Workflow Templates

This n8n workflow is designed for working with the WhatsApp Business platform. It allows to send custom replies via WhatsApp in response to incoming user messages. 💡 Take a look at the step-by-step tutorial on how to create a WhatsApp bot. The workflow consists of two parts: The first Verify webhook sends back verification challenge string. You will need this part during the setup process on the Meta for Developers portal: Select your App Go to WhatsApp Configuration Click on the Edit button in the Webhook session Enter your production webhook URL, provide Verify token (can be any text string) Remember to activate the n8n workflow! Finally press "Verify and save" Once the webhook is verified, the Respond webhook receives various POST requests from Meta regarding WhatsApp messages (user messages and status notifications). The workflow checks whether the incoming JSON contains a user message. If this is the case, it sends the text message back to the user. This is a custom message, not a WhatsApp Business template.

About The Product Hunt Automation Staying up-to-date with specific topics and launches on Product Hunt can be time-consuming. Manually checking the site multiple times a day interrupts your workflow and risks missing important launches. What if you could automatically get relevant launches delivered to your Slack workspace? How to Monitor Product Hunt In this guide, you'll learn how to create a Product Hunt monitoring system using Airtop's built-in node in n8n. This automation will scan Product Hunt for your chosen topics and deliver the most relevant launches directly to Slack. What You'll Need A free Airtop API key A Slack workspace with permissions to add incoming webhooks Estimated setup time: 5 minutes Understanding the Process The Monitor Product Hunt automation uses Airtop's cloud browser capabilities to access Product Hunt and extract launch information. Here's what happens: Airtop visits Product Hunt and navigates the page It searches for and extracts up to 5 launches related to your chosen topic The information is formatted and sent to your specified Slack channel This process can run on your preferred schedule, ensuring you never miss relevant launches. Setting Up Your Automation We've created a ready-to-use template that handles all the complex parts. Here's how to get started: Connect your Airtop account by adding the API key you created Connect your Slack account Set your prompt in the Airtop node. For this example, we’ve set it to be “Extract up to 5 launches related to AI products” Choose your preferred monitoring schedule. Customization Options While our template works immediately, you might want to customize it for your specific needs: Adjust the prompt and the maximum number of launches to monitor Customize the Slack message format Change the monitoring frequency Add filters for particular keywords or companies Real-World Applications Here's how teams can use this automation: A startup's engineering team could track trends in other product’s tech stack, helping them stay informed about potential issues and improvements. A product manager can track launches of competitor products, enabling them to gather valuable market insights and user feedback directly from the tech community on that launch. Best Practices To get the most out of this automation: Choose Specific Search Terms**: For more relevant results, instead of broad terms like "AI," use specific phrases like "machine learning for healthcare" Optimize Scheduling**: When setting the monitoring frequency, consider your team's workflow. Running the scenario every 4 hours during working hours often provides a good balance between staying updated and avoiding notification fatigue. Set Up Error Handling**: Enable n8n's error output to alert you if the automation encounters any issues with accessing Product Hunt or sending messages to Slack. Regular Topic Review**: Schedule a monthly review of your monitored topics to ensure they're still relevant to your needs and adjust as necessary. What's Next? Now that you've set up your Product Hunt monitor automation, you might be interested in: Creating a similar monitor for other tech websites Setting up automated content curation for your team's newsletter Building a competitive intelligence dashboard using web monitoring Happy Automating!

