Workflow Templates

This template can be used to find the content gaps in PDF documents using the InfraNodus knowledge graph / GraphRAG text representation and then generate ideas / questions / AI prompts that bridge those gaps based on optimizing the knowledge graph's structure. Simply upload several PDF files (research papers, corporate or market reports, etc) and generate an idea in seconds. The template is useful for: generating ideas / questions for research generating content ideas based on competitors' discourse finding blind spots in any discourse and generating ideas that address them. avoiding the generic bias of LLM models and focusing on what's important in your particular context What are Content Gaps and Knowledge Graphs? Knowledge graphs represent any text as a network: the main concepts are the nodes, their co-occurrences are the connections between them. Based on this representation, we build a graph and apply network science metrics to rank the most important nodes (concepts) that serve as the crossroads of meaning and also the main topical clusters that they connect. Naturally, some of the clusters will be disconnected and will have gaps between them. These are the topics (groups of concepts) that exist in this context (the documents you uploaded) but that are not very well connected. Addressing those gaps can help you see which groups of concepts you could connect with your own ideas. This is exactly what InfraNodus does: builds the structure, finds the gaps, then uses the built-in AI to generate research questions and ideas that bridge those gaps. How it works 1) Step 1: First, you upload your PDF files using an online web form, which you can run from n8n or even make publicly available. 2) Steps 2-4: The documents are processed using the Code and PDF to Text nodes to extract plain text from them. 3) Step 5: This text is then sent to the InfraNodus GraphRAG node that creates a knowledge graph, identifies structural gaps in this graph, and then uses built-in AI to generate ideas or research questions / prompts (if you use the InfraNodus question module instead). 4) Step 6: The ideas are then shown to the user in the same web form. Optionally, you can hook this template to your own workflow and send the idea / question generated to your own AI model / agent for further processing. If you'd like to sync this workflow to PDF files in a Google Drive folder, you can copy our Google Drive PDF processing workflow for n8n. How to use You need an InfraNodus GraphRAG API account and key to use this workflow. Create an InfraNodus account Get the API key at https://infranodus.com/api-access and create a Bearer authorization key. Add this key into the InfraNodus GraphRAG HTTP node(s) you use in this workflow. You do not need any OpenAI keys for this to work. Optionally, you can change the settings in the Step 4 of this workflow and enforce it to always use the biggest gap it identifies. Requirements An InfraNodus account and API key Note: OpenAI key is not required. You will have direct access to the InfraNodus AI with the API key. Customizing this workflow You can use this same workflow with a Telegram bot or Slack (to be notified of the summaries and ideas). You can also hook up automated social media content creation workflows in the end of this template, so you can generate posts that are relevant (covering the important topics in your niche) but also novel (because they connect them in a new way). Check out our n8n templates for ideas at https://n8n.io/creators/infranodus/ Also check the full tutorial with a conceptual explanation at https://support.noduslabs.com/hc/en-us/articles/20454382597916-Beat-Your-Competition-Target-Their-Content-Gaps-with-this-n8n-Automation-Workflow Also check out the video introduction to InfraNodus to better understand how knowledge graphs and content gaps work: For support and help with this workflow, please, contact us at https://support.noduslabs.com

🎯 JavaScript Master Class - Interactive Code Tutorial 📚 How It Works This tutorial is designed as a self-paced learning experience where you explore working JavaScript code examples. Unlike traditional tutorials, you learn by examining real implementations and understanding how they work. 🔍 The Learning Method: Execute first - See the workflow in action Open each node - This is where the real learning happens! Study the code - Read JavaScript implementations and comments Understand the flow - See how data transforms between nodes Experiment - Modify code to test your understanding 🎮 The "Game" Concept: It's not a real game - it's a gamified learning experience Uses RPG elements (XP, levels, achievements) to make learning engaging Simulates progression through 3 difficulty levels Main learning happens when you open nodes and read the code!