{"workflow":{"id":13809,"name":"Run Hugging Face open-source AI models via webhook in n8n","views":76,"recentViews":1,"totalViews":76,"createdAt":"2026-03-02T11:01:03.919Z","description":"This workflow connects n8n to the Hugging Face Inference API, letting you run powerful open-source AI models for text generation, summarization, sentiment analysis, translation, and image generation — all fully automated, no GPU setup required. Simply POST a request and get AI-powered results back in seconds.\n\n---\n\n### What's the Goal?\nTo give developers, agencies, and businesses a plug-and-play automation for running any Hugging Face model without managing infrastructure. Replace expensive proprietary APIs with open-source alternatives that you control.\n\nTasks this workflow handles out of the box:\n- Text generation (GPT-style content writing)\n- Summarization (condense long documents)\n- Sentiment analysis (classify tone of any text)\n- Translation (multilingual content)\n- Image generation (text-to-image via Stable Diffusion)\n\n---\n\n### Why Does It Matter?\nHugging Face hosts over 400,000 open-source models — many matching or exceeding the quality of paid APIs at a fraction of the cost. This workflow:\n\n- Saves money: free tier available, paid plans start at $9/mo\n- Gives full control: swap any model by changing one field\n- Scales instantly: no GPU provisioning or DevOps needed\n- Works in automation: connects to any n8n trigger or pipeline\n- Produces billable output: agencies can resell AI services built on this\n\n---\n\n### How It Works\nStep 1 — Webhook receives the task request with input text and task type\nStep 2 — Set node stores your Hugging Face API key and normalizes all inputs\nStep 3 — Code node selects the right model and builds the correct API payload for the task\nStep 4 — HTTP Request calls the Hugging Face Inference API with the built payload\nStep 5 — Code node parses and formats the raw API response into clean structured output\nStep 6 — Respond node returns the final result as JSON to the caller\n\n---\n\n### Configuration Requirements\n- HUGGING_FACE_API_KEY — Get free at huggingface.co/settings/tokens\n- No other credentials needed for basic usage\n- Optional: Google Sheets credential for logging (node already included)\n\n---\n\n### Setup Guide\nStep 1: Import this workflow into your n8n instance\nStep 2: Open the Set API Config node and replace YOUR_HF_API_KEY with your token\nStep 3: Activate the workflow\nStep 4: POST to /webhook/hf-runner with your task payload\nStep 5: Swap models anytime by changing the model field in your request\n\n---\n\n### Sample Webhook Payload\n{\n  \"task\": \"summarization\",\n  \"input\": \"Your long text goes here...\",\n  \"model\": \"\",\n  \"parameters\": {}\n}\n\n### Supported Task Values\n- text_generation\n- summarization\n- sentiment_analysis\n- translation\n- image_generation\n\n### Default Models Used\n- text_generation    → mistralai/Mistral-7B-Instruct-v0.2\n- summarization      → facebook/bart-large-cnn\n- sentiment_analysis → distilbert-base-uncased-finetuned-sst-2-english\n- translation        → Helsinki-NLP/opus-mt-en-fr\n- image_generation   → stabilityai/stable-diffusion-xl-base-1.0","workflow":{"id":"Le5YLLYsFuiH6UBT","meta":{"instanceId":"dd69efaf8212c74ad206700d104739d3329588a6f3f8381a46a481f34c9cc281"},"name":"n8n Hugging Face — Open-Source AI Model Runner","tags":[],"nodes":[{"id":"e5af3623-cb11-41bd-8823-c00d4578c342","name":"Main Overview","type":"n8n-nodes-base.stickyNote","position":[-256,-272],"parameters":{"width":1408,"height":1468,"content":"# n8n Hugging Face Workflow\n## Run Open-Source AI Models Automatically\n\n---\n\n### Description\nThis workflow connects n8n to the Hugging Face Inference API, letting you run powerful open-source AI models for text generation, summarization, sentiment analysis, translation, and image generation — all fully automated, no GPU setup required. Simply POST a request and get AI-powered results back in seconds.