27 Analyser les lacunes du marché

Avancé

Ceci est unMarket Research, AI Summarizationworkflow d'automatisation du domainecontenant 16 nœuds.Utilise principalement des nœuds comme Set, Code, GoogleSheets, McpClientTool, Agent. Utiliser OpenAI et Bright Data pour générer des idées de produits SaaS à partir des lacunes du marché

Prérequis
  • Informations d'identification Google Sheets API
  • Clé API OpenAI
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": "vrH9xsqMNkN1dmSN",
  "meta": {
    "instanceId": "60046904b104f0f72b2629a9d88fe9f676be4035769f1f08dad1dd38a76b9480",
    "templateCredsSetupCompleted": true
  },
  "name": "27 Analyze Market Gaps",
  "tags": [],
  "nodes": [
    {
      "id": "149811e9-798b-413b-a159-5e07bb541fd0",
      "name": "Trigger : Exécuter la Vérification Hebdomadaire",
      "type": "n8n-nodes-base.scheduleTrigger",
      "position": [
        0,
        0
      ],
      "parameters": {
        "rule": {
          "interval": [
            {
              "field": "weeks",
              "triggerAtDay": [
                1
              ],
              "triggerAtHour": 9
            }
          ]
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "d175072a-abba-4e05-8262-0a7991d1fc66",
      "name": "Set : Sujet ou URL Cible",
      "type": "n8n-nodes-base.set",
      "position": [
        200,
        0
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "f4de0d45-1ec2-4582-afa8-0f10fea9dd57",
              "name": "url",
              "type": "string",
              "value": "https://medium.com/@moneytent/how-i-generate-100-saas-ideas-from-market-gap-to-product-market-fit-f05ee5d539ee"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "4a88bcd9-e0ab-4fe1-a84b-29e6276d9812",
      "name": "Agent IA : Analyser la Lacune du Marché",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        440,
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      ],
      "parameters": {
        "text": "=Screpe the url below and look market gaps to build a product on.\n\nURL: {{ $json.url }}",
        "options": {},
        "promptType": "define",
        "hasOutputParser": true
      },
      "typeVersion": 2
    },
    {
      "id": "589342ae-282d-47e9-9ec4-7df88812952e",
      "name": "Code : Diviser les Opportunités",
      "type": "n8n-nodes-base.code",
      "position": [
        880,
        0
      ],
      "parameters": {
        "jsCode": "// Sample input data from previous node\nconst items = $json[\"output\"][\"productOpportunities\"];\n\n// Emit each opportunity as a single item\nreturn items.map(opportunity => {\n  return {\n    json: {\n      name: opportunity.name,\n      description: opportunity.description\n    }\n  };\n});\n"
      },
      "typeVersion": 2
    },
    {
      "id": "3e349bd0-3e28-4a09-b1df-4bac44406ede",
      "name": "Google Sheets : Enregistrer les Idées SaaS",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        1080,
        0
      ],
      "parameters": {
        "columns": {
          "value": {
            "Name": "={{ $json.name }}",
            "Description": "={{ $json.description }}"
          },
          "schema": [
            {
              "id": "Name",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Name",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Description",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Description",
              "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/1I2tG3DCCcMyoKtMIW6ALkp9KAgyndiik0YfWRaSWb2w/edit#gid=0",
          "cachedResultName": "Sheet1"
        },
        "documentId": {
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          "mode": "list",
          "value": "1I2tG3DCCcMyoKtMIW6ALkp9KAgyndiik0YfWRaSWb2w",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1I2tG3DCCcMyoKtMIW6ALkp9KAgyndiik0YfWRaSWb2w/edit?usp=drivesdk",
          "cachedResultName": "Market Gaps"
        }
      },
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "r2mDaisH6e9VkwHl",
          "name": "Google Sheets account"
        }
      },
      "typeVersion": 4.6
    },
    {
      "id": "bfb80b71-c78b-46f5-a5a2-24911e747519",
      "name": "LLM : Générateur d'Insights",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
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      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "8sEyPDkC5p4w4Jha",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "630647dc-c0de-4165-a776-603de4c2aee3",
      "name": "Bright Data : Agent de Scraping",
      "type": "n8n-nodes-mcp.mcpClientTool",
      "position": [
        560,
        280
      ],
      "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"
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      },
      "typeVersion": 1
    },
    {
      "id": "5aac989c-f503-4e72-b2da-a3db5e9be6a0",
      "name": "Note Adhésive",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -20,
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      "parameters": {
        "color": 6,
        "width": 360,
        "height": 860,
        "content": "## 🟩 **SECTION 1: Define What to Analyze**\n\n### 🔁 Nodes: `Schedule Trigger` + `Edit Fields`\n\n| 🔧 Node              | Name                          | Purpose                                                                                                                      |\n| -------------------- | ----------------------------- | ---------------------------------------------------------------------------------------------------------------------------- |\n| ⏰ `Schedule Trigger` | **Trigger: Run Weekly Check** | Starts this automation on a schedule (e.g., every Monday at 9 AM).                                                           |\n| 📝 `Edit Fields`     | **Set: Target Topic or URL**  | Manually input the industry, keyword, or trend you want to explore (like *\"AI in Healthcare\"* or *\"Sustainable Packaging\"*). |\n\n### 🧠 Beginner Tip:\n\n> This section is where **you control the topic**. You don’t need to write code — just input a keyword, and the system will go fetch all the useful insights for you later.\n\n---\n\n"
