by Femi Ad
Google Sheets to MailChimp Auto-Importer Overview This n8n workflow automatically imports contacts from Google Sheets into your MailChimp mailing list. Perfect for businesses collecting leads through Google Forms, event registrations, or maintaining contact lists in spreadsheets. Key Features 📊 Bulk Import: Process entire Google Sheets at once 🔄 Smart Name Parsing: Automatically splits full names into first and last names 📱 Phone Number Support: Includes phone numbers as merge fields ⚡ Error Resilience: Continues processing even if individual contacts fail 📝 Import Summary: Generates a summary of processed contacts Prerequisites Before using this workflow, ensure you have: An active n8n instance (self-hosted or cloud) A Google account with access to Google Sheets A MailChimp account with at least one audience/list created Basic understanding of n8n workflows Initial Setup Step 1: Import the Workflow Copy the workflow JSON In n8n, click "Import from File" or paste the JSON Save the workflow with a meaningful name Step 2: Configure Google Sheets Connection Click on the "Get Google Sheet Data" node Click on "Credential to connect with" Select "Create New" and choose "Google Sheets OAuth2" Follow the OAuth flow to authenticate your Google account Save the credentials Step 3: Configure MailChimp Connection Click on the "Add to MailChimp" node Click on "Credential to connect with" Select "Create New" and choose "MailChimp OAuth2" or "MailChimp API" For API method: Log into MailChimp Go to Account → Extras → API keys Generate a new API key Copy and paste it into n8n Save the credentials Step 4: Configure Your Specific Settings Google Sheets Settings: Open the "Get Google Sheet Data" node Replace YOUR_GOOGLE_SHEET_ID with your actual sheet ID Find this in your Google Sheets URL: https://docs.google.com/spreadsheets/d/[SHEET_ID]/edit Replace YOUR_SHEET_NAME with your worksheet name (e.g., "Sheet1" or "Form Responses 1") MailChimp Settings: Open the "Add to MailChimp" node Replace YOUR_MAILCHIMP_LIST_ID with your audience ID Find this in MailChimp: Audience → Settings → Audience name and defaults Verify the status is set to "subscribed" Google Sheets Format Requirements Your Google Sheet must have the following columns (exact names): Names**: Full name of the contact (e.g., "John Doe") Email address**: Valid email address Phone Number**: Contact phone number (optional) Example: | Names | Email address | Phone Number | |-------|--------------|--------------| | John Doe | john@example.com | +1234567890 | | Jane Smith | jane@example.com | +0987654321 | How to Use Manual Execution: Open the workflow in n8n Click "Execute Workflow" Monitor the execution progress Check the output of "Create Import Summary" for results Scheduling (Optional): To run this automatically: Replace the "Manual Trigger" node with a "Schedule Trigger" node Set your desired schedule (e.g., daily at 9 AM) Activate the workflow Customization Options Adding More Fields: To include additional fields like company name or address: Add columns to your Google Sheet Modify the "Edit Fields" node to include new fields Update the "Format Subscriber Data" code to map new fields Add corresponding merge fields in the MailChimp node Handling Duplicates: The workflow uses "continueRegularOutput" error handling, which means: Existing subscribers will be skipped New subscribers will be added The workflow continues processing Adding Email Notifications: To receive import summaries via email: Add a Gmail or Email node after "Create Import Summary" Configure with your email settings Use the import summary data in the email body Troubleshooting Common Issues: "Invalid API Key" (MailChimp) Verify your API key is correct Check that your MailChimp account is active "Sheet not found" (Google Sheets) Verify the sheet ID is correct Ensure the service account has access to the sheet "Email already exists" errors This is normal for existing subscribers The workflow will continue processing other contacts Missing data in MailChimp Check that column names match exactly (case-sensitive) Verify data exists in the Google Sheet Best Practices Test First: Always test with a small dataset first Backup Data: Export your MailChimp list before large imports Clean Data: Ensure email addresses are valid before importing Monitor Regularly: Check import summaries for any issues Respect Privacy: Only import contacts who have consented to receive emails Support For issues specific to: n8n platform: Visit n8n Community Forum Google Sheets API: Check Google Developers Documentation MailChimp API: See MailChimp API Documentation Need help customizing? Contact me for consulting and support or add me on LinkedIn - https://www.linkedin.com/in/femi-adedayo-h44/ License This workflow template is provided free for personal and commercial use. Feel free to modify and share!