\n\n---\n\n### What's the Goal?\nTo give developers, agencies, and businesses a plug-and-play automation for running any Hugging Face model without managing infrastructure. Replace expensive proprietary APIs with open-source alternatives that you control.\n\nTasks this workflow handles out of the box:\n- Text generation (GPT-style content writing)\n- Summarization (condense long documents)\n- Sentiment analysis (classify tone of any text)\n- Translation (multilingual content)\n- Image generation (text-to-image via Stable Diffusion)\n\n---\n\n### Why Does It Matter?\nHugging Face hosts over 400,000 open-source models — many matching or exceeding the quality of paid APIs at a fraction of the cost. This workflow:\n\n- Saves money: free tier available, paid plans start at $9/mo\n- Gives full control: swap any model by changing one field\n- Scales instantly: no GPU provisioning or DevOps needed\n- Works in automation: connects to any n8n trigger or pipeline\n- Produces billable output: agencies can resell AI services built on this\n\n---\n\n### How It Works\nStep 1 — Webhook receives the task request with input text and task type\nStep 2 — Set node stores your Hugging Face API key and normalizes all inputs\nStep 3 — Code node selects the right model and builds the correct API payload for the task\nStep 4 — HTTP Request calls the Hugging Face Inference API with the built payload\nStep 5 — Code node parses and formats the raw API response into clean structured output\nStep 6 — Respond node returns the final result as JSON to the caller\n\n---\n\n### Configuration Requirements\n- HUGGING_FACE_API_KEY — Get free at huggingface.co/settings/tokens\n- No other credentials needed for basic usage\n- Optional: Google Sheets credential for logging (node already included)\n\n---\n\n### Setup Guide\nStep 1: Import this workflow into your n8n instance\nStep 2: Open the Set API Config node and replace YOUR_HF_API_KEY with your token\nStep 3: Activate the workflow\nStep 4: POST to /webhook/hf-runner with your task payload\nStep 5: Swap models anytime by changing the model field in your request\n"},"typeVersion":1},{"id":"1a48bd5c-8f54-497b-a17a-92ec92a2e66e","name":"Flow Guide","type":"n8n-nodes-base.stickyNote","position":[1216,16],"parameters":{"color":3,"width":608,"height":536,"content":"### 1. Request and builds the correct API\n\nWebhook receives the task request with input text and task type and stores your Hugging Face API key and normalizes all inputs then selects the right model and builds the correct API payload for the task"},"typeVersion":1},{"id":"e3956749-268d-4d66-bf66-75ef24ec1e46","name":"Receive Task Request","type":"n8n-nodes-base.webhook","position":[1264,352],"webhookId":"c193f697-1675-46e3-93d3-934abe1f58d5","parameters":{"path":"hf-runner","options":{},"httpMethod":"POST","responseMode":"responseNode"},"typeVersion":2},{"id":"8ee44072-1067-4fb5-ad3a-e28886a402e8","name":"Set API Config","type":"n8n-nodes-base.set","position":[1472,352],"parameters":{"options":{},"assignments":{"assignments":[{"id":"a1","name":"task","type":"string","value":"={{ $json.body.task || $json.task || 'summarization' }}"},{"id":"a2","name":"inputText","type":"string","value":"={{ $json.body.input || $json.input || '' }}"},{"id":"a3","name":"customModel","type":"string","value":"={{ $json.body.model || $json.model || '' }}"},{"id":"a4","name":"extraParams","type":"string","value":"={{ JSON.stringify($json.body.parameters || $json.parameters || {}) }}"},{"id":"a5","name":"jobId","type":"string","value":"={{ 'HF-' + Date.now() }}"},{"id":"a6","name":"HF_API_KEY","type":"string","value":"YOUR_HF_API_KEY"}]}},"typeVersion":3.4},{"id":"e767998b-63c4-4d9e-bff5-fe9d51c7da74","name":"Build Model Payload","type":"n8n-nodes-base.code","position":[1696,352],"parameters":{"jsCode":"\nvar d = $input.first().json;\n\n// Default models