What is Elderwatch Elder Watch is a simple system that checks daily vitals — like heart rate, oxygen, and walking symmetry — using data from an iPhone or Apple Watch. If something looks off — say oxygen drops or heart rate spikes — it flags that as “attention required.” And depending on that status, it can either: Email a daily report to a caregiver Or if there’s an alert — trigger a phone call via Twilio Why do we need this Elder Watch can help older people living alone for children or care givers to keey an eye on without obsessively checking apps. It’s useful for clinics that run home-care programs. Requirements Self hosted or cloud N8N Apple health vis iphone/watch Twilio VOIP phone number (to place a call) Workflows Core workflow for getting health data, processing and making a phone call. Twilio workflow to invoke Calls API to place an outbound voice call. twilio workflow { "name": "Twilio Bridge Caller copy", "nodes": [ { "parameters": { "httpMethod": "POST", "path": "twilio-call", "responseMode": "responseNode", "options": {} }, "type": "n8n-nodes-base.webhook", "typeVersion": 2, "position": [ 0, 0 ], "id": "ca3e6c69-3e7f-4d28-b699-4789a6fa2a6d", "name": "Webhook", "webhookId": "eb3d63df-800c-401d-931a-c6fba7d834ae" }, { "parameters": { "respondWith": "text", "responseBody": "={{ $json.body }}", "options": { "responseCode": 200, "responseHeaders": { "entries": [ { "name": "Content-Type", "value": "text/xml" } ] } } }, "type": "n8n-nodes-base.respondToWebhook", "typeVersion": 1.1, "position": [ 580, 0 ], "id": "6587b7e2-ace8-4e2b-9f4b-ed028a363c25", "name": "Respond to Webhook" }, { "parameters": { "jsCode": "const summary = $input.first().json.query.summary || 'No summary, check mail for critical health info';\n\nreturn [\n {\n json: {\n body: <Response>\n <Say voice=\"alice\">${summary}</Say>\n</Response>\n }\n }\n];\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 340, 0 ], "id": "0d4abf87-daf3-4533-8811-64ae61265f5d", "name": "Voice Twilio response" } ], "pinData": { "Webhook": [ { "json": { "headers": { "host": "n8n.domain.com", "user-agent": "curl/8.7.1", "content-length": "0", "accept": "/", "accept-encoding": "gzip, br" }, "params": {}, "query": { "lead": " 44711111111111" }, "body": {}, "webhookUrl": "https://n8n.domain.com/webhook/twilio-call", "executionMode": "production" } } ] }, "connections": { "Webhook": { "main": [ [ { "node": "Voice Twilio response", "type": "main", "index": 0 } ] ] }, "Voice Twilio response": { "main": [ [ { "node": "Respond to Webhook", "type": "main", "index": 0 } ] ] } }, "active": true, "settings": { "executionOrder": "v1" }, "versionId": "b58c5a12-75be-4b1d-b144-8c7251468021", "meta": { "instanceId": "8dc0e8a0878d0086b2f46ef04bb00ae07186c936d82d0f0a67563e9652996d33" }, "id": "RHaKqf8Wqt7fIuGH", "tags": [] } Samples Resources https://www.youtube.com/watch?v=HYk5_jtMlgc Questions/Support Contact me on info@pankstr.com.

Tags: Sustainability, CSRD, Reporting, ESG, Compliance, Automation Context Hey! I'm Samir, a Supply Chain Engineer and Data Scientist from Paris, founder of LogiGreen Consulting We help companies automate sustainability workflows using AI, Data Analytics, and No-Code tools like N8N. > Sustainability Reporting meets Automation with n8n! 📬 For business inquiries, you can add me on Here What is a CSRD XHTML Report? Under the Corporate Sustainability Reporting Directive (CSRD), companies must publish their ESG disclosures in a machine-readable XHTML format, embedding XBRL tags that make the report structured and standardized. These files must follow strict formatting and tagging rules to ensure compliance, traceability, and accessibility for both regulators and analysts. Who is this template for? This workflow is designed for sustainability teams, ESG consultants, or developers who want to automatically check the structure and format of CSRD reports submitted in XHTML. How does it work? This N8N workflow automates the audit process: 📤 Input Node → Uploads or fetches the XHTML file via URL or Webhook. 🧪 Validates Structure → Uses a custom code node to parse HTML and identify required tags (e.g., <ix:nonNumeric>, namespaces). 📋 Outputs a Report → Returns a summary report of errors, warnings, and key metadata (like entity name, reporting period). 📤 Export Option → Save the results in Google Sheets or send via email. Prerequisite A sample XHTML file that you can find in my GitHub Repository Google Sheets API* and *OpenAI API** credentials Next Steps Follow the sticky notes inside each node to adjust parsing rules or extend validation to specific XBRL tags relevant to your sector (e.g., GHG emissions, water usage). *📺 Check my complete tutorial to understand how to use it: * 🎥 Check My Tutorial 🚀 Interested in combining CSRD compliance with automation and analytics? Let’s connect on LinkedIn Notes This workflow includes an example XHTML file to test the validator. You can plug this into your internal systems or even extend it with AI to auto-summarize the sustainability report. This workflow has been created with N8N 1.82.1 Submitted: April 3rd, 2025

This will send your Github notifications to a discord webhook. Since Github doesn't send push notifications to mobile devices other then @mention this is a great workaround to receive notifications on Discord with this. Using a github trigger was not a good option as there is no trigger for notifications only events (which don't work on org repos). Using http request on notifications api is way better. ++TAGGING USER IN MESSATGE:++ Change ** with your discord Id to get tagged when sending notifications. To find your own id type in any channel backslash followed by your username with the 4 digit hash code You can copy this by clicking on your username next to your profile picture Example: \@username#9999 Enjoy!