by bangank36
This workflow restores all n8n instance workflows from GitHub backups using the n8n API node. It complements the Backup Your Workflows to GitHub template by allowing users to seamlessly restore previously saved workflows. How It Works The workflow fetches workflows stored in a GitHub repository and imports them into your n8n instance. Setup Instructions To configure the workflow, update the Globals node with the following values: repo.owner** – Your GitHub username repo.name** – The name of your GitHub repository storing the workflows repo.path** – The folder path within the repository where workflows are stored For example, if your GitHub username is john-doe, your repository is named n8n-backups, and workflows are stored in a workflows/ folder, you would set: repo.owner → john-doe repo.name → n8n-backups repo.path → workflows/ Required Credentials GitHub API** – Access to your repository n8n API** – To import workflows into your n8n instance Who Is This For? This template is ideal for users who want to restore their workflows from GitHub backups, ensuring easy migration and recovery in case of data loss. Check out my other templates: 👉 My n8n Templates
by John Alejandro SIlva
🤖🥗 Telegram Nutrition AI Assistant (Alternative to Cal AI App) > AI-powered nutrition assistant for Telegram — log meals, set goals, and get personalized daily reports with Google Sheets integration. 📋 Description This n8n template creates a Telegram-based Nutrition AI Assistant 🥑🔥 designed as an open-source alternative to the Cal AI mobile app. It allows users to interact with an AI agent via text, voice, or images to track meals, calculate macros, and monitor nutrition goals directly from Telegram. The system integrates Google Sheets as the database, handling both user profiles and meal logs, while leveraging Gemini AI for natural conversation, food recognition, and daily progress reports. ✨ Key Features 💬 Multi-input support: Text, voice messages (transcribed), and food images (AI analysis). 📊 Macro calculation: Automatic estimation of calories, proteins, carbs, and fats. 📝 User-friendly registration: Simple onboarding without storing personal health data (no weight/height required). 🎯 Goal tracking: Users can set and update calorie and protein targets. 📈 Daily reports: Personalized progress messages with visual progress bars. 🗂 Google Sheets integration: Profile table for user targets. Meals table for food logs. 🔄 Advanced n8n nodes: Includes use of Merge, Subworkflow, and Code nodes for data processing and report generation. 💡 Acknowledgment Inspired by the Cal AI concept 💡 — this template demonstrates how to reproduce its main functionality with n8n, Telegram, and AI agents as a flexible, open-source automation workflow. 🏷 Tags telegram ai-assistant nutrition meal-tracking google-sheets food-logging voice-transcription image-analysis daily-reports n8n-template merge-node subworkflow-node code-node telegram-trigger google-gemini 💼 Use Case Use this template if you want to: 🥗 Log meals using text, images, or voice messages. 📊 Track nutrition goals (calories, proteins) with daily progress updates. 🤖 Provide a chat-based nutrition assistant without building a full app. 🗂 Store structured nutrition data in Google Sheets for easy access and analysis. 💬 Example User Interactions 📸 User sends a photo of a meal → AI analyzes the food and logs calories/macros. 🎤 User sends a voice message → AI transcribes and logs the meal. ⌨️ User types “report” → AI returns a daily nutrition summary with progress bars. 🥅 User says “update my protein goal” → AI updates profile in Google Sheets. 🔑 Required Credentials Telegram Bot API (Bot Token) Google Sheets API credentials AI Provider API (Google Gemini or compatible LLM) ⚙️ Setup Instructions 🗂 Create two Google Sheets tables: Profile: User_ID, Name, Calories_target, Protein_target Meals: User_ID, Date, Meal_description, Calories, Proteins, Carbs, Fats 🔌 Configure the Telegram Trigger with your bot token. 🤖 Connect your AI provider credentials (Gemini recommended). 📑 Connect Google Sheets with your credentials. ▶️ Deploy the workflow in n8n. 🎯 Start interacting with your nutrition assistant via Telegram. 📌 Extra Notes 🟩 Green section: Handles Telegram trigger and user check. 🟥 Red section: Registers new users and sets goals. 🟦 Blue section: Processes text, voice, and images. 🟨 Yellow section: Generates nutrition reports. 🟪 Purple section: Main AI agent controlling tools and logic. 💡 Need Assistance? If you’d like help customizing or extending this workflow, feel free to reach out: 📧 Email: johnsilva11031@gmail.com 🔗 LinkedIn: John Alejandro Silva Rodríguez
