Workflow Templates

n8n does not currently offer a way to retrieve emails from arbritrary providers via a regular node. Unless you're using Gmail or Outlook, you can only use the email trigger to start a workflow when a new email arrives. This currently limits the possible use cases you can cover in your n8n workflows, as you cannot (for example) get an idea of how many unread messages there are in an inbox, or search for specific messages when an event occurs. But fear not, there's a new sheriff in town! The JMAP standard allows you to interact with your mailboxes, calendars and contacts through single HTTP requests whenever needed. This n8n workflow demonstrates how to retrieve the total number of unread messages from a JMAP server and also retrieve details for the first 3 messages. It can easily be adapted to search for messages other than unread, or to return details for more than the first 3 messages. Screenshots FAQ Which n8n version do I need? The workflow was built using n8n 1.20 and should work here out of the box. HTTP requests are also supported on older n8n versions, so the workflow can be backported as an alternative. Which credentials do I need? The JMAP standard does not limit the available authentication options. Fastmail (the sponsor of the standard) supports Bearer authentication as well as OAuth2. In n8n you can implement the Fastmail Bearer authentication by creating Header Auth credentials with a name of Authorization and a value of Bearer $apiToken (replacing $apiToken with your actual API token from Fastmail). For other services you'd need to check the respective API documentation for more details on the support authentication methods. What even is JMAP? It's an official Internet Engineering Task Force (IETF) standard, sponsored by Fastmail, that will hopefully replace the legacy standards CalDAV, CardDAV, and IMAP soon. The full specs are available here. How can I use JMAP? If you're a Fastmail customer or if you're hosting your own Stalwart mail server you can use JMAP today. If your email provider doesn't yet support JMAP, you might want to contact them and let them know you're interested in this functionality.

Travel Agent that Auto Response on Mail In this guide, we’ll break down how to set up an AI-powered auto-reply system that works while you sleep. Ready to 10X your efficiency? Let’s dive in! What’s the Goal? AI-driven auto-responses for Email. Instant replies to FAQs, order confirmations, and support queries. 24/7 availability - no more “We’ll get back to you soon” delays. Seamless integration with existing business tools. By the end, you’ll have a self-running communication assistant that never takes a coffee break. Why Does It Matter? Why automate replies? Because time = money and manual typing is so 2010. Here’s why this workflow is a game changer: Zero Human Error: AI doesn’t get tired or make typos. Lightning-Fast Replies: Customers get instant answers, improving satisfaction. 24/7 Availability: No more “Out of Office” replies. Focus on High-Value Work: Free your team from mundane tasks. Think of it as hiring a super efficient virtual assistant - minus the salary. How It Works Here’s the step by step magic behind the automation Step 1: Trigger the Workflow Detect new messages from WhatsApp, Email, or Slack. Use n8n’s webhook or API integration to capture incoming queries. Step 2: Process the Message with AI Send the message to an AI model (like OpenAI GPT-4 or Gemini). Generate a context-aware, human-like response. Step 3: Send the Automated Reply Route the AI-generated response back to the original platform. Ensure personalization (e.g., “Hi [Name], thanks for reaching out!”). Step 4: Log & Optimize Store interactions in a database (Airtable, Google Sheets). Continuously improve AI responses based on past data. How to use the workflow? Importing a workflow in n8n is a straightforward process that allows you to use pre-built or shared workflows to save time. Below is a step-by-step guide to importing a workflow in n8n, based on the official documentation and community resources. Steps to Import a Workflow in n8n 1. Obtain the Workflow JSON Source the Workflow:** Workflows are typically shared as JSON files or code snippets. You might receive them from: The n8n community (e.g., n8n.io workflows page). A colleague or tutorial (e.g., a .json file or copied JSON code). Exported from another n8n instance (see export instructions below if needed). Format:** Ensure you have the workflow in JSON format, either as a file (e.g., workflow.json) or as text copied to your clipboard. 2. Access the n8n Workflow Editor Log in to n8n:** Open your n8n instance (via n8n Cloud or your self-hosted instance). Navigate to the Workflows tab in the n8n dashboard. Open a New Workflow:** Click Add Workflow to create a blank workflow, or open an existing workflow if you want to merge the imported workflow. 3. Import the Workflow Option 1: Import via JSON Code (Clipboard): In the n8n editor, click the three dots (⋯) in the top-right corner to open the menu. Select Import from Clipboard. Paste the JSON code of the workflow into the provided text box. Click Import to load the workflow into the editor. Option 2: Import via JSON File: In the n8n editor, click the three dots (⋯) in the top-right corner. Select Import from File. Choose the .json file from your computer. Click Open to import the workflow.

