Workflow Templates

This workflow combines customers' details with their payment data and passes the input to Pipedrive as a note to the organization. Prerequisites Stripe account and Stripe credentials Pipedrive account and Pipedrive credentials How it works Cron node triggers the workflow every day at 8 a.m. HTTP Request node searches for payments in Stripe. The Item Lists node creates separate items from a list of payment data. Merge node takes in the payment data as an input 1. Stripe node gets all the customers data. Set node renames customer-related data fields and keeps only needed fields. Merge node takes in the customer data as an input 2. Merge node combines the payment data with the customers one. Pipedrive node searches for the organization and creates a note with payment data.

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.

How it works This template is a hands-on tutorial for one of n8n's most powerful data tools: the Compare Datasets node. It's the perfect next step after learning basic logic, showing you how to build robust data synchronization workflows. We use a simple Warehouse Audit analogy to make the concept crystal clear: Warehouse A:* Our main, "source of truth" database. This is the master list of what our inventory *should be. Warehouse B:** A second, remote database (like a Notion page or Google Sheet) that we need to keep in sync. The Compare Datasets Node:* This is our *Auditor**. It takes both inventory lists and meticulously compares them to find any discrepancies. The Auditor then sorts every item into one of four categories, which correspond to the node's four outputs: In A only: New products found in our main warehouse that need to be added to Warehouse B. Same: Products that match perfectly in both warehouses. No action needed! Different: Products that exist in both places but have different details (e.g., stock count). These need to be updated in Warehouse B. In B only: Extra products found in Warehouse B that aren't in our master list. These need to be deleted. This pattern is the foundation for any two-way data sync you'll ever need to build. Set up steps Setup time: 0 minutes! This workflow is a self-contained tutorial and requires no setup or credentials. Click "Execute Workflow" to start the audit. Explore the two Set nodes ("Warehouse A" and "Warehouse B") to see the initial data we are comparing. Click on "The Auditor" (Compare Datasets node) to see how it's configured to use product_id as the matching key. Follow the outputs to the four NoOp nodes to see which products were sorted into each category. Read the sticky notes next to each output—they explain exactly why each item ended up there.

This workflow automates the restaurant POS (Point of Sale) data management process, facilitating seamless order handling, customer tracking, inventory management, and sales reporting. It retrieves order details, processes payment information, updates inventory, and generates real-time sales reports, all integrated into a centralized system that improves restaurant operations. The workflow integrates various systems, including a POS terminal to gather order data, payment gateways to process transactions, inventory management tools to update stock, and reporting tools like Google Sheets or an internal database for generating sales and performance reports. Who Needs Restaurant POS Automation? This POS automation workflow is ideal for restaurant owners, managers, and staff looking to streamline their operations: Restaurant Owners – Automate order processing, track sales, and monitor inventory to ensure smooth operations. Managers – Access real-time sales data and performance reports to make informed decisions. Staff – Reduce manual work, focusing on providing better customer service while the system handles orders and payments. Inventory Teams – Automatically update inventory levels based on orders and ingredient usage. If you need a reliable and automated POS solution to manage restaurant orders, payments, inventory, and reporting, this workflow minimizes human error, boosts efficiency, and saves valuable time. Why Use This Workflow? End-to-End Automation – Automates everything from order input to inventory updates and sales reporting. Seamless Integration – Connects POS, payment systems, inventory management, and reporting tools for smooth data flow.(if needed) Real-Time Data – Provides up-to-the-minute reports on sales, stock levels, and order statuses. Scalable & Efficient – Supports multiple locations, multiple users, and high order volumes. Step-by-Step: How This Workflow Manages POS Data Collect Orders – Retrieves order details from the POS system, including customer information, ordered items, and payment details. Update Inventory – Decreases inventory levels based on sold items, ensuring stock counts are always accurate. Generate Reports – Compiles sales, revenue, and inventory data into real-time reports and stores them in Google Sheets or an internal database. Track Customer Data – Keeps a log of customer details and order history for better service and marketing insights. Customization: Tailor to Your Needs Multiple POS Systems – Adapt the workflow to work with different POS systems or terminals based on your restaurant setup. Custom Reporting – Modify the reporting format or include specific sales metrics (e.g., daily totals, best-selling items, employee performance). Inventory Management – Adjust inventory updates to include alerts when stock reaches critical levels or needs reordering. Integration with Accounting Software – Connect with platforms like QuickBooks for automated financial tracking. 🔑 Prerequisites POS System Integration – Ensure the POS system can export order data in a compatible format. Payment Gateway API – Set up the necessary API keys for payment processing (e.g., Stripe, PayPal). Inventory Management Tools – Use inventory software or databases that can automatically update stock levels. Reporting Tools – Use Google Sheets or an internal database to store and generate sales and inventory reports. 🚀 Installation & Setup Configure Credentials Set up API credentials for payment gateways and inventory management tools. Import Workflow Import the workflow into your automation platform (e.g., n8n, Zapier). Link POS system, payment gateway, and inventory management systems. Test & Run Process a test order to ensure that data flows correctly through each step. Verify that inventory updates and reports are generated as expected. ⚠ Important Data Privacy – Ensure compliance with data protection regulations (e.g., GDPR, PCI DSS) when handling customer payment and order data. System Downtime – Monitor system performance to ensure that the workflow runs without disruptions during peak hours. Summary This restaurant POS automation workflow integrates order management, payment processing, inventory updates, and real-time reporting, enabling efficient restaurant operations. Whether you are running a single location or a chain of restaurants, this solution streamlines daily tasks, reduces errors, and provides valuable insights, saving time and improving customer satisfaction. 🚀

