by InfyOm Technologies
✅ What problem does this workflow solve? Tired of the back-and-forth involved in scheduling meetings? This workflow lets you offer a seamless, voice-based appointment booking experience. It automatically checks your Cal.com availability and either books a meeting or helps the caller choose another time—powered by ElevenLabs for a human-like voice interaction. ⚙️ What does this workflow do? Receives an inbound voice call (e.g., from a website or IVR system). Uses ElevenLabs to drive the voice interaction with natural, AI-generated speech. Checks real-time availability from your Cal.com calendar. Books a meeting if a slot is available. If not, asks the user to suggest a new time and checks availability again. Confirms the appointment with a verbal response and optional email or SMS. 🔧 Setup 🧠 ElevenLabs Custom Tools Setup Add two tools in Custom Tools in ElevenLabs with the following details. Name: bookSlot Description: Use this tool when the user confirms their slot and appointment. When you have the proper name and email of theirs. POST: {n8n_webhook_url} Name: checkAvailableSlot Description: Use this slot to check Available slots in our calendar. POST: {n8n_webhook_url} 🗣 ElevenLabs Prompt Configuration First Message: Thanks for calling InfyOm Technologies. How can I help you? Use the following System Prompt: 1. Personality You are a clear, helpful, and respectful assistant focused solely on booking appointments for clients. Identity**: A virtual appointment scheduler. Core Traits**: Polite, efficient, conversational, respectful. Role**: Guide users through choosing a time, checking availability, and finalizing the booking. 2. Tone Your tone is polite, professional, and engaging—friendly enough to feel human, but focused enough to stay on task. Use conversational cues like “Okay,” “Got it,” “Sounds good,” etc. Maintain a warm but efficient pace. Speak clearly and respectfully at all times. Ensure the conversation is on both topics. 3. Goal Your task is to book an appointment for the client. Step-by-step Conversation Flow Greeting & Purpose Greet politely and state the purpose. Example: “Hi! I’m here to help you book an appointment.” Request Preferred Time Ask: “Can you please tell me your preferred time slot for the appointment?” Understand the user's date, and if it is not clear, then ask for the full date with month and year. Check Availability Use the checkAvailableSlot tool with the user’s preferred time. If the slot is available: Confirm with the user: “That slot is available. Should I go ahead and book it for you?” If the user agrees, → Use bookSlot. If the slot is not available: Say: “It looks like that time isn’t available... Would you like to look for the same time on the next day?” Handle Next-Day Option If the user agrees, check availability for the same time on the next day using checkAvailableSlot. If available, → confirm and use bookSlot. If not, → politely inform and ask for a different time. Close the Call Confirm the booking if done. Example: “Great! Your appointment is booked. Thank you and have a wonderful day!” 4. Guardrails Do not** discuss anything unrelated to appointment booking. If the user asks for something outside your scope: Say: “I’m only here to help with appointment bookings. For other questions, please contact our support team.” Never speculate about unavailable data or functions. Never ask for a date format from the User, like Say date in Day Month and Year format. If you can't understand the user's date, then say Please speak the full date. 5. Tools You can use the following tools to help book appointments: checkAvailableSlot: Use this to check if the user’s requested time is open. bookSlot: Use this to confirm the appointment after the user agrees. End call Always says Thanks for reaching out to us. Have a nice day. 📅 Cal.com API Setup Go to cal.com and generate an API Key. Create new Cal API credentials in n8n. Set this API Key in the credentials. 🧠 How it Works ☎️ 1. Incoming Call An inbound call is received by the system, and the user begins the conversation with your voice AI agent. 🧏 2. Voice Interaction via ElevenLabs The caller is greeted and asked for their preferred appointment time. All conversations are powered by natural AI speech from ElevenLabs. 🗓 3. Availability Check (Cal.com) The requested time is validated against your Cal.com availability: ✅ If available, the appointment is booked instantly. ❌ If unavailable, the agent informs the caller and asks for another time. 🔁 4. Retry Loop (If Slot Unavailable) If the initial slot is unavailable: The agent asks for a new preferred time. The process repeats until a valid slot is found or a fallback message is delivered. ✅ 5. Appointment Confirmation Once booked, the AI confirms the appointment verbally. You may also configure it to send: 📧 Email confirmations 📱 SMS reminders (optional) 👤 Who can use it? This is perfect for: 🧑⚕️ Clinics or Therapists 🧑💼 Consultants & Coaches 🏢 Sales Teams 🧠 AI-first SaaS Tools If your business relies on scheduled meetings and you'd like to automate bookings using a conversational voice experience, this is your go-to no-code solution.
