🚀 Boost your customer service with this WhatsApp Business bot!
This n8n workflow demonstrates how to automate customer interactions and appointment management via WhatsApp Business bot. After submitting a Google Form, the user receives a notification via WhatsApp. These notifications are sent via a template message. In case user sends a message to the bot, the text and user data is stored in Google Sheets. To reply back to the user, fill in the ReplyText column and change the Status to 'Ready'. In a few seconds n8n will fetch the unsent replies and deliver them one by one via WhatsApp Business node. Customize this workflow to fit your specific needs, connect different online services and enhance your customer communication! 🎉 Setup Instructions To get this workflow up and running, you'll need to: 👇 Create a WhatsApp template message on the Meta Business portal. <details></details> Obtain an Access Token and WhatsApp Business Account ID from the Meta Developers Portal. This is needed for the WhatsApp Business Node to send messages. Set up a WhatsApp Trigger node with App ID and App Secret from the Meta Developers Portal. Right after that copy the WhatsApp Trigger URL and add it as a Callback URL in the Meta Developers Portal. This trigger is needed to receive incoming messages and their status updates. Connect your Google Sheets account for data storage and management. Check out the documentation page. ⚠️ Important Notes WhatsApp allows automatic custom text messages only within 24 hours of the last user message. Outside with time frame only approved template messages can be sent. The workflow uses a Google Sheet to manage form submissions, incoming messages and prepare responses. You can replace these nodes and connect the WhatsApp bot with other systems.
By EduardContent farming - : AI-powered blog automation for WordPress
==🔥 Upgrade to V4== We’ve released Version 4 of our AI Powered Blog Automation workflow. We heard your complains and made a complete redesign built for serious content creators. ChatGPT 5, Inbound Links, Verified Outbound Links,YOAST seo integration, Company profile, higher SEO ranking, banner images using companys mascot, FAQ sections and conclusions, 35% cost reduction, 📝 Read the New Articles published by Content Farming v4 🛒 View the updated and improved v4 workflow Content Farming V2 AI Powered Blog Automation for WordPress This workflow automatically generates and publishes 10 blog posts per day to a WordPress site. It collects tech-related news articles, filters and analyzes them for relevance, expands them with research, generates SEO-optimized long-form articles using AI, creates a matching image using Leonardo AI, and publishes them via the WordPress REST API. Every step is tracked and stored in MongoDB for reference and performance tracking. You can see the demo results for the AI based articles here: Emp0 Articles How it works A scheduler runs daily to fetch the latest news from RSS feeds including BBC, TechCrunch, Wired, MIT Tech Review, HackerNoon, and others. The RSS data is normalized and filtered to include only articles published within the past 24 hours. Each article is passed through an OpenAI-powered classifier to check for relevance to predefined user topics like AI, robotics, or tech policy. Relevant articles are then aggregated, researched, and summarized with supporting sources and citations. An AI agent generates five long-tail SEO blog title ideas, ranks them by uniqueness and performance score, and selects the top one. A blog outline is created including H1 and H2 headers, keyword targeting, content structure, and featured snippet optimization. A full-length article (1000 to 1500 words) is generated based on the outline, with analogies, citations, examples, and keyword density maintained. SEO metadata is produced including meta title, description, image alt text, slug, and a readability audit. An AI-generated image is created based on the blog theme using Leonardo AI, enhanced for emotional storytelling and visual consistency. The blog article, metadata, and image are uploaded to WordPress as a draft, the image is attached, Yoast SEO metadata is set, and the article is published. All outputs including article versions, metadata, generation steps, and final blog URLs are stored in MongoDB to allow for future analytics and feedback. Requirements To run this project, you need accounts and API access for the following: | Tool | Purpose | Notes | |--------------|------------------------------------------------------------------|-----------------------------------------------------------------------| | OpenAI | Used for blog classification, generation, summarization, SEO | Around $0.20 per day, using GPT-4o-mini. Estimated monthly: $6 | | MongoDB | Stores data flexibly including drafts, titles, metadata, logs | Free tier on MongoDB Atlas offers 512 MB, enough for 64,000 articles | | Leonardo AI | Generates featured images for blog articles | $9 for 3500 credits, $5 monthly top-up needed for 300 images | | WordPress | Final publishing platform via REST API | Hosted on Hostinger for $15/year including domain | Setup Instructions Import the provided JSON file into your n8n instance. Configure these credentials in n8n: OpenAI API key MongoDB Atlas connection string HTTP Header Auth for Leonardo AI WordPress REST API credentials Modify the classifier and prompt nodes to reflect your preferred content themes. Adjust scheduler nodes if you want to change post frequency or publishing times. Run the n8n instance continuously using Docker, PM2, or hosted automation platform. Cost Estimate | Component | Daily Usage | Monthly Cost Estimate | |---------------|------------------------------|------------------------| | OpenAI | 10 posts per day | ~$6 | | Leonardo AI | 10 images per day (15 credits each) | ~$14 (9 base + 5 top-up) | | MongoDB | Free up to 512 MB | $0 | | WordPress | Hosting and domain | ~$1.25 | | Total | | ~$21/month | Observations and Learnings This system can scale daily article publishing with zero manual effort. However, current limitations include inconsistent blog length and occasional coherence issues. To address this, I plan to build a feedback loop within the workflow: An SEO Commentator Agent will assess keyword strength, structure, and discoverability. An Editor-in-Chief Agent will review tone, clarity, and narrative structure. Both agents will loop back suggestions to the content generator, improving each draft until it meets human-level standards. The final goal is to consistently produce high-quality, readable, SEO-optimized content that is indistinguishable from human writing.
By Jay Emp0Generate SEO seed keywords using AI
What this workflow does: This flow uses an AI node to generate Seed Keywords to focus SEO efforts on based on your ideal customer profile. You can use these keywords to form part of your SEO strategy. Outputs: List of 20 Seed Keywords Setup Fill the Set Ideal Customer Profile (ICP) Connect with your credentials Replace the Connect to your own database with your own database Pre-requisites / Dependencies You know your ideal customer profile (ICP) An AI API account (either OpenAI or Anthropic recommended) More templates and n8n workflows >>> @simonscrapes
By simonscrapesGenerate video from prompt using Vertex AI Veo 3 and upload to Google Drive
Who’s it for This template is perfect for content creators, AI enthusiasts, marketers, and developers who want to automate the generation of cinematic videos using Google Vertex AI’s Veo 3 model. It’s also ideal for anyone experimenting with generative AI for video using n8n. What it does This workflow: Accepts a text prompt and a GCP access token via form. Sends the prompt to the Veo 3 (preview model) using Vertex AI’s predictLongRunning endpoint. Waits for the video rendering to complete. Fetches the final result and converts the base64-encoded video to a file. Uploads the resulting .mp4 to your Google Drive. Output How to set up Enable Vertex AI API in your GCP project: https://console.cloud.google.com/marketplace/product/google/aiplatform.googleapis.com Authenticate with GCP using Cloud Shell or local terminal: gcloud auth login gcloud config set project [YOURPROJECTID] gcloud auth application-default set-quota-project [YOURPROJECTID] gcloud auth print-access-token Copy the token and use it in the form when running the workflow. ⚠️ This token lasts ~1 hour. Regenerate as needed. Connect your Google Drive OAuth2 credentials to allow file upload. Import this workflow into n8n and execute it via form trigger. Requirements n8n (v1.94.1+) A Google Cloud project with: Vertex AI API enabled Billing enabled A way to get Access Token gcloud auth print-access-token A Google Drive OAuth2 credential connected to n8n How to customize the workflow You can modify the durationSeconds aspectRatio generateAudio in the HTTP node to match your use case. Replace the Google Drive upload node with alternatives like Dropbox, S3, or YouTube upload. Extend the workflow to add subtitles, audio dubbing, or LINE/Slack alerts. Step-by-step for each major node: Prompt Input → Vertex Predict → Wait → Fetch Result → Convert to File → Upload Best Practices Followed No hardcoded API tokens Secure: GCP token is input via form, not stored in workflow All nodes are renamed with clear purpose All editable config grouped in Set node External References GCP Veo API Docs: https://cloud.google.com/vertex-ai/docs/generative-ai/video/overview Disclaimer This workflow uses official Google Cloud APIs and requires a valid GCP project. Access token should be generated securely using gcloud CLI. Do not embed tokens in the workflow itself. Notes on GCP Access Token To use the Vertex AI API in n8n securely: Run the following on your local machine or GCP Cloud Shell: gcloud auth login gcloud config set project your-project-id gcloud auth print-access-token Paste the token in the workflow form field YOURACCESSTOKEN when submitting. Do not hardcode the token into HTTP nodes or Set nodes — input it each time or use a secure credential vault.