by Praveena
Purpose The purpose of this automation is to help context switch from office to some side projects or passion gigs so you can be free of distracting thoughts and re-set your perspective. Benefits Anyone who works full time and also does something on the side (perhaps a side gig/being a mom/just follow your passion project) What you need N8N (lol) Any LLM API Key (I used OpenAI 4.1) IPhone (automations and shortcuts) Template Setup Setup LLM API key. Import template file to new workflow. On Iphone create a new shortcut as per video. Create automation steps. Resources Youtube
by Haqi Ramadhani
Automatically detect new n8n releases (stable or beta) from GitHub, update Coolify environment variables, and trigger deployments. Functionality This workflow automates deployment of n8n releases to a Coolify instance. It supports two tracks: Beta Releases: Checks GitHub every minute for prereleases, filters duplicates, updates the N8N_VERSION environment variable, and deploys. Stable Releases (disabled by default): Checks the latest stable release hourly and deploys. Key Features: Deduplication**: Ensures no repeated deployments for the same release. Version Parsing**: Extracts the semantic version (e.g., 1.34.0) from GitHub release names. Coolify Integration**: Updates environment variables and triggers deployments via API. Expected Outcomes New n8n beta/stable releases detected via GitHub API. Coolify environment variable N8N_VERSION updated to the latest version. Automatic deployment triggered in Coolify. Setup Guide Replace Placeholders: Update m8ccg8k44coogsk84swk8kgs in the Update ENV and Deploy nodes with your Coolify Application UUID. Configure Credentials: Add Coolify API credentials (httpHeaderAuth) with a valid API token in the headers. Enable Triggers: Toggle the Auto Update Latest Release node if stable releases are desired. Adjust schedule intervals as needed. Test: Run the workflow manually to validate API connections and version parsing. SEO Keywords Automated Deployment, n8n CI/CD, Coolify Integration, GitHub Release Monitoring, Environment Variable Management, Beta Release Automation.
by Gareth B. Davies
An automated backup solution designed for self-hosted n8n users to automatically backup their workflows to Bitbucket, leveraging Bitbucket's free private repository offering. Perfect for maintaining version control of your n8n workflows without additional costs. How it works: Runs on a regular schedule to check all workflows in your n8n instance Compares each workflow with its version in Bitbucket Only uploads workflows that are new or have changed Uses basic rate limiting to stay within Bitbucket's API limits Formats filenames for easy tracking and includes timestamps in commit messages Handles errors gracefully with automatic retries Set up steps (10-15 minutes): Create a free Bitbucket account and private repository Create a Bitbucket App Password with repository write access Add Bitbucket credentials to n8n (using your username and app password) Set up n8n API access (generate API key in your n8n instance) Configure your Bitbucket workspace and repository names in the Set node Optional: Adjust the backup schedule (default: 2 AM daily) Perfect for n8n self-hosters who want: Version control for their workflows Automated daily backups Free private repository storage Easy workflow recovery Change tracking over time The workflow includes basic error handling and rate limiting to ensure reliable backups even with larger numbers of workflows. Adjust your timing based on https://support.atlassian.com/bitbucket-cloud/docs/api-request-limits/.
