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n8n Template Scraper

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n8n Template Scraper

n8n Template Scraper

Developed by

Louis Deconinck

Louis Deconinck

Maintained by Community

Unlock the power of N8N automation with this comprehensive template scraper. Get detailed insights into workflow patterns, usage statistics, and automation configurations. Perfect for developers, automation specialists, and businesses looking to optimize their workflow processes.

3.1 (5)

Pricing

Pay per event

29

Total users

261

Monthly users

96

Runs succeeded

99%

Issues response

0.71 hours

Last modified

16 days ago

This Apify actor scrapes all workflow templates from N8N's template library. It fetches comprehensive information about each template including its configuration, metadata, and usage statistics.

๐ŸŽฏ Use Cases

  • Template Discovery: Find and analyze all available N8N workflow templates
  • Workflow Analysis: Study different automation patterns and node combinations
  • Template Statistics: Track template popularity and usage metrics
  • Category Analysis: Analyze template distribution across different categories

โœจ Features

  • Complete Coverage: Scrapes all templates from the N8N template library
  • Detailed Data: Captures comprehensive template information including configurations and metadata
  • Efficient Pagination: Automatically handles pagination to fetch all available templates
  • Structured Output: Provides well-organized data in a clean JSON format

๐Ÿ“ค Output

The actor stores all template data in a dataset with the following fields:

  • id: Unique identifier of the template
  • name: Name of the template
  • description: Detailed description of what the template does
  • categories: List of categories the template belongs to
  • nodes: Array of nodes used in the workflow
  • totalViews: Number of times the template has been viewed
  • createdAt: Template creation timestamp
  • updatedAt: Last update timestamp
  • type: Type of the template
  • workflow: The workflow JSON if getWorkflows is set to true

Example Output:

