Workflow Templates

This workflow creates a GitHub issue when a new ticket is created in Zendesk. Subsequent comments on the ticket in Zendesk are added as comments to the issue in GitHub. Prerequisites Zendesk account and Zendesk credentials. GitHub account and GitHub credentials. GitHub repository to create issues in. How it works The workflow listens for new tickets in Zendesk. When a new ticket is created, the workflow creates a new issue in GitHub. The GitHub issue number is then saved in one of the ticket's fields (in setup we call this "GitHub Issue Number"). The next time a comment is added to the ticket, the workflow retrieves the GitHub issue number from the ticket's field and adds the comment to the issue in GitHub. Setup This workflow requires that you set up a webhook in Zendesk. To do so, follow the steps below: In the workflow, open the On new Zendesk ticket node and copy the webhook URL. In Zendesk, navigate to Admin Center > Apps and integrations > Webhooks > Actions > Create Webhook. Add all the required details which can be retrieved from the On new Zendesk ticket node. The webhook URL gets added to the “Endpoint URL” field, and the “Request method” should match what is shown in n8n. Save the webhook. In Zendesk, navigate to Admin Center > Objects and rules > Business rules > Triggers > Add trigger. Give trigger a name such as “New tickets”. Under “Conditions” in “Meet ALL of the following conditions”, add “Status is New”. Under “Actions”, select “Notify active webhook” and select the webhook you created previously. In the JSON body, add the following: { "id": "{{ticket.id}}", "comment": "{{ticket.latest_comment_html}}" } Save the Zendesk trigger. You will also need to set up a field in Zendesk to store the GitHub issue number. To do so, follow the steps below: In Zendesk, navigate to Admin Center > Objects and rules > Tickets > Fields > Add field. Use the number field option and give the field a name such as “GitHub Issue Number”. Save the field. In n8n, open the Update ticket node and select the field you created in Zendesk.

This n8n template enables you to instantly retrieve detailed geolocation information for any given IP address by simply sending a webhook request. Leverage the power of IP-API.com to gain insights into user locations, personalize experiences, or enhance security protocols within your automated workflows. 🔧 How it works Receive IP Webhook: This node acts as the entry point, listening for incoming POST requests. It expects a JSON body containing an ip property with the IP address you wish to look up. Get IP Geolocation: This node makes an HTTP GET request to the IP-API.com service, passing the IP address from your webhook. The API responds with a comprehensive JSON object detailing the IP's location (country, city, region), ISP, organization, and more. Respond with Geolocation Data: This node sends the full geolocation data received from IP-API.com back to the service that initiated the webhook. 👤 Who is it for? This workflow is ideal for: Marketing & Sales Teams: Personalize website content, offers, or ads based on a visitor's geographic location. Tailor email campaigns by region. Customer Support: Quickly identify a customer's location to provide more localized or relevant assistance. Security & Fraud Detection: Analyze incoming connection IPs to identify suspicious activity, block known malicious regions, or flag potential fraud. Analytics & Reporting: Augment your analytics data with geographical insights about your users or traffic. Developers & Integrators: Easily add IP lookup functionality to custom applications, internal tools, or monitoring systems. Content Delivery Networks (CDNs): Route users to the closest servers for faster content delivery (though advanced CDNs usually handle this automatically). 📑 Data Structure When you trigger the webhook, send a POST request with a JSON body structured as follows: { "ip": "8.8.8.8" // Replace with the IP address you want to look up } The workflow will return a JSON response similar to this (data will vary based on IP): { "status": "success", "country": "United States", "countryCode": "US", "region": "VA", "regionName": "Virginia", "city": "Ashburn", "zip": "20149", "lat": 39.0437, "lon": -77.4875, "timezone": "America/New_York", "isp": "Google LLC", "org": "Google Public DNS", "as": "AS15169 Google LLC", "query": "8.8.8.8" } ⚙️ Setup Instructions Import Workflow: In your n8n editor, click "Import from JSON" and paste the provided workflow JSON. Configure Webhook Path: Double-click the Receive IP Webhook node. In the 'Path' field, set a unique and descriptive path (e.g., /ip-lookup). Activate Workflow: Save and activate the workflow. 📝 Tips This workflow, while simple, is a powerful building block. Here's how you can make it even more useful: Conditional Logic: Add IF nodes after "Get IP Geolocation" to create conditional branches. For example: If countryCode is 'CN' or 'RU', send an alert to your security team. If city is 'New York', route the request to a specific sales representative. Data Enrichment: Integrate this workflow into larger automation. For instance: When a new sign-up occurs, pass their IP address to this workflow, then save the returned geolocation data (country, city, ISP) alongside their user profile in your CRM or database. For e-commerce, use the location data to pre-fill shipping fields or suggest local currency/language. Logging & Analytics: Store the lookup results in a spreadsheet (Google Sheets), database (PostgreSQL, Airtable), or logging service. This can help you track where your users are coming from over time. Rate Limiting: IP-API.com has rate limits for its free tier. If you anticipate high usage, consider adding a Delay node or implementing a caching mechanism with a Cache node to avoid hitting limits. For heavy use, you might need to upgrade to a paid plan. Dynamic Response: Instead of returning the full JSON, you could use a Function node to extract only specific pieces of information (e.g., just the country and city) and return a more concise response. Input Validation: For robust production use, add a Function node after the webhook to validate that the incoming ip value is indeed a valid IP address. If it's not, you can return an error message to the caller.

