Category: n8n Workflows

What This Workflow Does

This workflow automates your entire inventory management process by combining real-time Shopify data with predictive analytics. It monitors stock levels, predicts reorder points based on historical sales patterns, and automatically notifies suppliers and team members when action is needed. No more manual inventory checks or missed reorder opportunities.

How It Works

The workflow runs on an hourly schedule to keep your inventory data constantly updated. Here’s the step-by-step process:

• A scheduled trigger initiates the workflow every hour
• Live inventory levels and product details are pulled directly from your Shopify store
• Recent order history is retrieved to analyze sales velocity
• Your Inventory Master, Supplier list, and Purchase Order Log are read from Google Sheets
• All data sources are merged into a unified SKU-level dataset
• Predictive analytics code calculates optimal reorder points based on lead times and sales trends
• An if-statement logic evaluates whether reordering is necessary
• When action is required, notifications are sent via Gmail and Slack simultaneously
• An HTTP request can trigger supplier ordering systems or external APIs
• A wait node adds deliberate pauses to respect rate limits or batch processing needs
• A sticky note provides workflow documentation and notes

Use Cases

• E-commerce businesses managing hundreds of SKUs across multiple suppliers can eliminate stockouts and overstock situations with data-driven reordering
• Dropshipping operations use this workflow to automatically monitor supplier inventory and adjust reorder quantities based on real-time demand
• Multi-channel retailers synchronize Shopify inventory with supplier systems to maintain accurate stock levels across all sales channels
• Seasonal businesses forecast peak demand periods and automatically increase reorder quantities before busy seasons begin
• Logistics companies track inventory across warehouses and automatically redistribute stock based on regional demand patterns

Nodes Used

• Schedule Trigger: Initiates the workflow on a recurring hourly schedule
• Set: Defines initial variables and workflow parameters
• Shopify: Connects to your Shopify store to retrieve inventory and order data
• Google Sheets: Reads supplier lists, inventory masters, and purchase order history
• Merge: Combines multiple data sources into a single unified dataset
• Code: Executes custom JavaScript for predictive analytics calculations
• If: Creates conditional branches to determine if reordering is necessary
• Gmail: Sends email notifications to suppliers and team members
• HTTP Request: Sends data to external APIs or supplier ordering systems
• Wait: Pauses execution to respect API rate limits or allow batch processing
• Slack: Posts real-time alerts to your team Slack channel
• Sticky Note: Provides inline documentation and workflow notes

Prerequisites

• An active Shopify store with API access enabled
• A Google account with Google Sheets access for storing inventory data
• Gmail or SMTP credentials configured for email notifications
• A Slack workspace with bot permissions for sending messages
• Supplier API endpoints or contact information for automated ordering
• Historical sales and inventory data to establish accurate reorder point calculations
• Basic understanding of inventory management principles and lead times

Difficulty Level

Intermediate. This workflow requires basic familiarity with n8n, API connections, and Google Sheets. The predictive analytics code node can be customized based on your specific business logic, but the provided template handles most standard inventory scenarios. No advanced programming knowledge is required if you use the default settings.

This workflow template is shared under the n8n fair-code license. Free to use and modify.

What This Workflow Does

This n8n workflow automates the process of notifying Shopify customers about their order fulfillment status through WhatsApp messages. When an order is marked as fulfilled in Shopify, the workflow automatically extracts order and customer details, validates phone numbers for WhatsApp compatibility using the Rapiwa API, and sends personalized tracking information directly to customers via WhatsApp.