Description This powerful n8n automation template enables seamless synchronization between Zoho Inventory and Supabase—keeping your product database up to date with zero manual effort. Whether you’re running an eCommerce store, inventory dashboard, or product catalog app, this workflow ensures your data pipeline stays clean, consistent, and fully automated. What This Template Does: 🔁 Runs on a schedule to fetch inventory data from Zoho 🔓 Authenticates via OAuth using refresh token for secure API access 📦 Fetches products & variants with complete metadata 🔄 Splits each item and maps it into Supabase row-by-row 📊 Pushes rich product data, including name, SKU, unit, tags, stock levels, dimensions, and up to 3 custom attributes Fields Included in Sync: Product ID, Variant ID, Variant Name, Brand, SKU Returnability, Item Type, Unit, Attributes (1–3) Tags, Stock on Hand, UPC/EAN/ISBN, Status Reorder Level, Dimensions, Created Time, and more Requirements: Zoho Inventory API access (with Refresh Token) Supabase account & API key Target table (e.g., Fairy Frills) set up in Supabase Optional: Custom field mapping for additional use cases Perfect For: Inventory managers syncing Zoho to custom dashboards D2C brands and eCommerce platforms powered by Supabase Internal tooling teams needing a real-time product database sync Startups replacing spreadsheets with a production-grade backend

This workflow automatically tracks inventory stock levels across multiple products and suppliers to prevent stockouts and optimize inventory management. It saves you time by eliminating the need to manually check stock levels and provides automated alerts when inventory reaches critical thresholds. Overview This workflow automatically scrapes supplier websites, e-commerce platforms, and inventory systems to monitor real-time stock levels and availability. It uses Bright Data to access inventory data and AI to intelligently parse stock information, detect low inventory alerts, and track supply chain trends. Tools Used n8n**: The automation platform that orchestrates the workflow Bright Data**: For scraping inventory and supplier websites without being blocked OpenAI**: AI agent for intelligent stock level analysis and trend detection Google Sheets**: For storing inventory data and tracking stock movements How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Bright Data: Add your Bright Data credentials to the MCP Client node Set Up OpenAI: Configure your OpenAI API credentials Configure Google Sheets: Connect your Google Sheets account and set up your inventory tracking spreadsheet Customize: Define product URLs and inventory monitoring parameters Use Cases E-commerce**: Monitor product availability across multiple suppliers Retail Management**: Track inventory levels to prevent stockouts Supply Chain**: Monitor supplier stock levels and lead times Procurement**: Identify restocking needs and optimize purchasing decisions Connect with Me Website**: https://www.nofluff.online YouTube**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Get Bright Data**: https://get.brightdata.com/1tndi4600b25 (Using this link supports my free workflows with a small commission) #n8n #automation #inventorytracking #stockmonitoring #brightdata #webscraping #inventorymanagement #n8nworkflow #workflow #nocode #stocklevels #supplychain #inventoryautomation #stockalerts #ecommerce #procurement #inventorycontrol #stockanalysis #suppliermonitoring #inventoryoptimization #stocktracking #warehousemanagement #retailautomation #inventorydata #stockmanagement #supplymanagement #inventorymonitoring #productavailability #stockforecasting #inventoryinsights

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Monetize Your n8n Workflow with x402 This workflow lets you monetize any n8n workflow with the x402 payment protocol. It uses 1Shot API as the onchain transaction fascilitator role. Check out the tutorial video for a complete walkthrough.