{
"id": 2906,
"name": "AI-Powered Crypto Analysis Using OpenRouter, Gemini, and SerpAPI",
"totalViews": 3253,
"price": 25,
"purchaseUrl": "https://uditrawat.gumroad.com/l/ai-powered-crypto-analysis",
"user": {
"id": 92457,
"name": "Udit Rawat",
"username": "ailistmaster",
"bio": "Hi, Iโ€™m Udit, an Acquia-certified developer with a strong background in web development and creating enterprise solutions. Recently, Iโ€™ve transitioned into AI and ML, I hold DIAT Professional AI Certification. I specialize in building AI-driven automation to streamline workflows, improve efficiency, and solve complex problems. With expertise in AI/ML tools and years of experience in Acquia and Drupal, Iโ€™m passionate about leveraging tech to drive innovation and create smarter solutions.",
"verified": true,
"links": "[\"https://x.com/AilistMaster\"]",
"avatar": "https://gravatar.com/avatar/6e96ede8d526c20ff6df15da46bbafb0fbe8862f1e12faa6de21514bb3c641e8?r=pg&d=retro&size=200"
},
"description": "This n8n automation is designed to analyze cryptocurrency trends by extracting, processing, and interpreting candlestick charts using AI-powered agents. The workflow enhances technical analysis by integrating real-time market data, ensuring traders receive accurate and actionable insights.\n\nWorkflow Breakdown:\n\n๐Ÿ”น 1. Chat Node โ€“ Provide Crypto Information\nUsers enter a crypto symbol in the required format (EXCHANGE:SYMBOL), such as BINANCE:BTCUSDT. This ensures the workflow retrieves the correct market data.\n\n๐Ÿ”น Retrieve Daily Candlestick Chart\nOnce the input is received, the workflow fetches the full-day candlestick chart for the selected crypto, providing a macro-level market trend.\n\n๐Ÿ”น AI Agent โ€“ Analyze Daily Chart\nThe first AI agent, powered by Google Gemini 2.0 Flash via OpenRouter, analyzes the daily candlestick pattern to detect trends and potential market signals.\n\n๐Ÿ”น Fetch 5-Minute Candlestick Chart\nTo refine the analysis, the workflow retrieves a 5-minute interval candlestick chart, allowing for real-time market movement evaluation.\n\n๐Ÿ”น AI Agent โ€“ Advanced Candlestick Analysis\nThis AI agent combines the 5-minute chart with the daily analysis to provide an in-depth market prediction. Hereโ€™s where the real magic happensโ€”AI interprets short-term trends in the context of long-term movements.\n\n๐Ÿ”น Shared Windows Buffer โ€“ Store Intermediate Results\nThe Windows Buffer temporarily stores analysis results, ensuring seamless data flow between AI agents for a more structured interpretation.\n\n๐Ÿ”น Serp API โ€“ Retrieve Crypto News\nTo add fundamental analysis, the Serp API tool fetches the latest crypto-related news from the web, providing additional market context.\n\n๐Ÿ”น Chat Window โ€“ Deliver Final Insights\nOnce all data points are processed, the final market analysis is displayed in the chat window, combining technical and fundamental analysis for a more comprehensive trading strategy.\n\nUse Case:\n\nThis automation simplifies crypto market analysis by integrating AI-driven technical and fundamental insights. Itโ€™s ideal for:\n\nโœ… Traders looking for automated market insights\nโœ… Analysts seeking structured candlestick interpretations\nโœ… Developers wanting to integrate AI-powered trading analysis into applications\n\nBy automating candlestick chart analysis, this workflow enhances decision-making and reduces manual effort, making it a valuable tool for anyone involved in cryptocurrency trading.\n\nSetup Instructions:\n\n1๏ธโƒฃ Import the workflow to your n8n instance\n\n2๏ธโƒฃ Prepare & add credentials:\n\nOpenRouter (Google Gemini 2.0 Flash) Get a free API key from https://openrouter.ai/\nSerp API (for news retrieval) Get a free API key from https://serpapi.com/\nChart Img (For candlestick chart) Get a free API key from https://chart-img.com/\n\n3๏ธโƒฃ Run the workflow and get AI-powered crypto insights!\n\nNOTE\nRemember: Not all LLM models are capable of analyzing image data, so choose your model wisely.\n\nLimitations: All free services come with usage limits. For example, OpenRouter has a daily limit, and once it's consumed, the workflow will stop processing further requests.\n\nDisclaimer\nThis workflow is designed purely for educational and research purposes. It does not provide financial advice. ๐Ÿš€",
"createdAt": "2025-02-14T14:17:26.205Z",
"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": "โ˜€๏ธ",
"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": "๐Ÿงฌ",
"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": "๐Ÿ“ˆ",
"label": "Automatically pulling and visualizing data with n8n"
},
{
"url": "https://n8n.io/blog/learn-how-to-automatically-cross-post-your-content-with-n8n/",
"icon": "โœ๏ธ",
"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": "๐Ÿงพ",
"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": "๐Ÿ›ณ",
"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": " ๐Ÿชข",
"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": "โšก๏ธ",
"label": "5 tasks you can automate with the new Notion API "
},
{
"url": "https://n8n.io/blog/world-poetry-day-workflow/",
"icon": "๐Ÿ“œ",
"label": "Celebrating World Poetry Day with a daily poem in Telegram"
},
{
"url": "https://n8n.io/blog/automate-google-apps-for-productivity/",
"icon": "๐Ÿ’ก",
"label": "15 Google apps you can combine and automate to increase productivity"
},
{
"url": "https://n8n.io/blog/automate-designs-with-bannerbear-and-n8n/",
"icon": "๐ŸŽจ",
"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": " ๐Ÿ•ธ๏ธ",
"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": "๐Ÿ“ฑ",
"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": "๐Ÿค–",
"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": "๐Ÿงฐ",
"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": "๐Ÿฆ„",
"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": "๐Ÿ“ˆ",
"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": "๐Ÿ“ˆ",
"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": "๐ŸŽก",
"label": "How to set up a no-code CI/CD pipeline with GitHub and TravisCI"
},
{