How It Works

The workflow follows a streamlined process to ensure reliable order fulfillment notifications:

• A Shopify trigger detects when an order status changes to fulfilled
• Order data is extracted including customer name, phone number, and tracking information
• A code node processes and validates the customer phone numbers for WhatsApp compatibility
• The Rapiwa API is used to verify that phone numbers are WhatsApp-enabled before sending messages
• Valid phone numbers are split into batches for efficient processing using the splitInBatches node
• An HTTP request node sends WhatsApp messages through the Rapiwa API with tracking details
• A wait node introduces appropriate delays between batch processing to avoid rate limiting
• Conditional logic determines next steps based on API response status
• All interactions and delivery status are logged to Google Sheets for record-keeping and analytics

Use Cases

• E-commerce Automation: Automatically notify customers when their purchases ship, reducing manual communication overhead and improving customer satisfaction
• International Order Management: Send tracking updates via WhatsApp to customers in countries where WhatsApp is the preferred communication channel
• Multi-Channel Fulfillment: Manage orders from multiple Shopify stores and send consolidated tracking information through a single WhatsApp notification system
• Real-time Delivery Updates: Provide customers with immediate shipping notifications including tracking links and estimated delivery dates upon order fulfillment
• Customer Data Logging: Maintain a comprehensive record of all customer communications and delivery statuses in Google Sheets for customer service and analytics purposes

Nodes Used

• Shopify Trigger: Listens for order fulfillment events in your Shopify store
• Code Node: Processes and validates customer phone numbers and order data
• HTTP Request: Sends API requests to Rapiwa for WhatsApp message delivery
• Split in Batches: Divides phone numbers into manageable batches for processing
• Google Sheets: Records all order fulfillment and message delivery logs for tracking and reporting
• Wait Node: Creates delays between batch sends to comply with API rate limits
• If Node: Implements conditional logic based on API responses and validation results
• Sticky Note: Provides inline documentation and workflow guidance

Prerequisites

• An active Shopify store with API access and order management capabilities
• A Rapiwa API account with valid credentials and WhatsApp integration enabled
• A Google Sheets document to store fulfillment logs and delivery statuses
• Access to n8n platform with sufficient workflow execution credits
• Customer phone numbers stored in the correct international format in Shopify order data
• API keys and authentication tokens for both Shopify and Rapiwa services configured in n8n

Difficulty Level

Intermediate. This workflow requires understanding of Shopify webhooks, API integration, and basic JavaScript code for phone number validation. Users should be comfortable configuring authentication credentials and mapping data between multiple platforms. Some familiarity with batch processing and conditional logic is beneficial but not strictly required.

This workflow template is shared under the n8n fair-code license. Free to use and modify.

What This Workflow Does

This n8n workflow automates the creation of Shopify orders directly from Airtable records. When you mark an order as ready in Airtable, the workflow automatically creates the corresponding order in your Shopify store and sends a confirmation email via Gmail. This eliminates manual data entry and ensures seamless synchronization between your Airtable database and Shopify sales channel.

How It Works

The workflow follows a logical sequence of automated steps:

• A webhook serves as the trigger point, listening for signals from Airtable Automations
• When you mark an order as ready in Airtable, the automation sends the unique record ID to the webhook
• The Airtable node retrieves the complete order details using the record ID
• The Shopify node creates a new order in your Shopify store with the retrieved information
• An if condition node evaluates whether the order creation was successful
• Upon successful creation, the Gmail node sends an automated confirmation email to the customer
• The workflow logs all actions for troubleshooting and audit purposes

Use Cases

• E-commerce managers who process orders in Airtable before pushing them to Shopify for fulfillment
• Multi-channel sellers who consolidate orders from various sources into Airtable before syncing to Shopify
• Dropshipping businesses that manage inventory and orders in Airtable and need automatic Shopify order creation
• Custom order management systems where Airtable serves as the order staging ground before Shopify processing
• Teams requiring automated customer notifications whenever orders transition from pending to ready status

Nodes Used

• Sticky Note: Documentation node for workflow instructions and setup details
• Webhook: Entry point that receives signals from Airtable Automations with order record IDs
• Airtable: Retrieves complete order information from your Airtable base using the provided record ID
• Shopify: Creates new orders in your Shopify store with the order details from Airtable
• Gmail: Sends automated confirmation emails to customers upon successful order creation
• If: Conditional logic node that determines whether the order was created successfully before sending confirmations

Prerequisites

• An active Shopify store with API access credentials
• An Airtable account with a base containing your order records
• A Gmail account for sending automated confirmation emails
• n8n instance with webhook capability enabled
• Airtable Automations feature available in your workspace
• API keys and authentication tokens for all three services configured in n8n
• Properly structured Airtable records containing order data fields

Difficulty Level

Intermediate. This workflow requires familiarity with webhooks, basic API authentication, and conditional logic. You’ll need to configure credentials for three external services and map data fields correctly between Airtable and Shopify. The webhook setup with Airtable Automations requires careful attention to ensure the correct production URL is used in your automation trigger.