How it works This template is an end-to-end demo of an in-house AI agent that can answer a wide range of questions by retrieving information from the Cin7 ERP system. For example users can ask questions related to products, stock, accounting or any other type of information contained in Cin7. Peliqan.io is used as a "cache" of all Cin7 data. Peliqan uses one-click ELT to sync all data from Cin7 to the built-in data warehouse, allowing for fast & accurate queries. The AI agent uses Text-to-SQL to answer questions. Text-to-SQL is performed via the Peliqan node, added as a tool to the AI Agent. The question of the user - in natural language - is converted to an SQL query by the AI Agent. The query is executed by Peliqan.io on the source Cin7 data and the result is interpreted by the AI Agent. Preconditions You signed up for a Peliqan.io free trial account You have a Cin7 Omni or Cin7 Core ERP system Set up steps Sign up for a free trial on peliqan.io Add Cin7 Omni or Cin7 Core as a connection in Peliqan (using an API key from Cin7) Copy your Peliqan API key (in Peliqan go to Settings > API key) and use it in n8n to add a Peliqan connection Select your data warehouse in the Peliqan node "Execute an SQL query via Peliqan" in the drop-down field "Data warehouse name or id" Optional: run the template script in Peliqan that outputs your specific Cin7 datamodel (tables & columns). Copy your datamodel and paste it in the System Message of the AI Agent (replace the standard Cin7 model already present in this workflow) Visit peliqan.io/n8n for more information. Need help ? Contact Peliqan at support@peliqan.io Disclaimer: This template contains a community node and therefore only works for n8n self-hosted users.

How it works This template is an end-to-end demo of an in-house AI agent that can answer a wide range of questions by retrieving information from the Uniconta ERP system. For example users can ask questions related to products, stock, accounting or any other type of information contained in Uniconta. Peliqan.io is used as a "cache" of all Uniconta data. Peliqan uses one-click ELT to sync all data from Uniconta to the built-in data warehouse, allowing for fast & accurate queries. The AI agent uses Text-to-SQL to answer questions. Text-to-SQL is performed via the Peliqan node, added as a tool to the AI Agent. The question of the user - in natural language - is converted to an SQL query by the AI Agent. The query is executed by Peliqan.io on the source Uniconta data and the result is interpreted by the AI Agent. Preconditions You signed up for a Peliqan.io free trial account You have a Uniconta ERP system Set up steps Sign up for a free trial on peliqan.io Add Uniconta as a connection in Peliqan (using an API key from Uniconta) Copy your Peliqan API key (in Peliqan go to Settings > API key) and use it in n8n to add a Peliqan connection Select your data warehouse in the Peliqan node "Execute an SQL query via Peliqan" in the drop-down field "Data warehouse name or id" Optional: run the template script in Peliqan that outputs your specific Uniconta datamodel (tables & columns). Copy your datamodel and paste it in the System Message of the AI Agent (replace the standard Uniconta model already present in this workflow) Visit peliqan.io/n8n for more information. Need help ? Contact Peliqan at support@peliqan.io Disclaimer: This template contains a community node and therefore only works for n8n self-hosted users.

A production-ready n8n workflow that automatically analyzes websites to detect e-commerce platforms, frameworks, payment gateways, and technology stacks. Perfect for lead generation, competitive analysis, and market research. 🎯 Use Cases Lead Generation: Identify potential e-commerce clients Competitive Analysis: Analyze competitor technology stacks Market Research: Understand technology adoption trends Sales Intelligence: Qualify prospects based on their tech stack Agency Services: Automated technology audits for clients ⚡ Key Features Comprehensive Detection 50+ E-commerce Platforms: Magento, Shopify, WooCommerce, BigCommerce, Squarespace, Wix, etc. Modern Frameworks: React, Vue.js, Next.js, Angular, WordPress, Gatsby Payment Gateways: Stripe, PayPal, Square, Klarna, Razorpay, Braintree E-commerce Features: Cart, Catalog, Checkout, Wishlist, PWA capabilities Custom E-commerce: Detects custom-built e-commerce solutions Production-Ready Features Intelligent Error Handling: Specific error types (DNS, SSL, timeout, 404, 500, etc.) Rate Limiting: Respectful 2-second delays between requests Batch Processing: Processes domains in chunks of 5 for optimal performance Retry Logic: 3 attempts with exponential backoff for failed requests SSL Handling: Ignores certificate issues for broader compatibility Smart Domain Processing Multiple Detection Methods: 8 different approaches to extract domain names Protocol Auto-Addition: Automatically adds https:// to bare domains Domain Cleaning: Removes www, paths, and query parameters HTML Meta Extraction: Fallback domain detection from og:url and canonical tags Advanced Analysis Confidence Scoring: 0-100% accuracy rating for each detection Comprehensive Logging: Detailed console output for debugging Multiple Triggers: Manual execution or scheduled automation Flexible Output: Updates Google Sheets with structured results

Create Products in Shopify from Airtable This workflow creates products in your Shopify store from Airtable. 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 keep shopify in sync with Airtable if Airtable is your primary source of data, Only records with the 'sync' column set to true are sync'd. Setup Airtable Automations so that if any records are created or updated then this flag is set to true. Records are matched using the 'slug' column which Shopify calls a handle. Airtable Setup Notes The Airtable products table has the following columns title - free text description - free text company - free text type - 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. sync - boolean, set to true to sync this record. Update GraphQL nodes with your Shopify store URL 1) Replace the URL in all GraphQL nodes with the URL for your Shopify store. 2) All GraphQL requests all use the Shopify 2025-04 GraphQL Admin API.

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