by Tom Cao
🔐 Advanced SSL Health Monitor 👤 Who is this for? This workflow is designed for DevOps engineers, IT administrators, and security professionals who need comprehensive SSL certificate monitoring and health assessment across multiple domains — featuring dual verification and professional reporting without relying on expensive monitoring services. 🧩 What It Does Daily Trigger runs the workflow every morning for proactive monitoring. URL Collection fetches the list of website URLs to monitor from your data source. Dual SSL Analysis: Free SSL Assessment Script — Get from sysadmin-toolkit on Github SSL-Checker.io API — External verification for cross-validation Comprehensive Health Check: Certificate expiration monitoring (customizable threshold) SSL configuration security assessment Protocol support analysis (TLS 1.3, 1.2, deprecated protocols) Cipher suite strength evaluation Vulnerability scanning (POODLE, BEAST, etc.) Compliance checking (PCI DSS, NIST, FIPS) Smart Alert System sends Discord notifications when: Certificates expire within threshold (default: 30 days) SSL configuration issues detected (weak ciphers, deprecated protocols) Security vulnerabilities found Compliance standards not met Grade drops below acceptable level (configurable) 🎯 Key Features 🔄 Dual Verification**: Cross-checks results between internal scanner and external API 📊 SSL Labs-Style Grading**: A+ to F rating system with detailed analysis 🛡️ Security Assessment**: Vulnerability detection and compliance checking 📱 Discord Integration**: Rich embed notifications with color-coded alerts ⚙️ Setup Instructions Data Source: Configure your URL source from Notion Ensure it contains a URL column with domains to monitor Credentials: Set up Discord webhook for alert notifications Configure any required API credentials for data sources Customize Thresholds: Expiration Alert: Days before expiry (default: 30 days) Grade Threshold: Minimum acceptable SSL grade (default: B) Alert Severity: Choose which issues trigger notifications Advanced Configuration: Modify vulnerability checks based on your security requirements Adjust compliance standards for your industry needs Customize Discord message formatting and alert channels 🧠 Technical Notes Dual-Check Reliability**: Combines custom Bubobot scanner with ssl-checker.io for maximum accuracy No Vendor Lock-in**: Uses free public APIs and open-source tools Professional Reporting**: Generates SSL Labs-quality assessments Security-First Approach**: Comprehensive vulnerability and compliance checking Flexible Alerting**: Discord integration with rich formatting and conditional logic This workflow provide a comprehensive SSL security monitoring solution that rivals enterprise-grade tools while remaining completely open-source and free.