This workflow template is shared under the n8n fair-code license. Free to use and modify.

What This Workflow Does

This workflow automates the complete process of capturing new products from your Shopify store and instantly publishing them to Instagram and Facebook with AI-generated captions and hashtags. It eliminates manual social media posting by creating engaging product announcements in seconds.

How It Works

The workflow operates through three main stages:

• Product Capture: Monitors your Shopify store for newly created products and automatically extracts essential details including product name, description, pricing, images, and inventory information.
• AI Content Generation: Uses OpenAI to intelligently generate compelling product captions and relevant hashtags tailored for social media engagement.
• Multi-Platform Publishing: Posts the product information, images, and AI-generated content directly to both Instagram and Facebook through the Meta Graph API, while logging all activity to Google Sheets and sending notifications to Discord.

Use Cases

• Fashion Retailers: Automatically showcase new clothing items, accessories, and seasonal collections across social platforms without manual intervention.
• E-commerce Dropshippers: Scale product launches across multiple stores by syncing inventory updates to social media in real-time.
• Beauty and Cosmetics Brands: Maintain consistent posting schedules for new product launches with professionally written AI captions highlighting key features and benefits.
• Electronics Retailers: Quickly announce new gadgets and tech products with detailed specifications automatically converted into social-friendly formats.
• Small Business Owners: Save hours on social media management by automating posts while focusing resources on product development and customer service.

Nodes Used

• Shopify Trigger: Monitors the Shopify store for new product creation events and initiates the workflow.
• Set Node: Organizes and structures the extracted product data for downstream processing.
• Function Node: Performs custom data transformations and prepares information for API requests.
• OpenAI Node: Generates unique, engaging captions and hashtags using artificial intelligence based on product details.
• HTTP Request: Sends API calls to Meta Graph API for posting to Instagram and Facebook.
• Google Sheets: Logs all posted products with timestamps, captions, and performance data for record-keeping.
• Discord: Sends real-time notifications confirming successful posts or alerting on failures.
• Wait Node: Adds delays between operations to respect API rate limits and spacing between posts.
• Merge Node: Combines data from multiple sources before logging and publishing.
• Sticky Note: Provides workflow documentation and instructions for users.

Prerequisites

• An active Shopify store with API access and webhook capabilities enabled.
• Meta Business Account with Instagram and Facebook pages connected and Graph API access configured.
• OpenAI API key with sufficient credits for caption generation requests.
• Google Sheets document with appropriate column headers for logging product posts.
• Discord server and webhook URL for receiving workflow notifications.
• Proper authentication credentials for all connected services configured in n8n.

Difficulty Level

Intermediate. This workflow requires basic familiarity with API connections, Shopify webhooks, and social media platform APIs. While the setup involves multiple integrations, each node is straightforward to configure with proper credentials. Users comfortable with automation platforms and API documentation should find this workflow manageable.

This workflow template is shared under the n8n fair-code license. Free to use and modify.

What This Workflow Does

This n8n workflow automates the creation of SEO-optimized content for Shopify products using advanced AI models including GPT-4O and Claude. It leverages a multi-agent system to generate high-quality product descriptions, meta tags, and SEO content automatically. The workflow integrates with Airtable for data management, Shopify for product information, and multiple AI providers for intelligent content generation.

How It Works

The workflow begins when a user submits a form selecting their desired content type: product description, product meta information, or SEO content. The system then searches Airtable for product records and fetches detailed product information from your Shopify store using the product handle. A multi-agent AI system processes this data to research relevant information via Perplexity, analyze the content requirements, and generate optimized SEO content tailored to your specifications. The completed content is then returned to Airtable and can be synced back to Shopify.

