Workflow Templates

Automate your Bitcoin content pipeline by turning the latest CoinDesk headlines into structured Japanese summaries posted to Discord every six hours — completely hands-free. Who is this for Crypto traders, Discord community managers, and content creators who want to keep their audience updated on Bitcoin news without writing posts manually. No coding required. What this workflow does On a six-hour schedule, the workflow fetches the three newest articles from the CoinDesk RSS feed. Each article is sent to Google Gemini 2.5 Flash via a Basic LLM Chain node. A Structured Output Parser then extracts the AI response into four clean fields: a one-line Japanese summary, a brief AI commentary, the article URL, and hashtags. The structured post is delivered to a Discord channel via webhook. Each post is also saved to Google Sheets for auditing, and a Slack notification confirms every successful run. How to set up Open the Set config values node and fill in your Google Sheet ID, Discord Webhook URL, and hashtags. Add your Google Gemini API credential to the Gemini 2.5 Flash node (free tier works). In Discord, go to your channel settings → Integrations → Webhooks, create a new webhook, and paste the URL into Set config values. Connect your Google Sheets OAuth2 credential and set the target sheet name. Add your Slack credential and update the channel ID in the Notify Slack node. Activate the workflow — it will run automatically every six hours. Requirements Google Gemini API key (free tier works) Discord server with webhook permission Google Sheets OAuth2 credential Slack API credential How to customize Swap the RSS URL in Set config values to follow Ethereum, Solana, or any crypto feed. Edit the prompt inside Basic LLM Chain to change language or post style. Update the hashtags in Set config values. Adjust the posting interval in the Schedule Trigger node (default: every 6 hours). Add a Filter node between RSS and LLM to post only articles matching specific keywords.

This workflow allows you to create, update and get a post using the Discourse node. Discourse node: This node creates a new post under a category. Based on your use-case, you can select a different category. Discourse1 node: This node updates the content of the post. Discourse2 node: This node fetches the node that we created using the Discourse node. Based on your use-case, you can add or remove nodes to connect Discourse to different services.

Automated Stripe Payment to QuickBooks Sales Receipt This n8n workflow seamlessly connects Stripe and QuickBooks Online to keep your accounting in perfect sync. Whenever a payment in Stripe succeeds, the workflow automatically checks if the corresponding customer exists in QuickBooks. If found, it instantly creates a Sales Receipt under that customer. If not, it creates the customer first — then logs the sale. Key Features: ⚡ Real-Time Sync: Automatically triggers when a Stripe payment intent succeeds. 👤 Smart Customer Matching: Searches for existing customers in QuickBooks to prevent duplicates. 🧾 Automated Sales Receipts: Creates accurate sales records for every successful Stripe payment. 🔄 End-to-End Automation: Handles customer creation, receipt generation, and data consistency without manual entry. Requirements: A running n8n instance, active Stripe and QuickBooks Online accounts with API access.

Quick Overview This workflow manually fetches all Monday.com boards, retrieves each board’s groups and tasks, and syncs the task details into Airtable using a delegated sub-workflow pattern. How it works Starts manually to initiate the sync. Fetches all boards from Monday.com and iterates through them in batches. For each board, pulls all board groups from Monday.com and enriches each group with board context (ID, name, state, owners, and metadata). Sends the group list to an execute-workflow trigger as a sub-workflow and waits for it to finish processing. In the sub-workflow, flattens the incoming groups into individual group records and iterates through them. For each group, fetches all Monday.com items in that group, formats key fields (owner, status, type, and story points), and upserts them into an Airtable table using “Monday Task ID” as the unique key. Returns a success message to the parent workflow and aggregates per-board sub-workflow results into a combined output. Setup Add Monday.com API credentials with permission to read boards, groups, and items. Add an Airtable Personal Access Token and select the target base and table for upserts. Ensure your Airtable table has fields that match the mapped columns (including a unique “Monday Task ID” field) and update the base/table IDs and option values (Project/Status/Type) to match your workspace.