by Ficky
Build a Redis-Powered CRUD App with HTML Frontend This workflow demonstrates how to use n8n to build a complete, self-contained CRUD (Create, Read, Update, Delete) application without relying on any external server or hosting. It not only acts as the backend, handling all CRUD operations through Webhook endpoints, but also serves a fully functional HTML Single Page Application (SPA) directly via a webhook response. Redis is used as a lightweight data store, providing fast and simple key-value storage with auto-incremented IDs. Because both the frontend (HTML app) and backend (API endpoints) are managed entirely within a single n8n workflow, you can quickly prototype or deploy small tools without additional infrastructure. This approach is ideal for: Rapidly creating no-code or low-code applications Running fully browser-based tools served directly from n8n Teaching or demonstrating n8n + Redis integration in a single workflow Features Add new item with auto-incremented ID Edit existing item Delete specific item Reset all data (clear storage and reset autoincrement id) Single HTML frontend for demonstration (no framework required) Setup Instructions 1. Prerequisites Before importing and running the workflow, make sure you have: A running n8n instance (self-hosted or cloud) A running Redis server (local or remote) 2. API Path Setup For the REST API, use a consistent path. For example, if you choose items as the path: 2a. Get All Items** Method: GET Endpoint: items 2b. Add Item** Method: POST Endpoint: items 2c. Edit Item** Method: PUT Endpoint: items 2d. Delete Item** Method: DELETE Endpoint: items 2e. Reset Items** Method: POST Endpoint: items-reset 3. Configure the API URL Set the API URL in the SET API URL node. Use your n8n webhook URL, for example: https://yourn8n.com/webhook/items 4. Run the HTML App Once everything is set: Open the webhook URL for the HTML app in a browser. The CRUD interface will load and connect to the API endpoints automatically. You can now add, edit, delete, or reset items directly from the web interface. Workflows 1. Render the HTML CRUD App This webhook serves a self-contained HTML Single Page Application (SPA) for basic CRUD operations. The HTML content is returned directly in the webhook response. This setup is ideal for lightweight, browser-based tools without external hosting. How to Use Open the webhook URL in a browser The CRUD interface will load and connect to the data source via API calls Before using, make sure to edit the api_url in the SET API URL node to match your webhook endpoint 2a. REST API: Get All Items This webhook handles retrieving all saved items from Redis. Each item is returned with its corresponding ID and associated data (e.g., name). This endpoint is used by the HTML CRUD App to display the full list of items. Method**: GET Function**: Fetches all items stored in Redis and returns them as a JSON array 2b. REST API: Add Item This webhook handles the Add Item functionality. This endpoint is typically called by the HTML CRUD App when adding a new item. Method**: POST Request Body**: { "name": "item name" } Function**: Generates an auto-incremented ID using Redis and saves the data under that ID 2c. REST API: Edit Item This webhook handles updating an existing item in Redis. Method**: PUT Request Body**: { "id": 1, "name": "Updated Item Name" } Function**: Finds the item by the given id and updates its data in Redis 2d. REST API: Delete Item This webhook handles deleting a specific item from Redis. Method**: DELETE Request Body**: { "id": 1 } Function**: Removes the item with the given id from Redis 2e. REST API: Reset Items This webhook handles resetting all data in the application. Method**: POST Function**: Deletes all stored items from Redis Resets the auto-increment ID by deleting the data in Redis
by Mal Chia
Who’s it for This workflow is perfect for HR teams, recruiters, or hiring managers who collect applicant information via a web form and want to automatically forward both candidate details and attached resumes into a dedicated Telegram channel or group. It streamlines manual email checks, speeding up review and collaboration. How it works On form submission: A Form Trigger node captures all applicant fields (name, age, WhatsApp number, education, desired role, availability date, expected salary, resume file, and additional comments). Date & Time: Formats the “fastest start date” into a human-readable string. Edit Fields: A Set node renames and reshapes incoming JSON into clear key/value pairs. If Have Resume: An If node routes submissions with an attached resume to one branch (sending both info and document) and submissions without a resume to a simpler info-only branch. Merge: Combines branches so both message types terminate in a single unified flow. Send a Resume & Send a Info: Two Telegram nodes post Markdown-formatted messages (and the PDF resume when available) to your specified Telegram chat. How to set up Install and enable the n8n-nodes-base.formTrigger and n8n-nodes-base.telegram community nodes (preview). Copy this JSON into your n8n instance (Workflow → Import from clipboard). Create environment variables for credentials: TELEGRAM_BOT_TOKEN TELEGRAM_CHAT_ID In each Telegram node, reference these variables instead of hard-coding ({{$env.TELEGRAM_BOT_TOKEN}}, {{$env.TELEGRAM_CHAT_ID}}). Requirements n8n version ≥ 0.200.0 Community nodes: Form Trigger, Telegram A Telegram bot with chat permissions A hosted form endpoint or embedded form at path /mmc-newjob How to customize the workflow Form fields: Edit the **Form Trigger node’s formFields.values to add or remove fields. Telegram formatting: Tweak captions under **Send a Resume and Send a Info to adjust the MarkdownV2 styling. Conditional logic: Modify the **If Have Resume node to branch on other criteria (e.g., education level). Styling: Update the customCss section in **Form Trigger to match your brand’s look. Good to know Community nodes may be in preview; test thoroughly before production. Webhook URLs change when you rename the workflow—revisit your form’s embed or webhook settings after renaming. Consider adding an Error Trigger node to capture failures and notify your team.
