Workflow Templates

Create Products in Shopify from a Google Sheet This workflow creates products in your Shopify store from a google sheet. It also enables inventory tracking and sets the quantity of an inventory item at your store's default location. This is a great way to get test data into test or staging stores to try out apps, update templates or try out new designs. This Automation will only import new products. It will skip existing products if the slug matches an existing product's handle (Shopify's term for a slug). Setup Notes The Google Sheet has the following columns : title - free text description - free text company - free text category - free text status - ACTIVE, DRAFT or ARCHIVE slug - used in the product url, text with no spaces, can also use hyphen. price - sale price of the products compare_at_price - compare at price for products sku - unique code for each product stock_on_hand - quantity of this item available for purchase. Use those labels in the first row of your sheet and N8N will create one object per row with the column names as object fields. Update GraphQL nodes with your Shopify store URL 1) Replace the URL in all GraphQL nodes with the URL for your Shopify store. 2) These GraphQL requests all use the Shopify 2025-04 GraphQL Admin API.

This workflow helps SEO teams catch top movers in Google Search Console by comparing daily performance across keyword segments like brand, nonbrand, and content categories. Instead of serving as a routine check, it highlights the queries and pages with the biggest jumps or drops, making it ideal for spotting wins, losses, or unexpected shifts early. How It Works Runs daily on a scheduled trigger (e.g. every morning). Pulls GSC data for the prior two days (e.g. yesterday vs. day before). Segments traffic by keyword type or URL pattern (e.g. brand, nonbrand, recipes, blogs, etc.). Calculates changes in clicks, impressions, CTR, and average position. Flags top movers with the biggest positive or negative deltas. Sends structured reports via Slack or email, grouped by segment and sorted by impact. Setup Steps Connect your Google Search Console account and optionally Gmail or Slack. Swap in your own domain(s) and customize segmentation logic (e.g. brand terms, path filters). By default, the workflow includes Slack alerts, but these can be easily switched to or combined with email, webhook, or other channels. Full setup takes around 15–20 minutes with working GSC credentials. Note: The “recipes” segment is included as an example of how to segment content. This can be changed to match blog, FAQ, product pages, or any other category.

How it works: This workflow automates the entire LinkedIn content distribution process — from AI-powered post creation to auto-posting on both personal LinkedIn profiles and LinkedIn groups, using GPT-4o and Google Sheets as the content source and control panel. Auto-generates professional LinkedIn posts from spreadsheet topics using GPT-4o. Posts to your LinkedIn profile and multiple groups. Updates status to avoid duplicate posting. Fully customizable and reusable with your spreadsheet. Set up Steps Create and Upload the Spreadsheet Name it: Linkedin Post Sheet1 (for post topics): Columns: ID | Linkedin Post Title | Status Add post titles under Linkedin Post Title Set Status to Pending Create new sheet name as "Groups" (for group distribution): Column: GroupIds Add LinkedIn Group IDs, one per row Connect Google Sheets Nodes Connect your Google account to these nodes: Linkedin Post topic (Reads post topics) Get group id (Reads LinkedIn groups) Update Status (Writes back the status after posting) Configure GPT-4o (OpenAI) Add your OpenAI API key in the Linkedin Post creator node This node will generate high-quality content from your topic titles Connect LinkedIn Account Add your LinkedIn credentials in the Linkedin user detail node Ensure appropriate permissions to post on profile and groups Activate the Workflow : Once live, the workflow will: Monitor the Google Sheet for Pending posts. Generate content via GPT-4o. Post to: Your LinkedIn Profile Each LinkedIn Group listed in the Groups sheet Update the post Status to Posted Customization Tips Want to personalize this template? Change AI tone or style in the OpenAI node prompt Add a scheduler node if you'd like to post at fixed intervals Use a Slack or Telegram approval step before posting Integrate analytics tools to track post performance Suggested Sticky Notes for Workflow | Node or Section | Sticky Note Content | | ---------------------- | --------------------------------------------------------------------------- | | Linkedin Post topic | Reads the topic titles and statuses from Sheet1 | | OpenAI (GPT-4o) | Generates content using topic title — you can modify the tone/prompt here | | Linkedin user detail | Your personal LinkedIn credentials — required to post | | Group loop | Iterates through LinkedIn Group IDs and posts the content | | Update Status | Updates spreadsheet so the topic isn't re-posted |