AI Social Media Content Generator & Scheduler Transform your social media strategy with AI-powered content generation that creates platform-specific posts in seconds! 🚀 What It Does This workflow uses AI to generate optimized content for multiple social media platforms from a single topic input. Perfect for marketers, content creators, and businesses looking to maintain consistent social media presence. ✨ Key Features Multi-Platform Support**: LinkedIn, Twitter/X, Instagram, Facebook, TikTok AI-Powered Generation**: Uses GPT-4 for creative, engaging content Platform Optimization**: Respects character limits and best practices Hashtag Generation**: Platform-specific hashtag strategies Posting Time Suggestions**: Optimal times for each platform Tone Customization**: Professional, casual, friendly, or custom Multi-Language Support**: Generate content in any language Engagement Predictions**: Estimate reach and engagement Daily Automation**: Schedule automatic content generation Bulk Processing**: Generate content for multiple topics at once 📊 Use Cases Marketing Teams: Streamline content creation across channels Small Businesses: Maintain consistent social presence Content Agencies: Scale content production efficiently Personal Brands: Build thought leadership E-commerce: Product launches and promotions 🛠️ Setup Instructions Add OpenAI Credentials Get API key from OpenAI Add to n8n credentials Configure Webhook (Optional) Set custom path if needed Enable for external integrations Customize Settings Adjust tone and style Set platform preferences Configure posting schedule Test Generation Use example prompts Verify output quality 💡 Example Inputs "New product launch - eco-friendly water bottle" "Company milestone - 10 years in business" "Industry insights - Future of AI in healthcare" "Team spotlight - Meet our new developer" "Seasonal campaign - Summer sale 50% off" 📈 Benefits 10x Faster**: Create content in seconds vs hours Consistency**: Maintain brand voice across platforms Engagement**: Platform-optimized for maximum reach Scalability**: Generate unlimited content Cost-Effective**: Reduce content creation costs by 80% 🔧 Customization Options Custom brand voice training Industry-specific content rules Competitor analysis integration A/B testing capabilities Analytics webhook integration Auto-posting to platforms Image generation add-on Translation services 🎯 Pro Tips Train the AI with your best-performing posts Use platform analytics to refine strategies Test different tones for audience engagement Schedule content during peak hours Monitor and iterate based on performance Start creating engaging social media content today! Categories: Marketing & Growth Content Creation Social Media AI & Automation Productivity Difficulty: Beginner Required Services: OpenAI API (or compatible LLM) n8n instance Optional: Social media APIs for auto-posting