** 🚀 Setup Steps Step 1: Import the Template Copy the JSON template provided Open your n8n instance Create a new workflow Press Ctrl+A (or Cmd+A on Mac) to select all Press Ctrl+V (or Cmd+V) to paste the JSON Click "Save" and name it: JavaScript Master Class - Interactive Tutorial Step 2: Execute the Workflow Click "Test workflow" or "Execute workflow" Watch it run through all nodes automatically See the final results and progression simulation Step 3: Start Learning (The Important Part!) Now the real learning begins - you must open each node manually: 🔍 For Each Code Node: Double-click the node to open it Read the JavaScript code carefully Study the comments - they explain key concepts Understand the logic - how input becomes output Note the techniques used in each challenge 📖 For Each Sticky Note: Read the explanations and context Understand the learning objectives Note the skills being taught 🎯 Learning Path Level 1: Data Warrior (Beginner) 📂 Open Node: 🎲 Level 1: Data Warrior Focus:** Data deduplication using filter() and findIndex() Key Skills:** Array methods, duplicate detection What to Study:** How the deduplication algorithm works Level 2: API Ninja (Intermediate) 📂 Open Node: ⚔️ Level 2: API Ninja Focus:** Data transformation and validation Key Skills:** String manipulation, validation logic, error handling What to Study:** How to clean and validate messy API data Level 3: Automation Master (Advanced) 📂 Open Node: 🏆 Final Boss: Automation Master Focus:** Complex workflow processing Key Skills:** Task orchestration, priority sorting, error handling What to Study:** How to build robust automation systems 💡 Learning Tips 🔍 Active Exploration: Don't just run it** - open every single node! Read all comments** - they contain key insights Compare approaches** - see how complexity increases Try modifications** - change values and see what happens 📝 Study Techniques: Take notes** on patterns you see Copy interesting code** snippets for reference Try to explain** each function to yourself Test your understanding** by modifying the code 🧪 Experimentation: Change filter conditions** in Level 1 Modify validation rules** in Level 2 Adjust workflow logic** in Level 3 Break something** and fix it - great for learning! ⚠️ Important Notes 🎮 "Game" Reality Check: This is NOT an interactive game where you make choices It's a code tutorial with game-like progression themes The "game" runs automatically when executed Real learning happens when you manually open and study each node** 📚 Educational Value: Primary learning:** Understanding JavaScript implementations Secondary learning:** n8n workflow patterns Bonus learning:** Problem-solving approaches 🔧 Technical Requirements: Working n8n instance Basic JavaScript knowledge helpful but not required Willingness to explore and experiment 🎯 Success Metrics You'll know you're learning when you can: ✅ Explain how each deduplication algorithm works ✅ Identify the validation patterns used ✅ Understand the workflow orchestration logic ✅ Modify the code to handle different scenarios ✅ Apply these patterns to your own projects 🤔 Next Steps After completing this tutorial: Apply the patterns to your own workflows Experiment with variations Build something using these techniques Share your learnings with the community Remember: The magic happens when you open each node and study the code! 🔍

Introduction The "High-Level Service Page SEO Blueprint Report" workflow is a powerful, AI-driven solution designed to generate comprehensive SEO content strategies for service-based businesses. By analyzing competitor websites and user intent, this workflow creates a detailed blueprint that outlines the optimal structure, content, and conversion elements for a service page. The workflow leverages the JINA Reader API to extract content from competitor websites and uses Google Gemini AI to perform deep analysis across multiple dimensions: competitor content structure, user intent, strategic opportunities, and conversion optimization. The final output is a professionally formatted Markdown document that provides actionable guidance for creating a high-performing service page that satisfies both user needs and search engine requirements. This workflow eliminates the time-consuming process of manually analyzing competitors and developing content strategies, providing a data-driven foundation for service page creation that would typically require hours of expert analysis. Who is this for? This workflow is designed for digital marketers, SEO specialists, content strategists, and web developers who need to create or optimize service pages for businesses. It's particularly valuable for marketing agencies and freelancers who regularly develop content strategies for clients across various industries. Users should have a basic understanding of SEO concepts, content marketing, and website structure. While technical SEO knowledge is beneficial, the workflow is designed to provide comprehensive guidance even for those with intermediate-level expertise. The ideal user is someone who wants to streamline their content planning process and ensure their service pages are built on data-driven insights rather than guesswork. What problem is this workflow solving? Creating effective service pages that rank well in search engines while converting visitors is a complex challenge that typically requires extensive competitive research, content planning, and conversion optimization expertise. This workflow addresses several key pain points: Time-consuming competitor analysis: Manually analyzing multiple competitor websites to identify content