This n8n demonstrates how any organisation can quickly and easily build and offer MCP servers to their customers or internal staff to improve productivity. This MCP example uses PayCaptain.com as an example and shows how to create an MCP server which can search for and update employee data. How it works A MCP server trigger is used and connected to 3 custom workflow tools: Search Employee, Get Employee by ID and Update Employee. Each tool makes calls to the PayCaptain API to perform their respective tasks. Extra care is performed to strip out sensitive data and ensure we're not sharing too much. The Update Employee too also guards against updating fields which would preferably remain readonly. When you control the MCP server, you can determine behaviour of the tool. Finally, a Google Sheet node is used to log all operations for later audit. This will add a tiny bit of latency but recommended if sensitive data is being accessed. How to use This MCP server allows any compatible MCP client to manage their PayCaptain employee database. You will need to have a PayCaptain account and developer key to use it. Connect your MCP client by following the n8n guidelines here - https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-langchain.mcptrigger/#integrating-with-claude-desktop Try the following queries in your MCP client: "When did Sarah start here employment at the company?" "Does Jack work Wednesdays or Fridays?" "Please update Tracy's NI number to ABCD123456" Requirements PayCaptain Account and Developer Key. Google Sheets to log actions for later audit. MCP Client or Agent for usage such as Claude Desktop - https://claude.ai/download Customising this workflow Add or remove employee attributes as required for your user case. If Google Sheets is too slow, consider an API call to a faster service to log calls to the MCP server. Remember to set the MCP server to require credentials before going to production and sharing this MCP server with others!

How it works Simplified registration: Automatically captures sign-ups via optimized web forms. Instant confirmations: Immediately sends confirmation emails with event details and calendar invites. Scheduled reminders: Automatic reminder sequence before the event to maximize attendance. Post-event follow-up: Automatically collects feedback and nurtures participants. Set up steps Registration form: Create or connect your event registration form. Calendar system: Integrate with Google Calendar or Outlook to manage time slots. Email service: Set up your sending platform (Gmail, SendGrid, Mailchimp). CRM integration: Sync with your CRM for participant tracking. Feedback survey: Prepare your post-event satisfaction questionnaire. Personalized sequences: Tailor messages based on event type. Key Features 🎯 Optimized registration: Responsive forms with real-time validation 📅 Automatic calendar management: Instantly adds to calendars and manages time slots ⏰ Smart reminders: Progressive sequence (D-7, D-1, H-2) with personalized content 📊 Complete tracking: Monitors sign-ups, attendance, and participation rates 🎤 Multi-event support: Manage multiple events and formats simultaneously 📱 Mobile notifications: Push alerts and SMS for urgent reminders 🔄 Automatic feedback: Collects and analyzes participant feedback automatically 📈 Detailed analytics: Performance reports and improvement insights Supported Event Types Webinars**: Online sessions with auto-generated access links Conferences**: In-person events with seat and logistics management Trainings**: Learning sessions with progress tracking Meetings**: Internal meetings with invite coordination Workshops**: Practical sessions with materials and prerequisites Automated Sequence Sign-up → Immediate confirmation + calendar invitation D-7 → Reminder email with detailed program D-1 → Final reminder with practical info H-2 → Last-minute notification with access links/details Post-event → Satisfaction survey + additional content