What this workflow does? This workflow primarily uses the GPT-4o API from PiAPI and automatically creates front/side/top views of 3D models from commands. Who is this for？ 3D Designers： Quickly generate standardized orthographic views for design review E-commerce Operators： Create multi-angle product display images 3D Modeling Beginners： Instantly produce basic reference views Step-by-step Instruction Fill in X-API-Key of your PiAPI account and the image prompt based on your inspiration. Click Test workflow. Get the image url in the final node. OutPut

This workflow allows users to generate beautifully stylized 3D-rendered food emoji icons based on a simple text prompt. It combines user input, structured visual design generation, and image rendering using OpenAI’s GPT models. ✨ What It Does Collects user input via a form: e.g. "green apple" Generates a structured JSON specification describing the emoji’s form, lighting, texture, and color scheme Uses AI to render an image based on that spec—styled like a high-quality emoji icon with a transparent background 🧠 Use Case This template is ideal for: Designers or creators needing icon ideas or drafts for food items Developers building emoji packs or digital stickers Inspiration for AI-assisted product illustration or branding 💡 Why It's Useful Instead of prompting a model directly with vague terms, this flow creates a structured visual spec tailored to food items. The final emoji-style icon is polished, modern, and downloadable. ✅ Requirements To get started with this workflow, follow these steps: 🔑 Configure Credentials: Set up your API credentials for OpenAI and Google Drive 💳 Add OpoenAI Credit: Make sure to add credit to your OpenAI account, verify your organization (required for generating images) 📊 Connect Google Drive: Authenticate your Google Drive account ⚙️ (Optional) Customize Prompts: Adjust the prompts within the workflow to better suit your specific needs Note: Each image generation will cost you about $0.17

Campaign tracking is pivotal; it enables marketers to evaluate the efficacy of various strategies and channels. UTM parameters are particularly essential as they provide granular details about the source, medium, and campaign effectiveness. However, when this data is not automatically integrated into a centralized system, it can become a tedious and error-prone process to manually collate and analyze it. Retrieving UTM data from Shopify and storing it in Baserow enables oy to do more with this data. For example you could build a campaign database in Baserow and automatically add campaign revenue to it using this workflow template. This template will help you: Automatically retrieve UTM parameters from Shopify orders using the Shopify Admin API Process marketing data through n8n Store this data into Baserow, providing you with a dynamic, responsive base for campaign tracking and decision-making This template will demonstrate the follwing concepts in n8n: use the Schedule trigger node use the GraphQL node to call the Shopify Admin API split larger incoming datasets into n8n items with the Split node transform the data structure with the Set node control flow with the If node store data in Baserow with the Baserow node How to get started? Create a custom app in Shopify get the credentials needed to connect n8n to Shopify This is needed for the Shopify Trigger Create Shopify Acces Token API credentials n n8n for the Shopify trigger node Create Header Auth credentials: Use X-Shopify-Access-Token as the name and the Acces-Token from the Shopify App you created as the value. The Header Auth is neccessary for the GraphQL nodes. You will need a running Baserow instance for this. You can also sign up for a free account at https://baserow.io/ Please make sure to read the notes in the template. For a detailed explanation please check the corresponding video: https://youtu.be/VBeN-3129RM

This workflow helps digital marketers and outreach specialists automate the research and creation of cold email icebreakers for local businesses. What it does: Starts with a Form Trigger, where you input a search keyword (e.g., “Dentist in New York”). Uses Dumpling AI’s Google Maps API to search for local businesses matching the keyword. Extracts individual business data, including website URLs. Sends each website to Dumpling AI to extract: A website summary for personalization An email address (if available) Sends the summary and business info to GPT-4 via OpenAI to write a short, warm, and customized icebreaker message. Filters out results with missing email addresses. Logs the business name, email, website, phone number, website summary, and generated icebreaker into Google Sheets. Optionally pushes the lead and personalization to Instantly.ai for automated cold outreach. Tools Used: Form Trigger (n8n) Dumpling AI (Search & Extraction APIs) OpenAI GPT-4 (via LangChain Node) Google Sheets Instantly.ai (optional lead delivery) 🛠️ How to Customize the Workflow Change the search region or business type:* Adjust the default keyword in the *Form Trigger** or connect a different input source (like Google Sheets). Customize the prompt:* Modify the *GPT-4 node prompt** to match your agency tone or outreach style. Add or remove data fields:* Edit the *Google Sheets node** to store additional business data or remove unnecessary ones. Connect to your CRM or outreach tool:* Replace or extend the *Instantly API node** with your own CRM (e.g., HubSpot, Close, Pipedrive) using HTTP Request or native integrations. Control batching size:* The *Split In Batches node** is set to 2 by default. You can increase this to speed up processing or reduce it to avoid rate limits. This automation is ideal for sales teams, digital marketing freelancers, and agencies who want to scale lead generation while keeping emails personal and relevant.

