-be38-36b3f31a8ca0",
"name": "Analyseur de Sortie Auto-Correctif",
"type": "@n8n/n8n-nodes-langchain.outputParserAutofixing",
"position": [
720,
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"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "dae3494e-25b5-4394-a9ac-d4bfcf0621a2",
"name": "OpenAI Modèle de Chat",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
680,
520
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "8sEyPDkC5p4w4Jha",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
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{
"id": "1ab9f312-a515-4b02-9e7f-f49e0f4c6515",
"name": "Analyseur de Sortie Structurée",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
860,
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"parameters": {
"jsonSchemaExample": "{\n \"page_metadata\": {\n \"page_title\": \"Shopify – Start your free trial today\",\n \"meta_description\": \"Start selling online today with Shopify. The easiest way to start an online store.\",\n \"canonical_url\": \"https://www.shopify.com\"\n },\n \"tracking_analytics_scripts\": [\n \"https://www.googletagmanager.com/\",\n \"https://www.google-analytics.com/\"\n ],\n \"cta_buttons_links\": [\n {\n \"inner_text\": \"Start for free\",\n \"href\": \"https://accounts.shopify.com/store-create?locale=en&language=en&signup%5Fpage=https%3A%2F%2Fwww.shopify.com%2F&signup%5Ftypes%5B%5D=paid%5Ftrial%5Fexperience\",\n \"position_in_viewport\": null\n },\n {\n \"inner_text\": \"Start for free\",\n \"href\": \"https://accounts.shopify.com/store-create?locale=en&language=en&signup%5Fpage=https%3A%2F%2Fwww.shopify.com%2F&signup%5Ftypes%5B%5D=paid%5Ftrial%5Fexperience\",\n \"position_in_viewport\": null\n },\n {\n \"inner_text\": \"Get started\",\n \"href\": \"/online\",\n \"position_in_viewport\": null\n }\n ],\n \"analytics_objects\": {\n \"dataLayer\": null,\n \"analytics\": null,\n \"json_parsed_content\": null\n },\n \"page_structure_overview\": {\n \"headings\": {\n \"h1\": 1,\n \"h2\": 10,\n \"h3\": 4\n },\n \"sections\": 15,\n \"images\": 20\n },\n \"funnel_stage\": \"Awareness\"\n}\n"
},
"typeVersion": 1.2
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "fd1b5014-94c4-4a9f-848b-d42272c68d4a",
"connections": {
"dae3494e-25b5-4394-a9ac-d4bfcf0621a2": {
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"ai_outputParser": [
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}Foire aux questions
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 ?
Intermédiaire - Étude de marché, Résumé IA
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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Étude de marché
27 Analyser les lacunes du marché
Utiliser OpenAI et Bright Data pour générer des idées de produits SaaS à partir des lacunes du marché
Set
Code
Google Sheets
+
Set
Code
Google Sheets
16 NœudsYaron Been
Étude de marché
Surveiller les sorties de produits concurrents
Surveillance instantanée des lancements de produits concurrents basée sur Bright Data et OpenAI, avec envoi par e-mail/vers des feuilles de calcul
Set
Code
Gmail
+
Set
Code
Gmail
18 NœudsYaron Been
Étude de marché
23 Analyse de la valeur vie client
Analyser et cibler les clients à forte valeur avec GPT-4, Bright Data MCP et Bright Data
If
Set
Code
+
If
Set
Code
20 NœudsYaron Been
Étude de marché
Surveillance des événements locaux
Surveillance automatique d'événements locaux avec Bright Data MCP et OpenAI Analysis
Set
Code
Google Sheets
+
Set
Code
Google Sheets
18 NœudsYaron Been
Étude de marché
Informations sur le workflow
Niveau de difficulté
Intermédiaire
Nombre de nœuds15
Catégorie2
Types de nœuds9
Description de la difficulté
Auteur
Yaron Been
@yaron-nofluffBuilding AI Agents and Automations | Growth Marketer | Entrepreneur | Book Author & Podcast Host If you need any help with Automations, feel free to reach out via linkedin: https://www.linkedin.com/in/yaronbeen/ And check out my Youtube channel: https://www.youtube.com/@YaronBeen/videos
Liens externes
Voir sur n8n.io →
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