patterns, heading structures, and meta tag strategies can take hours. Difficulty identifying content gaps: Determining what topics competitors are missing that could provide a competitive advantage requires deep analysis and industry knowledge. Balancing SEO and conversion elements: Creating content that satisfies both search engines and user needs while driving conversions is a delicate balance that many struggle to achieve. Lack of structured approach: Many content creators work without a comprehensive blueprint, leading to inconsistent results and missed opportunities. Difficulty translating analysis into actionable recommendations: Even when analysis is performed, turning those insights into a concrete content plan can be challenging. This workflow automates these processes, providing a structured, data-driven approach to service page creation that saves hours of research and planning time. What this workflow does Overview The workflow takes a list of competitor URLs and a target keyword as input, then performs a multi-stage analysis to generate a comprehensive service page blueprint. It extracts and analyzes competitor content, evaluates user intent, identifies strategic opportunities, and creates detailed recommendations for page structure, content, and conversion elements. The final output is a professionally formatted Markdown document that serves as a complete roadmap for creating an effective service page. Process Data Collection: The workflow begins with a form that collects essential information: competitor URLs, target keyword, services offered, brand name, and whether the page is a homepage. Competitor Content Extraction: The workflow processes each competitor URL, using the JINA Reader API to extract the HTML content from each site. Content Structure Analysis: For each competitor site, the workflow extracts and analyzes heading structures, meta tags, schema markup, and recurring phrases (n-grams). Competitor Analysis Report: The AI synthesizes the competitive data to identify patterns in meta titles/descriptions, common outline sections, key heading concepts, and structural elements. User Intent Analysis: The workflow analyzes the target keyword to determine primary and secondary user intents, user personas, and their position in the buyer's journey. Gap Analysis: The AI identifies content overlaps ("table stakes"), content gaps (opportunities), SEO keyword priorities, and potential UX/conversion advantages. Page Outline Generation: Based on the previous analyses, the workflow creates an optimal page structure with H1, H2s, H3s, and potentially H4s, with justifications for each section. UX & Conversion Recommendations: The workflow adds detailed recommendations for calls-to-action, trust signals, copywriting tone, visual elements, and risk reversal strategies. Final Blueprint Creation: All analyses and recommendations are compiled into a comprehensive, well-structured Markdown document that serves as a complete service page blueprint. Setup Download or import the "High-Level Service Page SEO Blueprint Report" workflow JSON file into your n8n instance. Create a JINA Reader API key by visiting https://jina.ai/api-dashboard/key-manager. You can claim a free API key that allows up to 1 million tokens. Set up Google Gemini (PaLM) credentials by following the guide at https://docs.n8n.io/integrations/builtin/credentials/googleai/#using-geminipalm-api-key. Update the "Edit Fields" node with: Your JINA Reader API Key Adjust the "Waiting Time" to 20 seconds if using the free Google Gemini API tier (which limits to 5 requests per minute) Optionally change the Gemini model if needed Activate the workflow and start the form trigger. Complete the form with: Competitors (up to 5 direct competitor URLs) Target Keyword (the query related to your service) Services Offered (details of your complete service offerings) Brand Name (your company name) Whether the page is a homepage After processing, download the generated .txt file, which contains the blueprint in Markdown format. How to customize this workflow to your needs Adjust AI parameters: Modify the temperature settings in the Google Gemini Chat Model nodes to control creativity vs. precision in the AI outputs. Customize extraction logic: Edit the "Extract HTML Elements" code node to focus on specific HTML elements that are most relevant to your industry or content type. Modify analysis prompts: Customize the prompts in the various analysis nodes to focus on specific aspects of SEO or content strategy that are most important for your use case. Add industry-specific guidance: Enhance the prompts with industry-specific instructions or examples to make the output more relevant to particular sectors. Integrate with content management systems: Extend the workflow to automatically send the blueprint to content management systems, project management tools, or document storage platforms. Add competitor scoring: Implement a scoring system to evaluate and rank competitors based on specific criteria relevant to your strategy. Expand the analysis: Add additional analysis nodes to evaluate other aspects of competitor websites, such as page speed, mobile-friendliness, or backlink profiles.