Description This n8n workflow verifies the deliverability of mailing addresses stored in Keap/Infusionsoft by integrating with Lob’s address verification service. Who is this for? This template is designed for Keap/Infusionsoft 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 Keap/Infusionsoft Webhook sent to n8n Verify if the address is deliverable via LOB Report back to Keap/Infusionsoft Set Up Steps Watch this setup video: https://www.youtube.com/watch?v=T7Baopubc-0 Takes 10-30 minutes to set up Accounts Needed: Keap/Infusionsoft 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 Keap/Infusionsoft 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 Keap/Infusionsoft’s workflow configuration. Additionally, you can modify the actions taken based on the deliverability outcome, such as updating custom fields or sending notifications.

Welcome to my Automated Image Metadata Tagging Workflow! This workflow automatically analyzes the image content with the help of AI and writes it directly back into the image file as keywords. This workflow has the following sequence: Google Drive trigger (scan for new files added in a specific folder) Download the added image file Analyse the content of the image and extract the file as Base64 code Merge Metadata and Base64 Code Code Node to write the Keywords into the Metadata (dc:subject) Convert to file and update the original file in the Google Drive folder The following accesses are required for the workflow: Google Drive: Documentation AI API access (e.g. via OpenAI, Anthropic, Google or Ollama) You can contact me via LinkedIn, if you have any questions: https://www.linkedin.com/in/friedemann-schuetz

This workflow allows you to add articles to a Notion reading list by accessing a Discord slash command. Prerequisites A Notion account and credentials, and a reading list similar to this template. A Discord account and credentials, and Discord Slash Command connected to n8n. Nodes Webhook node triggers the workflow whenever the Discord Slash command is issued. IF node checks the type returned by Discord. If the type is not equal to 1, it will return true, otherwise false. HTTP Request node makes an HTTP call to the link and gets the HTML of the webpage. HTML Extract node extracts the title from the HTML which we will use in the next node. Notion node adds the link to your Notion reading list. Set nodes set the reply values for Discord and register the Interaction Endpoint URL.

🚀 Automated Lead Scraper Workflow (Apify + n8n + Google Sheets) 🧠 What It Does This n8n workflow automates the process of scraping leads using Apify, cleaning the extracted data, and exporting it to Google Sheets—ready for use in outreach, prospecting, or CRM pipelines. 🔄 Workflow Steps ✅ Start – Manually triggers the workflow. 🧩 Set Variables – Stores required Apify credentials: APIFY_TOKEN: Your Apify token. APIFY_TASK_ID: The Apify task to run. 🕸️ Run Apify Scraper – Launches the scraper and fetches the dataset. 🧹 Clean Data – Processes scraped results to: ✂️ Strip non-numeric characters from phone numbers. ✉️ Format emails (lowercase + trimmed). 📊 Export to Google Sheets – Appends clean data to your spreadsheet: 🏢 company name → from title 📞 phone → cleaned number 📍 address → from scraped info 🛠️ Requirements 🕷️ Apify Account A valid APIFY_TOKEN An existing Apify task (APIFY_TASK_ID) 📗 Google Sheets Access OAuth2 credentials set up in n8n (e.g., "Google Sheets account 2") 🚦 How to Use ⚙️ Open the Variables node and plug in your Apify credentials. 📄 Confirm the Google Sheets node points to your desired spreadsheet. ▶️ Run the workflow manually from the Start node. 📥 Output A ready-to-use sheet of cleaned lead data containing: Company names Phone numbers Addresses 💼 Perfect For: Sales teams doing outbound prospecting Marketers building lead lists Agencies running data aggregation tasks

This workflow demonstrates how to export SQL to XML and present the data nicely formatted using an XSL Template. The upper part of the workflow starts with a webhook. Then it gets several random records from the SQL table and converts them into an XML string. Then a final XML file is created that contains a link to the XML Stylesheet file. The lower part of the workflow contains a helper Webhook that reads an XSL Template from the GitHub gist and serves it back via the Respond to Webhook node. This is required to comply with the CORS rules of modern browsers. These rules dictate that both XML data and a stylesheet file should come from the same domain.

Bytedance Seededit 3.0 Image Generator Description Text-guided image editing model that preserves original details while making targeted modifications like lighting changes, object removal, and style conversion Overview This n8n workflow integrates with the Replicate API to use the bytedance/seededit-3.0 model. This powerful AI model can generate high-quality image content based on your inputs. Features Easy integration with Replicate API Automated status checking and result retrieval Support for all model parameters Error handling and retry logic Clean output formatting Parameters Required Parameters prompt** (string): Text prompt for image generation image** (string): Input image to edit Optional Parameters seed** (integer, default: None): Random seed. Set for reproducible generation guidance_scale** (number, default: 5.5): Prompt adherence. Higher = more literal. How to Use Set up your Replicate API key in the workflow Configure the required parameters for your use case Run the workflow to generate image content Access the generated output from the final node API Reference Model: bytedance/seededit-3.0 API Endpoint: https://api.replicate.com/v1/predictions Requirements Replicate API key n8n instance Basic understanding of image generation parameters