Workflow: Auto-Ticket Maker ⚡ About the Creators This workflow was created by Varritech Technologies, an innovative agency that leverages AI to engineer, design, and deliver software development projects 500% faster than traditional agencies. Based in New York City, we specialize in custom software development, web applications, and digital transformation solutions. If you need assistance implementing this workflow or have questions about content management solutions, please reach out to our team. 🏗️ Architecture Overview This workflow transforms your Slack conversations into complete project tickets, effectively replacing the need for a dedicated PM for task creation: Slack Webhook → Captures team conversation Code Transformation → Parses Slack message structure AI PM Agent → Analyzes requirements and creates complete tickets Memory Buffer → Maintains conversation context Slack Output → Returns formatted tickets to your channel Say goodbye to endless PM meetings just to create tickets! Simply describe what you need in Slack, and our AI PM handles the rest, breaking down complex projects into structured epics and tasks with all the necessary details. 📦 Node-by-Node Breakdown flowchart LR A[Webhook: Slack Trigger] --> B[Code: Parse Message] B --> C[AI PM Agent] C --> D[Slack: Post Tickets] E[Memory Buffer] --> C F[OpenAI Model] --> C Webhook: Slack Trigger Type: HTTP Webhook (POST /slack-ticket-maker) Purpose: Captures messages from your designated Slack channel. Code Transformation Function: Parses complex Slack payload structure Extracts: User ID, channel, message text, timestamp, thread information AI PM Agent Inputs: Parsed Slack message Process: Evaluates project complexity Requests project name if needed Asks clarifying questions (up to 2 rounds) Breaks down into epics and tasks Formats with comprehensive structure Ticket Structure: Title Description Objectives/Goals Definition of Done Requirements/Acceptance Criteria Implementation Details Risks & Challenges Testing & Validation Timeline & Milestones Related Notes & References Open Questions Memory Buffer Type: Window Buffer Memory Purpose: Maintains context across conversation Slack Output Posts fully-formatted tickets back to your channel Uses markdown for clean, structured presentation 🔍 Design Rationale & Best Practices Replace Your PM's Ticket Creation Time Let your PM focus on strategy while AI handles the documentation. Cut ticket creation time by 90%. Standardized Quality Every ticket follows best practices with consistent structure, detail level, and formatting. No Training Required Describe your needs conversationally - the AI adapts to your communication style. Seamless Integration Works within your existing Slack workflow - no new tools to learn.