"url": "https://n8n.io/blog/automations-for-activists/",
"icon": "โœจ",
"label": "How Common Knowledge use workflow automation for activism"
},
{
"url": "https://n8n.io/blog/creating-scheduled-text-affirmations-with-n8n/",
"icon": "๐ŸคŸ",
"label": "Creating scheduled text affirmations with n8n"
},
{
"url": "https://n8n.io/blog/how-goomer-automated-their-operations-with-over-200-n8n-workflows/",
"icon": "๐Ÿ›ต",
"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": 1119,
"icon": "fa:robot",
"name": "@n8n/n8n-nodes-langchain.agent",
"codex": {
"data": {
"alias": [
"LangChain",
"Chat",
"Conversational",
"Plan and Execute",
"ReAct",
"Tools"
],
"resources": {
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent/"
}
]
},
"categories": [
"AI",
"Langchain"
],
"subcategories": {
"AI": [
"Agents",
"Root Nodes"
]
}
}
},
"group": "[\"transform\"]",
"defaults": {
"name": "AI Agent",
"color": "#404040"
},
"iconData": {
"icon": "robot",
"type": "icon"
},
"displayName": "AI Agent",
"typeVersion": 2,
"nodeCategories": [
{
"id": 25,
"name": "AI"
},
{
"id": 26,
"name": "Langchain"
}
]
},
{
"id": 1163,
"icon": "fa:database",
"name": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"codex": {
"data": {
"resources": {
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.memorybufferwindow/"
}
]
},
"categories": [
"AI",
"Langchain"
],
"subcategories": {
"AI": [
"Memory"
],
"Memory": [
"For beginners"
]
}
}
},
"group": "[\"transform\"]",
"defaults": {
"name": "Simple Memory"
},
"iconData": {
"icon": "database",
"type": "icon"
},
"displayName": "Simple Memory",
"typeVersion": 1,
"nodeCategories": [
{
"id": 25,
"name": "AI"
},
{
"id": 26,
"name": "Langchain"
}
]
},
{
"id": 1199,
"icon": "file:serpApi.svg",
"name": "@n8n/n8n-nodes-langchain.toolSerpApi",
"codex": {
"data": {
"resources": {
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.toolserpapi/"
}
]
},
"categories": [
"AI",
"Langchain"
],
"subcategories": {
"AI": [
"Tools"
],
"Tools": [
"Other Tools"
]
}
}
},
"group": "[\"transform\"]",
"defaults": {
"name": "SerpAPI"
},
"iconData": {
"type": "file",
"fileBuffer": "data:image/svg+xml;base64,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"
},
"displayName": "SerpApi (Google Search)",
"typeVersion": 1,
"nodeCategories": [
{
"id": 25,
"name": "AI"
},
{
"id": 26,
"name": "Langchain"
}
]
}
],
"workflow": {
"id": "SUKhKW8pmzD9tt3F",
"meta": {
"instanceId": "d16fb7d4b3eb9b9d4ad2ee6a7fbae593d73e9715e51f583c2a0e9acd1781c08e",
"templateCredsSetupCompleted": true
},
"name": "Prod: AI-Powered Crypto Analysis Automation",
"tags": [
{
"id": "Gn3tpBR22XFwUwBD",
"name": "Development",
"createdAt": "2024-12-24T14:42:57.431Z",
"updatedAt": "2024-12-24T14:42:57.431Z"
},
{
"id": "XZIQK6NdzGvgbZFd",
"name": "Sell",
"createdAt": "2025-01-15T12:28:48.424Z",
"updatedAt": "2025-01-15T12:28:48.424Z"
}
],
"nodes": [
{
"id": "33e18b30-68f2-46eb-8013-8ebb31d75a0a",
"name": "Provide Crypto Symbol",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
0,
0
],
"webhookId": "35bc81ba-13f5-4e7b-bd07-4e3ebab8fc91",
"parameters": {},
"typeVersion": 1.1
},
{
"id": "b666f4ab-d2c9-43ed-910b-c1fe08098e62",
"name": "5m_Chart",
"type": "n8n-nodes-base.httpRequest",
"notes": "Get 5 min candlestick chart.",
"position": [
100,
380
],
"parameters": {},
"notesInFlow": true,
"typeVersion": 4.2
},
{
"id": "81202928-c363-49c8-932b-3391b44f9b91",
"name": "AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
400,
380
],
"parameters": {},
"typeVersion": 1.7
},
{
"id": "42809cb0-bc31-4398-8ce8-3865cfab1e52",
"name": "Window Buffer Memory",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
-180,
480
],
"parameters": {},
"typeVersion": 1.3
},
{
"id": "e6e101df-7821-4a0b-a865-f4bc7e4c0a5e",
"name": "1d_Chart",
"type": "n8n-nodes-base.httpRequest",
"notes": "Get day candlestick chart.",
"position": [
420,
0
],
"parameters": {},
"notesInFlow": true,
"typeVersion": 4.2
},
{
"id": "a78c495f-9a27-4366-800c-f79992af0b1e",
"name": "OpenRouter Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter",
"position": [
-180,
300
],
"parameters": {},
"typeVersion": 1
},
{
"id": "edb2526c-82a6-4733-b70e-2a4218c9c041",
"name": "crypto_symbol",
"type": "n8n-nodes-base.set",
"notes": "Store value of cryptocurrency.",
"position": [
220,
0
],
"parameters": {},
"notesInFlow": true,
"typeVersion": 3.4
},
{
"id": "69aacc58-ea86-43ec-a9da-88597a29a6eb",
"name": "Long Term Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
620,
0
],
"parameters": {},
"typeVersion": 1.7
},
{
"id": "8584d7a2-2539-4be1-bd06-654964a84364",
"name": "SerpAPI",
"type": "@n8n/n8n-nodes-langchain.toolSerpApi",
"position": [
560,
560
],
"parameters": {},
"typeVersion": 1
},
{
"id": "4f6cbec5-6807-45f0-bf53-80bd5b8763e2",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-200,
-100
],
"parameters": {
"content": ""
},
"typeVersion": 1
},
{
"id": "bdc253aa-d769-40ce-9862-37b205e03826",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
0,
220
],
"parameters": {
"content": ""
},
"typeVersion": 1
},
{
"id": "0d1b9d8d-dbc3-4a3b-b19f-63bdc65f72ba",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-620,
-100
],
"parameters": {
"content": ""
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "16df2176-07d5-413f-a918-f59b60727b00",
"connections": {
"SerpAPI": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"1d_Chart": {
"main": [
[
{
"node": "Long Term Agent",
"type": "main",
"index": 0
}
]
]
},
"5m_Chart": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"crypto_symbol": {
"main": [
[
{
"node": "1d_Chart",
"type": "main",
"index": 0
}
]
]
},
"Long Term Agent": {
"main": [
[
{
"node": "5m_Chart",
"type": "main",
"index": 0
}
]
]
},
"Window Buffer Memory": {
"ai_memory": [
[
{
"node": "Long Term Agent",
"type": "ai_memory",
"index": 0
},
{
"node": "AI Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"OpenRouter Chat Model": {
"ai_languageModel": [
[
{
"node": "Long Term Agent",
"type": "ai_languageModel",
"index": 0
},
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Provide Crypto Symbol": {
"main": [
[
{
"node": "crypto_symbol",
"type": "main",
"index": 0
}
]
]
}
}
}
}

