Building your first WhatsApp chatbot
This n8n template builds a simple WhatsApp chabot acting as a Sales Agent. The Agent is backed by a product catalog vector store to better answer user's questions. This template is intended to help introduce n8n users interested in building with WhatsApp. How it works This template is in 2 parts: creating the product catalog vector store and building the WhatsApp AI chatbot. A product brochure is imported via HTTP request node and its text contents extracted. The text contents are then uploaded to the in-memory vector store to build a knowledgebase for the chatbot. A WhatsApp trigger is used to capture messages from customers where non-text messages are filtered out. The customer's message is sent to the AI Agent which queries the product catalogue using the vector store tool. The Agent's response is sent back to the user via the WhatsApp node. How to use Once you've setup and configured your WhatsApp account and credentials First, populate the vector store by clicking the "Test Workflow" button. Next, activate the workflow to enable the WhatsApp chatbot. Message your designated WhatsApp number and you should receive a message from the AI sales agent. Tweak datasource and behaviour as required. Requirements WhatsApp Business Account OpenAI for LLM Customising this workflow Upgrade the vector store to Qdrant for persistance and production use-cases. Handle different WhatsApp message types for a more rich and engaging experience for customers.
By JimleukFully automated AI video generation & multi-platform publishing
Description This comprehensive n8n automation template orchestrates a complete end-to-end workflow for generating engaging short-form Point-of-View (POV) style videos using multiple AI services and automatically publishing them across major social media platforms. It takes ideas from a Google Sheet and transforms them into finished videos with captions, voiceovers, and platform-specific descriptions, ready for distribution. Who Is This For? Content Creators & Agencies: Mass-produce unique short-form video content for various clients or channels with minimal manual effort. Digital Marketers: Automate video content pipelines to boost online presence and engagement across multiple platforms simultaneously. Social Media Managers: Schedule and distribute consistent video content efficiently without juggling multiple tools and manual uploads. Businesses: Leverage AI to create branded video content for marketing, reducing production time and costs. What Problem Does This Workflow Solve? Creating and distributing high-quality short-form video content consistently across multiple social networks is incredibly time-consuming and resource-intensive. This workflow tackles these challenges by: Automating Idea-to-Video Pipeline: Generates video concepts, image prompts, scripts, images, video clips, and voiceovers using AI. Streamlining Video Assembly: Automatically combines generated assets into a final video using a template. Generating Platform-Optimized Descriptions: Creates relevant descriptions for posts by transcribing the final video audio. Automating Multi-Platform Publishing: Uploads the final video and description to TikTok, Instagram, YouTube, Facebook, and LinkedIn simultaneously. Reducing Manual Workload: Drastically cuts down the time and effort required for video production and distribution. Centralized Tracking: Updates a Google Sheet with results, costs, and status for easy monitoring. How It Works Trigger & Input: Runs on a daily schedule (configurable) and fetches new video ideas from a designated Google Sheet. AI Content Generation: Uses OpenAI to generate video captions and image prompts based on the idea. Uses PiAPI (Flux) to generate images from prompts. Uses PiAPI (Kling) to generate video clips from the images (Image-to-Video). Uses OpenAI to generate a voiceover script based on the captions. Uses ElevenLabs to generate voiceover audio from the script and uploads it to Google Drive. Video Assembly: Combines the generated video clips, captions, and voiceover audio using a Creatomate template to render the final video. Description Generation: Uploads the final video to Google Drive, extracts the audio using OpenAI (Whisper), and generates a social media description using OpenAI (GPT). Multi-Platform Distribution: Uses upload-post.com to upload the final video and generated description to TikTok, Instagram, YouTube, Facebook, and LinkedIn. Tracking & Notification: Updates the original Google Sheet row with output details (video link, costs, tokens used) and sends a completion notification via Discord. Setup Accounts & API Keys: Obtain accounts and generate API keys/credentials for: n8n Google Cloud Platform (for Google Sheets & Google Drive APIs + OAuth Credentials) OpenAI PiAPI ElevenLabs Creatomate upload-post.com Discord (Webhook URL) Google Sheet: Make a copy of the provided Google Sheet Template and connect it in the Load Google Sheet node. Creatomate Template: Set up a video template in Creatomate (use the provided JSON source code as a base) and note its Template ID. Configure Nodes: Enter all API Keys/Credentials in the Set API Keys node and other relevant credential sections (Google nodes, upload-post nodes, etc.). Configure Google Drive nodes (Folder IDs, Permissions). Configure the upload-post.com nodes with your user identifier and necessary platform details (e.g., Facebook Page ID). Customize AI prompts within the OpenAI nodes (Generate Video Captions, Generate Image Prompts, Generate Script, Generate Description...) if desired. Set the Discord Webhook URL in the Notify me on Discord node. Enable Google APIs: Ensure Google Drive API and Google Sheets API are enabled in your Google Cloud Project. Requirements Accounts: n8n, Google (Sheets, Drive, Cloud Platform), OpenAI, PiAPI, ElevenLabs, Creatomate, The social media api Upload-Post, Discord. API Keys & Credentials: API Keys for OpenAI, PiAPI, ElevenLabs, Creatomate, upload-post.com. Google Cloud OAuth 2.0 Credentials. Discord Webhook URL. Templates: A configured Google Sheet based on the template, a configured Creatomate video template. (Potentially) Paid Plans: Some services (OpenAI, PiAPI, Creatomate, upload-post.com) may require paid plans depending on usage volume after free trials/credits are exhausted. Use this template to build a powerful, automated video content factory, scaling your production and distribution efforts across the social media landscape.
By Juan Carlos Cavero GraciaExtract text from a PDF file
Companion workflow for Read PDF node docs
By amudhanPersonal life manager with Telegram, Google services & voice-enabled AI
How it works: This project teaches you to create a personal AI assistant named Jackie that operates through Telegram. Jackie can summarize unread emails, check calendar events, manage Google Tasks, and handle both voice and text interactions. The assistant provides a comprehensive digital life management solution accessible via Telegram messaging. Key Features: Supports hands-free voice interaction Maintains conversation memory Integrates with major Google services Provides personalized assistance for email management, scheduling, and task organization Step-by-step: Telegram Trigger: The workflow starts with a Telegram trigger that listens for incoming message events. The system determines if the incoming message is voice or text input. Voice Processing: If a voice message is received, the workflow retrieves the voice file from Telegram and uses OpenAI's transcription API to convert speech to text. AI Assistant: The processed text (whether original text or transcribed voice) is passed to Jackie, the AI assistant powered by OpenRouter's language model. Tools Integration: Jackie is equipped with several productivity tools: Get Email: Uses Gmail API to fetch unread emails from the inbox with sender, date, subject, and summary information Google Calendar: Retrieves calendar events for specified dates, filtering out irrelevant future events Google Tasks: Both creates new tasks and retrieves existing tasks from Google Tasks lists API Keys Required: Telegram Bot API: Create a bot via @BotFather on Telegram to get your bot token OpenAI API: Required for voice-to-text transcription OpenRouter API: Powers the AI language model responses Google OAuth2: Needed for Gmail, Google Calendar, and Google Tasks integration Response Generation: The AI formulates intelligent responses based on the gathered information, current date context, and conversation history, then sends the response back to the user via Telegram in Markdown format.