per task\nvar defaultModels = {\n  text_generation:    'mistralai/Mistral-7B-Instruct-v0.2',\n  summarization:      'facebook/bart-large-cnn',\n  sentiment_analysis: 'distilbert-base-uncased-finetuned-sst-2-english',\n  translation:        'Helsinki-NLP/opus-mt-en-fr',\n  image_generation:   'stabilityai/stable-diffusion-xl-base-1.0'\n};\n\nvar task  = d.task || 'summarization';\nvar model = d.customModel || defaultModels[task] || defaultModels['summarization'];\nvar input = d.inputText || '';\n\nif (!input) {\n  throw new Error('Missing input field. Please provide text in the input field.');\n}\n\n// Build payload per task type\nvar payload = {};\nif (task === 'text_generation') {\n  payload = {\n    inputs: input,\n    parameters: { max_new_tokens: 512, temperature: 0.7, return_full_text: false }\n  };\n} else if (task === 'summarization') {\n  payload = {\n    inputs: input,\n    parameters: { max_length: 200, min_length: 50, do_sample: false }\n  };\n} else if (task === 'sentiment_analysis') {\n  payload = { inputs: input };\n} else if (task === 'translation') {\n  payload = { inputs: input };\n} else if (task === 'image_generation') {\n  payload = {\n    inputs: input,\n    parameters: { num_inference_steps: 30, guidance_scale: 7.5 }\n  };\n} else {\n  payload = { inputs: input };\n}\n\n// Merge any extra user params\ntry {\n  var extra = JSON.parse(d.extraParams || '{}');\n  if (extra && typeof extra === 'object') {\n    payload.parameters = Object.assign(payload.parameters || {}, extra);\n  }\n} catch(e) {}\n\nreturn [{ json: {\n  jobId:       d.jobId,\n  task:        task,\n  model:       model,\n  payload:     payload,\n  payloadJson: JSON.stringify(payload),\n  HF_API_KEY:  d.HF_API_KEY,\n  startedAt:   new Date().toISOString()\n}}];\n"},"typeVersion":2},{"id":"87092f41-6704-462c-8a87-8ad047ca809c","name":"Call Hugging Face API","type":"n8n-nodes-base.httpRequest","position":[1920,352],"parameters":{"url":"={{ 'https://api-inference.huggingface.co/models/' + $json.model }}","method":"POST","options":{"timeout":60000,"response":{"response":{"responseFormat":"json"}}},"jsonBody":"={{ $json.payloadJson }}","sendBody":true,"sendHeaders":true,"specifyBody":"json","headerParameters":{"parameters":[{"name":"Authorization","value":"={{ 'Bearer ' + $json.HF_API_KEY }}"},{"name":"Content-Type","value":"application/json"},{"name":"x-wait-for-model","value":"true"}]}},"typeVersion":4.2},{"id":"6a285588-0068-4623-99ec-b46141d0e6c2","name":"Parse and Format Response","type":"n8n-nodes-base.code","position":[2144,352],"parameters":{"jsCode":"\nvar raw  = $('Call Hugging Face API').first().json;\nvar meta = $('Build Model Payload').first().json;\n\nvar task   = meta.task || 'unknown';\nvar result = null;\nvar label  = '';\nvar score  = null;\n\ntry {\n  // HF returns different shapes per task\n  if (Array.isArray(raw)) {\n    var first = raw[0];\n\n    if (task === 'text_generation') {\n      result = (first.generated_text || '').trim();\n\n    } else if (task === 'summarization') {\n      result = (first.summary_text || '').trim();\n\n    } else if (task === 'sentiment_analysis') {\n      // Can be nested array\n      var item = Array.isArray(first) ? first[0] : first;\n      label  = item.label || '';\n      score  = item.score ? parseFloat(item.score.toFixed(4)) : null;\n      result = label + ' (' + (score !