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Prerequisites A n8n account (free trial available) A Scrapeless account and API key A Google account to access Google Sheets 🛠️ Step-by-Step Setup 1. Create a New Workflow in n8n Start by creating a new workflow in n8n. Add a Manual Trigger node to begin. 2. Add the Scrapeless Node Add the Scrapeless node and choose the Scrape operation Paste in your API key Set your target website URL Execute the node to fetch data and verify results 3. Clean Up the Data Add a Code node to clean and format the scraped data. Focus on extracting key fields like: Title Description URL 4. Set Up Google Sheets Create a new spreadsheet in Google Sheets Name the sheet (e.g., Business Leads) Add columns like Title, Description, and URL 5. Connect Google Sheets in n8n Add the Google Sheets node Choose the operation Append or update row Select the spreadsheet and worksheet Manually map each column to the cleaned data fields 6. Run and Test the Workflow Click "Execute Workflow" in n8n Check your Google Sheet to confirm the data is properly inserted Results With this automated workflow, you can continuously extract business lead data, clean it, and push it directly into a spreadsheet — perfect for outbound sales, lead lists, or internal analytics. How to Use ⚙️ Open the Variables node and plug in your Scrapeless credentials. 📄 Confirm the Google Sheets node points to your desired spreadsheet. ▶️ Run the workflow manually from the Start node. Perfect For: Sales teams doing outbound prospecting Marketers building lead lists Agencies running data aggregation tasks

How it works This comprehensive recruitment automation workflow transforms your hiring process from manual screening to intelligent candidate management. The system begins by automatically collecting CVs from multiple job boards and career platforms, immediately parsing each submission using advanced AI technology to extract key information including skills, experience levels, educational background, and career progression patterns. Once parsed, the workflow employs predictive scoring algorithms that evaluate each candidate against your specific job requirements and company culture criteria. This multi-dimensional analysis considers technical skills alignment, experience relevance, cultural fit indicators, and career trajectory patterns to generate compatibility scores with remarkable accuracy. The system then seamlessly transitions qualified candidates into automated interview scheduling, coordinating availability across hiring managers, team members, and candidates while optimizing for timezone considerations and calendar conflicts. Finally, successful candidates enter a personalized onboarding workflow that adapts to their role, department, and experience level, ensuring smooth integration into your organization. Target audience and problem solved This workflow is designed for HR departments, talent acquisition teams, and growing companies struggling with time-intensive recruitment processes. It specifically addresses the challenges of manual CV screening, subjective candidate evaluation, scheduling conflicts, and inconsistent onboarding experiences. Organizations processing high volumes of applications or seeking to eliminate recruitment bias while maintaining quality standards will benefit most from this automation. Set up steps Prerequisites: Ensure you have API access to your chosen AI parsing service (OpenAI, Affinda, or equivalent), active accounts on target job boards, and administrative access to your calendar and ATS systems. Configure job board integrations: Connect your LinkedIn Recruiter, Indeed, and Glassdoor accounts using their respective APIs. Set up webhook endpoints to automatically capture new CV submissions and configure filtering criteria based on job titles, locations, and basic qualifications. Establish AI parsing service: Choose and configure your CV analysis provider (OpenAI for natural language processing, Affinda for specialized CV parsing, or alternative services). Set up API credentials and define extraction templates for skills, experience, education, and custom fields relevant to your industry. Integrate calendar systems: Connect Google Calendar, Outlook, or your preferred scheduling platform. Configure availability windows for all hiring team members, set interview duration templates, and establish buffer times between meetings. Synchronize ATS platform: Link your Applicant Tracking System (Workday, BambooHR, Greenhouse, etc.) to ensure seamless candidate data flow. Map workflow fields to your ATS schema and establish status update triggers. Connect interview tools: Integrate video conferencing platforms (Zoom, Microsoft Teams, Google Meet) for automatic meeting room creation and invitation distribution. Configure recording settings and waiting room preferences. Link HRMS for onboarding: Connect your Human Resource Management System to trigger personalized onboarding sequences based on role type, department, and seniority level. Key Features 🧠 Advanced CV analysis**: Leverages machine learning to automatically extract and categorize skills, experience, education, certifications, and career progression patterns with 95% accuracy 📊 Multi-criteria scoring**: Implements customizable evaluation matrices considering technical skills, soft skills, experience relevance, cultural fit indicators, and growth potential 📅 Intelligent scheduling**: Automatically coordinates complex interview schedules across multiple stakeholders, considering time zones, availability preferences, and interview type requirements 🎯 Precise candidate matching**: Generates compatibility percentages based on job requirements, team dynamics, and long-term career alignment factors ⚡ Accelerated recruitment cycle**: Reduces time-to-hire by up to 60% through automated screening, intelligent prioritization, and streamlined communication workflows 👥 Collaborative evaluation**: Enables structured feedback collection from multiple interviewers with standardized scoring rubrics and consensus-building tools 📱 Enhanced candidate experience**: Provides mobile-optimized interfaces for application tracking, interview scheduling, and communication throughout the recruitment journey 🔄 Continuous optimization**: Automatically tracks and analyzes recruitment metrics to continuously improve scoring algorithms and process efficiency Customization options The workflow offers extensive customization capabilities including adjustable scoring weights for different criteria, industry-specific skill taxonomies, custom interview formats, and role-based onboarding paths. Organizations can configure approval workflows, set up custom notification templates, and establish specific integration parameters to match their unique recruitment processes and company culture. This automation solution transforms recruitment from a time-intensive manual process into a strategic, data-driven system that improves both hiring quality and candidate experience while significantly reducing administrative overhead.