By Jaruphat J.⚡📽️ Ultimate AI-powered chatbot for YouTube summarization & analysis
🎥 YouTube Video AI Agent Workflow This n8n workflow template allows you to interact with an AI agent that extracts details and the transcript of a YouTube video using a provided video ID. Once the details and transcript are retrieved, you can chat with the AI agent to explore or analyze the video's content in a conversational and insightful manner. 🌟 How the Workflow Works 🔗 Input Video ID: The user provides a YouTube video ID as input to the workflow. 📄 Data Retrieval: The workflow fetches essential details about the video (e.g., title, description, upload date) and retrieves its transcript using YouTube's Data API and additional tools for transcript extraction. 🤖 AI Agent Interaction: The extracted details and transcript are processed by an AI-powered agent. Users can then ask questions or engage in a conversation with the agent about the video's content, such as: Summarizing the transcript. Analyzing key points. Clarifying specific sections. 💬 Dynamic Responses: The AI agent uses natural language processing (NLP) to generate contextual and accurate responses based on the video data, ensuring a smooth and intuitive interaction. --- 🚀 Use Cases 📊 Content Analysis: Quickly analyze long YouTube videos by querying specific sections or extracting summaries. 📚 Research and Learning: Gain insights from educational videos or tutorials without watching them entirely. ✍️ Content Creation: Repurpose transcripts into blogs, social media posts, or other formats efficiently. ♿ Accessibility: Provide an alternative, text-based way to interact with video content for users who prefer reading over watching. --- 🛠️ Resources for Getting Started Google Cloud Console (for API setup): Visit Google Cloud's Get Started Guide to configure your API access. YouTube Data API Key Setup: Follow this guide to create and manage your YouTube Data API key. Install n8n Locally: Refer to this installation guide for setting up n8n on your local machine. --- ✨ Sample Prompts "Tell me about this YouTube video with id: JWfNLF_g_V0" "Can you provide a list of key takeaways from this video with id: [youtube-video-id]?"
By Joseph LePageGet weather forecast via Telegram
A workflow to receive weather updates on demand using a Telegram bot. The workflow is triggered using the Telegram Trigger node by issuing a message to the Telegram bot. The OpenWeatherMap node queries the weather API and returns the result using the Telegram node.