by Oneclick AI Squad
This n8n workflow automates personalized travel assistance via WhatsApp through a friendly virtual agent named Alex. It helps users plan trips, explore destinations, get visa/weather/hotel information, and book packages—all through a conversational interface. The system ensures quick, human-like support 24/7, improving customer experience and reducing manual handling by travel agents. Key Features The Travel Assistant agent provides contextual responses based on conversation history stored in memory. Alex maintains a friendly, professional tone throughout all interactions to enhance user experience. The workflow includes intelligent waiting mechanisms to ensure proper response processing. Memory functionality allows for seamless continuation of conversations across multiple interactions. Workflow Process The Get WhatsApp Message node captures incoming messages from users on WhatsApp, initiating the travel assistance process. The Travel Assistant node processes user queries using AI to understand travel needs and generate appropriate responses for trip planning, destination information, visa requirements, weather updates, and booking assistance. The Travel Plan Creator agent works in conjunction with the main assistant to generate detailed itineraries and travel recommendations based on user preferences. The Memory node stores conversation context and user preferences, enabling personalized responses and seamless conversation flow across multiple interactions. The Wait For Response node introduces intelligent delays to ensure proper message processing and natural conversation pacing. The Send Reply On WhatsApp node delivers the AI-generated travel assistance back to the user through WhatsApp messaging. Setup Instructions Import the workflow into n8n and configure WhatsApp Business API credentials for message handling. Set up the AI service for the Travel Assistant and Travel Plan Creator agents with your preferred language model. Configure the Memory node with appropriate storage settings for conversation persistence. Test the workflow by sending various travel-related queries through WhatsApp to ensure proper responses. Monitor conversation quality and adjust AI parameters as needed for optimal user experience. Prerequisites WhatsApp Business API access or WhatsApp integration service AI/LLM service for travel assistance (OpenAI, Anthropic, or similar) Database or storage service for conversation memory Access to travel data APIs for real-time information (weather, visa requirements, hotel availability) Modification Options Modify the Travel Assistant node to include specific travel databases, local recommendations, or branded responses. Adjust the conversation memory settings to control how much context is retained across interactions. Customize the Travel Plan Creator to include preferred booking platforms, hotel chains, or travel partners. Add additional specialized agents for specific travel services like flight booking, car rentals, or activity reservations. Configure response timing in the Wait For Response node to match your desired conversation flow.
by Daniel Nolde
What this does Show you how to us XMLRPC APIs via the generic HTTP-Request-node, by the example of posting to a wordpress blog This is also a feasible workaround if a specific n8n integration does not work or stops working (which happens e.g. with the Wordpress node) How it works First, the XML payload for the request is being prepared (in a code node, which also properly escapes special character in the values that you want to send to the XMLRPC endpoint) Then, the HTTP Request node sends the request using the HTTP post method Last, the returned XML response is converted to JSON which a conditional node uses to determine whether th operation was successful or not Setup steps: Import workflow Ensure you have a wordpress blog with a user that has an app-Password Edit the "Settings"-node and enter your individual values for url/user/app-pw
by Fan Luo
Daily Company News Bot This n8n template demonstrates how to use Free FinnHub API to retrieve the company news from a list stock tickers and post messages in Slack channel with a pre-scheduled time. How it works We firstly define the list of stock tickers you are interested Loop over items to call FinnHub API to get the latest company news for the ticker Then we format the company news as a markdown text content which could be sent to Slack Post a new message in Slack channel Wait for 5 seconds, then move to the next ticker How to use Simply setup a scheduler trigger to automatically trigger the workflow Requirements FinnHub API Key Slack channel webhook Need Help? Contact me via My Blog or ask in the Forum! Happy Hacking!