Key features include memory buffer management to maintain context across agent interactions, structured output parsing to ensure consistent formatting, and integration with multiple AI models for diverse creative approaches to content generation.

Use Cases

• E-commerce businesses managing large product catalogs who need to generate thousands of unique product descriptions at scale without manual writing
• SEO-focused merchants who want to automatically create meta titles and descriptions optimized for search engine rankings
• Dropshipping or reseller operations requiring rapid content creation across multiple product variations
• Multilingual stores needing to generate SEO content in different languages and cultural contexts
• Product managers looking to A/B test different content variations to determine which descriptions perform best

Nodes Used

• shopifyTrigger and shopify – Connect to Shopify store and fetch product data
• formTrigger – Accept user input for content type selection
• airtable and airtableTool – Store and retrieve product information
• @n8n/agent and @n8n/agentTool – Multi-agent AI system coordination
• @n8n/lmChatOpenRouter – Access to GPT-4O and Claude models
• perplexityTool – Research and fact-gathering capabilities
• @n8n/memoryBufferWindow – Maintain conversation context
• @n8n/outputParserStructured – Parse and format AI responses
• httpRequest and httpRequestTool – Make API calls and integrations
• @n8n/mcpTrigger and @n8n/mcpClientTool – Model context protocol support
• executeWorkflowTrigger – Trigger nested workflows
• @n8n/toolWorkflow – Create reusable workflow tools
• code – Execute custom JavaScript logic
• set – Set and manipulate variables
• stickyNote – Add documentation and notes

Prerequisites

• Active Shopify store with API access credentials
• Airtable account with base created for product management
• API keys for GPT-4O and Claude through OpenRouter or direct providers
• Perplexity API access for research capabilities
• n8n instance with required node packages installed
• Basic understanding of workflow configuration and API integration
• Product data structured in Airtable with product handles matching Shopify

Difficulty Level

Advanced – This workflow requires knowledge of multi-agent AI systems, API integration, Airtable configuration, Shopify product management, and n8n workflow design. Users should be comfortable setting up authentication tokens, mapping data between systems, and debugging complex workflows with multiple dependencies.

This workflow template is shared under the n8n fair-code license. Free to use and modify.

What This Workflow Does

This n8n workflow automates the process of scraping Y Combinator startup data and storing it in Google Sheets. It uses Apify to extract detailed company information from the Y Combinator directory and automatically populates a spreadsheet with the results. The entire process is triggered manually, giving you complete control over when data collection occurs.

How It Works

The workflow follows a streamlined three-step process:

• Manual Trigger: You initiate the workflow on demand, ensuring data is collected only when needed and preventing unnecessary API calls.
• Apify Actor Execution: The Apify node runs a web scraping actor that navigates Y Combinator and extracts comprehensive startup data including company names, descriptions, funding information, and founder details.
• Google Sheets Integration: The extracted data is automatically formatted and appended to your Google Sheets spreadsheet, creating a centralized database of Y Combinator companies.

Use Cases

• Startup Research: Build a regularly updated database of Y Combinator companies for investment analysis and market research purposes.
• Investor Due Diligence: Automatically collect startup information to streamline your portfolio research and competitive landscape analysis.
• Business Intelligence: Track emerging companies and industry trends by maintaining a current list of Y Combinator alumni and current cohorts.
• Sales and Outreach: Generate qualified leads from Y Combinator startups for B2B sales, partnerships, or vendor relationships.
• Academic and Market Analysis: Conduct research on startup ecosystems, funding patterns, and entrepreneurial trends using verified Y Combinator data.

Nodes Used

• Manual Trigger: Initiates the workflow on demand without scheduling or external events.
• Apify Actor: Executes web scraping tasks to extract Y Combinator startup data automatically.
• Google Sheets: Writes and updates startup information in your spreadsheet for easy access and analysis.
• Sticky Note: Provides workflow documentation and notes within the n8n interface.