By Derek CheungConversational Telegram bot with GPT-5/GPT-4o for text and voice messages
This n8n workflow leverages a Telegram Message Trigger to activate an intelligent AI Agent capable of processing both text and voice messages. When a user sends a message in text or in voice format, the workflow captures and transcribes it (if necessary), then passes it to the AI Agent for understanding and response generation. To enhance user experience, the bot also displays a typing indicator while processing requests, simulating a natural, human-like interaction. Key Features Multi-Modal Input: Supports both text messages and voice notes from users. Real-Time Interaction: Shows a “typing…” action in Telegram while the AI processes the input. AI Agent Integration: Provides intelligent, context-aware, and conversational responses. Seamless Feedback Loop: Replies are sent directly back to the user within Telegram for smooth interaction. How It Works The workflow triggers whenever a message or voice note is received on Telegram. If the input is a voice note, the workflow transcribes it into text. The text input is sent to the AI Agent for processing. While processing, the bot sends a typing indicator to the user. Once the AI generates a response, the workflow sends it back to the user in Telegram. Setup Instructions Create a Telegram Bot: Use @BotFather to create a bot and obtain your bot token. Configure n8n Credentials: Add Telegram API credentials in n8n with your bot token. Add credentials for any speech-to-text service used for voice transcription (e.g., Open AI Transcribe A Recording). Import the Workflow: Import this workflow into your n8n instance. Update all credential nodes to use your Telegram and transcription service credentials. Set Webhook URLs: Ensure Telegram webhook is set properly for your bot to receive messages. Make sure your n8n instance is publicly accessible for Telegram callbacks. Test the Workflow: Send text messages and voice notes to your Telegram bot and observe the AI responses. Customization Guidance Add new message handlers: Extend the workflow to handle additional message types (images, documents, etc.). Improve transcription: Swap or add speech-to-text services for better accuracy or language support. Enhance AI Agent: Customize prompts and context management to tailor the AI’s personality and responses. AI Model Flexibility: Swap between different AI models (e.g., GPT-5, GPT-4, Claude, or custom LLMs) based on task type, cost, or performance preferences. By default, I use GPT-4o in this template. However, you can use the latest GPT-5 model by changing them in OpenAI Chat Model Node. It will show you a list of all the available models to choose. Tool-Based Control: Add custom tools to the AI Agent such as calendar access, Notion, Google Sheets, web search, database queries, or custom APIs—allowing for dynamic, multi-functional agents Security and Implementation Notes The Telegram node manages message reception and sending but does not directly handle AI processing. Voice transcription requires integration with external APIs; secure those credentials in n8n and monitor usage. To simulate typing, the workflow uses Telegram’s “sendChatAction” API method, providing users with feedback that the bot is processing. Ensure your AI API keys and Telegram tokens are securely stored in n8n credentials and not exposed in workflows or logs. Benefits Handles natural conversational inputs with text or voice. Provides a smooth, engaging user experience via typing indicators. Easy integration of advanced AI conversational agents with Telegram. Flexible for personal assistants, helpdesks, or interactive chatbots.
By RoninimousAI Personal Assistant
Email Personal Assistant - Comprehensive Communication Manager This automation flow is designed to proactively monitor email, calendar, and Slack communications, analyze priorities across all channels, and generate a comprehensive daily briefing with actionable tasks for executive productivity management. ⚙️ How It Works (Step-by-Step): ⏰ Automated Daily Trigger Runs automatically on weekdays: Scheduled execution every weekday at 8:00 AM Manual trigger available for on-demand analysis Comprehensive daily communication audit 📧 Email Assistant Agent Analyzes inbox priorities and context: Scans unread emails across "To Respond" and "FYI" labels Checks email history to determine relationship context Identifies *company-related opportunities and partnerships Categorizes emails by urgency (High, Medium, Low) Cross-references with sent emails for follow-up context 📅 Follow-Up Assistant Agent Monitors meeting follow-up requirements: Reviews last 3 days of calendar meetings Fetches Fireflies transcripts for recorded sessions Identifies meetings without post-meeting communication Flags meetings requiring action items or follow-ups Checks sent emails and Slack for completed follow-ups 💬 Slack Assistant Agent Tracks Slack communication priorities: Monitors direct