27 Analizar vacíos en el mercado

Avanzado

Este es unMarket Research, AI Summarizationflujo de automatización del dominio deautomatización que contiene 16 nodos.Utiliza principalmente nodos como Set, Code, GoogleSheets, McpClientTool, Agent. Usar OpenAI y Bright Data para generar ideas de productos SaaS a partir de oportunidades de mercado

Requisitos previos
  • Credenciales de API de Google Sheets
  • Clave de API de OpenAI
Vista previa del flujo de trabajo
Visualización de las conexiones entre nodos, con soporte para zoom y panorámica
Exportar flujo de trabajo
Copie la siguiente configuración JSON en n8n para importar y usar este flujo de trabajo
{
  "id": "vrH9xsqMNkN1dmSN",
  "meta": {
    "instanceId": "60046904b104f0f72b2629a9d88fe9f676be4035769f1f08dad1dd38a76b9480",
    "templateCredsSetupCompleted": true
  },
  "name": "27 Analyze Market Gaps",
  "tags": [],
  "nodes": [
    {
      "id": "149811e9-798b-413b-a159-5e07bb541fd0",
      "name": "Trigger: Ejecutar Verificación Semanal",
      "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: Tema o URL Objetivo",
      "type": "n8n-nodes-base.set",
      "position": [
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      ],
      "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": "AI Agent: Analizar Brecha de Mercado",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        440,
        0
      ],
      "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: Dividir Oportunidades",
      "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: Registrar Ideas 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
    },
    {
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      "name": "LLM: Generador de Insights",
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      "position": [
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      "parameters": {
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          "value": "gpt-4o-mini"
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        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "8sEyPDkC5p4w4Jha",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "630647dc-c0de-4165-a776-603de4c2aee3",
      "name": "Bright Data: Agente de Scraping",
      "type": "n8n-nodes-mcp.mcpClientTool",
      "position": [
        560,
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      "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": "5aac989c-f503-4e72-b2da-a3db5e9be6a0",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -20,
        -680
      ],
      "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": "Sticky Note1",
      "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": "Sticky Note2",
      "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
    },
    {
      "id": "8c7e64de-a10b-4b9e-b3fa-fa48201322d2",
      "name": "Sticky Note5",
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      "position": [
        1320,
        -620
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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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        "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
    },
    {
      "id": "685fe958-0080-4d51-84bf-7679e6b85925",
      "name": "Sticky Note4",
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      "position": [
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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"
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      ],
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      },
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          "id": "8sEyPDkC5p4w4Jha",
          "name": "OpenAi account"
        }
      },
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    },
    {
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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}"
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Preguntas frecuentes

¿Cómo usar este flujo de trabajo?

Copie el código de configuración JSON de arriba, cree un nuevo flujo de trabajo en su instancia de n8n y seleccione "Importar desde JSON", pegue la configuración y luego modifique la configuración de credenciales según sea necesario.

¿En qué escenarios es adecuado este flujo de trabajo?

Avanzado - Investigación de mercado, Resumen de IA

¿Es de pago?

Este flujo de trabajo es completamente gratuito, puede importarlo y usarlo directamente. Sin embargo, tenga en cuenta que los servicios de terceros utilizados en el flujo de trabajo (como la API de OpenAI) pueden requerir un pago por su cuenta.

Información del flujo de trabajo
Nivel de dificultad
Avanzado
Número de nodos16
Categoría2
Tipos de nodos10
Descripción de la dificultad

Adecuado para usuarios avanzados, flujos de trabajo complejos con 16+ nodos

Autor
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

Enlaces externos
Ver en n8n.io

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Categorías

Categorías: 34