n8n-workflows/workflows/0731_Splitout_Limit_Create_Webhook.json

{
  "meta": {
    "instanceId": "5287ddd2fa569cf8e4c5a724666246a45305c032a19bb677c9e4b963d365f84b",
    "templateCredsSetupCompleted": true
  },
  "nodes": [
    {
      "id": "95c798a4-bc34-4219-b7c3-6b4a4070886b",
      "name": "When clicking ‘Test workflow’",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        -320,
        1080
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "09987590-1ec2-48d4-aa04-32b85addd9e6",
      "name": "Split Out",
      "type": "n8n-nodes-base.splitOut",
      "position": [
        420,
        1080
      ],
      "parameters": {
        "options": {},
        "fieldToSplitOut": "newsTitle"
      },
      "typeVersion": 1
    },
    {
      "id": "758e3f60-01dc-46c7-bb53-7460eaed92e3",
      "name": "Extract News Block",
      "type": "n8n-nodes-base.html",
      "position": [
        220,
        1080
      ],
      "parameters": {
        "options": {},
        "operation": "extractHtmlContent",
        "extractionValues": {
          "values": [
            {
              "key": "newsTitle",
              "cssSelector": ".eGcloy",
              "returnArray": true,
              "returnValue": "html"
            }
          ]
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "20440f9a-a40c-4419-af6d-383de041d078",
      "name": "Extract News Content",
      "type": "n8n-nodes-base.html",
      "position": [
        600,
        1080
      ],
      "parameters": {
        "options": {},
        "operation": "extractHtmlContent",
        "dataPropertyName": "newsTitle",
        "extractionValues": {
          "values": [
            {
              "key": "title",
              "cssSelector": "h2"
            },
            {
              "key": "link",
              "attribute": "href",
              "cssSelector": "a",
              "returnValue": "attribute"
            },
            {
              "key": "description",
              "cssSelector": ".kYtujW"
            }
          ]
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "47a50ada-127a-4037-8fe7-41c0caebb3de",
      "name": "Aggregate",
      "type": "n8n-nodes-base.aggregate",
      "position": [
        2000,
        1060
      ],
      "parameters": {
        "options": {},
        "aggregate": "aggregateAllItemData"
      },
      "typeVersion": 1
    },
    {
      "id": "33050a43-842d-464d-b227-a6c2c870c0af",
      "name": "Fetch BBC News Detail",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1400,
        1060
      ],
      "parameters": {
        "url": "=https://www.bbc.com{{ $json.link }}",
        "options": {}
      },
      "typeVersion": 4.2
    },
    {
      "id": "646bfe6b-cac6-4177-9b59-dc205b44b7eb",
      "name": "Extract Detail",
      "type": "n8n-nodes-base.html",
      "position": [
        1600,
        1060
      ],
      "parameters": {
        "options": {},
        "operation": "extractHtmlContent",
        "extractionValues": {
          "values": [
            {
              "key": "newsDetail",
              "cssSelector": ".dlWCEZ .fYAfXe",
              "returnArray": true
            }
          ]
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "6e14f528-1e94-411f-8601-3c713d492aa9",
      "name": "Filter Empty Detail",
      "type": "n8n-nodes-base.filter",
      "position": [
        1800,
        1060
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "7066e88c-03da-4196-b1c5-80bc16fa3fc6",
              "operator": {
                "type": "array",
                "operation": "notEmpty",
                "singleValue": true
              },
              "leftValue": "={{ $json.newsDetail }}",
              "rightValue": ""
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "5863e420-2392-468a-8e03-5d4c273168e0",
      "name": "If script exists",
      "type": "n8n-nodes-base.if",
      "position": [
        2620,
        1060
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 1,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "2e968b41-88f7-4b28-9837-af50ae130979",
              "operator": {
                "type": "string",
                "operation": "exists",
                "singleValue": true
              },
              "leftValue": "=voice_id {{ $json.output.podcast_script }}",
              "rightValue": ""
            }
          ]
        }
      },
      "typeVersion": 2
    },
    {
      "id": "90b370d3-5712-401d-b769-490014e2b17c",
      "name": "Basic Podcast LLM Chain",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
        2200,
        1060
      ],
      "parameters": {
        "text": "=News Articles:{{ $json.data.map(item => item.newsDetail) }}",
        "messages": {