Community Node Disclaimer: This workflow uses KlickTipp community nodes. How It Works This workflow automates personalized WhatsApp message template delivery triggered by events in KlickTipp or by messages sent to the Whatsapp Business account. When a contact triggers an Outbound, the workflow uses a pre-approved WhatsApp message template to send dynamic, real-time messages through the WhatsApp Business Cloud API. When receiving messages it checks whether a cancellation should be processed or if a auto-response is sent. This setup is ideal for time-sensitive campaigns such as: Birthday greetings Discount or promo notifications Follow-ups on product or service interest Key Features KlickTipp Trigger Starts the workflow when a specific outbound is triggered Typical use case: subcriber receives activation Tag and triggers an Outbound which sends a webhook call to trigger WhatsApp messaging. WhatsApp Business Cloud - Message Trigger Listens to messages from the contact and processes answers with answering auto-responder or by tagging the contact in KlickTipp. WhatsApp Business Cloud - Sending Template Messages Sends WhatsApp message templates using a pre-approved template. Template placeholders are filled with data from KlickTipp custom fields. Setup Instructions Set up the KlickTipp and Whatsapp nodes in your n8n instance. Authenticate your WhatsApp and KlickTipp accounts. Create the necessary custom fields to match the data structure Verify and customize field assignments in the workflow to align with your specific form and subscriber list setup. | Field Label | Field Type | |--------------------------------|-------------| | Whatsapp_Produkt/Dienstleistung | Single line | | | Whatsapp_Name/Unternehmen | Single line | | Whatsapp_Link_Endung | Single line | Testing & Deployment Use a real test contact with all required fields filled. Trigger the Outbound in KlickTipp using the activation tag and answer with a message to the template. Run the scenario once in n8n to verify successful delivery of the whatsapp message template to your test contact as well as the reception of the auto-responder and the subscription and tagging in KlickTipp to stop further messages. Campaign Expansion Ideas Connect campaign to process keywords like "STOP" from WhatsApp messages Pair WhatsApp with welcome email series for onboarding. Use tags like product_interest_X for precise segmentation. A/B test templates with different CTA formats or timings. Monitor CTRs via dynamic URLs in WhatsApp templates. Benefits Multi-channel engagement:** Adds WhatsApp to your marketing toolkit. Dynamic content:** Personalizes messages using contact data. KlickTipp campaign control** Whatsapp contacts can for example signal with messages like "STOP" to receive the according Tag in KlickTipp in order to start/end automations. > 💡 Pro Tip: Customize the domain link ending per campaign or product line. This allows targeted redirects, e.g., meinshop.de/ProduktA or `mein Ressources: Send WhatsApp Templates with KlickTipp Use KlickTipp Community Node in n8n Automate Workflows: KlickTipp Integration in n8n

This workflow is designed for e-commerce store owners, operations managers, and developers who use Shopify as their e-commerce platform and want an automated way to track and analyze their order data. It is particularly useful for businesses that: Need a centralized view of all Shopify orders Want to analyze order trends without logging into Shopify Need to share order data with team members who don't have Shopify access Want to build custom reports based on order information What Problem Is This Workflow Solving? While Shopify provides excellent order management within its platform, many businesses need their order data available in other systems for various purposes: Data accessibility**: Not everyone in your organization may have access to Shopify's admin interface Custom reporting**: Google Sheets allows for flexible analysis and report creation Data integration**: Having orders in Google Sheets makes it easier to combine with other business data Backup**: Creates an additional backup of your critical order information What This Workflow Does This n8n workflow creates an automated bridge between your Shopify store and Google Sheets: Listens for new order notifications from your Shopify store via webhooks Processes the incoming order data and transforms it into a structured format Stores each new order in a dedicated Google Sheets spreadsheet Sends real-time notifications to Telegram when new orders are received or errors occur Setup Create a Google Sheet Create a new Google Sheet to store your orders Add a sheet named "orders" with the following columns: orderId orderNumber created_at processed processed_at json customer shippingAddress lineItems totalPrice currency Set Up Telegram Bot Create a Telegram bot using BotFather (send /newbot to @BotFather) Save your bot token for use in n8n credentials Start a chat with your bot and get your chat ID (you can use @userinfobot) Configure the Workflow Set your Google Sheet ID in the "Edit Variables" node Enter your Telegram chat ID in the "Edit Variables" node Set up your Telegram API credentials in n8n Configure Shopify Webhook In your Shopify admin, go to: Settings > Notifications > Webhooks Create a new webhook for "Order creation" Set the URL to your n8n webhook URL (from the "Receive New Shopify Order" node) Set the format to JSON How to Customize This Workflow to Your Needs Additional data**: Modify the "Transform Order Data to Standard Format" function to extract more Shopify data Multiple sheets**: Duplicate the Google Sheets node to store different aspects of orders in separate sheets Telegram messages**: Customize the text in Telegram nodes to include more details or rich formatting Data processing**: Add nodes to perform calculations or transformations on order data Additional notifications**: Add more channels like Slack, Discord, or SMS Integrations**: Extend the workflow to send order data to other systems like CRMs, ERPs, or accounting software Final Notes This workflow serves as a foundation that you can build upon to create a comprehensive order management system tailored to your specific business needs.