How it works • Automatically detects when new pages are created in your Notion workspace • Uses AI to generate contextually relevant icons based on page titles for perfect visual representation • Fetches random high-quality cover images from Unsplash to add visual appeal to each page • Seamlessly integrates with your existing Notion workflow without manual intervention Set up steps • Connect your Notion workspace using API credentials - takes about 5 minutes to configure • Set up AI service integration for intelligent icon generation based on page titles • Configure Unsplash API access for random cover image fetching • Configure webhook triggers to monitor new page creation events • Test the workflow with a sample page to ensure proper functionality • Keep detailed setup instructions and troubleshooting tips in the workflow notes for future reference This template helps streamline your Notion workspace by automatically beautifying new pages with AI-generated icons and stunning Unsplash covers, saving you time while maintaining a visually appealing and professional appearance across your knowledge base.

Workflow Purpose This workflow periodically checks a service's availability and sends an SMS notification if the service is down. High-Level Steps Schedule Trigger: The workflow is triggered at a specified interval, such as every minute. HTTP Request: An HTTP request is sent to the URL of the service being monitored. If: The HTTP status code of the response is checked. If the status code is 200 (OK), the workflow ends. If the status code is not 200, indicating a potential issue, an SMS notification is sent using Twilio. Setup Setting up this workflow is relatively straightforward and should only take a few minutes: Create a new n8n workflow. Add the nodes: Schedule Trigger, HTTP Request, If, and Twilio. Configure the nodes: Schedule Trigger: Specify the desired interval. HTTP Request: Enter the URL of the service to be monitored. If: Set the condition to check for a status code other than 200. Twilio: Enter the Twilio account credentials and the phone numbers for sending and receiving the SMS notification. Connect the nodes: Connect the nodes as shown in the workflow diagram. Activate the workflow: Save the workflow and activate it. Additional Notes The workflow can be customized by changing the interval, the URL, the Twilio credentials, and the SMS message. This workflow is a simple example, and more complex workflows can be created to meet specific needs.