This workflow integrates Flowise Multi-Agent Chatflows into a custom-branded n8n chatbot, enabling real-time interaction between users and AI agents powered by large language models (LLMs). Key Advantages: ✅ Easy Integration with Flowise: Uses a low-code HTTP node to send user questions to Flowise's API (/api/v1/prediction/FLOWISE_ID) and receive intelligent responses. Supports multi-agent chatflows, allowing for complex, dynamic interactions. 🎨 Customizable Chatbot UI: Includes pre-built JavaScript for embedding the n8n chatbot into any website. Provides customization options such as welcome messages, branding, placeholder text, chat modes (e.g., popup or embedded), and language support. 🔐 Secure & Configurable: Authorization via Bearer token headers for Flowise API access. Clearly marked notes in the workflow for setting environment variables like FLOWISE_URL and FLOW_ID. How It Works Chat Trigger: The workflow starts with the When chat message received node, which acts as a webhook to receive incoming chat messages from users. HTTP Request to Flowise: The received message is forwarded to the Flowise node, which sends a POST request to a Flowise API endpoint (https://FLOWISEURL/api/v1/prediction/FLOWISE_ID). The request includes the user's input as a JSON payload ({"question": "{{ $json.chatInput }}"}) and uses HTTP header authentication (e.g., Authorization: Bearer FLOWSIE_API). Response Handling: The response from Flowise is passed to the Edit Fields node, which maps the output ($json.text) for further processing or display. Set Up Steps Configure Flowise Integration: Replace FLOWISEURL and FLOWISE_ID in the HTTP Request node with your Flowise instance URL and flow ID. Ensure the Authorization header is set correctly in the credentials (e.g., Bearer FLOWSIE_API). Embed n8n Chatbot: Use the provided JavaScript snippet in the sticky notes to embed the n8n chatbot on your website. Replace YOUR_PRODUCTION_WEBHOOK_URL with the webhook URL generated by the When chat message received node. Customize the chatbot's appearance and behavior (e.g., welcome messages, language, UI elements) using the createChat configuration options. Optional Branding: Adjust the sticky note examples to include branding details, such as custom messages, colors, or metadata for the chatbot. Activate Workflow: Toggle the workflow to "Active" in n8n and test the chat functionality end-to-end. Ideal Use Cases: Embedding branded AI assistants into websites. Connecting Flowise-powered agents with customer support chatbots. Creating dynamic, smart conversational flows with LLMs via n8n automation. Need help customizing? Contact me for consulting and support or add me on Linkedin.

🎯 Workflow Goal Still manually checking form responses in your inbox? What if every submission landed neatly in Airtable — and you got a clean Slack message instantly? That’s exactly what this workflow does. No code, no delay — just a smooth automation to keep your team in the loop: Tally → Airtable → Slack Build an automated flow that: receives Tally form submissions, cleans up the data into usable fields, stores the results in Airtable, and automatically notifies a Slack channel. Step 1 – Connect Tally to n8n What we’re setting up A Webhook node in POST mode. Technical Add a Webhook node. Set it to POST. Copy the generated URL. In Tally → Integrations → Webhooks → paste this URL. Submit a test response on your form to capture a sample structure. Step 2 – Clean the data After connecting Tally, you now receive raw data inside a fields[] array. Let’s convert that into something clean and structured. Goal Extract key info like Full Name, Email, Phone, etc. into simple keys. What we’re doing Add a Set node to remap and clean the fields. Technical Add a Set node right after the Webhook. Add new values (String type) manually: Name: Full Name → Value: {{$json"fields"["value"]}} Name: Email → Value: {{$json"fields"["value"]}} Name: Phone → Value: {{$json"fields"["value"]}} (Adapt the indexes based on your form structure.) Use the data preview in the Webhook node to check the correct order. Output You now get clean data like: { "Full Name": "Jane Doe", "Email": "jane@example.com", "Phone": "+123456789" } Step 3 – Send to Airtable ✅ Once the data is cleaned, let’s store it in Airtable automatically. Goal Create one new Airtable row for each form submission. What we’re setting up An Airtable – Create Record node. Technical Add an Airtable node. Authenticate or connect your API token. Choose the base and table. Map the fields: Name: {{$json["Full Name"]}} Email: {{$json["Email"]}} Phone: {{$json["Phone"]}} Output Each submission creates a clean new row in your Airtable table. Step 4 – Add a delay ⌛ After saving to Airtable, it’s a good idea to insert a short pause — this prevents actions like Slack messages from stacking too fast. Goal Wait a few seconds before sending a Slack notification. What we’re setting up A Wait node for X seconds. ✅ Technical Add a Wait node. Choose Wait for X minutes. Step 5 – Send a message to Slack 💬 Now that the record is stored, let’s send a Slack message to notify your team. Goal Automatically alert your team in Slack when someone fills the form. What we’re setting up A Slack – Send Message node. Technical Add a Slack node. Connect your account. Choose the target channel, like #leads. Use this message format: New lead received! Name: {{$json["Full Name"]}} Email: {{$json["Email"]}} Phone: {{$json["Phone"]}} Output Your Slack team is notified instantly, with all lead info in one clean message. Workflow Complete Your automation now looks like this: Tally → Clean → Airtable → Wait → Slack Every submission turns into clean data, gets saved in Airtable, and alerts your team on Slack — fully automated, no extra work.