Description This workflow automates your email communication by listening for incoming emails and notifying you via Telegram. It then prompts you to provide a quick response, which it transforms into a polished, professional message inspired by Chick-fil-A’s renowned customer support style—super friendly, thoughtful, and smooth. This ensures your replies always sound top-notch, even if you’re not naturally great at writing customer messages. I use this exact flow for my own business to handle customer interactions with ease and exceptional care. Step-by-Step Setup Instructions 1. Email Connection Connect your email inbox (e.g., Gmail, Outlook) to the workflow to monitor incoming emails. Set the trigger to listen for new messages or specific labels/folders as needed. 2. Telegram Connection Connect your Telegram account using a Telegram Bot token. Configure the bot to send notifications when a new email arrives and to receive your reply input directly in Telegram. 3. OpenAI Connection Connect your OpenAI account by adding your API key. Use OpenAI to rephrase your raw responses into highly polished, friendly customer support messages. Workflow Description The system continuously monitors your email inbox. When a new email arrives, you receive an instant Telegram notification with the email summary. You reply quickly on Telegram with your initial thoughts or answers. The reply is sent to OpenAI, which “translates” it into a Chick-fil-A style, ultra-courteous response. The final message is either emailed back to the customer or saved for you to review and send manually. Target Audience and Problem Solved This workflow is perfect for: Small business owners who handle customer support alone. Entrepreneurs who want to maintain a high level of professionalism in their responses but struggle with wording. Teams looking to streamline email replies with fast, human-like, and warm communication. Problem solved: It removes the stress of crafting perfectly polite and engaging customer support emails from scratch, saving time and boosting customer satisfaction. Customization Guidance Adapting tone and style:** Change the OpenAI prompt to match your brand voice, whether more formal, casual, or playful. Different business contexts:** Adjust email filters or Telegram notifications to prioritize specific types of inquiries. Response automation:** Add extra steps to automatically send replies or integrate with CRM tools. Multilingual support:** Incorporate language detection and translation if your business serves customers in multiple languages.

This template can be used to generate research ideas from PDF scientific papers based on the content gaps found in text using the InfraNodus knowledge graph GraphRAG knowledge graph representation. Simply upload several PDF files (research papers, corporate or market reports, etc) and the template will generate a research question, which will then be sent as an AI prompt to the InfraNodus GraphRAG system that will extract the answer from the documents. As a result, you find the gap in a collection of research papers and bridge it in a few seconds . The template is useful for: advancing scientific research generating AI prompts that drive research further finding the right questions to ask to bridge blind spots in a research field avoiding the generic bias of LLM models and focusing on what's important in your particular context Using Content Gaps for Generating Research Questions Knowledge graphs represent any text as a network: the main concepts are the nodes, their co-occurrences are the connections between them. Based on this representation, we build a graph and apply network science metrics to rank the most important nodes (concepts) that serve as the crossroads of meaning and also the main topical clusters that they connect. Naturally, some of the clusters will be disconnected and will have gaps between them. These are the topics (groups of concepts) that exist in this context (the documents you uploaded) but that are not very well connected. Addressing those gaps can help you see which groups of concepts you could connect with your own ideas. This is exactly what InfraNodus does: builds the structure, finds the gaps, then uses the built-in AI to generate research questions that bridge those gaps. How it works 1) Step 1: First, you upload your PDF files using an online web form, which you can run from n8n or even make publicly available. 2) Steps 2-4: The documents are processed using the Code and PDF to Text nodes to extract plain text from them. 3) Step 5: This text is then sent to the InfraNodus GraphRAG node that creates a knowledge graph, identifies structural gaps in this graph, and then uses built-in AI to research questions, which are then used as AI prompts. 4) Step 6: The research questino is sent to the InfraNodus GraphRAG system that represents the PDF documents you submitted as a knowledge graph and then uses the research question generated to come up with an answer based on the content you uploaded. 4) Step 7: The ideas are then shown to the user in the same web form. Optionally, you can derive the answers from a different set of papers, so the question is generated from one batch, but the answer is generated from another. If you'd like to sync this workflow to PDF files in a Google Drive folder, you can copy our Google Drive PDF processing workflow for n8n. How to use You need an InfraNodus GraphRAG API account and key to use this workflow. Create an InfraNodus account Get the API key at https://infranodus.com/api-access and create a Bearer authorization key. Add this key into the InfraNodus GraphRAG HTTP node(s) you use in this workflow. You do not need any OpenAI keys for this to work. Optionally, you can change the settings in the Step 4 of this workflow and enforce it to always use the biggest gap it identifies. Requirements An InfraNodus account and API key Note: OpenAI key is not required. You