by InfraNodus
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
by David Olusola
🎯 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! 🔍
by Arkhip
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.
by Daniel Shashko
Note: This template is for self-hosted n8n instances only You can use this workflow to fully automate website content monitoring and change detection on a weekly basis—even when there’s no native node for scraping or structured comparison. It uses an AI-powered scraper, structured data extraction, and integrates Google Sheets, Drive, Docs, and email for seamless tracking and reporting. Main Use Cases Monitor and report changes to websites (e.g., pricing, content, headings, FAQs) over time Automate web audits, compliance checks, or competitive benchmarking Generate detailed change logs and share them automatically with stakeholders How it works The workflow operates as a scheduled process, organized into these stages: 1. Initialization & Configuration Triggers weekly (or manually) and initializes key variables: Google Drive folder, spreadsheet IDs, notification emails, and test mode. 2. Input Retrieval Reads the list of URLs to be monitored from a Google Sheet. 3. Web Scraping & Structuring For each URL, an AI agent uses Bright Data's scrape_as_markdown tool to extract the full web page content. The workflow then parses this content into a well-structured JSON, capturing elements like metadata, headings, pricing, navigation, calls to action, contacts, banners, and FAQs. 4. Saving Current Week’s Results The structured JSON is saved to Google Drive as the current week’s snapshot for each monitored URL. The Google Sheet is updated with file references for traceability. 5. Comparison with Previous Snapshot If a prior week’s file exists, it is downloaded and parsed. The workflow compares the current and previous JSON snapshots, detecting and categorizing all substantive content changes (e.g., new/updated plans, FAQ edits, contact info modifications). Optionally, in test mode, mock changes are introduced for demo and validation purposes. 6. Change Report Generation & Delivery A rich Markdown-formatted changelog is generated, summarizing the detected changes, and then converted to HTML. The changelog is uploaded to Google Docs and linked back to the tracking sheet. An HTML email with the full report and relevant links is sent to recipients. Summary Flow: Schedule/workflow trigger → initialize variables Read URL list from spreadsheet For each URL: Scrape & structure as JSON Save to Drive, update tracking sheet If previous week exists: Download & parse previous Compare, generate changelog Convert to HTML, save to Docs, update Sheet Email results Benefits: Fully automated website change tracking with end-to-end reporting Adaptable and extensible for any set of monitored pages and content types Easy integration with Google Workspace tools for collaboration and storage Minimal manual intervention required after initial setup
by InfraNodus
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
by Femi Ad
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!
by Ventsislav Minev
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!