By tanaypantSend an email
Companion workflow for Send Email node docs
By amudhanGet started with Google Sheets in n8n
A hands-on starter workflow that teaches beginners how to: Pull rows from a Google Sheet Append a new record that mimics a form submission Generate AI-powered text with GPT-4o based on a “Topic” column Write the AI output back into the correct row using an update operation Along the way you’ll learn the three essential Google Sheets operations in n8n (read → append → update), see how to pass sheet data into an OpenAI node, and document each step with sticky-note instructions—perfect for anyone taking their first steps in no-code automation. 0️⃣ Prerequisites Google Sheets Open Google Cloud Console → create / select a project. Enable Google Sheets API under APIs & Services. Create an OAuth Desktop credential and connect it in n8n. Share the spreadsheet with the Google account linked to the credential. OpenAI Create a secret key at <https://platform.openai.com/account/api-keys>. In n8n → Credentials → New → choose OpenAI API and paste the key. Sample sheet to copy (make your own copy and use its link) <https://docs.google.com/spreadsheets/d/15i9WIYpqc5lNd5T4VyM0RRptFPdi9doCbEEDn8QglN4/edit?usp=sharing> --- 1️⃣ Trigger Manual Trigger – lets you run on demand while learning. (Swap for a Schedule or Webhook once you automate.) --- 2️⃣ Read existing rows Node: Get Rows from Google Sheets Reads every row from Sheet1 of your copied file. --- 3️⃣ Generate a demo row Node: Generate 1 Row of Data (Set node) Pretends a form was submitted: Name, Email, Topic, Submitted = "Yes" --- 4️⃣ Append the new row Node: Append Data to Google Operation append → writes to the first empty line. --- 5️⃣ Create a description with GPT-4o OpenAI Chat Model – uses your OpenAI credential. Write description (AI Agent) – prompt = the Topic. Structured Output Parser – forces JSON like: { "description": "…" }. --- 6️⃣ Update that same row Node: Update Sheets data Operation update. Matches on column Email to update the correct line. Writes the new Description cell returned by GPT-4o. --- 7️⃣ Why this matters Demonstrates the three core Google Sheets operations: read → append → update. Shows how to enrich sheet data with an AI step and push the result right back. Sticky Notes provide inline docs so anyone opening the workflow understands the flow instantly. --- 👤 Need help? Robert Breen – Automation Consultant ✉️ robert.j.breen@gmail.com 🔗 <https://www.linkedin.com/in/robert-breen-29429625/>
By Robert BreenTime logging on Clockify using Slack
Time Logging on Clockify Using Slack How it works This workflow simplifies time tracking for teams and agencies by integrating Slack with Clockify. It enables users to log, update, or delete time entries directly within Slack, leveraging an AI-powered assistant for seamless and conversational interactions. Key features include: Effortless Time Logging: Create and manage time entries in Clockify without leaving Slack. AI-Powered Assistant: Get step-by-step guidance to ensure accurate and efficient time logging. Project and Client Management: Retrieve project and client information from Clockify effortlessly. Overlap Prevention: Avoid overlapping entries with built-in time validation. Automated Descriptions: Generate ethical, grammatically correct descriptions for time logs. Set up steps Prepare your integrations Ensure you have active accounts for both Slack and Clockify. Generate your Clockify API credentials for integration. Import the workflow Download and import the workflow template into your n8n instance. Configure the workflow to connect with your Slack and Clockify accounts. Configure the workflow Add your Clockify API credentials in the workflow settings. Set up the Slack Trigger to listen for app mentions or specific commands. Test the workflow Use Slack to create a time entry and verify it in Clockify. Test updating and deleting existing entries to ensure smooth functionality. Check for any overlapping time logs or incorrect data entries. Why use this workflow? Efficiency: Eliminate the need to switch between tools for time tracking. Accuracy: AI-driven validation ensures error-free entries. Automation: Simplify repetitive tasks like updating or deleting time logs. Proactive Guidance: Conversational assistant ensures smooth operations.
By Blockia LabsAuto-generate & publish SEO articles to WordPress with GPT-4 + Postgres tracking
🚀 What this flow does • 🔎 Selects the least-used WordPress category (tracked in PostgreSQL) • 🤖 Uses GPT (4-mini or better) to generate a fully formatted SEO article with headings, TOC, lists, CTA, and Yoast blocks • 🖼️ Creates a placeholder cover image and uploads it to WordPress Media • 📬 Publishes the final post via /wp-json/wp/v2/posts with correct category + featured image • 🧠 Logs the used category for future rotation (zero duplicates!) ⚙️ Setup in 3 mins 🏷️ Add your WordPress domain with a simple Set node: domain=https://yourdomain.com 🔐 Create these 3 credentials in n8n: YOURWORDPRESSCREDENTIAL — for /media, /posts YOURPOSTGRESCREDENTIAL — for category tracking YOUROPENAICREDENTIAL — GPT-4-mini or better 🧱 Run the SQL from docs to create the used_categories table ✅ Manually test first 3–5 nodes to check WP auth, OpenAI response, and DB connection 🕒 Then just schedule it and let the bot write for you. 🎯 Why it's awesome This is your personal AI content writer + publisher — perfect for: • 📰 SEO content farms • 📈 Affiliate blogs • 🧰 Micro niche sites • 🤫 PBNs with rotation-safe automation No more manual uploads, broken categories, or GPT spam. Every post is structured, beautiful, and intelligently categorized.
