Workflow Templates

Effortlessly optimize your workflow by automatically importing hundreds of manufacturers from a Google Sheet into your Shopware online store, saving countless hours of manual work. How it works Retrieve all manufactures from a Google Sheet Add each manufacture via Shopware sync API Endpoint to Shopware Upload a logo for each manufacture from a provided public URL to Shopware Set Up Steps Add your Shopware url to first node called Settings Create a Google Sheet in your Google account with the following columns (Demo Sheet) name (the name of the manufacturer which has to be unique and is required) website (url to the manufacturer website) description logo_url (public manufcaturer logo url. Have to be a png, jpg or svg file) translation_language_code_1 (optional. Language Code of your language. For example 'es-ES' for spanish. You have to make sure a language with this code exists in your Shopware shop.) translation_name_1 (optional. Manufacturer name translated to the language you defined at translation_language_code_1) translation_description_1 (optional. Manufacturer description translated to the language you defined at translation_language_code_1) translation_language_code_2 (optional. Same as translation_language_code_1 for another language) translation_name_2 (optional. Same as translation_name_1 for another language) translation_description_2 (optional. Same as translation_description_1 for another language) translation_language_code_3 (optional. Same as translation_language_code_1 for another language) translation_name_3 (optional. Same as translation_name_1 for another language) translation_description_3 (optional. Same as translation_description_1 for another language) Connect to your Google account Connect to your Shopware account Create a Shopware Integration Connect to Shopware at the nodes "Import Manufacturer" and "Upload Manufacturer Logo" using a Generic OAuth2 API Authentication with Grant Type "Client Credentials". The Access Token URL is https://your-shopware-domain.com/api/oauth/token. Run the workflow

⚠️ This Workflow Requires a Community Node and a Self-Hosted n8n Instance > This workflow uses the Vtiger CRM community node. To use it, you must be running a self-hosted version of n8n with Community Nodes enabled. 🔧 How to Install the Node Go to Settings → Community Nodes Click Install Node Enter the package name: n8n-nodes-vtiger-crm Restart your n8n instance if prompted 💬 Real-time Vtiger Support Tickets to Telegram with Auto Status Updates 📌 Overview Keep your support team instantly informed when new tickets are created in Vtiger CRM. This workflow: Fetches the most recent ticket marked as Open Sends its details to a Telegram chat Updates the status in Vtiger to In Progress to prevent re-sending 🔄 What This Workflow Does 📨 Pulls the latest open ticket from Vtiger HelpDesk 📲 Sends a rich-text message to Telegram with all key ticket details 🔁 Updates the ticket’s status to "In Progress" 🧠 Workflow Preview > 📲 Telegram Output Example > New ticket with the following details: Ticketid: TT2 Title: Internet down Status: Open Priority: High Severity: Minor Category: Small Problem Description: The internet was slow from yesterday and today is down completely 🛠️ Setup Instructions 🔗 Telegram Bot Setup Open Telegram and search for @BotFather Run /newbot and follow the instructions Save the bot token Add the bot to your chat or group Use @userinfobot to get your chat_id Paste the token and chat ID in the Telegram node inside n8n 🔗 Vtiger CRM Setup Make sure your Vtiger HelpDesk module includes: ticket_no, ticket_title, ticketstatus, ticketpriorities, ticketseverities, ticketcategories, description Connect your Vtiger API credentials inside n8n 👥 Who This Is For Customer support and IT helpdesk teams using Vtiger CRM Teams that want instant alerts in Telegram Anyone syncing CRM activity with chat-based notifications 🔐 Credentials Required ✅ Vtiger CRM API credentials ✅ Telegram Bot Token 🏷 Tags vtiger, telegram, crm automation, helpdesk alerts, no-code crm, realtime notifications, n8n telegram integration, support ticket automation, self-hosted n8n, community nodes, workflow automation, vtiger crm integration, helpdesk sync, n8n crm alerts `