will have direct access to the InfraNodus AI with the API key. Customizing this workflow You can use this same workflow with a Telegram bot or Slack (to be notified of the summaries and ideas). You can also hook up automated social media content creation workflows in the end of this template, so you can generate posts that are relevant (covering the important topics in your niche) but also novel (because they connect them in a new way). Check out our n8n templates for ideas at https://n8n.io/creators/infranodus/ Also check the full tutorial with a conceptual explanation at https://support.noduslabs.com/hc/en-us/articles/20454382597916-Beat-Your-Competition-Target-Their-Content-Gaps-with-this-n8n-Automation-Workflow Also check out the video introduction to InfraNodus to better understand how knowledge graphs and content gaps work: For support and help with this workflow, please, contact us at https://support.noduslabs.com

Generate & Schedule Social Media Posts with GPT-4 and Telegram Approval Workflow This comprehensive content automation system features 23 nodes that seamlessly orchestrate AI-powered content creation, validation, and multi-platform publishing through Telegram interaction. It supports posting to major platforms like Twitter, LinkedIn, Facebook, Instagram, and more via the Upload-Post API. Core Components Telegram Integration: Bidirectional messaging with approval workflows and real-time notifications. AI Content Engine: Configurable language models (GPT-4, Claude, etc.) via OpenRouter with structured output parsing. Content Validation: Character count enforcement (240-265), format checking, and quality threshold monitoring. Multi-Platform Publishing: Post on any social media platform with Upload-Post API - better and easier to use than Blotato, with a dedicated n8n community node. Approval System: Preview and approve/reject functionality before content goes live. Web Research: Optional Tavily integration for real-time information gathering. Target Users Content creators seeking consistent social media presence. Digital marketers managing multiple brand accounts. Entrepreneurs wanting automated thought leadership. Agencies needing scalable content solutions. Small businesses without dedicated social media teams. Setup Requirements To get started, you'll need: Telegram Bot: Create via @BotFather and configure webhook. Required APIs: OpenRouter (for AI model access). Upload-Post API (superior alternative to Blotato with community node support). Tavily API (optional for research). n8n Prerequisites: Version 1.7+ with Langchain nodes. Webhook configuration enabled. Proper credential storage setup. Disclaimer: This template uses community-supported nodes, such as the Upload-Post API node. These may require additional setup and could change with n8n updates. Always verify compatibility and test in a safe environment. Step-by-Step Setup Guide Install n8n: Ensure you're running n8n version 1.7 or higher. Enable webhook configurations in your settings. Set Up Credentials: In n8n, add credentials for OpenRouter, Upload-Post API, and optionally Tavily. Store them securely. Create Telegram Bot: Go to Telegram, search for @BotFather, and create a new bot. Note the token and set up a webhook pointing to your n8n instance. Import the Workflow: Copy the workflow JSON (available in the template submission) and import it into your n8n dashboard. Configure Nodes: Set your AI model preferences in the OpenRouter node. Link your social media accounts via the Upload-Post API node. Adjust validation settings (e.g., character limits, retry attempts) as needed. Test the Workflow: Trigger a test run via Telegram by sending a content request. Approve or reject the preview, and monitor the output. Schedule or Automate: Use n8n's scheduling features for automated triggers, or run manually for on-demand posts. Usage Instructions Initiate via Telegram: Send a message to your bot with a topic or prompt (e.g., "Create a post about AI automation for entrepreneurs"). AI Generation: The system generates content using your chosen model, with optional web research. Validation Check: Content is automatically validated for length, quality (70% pass threshold), and format. Approval Workflow: Receive a preview in Telegram. Reply with "approve" to post, or "reject" to retry (up to 3 attempts). Publishing: Approved content posts to your selected platforms. Get notifications on success or errors. Customization: Adapt for single posts, 3-6 post threads, or different tones (business, creative, educational, personal, technical). Use scheduling for consistent posting. Workflow Features Universal Platform Support: Post to any social media platform via Upload-Post API. Scheduling Flexibility: Automated triggers or manual execution. Content Types: Single posts or multi-post threads. Quality Control: 30% error tolerance with detailed validation reporting. Character Optimization: Enforced 240-265 character range for maximum engagement. Topic Versatility: Adapts tone and style based on content type. Error Handling: Comprehensive validation with helpful user feedback. Performance Specifications: AI retry attempts: 3 for reliability. Validation threshold: 70% pass rate. Format support: Single posts and 3-6 post threads. Platform coverage: Any social media platform through Upload-Post API. Research capability: Optional web search for trending topics. Why Upload-Post API? Community-supported n8n node for easier integration. More reliable and feature-rich than Blotato. Supports all major social platforms. Active development and support. Workflow Image Need help customizing this workflow for your specific use case, Femi? As a fellow entrepreneur passionate about automation and business development, I'd be happy to consult. Connect with me on LinkedIn: https://www.linkedin.com/in/femi-adedayo-h44/ or email for support. Let's make your AI automation agency even more efficient!