> ⚠️ Disclaimer: This workflow uses Scrapeless and Claude AI via community nodes, which require n8n self-hosted to work properly. 🔁 How It Works This intelligent B2B lead generation workflow combines search automation, website crawling, AI analysis, and multi-channel output: It starts by using Scrapeless’s Deep Serp API to find company websites from targeted Google Search queries. Each result is then individually crawled using Scrapeless's Crawler module, retrieving key business information from pages like /about, /contact, /services. The raw web content is processed via a Code node to clean, extract, and prepare structured data. The cleaned data is passed to Claude Sonnet (Anthropic) which analyzes and qualifies the lead based on content richness, contact data, and relevance. A filter step ensures only high-quality leads (e.g. lead score ≥ 6) are kept. Sent via Discord webhook for real-time notification (can be replaced with Slack, email, or CRM tools). > 📌 The result is a fully automated system that finds, qualifies, and organizes B2B leads with high efficiency and minimal manual input. ✅ Pre-Conditions Before using this workflow, make sure you have: An n8n self-hosted instance A Scrapeless account and API key (get it here) An Anthropic Claude API key A configured Discord webhook URL (or alternative notification service) ⚙️ Workflow Overview Manual Trigger → Scrapeless Google Search → Item Lists → Scrapeless Crawler → Code (Data Cleaning) → Claude Sonnet → Code (Response Parser) → Filter → Discord Notification 🔨 Step-by-Step Breakdown Manual Trigger – For testing purposes (can be replaced with Cron or Webhook) Scrapeless Google Search – Queries target B2B topics via Scrapeless’s Deep SERP API Item Lists – Splits search results into individual items Scrapeless Crawler – Visits each company domain and scrapes structured content Code Node (Data Cleaner) – Extracts and formats content for LLM input Claude Sonnet (via HTTP Request) – Evaluates lead quality, relevance, and contact info Code Node (Parser) – Parses Claude’s JSON response IF Filter – Filters leads based on score threshold Discord Webhook – Sends formatted message with company info 🧩 Customization Guidance You can easily adjust the workflow to match your needs: Lead Criteria**: Modify the Claude prompt and scoring logic in the Code node Output Channels**: Replace the Discord webhook with Slack, Email, Airtable, or any CRM node Search Topics**: Change your query in the Scrapeless SERP node to find leads in different niches or countries Scoring Threshold**: Adjust the filter logic (lead_score >= 6) to match your quality tolerance 🧪 How to Use Insert your Scrapeless and Claude API credentials in the designated nodes Replace or configure the Discord webhook (or alternative outputs) Run the workflow manually (or schedule it) View qualified leads directly in your chosen notification channel 📦 Output Example Each qualified lead includes: 🏢 Company Name 🌐 Website ✉️ Email(s) 📞 Phone(s) 📍 Location 📈 Lead Score 📝 Summary of relevant content 👥 Ideal Users This workflow is perfect for: AI SaaS companies** targeting mid-market & enterprise leads Marketing agencies** looking for B2B-qualified leads Automation consultants** building scraping solutions No-code developers** working with n8n, Make, Pipedream Sales teams** needing enriched prospecting data

This n8n workflow verifies the deliverability of mailing addresses stored in Groundhogg CRM by integrating with Lob’s address verification service. Who is this for? This template is designed for Groundhogg CRM users who need to ensure the accuracy of mailing addresses stored in their CRM systems. What problem is this workflow solving? / Use Case This workflow addresses the challenge of maintaining accurate mailing addresses in CRM databases by verifying the deliverability of addresses. What this workflow does A new contact is created in Groundhogg CRM Webhook sent to n8n Verify if the address is deliverable via LOB Report back to Groundhogg CRM Set Up Steps Watch this setup video: https://www.youtube.com/watch?v=nrV0P0Yz8FI Takes 10-30 minutes to set up Accounts Needed: Groundhogg CRM LOB Account (https://www.lob.com $0.00/mo 300 US addresses Verifications) n8n Before using this template, ensure you have API keys for your Groundhogg CRM app and Lob. Set up authentication for both services within n8n. How to customize this workflow to your needs You can customize this workflow by adjusting the trigger settings to match Groundhogg CRM’s workflow configuration. Additionally, you can modify the actions taken based on the deliverability outcome, such as updating custom fields or sending notifications.