Who is this for This workflow is designed for sales professionals, recruiters, and researchers who need to: Build comprehensive profiles of individuals from public sources Understand communication and personality styles before outreach Find verified contact information Research legal and public record history for individuals It's ideal for animal advocacy campaigns targeting corporate decision-makers, researchers profiling legislators on animal welfare issues, and activists preparing for meetings with executives at companies being asked to adopt animal welfare policies. What it does This multi-source OSINT agent creates comprehensive individual profiles: Personality analysis: Uses Humantic AI to analyze LinkedIn profiles for communication preferences, personality traits, and engagement recommendations Contact discovery: Uses Hunter.io to find and verify professional email addresses Legal research: Searches CourtListener for any court cases involving the individual Legislation involvement: Checks LegiScan for any legislative activity or testimony Document search: Searches DocumentCloud for government documents mentioning the person Web research: Uses Serper to find news articles, publications, and public appearances Synthesis: Combines all findings into an actionable intelligence report The workflow waits for Humantic AI profile generation (45 seconds) before retrieving the complete personality analysis. How to set up Import the workflow into your n8n instance Configure the required API credentials: Humantic AI API for personality analysis Hunter API for email finding CourtListener API for court case searches LegiScan API for legislation searches Serper API for web searches Jina AI API for content extraction OpenRouter API for AI synthesis Test with a public figure to verify all integrations Activate the workflow Example usage { "firstName": "John", "lastName": "Davis", "companyName": "Smithfield Foods", "companyDomain": "smithfieldfoods.com", "linkedinURL": "https://linkedin.com/in/johndavis", "reportGoal": "Prepare for corporate campaign meeting - understand decision-making authority, communication style, and any public statements on animal welfare" } Requirements Humantic AI API key Hunter API key CourtListener API key LegiScan API key Serper API key Jina AI API key OpenRouter API key How to customize Skip personality analysis**: Remove the Humantic AI nodes if you only need factual research Add social media**: Integrate Twitter/X or other social platform analysis to track public statements on animal issues Extend contact finding**: Add additional email verification or phone number lookup services Customize report format**: Adjust the final synthesis prompt for campaign briefings, legislator profiles, or corporate target research Add campaign database integration**: Connect output directly to your advocacy CRM or campaign tracking system Batch processing**: Wrap the workflow to process multiple decision-makers from a target company list