UptimeRobot Alerts to Telegram with Visual Verification Automatically sends Telegram notifications with optional screenshots when monitors change status (✅ UP/🔴 DOWN/⏸️ PAUSED) Example Message in Telegram: Who Is This For? Teams or individuals needing to: Get alerts when websites/services go down Verify outages with visual screenshots Monitor infrastructure from Telegram What Does This Workflow Solve? 🚨 Missed Alerts: Get immediate notifications in Telegram 🖼️ Visual Verification: Optional screenshot confirmation of outages 📊 Status Tracking: Clear records of when issues began/resolved 🔗 One-Click Access: Direct links to affected monitors ⏱️ Time Savings: No need to check dashboards manually Setup Guide 1. Pre-Requisites UptimeRobot Account**: With at least one monitor configured Gmail Account**: To receive alert notifications Telegram Account**: To receive alerts (mobile/desktop app recommended) (Optional) ScreenshotMachine free/paid account 2. Credentials Setup Make sure your n8n instance is connected with: Gmail Account** (via OAuth2) UptimeRobot API** (via API key) Telegram Bot** (via bot token) (Optional) ScreenshotMachine (via customer key) 3. Configure Your n8n Workflow Nodes 1. Alert Trigger Gmail Trigger**: Configure to watch for emails from alert@uptimerobot.com Set appropriate polling interval (e.g., every 5 minutes) 2. Monitor Configuration Conf Node**: Set your preferences: { "take_screenshot": true, "screenshotmachine_secret": "your-secret-here", "screenshotmachine_device": "desktop", "screenshotmachine_dimension": "1366xfull", "screenshotmachine_format": "png" } 3. Notification Settings Telegram Nodes**: Set your Chat ID (find with @getidsbot) Customize message formatting if needed 4. Service-Specific Setup UptimeRobot: Go to Dashboard → My Settings → API Settings Create API key with "Monitor Read" permissions Enable email alerts in monitor settings Telegram Bot: Message @BotFather to create new bot Get your Chat ID using @getidsbot Add bot token to n8n credentials ScreenshotMachine (Optional): Sign up at screenshotmachine.com Get Customer Key from account dashboard Set your secret phrase if using hash verification Final Steps Test your workflow by manually triggering a monitor status change Verify Telegram notifications arrive as expected Check screenshot quality if enabled Monitor for a few days to fine-tune alert preferences Happy Monitoring!

Use Case Turn any web page into a compelling LinkedIn post — complete with an AI-generated image. This automation is ideal for sharing content like blog posts, case studies, or product updates in a polished and engaging format. What This Automation Does Given a page URL and optional user instructions, this automation: Scrapes the content of the webpage Uses AI to write a clear, educational, and LinkedIn-optimized post Generates a brand-aligned visual that matches the content Sends both to Slack for review and approval Handles feedback and revisions via Slack interactions Input: Page URL** — The link to the webpage (required) Instructions** — Optional notes on tone, emphasis, or format Output: LinkedIn post text AI-generated visual prompt and image Slack message with review/approval options How It Works Form Submission: User inputs a web page and optional instructions. Web Scraping: Uses Airtop to extract page content. Post Generation: AI agent writes a post based on the page and instructions. Visual Generation: Another AI model creates an image prompt; this is sent to a sub-workflow for image rendering. Slack Review Flow: Post and image sent to Slack for feedback User can approve, request revisions, or decline Revisions trigger reprocessing steps automatically Final Post Delivery: Approved post and image are sent back to Slack, ready to publish. Setup Requirements Airtop API key OpenAI credentials for post and image prompt generation Slack OAuth integration with a review channel A sub-workflow for branded image generation Next Steps Post Directly**: Add LinkedIn publishing to automate the full content workflow. Template Variations**: Offer post style presets (e.g., technical, story-driven, short-form). CRM Sync**: Save approved posts and stats in Airtable or Notion for team use. Read more about content generation with Airtop

Who's it for Content creators, researchers, educators, and digital marketers who need to discover high-quality YouTube training videos on specific topics. Perfect for building curated learning resource lists, competitive research, or content inspiration. What it does This workflow automatically searches YouTube using multiple search queries, filters for quality content, scores videos by relevance, and exports the top results to Google Sheets. It processes hundreds of videos and delivers only the most valuable educational content ranked by custom relevance criteria. The workflow searches for videos using 10 different AI automation-related queries (easily customizable), filters out low-quality content like shorts and clickbait, then ranks results based on title keywords, view counts, and engagement metrics. How it works Multi-query search: Searches YouTube with an array of related queries to get comprehensive coverage Content filtering: Removes shorts, spam, and low-quality videos using regex patterns Quality assessment: Filters videos based on view