📰 This AI-powered agent performs real-time sentiment analysis on Tesla (TSLA) news to support trading decisions. It aggregates headlines from 5 trusted sources and uses DeepSeek Chat to classify sentiment and generate structured summaries. This tool is a critical sub-agent in the broader Tesla Quant Trading AI Agent system. ⚠️ Not standalone — this agent is designed to be executed by the Tesla Quant Trading AI Agent. ⚙️ Requires: DeepSeek Chat API Key 🔌 Workflow Role This tool processes Tesla-related news and produces output like: { "sentiment": "bullish", "summary": "Tesla stock rallied today after strong delivery numbers and Cybertruck updates. Analysts remain optimistic.", "topHeadlines": [ "Tesla beats Q2 delivery forecast – Yahoo Finance", "Cybertruck ramps up in Texas – Electrek", "Berlin Gigafactory expands battery production – CleanTechnica" ] } Its output feeds directly into the master trading agent’s final trade report. 📰 News Sources Used This agent collects real-time headlines from: Google News (filtered by “Tesla” or “TSLA”) Yahoo Finance (TSLA-specific feed) Electrek (Tesla archive) CleanTechnica (Tesla sustainability news) TeslaNorth (app/product release updates) These five tools are always queried together to ensure market-wide signal coverage. 🤖 What the Agent Does Pulls headlines from all 5 Tesla-specific RSS feeds Uses DeepSeek Chat to: Analyze narrative tone (bullish / bearish / neutral) Identify macro/financial drivers Generate a 2–3 sentence summary Return top 3–5 headlines Outputs structured JSON for downstream use 🛠️ Setup Instructions 1. Install & Name Import this file and name it: Tesla_News_and_Sentiment_Analyst_Tool 2. Add DeepSeek API Credentials Go to: Credentials → Add New → DeepSeek API Save as: DeepSeek account 3. Internet Access Required Ensure RSS feeds can fetch live headlines Works best with a cloud-hosted n8n instance or tunnel-enabled local install 4. Must Be Triggered by Parent Triggered via Execute Workflow by the Tesla Quant Trading AI Agent Requires these inputs: message: optional query context sessionId: passed to maintain short-term memory across executions 🧠 Agent Architecture | Node Name | Function | | ---------------------------------- | ------------------------------------------------ | | DeepSeek Chat Model | Performs AI-based sentiment analysis | | Tesla News and Sentiment Analyst | Combines results, formats output in strict JSON | | Simple Memory | Stores session-level context (short-term memory) | | 5x RSS nodes | Aggregate Tesla news from trusted media outlets | 📌 Sticky Notes Included 🟢 Trigger from Parent Workflow – Executed only by main TSLA agent 🟠 News Feeds Overview – Lists and explains each of the 5 feeds 🧠 DeepSeek Chat Notes – Describes LLM behavior and parsing role 🔵 Short-Term Memory – Buffers sentiment context during user session 📘 Sentiment Analyst Agent – Summarizes key responsibilities 📎 Licensing & Attribution © 2025 Treasurium Capital Limited Company This architecture, workflow structure, and prompt design are licensed for educational and operational use only. Commercial resale or rebranding prohibited without authorization. 🔗 Creator: Don Jayamaha 🔗 Templates: https://n8n.io/creators/don-the-gem-dealer/ 🚀 Power your TSLA trading with AI-driven sentiment—built with DeepSeek Chat and 5 trusted news sources. This tool is required by the Tesla Quant Trading AI Agent.