== null ? (score * 100).toFixed(1) + '%' : '') + ' confidence)';\n\n    } else if (task === 'translation') {\n      result = (first.translation_text || '').trim();\n\n    } else if (task === 'image_generation') {\n      // Binary/blob — HF returns base64 in some endpoints\n      result = '[Image generated — use binary output mode for image bytes]';\n\n    } else {\n      result = JSON.stringify(first);\n    }\n\n  } else if (raw && typeof raw === 'object') {\n    // Some models return object directly\n    result = raw.generated_text || raw.summary_text || raw.translation_text || JSON.stringify(raw);\n  } else {\n    result = String(raw);\n  }\n} catch(e) {\n  result = 'Parse error: ' + e.message;\n}\n\nreturn [{ json: {\n  success:       true,\n  jobId:         meta.jobId,\n  task:          task,\n  model:         meta.model,\n  result:        result,\n  label:         label || null,\n  score:         score,\n  resultLength:  (result || '').length,\n  completedAt:   new Date().toISOString()\n}}];\n"},"typeVersion":2},{"id":"d582c9bf-69aa-42ea-80d4-91188fd2c160","name":"Return Result","type":"n8n-nodes-base.respondToWebhook","position":[2352,352],"parameters":{"options":{"responseCode":200},"respondWith":"json","responseBody":"={{ JSON.stringify({ success: $json.success, jobId: $json.jobId, task: $json.task, model: $json.model, result: $json.result, label: $json.label, score: $json.score, resultLength: $json.resultLength, completedAt: $json.completedAt }) }}"},"typeVersion":1.1},{"id":"6e67090c-d7f7-4a04-aad5-f5412e00d42e","name":"Flow Guide1","type":"n8n-nodes-base.stickyNote","position":[1872,16],"parameters":{"color":3,"width":608,"height":536,"content":"### 2. API response\n\nHTTP Request calls the Hugging Face Inference API with the built payload then parses and formats the raw API response into clean structured output and returns the final result as JSON to the caller"},"typeVersion":1}],"active":false,"pinData":{},"settings":{"executionOrder":"v1"},"versionId":"5c888e49-877e-4217-bdd7-d7620c2f3fc4","connections":{"Set API Config":{"main":[[{"node":"Build Model Payload","type":"main","index":0}]]},"Build Model Payload":{"main":[[{"node":"Call Hugging Face API","type":"main","index":0}]]},"Receive Task Request":{"main":[[{"node":"Set API Config","type":"main","index":0}]]},"Call Hugging Face API":{"main":[[{"node":"Parse and Format Response","type":"main","index":0}]]},"Parse and Format Response":{"main":[[{"node":"Return Result","type":"main","index":0}]]}}},"lastUpdatedBy":1,"workflowInfo":{"nodeCount":9,"nodeTypes":{"n8n-nodes-base.set":{"count":1},"n8n-nodes-base.code":{"count":2},"n8n-nodes-base.webhook":{"count":1},"n8n-nodes-base.stickyNote":{"count":3},"n8n-nodes-base.httpRequest":{"count":1},"n8n-nodes-base.respondToWebhook":{"count":1}}},"status":"published","readyToDemo":null,"user":{"name":"Oneclick AI Squad","username":"oneclick-ai","bio":"The AI Squad Initiative is a pioneering effort to build, automate and scale AI-powered workflows using n8n.io. Our mission is to help individuals and businesses integrate AI agents seamlessly into their daily operations  from automating tasks and enhancing productivity to creating innovative, intelligent solutions. We design modular, reusable AI workflow templates that empower creators, developers and teams to supercharge their automation with minimal effort and maximum impact.","verified":true,"links":["https://www.oneclickitsolution.com/"],"avatar":"https://gravatar.com/avatar/848fca91367142f65f9e5c55d64e5c9952b160d7b060d103b52aa343c6bc7b3d?r=pg&d=retro&size=200"},"nodes":[{"id":19,"icon":"file:httprequest.svg","name":"n8n-nodes-base.httpRequest","codex":{"data":{"alias":["API","Request","URL","Build","cURL"],"resources":{"generic":[{"url":"https://n8n.io/blog/2021-the-year-to-automate-the-new-you-with-n8n/","icon":"☀️","label":"2021: The Year to Automate the New You with n8n"},{"url":"https://n8n.io/blog/why-business-process-automation-with-n8n-can-change-your-daily-life/","icon":"🧬","label":"Why business process automation with n8n can change your daily life"},{"url":"https://n8n.io/blog/automatically-pulling-and-visualizing-data-with-n8n/","icon":"📈","label":"Automatically pulling and visualizing data with n8n"},{"url":"https://n8n.io/blog/learn-how-to-automatically-cross-post-your-content-with-n8n/","icon":"✍️","label":"Learn how to automatically cross-post your content with n8n"},{"url":"https://n8n.io/blog/automatically-adding-expense-receipts-to-google-sheets-with-telegram-mindee-twilio-and-n8n/","icon":"🧾","label":"Automatically