๐Ÿ“ฅ Input

This actor has an optional input parameter getWorkflows which is set to true by default. It will automatically scrape all available templates from the N8N template library.

๐Ÿš€ Usage

  1. Start the Actor: Click the "Start" button to begin the scraping process
  2. Wait for Results: The actor will automatically fetch all templates
  3. Download Data: Once complete, download the results in JSON or CSV format

๐Ÿ”Œ Integrations

Make.com Integration: Apify Actors can be easily integrated with other platforms and services using tools like Make. This allows you to automate workflows and connect your scraped data to various applications. For example, you can automatically send data to a Google Sheet, trigger email notifications, or update a CRM system whenever the Actor finishes running and produces new results.

Gmail Integration: You can also integrate Apify Actors with Gmail through Google Workspace to automate email workflows. For instance, you can set up automated email notifications with scraped data or send personalized emails based on the extracted information.

๐ŸŒŸ Start for Free

Ready to dive in? Click the "Try for free" button to start using the Actor. Apify provides a seamless platform to run and manage your web scraping and automation tasks. Apify is a cloud-based platform that allows you to easily run and manage your web scraping and automation tasks. Here are a few reasons why Apify is a great choice:

  • Scalability: Apify allows you to scale your web scraping and automation tasks easily.
  • Reliability: Apify is a reliable platform that ensures your web scraping and automation tasks run smoothly.
  • Integration: Apify integrates with other tools and platforms, such as Make and Gmail, to automate your workflows.
  • Ease of Use: Apify is easy to use, even for those with no prior experience in web scraping and automation.

๐Ÿ” More Scraping Solutions

Looking for more specialized data extraction? Check out my other scrapers on my Apify profile. My scrapers are designed for:

  • Efficiency: Optimized for speed and minimal resource usage.
  • Reliability: Built to handle website changes and prevent errors.
  • Customization: Easily adaptable to your specific data needs.

๐Ÿ› ๏ธ Custom Scraper Development

Need a custom scraper tailored to your unique requirements? I'm available for hire to develop bespoke web scraping solutions. Contact me to discuss your project.