      },
      "typeVersion": 1
    },
    {
      "id": "8a861a96-f34b-4e40-8804-04477a94f858",
      "name": "Note Adhésive1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        420,
        -1120
      ],
      "parameters": {
        "color": 3,
        "width": 300,
        "height": 1300,
        "content": "## 🟦 **SECTION 2: Discover Market Gaps with AI Agent**\n\n### 🧠 Node: `AI Agent`\n\nSub-nodes: `OpenAI Chat Model`, `MCP Client (Bright Data)`, `Structured Output Parser`\n\n| 🤖 Node                       | Name                             | Purpose                                                                                              |\n| ----------------------------- | -------------------------------- | ---------------------------------------------------------------------------------------------------- |\n| 🧠 `AI Agent`                 | **AI Agent: Analyze Market Gap** | Main node that coordinates the scraping and insight generation.                                      |\n| 🌐 `MCP Client`               | **Bright Data: Scraper Agent**   | Scrapes websites like Statista, Reddit, G2, etc., to find pain points, trends, and missing products. |\n| 🧠 `OpenAI Chat Model`        | **LLM: Insight Generator**       | Summarizes scraped data and identifies potential product opportunities using GPT.                    |\n| 🧾 `Structured Output Parser` | **Parser: JSON Output Builder**  | Converts messy AI output into clean, structured JSON (with product names and descriptions).          |\n\n### 🧠 Beginner Tip:\n\n> This is the **brain** of the workflow. It does the heavy lifting — finding real problems from real users, and then generating SaaS product ideas you can build. You don’t need to write the ideas — the AI will suggest them based on actual market gaps.\n\n---\n\n"
      },
      "typeVersion": 1
    },
    {
      "id": "54b0dda6-7e85-4476-98d7-e9da30ee98b3",
      "name": "Note Adhésive2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        840,
        -620
      ],
      "parameters": {
        "color": 5,
        "width": 400,
        "height": 800,
        "content": "## 🟨 **SECTION 3: Break Into Pieces & Save to Google Sheets**\n\n### 🔧 Nodes: `Code` + `Google Sheets`\n\n| ⚙️ Node            | Name                              | Purpose                                                                                                        |\n| ------------------ | --------------------------------- | -------------------------------------------------------------------------------------------------------------- |\n| 🧩 `Code`          | **Code: Split Opportunities**     | Takes the structured list of SaaS ideas and splits it into individual items (so they can be saved one by one). |\n| 📄 `Google Sheets` | **Google Sheets: Log SaaS Ideas** | Automatically saves each product idea (name + description) into your connected spreadsheet.                    |\n\n### 🧠 Beginner Tip:\n\n> This is where all your hard work **gets stored**. Every week, your sheet grows with new SaaS ideas automatically — perfect for product research, newsletters, or startup launches.\n\n---\n\n"
      },
      "typeVersion": 1
    },
    {
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      "name": "Note Adhésive5",
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      "position": [
        1320,
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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
    },
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      "parameters": {
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        "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"
      },
      "typeVersion": 1
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    {
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      "parameters": {
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        "content": "## 🌟 **Workflow: Market Gaps → SaaS Product Ideas → Google Sheet**\n\nThis n8n automation scrapes industry insights and converts them into real SaaS product ideas using AI — and then logs them in Google Sheets. It's fully automated, smart, and scalable.\n\n---\n\n## 🟩 **SECTION 1: Define What to Analyze**\n\n### 🔁 Nodes: `Schedule Trigger` + `Edit Fields`\n\n| 🔧 Node              | Name                          | Purpose                                                                                                                      |\n| -------------------- | ----------------------------- | ---------------------------------------------------------------------------------------------------------------------------- |\n| ⏰ `Schedule Trigger` | **Trigger: Run Weekly Check** | Starts this automation on a schedule (e.g., every Monday at 9 AM).                                                           |\n| 📝 `Edit Fields`     | **Set: Target Topic or URL**  | Manually input the industry, keyword, or trend you want to explore (like *\"AI in Healthcare\"* or *\"Sustainable Packaging\"*). |\n\n### 🧠 Beginner Tip:\n\n> This section is where **you control the topic**. You don’t need to write code — just input a keyword, and the system will go fetch all the useful insights for you later.