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. 🧠 Vtiger CRM – Auto-Answer FAQs with DeepSeek AI Description: This workflow automates the process of answering FAQ drafts in Vtiger CRM using DeepSeek LLM via LangChain. It's perfect for teams who want to accelerate knowledge base creation, improve support response consistency, or reduce the manual effort of writing FAQ content. Every 1 minute, this workflow: 📥 Retrieves the most recent FAQ record marked as Draft in Vtiger CRM 🧠 Sends the question to a LangChain agent powered by DeepSeek AI 📝 Receives a plain-text answer 📤 Updates the original FAQ with the generated answer and changes its status to Published ⚙️ How It Works Trigger:** Scheduled to run every 1 minute Query:** Pulls the latest FAQ from Vtiger where faqstatus = 'Draft' AI Agent:** Uses LangChain + DeepSeek to generate a natural-language answer Memory Buffer:** Keeps context using LangChain memory Update:** Pushes the answer back to Vtiger and marks it as Published 🛠️ Setup Instructions Connect Credentials for: Vtiger CRM API DeepSeek API Ensure your Vtiger CRM has a Faq module with fields: question faq_answer faqstatus Install the required Community Node: Go to Settings → Community Nodes Click Install Node and enter: n8n-nodes-vtiger-crm Restart your instance when prompted. Optionally customize the schedule or field names as needed. 👤 Who Is This For? Customer support teams building a knowledge base Businesses using Vtiger as a CRM or internal helpdesk Teams looking to automate repetitive content creation using LLMs 🔐 Credentials Required ✅ Vtiger CRM API credentials ✅ DeepSeek AI API key ✅ Highlights Fully automated LLM-powered FAQ generation Uses custom community node for Vtiger support Lightweight and runs on a short interval (1 min) Includes sticky note for clarity and onboarding Clean conditional logic and memory context built-in 🏷 Tags vtiger, crm, faq automation, ai automation, deepseek, langchain, llm, open source crm, faq generation, customer support, n8n, n8n community nodes, workflow automation, ai generated answers, vtiger integration, deepseek ai, langchain integration

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Using the serial number for assets, this workflow will create a ticket with the subject "Found duplicate Serial Numbers" with a list of all of the duplicate assets for a technician to review and merge. Duplicate assets causes incorrect billing (if customers are billed based on asset counts), and additional overhead when reviewing the history of assets when that history is spread across multiple instances. Note: Due to limitations of the Syncro API, automatically merging duplicate assets is not possible. How it works: Get a list of all assets in Syncro and summarize the list based on the Customer ID, Asset Type, and Asset Serial Create a new ticket listing all of the duplicate assets Set up steps: Install the Syncro RMM community node Connect a Syncro RMM account* Open the "Create a ticket" node and update the customer ID *See Syncro RMM Community Node documentation for details about how to get a Syncro API key and what permissions the Syncro API key needs

🎥 Summarize YouTube Videos using SearchApi & LLM Who is this for? This workflow is ideal for content creators, students, digital marketers, educators, and researchers who want to quickly summarize YouTube videos. What problem does this workflow solve? Manually extracting important information from lengthy YouTube videos can be tedious and prone to errors. This workflow streamlines the process by automatically fetching video transcripts using SearchApi.io and producing concise, informative summaries through a summarization chain powered by any LLM provider. This allows users to quickly access crucial information without the need for manual transcription or detailed viewing. What this workflow does Fetches the complete transcript of a YouTube video using SearchApi. Combines the retrieved transcript into a single, continuous text. Utilizes a Summarization Chain with an LLM (e.g., OpenRouter models) to create a concise summary of the video content. Setup Install the SearchApi community node: Open Settings → Community Nodes inside your self‑hosted n8n instance. Fill npm Package Name with @searchapi/n8n-nodes-searchapi. Accept the risk prompt, and hit Install. It should now appear as a node when you search for it. API Configuration: Set up your SearchApi.io credentials in n8n. Add your preferred LLM provider credentials (e.g., OpenRouter API). Input Requirements: Provide the YouTube video ID (e.g., wBuULAoJxok). Connect LLM Integration: Configure the summarization chain with your chosen model and parameters for text splitting. How to customize this workflow to meet your needs Adjust the summarization model or modify text-splitter parameters to accommodate different lengths and complexities of video transcripts. Integrate additional nodes to export summaries directly into your preferred tools, such as Google Drive, Slack, or email. Customize prompt templates in the summarization chain to obtain various summary styles (bullet points, paragraphs, etc.). Modify the trigger to suit your workflow. Example Usage Input: YouTube video ID (wBuULAoJxok). Output: A concise, actionable summary that highlights key ideas, recommendations, and insights from the video.