count, likes, and publication date Relevance scoring: Assigns scores based on title keywords and engagement metrics Result ranking: Sorts videos by relevance score and limits to top 50 results Export to Sheets: Delivers clean, organized data to Google Sheets with all metadata Requirements YouTube Data API v3 credentials from Google Cloud Console Google Sheets credentials for n8n workspace A Google Sheets document to receive the results How to set up Enable YouTube Data API v3 in your Google Cloud Console Add YouTube OAuth2 credentials to your n8n workspace Add Google Sheets credentials to your n8n workspace Create a Google Sheet and update the Google Sheets node with your document ID Customize search queries in the "Set Query" node for your topic Adjust filtering criteria in the Filter nodes based on your quality requirements How to customize the workflow Search topics: Modify the query array in the "Set Query" node to research any topic: [ "Python tutorial", "JavaScript course", "React beginner guide", // Add your queries here ] Quality thresholds: Adjust minimum views, likes, and date ranges in the "Filter for Quality" node Relevance scoring: Customize keyword weightings in the "Relevance Score" node to match your priorities Result limits: Change the number of final results in the "Limit" node (default: 50) Output format: Modify the "Set Fields" node to include additional YouTube metadata like duration, thumbnails, or category information The workflow is designed to be easily adaptable for any research topic while maintaining high content quality standards.

✅ What problem does this workflow solve? If you're using a self-hosted n8n instance, there's no built-in version history or undo for your workflows. If a workflow is accidentally modified or deleted, there's no way to roll back. This backup workflow solves that problem by automatically syncing your workflows to Google Drive, giving you version control and peace of mind. ⚙️ What does this workflow do? ⏱ Runs on a set schedule (e.g., daily or every 12 hours). 🔍 Fetches all workflows from your self-hosted n8n instance. 🧠 Detects changes to avoid duplicate backups. 📁 Creates a dedicated folder for each workflow in Google Drive. 💾 Uploads new or updated workflow files in JSON format. 🗃️ Keeps backup history organized by date. 🔄 Allows for easy restore by importing backed-up JSON into n8n. 🔧 Setup Instructions 1. Google Drive Setup Connect your Google Drive account using the Google Drive node in n8n. Choose or create a root folder (e.g., n8n-workflow-backups) where backups will be stored. 2. n8n API Credentials Generate a Personal Access Token from your self-hosted n8n instance: Go to Settings → API in your n8n dashboard. Copy the token and use it in the HTTP Request node headers as: Authorization: Bearer <your_token> 3. Schedule the Workflow Use the Cron node to schedule this workflow to run at your desired frequency (e.g., once a day or every 12 hours). 🧠 How it Works Step-by-Step Flow: Scheduled Trigger The workflow begins on a timed schedule using the Cron node. Fetch All Workflows Uses the n8n API (/workflows) to retrieve a list of all existing workflows. Loop Through Workflows For each workflow: A folder is created in Google Drive using the workflow name. The workflow’s last updated timestamp is checked against Google Drive backups. Smart Change Detection If the workflow has changed since the last backup: A new .json file is uploaded to the corresponding folder. The file is named with the last updated date of the workflow (YYYY-MM-DD-HH-mm-ss.json) to maintain a versioned history. If no change is detected, the workflow is skipped. 🗂 Google Drive Folder Organization Backups are neatly organized by workflow and version: /n8n-workflow-backups/ ├── google-drive-backup-KqhdMBHIyAaE7p7v/ │ ├── 2025-07-15-13-03-32.json │ ├── 2025-07-14-03-08-12.json ├── resume-video-avatar-KqhdMBHIyAaE8p8vr/ │ ├── 2025-07-15-23-05-52.json Each folder is named after the workflow's name+id and contains timestamped versions. 🔧 Customization Options 📅 Change Backup Frequency Adjust the Cron node to run backups daily, weekly, or even hourly based on your needs. 📤 Use a Different Storage Provider You can swap out Google Drive for Dropbox, S3, or another cloud provider with minimal changes. 🧪 Add Workflow Filtering Only back up workflows that are active or match specific tags by filtering results from the n8n API. ♻️ How to Restore a Workflow from Backup Go to the Google Drive backup folder for the workflow you want to restore. Download the desired .json file (based on the date). Open your self-hosted n8n instance. Click Import Workflow from the sidebar menu. Upload the JSON file to restore the workflow. > You can choose to overwrite an existing workflow or import it as a new one. 👤 Who can use this? This template is ideal for: 🧑‍💻 Developers running self-hosted n8n 🏢 Teams managing large workflow libraries 🔐 Anyone needing workflow versioning, rollback, or disaster recovery 💾 Productivity enthusiasts looking for automated backups 📣 Tip Consider enabling version history in Google Drive so you get even more fine-grained backup recovery options on top of what this workflow provides! 🚀 Ready to use? Just plug in your n8n token, connect Google Drive, and schedule your backups. Your workflows are now protected!

