{
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    "id": 4884,
    "name": "Auto-generate AI news commentary with Dumpling AI and GPT-4o",
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    "createdAt": "2025-06-11T21:42:44.885Z",
    "description": "This workflow turns trending news into thoughtful first-person commentary for platforms like LinkedIn. It uses **Dumpling AI’s News Search and Scraping APIs** to find and extract article content, then feeds the cleaned text to **GPT-4o** to write personalized insights. The final output is saved back to **Google Sheets** as a draft for easy review or posting.\n\n---\n\n### ✅ What this workflow does\n\n1. **Triggers daily** using a Schedule node.\n2. **Fetches a list of content topics** from a Google Sheet.\n3. **Uses Dumpling AI** to search for relevant news articles based on each topic.\n4. **Scrapes the article content** with Dumpling AI’s `/scrape` endpoint.\n5. **Cleans and aggregates the article content** using a Code node.\n6. **Generates first-person commentary** with GPT-4o tailored for LinkedIn.\n7. **Appends the generated post** back to the Google Sheet next to its topic.\n\n---\n\n### 🧩 Nodes in this workflow\n\n- **Schedule Trigger**: Starts the workflow daily.\n- **Google Sheets (Read Topics)**: Pulls topic rows that don’t have a generated commentary yet.\n- **Split In Batches**: Processes each topic one at a time.\n- **Wait**: Adds a delay to manage API limits.\n- **HTTP Request (Search News)**: Uses Dumpling AI's `/search-news` to find relevant articles for the topic.\n- **Split Out**: Iterates over the list of article results.\n- **HTTP Request (Scrape Article)**: Extracts the full article text using Dumpling AI’s `/scrape`.\n- **Aggregate**: Collects and merges article content fields.\n- **Code (Clean Article)**: Strips links, formatting, and irrelevant text.\n- **OpenAI (GPT-4o)**: Generates a short, first-person LinkedIn post-style commentary using a custom prompt.\n- **Google Sheets (Write Back)**: Appends the final output next to the original topic in the sheet.\n\n---\n\n### 🧑‍💼 Who is this for?\n\n- **Founders, content creators, marketers**, or **agency teams** looking to maintain an active presence on LinkedIn or newsletters by sharing smart takes on industry trends.\n\n---\n\n### 💡 What problem does this solve?\n\nMost people want to comment on current events but don't have the time to summarize articles or write well-structured posts. This automation saves hours of manual work by:\n- Finding the right article.\n- Extracting and cleaning the content.\n- Writing it in a natural, first-person voice using AI.\n\n---\n\n### ⚙️ What you need to use this:\n\n- A **Google Sheet** with at least two columns: `topic` and `generated commentary`.\n- A **Dumpling AI API Key** with access to the `/search-news` and `/scrape` endpoints.\n- An **OpenAI GPT-4o connection**.\n\n---\n",
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      "name": "Auto-Generate AI News Commentary with Dumpling AI and GPT-4o",
      "tags": [],
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                  "content": "=You are a thought leader on LinkedIn. I will provide you with a news articles related to {{ $('Fetch Topics with Empty Commentary').item.json.Topic }}, and you will write a personal commentary in a confident, insightful, first-person voice.\n\nYour response should:\n- Start with a strong personal opinion or observation\n- Briefly connect the news to real-world trends or implications\n- Mention how this relates to your work, experience, or thinking\n- Use a human tone, no robotic phrasing or generic statements\n- End with a question or call to action to invite engagement\n\nKeep it under 600 characters. Avoid buzzwords or fluff. Be authentic.\n\nHere are the news articles:{{ $json.cleaned_content }}\n"
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            }
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            "height": 340,
            "content": "### 📥 Fetch Topics and Search News via Dumpling AI\n\nThis section starts with a scheduled trigger. It pulls entries from a Google Sheet where the “generated commentary” is empty, meaning the topic hasn’t been processed. Each topic is looped individually. A short wait is applied to manage rate limits. Dumpling AI’s `/search-news` endpoint is then triggered to retrieve relevant articles based on the topic keyword.\n"
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        {
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          "name": "Sticky Note1",
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            "content": "### ✍️ Scrape Articles, Clean Text, Generate Commentary, and Append\n\nEach article is split out and scraped using Dumpling AI’s `/scrape` endpoint to get full content. The aggregated content is cleaned via a Code node, removing links and excess formatting. GPT-4o generates a LinkedIn-style first-person commentary using this cleaned content. The final output is saved back to the Google Sheet under the “generated commentary” field.\n"
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            "alias": [
              "Comments",
              "Notes",
              "Sticky"
            ],
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Helpers"
              ]
            }
          }
        },
        "group": "[\"input\"]",
        "defaults": {
          "name": "Sticky Note",
          "color": "#FFD233"
        },
        "iconData": {
          "icon": "sticky-note",
          "type": "icon"
        },
        "displayName": "Sticky Note",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 834,
        "icon": "file:code.svg",
        "name": "n8n-nodes-base.code",
        "codex": {
          "data": {
