Workflow: devise an n8n automation for Splitout Limit Create Webhook
Integrations: aggregate, filter, html, httpRequest, if, limit, manualTrigger, splitOut, stickyNote

{"meta": {"instanceId": "5287ddd2fa569cf8e4c5a724666246a45305c032a19bb677c9e4b963d365f84b", "templateCredsSetupCompleted": true}, "nodes": [{"id": "95c798a4-bc34-4219-b7c3-6b4a4070886b", "name": "When clicking \u2018Test workflow\u2019", "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\u2019s all for today\u2019s 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 \u2018Test workflow\u2019": {"main": [[{"node": "Fetch BBC News Page", "type": "main", "index": 0}]]}}}