This workflow takes off the task of backing up workflows regularly on Github and uses Google Drive as the main tool to host these. This can be a good way to keep track of your workflows so that you never lose any workflows in case your n8n goes down. How does it work Creates a new folder within a specified folder with the time its backed up Loops around all workflows, converts them to a JSON file and uploads them to the created folder Gets the previous backups and deletes them This has a clean feel and look as it simplifies the backup while not keeping a cache of workflows on your drive. Setup Create a new folder Create new service account credentials Share the folder with the service account email Upload this workflow to your canvas and map the credentials Set the schedule that you need your workflows to run and manage your backups Activate the workflow Happy Productivity! @Imperol

How it works This template launches your very first AI Agent —an AI-powered chatbot that can do more than just talk— it can take action using tools. Think of an AI Agent as a smart assistant, and the tools are the apps on its phone. By connecting it to other nodes, you give your agent the ability to interact with real-world data and services, like checking the weather, fetching news, or even sending emails on your behalf. This workflow is designed to be the perfect starting point: The Chat Interface:** A Chat Trigger node provides a simple, clean interface for you to talk to your agent. The Brains:** The AI Agent node receives your messages, intelligently decides which tool to use (if any), and formulates a helpful response. Its personality and instructions are fully customizable in the "System Message". The Language Model:* It uses *Google Gemini** to power its reasoning and conversation skills. The Tools:** It comes pre-equipped with two tools to demonstrate its capabilities: Get Weather: Fetches real-time weather forecasts. Get News: Reads any RSS feed to get the latest headlines. The Memory:** A Conversation Memory node allows the agent to remember the last few messages, enabling natural, follow-up conversations. Set up steps Setup time: ~2 minutes You only need one thing to get started: a free Google AI API key. Get Your Google AI API Key: Visit Google AI Studio at aistudio.google.com/app/apikey. Click "Create API key in new project" and copy the key that appears. Add Your Credential in n8n: On the workflow canvas, go to the Connect your model (Google Gemini) node. Click the Credential dropdown and select + Create New Credential. Paste your API key into the API Key field and click Save. Start Chatting! Go to the Example Chat node. Click the "Open Chat" button in its parameter panel. Try asking it one of the example questions, like: "What's the weather in Paris?" or "Get me the latest tech news." That's it! You now have a fully functional AI Agent. Try adding more tools (like Gmail or Google Calendar) to make it even more powerful.

Goodreads Quote Extraction with Bright Data and Gemini This workflow demonstrates how to fetch data specifically from Goodreads web pages using Bright Data and then extract specific information (quotes) from that data using a Google Gemini AI model. How it works The workflow is triggered manually. It sends a request to a Bright Data collector to scrape data from a predefined list of Goodreads URLs. The collected text data from Goodreads is then passed to a Google Gemini AI node. The AI node processes the text and extracts quotes based on a specified JSON schema output format. Set up steps Setting up this workflow should take only a few minutes. You will need a Bright Data API key to configure the 'Header Auth' credential. You will need a Google Gemini API key to configure the 'Google Gemini(PaLM) Api account' credential. Ensure the correct Bright Data collector ID is set in the 'Perform Bright Data Web Request' node URL. Make sure the full list of target Goodreads URLs is correctly added to the 'Perform Bright Data Web Request' node's body. Link your created credentials to the respective nodes ('Perform Bright Data Web Request' and 'Quotes Extractor'). Keep detailed descriptions for specific node configurations in sticky notes inside your workflow canvas.

