Monitoreo de eventos locales

• •Credenciales de API de Google Sheets
• •Clave de API de OpenAI

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  "name": "29  Monitor Local Events",
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        "text": "=You are a data extraction agent.\n\nScrape the following 10Times URL for events in newYork od US :\n{{ $json.URL }}\n\nExtract data for the events listed on this page. For each event, provide the following details :\n\n- `event_name`: The name of the event.\n- `location`: The location of the event (venue name and address, if available).\n- `date`: The event date and time.\n- `category`: The event's category (e.g., Networking, Tech, Sports, etc.).\n- `description`: A brief description of the event.\n- `url`: The URL to the event page.\n- `attendees`: The number of attendees (if available, otherwise dont return ).\n\n\n",
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      "name": "🔀 Dividir Eventos en Elementos Separados",
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        "jsCode": "// Access the scraped event data (from the AI Agent output)\nconst events = items[0].json.output; \n\n// Map through each event and return individual items\nreturn events.map(event => {\n  return {\n    json: event\n  };\n});\n"
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      "typeVersion": 2
    },
    {
      "id": "6bfb0096-6b80-4f2c-a11c-a1c020ccc88b",
      "name": "💬 IA: Analizar Eventos para Oportunidades de Patrocinio",
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        "options": {},
        "messages": {
          "values": [
            {
              "content": "=we have our own company related to tech and we launch a product about project management. following are some events and i want you to analyze them and then find the sponsership opportunities and rate it out of 10.\nThe event is given below:\n\nevent_name: {{ $json.event_name }}\nlocation: {{ $json.location }}\ndata: {{ $json.date }}\ncategory: {{ $json.category }}\ndescription: {{ $json.description }}\nurl: {{ $json.url }}\nattendees: {{ $json.attendees }}"
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      "name": "📥 Guardar Eventos y Valoraciones de Patrocinio en Google Sheets",
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      "parameters": {
        "columns": {
          "value": {
            "URL": "={{ $('🔀 Split Events into Separate Items').item.json.url }}",
            "Date": "={{ $('🔀 Split Events into Separate Items').item.json.date }}",
            "Category": "={{ $('🔀 Split Events into Separate Items').item.json.category }}",
            "Location": "={{ $('🔀 Split Events into Separate Items').item.json.location }}",
            "Attendees": "={{ $('🔀 Split Events into Separate Items').item.json.attendees }}",
            "Event name": "={{ $('🔀 Split Events into Separate Items').item.json.event_name }}",
            "Description": "={{ $('🔀 Split Events into Separate Items').item.json.description }}",
            "Sponsership opportunities": "={{ $json.message.content }}"
          },
          "schema": [
            {
              "id": "Event name",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Event name",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Location",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Location",
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              "canBeUsedToMatch": true
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            {
              "id": "Date",
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            {
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              "displayName": "Category",
              "defaultMatch": false,
              "canBeUsedToMatch": true
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            {
              "id": "Description",
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              "display": true,
              "required": false,
              "displayName": "Description",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "URL",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "URL",
              "defaultMatch": false,
              "canBeUsedToMatch": true
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            {
              "id": "Attendees",
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              "display": true,
              "required": false,
              "displayName": "Attendees",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Sponsership opportunities",
              "type": "string",
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              "required": false,
              "displayName": "Sponsership opportunities",
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              "canBeUsedToMatch": true
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          "cachedResultName": "sponsership opportunities"
        }
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        "content": "### 🔹 **SECTION 1: Input URL and Trigger Workflow**\n\n#### 🧩 **Nodes:**\n\n1. **⚡ Trigger: Execute Workflow**\n\n   * *New Name:* `🔘 Trigger: Manual Execution`\n\n2. **📝 Set 10Times URL (New York Events)**\n\n   * *New Name:* `🌐 Set URL for 10Times New York Events`\n\n#### 💡 **What Happens:**\n\n* **Step 1: Trigger the Workflow**\n  You start the workflow by manually clicking the **\"Execute\"** button.\n\n* **Step 2: Input URL for 10Times**\n  You input the **URL for the 10Times event listing** for **New York**, and this will allow the workflow to fetch data from the specified webpage.\n\n#### ✅ **How You Can Use It:**\n\n* This section is super simple: you just input the URL for any event list (in this case, for **New York events** from **10Times**).\n* **No technical skills needed**—just copy and paste the URL."