This n8n template demonstrates how to use AI as a comprehensive personal assistant with multiple specialized agents. Use cases include email management, scheduling, web search, calculations, and more - all automated through AI coordination. Good to know This template integrates multiple AI services through OpenRouter Each agent specializes in different tasks (Gmail, Calendar, Search, etc.) Memory persistence maintains context across interactions How it works The workflow is triggered by Telegram messages (can be replaced with other triggers) A router node directs requests to the appropriate specialized agent Agents include: Gmail for email management Calculator for math operations Google Search for information retrieval Calendar for scheduling Contacts for CRM functions The OpenRouter Chat Model coordinates responses Final responses are sent back through Telegram How to use Connect your Telegram bot credentials Configure each service with appropriate API keys The system will automatically route requests to the right agent Requirements OpenRouter account for AI services Telegram bot token Google API credentials for relevant services Customising this workflow Add more specialized agents as needed Replace Telegram with other communication channels Adjust routing logic for different use cases

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

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.

Markdown to Notion Blocks Converter Transform markdown-formatted text into properly structured Notion page content with this comprehensive workflow. Overview This workflow automatically converts markdown text into Notion's block format and inserts it directly into a Notion page. Perfect for content creators, documentation teams, and anyone who needs to migrate markdown content to Notion. Features Complete Markdown Support**: Handles headers (H1-H4), paragraphs, lists, quotes, code blocks, and horizontal rules Rich Text Formatting**: Preserves bold, italic, and link formatting Smart Text Processing**: Generates plain text excerpts and maintains original content structure Direct Notion Integration**: Automatically inserts converted blocks into your specified Notion page Batch Processing**: Efficiently handles large content blocks What It Does Takes markdown-formatted text as input Parses and converts it to Notion's block structure Handles complex formatting including: Headers and subheaders Bulleted and numbered lists Code blocks with syntax highlighting Blockquotes Bold and italic text Links Horizontal dividers Uploads the converted content directly to your Notion page Use Cases Content Migration**: Move existing markdown documentation to Notion Automated Publishing**: Convert blog posts or articles from markdown to Notion Documentation Workflows**: Streamline technical documentation processes Content Syndication**: Publish the same content across multiple platforms Requirements Notion API credentials Target Notion page ID Markdown-formatted source content Setup Configure your Notion API credentials Replace the page ID in the HTTP request node with your target Notion page Connect your markdown data source (replace the mock data node) Execute the workflow

This n8n template allows you to monitor hourly weather conditions in a specific city using OpenWeatherMap and log the results to a Google Sheet. It’s perfect for anyone needing periodic weather tracking—whether you're managing logistics, travel planning, or environmental monitoring. 🔧 How it works A Schedule Trigger activates the workflow every hour. The Get Weather Data from OpenWeatherMap node fetches real-time weather details using the city name you specify. An IF node checks if the weather description contains "rain" or the temperature is below a set threshold. If the condition is true, the data is formatted with city, temperature, humidity, and conditions. The Google Sheets node appends this formatted information to your designated sheet. 👤 Who is it for? This workflow is ideal for: Operations teams monitoring weather-sensitive logistics Researchers collecting climate data Developers and hobbyists learning how to connect APIs with Google Sheets 🗂️ Google Sheet Structure Your Google Sheet should have the following columns: city (string) temperature (K) (number) humidity (number) conditions (string) status (string) ⚙️ Setup Instructions Create a Google Sheet with the above columns. Set up your Google Service Account credentials in n8n. Replace the API key in the HTTP Request node with your own OpenWeatherMap credential. Specify your target city and ensure your OpenWeatherMap account is active. Adjust the frequency in the Schedule Trigger as needed (default: every hour).