messages and @mentions Identifies unreplied Slack conversations Cross-references with email and calendar context Prioritizes responses based on sender importance Checks for threaded conversations requiring attention 🎯 Master Orchestrator Agent Synthesizes all communication data: Combines reports from all three assistant agents Cross-references with existing Google Sheets to-do list Prioritizes tasks by urgency and business impact Identifies correlations between different communication channels Creates comprehensive daily action plan 📊 Task Management Integration Automated tracking and delivery: Appends new tasks to Google Sheets to-do tracker Sends personalized daily briefing via Slack DM Maintains conversation memory for context continuity Tracks outstanding vs. completed items 🛠️ Tools Used: n8n: Workflow orchestration and scheduling Claude Sonnet 4 & Opus 4: Multi-agent AI analysis Gmail API: Email monitoring and history checking Google Calendar: Meeting tracking and scheduling Slack API: Message monitoring and user management Fireflies API: Meeting transcript analysis Google Sheets: Task tracking and persistence 📦 Key Features: Multi-channel communication monitoring (Email, Calendar, Slack) AI-powered priority assessment and context analysis Cross-platform relationship tracking and history Automated daily briefing generation and delivery Persistent task tracking with Google Sheets integration Meeting follow-up verification and flagging Conversation memory for continuity across sessions 🚀 Ideal Use Cases: C-level executives managing multiple communication channels Sales leaders tracking prospect interactions and follow-ups Business development professionals managing partnerships Busy professionals needing communication prioritization Teams requiring systematic follow-up management Anyone wanting automated daily productivity briefings
By Max MitchamProxmox AI agent with n8n and generative AI integration
Proxmox AI Agent with n8n and Generative AI Integration This template automates IT operations on a Proxmox Virtual Environment (VE) using an AI-powered conversational agent built with n8n. By integrating Proxmox APIs and generative AI models (e.g., Google Gemini), the workflow converts natural language commands into API calls, enabling seamless management of your Proxmox nodes, VMs, and clusters. Buy My Book: Mastering n8n on Amazon Full Courses & Tutorials: http://lms.syncbricks.com Watch Video on Youtube How It Works Trigger Mechanism The workflow can be triggered through multiple channels like chat (Telegram, email, or n8n's built-in chat). Interact with the AI agent conversationally. AI-Powered Parsing A connected AI model (Google Gemini or other compatible models like OpenAI or Claude) processes your natural language input to determine the required Proxmox API operation. API Call Generation The AI parses the input and generates structured JSON output, which includes: response_type: The HTTP method (GET, POST, PUT, DELETE). url: The Proxmox API endpoint to execute. details: Any required payload parameters for the API call. Proxmox API Execution The structured output is used to make HTTP requests to the Proxmox VE API. The workflow supports various operations, such as: Retrieving cluster or node information. Creating, deleting, starting, or stopping VMs. Migrating VMs between nodes. Updating or resizing VM configurations. Response Formatting The workflow formats API responses into a user-friendly summary. For example: Success messages for operations (e.g., "VM started successfully"). Error messages with missing parameter details. Extensibility You can enhance the workflow by connecting additional triggers, external services, or AI models. It supports: Telegram/Slack integration for real-time notifications. Backup and restore workflows. Cloud monitoring extensions. --- Key Features Multi-Channel Input: Use chat, email, or custom triggers to communicate with the AI agent. Low-Code Automation: Easily customize the workflow to suit your Proxmox environment. Generative AI Integration: Supports advanced AI models for precise command interpretation. Proxmox API Compatibility: Fully adheres to Proxmox API specifications for secure and reliable operations. Error Handling: Detects and informs you of missing or invalid parameters in your requests. --- Example Use Cases Create a Virtual Machine Input: "Create a VM with 4 cores, 8GB RAM, and 50GB disk on psb1." Action: Sends a POST request to Proxmox to create the VM with specified configurations. Start a VM Input: "Start VM 105 on node psb2." Action: Executes a POST request to start the specified VM. Retrieve Node Details Input: "Show the memory usage of psb3." Action: Sends a GET request and returns the node's resource utilization. Migrate a VM Input: "Migrate VM 202 from psb1 to psb3." Action: Executes a POST request to move the VM with optional online migration. --- Pre-Requisites Proxmox API Configuration Enable the Proxmox API and generate API keys in the Proxmox Data Center. Use the Authorization header with the format: PVEAPIToken=<user>@<realm>!<token-id>=<token-value> n8n Setup Add Proxmox API credentials in n8n using Header Auth. Connect a generative AI model (e.g., Google Gemini) via the relevant credential type. Access the Workflow Import this template into your n8n instance. Replace placeholder credentials with your Proxmox and AI service details. --- Additional Notes This template is designed for Proxmox 7.x and above. For advanced features like backup, VM snapshots, and detailed node monitoring, you can extend this workflow. Always test with a non-production Proxmox environment before deploying in live systems. Start with n8n Learn n8n with Amjid Get n8n Book What is Proxmox