Adding Expense Receipts to Google Sheets with Telegram, Mindee, Twilio, and n8n"},{"url":"https://n8n.io/blog/running-n8n-on-ships-an-interview-with-maranics/","icon":"🛳","label":"Running n8n on ships: An interview with Maranics"},{"url":"https://n8n.io/blog/what-are-apis-how-to-use-them-with-no-code/","icon":" 🪢","label":"What are APIs and how to use them with no code"},{"url":"https://n8n.io/blog/5-tasks-you-can-automate-with-notion-api/","icon":"⚡️","label":"5 tasks you can automate with the new Notion API "},{"url":"https://n8n.io/blog/world-poetry-day-workflow/","icon":"📜","label":"Celebrating World Poetry Day with a daily poem in Telegram"},{"url":"https://n8n.io/blog/automate-google-apps-for-productivity/","icon":"💡","label":"15 Google apps you can combine and automate to increase productivity"},{"url":"https://n8n.io/blog/automate-designs-with-bannerbear-and-n8n/","icon":"🎨","label":"Automate Designs with Bannerbear and n8n"},{"url":"https://n8n.io/blog/how-uproc-scraped-a-multi-page-website-with-a-low-code-workflow/","icon":" 🕸️","label":"How uProc scraped a multi-page website with a low-code workflow"},{"url":"https://n8n.io/blog/building-an-expense-tracking-app-in-10-minutes/","icon":"📱","label":"Building an expense tracking app in 10 minutes"},{"url":"https://n8n.io/blog/5-workflow-automations-for-mattermost-that-we-love-at-n8n/","icon":"🤖","label":"5 workflow automations for Mattermost that we love at n8n"},{"url":"https://n8n.io/blog/how-to-use-the-http-request-node-the-swiss-army-knife-for-workflow-automation/","icon":"🧰","label":"How to use the HTTP Request Node - The Swiss Army Knife for Workflow Automation"},{"url":"https://n8n.io/blog/learn-how-to-use-webhooks-with-mattermost-slash-commands/","icon":"🦄","label":"Learn how to use webhooks with Mattermost slash commands"},{"url":"https://n8n.io/blog/how-a-membership-development-manager-automates-his-work-and-investments/","icon":"📈","label":"How a Membership Development Manager automates his work and investments"},{"url":"https://n8n.io/blog/a-low-code-bitcoin-ticker-built-with-questdb-and-n8n-io/","icon":"📈","label":"A low-code bitcoin ticker built with QuestDB and n8n.io"},{"url":"https://n8n.io/blog/how-to-set-up-a-ci-cd-pipeline-with-no-code/","icon":"🎡","label":"How to set up a no-code CI/CD pipeline with GitHub and TravisCI"},{"url":"https://n8n.io/blog/automations-for-activists/","icon":"✨","label":"How Common Knowledge use workflow automation for activism"},{"url":"https://n8n.io/blog/creating-scheduled-text-affirmations-with-n8n/","icon":"🤟","label":"Creating scheduled text affirmations with n8n"},{"url":"https://n8n.io/blog/how-goomer-automated-their-operations-with-over-200-n8n-workflows/","icon":"🛵","label":"How Goomer automated their operations with over 200 n8n workflows"},{"url":"https://n8n.io/blog/aws-workflow-automation/","label":"7 no-code workflow automations for Amazon Web Services"}],"primaryDocumentation":[{"url":"https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.httprequest/"}]},"categories":["Development","Core Nodes"],"nodeVersion":"1.0","codexVersion":"1.0","subcategories":{"Core Nodes":["Helpers"]}}},"group":"[\"output\"]","defaults":{"name":"HTTP Request","color":"#0004F5"},"iconData":{"type":"file","fileBuffer":"data:image/svg+xml;base64,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"},"displayName":"HTTP Request","typeVersion":4,"nodeCategories":[{"id":5,"name":"Development"},{"id":9,"name":"Core Nodes"}]},{"id":38,"icon":"fa:pen","name":"n8n-nodes-base.set","codex":{"data":{"alias":["Set","JS","JSON","Filter","Transform","Map"],"resources":{"generic":[{"url":"https://n8n.io/blog/learn-to-automate-your-factorys-incident-reporting-a-step-by-step-guide/","icon":"🏭","label":"Learn to Automate Your Factory's Incident Reporting: A Step by Step