This workflow is designed to generate prompts for AI agents and store them in Airtable. It starts by receiving a chat message, processes it to create a structured prompt, categorizes the prompt, and finally stores it in Airtable. 2. Setup Instructions Prerequisites AI model eg Gemini, openAI etc** Airtable base and table or other storage tool** Step-by-Step Guide Clone the Workflow Copy the provided workflow JSON and import it into your n8n instance. Configure Credentials Set up the Google Gemini(PaLM) API account credentials. Set up the Airtable Personal Access Token account credentials. Map Airtable Base and Table Create a copy of the Prompt Library in Airtable. Map the Airtable base and table in the Airtable node. Customize Prompt Template Edit the 'Create prompt' node to customize the prompt template as needed. Configuration Options Prompt Template:** Customize the prompt template in the 'Create prompt' node to fit your specific use case. Airtable Mapping:** Ensure the Airtable base and table are correctly mapped in the Airtable node. 4. Running and Troubleshooting Running the Workflow Trigger the Workflow: Send a chat message to trigger the workflow. Monitor Execution: Use the n8n interface to monitor the workflow execution. Check Completion: Verify that the prompt is stored in Airtable and check the chat interface for the result. Troubleshooting Tips API Issues:** Ensure that the APIs and Airtable credentials are correctly configured. Data Mapping:** Verify that the Airtable base and table are correctly mapped. Prompt Template:** Check the prompt template for any errors or inconsistencies. Use Case Examples This workflow is particularly useful in scenarios where you want to automate the generation and management of AI agent prompts. Here are some examples: Rapid Prototyping of AI Agents: Quickly generate and test different prompts for AI agents in various applications. Content Creation:** Generate prompts for AI models that create blog posts, articles, or social media content. Customer Service Automation:** Develop prompts for AI-powered chatbots to handle customer inquiries and support requests. Educational Tools:** Create prompts for AI tutors or learning assistants. Industries/Professionals: Software Development:** Developers building AI-powered applications. Marketing:** Marketers automating content creation and social media management. Customer Service:** Customer service managers implementing AI-driven chatbots. Education:** Educators creating AI-based learning tools. Practical Value: Time Savings:** Automates the prompt generation process, saving significant time and effort. Improved Prompt Quality:** Leverages Google Gemini and structured prompt engineering principles to generate more effective prompts. Centralized Prompt Management:** Stores prompts in Airtable for easy access, organization, and reuse. 4. Running and Troubleshooting Running the Workflow:** Activate the workflow in n8n. Send a chat message to the webhook URL configured in the "When chat message received" node. Monitor the workflow execution in the n8n editor. Monitoring Execution:** Check the execution log in n8n to see the data flowing through each node and identify any errors. Checking for Successful Completion:** Verify that a new record is created in your Airtable base with the generated prompt, name, and category. Confirm that the "Return results" node sends back confirmation of the prompt in the chat interface. Troubleshooting Tips:** Error:** 400: Bad Request in the Google Gemini nodes: Cause:** Invalid API key or insufficient permissions. Solution:** Double-check your Google Gemini API key and ensure that the API is enabled for your project. Error:** Airtable node fails to create a record: Cause:** Invalid Airtable credentials, incorrect Base ID or Table ID, or mismatched column names. Solution:** Verify your Airtable API key, Base ID, Table ID, and column names. Ensure that the data types in n8n match the data types in your Airtable columns. Follow me on Linkedin for more