          "messageValues": [
            {
              "message": "= \n*Convert the following one or multiple news articles into a podcast script formatted for direct use in ElevenLabs. If there is only one news piece, transform it into a compelling and engaging narrative. If multiple news stories are provided, structure them like a news bulletin, presenting each piece sequentially with smooth transitions. Avoid a formal or dry tone; instead, use a natural, conversational, and warm style. The podcast should feel dynamic, engaging, and informative while maintaining a storytelling approach.*  \n\n- *Ensure the script is formatted as a single, continuous text block suitable for direct speech synthesis.*  \n- *Start with an engaging introduction that sets the tone for the podcast.*  \n- *Narrate each news story smoothly, with natural transitions between segments.*  \n- *End with a closing statement that leaves the listener informed and engaged.*  \n- *Output must be in JSON format, with the full script as a single string under the key `\"podcast_script\"`.*  \n\n---\n\n### **Input Format:**  \n```json\n{\n  \"news_articles\": [\n    {\n      \"title\": \"First News Title\",\n      \"content\": \"First news article content...\"\n    },\n    {\n      \"title\": \"Second News Title\",\n      \"content\": \"Second news article content...\"\n    }\n  ]\n}\n```\n\n---\n\nExpected JSON Output Format:\n \n{\n  \"podcast_script\": \"Welcome to today's news podcast! We have some exciting stories lined up for you. Let's start with our first story. [First news article content rewritten in a conversational, engaging style]... Moving on to our next topic... [Second news article content rewritten dynamically]... That’s all for today’s news bulletin! Stay informed and see you next time.\"\n}\n\n\n "
            }
          ]
        },
        "promptType": "define",
        "hasOutputParser": true
      },
      "typeVersion": 1.5
    },
    {
      "id": "24c212c2-6d06-4fe1-841b-bc52a21060b1",
      "name": "Gemini",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        1600,
        1600
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.0-pro-exp-02-05"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "5x46RlCURyTUmbGW",
          "name": "Google Gemini(PaLM) Api account 2"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "02e9f1ee-dc80-403c-8c19-0e6f918cf8ed",
      "name": "Output Parser",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        2360,
        1280
      ],
      "parameters": {
        "jsonSchemaExample": "{\n\t\"podcast_script\": \"California\"\n}"
      },
      "typeVersion": 1.2
    },
    {
      "id": "395ddac7-b2a4-48c5-b2d3-d21078d29c54",
      "name": "News Classifier",
      "type": "@n8n/n8n-nodes-langchain.textClassifier",
      "position": [
        980,
        1080
      ],
      "parameters": {
        "options": {},
        "inputText": "=I will only send the headline as input:\n{{ $json.title }} {{ $json.description }}",
        "categories": {
          "categories": [
            {
              "category": "Suitable",
              "description": "=Role: News Content Suitability Assessor (Positive)\n\nTask: Determine if the given news headline is highly likely to be suitable for storytelling, focusing on positive and engaging aspects.\n\nCriteria (Focus on what makes it suitable):\n\nCuriosity and Interest: Does the headline present an event, discovery, or information that is likely to pique the curiosity of a broad audience? Does it have a \"wow\" factor or relate to a significant trend?\n\nStorytelling Potential: Does the headline lend itself well to narrative expansion? Could it be the start of an engaging story, a key point in a developing situation, or a surprising conclusion?\n\nPositive or Neutral Tone: Is the headline generally positive, neutral, or focused on solutions/progress? (Avoid headlines that primarily focus on conflict, negativity, or routine events).\n\nRelevance: Does the headline touch upon topics that are relevant to a wide audience, such as health, science, technology, interesting discoveries, or positive global events?\n\nOutput Format:\n\nHeadline: [Original news headline]\n\nSuitable: [Yes / No] (Only say \"Yes\" if strongly confident)\n\nReason (Brief): [Briefly explain why it's likely suitable, focusing on the positive aspects.]\n\nExample (for the LLM to learn from):\n\nHeadline: \"Scientists Discover New Species of Butterfly in Amazon Rainforest\"\n\nSuitable: Yes\n\nReason: Discovery, biodiversity, positive natural event, intriguing.\n\nHeadline: \"Stock Market Experiences Minor Fluctuations\"\n\nSuitable: No\n\nReason: Routine economic event, lacks general interest."