Guide"},{"url":"https://n8n.io/blog/2021-the-year-to-automate-the-new-you-with-n8n/","icon":"☀️","label":"2021: The Year to Automate the New You with n8n"},{"url":"https://n8n.io/blog/automatically-pulling-and-visualizing-data-with-n8n/","icon":"📈","label":"Automatically pulling and visualizing data with n8n"},{"url":"https://n8n.io/blog/database-monitoring-and-alerting-with-n8n/","icon":"📡","label":"Database Monitoring and Alerting with n8n"},{"url":"https://n8n.io/blog/automatically-adding-expense-receipts-to-google-sheets-with-telegram-mindee-twilio-and-n8n/","icon":"🧾","label":"Automatically Adding Expense Receipts to Google Sheets with Telegram, Mindee, Twilio, and n8n"},{"url":"https://n8n.io/blog/no-code-ecommerce-workflow-automations/","icon":"store","label":"6 e-commerce workflows to power up your Shopify s"},{"url":"https://n8n.io/blog/how-to-build-a-low-code-self-hosted-url-shortener/","icon":"🔗","label":"How to build a low-code, self-hosted URL shortener in 3 steps"},{"url":"https://n8n.io/blog/automate-your-data-processing-pipeline-in-9-steps-with-n8n/","icon":"⚙️","label":"Automate your data processing pipeline in 9 steps"},{"url":"https://n8n.io/blog/how-to-get-started-with-crm-automation-and-no-code-workflow-ideas/","icon":"👥","label":"How to get started with CRM automation (with 3 no-code workflow ideas"},{"url":"https://n8n.io/blog/5-tasks-you-can-automate-with-notion-api/","icon":"⚡️","label":"5 tasks you can automate with the new Notion API "},{"url":"https://n8n.io/blog/automate-google-apps-for-productivity/","icon":"💡","label":"15 Google apps you can combine and automate to increase productivity"},{"url":"https://n8n.io/blog/how-uproc-scraped-a-multi-page-website-with-a-low-code-workflow/","icon":" 🕸️","label":"How uProc scraped a multi-page website with a low-code workflow"},{"url":"https://n8n.io/blog/building-an-expense-tracking-app-in-10-minutes/","icon":"📱","label":"Building an expense tracking app in 10 minutes"},{"url":"https://n8n.io/blog/the-ultimate-guide-to-automate-your-video-collaboration-with-whereby-mattermost-and-n8n/","icon":"📹","label":"The ultimate guide to automate your video collaboration with Whereby, Mattermost, and n8n"},{"url":"https://n8n.io/blog/5-workflow-automations-for-mattermost-that-we-love-at-n8n/","icon":"🤖","label":"5 workflow automations for Mattermost that we love at n8n"},{"url":"https://n8n.io/blog/learn-to-build-powerful-api-endpoints-using-webhooks/","icon":"🧰","label":"Learn to Build Powerful API Endpoints Using Webhooks"},{"url":"https://n8n.io/blog/how-a-membership-development-manager-automates-his-work-and-investments/","icon":"📈","label":"How a Membership Development Manager automates his work and investments"},{"url":"https://n8n.io/blog/a-low-code-bitcoin-ticker-built-with-questdb-and-n8n-io/","icon":"📈","label":"A low-code bitcoin ticker built with QuestDB and n8n.io"},{"url":"https://n8n.io/blog/how-to-set-up-a-ci-cd-pipeline-with-no-code/","icon":"🎡","label":"How to set up a no-code CI/CD pipeline with GitHub and TravisCI"},{"url":"https://n8n.io/blog/benefits-of-automation-and-n8n-an-interview-with-hubspots-hugh-durkin/","icon":"🎖","label":"Benefits of automation and n8n: An interview with HubSpot's Hugh Durkin"},{"url":"https://n8n.io/blog/how-goomer-automated-their-operations-with-over-200-n8n-workflows/","icon":"🛵","label":"How Goomer automated their operations with over 200 n8n workflows"},{"url":"https://n8n.io/blog/aws-workflow-automation/","label":"7 no-code workflow automations for Amazon Web Services"}],"primaryDocumentation":[{"url":"https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.set/"}]},"categories":["Core Nodes"],"nodeVersion":"1.0","codexVersion":"1.0","subcategories":{"Core Nodes":["Data Transformation"]}}},"group":"[\"input\"]","defaults":{"name":"Edit Fields"},"iconData":{"icon":"pen","type":"icon"},"displayName":"Edit Fields (Set)","typeVersion":3,"nodeCategories":[{"id":9,"name":"Core