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        "content": "### 🤖 **SECTION 2: Scrape Event Data from 10Times**\n\n#### 🧩 **Node:**\n\n1. **🤖 Agent: Scrape Events Data**\n\n   * *New Name:* `🤖 Agent: Scrape Event Data (10Times)`\n\n##### 🧠 **Sub-Nodes Inside the Agent:**\n\n* **🧠 AI Model: Data Processing**\n\n  * *New Name:* `💬 AI Model: Process Event Data`\n\n* **🌐 Bright Data MCP Client: Scrape Events**\n\n  * *New Name:* `🌐 MCP Client: Scrape Events from 10Times`\n\n* **🧾 Parse Scraped Data into JSON**\n\n  * *New Name:* `📝 Parse Scraped Data into JSON Format`\n\n#### 💡 **What Happens:**\n\n* The **AI Agent** accesses the **Bright Data MCP Client** to scrape data from the **10Times event listings** in **New York**.\n* After scraping, the data is **parsed into a structured JSON format** so that it can be used in subsequent steps.\n\n#### ✅ **How You Can Use It:**\n\n* This section **automates** the **data scraping** process, saving you from manually collecting event details.\n* The **MCP Client** ensures that the data is accurately collected, even from websites that might have anti-bot measures.\n\n"
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        "content": "### 🧮 **SECTION 3: Analyze Events for Sponsorship Opportunities**\n\n#### 🧩 **Nodes:**\n\n1. **🔄 Split Events into Separate Items**\n\n   * *New Name:* `🔀 Split Events into Individual Listings`\n\n2. **💬 AI: Analyze Events for Sponsorship Opportunities**\n\n   * *New Name:* `💬 AI: Sponsorship Opportunity Analysis`\n\n#### 💡 **What Happens:**\n\n* **Step 1: Split Events**\n  The **event data** is **split** into individual listings, making it easier to analyze and work with.\n\n* **Step 2: Analyze Sponsorships**\n  The **AI Model** reviews each event and provides an analysis of potential **sponsorship opportunities** based on your company's interest in **project management products**.\n\n#### ✅ **How You Can Use It:**\n\n* The **AI analysis** can **rate each event** based on its potential for sponsorship, helping you make informed decisions about where to invest.\n* **Automates the evaluation** of events so that you don’t need to manually review each one.\n\n"
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        "content": "### 📊 **SECTION 4: Store Data in Google Sheets**\n\n#### 🧩 **Node:**\n\n1. **📥 Google Sheets: Save Events & Sponsorship Ratings**\n\n   * *New Name:* `📥 Save Events and Sponsorship Ratings to Google Sheets`\n\n#### 💡 **What Happens:**\n\n* All the **event details**, **sponsorship ratings**, and **analysis** are **stored in Google Sheets** for future reference or reporting.\n\n#### ✅ **How You Can Use It:**\n\n* **Google Sheets** will serve as a **central repository** where you can keep track of the events and their sponsorship ratings.\n* This makes it easy to **export data**, **share reports**, or **analyze trends** over time.\n\n"
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        "content": "## 🚀 **Event Sponsorship Analysis Workflow**\n\nThis workflow helps you scrape **event data** from the **10Times website**, analyze **sponsorship opportunities** for your company, and then store all relevant information in **Google Sheets**.\n\n### 🔹 **SECTION 1: Input URL and Trigger Workflow**\n\n#### 🧩 **Nodes:**\n\n1. **⚡ Trigger: Execute Workflow**\n\n   * *New Name:* `🔘 Trigger: Manual Execution`\n\n2. **📝 Set 10Times URL (New York Events)**\n\n   * *New Name:* `🌐 Set URL for 10Times New York Events`\n\n#### 💡 **What Happens:**\n\n* **Step 1: Trigger the Workflow**\n  You start the workflow by manually clicking the **\"Execute\"** button.\n\n* **Step 2: Input URL for 10Times**\n  You input the **URL for the 10Times event listing** for **New York**, and this will allow the workflow to fetch data from the specified webpage.\n\n#### ✅ **How You Can Use It:**\n\n* This section is super simple: you just input the URL for any event list (in this case, for **New York events** from **10Times**).\n* **No technical skills needed**—just copy and paste the URL.\n\n---\n\n### 🤖 **SECTION 2: Scrape Event Data from 10Times**\n\n#### 🧩 **Node:**\n\n1. **🤖 Agent: Scrape Events Data**\n\n   * *New Name:* `🤖 Agent: Scrape Event Data (10Times)`\n\n##### 🧠 **Sub-Nodes Inside the Agent:**\n\n* **🧠 AI Model: Data Processing**\n\n  * *New Name:* `💬 AI Model: Process Event Data`\n\n* **🌐 Bright Data MCP Client: Scrape Events**\n\n  * *New Name:* `🌐 MCP Client: Scrape Events from 10Times`\n\n* **🧾 Parse Scraped Data into JSON**\n\n  * *New Name:* `📝 Parse Scraped Data into JSON Format`\n\n#### 💡 **What Happens:**\n\n* The **AI Agent** accesses the **Bright Data MCP Client** to scrape data from the **10Times event listings** in **New York**.