By AlexWantMoreBWebsite monitoring, scheduling, and email alerts template
🛠 Website Downtime Monitoring with Scheduled Checks and Email Alerts Easily monitor your website uptime and receive instant email alerts when it becomes unreachable — using this no-code template powered by n8n, a free and flexible workflow automation tool. This ready-to-use workflow periodically checks your website’s status and sends an alert email if it’s down. --- ⚙️ How it Works Schedule Website Check Triggers the workflow at regular intervals (e.g., every 8 hours by default). Check Website Status Sends an HTTP GET request to your site. Evaluate Response Determines if the site is reachable (expects HTTP status 200). Send Downtime Alert If the site is down, an alert email is sent to the specified address. --- 🔧 Steps to Customize HTTP Request Node Replace https://yourdomain.com with your actual website URL. Send Email Node Update the To Email and From Email fields with your addresses. Adjust Monitoring Frequency Modify the Schedule Trigger node to run every 5 minutes, hourly, or as needed. --- ✅ SMTP Configuration Instructions Before emails can be sent, you need to configure SMTP credentials in n8n. 📨 Option 1: Gmail SMTP Setup > Note: Gmail requires App Passwords (not your regular Gmail password) and 2FA to be enabled. Steps: Go to Google Account Security Settings. Enable 2-Step Verification. Go to App Passwords. Create a new app password (choose Mail and Other, name it n8n). In n8n: Go to Credentials → Create New → SMTP. Use the following values: Host: smtp.gmail.com Port: 465 (SSL) or 587 (TLS) User: your Gmail address (e.g., you@gmail.com) Password: the App Password you generated ✉️ Option 2: Generic SMTP Setup Use this if you're using your hosting provider's or business email SMTP server. Example Values: Host: smtp.yourdomain.com or provider-specific (e.g., smtp.sendgrid.net) Port: 587 (TLS) or 465 (SSL) User: your email address (e.g., alerts@yourdomain.com) Password: your email/SMTP password Secure: Yes (if using 465 or TLS-enabled 587) Then in the workflow's Send Email node, select the SMTP credentials you created. --- 📌 Requirements A running instance of n8n (self-hosted or n8n.cloud) SMTP credentials configured in n8n for email delivery Basic familiarity with the n8n visual editor --- 🧠 Pro Tips Rename Nodes: Use clear, descriptive names for maintainability. Sticky Notes: Use stickies on the canvas to help explain logic for others. Expand Alerts: Integrate with Slack, Discord, or Telegram for multi-channel alerts.
By Anandkumar CSend Instagram statistics to Mattermost
This worflow let us know main stat on our Instagram : this is the first i share with community as i am a beginner :) Every morning i know how many follower we have, how many posts have been made. I use a fantastic tool which is : https://socialblade.com and also : https://martechwithme.com/monitoring-youtube-channels-subscribers-with-google-sheets/ to send them to Google Sheets Hope this could help :) This can be improved for sure, so i will be very pleased to have your comments thanks --------------------------- French version : :) Ce schéma permet d'avoir les statistiques de notre Instagram : combien de followers et combien de posts ont été réalisés. Ces données sont publiées sur MAttermost. J'utilise un outil génial pour récupérer les données de instagram : https://socialblade.com puis https://martechwithme.com/monitoring-youtube-channels-subscribers-with-google-sheets/ pour les récupérer sur Google Sheets
By damien