By Amjid AliGmail AI Auto-Responder: Create Draft Replies to incoming emails
This workflow automatically generates draft replies in Gmail. It's designed for anyone who manages a high volume of emails or often face writer's block when crafting responses. Since it doesn't send the generated message directly, you're still in charge of editing and approving emails before they go out. How It Works: Email Trigger: activates when new emails reach the Gmail inbox Assessment: uses OpenAI gpt-4o and a JSON parser to determine if a response is necessary. Reply Generation: crafts a reply with OpenAI GPT-4 Turbo Draft Integration: after converting the text to html, it places the draft into the Gmail thread as a reply to the first message Set Up Overview (~10 minutes): OAuth Configuration (follow n8n instructions here): Setup Google OAuth in Google Cloud console. Make sure to add Gmail API with the modify scope. Add Google OAuth credentials in n8n. Make sure to add the n8n redirect URI to the Google Cloud Console consent screen settings. OpenAI Configuration: add OpenAI API Key in the credentials Tweaking the prompt: edit the system prompt in the "Generate email reply" node to suit your needs Detailed Walkthrough Check out this blog post where I go into more details on how I built this workflow. Reach out to me here if you need help building automations for your business.
By Nicolas ChourroutBuild an MCP server with Google Calendar and custom functions
Learn how to build an MCP Server and Client in n8n with official nodes. > ⚠ Requires n8n version 1.88.0 or higher. In this example, we use Google Calendar and custom functions as two separate MCP Servers, demonstrating how to integrate both native and custom tools. How it works The AI Agent connects to two MCP Servers. Each MCP Trigger (Server) generates a URL exposing its tools. This URL is used by an MCP Client linked to the AI Agent. Whenever you make changes to the tools, there’s no need to modify the MCP Client. It automatically keeps the AI Agent informed on how to use each tool, even if you change them over time. That’s the power of MCP 🙌 Who is this template for Anyone looking to use MCP with their AI Agents. How to set up Instructions are included within the workflow itself. Check out my other templates 👉 https://n8n.io/creators/solomon/
By SolomonScrape business leads from Google Maps using OpenAI and Google Sheets
Google Maps Data Extraction Workflow for Lead Generation This workflow is ideal for sales teams, marketers, entrepreneurs, and researchers looking to efficiently gather detailed business information from Google Maps for: Lead generation Market analysis Competitive research --- Who Is This Workflow For? Sales professionals aiming to build targeted contact lists Marketers looking for localized business data Researchers needing organized, comprehensive business information --- Problem This Workflow Solves Manually gathering business contact details from Google Maps is: Tedious Error-prone Time-consuming This workflow automates data extraction to increase efficiency, accuracy, and productivity. --- What This Workflow Does Automates extraction of business data (name, address, phone, email, website) from Google Maps Crawls and extracts additional website content Integrates OpenAI to enhance data processing Stores structured results in Google Sheets for easy access and analysis Uses Google Search API to fill in missing information --- Setup Import the provided n8n workflow JSON into your n8n instance. Set your OpenAI and Google Sheets API credentials. Provide your Google Maps Scraper and Website Content Crawler API keys. Ensure SerpAPI is configured to enhance data completeness. --- Customizing This Workflow to Your Needs Adjust scraping parameters: Location Business category Country code Customize Google Sheets output format to fit your current data structure Integrate additional AI processing steps or APIs for richer data enrichment --- Final Notes This structured approach ensures: Accurate and compliant data extraction from Google Maps Streamlined lead generation Actionable and well-organized data ready for business use 📄 Documentation: Notion Guide Demo Video 🎥 Watch the full tutorial here: YouTube Demo