WhatsApp Flows Encrypted Data Exchange Workflow Summary This workflow enables secure end-to-end encrypted data exchange with WhatsApp Flows for interactive applications inside Whatsapp. It implements the WhatsApp Business Encryption protocol using RSA for key exchange and AES-GCM for payload encryption, providing a secure channel for sensitive data transmission while interfacing with WhatsApp's Business API. This follows the official WhatsApp Business Encryption specifications to establish an encrypted GraphQL-powered data exchange channel between your business and the WhatsApp consumer client. How It Works Encryption Flow Webhook Reception: Receives encrypted data from WhatsApp containing: encrypted_flow_data: The AES-encrypted payload encrypted_aes_key: The RSA-encrypted AES key initial_vector: Initialization vector for AES decryption Decryption Process: The workflow decrypts the AES key using an RSA private key Then uses this AES key to decrypt the payload data The inverted IV is used for response encryption Data Processing: The workflow parses the decrypted JSON data Routes requests based on the screen parameter. Response Generation: Generates appropriate response data based on the request type Encrypts the response using the same AES key and inverted IV Returns the base64-encoded encrypted response Key Components Webhook Endpoint**: Entry point for encrypted WhatsApp requests Decryption Pipeline**: RSA and AES decryption components Business Logic Router**: Screen-based routing for different functionality Encryption Pipeline**: Secure response encryption How to Use Deploy the Workflow: Import the workflow JSON into your n8n instance Set Up WhatsApp Integration: Configure your WhatsApp Business API to send requests to your n8n webhook URL Ensure your WhatsApp integration is set up to encrypt data using the public key pair of the private key used in this workflow Test the Flow: Send an encrypted test message from WhatsApp to verify connectivity Check if appointment data is being retrieved correctly Validate that seat selection is functioning as expected Production Use: Monitor the workflow performance in production Set up error notification if needed Requirements Authentication Keys RSA Private Key: Required for decrypting the AES key (included in the workflow) WhatsApp Business Public Key: Must be registered with the WhatsApp Business API PostgreSQL Credentials: For accessing appointment data from the database WhatsApp Business Encryption Setup As specified in the WhatsApp Business Encryption documentation: Generate a 2048-bit RSA Key Pair: The private key remains with your business (used in this workflow) The public key is shared with WhatsApp Register the Public Key with WhatsApp: Use the WhatsApp Cloud API to register your public key Set up the public key using the /v17.0/{WhatsApp-Business-Account-ID}/whatsapp_business_encryption endpoint Key Registration API Call: POST /v17.0/{WhatsApp-Business-Account-ID}/whatsapp_business_encryption { "business_public_key": "YOUR_PUBLIC_KEY" } Verification: Verify your public key is registered using a GET request to the same endpoint Ensure the key status is "active"

🤖📞 This workflow automates the process of calling customers to remind them of their booking reservations using AI-generated messages and a Twilio phone number. It can easily be adapted for other venues. Key Benefits Time-Saving Automation**: Eliminates the need for manual calls by staff, saving hours per week. Human-like AI Messages**: Uses a custom language model to generate polite, natural phone messages tailored to each customer. Multi-Channel Integration**: Google Sheets for reservation tracking. Twilio for automated calling. OpenRouter (or other LLMs) for generating speech content. Error Reduction**: Ensures all customers receive reminders exactly on the reservation day, minimizing no-shows. Scalable**: Easily adapts to growing reservation lists and more complex message logic. Suitable** for restaurants, hairdressers, offices and any other business How It Works Trigger: The workflow can be triggered manually (via "When clicking ‘Execute workflow’) or automatically at 11 AM daily (via Schedule Trigger). Data Fetch: Retrieves today’s reservations from a Google Sheet, filtering rows where DATE = today and CALLED is empty. AI-Generated Call Script: For each reservation, the Secretary Agent (powered by OpenRouter’s Grok-4) generates a phone script using the guest’s name, time, and party size. Twilio Call: The script is sent to Twilio, which calls the guest’s phone number (from the sheet) and reads the message aloud using text-to-speech. Update & Loop: Marks the reservation as called (CALLED = "x") in the sheet and waits 2 minutes between calls to avoid rate limits. Set Up Steps Twilio Configuration: Sign up for Twilio, buy a phone number, and: Enable text-to-speech (set language to Italian). Configure geo permissions for the target country. Add credentials to the Twilio node (sender number in From field). Google Sheets Setup: Clone the Google Sheet template and ensure: Phone numbers include the international prefix (without "+"). Columns: DATE, TIME, NAME, N. PEOPLE, PHONE, CALLED. OpenRouter API: Connect the OpenRouter Chat Model node to your account (using Grok-4 or another model). Deploy: Activate the workflow and test with manual execution. Note: The workflow is currently inactive (active: false). Enable it after setup. Need help customizing? Contact me for consulting and support or add me on Linkedin.