Prerequisites

• An active n8n account with workflow creation permissions.
• An Apify account with access to web scraping actors and sufficient API credits.
• A Google account with Google Sheets enabled and API credentials configured.
• Basic understanding of n8n workflow structure and node configuration.
• Familiarity with Google Sheets for data organization and analysis.

Difficulty Level

Intermediate: This workflow requires basic knowledge of n8n, Apify configuration, and Google Sheets API integration. While the manual trigger keeps setup simple, configuring the Apify actor and authenticating Google Sheets requires some technical experience. Suitable for users comfortable with automation platforms and API connections.

This workflow template is shared under the n8n fair-code license. Free to use and modify.

What This Workflow Does

This n8n workflow automates the creation of Shopify product CSV files by extracting product information from images using artificial intelligence. It leverages Google Gemini and GPT-4O to analyze images, generate product descriptions, retrieve categories, and create tags automatically. The workflow integrates with Google Drive, Google Sheets, and Shopify to streamline the entire product data pipeline from image to live product listing.

How It Works

The workflow operates through six main sequential steps:

• Step 1: Updates image data from Google Drive into a Google Sheet for centralized tracking and processing
• Step 2: Analyzes product images using AI models to extract relevant product information and characteristics
• Step 3: Retrieves main product categories and classifies products accordingly
• Step 4: Generates product content, tags, and additional metadata using advanced language models
• Step 5: Uploads processed images to Shopify assets and updates image links in the spreadsheet
• Step 6: Prepares the final CSV file formatted for direct Shopify product import

Use Cases

• E-commerce store owners bulk uploading inventory with image-based product discovery and automatic description generation
• Product data managers converting physical product images into structured digital product catalogs with minimal manual effort
• Dropshipping businesses automating supplier product image processing and catalog creation at scale
• Retail companies standardizing product information across multiple locations by analyzing product images uniformly
• Marketing teams generating consistent product metadata and SEO-optimized descriptions from visual product assets

Nodes Used

• Manual Trigger: Initiates manual workflow execution
• Schedule Trigger: Runs workflow on a defined schedule
• Form Trigger: Captures user input through web forms
• HTTP Request: Makes API calls to external services
• Google Drive: Retrieves and manages files from Google Drive
• Google Sheets: Reads and writes data to spreadsheets
• Google Gemini: Analyzes images using Google’s AI model
• GPT-4O: Processes data with OpenAI’s advanced language model
• Agent: Coordinates multi-step AI operations
• Memory Buffer Window: Manages conversation context and history
• Output Parser Autofixing: Corrects and validates AI-generated output automatically
• Output Parser Structured: Formats AI responses into structured data
• LM Chat Google Gemini: Handles conversational interactions with Google’s model
• LM Chat OpenAI: Handles conversational interactions with OpenAI’s model
• Split in Batches: Divides large datasets into manageable chunks
• Sort: Orders data according to specified criteria
• Switch: Routes data based on conditional logic
• Wait: Introduces delays between operations
• Code: Executes custom JavaScript logic
• Set: Assigns values to variables
• No Operation: Placeholder node for workflow organization
• Sticky Note: Adds documentation and comments to workflow

Prerequisites

• Active n8n instance or n8n cloud account
• Google account with access to Google Drive and Google Sheets
• Shopify store with API credentials for product and asset management
• OpenAI API key for GPT-4O access
• Google Cloud Project with Gemini API enabled
• Product images stored or accessible through Google Drive
• Pre-configured Google Sheet template for product data storage
• Basic understanding of API authentication and workflow configuration

Difficulty Level

Advanced. This workflow requires familiarity with multiple API integrations, AI model configuration, data transformation, and conditional logic. Users should have experience with n8n, Google Workspace APIs, and Shopify integration. Knowledge of JSON data structures and CSV formatting is recommended for customization and troubleshooting.

This workflow template is shared under the n8n fair-code license. Free to use and modify.

What This Workflow Does

This n8n workflow automates the process of uploading image files to Postimages.org without manual intervention. Instead of uploading screenshots or images one by one through a web browser, this automation handles the entire upload process and validates that your image was successfully posted to the hosting platform.