By Dr. FirasPhishing analysis - URLScan.io and VirusTotal
This n8n workflow automates the analysis of email messages received in a Microsoft Outlook inbox to identify indicators of compromise (IOCs), specifically suspicious URLs. It can be triggered manually or scheduled to run daily at midnight. The workflow begins by retrieving up to 100 read email messages from the Outlook inbox. However, there seems to be a configuration issue as it should retrieve unread messages, not read ones. It then marks these messages as read to avoid processing them again in the future. The messages are then split into individual items using the Split In Batches node for sequential processing. For each email, the workflow analyzes its content to find URLs, which are considered potential IOCs. If URLs are found, the workflow proceeds to check these URLs for potential threats using two services, URLScan.io and VirusTotal, in parallel. In the first path, URLScan.io scans each URL, and if there are no errors, the results from URLScan.io and VirusTotal are merged. If there are errors, the workflow waits 1 minute before attempting to retrieve the URLScan results again. The loop then continues for the next email. In the second path, VirusTotal is used to scan the URLs, and the results are retrieved. Finally, the workflow checks if the data field is not empty, filtering out items where no data was found. It then sends a summarized Slack message to report details about the analyzed email, including the subject, sender, date, URLScan report URL, and VirusTotal verdict for URLs that were reported as malicious. Potential issues during setup include configuring the Outlook node to retrieve unread messages, resolving a configuration issue in the VirusTotal node, and handling authentication and API keys for both URLScan.io and VirusTotal nodes. Additionally, proper error handling and testing with various email content types and URLs are essential to ensure the workflow accurately identifies IOCs and reports them to the Slack channel.
By n8n TeamSend multiple emails in Gmail directly via Google Sheets
Send multiple emails in Gmail directly via Google Sheets [Video for workflow process](https://www.canva.com/design/DAF8VnLBBQA/BKog1CSHs7goAYse3mEzQ/watch?utmcontent=DAF8VnLBBQA&utmcampaign=designshare&utmmedium=link&utm_source=editor ) In today's fast-paced digital world, businesses are constantly seeking ways to streamline their processes and enhance customer engagement. One powerful tool that facilitates these goals is n8n, an automation platform that allows users to create workflows to automate tasks and workflows. Benefits of the Workflow: Efficiency: By automating the process of sending emails to customers based on data from Google Sheets, this n8n workflow significantly reduces manual effort and saves time. Accuracy: The workflow ensures that emails are sent to the right recipients at the right time by filtering items based on specific conditions and the current date. Personalization: Personalized emails can be sent to customers based on the information provided in the Google Sheet, resulting in enhanced customer engagement. Real-time Updates: The workflow updates the Google Sheet with the status of the sent emails, providing real-time insights into the communication process. Consistency: Through automation, this workflow helps maintain consistency in communication with customers, ensuring a seamless experience. Workflow Overview: The workflow begins with the "Google Sheets Trigger" node, which monitors a specified Google Sheet for new row additions. Upon detection of a new row, the workflow progresses to the "Filter Status (Waiting for sending)" node, where items are filtered based on specific conditions. Subsequently, the workflow moves to the "Filter Items by Current Date" node, which filters items based on the current date. Items matching the current date are then processed further. The filtered items are then forwarded to the "Gmail" node, where personalized emails are composed and sent to recipients based on the Google Sheet data. Finally, the workflow updates the Google Sheet using the "Google Sheets" node with the status of the sent emails and other relevant information. Copy this template to get started : Google Sheets Workflow Nodes Documentation: Schedule Trigger Filter Items by Current Date Gmail Google Sheets Filter Status (Waiting for sending) Set data Merge feild Conclusion: In conclusion, this n8n workflow presents a powerful solution for automating email communication processes based on Google Sheets data. By leveraging automation, businesses can enhance their operational efficiency, accuracy, and customer engagement. The seamless integration of nodes in this workflow streamlines the communication process and ensures timely and personalized interactions with customers. As businesses continue to prioritize efficiency and customer satisfaction, n8n workflows offer a versatile and effective means to achieve these objectives.
By AlQaisi