This workflow automates the entire process of creating, managing, and publishing AI-generated videos using OpenAI Sora2 Pro, Google Sheets, Google Drive, and YouTube. Advantages ✅ Fully Automated Video Pipeline From idea to YouTube publication with zero manual intervention after setup. ✅ Centralized Control via Google Sheets Simple spreadsheet interface — no need to use APIs or dashboards directly. ✅ AI-Powered Video Creation Uses OpenAI Sora2 Pro for generating professional-quality videos from text prompts. ✅ SEO-Optimized Titles with GPT-5 Automatically creates catchy, keyword-rich titles optimized for YouTube engagement. ✅ Cloud Integration Seamless use of Google Drive for file management and YouTube for publishing. ✅ Scalable and Repeatable Can handle multiple videos in sequence, triggered manually or at regular intervals. ✅ Error-Resilient and Transparent Uses conditional checks (“Completed?” node) and real-time updates in Google Sheets to ensure reliability and visibility. How it Works This workflow automates the entire process of generating AI videos and publishing them to YouTube, using a Google Sheet as the central control panel. Trigger & Data Fetch: The workflow is triggered either manually or on a schedule. It starts by reading a specific Google Sheet to find new video requests. A new request is identified as a row where the "PROMPT" and "DURATION" columns are filled, but the "VIDEO" column is empty. AI Video Generation: For each new request, it takes the prompt and duration, then sends a request to the Fal.ai Sora-2 Pro model via its API to generate the video. The system then enters a polling loop, checking the video generation status every 60 seconds until it is COMPLETED. Post-Processing & Upload: Once the video is ready, the workflow performs three parallel actions: Fetch Video & Upload to Drive: It retrieves the generated video file and uploads it to a specified folder in Google Drive for archiving. Generate YouTube Title: It sends the original prompt to OpenAI's GPT-5 (or another specified model) to generate an optimized, SEO-friendly title for the YouTube video. Publish to YouTube: It takes the generated video file and the AI-created title and uses the Upload-Post.com service to automatically publish the video to a connected YouTube channel. Update & Log: Finally, the workflow updates the original Google Sheet row with the URL of the archived video in Google Drive and the newly created YouTube video URL, providing a complete audit trail. Set up Steps To configure this workflow, follow these steps: Prepare the Google Sheet: Create a Google Sheet with at least these columns: PROMPT, DURATION, VIDEO, and YOUTUBE_URL. In the n8n "Get new video" and update nodes, configure the documentId and sheetName to point to your specific Google Sheet. Configure Fal.ai API Key: Create an account on fal.ai and obtain your API key. In both the "Create Video" and "Get status" HTTP Request nodes, set up the HTTP Header Authentication. Set the Name to Authorization and the Value to Key YOUR_API_KEY. Set up Upload-Post.com for YouTube: Create an account on Upload-Post.com and get your API key. Connect your YouTube channel as a "profile". In the "HTTP Request" node (for uploading), configure the Header Auth with Name: Authorization and Value: Apikey YOUR_UPLOAD_POST_API_KEY. Replace YOUR_USERNAME in the node's body parameters with the profile name you created on Upload-Post.com (e.g., test1). Configure OpenAI (Optional but Recommended): The "Generate title" node uses an OpenAI model. Ensure you have valid OpenAI API credentials set up in n8n for this node to function and create optimized titles. Finalize Paths and Activate: In the "Upload Video" node, specify the correct Google Drive folder ID where you want the videos to be saved. Once all credentials and paths are set, you can activate the workflow and set the "Schedule Trigger" node to run at your desired interval (e.g., every 5 minutes). Need help customizing? Contact me for consulting and support or add me on Linkedin.

CTO Agent with Engineering Team Description Complete AI-powered engineering department with a Chief Technology Officer (CTO) agent orchestrating specialized engineering team members for comprehensive software development and technical operations. Overview This n8n workflow creates a comprehensive engineering department using AI agents. The CTO agent analyzes technical requests and delegates tasks to specialized agents for software architecture, DevOps, security, quality assurance, backend development, and frontend development. Features Strategic CTO agent using OpenAI O3 for complex technical decision-making Six specialized engineering agents powered by GPT-4.1-mini for efficient execution Complete software development lifecycle coverage from architecture to deployment Automated DevOps pipelines and infrastructure management Security assessments and compliance frameworks Quality assurance and test automation strategies Full-stack development capabilities Team Structure CTO Agent**: Technical leadership and strategic delegation (O3 model) Software Architect Agent**: System design, patterns, technology stack decisions DevOps Engineer Agent**: CI/CD pipelines, infrastructure automation, containerization Security Engineer Agent**: Application security, vulnerability assessments, compliance QA Test Engineer Agent**: Test automation, quality strategies, performance testing Backend Developer Agent**: Server-side development, APIs, database architecture Frontend Developer Agent**: UI/UX development, responsive design, frontend frameworks How to Use Import the workflow into your n8n instance Configure OpenAI API credentials for all chat models Deploy the webhook for chat interactions Send technical requests via chat (e.g., "Design a scalable microservices architecture for our e-commerce platform") The CTO will analyze and delegate to appropriate specialists Receive comprehensive technical deliverables Use Cases Full Stack Development**: Complete application architecture and implementation System Architecture**: Scalable designs for microservices and distributed systems DevOps Automation**: CI/CD pipelines, containerization, cloud deployment strategies Security Audits**: Vulnerability assessments, secure coding practices, compliance Quality Assurance**: Test automation frameworks, performance testing strategies Technical Documentation**: API documentation, system diagrams, deployment guides Requirements n8n instance with LangChain nodes OpenAI API access (O3 for CTO, GPT-4.1-mini for specialists) Webhook capability for chat interactions Optional: Integration with development tools and platforms Cost Optimization O3 model used only for strategic CTO decisions GPT-4.1-mini provides 90% cost reduction for specialist tasks Parallel processing enables simultaneous agent execution Code template library reduces redundant development work Integration Options Connect to development platforms (GitHub, GitLab, Bitbucket) Integrate with project management tools (Jira, Trello, Asana) Link to monitoring and logging systems Export to documentation platforms Contact & Resources Website**: nofluff.online YouTube**: @YaronBeen LinkedIn**: Yaron Been Tags #SoftwareEngineering #TechStack #DevOps #SecurityFirst #QualityAssurance #FullStackDevelopment #Microservices #CloudNative #TechLeadership #EngineeringAutomation #n8n #OpenAI #MultiAgentSystem #EngineeringExcellence #DevAutomation #TechInnovation