Automating Company Data Enrichment and ICP Calculation Use Case This automation identifies a company's LinkedIn profile, extracts key business data, and calculates an ICP (Ideal Customer Profile) score to qualify and enrich company records. It is perfect for sales teams, data enrichment pipelines, and CRM integrations. What This Automation Does Input Parameters Company domain**: The company's website domain (e.g., example.com). Airtop Profile (connected to LinkedIn)**: Your Airtop Profile authenticated for LinkedIn. Company LinkedIn* *(optional): If already known, skips search. Output Includes Verified LinkedIn company URL (if not provided) Company profile (name, tagline, website, location, about) Scale metrics (employee count and bracket) Classification (automation agency status, AI focus, technical level) ICP score with justifications Structured JSON object with all values merged How It Works LinkedIn Detection: If not provided, attempts to locate the LinkedIn URL using website scraping or search. Data Extraction: Uses Airtop to gather structured data from the company’s LinkedIn profile. ICP Scoring: Applies a scoring rubric based on AI/tech orientation, scale, agency status, and geography. Merge Results: All data components are merged into a unified output. Setup Requirements Airtop API Key Airtop Profile with LinkedIn authentication Next Steps Combine with Person Enrichment**: Pair with workflows that enrich individuals tied to the company. Sync to CRM**: Connect the output to your CRM for record enrichment or scoring fields. Adjust ICP Scoring Logic**: Modify the rubric for your organization's ICP model. Read more about company data enrichment and ICP scoring

Who is this template for This template is for marketers, SEO specialists, or content managers who need to analyze keywords to identify which ones contain references to a specific area or topic, in this case – IT software, services, tools, or apps. Use case Automating the process of scanning a large list of keywords to determine if they reference known IT products or services (like ServiceNow, Salesforce, etc.), and updating a Google Sheet with this classification. This helps in categorizing keywords for targeted SEO campaigns, content creation, or market analysis. How this workflow works Fetches keyword data from a Google Sheet Processes keywords in batches to prevent rate limiting Uses an AI agent (OpenAI) to analyze each keyword and determine if it contains a reference to an IT service/software Updates the original Google Sheet with the results in a "Service?" column Continues processing until all keywords are analyzed Set up steps Connect your Google Sheets account credentials Set the Google Sheet document ID (currently using "Copy of Sheet1 1") Configure the OpenAI API credentials for the AI agent Adjust the batch size (currently 6) if needed based on your API rate limits Ensure the Google Sheet has the required columns: "Number", "Keyword", and "Service?" The AI agent's prompt is highly customizable to match different identification needs. For example, instead of looking for IT software/services, you could modify the prompt to identify: Industry-specific terms (healthcare, finance, education) Geographic references (cities, countries, regions) Product categories (electronics, clothing, food) Competitor brand mentions Here's how you could modify the prompt for different use cases: Copy // For identifying educational content keywords "Check the keyword I provided and define if this keyword relates to educational content, courses, or learning materials and return yes or no." // For identifying local service keywords "Check the keyword I provided and determine if it contains location-specific terms (city names, neighborhoods, regions) that suggest local service intent and return yes or no." // For identifying competitor mentions "Check the keyword I provided and determine if it mentions any of our competitors (CompetitorA, CompetitorB, CompetitorC) and return yes or no." `