Nodes"}]},{"id":47,"icon":"file:webhook.svg","name":"n8n-nodes-base.webhook","codex":{"data":{"alias":["HTTP","API","Build","WH"],"resources":{"generic":[{"url":"https://n8n.io/blog/learn-how-to-automatically-cross-post-your-content-with-n8n/","icon":"✍️","label":"Learn how to automatically cross-post your content with n8n"},{"url":"https://n8n.io/blog/running-n8n-on-ships-an-interview-with-maranics/","icon":"🛳","label":"Running n8n on ships: An interview with Maranics"},{"url":"https://n8n.io/blog/how-to-build-a-low-code-self-hosted-url-shortener/","icon":"🔗","label":"How to build a low-code, self-hosted URL shortener in 3 steps"},{"url":"https://n8n.io/blog/what-are-apis-how-to-use-them-with-no-code/","icon":" 🪢","label":"What are APIs and how to use them with no code"},{"url":"https://n8n.io/blog/5-tasks-you-can-automate-with-notion-api/","icon":"⚡️","label":"5 tasks you can automate with the new Notion API "},{"url":"https://n8n.io/blog/how-a-digital-strategist-uses-n8n-for-online-marketing/","icon":"💻","label":"How a digital strategist uses n8n for online marketing"},{"url":"https://n8n.io/blog/the-ultimate-guide-to-automate-your-video-collaboration-with-whereby-mattermost-and-n8n/","icon":"📹","label":"The ultimate guide to automate your video collaboration with Whereby, Mattermost, and n8n"},{"url":"https://n8n.io/blog/how-to-automatically-give-kudos-to-contributors-with-github-slack-and-n8n/","icon":"👏","label":"How to automatically give kudos to contributors with GitHub, Slack, and n8n"},{"url":"https://n8n.io/blog/5-workflow-automations-for-mattermost-that-we-love-at-n8n/","icon":"🤖","label":"5 workflow automations for Mattermost that we love at n8n"},{"url":"https://n8n.io/blog/why-this-product-manager-loves-workflow-automation-with-n8n/","icon":"🧠","label":"Why this Product Manager loves workflow automation with n8n"},{"url":"https://n8n.io/blog/creating-custom-incident-response-workflows-with-n8n/","label":"How to automate every step of an incident response workflow"},{"url":"https://n8n.io/blog/learn-to-build-powerful-api-endpoints-using-webhooks/","icon":"🧰","label":"Learn to Build Powerful API Endpoints Using Webhooks"},{"url":"https://n8n.io/blog/learn-how-to-use-webhooks-with-mattermost-slash-commands/","icon":"🦄","label":"Learn how to use webhooks with Mattermost slash commands"},{"url":"https://n8n.io/blog/how-goomer-automated-their-operations-with-over-200-n8n-workflows/","icon":"🛵","label":"How Goomer automated their operations with over 200 n8n workflows"}],"primaryDocumentation":[{"url":"https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.webhook/"}]},"categories":["Development","Core Nodes"],"nodeVersion":"1.0","codexVersion":"1.0","subcategories":{"Core Nodes":["Helpers"]}}},"group":"[\"trigger\"]","defaults":{"name":"Webhook"},"iconData":{"type":"file","fileBuffer":"data:image/svg+xml;base64,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"},"displayName":"Webhook","typeVersion":2,"nodeCategories":[{"id":5,"name":"Development"},{"id":9,"name":"Core Nodes"}]},{"id":535,"icon":"file:webhook.svg","name":"n8n-nodes-base.respondToWebhook","codex":{"data":{"resources":{"primaryDocumentation":[{"url":"https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.respondtowebhook/"}]},"categories":["Core Nodes","Utility"],"nodeVersion":"1.0","codexVersion":"1.0","subcategories":{"Core Nodes":["Helpers"]}}},"group":"[\"transform\"]","defaults":{"name":"Respond to Webhook"},"iconData":{"type":"file","fileBuffer":"data:image/svg+xml;base64,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"},"displayName":"Respond to Webhook","typeVersion":2,"nodeCategories":[{"id":7,"name":"Utility"},{"id":9,"name":"Core Nodes"}]},{"id":565,"icon":"fa:sticky-note","name":"n8n-nodes-base.stickyNote","codex":{"data":{"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"}]}],"categories":[{"id":31,"name":"Content Creation"},{"id":49,"name":"AI Summarization"}],"image":[]}}