by Abdullah
This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Overview This workflow automates the process of transcribing audio files and summarizing them using OpenAI models, with the final output stored neatly in Notion. Whether you're a researcher, content creator, student, or professional, this automation saves time by converting voice recordings into actionable summaries with zero manual effort. Created by: Abdullah Dilshad Contact: iamabdullahdilshad@gmail.com Who It’s For This template is ideal for: Researchers**: Transcribe and summarize interviews, lectures, or research recordings. Content Creators**: Convert podcasts or videos into transcripts and social captions/show notes. Students**: Automatically turn lectures or study group audio into summarized notes. Professionals**: Log meeting notes and summaries directly into your Notion workspace. How It Works This four-step workflow performs the following: Step 1:* *Trigger: New Audio in Google Drive** Automatically triggers when a new audio file (MP3/WAV) is uploaded to a specified Google Drive folder.The file is then downloaded for processing. Step 2: Transcribe Audio with Whisper** The audio file is sent to OpenAI’s Whisper model for high-accuracy transcription. Step 3: Summarize Transcript with GPT-4** The transcript is passed to GPT-4, which generates a clean, concise summary. Step 4: Store Summary in Notion** A new Notion page is created with the generated summary and optional metadata (file name, upload time, etc.). Setup Instructions Step 1: Google Drive Trigger** Connect your Google Drive account. Select the folder you want to monitor. This node detects new file uploads and passes the file for download. Step 2: Download File** Downloads the new audio file for transcription. Step 3: Transcribe Recording (OpenAI Whisper) Connect your OpenAI API Key. Ensure this node receives the binary audio file. It will return the transcription as plain text. Step 3: Transcribe Recording (OpenAI Whisper)** Connect your OpenAI API Key. Ensure this node receives the binary audio file. It will return the transcription as plain text. Step 4: Summarize Transcript (GPT-4 via AI Agent)** Use your OpenAI API Key. Configure a summarization prompt like: "Summarize the following transcript in a clear and concise manner:" Connect the output from Whisper into this GPT-4 prompt. Step 5: Notion Integration** Connect your Notion account. Choose or create a database to store summaries. Map the GPT output (summary) to a "Text" or "Rich Text" property. Optionally include metadata like filename, file upload date, etc.
by Airtop
Automating LinkedIn Competitive Monitoring Use Case Automatically track and summarize LinkedIn posts from key executives at competitor companies. This agent provides structured insights into hiring trends, product announcements, strategic shifts, and thought leadership, helping teams stay informed and responsive without manual monitoring. What This Automation Does This automation monitors and summarizes LinkedIn posts from competitor profiles and shares the results on Slack. It uses the following input parameters: Airtop Profile**: A browser profile authenticated to LinkedIn. Create one Google Sheet**: A document listing LinkedIn profile URLs of competitors, copy this one. Slack Channel**: The destination for sharing summarized post insights. How It Works Trigger: The workflow is scheduled to run weekly at a specific time. Data Collection: Retrieves the list of competitor LinkedIn URLs from a Google Sheet. Browser Automation: Uses Airtop to navigate to each LinkedIn profile and analyze up to 5 recent posts. Summarization: Summarizes number of recent posts, main topics, and engagement levels using Airtop’s AI. Slack Notification: Posts a formatted summary to a predefined Slack channel. Setup Requirements Airtop API Key — free to generate. An Airtop Profile authenticated to LinkedIn. Google Sheet with competitor post URLs, copy this one. Slack Bot credentials with access to the target channel. Next Steps Expand Coverage**: Add more competitor profiles to the Google Sheet to scale monitoring. Integrate with CRM**: Feed summarized insights into your CRM for competitor tracking. Enhance Analysis**: Include post-level engagement metrics over time for trend analysis. Read more about competitve analysis using Linkedin
by Rodrigue Gbadou
What this workflow does This n8n workflow collects client feedback through a form (Tally, Typeform, or Google Forms) and uses AI to analyze it. It automatically generates a summary of the positive points, highlights areas for improvement, and drafts a short social media post based on the feedback. Ideal for: Freelancers Customer support teams Online service providers Coaches and educators Setup steps Connect your form tool to the Webhook node (POST method) and make sure it sends a feedback field. Add your DeepSeek (or other GPT-compatible) API key to the AI request node. Configure the email node with your SMTP credentials and desired recipient address. Replace the Telegram node with Slack, Buffer, or another integration if you prefer. (Optional) Customize the prompt in the function node for different tone/language. 🕐 Estimated setup time: ~15 minutes 💬 Sticky notes are included and clearly positioned to guide you. Technologies used n8n Webhook node n8n Function node DeepSeek Chat or compatible AI API Email node (SMTP) Telegram node (or other integration) Sticky Notes for setup guidance Use cases Analyze feedback from onboarding or satisfaction surveys Create ready-to-publish social media content from real customer praise Help support or marketing teams act on feedback immediately