Lead Qualification & Smart Outreach — Automated Scoring System Automate your lead intake, scoring, and outreach pipeline. This workflow collects leads from forms, enriches and scores them using Relevance AI, routes them by quality, and triggers the right follow-up — all without manual busywork. 🚀 What it Does Collects leads from your forms in real-time. Enriches each lead (individual + company) for better context. Scores leads automatically using Relevance AI templates. Routes leads into HOT / WARM / COLD tiers for prioritization. Drafts or sends personalized outreach emails for each tier. Logs all leads and outcomes into your CRM or Google Sheets. Notifies your team (e.g., via Slack) when a hot lead arrives. 🧩 Why Use It Save time:** stop manually sorting through raw leads. Focus on the best opportunities:** route only top leads to your sales team. Personalized outreach:** automated but tailored by lead quality. Scalable & repeatable:** works for startups, agencies, or larger teams. Adaptable:** swap CRMs, forms, or email providers easily. 🔧 Prerequisites & Setup Before importing or running the workflow, set up these connections: Relevance AI** Clone the tools (Resources provided in the workflow) for lead scoring and company scoring, and copy your API key into the HTTP Request nodes. Form Intake** Use n8n’s built-in form trigger or connect Typeform, Tally, HubSpot Forms, or any webhook-based intake. CRM or Database** Start with Google Sheets (included in the sample workflow) or connect HubSpot, Salesforce, Pipedrive, Zoho, Airtable, Notion, or any SQL/NoSQL DB. Email Provider** Use Gmail (included), or swap in Outlook, HubSpot Email, SendGrid, Mailgun, etc. Team Notifications (Optional)** Configure Slack (or other tools) for instant alerts on hot leads. ⚙️ How It Works (Simplified Flow) Lead Intake: Collects leads from your form or CRM. Lead Enrichment: Uses Relevance AI to score: Individual Fit: role, expertise, influence. Company Fit: size, industry, market relevance. Scoring & Insights: Combines both into a final lead score with labels and notes. Routing: Splits leads into HOT / WARM / COLD tiers. Outreach: HOT → drafts a review-ready email for your team. WARM / COLD → auto-sends appropriate follow-up emails. Logging & Alerts: Saves structured data to your CRM or sheet and notifies your team of hot leads. 🙋‍♂️ Who is This For Startups & SaaS teams** that need to prioritize a flood of inbound leads. Agencies & consultancies** qualifying prospects from ads or webinars. Small sales teams** that want to spend time only on the best leads. Freelancers or solopreneurs** who want a lightweight but effective qualification process. Automation newbies* who want a production-ready system to *sell for 1k-3k** 💡 Why It Stands Out Real intelligence:** uses data-driven Relevance AI scoring rather than static rules. Action-oriented:** routes and triggers the right next step immediately. Personalized yet scalable:** adapts outreach to each lead tier. Flexible integrations:** works with most popular CRMs, forms, and email tools. 🔥 Best Practices & Tips Adjust the weighting of individual vs. company scores in your Relevance AI template (default: 40% vs 60%). Tune Router thresholds (e.g., HOT ≥ 80, WARM 60-79, COLD < 60) to match your sales goals. Add a human approval step for high-value deals. Expand with enrichment APIs (e.g., Clearbit, Apollo) for richer lead data. Keep all API keys private and out of screenshots or repos. 🎉 With this workflow, Sales teams can focus on building relationships — while the system qualifies and organizes leads automatically OR You can sell to sales teams for ~3k Note: Demo data is pinned in some nodes to help you understand what the data looks like. Make sure to unpin those nodes when using for production.