How It Works

The workflow uses a manual trigger to start the process, then leverages the Airtop node to interact with Postimages.org and upload your selected image file. A wait node allows time for the upload to complete, while a sticky note serves as documentation within the workflow. Once uploaded, the system validates the image preview to confirm successful posting.

Use Cases

• Automatically backup and host screenshots in a centralized location without manual uploads
• Streamline content creation workflows by hosting images used in blog posts and articles
• Create a reliable image hosting solution for team documentation and knowledge bases
• Batch process multiple images for archival purposes with validation confirmation
• Reduce time spent on repetitive image upload tasks for digital marketers and content creators

Nodes Used

• Manual Trigger: Starts the workflow when you initiate it manually
• Airtop: Interacts with Postimages.org to upload and manage image files
• Sticky Note: Provides workflow documentation and usage instructions
• Wait: Pauses execution to allow the upload process to complete

Prerequisites

• An active n8n instance or account
• Access to Postimages.org or similar image hosting platform
• Image files ready to upload (PNG, JPG, GIF, etc.)
• Airtop credentials configured in n8n

Difficulty Level

Beginner. This workflow is designed for users new to n8n automation. It uses straightforward nodes with minimal configuration, making it an excellent starting point for learning workflow automation basics.

This workflow template is shared under the n8n fair-code license. Free to use and modify.

What This Workflow Does

This workflow automates the creation of sleep meditation content by combining artificial intelligence with text-to-speech technology. It generates unique meditation scripts using DeepSeek AI, processes them through multiple validation layers, and converts them into professional audio files using ElevenLabs V3. The entire process is streamlined to produce high-quality, ready-to-publish meditation content automatically.

How It Works

The workflow begins when a webhook receives a trigger to start content creation. DeepSeek AI generates initial meditation scripts based on your parameters. The output then passes through several processing stages including duplicate removal, structured parsing, and classification to ensure quality. Brave Search integration allows the system to research current meditation trends and best practices. Finally, ElevenLabs converts the approved text into natural-sounding audio files, which are automatically saved to Google Drive for easy access and distribution.

Use Cases

• Create a library of unique sleep meditation audio content for podcast platforms or streaming services
• Generate personalized meditation scripts for wellness apps with different themes and durations
• Produce daily meditation content for meditation subscription services without manual writing
• Develop multilingual meditation content by generating scripts in different languages and converting them to audio
• Build a content calendar of meditation episodes for YouTube or audio platforms with consistent quality

Nodes Used

• DeepSeek LM Chat: Generates original meditation scripts and content ideas
• ElevenLabs: Converts text scripts into professional-quality audio files
• Brave Search: Researches meditation trends and best practices
• Split Out: Divides content into manageable segments for processing
• Aggregate: Combines processed segments back into complete content
• Remove Duplicates: Eliminates redundant content from the generated scripts
• Output Parser Structured: Formats AI output into consistent JSON structures
• Output Parser Autofixing: Corrects formatting errors in generated content
• Text Classifier: Categorizes and validates meditation content quality
• Chain LLM: Links multiple AI operations in sequence
• Agent: Orchestrates complex workflow decisions and routing
• Google Drive: Stores and manages generated audio files
• Webhook: Triggers the workflow from external applications
• Code: Handles custom logic and data transformations
• Sticky Note: Provides workflow documentation and instructions

Prerequisites

• Active n8n account with workflow execution capabilities
• DeepSeek API credentials for AI-powered content generation
• ElevenLabs account with API access and sufficient credits for audio generation
• Google Drive account connected to n8n for file storage
• Brave Search API credentials for research capabilities
• Basic understanding of workflow triggers and node configuration
• Webhook URL for external application integration

Difficulty Level

Intermediate. This workflow requires familiarity with n8n node configuration and API integration. Users should understand how to set up API credentials, configure webhook triggers, and manage workflow data flows. No advanced coding is required, but comfort with JSON data structures and basic logic operations is recommended. The template provides a solid foundation that can be customized for specific use cases with moderate configuration effort.

This workflow template is shared under the n8n fair-code license. Free to use and modify.