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. This n8n workflow template helps you automatically convert unstructured contact information—such as customer details copied from emails, web forms, or chat messages—into clean, structured JSON using an AI agent. What It Does: Accepts unstructured contact data via a Webhook (as form-data under the key prompt) Uses AI to intelligently extract key fields such as: Company Name First Name Last Name Address City Country Phone Fax Email Parses and formats the extracted data into a valid JSON object Prepares the output for seamless integration into systems like: Dolibarr Other ERP/CRM platforms Any service that consumes JSON via API or webhook Use Cases: Automate manual data entry from emails into your ERP system Clean and normalize contact data from various input sources Reduce human error in your customer onboarding workflows This template saves you time and ensures consistency across your business systems. Simply connect your systems and let the automation handle the rest.

✅ What problem does this workflow solve? Salon staff often spend hours juggling appointment calls, managing bookings manually, and keeping track of customer preferences. This workflow automates your entire salon appointment system via WhatsApp, delivering a personalized and human-like booking experience using AI, memory, and Google Sheets. 💡 Main Use Cases 💁‍♀️ Offer personalized stylist recommendations by remembering customer preferences and past visits. 📅 Provide real-time availability and salon opening hour information. 📝 Book and update appointments directly from customer chat. 🔁 Simplify appointment changes by recalling previous booking details. 🧠 Enable context-aware, memory-driven conversations across multiple interactions. 🧠 How It Works – Step-by-Step 1. 📲 Chat Message Trigger The workflow is triggered whenever a customer sends a message to your WhatsApp salon assistant. 2. 🧠 Memory Buffer for Context Management The assistant uses a Memory Buffer to: Recognize returning customers Avoid repeating questions Maintain conversation flow across multiple sessions This enables a seamless and intelligent dialogue with each customer. 3. 💇 Stylist & Service Lookup When the customer asks for stylist suggestions, available time slots, or services: Extracts request details using AI Queries a Google Sheet containing: Stylist availability Service types Salon opening hours Returns personalized recommendations based on preferences and availability 4. ✅ Appointment Booking Collects all necessary info: Date, time, selected service, stylist, contact info Stores the appointment in Google Sheets Sends a confirmation message to the customer in WhatsApp 5. 🔄 Modify or Cancel Bookings Customers can update or cancel appointments Bot matches records by phone number Modifies or deletes the appointment in the sheet accordingly 🧩 Integrations Used WhatsApp Integration** (via Twilio, Meta API, or other connector) OpenAI/GPT Model** for natural conversation flow and extraction Google Sheets** as a simple and effective appointment database Memory Buffer** for ongoing context across chats 👤 Who can use this? Perfect for: 💇‍♀️ Salons and barbershops 💅 Spas and beauty centers 🧖‍♀️ Wellness studios 🛠 Developers building vertical AI assistants for SMBs If you're looking to modernize your booking process and impress customers with an AI-powered, memory-enabled WhatsApp bot—this workflow delivers. 🚀 Benefits ⏰ Save time for your staff 🧠 Offer truly personalized experiences 📲 Book appointments 24/7 via WhatsApp 📋 Keep all records organized in Google Sheets 🧘 Reduce human error and double bookings 📦 Ready to Launch? Just configure: ✅ Your WhatsApp number + webhook integration ✅ Google Sheet with stylist and service data ✅ OpenAI key for AI-powered conversation ✅ Memory Buffer to enable smart replies And your salon will be ready to offer automated, intelligent booking—right from a simple WhatsApp chat.