This workflow automates the post-publish process for YouTube videos, combining advanced SEO optimization, cross-platform promotion, and analytics reporting. It is designed for creators, marketers, and agencies who want to maximize the reach and performance of their YouTube content with minimal manual effort. Features SEO Automation** Fetches video metadata and analyzes competitor and trending data. Uses AI to generate SEO-optimized titles, descriptions, and tags. Calculates an SEO score and applies A/B testing logic to select the best title. Updates the video metadata on YouTube automatically. Cross-Platform Promotion** Generates platform-specific promotional content (LinkedIn, X/Twitter, Instagram, Facebook, etc.) using AI. Publishes posts to each connected social channel. Extracts video clips and analyzes thumbnails for enhanced promotion. Engagement Monitoring & Analytics** Monitors YouTube comments, detects negative sentiment, and drafts AI-powered replies. Logs all key data (videos, comments, analytics) to Google Sheets for tracking and reporting. Runs a weekly analytics job to aggregate performance, calculate engagement/viral indicators, and email a detailed report. Notifications & Alerts** Sends Slack alerts when a new video is published or when viral potential/negative comments are detected. How It Works Trigger The workflow starts automatically when a new YouTube video is published (via webhook) or on a weekly schedule for analytics. Video Intake & SEO Fetches video details (title, description, tags, stats). Gathers competitor and trending topic data. Uses AI to generate improved SEO assets and calculates an SEO score. Selects the best title (A/B test) and updates the video metadata. Clip & Thumbnail Processing If the video is long enough, runs thumbnail analysis and extracts short clips for social media. Cross-Platform Promotion Generates and formats promotional posts for each social platform. Publishes automatically to enabled channels. Engagement & Comment Monitoring Fetches comments, detects negative sentiment, and drafts AI-powered replies. Logs comments and responses to Google Sheets. Analytics & Reporting Aggregates weekly analytics, calculates engagement and viral indicators. Logs insights and sends a weekly report via email. Notifications Sends Slack alerts for new video publications and viral/negative comment detection. Setup Instructions Connect YouTube Set up YouTube API credentials and required IDs in the Workflow Configuration node. Connect OpenAI Add your OpenAI credentials for AI-powered content generation. Connect Slack Configure Slack credentials and specify alert channels. Connect Google Sheets Set up service account credentials for logging video, comment, and analytics data. Configure Social Platforms Add credentials for LinkedIn, Twitter (X), Instagram, and Facebook as needed. Test the Workflow Publish a test video and verify that metadata updates, social posts, logging, and weekly reports are working as expected. Use Cases YouTube Creators:** Automate SEO, promotion, and analytics to grow your channel faster. Marketing Teams:** Streamline multi-channel video campaigns and reporting. Agencies:** Deliver consistent, data-driven YouTube growth for multiple clients. Requirements YouTube API credentials OpenAI API key Slack API token Google Sheets service account (Optional) LinkedIn, Twitter, Instagram, Facebook API credentials Limitations Requires valid API credentials for all connected services. AI-powered features depend on OpenAI API access. Social posting is limited to platforms with available n8n nodes and valid credentials. Tip: You can easily customize prompts, scoring logic, and enabled platforms to fit your channel’s unique needs.