Automated AI Content Publisher This n8n workflow is your all-in-one solution for automated content creation and publishing. It intelligently crafts unique articles in Thai, generates captivating AI images, and seamlessly publishes them to your website while notifying you via Telegram. Say goodbye to manual content pipelines and hello to effortless, AI-driven publishing. How It Works This workflow kicks off when new news data hits your designated Google Sheet, then it springs into action: Smart Image Selection: An AI analyzes your news content to decide if a general photorealistic image or a more artistic, risoprint-style AI image is the best fit. Article Generation: Another AI drafts a high-quality, long-form article in flawless Thai, adapting its format (listicle or analytical) to perfectly suit the topic. SEO & Marketing Boost: A specialized AI then optimizes your content by generating concise titles, engaging excerpts, and relevant tags in both Thai and English. It also creates the perfect prompts for image generation. AI Image Creation: Leveraging Google Gemini, the workflow generates stunning visuals, producing either photorealistic or artistic risoprint-style images based on the AI's prompts. Seamless Publishing: Your newly created article, complete with its AI-generated image and all metadata, is automatically posted to your website. Instant Notifications: You'll get a quick ping on Telegram with a summary of the new post, so you're always in the loop. Setup To get this workflow up and running, you'll need to configure a few things: Google Sheet: Link your Google Sheet and specify the sheet name and the column containing your news description. Ollama: Set up your Ollama API credentials to connect the workflow to your local or remote Ollama instance. Google Gemini API: Provide your Google Gemini API key to enable AI image generation. Website API: Create a credential for your website, including its posting URL, an API Key for authentication, and your desired user_id and username for posts. You can also add optional fields like bgColor, LinkAff, postType, and embeddedContent here. Telegram: Set up your Telegram API credential with your bot token and the chatId where you want to receive notifications.

How it works This template is a complete, hands-on tutorial that lets you build and interact with your very first AI Agent. Think of an AI Agent as a standard AI chatbot with superpowers. The agent doesn't just talk; it can use tools to perform actions and find information in real-time. This workflow is designed to show you exactly how that works. The Chat Interface (Chat Trigger): This is your window to the agent. It's a fully styled, public-facing chat window where you can have a conversation. The Brain (AI Agent Node): This is the core of the operation. It takes your message, understands your intent, and intelligently decides which "superpower" (or tool) it needs to use to answer your request. The agent's personality and instructions are defined in its extensive system prompt. The Tools (Tool Nodes): These are the agent's superpowers. We've included a variety of useful and fun tools to showcase its capabilities: Get a random joke. Search Wikipedia for a summary of any topic. Calculate a future date. Generate a secure password. Calculate a monthly loan payment. Fetch the latest articles from the n8n blog. The Memory (Memory Node): This gives the agent a short-term memory, allowing it to remember the last few messages in your conversation for better context. When you send a message, the agent's brain analyzes it, picks the right tool for the job, executes it, and then formulates a helpful response based on the tool's output. Set up steps Setup time: ~3 minutes This template is nearly ready to go out of the box. You just need to provide the AI's "brain." Configure Credentials: This workflow requires an API key for an AI model. Make sure you have credentials set up in your n8n instance for either Google AI (Gemini) or OpenAI. Choose Your AI Brain (LLM): By default, the workflow uses the Google Gemini node. If you have Google AI credentials, you're all set! If you prefer to use OpenAI, simply disable the Gemini node and enable the OpenAI node. You only need one active LLM node. Make sure it is connected to the Agent parent node. Explore the Tools: Take a moment to look at the different tool nodes connected to the Your First AI Agent node. This is where the agent gets its abilities! You can add, remove, or modify these to create your own custom agent. Activate and Test! Activate the workflow. Open the public URL for the Example Chat Window node (you can copy it from the node's panel). Start chatting! Try asking it things like: "Tell me a joke." "What is n8n?" "Generate a 16-character password for me." "What are the latest posts on the n8n blog?" "What is the monthly payment for a $300,000 loan at 5% interest over 30 years?"