            },
            {
              "category": "Not Suitable",
              "description": "=Role: News Content Filter (Negative)\n\nTask: Identify news headlines that are clearly unsuitable for storytelling due to negative content, lack of general interest, or ethical concerns.\n\nCriteria (Focus on what makes it unsuitable):\n\nNegative Content: Does the headline contain violence, crime, accidents, death, suffering, or other traumatic events?\n\nPolitical/Economic Routine: Does the headline focus on routine political announcements, standard economic reports (like minor market changes), or internal political disputes?\n\nDivisive or Harmful Content: Does the headline contain hate speech, discrimination, strong political bias, or potentially harmful misinformation?\n\nLack of General Interest: Is the headline highly niche, specific to a very small group, or about a topic unlikely to interest a broad audience?\n\nOutput Format:\n\nHeadline: [Original news headline]\n\nNot Suitable: [Yes / No] (Only say \"Yes\" if strongly confident)\n\nReason (Brief): [Briefly explain why it's clearly unsuitable.]\n\nExample (for the LLM to learn from):\n\nHeadline: \"Local Politician Announces Campaign Platform\"\n\nNot Suitable: Yes\n\nReason: Routine political event, lacks broad appeal.\n\nHeadline: \"Car Crash Results in Minor Injuries\"\n\nNot Suitable: Yes\n\nReason: Negative event (accident), though thankfully not severe."
            }
          ]
        }
      },
      "typeVersion": 1
    },
    {
      "id": "13fac9ed-688c-4af9-a810-d49a74b98c22",
      "name": "Fetch BBC News Page",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        -60,
        1080
      ],
      "parameters": {
        "url": "https://www.bbc.com/",
        "options": {},
        "responseFormat": "string"
      },
      "typeVersion": 1
    },
    {
      "id": "e2aa33f3-aa7c-4a9d-ac3c-32f9f5872606",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -120,
        920
      ],
      "parameters": {
        "width": 500,
        "height": 340,
        "content": "## This node fetches the main BBC News page, which contains links to various news articles."
      },
      "typeVersion": 1
    },
    {
      "id": "0821b944-44cb-41ed-b5ff-70f99018c5dc",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        960,
        840
      ],
      "parameters": {
        "color": 2,
        "width": 340,
        "height": 360,
        "content": "## This node uses a Gemini LLM to classify news articles based on their titles and descriptions. It determines if the content is suitable for a podcast.\n\n"
      },
      "typeVersion": 1
    },
    {
      "id": "d32b2ebb-0a4d-4d27-9262-894ab7a65cce",
      "name": "Sticky Note2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1360,
        820
      ],
      "parameters": {
        "color": 3,
        "width": 400,
        "height": 420,
        "content": "## This node fetches the detailed content of the news articles that were classified as suitable for a podcast."