            "alias": [
              "cpde",
              "Javascript",
              "JS",
              "Python",
              "Script",
              "Custom Code",
              "Function"
            ],
            "details": "The Code node allows you to execute JavaScript in your workflow.",
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.code/"
                }
              ]
            },
            "categories": [
              "Development",
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Helpers",
                "Data Transformation"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Code"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "Code",
        "typeVersion": 2,
        "nodeCategories": [
          {
            "id": 5,
            "name": "Development"
          },
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 839,
        "icon": "fa:clock",
        "name": "n8n-nodes-base.scheduleTrigger",
        "codex": {
          "data": {
            "alias": [
              "Time",
              "Scheduler",
              "Polling",
              "Cron",
              "Interval"
            ],
            "resources": {
              "generic": [],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.scheduletrigger/"
                }
              ]
            },
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0"
          }
        },
        "group": "[\"trigger\",\"schedule\"]",
        "defaults": {
          "name": "Schedule Trigger",
          "color": "#31C49F"
        },
        "iconData": {
          "icon": "clock",
          "type": "icon"
        },
        "displayName": "Schedule Trigger",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 1236,
        "icon": "file:aggregate.svg",
        "name": "n8n-nodes-base.aggregate",
        "codex": {
          "data": {
            "alias": [
              "Aggregate",
              "Combine",
              "Flatten",
              "Transform",
              "Array",
              "List",
              "Item"
            ],
            "details": "",
            "resources": {
              "generic": [],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.aggregate/"
                }
              ]
            },
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Data Transformation"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Aggregate"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "Aggregate",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 1239,
        "icon": "file:splitOut.svg",
        "name": "n8n-nodes-base.splitOut",
        "codex": {
          "data": {
            "alias": [
              "Split",
              "Nested",
              "Transform",
              "Array",
              "List",
              "Item"
            ],
            "details": "",
            "resources": {
              "generic": [],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.splitout/"
                }
              ]
            },
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Data Transformation"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Split Out"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSI1MTIiIGhlaWdodD0iNTEyIiBmaWxsPSJub25lIj48ZyBmaWxsPSIjOUI2REQ1IiBjbGlwLXBhdGg9InVybCgjYSkiPjxwYXRoIGZpbGwtcnVsZT0iZXZlbm9kZCIgZD0iTTQ4MCAxNDhjMC02LjYyNy01LjM3My0xMi0xMi0xMkgzMjJjLTYuNjI3IDAtMTIgNS4zNzMtMTIgMTJ2MjRjMCA2LjYyNyA1LjM3MyAxMiAxMiAxMmgxNDZjNi42MjcgMCAxMi01LjM3MyAxMi0xMnptMCA5NmMwLTYuNjI3LTUuMzczLTEyLTEyLTEySDMyMmMtNi42MjcgMC0xMiA1LjM3My0xMiAxMnYyNGMwIDYuNjI3IDUuMzczIDEyIDEyIDEyaDE0NmM2LjYyNyAwIDEyLTUuMzczIDEyLTEyem0wIDk2YzAtNi42MjctNS4zNzMtMTItMTItMTJIMzIyYy02LjYyNyAwLTEyIDUuMzczLTEyIDEydjI0YzAgNi42MjcgNS4zNzMgMTIgMTIgMTJoMTQ2YzYuNjI3IDAgMTItNS4zNzMgMTItMTJ6IiBjbGlwLXJ1bGU9ImV2ZW5vZGQiLz48cGF0aCBkPSJNNDM4IDc2YzAgNi42MjctNS4zNzMgMTItMTIgMTJIMzA5Ljc4M2MtMTcuNjczIDAtMzIgMTQuMzI3LTMyIDMydjU2YzAgMjYuOTc4LTEwLjI3MiA1MS41NTctMjcuMTE5IDcwLjAzOS01LjA1NSA1LjU0NS01LjA1NSAxNC4zNzcgMCAxOS45MjIgMTYuODQ3IDE4LjQ4MiAyNy4xMTkgNDMuMDYxIDI3LjExOSA3MC4wMzl2NTZjMCAxNy42NzMgMTQuMzI3IDMyIDMyIDMySDQyNmM2LjYyNyAwIDEyIDUuMzczIDEyIDEydjI0YzAgNi42MjctNS4zNzMgMTItMTIgMTJIMzA5Ljc4M2MtNDQuMTgzIDAtODAtMzUuODE3LTgwLTgwdi01NmMwLTMwLjkyOC0yNS4wNzItNTYtNTYtNTZhNS43ODMgNS43ODMgMCAwIDEtNS43ODMtNS43ODN2LTM2LjQzNGE1Ljc4MyA1Ljc4MyAwIDAgMSA1Ljc4My01Ljc4M2MzMC45MjggMCA1Ni0yNS4wNzIgNTYtNTZ2LTU2YzAtNDQuMTgzIDM1LjgxNy04MCA4MC04MEg0MjZjNi42MjcgMCAxMiA1LjM3MyAxMiAxMnoiLz48cGF0aCBmaWxsLXJ1bGU9ImV2ZW5vZGQiIGQ9Ik0xMzYgMjQ0YzAtNi42MjctNS4zNzMtMTItMTItMTJIMTJjLTYuNjI3IDAtMTIgNS4zNzMtMTIgMTJ2MjRjMCA2LjYyNyA1LjM3MyAxMiAxMiAxMmgxMTJjNi42MjcgMCAxMi01LjM3MyAxMi0xMnoiIGNsaXAtcnVsZT0iZXZlbm9kZCIvPjwvZz48ZGVmcz48Y2xpcFBhdGggaWQ9ImEiPjxwYXRoIGZpbGw9IiNmZmYiIGQ9Ik01MTIgMEgwdjUxMmg1MTJ6Ii8+PC9jbGlwUGF0aD48L2RlZnM+PC9zdmc+"
        },
        "displayName": "Split Out",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 1250,
        "icon": "file:openAi.svg",
        "name": "@n8n/n8n-nodes-langchain.openAi",
        "codex": {
          "data": {
            "alias": [
              "LangChain",
              "ChatGPT",
              "Sora",
              "DallE",
              "whisper",
              "audio",
              "transcribe",
              "tts",
              "assistant"
            ],
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-langchain.openai/"
                }
              ]
            },
            "categories": [
              "AI",
              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Agents",
                "Miscellaneous",
                "Root Nodes"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "OpenAI"
        },
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    "image": []
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}