\n* After scraping, the data is **parsed into a structured JSON format** so that it can be used in subsequent steps.\n\n#### ✅ **How You Can Use It:**\n\n* This section **automates** the **data scraping** process, saving you from manually collecting event details.\n* The **MCP Client** ensures that the data is accurately collected, even from websites that might have anti-bot measures.\n\n---\n\n### 🧮 **SECTION 3: Analyze Events for Sponsorship Opportunities**\n\n#### 🧩 **Nodes:**\n\n1. **🔄 Split Events into Separate Items**\n\n   * *New Name:* `🔀 Split Events into Individual Listings`\n\n2. **💬 AI: Analyze Events for Sponsorship Opportunities**\n\n   * *New Name:* `💬 AI: Sponsorship Opportunity Analysis`\n\n#### 💡 **What Happens:**\n\n* **Step 1: Split Events**\n  The **event data** is **split** into individual listings, making it easier to analyze and work with.\n\n* **Step 2: Analyze Sponsorships**\n  The **AI Model** reviews each event and provides an analysis of potential **sponsorship opportunities** based on your company's interest in **project management products**.\n\n#### ✅ **How You Can Use It:**\n\n* The **AI analysis** can **rate each event** based on its potential for sponsorship, helping you make informed decisions about where to invest.\n* **Automates the evaluation** of events so that you don’t need to manually review each one.\n\n---\n\n### 📊 **SECTION 4: Store Data in Google Sheets**\n\n#### 🧩 **Node:**\n\n1. **📥 Google Sheets: Save Events & Sponsorship Ratings**\n\n   * *New Name:* `📥 Save Events and Sponsorship Ratings to Google Sheets`\n\n#### 💡 **What Happens:**\n\n* All the **event details**, **sponsorship ratings**, and **analysis** are **stored in Google Sheets** for future reference or reporting.\n\n#### ✅ **How You Can Use It:**\n\n* **Google Sheets** will serve as a **central repository** where you can keep track of the events and their sponsorship ratings.\n* This makes it easy to **export data**, **share reports**, or **analyze trends** over time.\n\n---\n\n### **Summary of the Workflow**\n\n| **Section**                            | **What Happens**                                                                                                                 |\n| -------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------- |\n| **🔘 Section 1: Input URL & Trigger**  | You **input the URL** for **10Times New York events** and click **\"Execute\"** to start the process.                              |\n| **🤖 Section 2: Scrape Event Data**    | The **AI Agent** scrapes **New York event listings** from **10Times** and formats them into **structured JSON**.                 |\n| **🔀 Section 3: Analyze Sponsorships** | The scraped events are **split into individual listings**, and an **AI model** evaluates them for **sponsorship opportunities**. |\n| **📥 Section 4: Store Data**           | The **event details and sponsorship ratings** are automatically **saved** in **Google Sheets** for easy access and tracking.     |\n\n---\n\n### ✅ **How This Helps You:**\n\n| **Use Case**                | **Benefit**                                                                                                    |\n| --------------------------- | -------------------------------------------------------------------------------------------------------------- |\n| 💼 **Sponsorship Analysis** | The **AI** helps you **identify sponsorship opportunities** for events that fit your company's **tech focus**. |\n| 📊 **Data Management**      | **Automatically store** event data and ratings in **Google Sheets**, allowing for **easy tracking**.           |\n| ⏳ **Time-Saving**           | No need to manually scrape, analyze, or store data. The entire process is **automated**.                       |\n\n"
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        "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"
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        "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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