      },
      "typeVersion": 1
    },
    {
      "id": "e6e1d180-b2c2-4b62-a611-7c039037ed69",
      "name": "Sticky Note3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2180,
        880
      ],
      "parameters": {
        "color": 4,
        "width": 340,
        "height": 320,
        "content": "## This node uses a Gemini LLM to convert the news articles into a podcast script.\n"
      },
      "typeVersion": 1
    },
    {
      "id": "d8776355-967d-4875-b948-25792f6f38ec",
      "name": "Sticky Note4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2840,
        920
      ],
      "parameters": {
        "color": 5,
        "width": 360,
        "height": 300,
        "content": "##  It structures the script for direct use with the Hugging Face text-to-speech model."
      },
      "typeVersion": 1
    },
    {
      "id": "631a2caf-c640-41df-9215-2b542de51ccb",
      "name": "Sticky Note5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -660,
        740
      ],
      "parameters": {
        "width": 460,
        "height": 280,
        "content": "## 3rd Party Application Requirements:\n\n### Gemini \nYou've already set up a Gemini LLM. No access token is needed for this.\n### Hugging Face\n You'll need an access token for the Hugging Face text-to-speech model \n"
      },
      "typeVersion": 1
    },
    {
      "id": "655e6799-5b7c-4747-b3a9-d01b47f5cba8",
      "name": "Limit 10 Items",
      "type": "n8n-nodes-base.limit",
      "position": [
        800,
        1080
      ],
      "parameters": {
        "maxItems": 10
      },
      "typeVersion": 1
    },
    {
      "id": "64d011d2-9c51-4f1f-a3b8-edf3fcbc6710",
      "name": "Hugging Face Text-to-Speech.",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        2900,
        1060
      ],
      "parameters": {
        "url": "https://router.huggingface.co/hf-inference/models/facebook/mms-tts-eng",
        "method": "POST",
        "options": {},
        "sendBody": true,
        "authentication": "predefinedCredentialType",
        "bodyParameters": {
          "parameters": [
            {
              "name": "inputs",
              "value": "={{ $json.output.podcast_script }}"
            }
          ]
        },
        "nodeCredentialType": "huggingFaceApi"
      },
      "credentials": {
        "huggingFaceApi": {
          "id": "FF4PO5RYOJqZ0vhQ",
          "name": "HuggingFaceApi account"
        }
      },
      "typeVersion": 4.2
    }
  ],
  "pinData": {},
  "connections": {
    "Gemini": {
      "ai_languageModel": [
        [
          {
            "node": "News Classifier",
            "type": "ai_languageModel",
            "index": 0
          },
          {
            "node": "Basic Podcast LLM Chain",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Aggregate": {
      "main": [
        [
          {
            "node": "Basic Podcast LLM Chain",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Split Out": {
      "main": [
        [
          {
            "node": "Extract News Content",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Output Parser": {
      "ai_outputParser": [
        [
          {
            "node": "Basic Podcast LLM Chain",
            "type": "ai_outputParser",
            "index": 0
          }
        ]
      ]
    },
    "Extract Detail": {
      "main": [
        [
          {
            "node": "Filter Empty Detail",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Limit 10 Items": {
      "main": [
        [
          {
            "node": "News Classifier",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "News Classifier": {
      "main": [
        [
          {
            "node": "Fetch BBC News Detail",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "If script exists": {
      "main": [
        [
          {
            "node": "Hugging Face Text-to-Speech.",
            "type": "main",
            "index": 0
          }
        ],
        []
      ]
    },
    "Extract News Block": {
      "main": [
        [
          {
            "node": "Split Out",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Fetch BBC News Page": {
      "main": [
        [
          {
            "node": "Extract News Block",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Filter Empty Detail": {
      "main": [
        [
          {
            "node": "Aggregate",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Extract News Content": {
      "main": [
        [
          {
            "node": "Limit 10 Items",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Fetch BBC News Detail": {
      "main": [
        [
          {
            "node": "Extract Detail",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Basic Podcast LLM Chain": {
      "main": [
        [
          {
            "node": "If script exists",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "When clicking ‘Test workflow’": {
      "main": [
        [
          {
            "node": "Fetch BBC News Page",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}