Dental Clinic Automation: Scheduling, Availability & Patient Lookup This workflow automates dental appointment management through a phone-based assistant. It listens for requests like booking, rescheduling, canceling, checking insurance, looking up appointments, and finding available time slots. Each request is processed through a Switch node and then routed to your Supabase database for action. How it works Once a request is received, the workflow uses the patient’s phone number to identify them. Then, it: Booking: Checks for available time, creates or retrieves the patient record, and stores the appointment. Rescheduling: Confirms the new date, avoids double-booking, and updates the record. Canceling: Removes the appointment and sends a confirmation. Insurance: Looks up the member ID and provides a status (accepted or not). Availability: Finds the doctor’s existing appointments and generates available 60-minute slots. Appointment & doctor lists: Retrieves and presents clean, structured information for the assistant. Each action ends with a webhook response that the phone system reads back to the patient. Setup steps Add your Supabase credentials to the Supabase nodes. Connect your phone/voice system to the webhook URL. Ensure Supabase table and column names match the workflow. Test all actions (booking, rescheduling, canceling, etc.) before going live. Customization tips (optional) You can update working hours, appointment durations, or add new services by modifying the availability logic or Switch node routing.

Automated DA PA Checker Workflow for SEO Analysis Description This n8n workflow collects a website URL via form submission, retrieves SEO metrics like Domain Authority (DA) and Page Authority (PA) using the Moz DA PA Checker API, and stores the results in Google Sheets for easy tracking and analysis. Node-by-Node Explanation On form submission – Captures the website input from the user to pass to the Moz DA PA Checker API. DA PA API Request – Sends the website to the Moz DA PA Checker API via RapidAPI to fetch DA, PA, spam score, DR, and organic traffic. If – Checks if the API request to the Moz DA PA Checker API returned a successful response. Clean Output – Extracts only the useful data from the Moz DA PA Checker API response for saving. Google Sheets – Appends the cleaned SEO metrics to a Google Sheet for record-keeping. Use Cases SEO Analysis** – Quickly evaluate a website’s DA/PA metrics for optimization strategies. Competitor Research** – Compare domain authority and organic traffic with competitors. Link Building** – Identify high-authority domains for guest posting and backlinks. Domain Purchase Decisions** – Check metrics before buying expired or auctioned domains. Benefits Automated Workflow** – From input to Google Sheets without manual intervention. Accurate Metrics* – Uses the trusted *Moz DA PA Checker API** for DA, PA, spam score, DR, and traffic. Instant Insights** – Get SEO scores in seconds for faster decision-making. Easy Integration** – Seamless connection between RapidAPI and Google Sheets for data storage.

This workflow automatically discovers developers on GitHub, enriches their data with email addresses, removes duplicates, and saves everything into a structured Google Sheets CRM. No manual searching, copying, or data cleaning required. It’s perfect for recruiter teams, SaaS founders, agencies, and outbound marketers who need fresh developer leads every day without spending hours on GitHub. How It Works This automation is divided into 3 clear stages: Find Developers on GitHub. The workflow runs on a schedule (daily/hourly). Enrich Developer Data with Emails. The workflow checks if a developer already has an email. If not, it automatically uses Hunter.io to find a professional email address. Remove Duplicates & Save to Google Sheets What You Get Automatic developer sourcing Email enrichment using Hunter.io Built-in duplicate detection Clean, enriched data you can use instantly for outreach What You Need GitHub API Hunter.io API key Google Sheets connection n8n (self-hosted or cloud)