This n8n workflow template checks for new major releases (tagged with .0) of the n8n project using its official GitHub releases feed. It runs multiple times a day and sends notifications via email and Telegram if a new release is found. > ⚠️ Note: You must *activate the workflow* to start receiving release notifications. 🚀 What It Does Monitors the n8n GitHub releases feed Detects major versions (e.g., 1.0.0, 2.0.0) Sends alert messages via Telegram and email (SES) when a release is published ⏰ Scheduling Details The Cron node checks for new releases three times per day: 10:00, 14:00, and 18:00 server time. 🛠️ Step-by-Step Setup Configure Telegram Bot Connect your Telegram bot and specify the chat ID where you want to receive notifications. Set up AWS SES Credentials Use a verified sender email and set up AWS SES credentials in your n8n instance. Activate the Workflow Enable the workflow in your instance to start receiving notifications. Customize Notification Messages (Optional) You can modify the email subject, Telegram format, or filter logic. 🧠 How It Works: Workflow Overview Cron Trigger Runs the workflow at 10:00, 14:00, and 18:00 daily. Read RSS Feed Pulls data from https://github.com/n8n-io/n8n/releases.atom. Filter by Current Day Filters the feed to match: Releases published in the last 4 hours Titles starting with n8n@ and ending with .0 Condition Check Uses a regex to check if the filter result contains any release data. Notifications If a new major release is found, sends: Telegram message to a specified chat Email via AWS SES with release info 📨 Final Output You'll receive a Telegram message and email when a new major n8n version is released. 🔐 Credentials Used Telegram API** – For sending chat notifications AWS SES** – To send email alerts ✨ Customization Tips Change Notification Channels**: Add Slack, Discord, or other preferred channels. Adjust Cron Schedule**: Modify the Cron node to fit your check frequency. Modify Filters**: Detect patch or beta versions by changing the .0 condition. Send Release Notes**: Extend the feed parsing to include release content. ❓Questions? Template created by Miquel Colomer and n8nhackers.com. Need help customizing or deploying? Contact us for consulting and support.

Automating LinkedIn Company Data Extraction Use Case This automation extracts detailed company insights from a LinkedIn company page, including identity, scale, classification, and funding data. Ideal for investors, sales teams, and market researchers. What This Automation Does This automation accepts the following inputs: Company's LinkedIn URL**: The public LinkedIn page URL of the company. Airtop Profile (connected to LinkedIn)**: Your Airtop Profile authenticated on LinkedIn. It then extracts and returns structured data with: 1. Company Identity Full name Tagline Headquarters location (city, state, country) About section Website 2. Company Scale Current employee count Employee size bracket: [0-9], [10-150], [150+] 3. Business Classification Is the company an automation agency? (true/false) AI implementation level: Low / Medium / High Technical sophistication: Basic / Intermediate / Advanced / Expert 4. Funding Profile Most recent funding round Total amount raised Key investors Last funding update date How It Works Creates an Airtop session using the provided profile. Navigates to the company LinkedIn page. Executes an Airtop query to extract data. Outputs the result in a standardized JSON schema. Setup Requirements Airtop API Key A LinkedIn-authenticated Airtop Profile Next Steps Feed into CRM**: Enrich your accounts with detailed LinkedIn data. Prioritize Leads**: Use classification and funding data to prioritize outreach. Combine with People Data**: Integrate with individual-level enrichment for full context. Read more about how to extract company data from Linkedin with Airtop and n8n

🤖 AI Agent Web Search using SearchApi & LLM Who is this for? This workflow is ideal for anyone conducting online research, including students, researchers, content creators, and professionals looking for accurate, up-to-date, and verifiable information. It also serves as an excellent foundation for building more sophisticated AI-driven applications. What problem does this workflow solve? / Use case This workflow automates web searches by enabling an AI agent to efficiently retrieve and summarize external, verifiable information, ensuring accuracy through source citations. What this workflow does Connects an AI agent node to SearchApi.io as an integrated search tool. Empowers the AI agent to perform real-time web searches using various SearchApi engines (e.g., Google, Bing). Allows the AI agent to dynamically determine search parameters based on user interaction, delivering contextually relevant results. Ensures responses include clearly cited sources for validation and further exploration. 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 your needs Integrate additional nodes to structure or store search results (e.g., saving to databases, Notion, Google Sheets). Extend chatbot capabilities to integrate with messaging platforms (Slack, Discord) or email notifications. Adjust search parameters and filters within the AI agent node to tailor information retrieval. Example Usage Input**: User asks, "What are the latest developments in AI regulation?" Output**: AI retrieves, summarizes, and cites recent, authoritative articles and news sources from the web.