by Gerald Denor
Overview This comprehensive n8n workflow automatically transforms trending Google search queries into engaging LinkedIn posts using AI. The system runs autonomously, discovering viral topics, researching content, and publishing professionally formatted posts to grow your social media presence. Workflow Description Automate your entire social media content pipeline - from trend discovery to publication. This workflow monitors Google Trends, selects high-potential topics, creates human-like content using advanced AI, and publishes across multiple social platforms with built-in tracking. Key Features Automated Trend Discovery**: Pulls trending topics from Google Trends API with customizable filters Intelligent Topic Selection**: AI chooses the most relevant trending topic for your niche Multi-AI Content Generation**: Combines Perplexity for research and OpenAI for content curation Human-Like Writing**: Advanced prompts eliminate AI detection markers LinkedIn Optimization**: Proper formatting with Unicode characters, emojis, and engagement hooks Multi-Platform Support**: Ready for LinkedIn, Twitter/X, and Facebook posting Automated Scheduling**: Configurable posting times (default: 6 AM & 6 PM daily) Performance Tracking**: Automatic logging to Google Sheets with timestamps and metrics Error Handling**: Built-in delays and retry mechanisms for API stability Technical Implementation Workflow Architecture Schedule Trigger: Automated execution at specified intervals Google Trends API: Fetches trending search queries with geographical filtering Data Processing: JavaScript code node filters high-volume keywords (30+ search volume) Topic Selection: OpenAI GPT-3.5 evaluates and selects optimal trending topic Content Research: Perplexity AI researches selected topic for current information Content Generation: Advanced prompt engineering creates LinkedIn-optimized posts Content Distribution: Multi-platform posting with platform-specific formatting Analytics Tracking: Google Sheets integration for performance monitoring Node Breakdown Schedule Trigger**: Configurable timing for automated execution HTTP Request (Google Trends)**: SerpAPI integration for trend data Set Node**: Structures trending data for processing Code Node**: JavaScript filtering for high-volume keywords OpenAI Node**: Intelligent topic selection based on relevance and trend strength HTTP Request (Perplexity)**: Advanced AI research with anti-detection prompts Wait Node**: Rate limiting and API respect Split Out**: Prepares content for multi-platform distribution LinkedIn Node**: Authenticated posting with community management Google Sheets Node**: Automated tracking and analytics Social Media Nodes**: Twitter/X, LinkedIn and Facebook ready for activation Use Cases Content Creators**: Maintain consistent posting schedules with trending content Marketing Agencies**: Scale content creation across multiple client accounts Business Development**: Build thought leadership with timely industry insights Personal Branding**: Establish authority by commenting on trending topics SEO Professionals**: Create content around high-search-volume keywords Configuration Requirements API Integrations SerpAPI**: Google Trends data access Perplexity AI**: Advanced content research capabilities OpenAI**: Content curation and topic selection LinkedIn Community Management API**: Professional posting access Google Sheets API**: Analytics and tracking Authentication Setup LinkedIn OAuth2 community management credentials Google Sheets OAuth2 integration HTTP header authentication for AI services Customization Options Industry Targeting**: Modify prompts for specific business verticals Posting Schedule**: Adjust timing based on audience activity Content Tone**: Customize voice and style through prompt engineering Platform Selection**: Enable/disable specific social media channels Trend Filtering**: Adjust search volume thresholds and geographic targeting Content Length**: Modify character limits for different platforms Advanced Features Anti-AI Detection**: Sophisticated prompts create human-like content Rate Limit Management**: Built-in delays prevent API throttling Error Recovery**: Robust error handling with retry mechanisms Content Deduplication**: Prevents posting duplicate content Engagement Optimization**: LinkedIn-specific formatting for maximum reach Performance Metrics Time Savings**: Eliminates 10+ hours of weekly content creation Consistency**: Maintains regular posting schedule without manual intervention Relevance**: Content always based on current trending topics Engagement**: Optimized formatting increases social media interaction Scalability**: Single workflow manages multiple platform posting Installation Notes Import JSON workflow file into n8n instance Configure all required API credentials Set up Google Sheets tracking document Test workflow execution with manual trigger Enable schedule trigger for automated operation Best Practices Monitor API usage to stay within rate limits Regularly update prompts based on content performance Review and adjust trending topic filters for your niche Maintain backup of workflow configuration Test content output before enabling automation Support & Updates Comprehensive setup documentation included Configuration troubleshooting guide provided Regular workflow updates for API changes Community support through n8n forums Tags social-media content-automation linkedin ai-generation google-trends perplexity openai marketing trend-analysis content-creation Compatibility n8n Version: 1.0+ Node Requirements: Standard n8n installation External Dependencies: API access to listed services Hosting: Compatible with cloud and self-hosted n8n instances