\n\n---\n\n## 🟦 **SECTION 2: Discover Market Gaps with AI Agent**\n\n### 🧠 Node: `AI Agent`\n\nSub-nodes: `OpenAI Chat Model`, `MCP Client (Bright Data)`, `Structured Output Parser`\n\n| 🤖 Node                       | Name                             | Purpose                                                                                              |\n| ----------------------------- | -------------------------------- | ---------------------------------------------------------------------------------------------------- |\n| 🧠 `AI Agent`                 | **AI Agent: Analyze Market Gap** | Main node that coordinates the scraping and insight generation.                                      |\n| 🌐 `MCP Client`               | **Bright Data: Scraper Agent**   | Scrapes websites like Statista, Reddit, G2, etc., to find pain points, trends, and missing products. |\n| 🧠 `OpenAI Chat Model`        | **LLM: Insight Generator**       | Summarizes scraped data and identifies potential product opportunities using GPT.                    |\n| 🧾 `Structured Output Parser` | **Parser: JSON Output Builder**  | Converts messy AI output into clean, structured JSON (with product names and descriptions).          |\n\n### 🧠 Beginner Tip:\n\n> This is the **brain** of the workflow. It does the heavy lifting — finding real problems from real users, and then generating SaaS product ideas you can build. You don’t need to write the ideas — the AI will suggest them based on actual market gaps.\n\n---\n\n## 🟨 **SECTION 3: Break Into Pieces & Save to Google Sheets**\n\n### 🔧 Nodes: `Code` + `Google Sheets`\n\n| ⚙️ Node            | Name                              | Purpose                                                                                                        |\n| ------------------ | --------------------------------- | -------------------------------------------------------------------------------------------------------------- |\n| 🧩 `Code`          | **Code: Split Opportunities**     | Takes the structured list of SaaS ideas and splits it into individual items (so they can be saved one by one). |\n| 📄 `Google Sheets` | **Google Sheets: Log SaaS Ideas** | Automatically saves each product idea (name + description) into your connected spreadsheet.                    |\n\n### 🧠 Beginner Tip:\n\n> This is where all your hard work **gets stored**. Every week, your sheet grows with new SaaS ideas automatically — perfect for product research, newsletters, or startup launches.\n\n---\n\n## ✅ **End Result**\n\nAt the end of the workflow:\n\n* You get a list of *validated SaaS product ideas*.\n* Based on real-world gaps found in forums, review sites, and industry reports.\n* Neatly logged into Google Sheets without touching code.\n\n---\n\n### 💡 Bonus Ideas to Extend This:\n\n* 📧 **Send a weekly summary email** using the Email node.\n* 🔔 **Post ideas to Telegram or Slack** automatically.\n* 🧠 **Send ideas to Airtable or Notion** for team-wide collaboration.\n\n---\n\n"
      },
      "typeVersion": 1
    },
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      "name": "Analyseur de Sortie Auto-corrigeant",
      "type": "@n8n/n8n-nodes-langchain.outputParserAutofixing",
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      ],
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      },
      "credentials": {
        "openAiApi": {
          "id": "8sEyPDkC5p4w4Jha",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "cf5d6b3f-afeb-4eb4-b8a0-4b171c41418c",
      "name": "Analyseur de Sortie Structurée",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
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      "parameters": {
        "jsonSchemaExample": "{\n  \"productOpportunities\": [\n    {\n      \"name\": \"User Feedback Aggregation Tool\",\n      \"description\": \"Aggregates reviews from multiple platforms and provides actionable insights for startups.\"\n    },\n    {\n      \"name\": \"Community-Driven Ideation Platform\",\n      \"description\": \"A space for users to submit ideas and feature requests, forming a feedback loop for product teams.\"\n    },\n    {\n      \"name\": \"AI-Powered Market Research Tool\",\n      \"description\": \"Synthesizes forum posts, reviews, and social media feedback to identify emerging SaaS opportunities.\"\n    },\n    {\n      \"name\": \"SaaS Idea Validation Service\",\n      \"description\": \"Offers surveys and expert guidance to help entrepreneurs validate SaaS concepts before development.\"\n    },\n    {\n      \"name\": \"SaaS Development Accelerator\",\n      \"description\": \"An incubator offering mentorship, tools, and funding to help build and scale multiple SaaS projects.\"\n    },\n    {\n      \"name\": \"SaaS Maintenance and Refinement Tool\",\n      \"description\": \"Continuously analyzes live user feedback to help existing SaaS products evolve and remain competitive.\"\n    }\n  ]\n}"
      },
      "typeVersion": 1.2
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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 ?

Avancé - 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.

Informations sur le workflow
Niveau de difficulté
Avancé
Nombre de nœuds16
Catégorie2
Types de nœuds10
Description de la difficulté

Adapté aux utilisateurs avancés, avec des workflows complexes contenant 16+ nœuds

Auteur
Yaron Been

Yaron Been

@yaron-nofluff

Building 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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Catégories

Catégories: 34