Category: n8n Workflows

What This Workflow Does

This AI-powered workflow automatically generates and applies SEO-friendly tags to your YouTube videos. Using artificial intelligence, it analyzes video content and metadata to create relevant tags that improve discoverability and search rankings. The workflow runs on a schedule, processes multiple videos, and notifies you of completed tagging operations through Slack and Telegram.

How It Works

The workflow operates through a series of automated steps:

• A scheduled trigger initiates the workflow at predefined intervals
• The YouTube node retrieves your video data and content information
• The OpenAI Chat node analyzes video titles, descriptions, and content to identify optimal tags
• An AI agent processes the generated tags for relevance and SEO quality
• Tags are automatically applied to your YouTube videos
• Slack and Telegram nodes send notifications confirming completed operations
• The Set node stores workflow data for tracking and logging purposes

Use Cases

• Content creators managing multiple YouTube channels who need consistent, data-driven tagging across all videos
• YouTube channel managers automating SEO optimization to improve video visibility in search results
• Marketing agencies applying bulk tagging strategies to client YouTube channels efficiently
• Video producers ensuring new uploads are immediately tagged with relevant keywords without manual effort
• E-commerce businesses optimizing product demo videos with tags that drive organic traffic and conversions

Nodes Used

• Schedule Trigger: Initiates the workflow on a recurring schedule
• YouTube Node: Retrieves video data and applies tags to videos
• OpenAI Chat Node: Generates AI-powered tag suggestions based on video content
• Agent Node: Processes and validates tags for quality and SEO relevance
• Slack Node: Sends workflow notifications to your Slack workspace
• Telegram Node: Sends workflow notifications via Telegram messaging
• Set Node: Structures and stores workflow data for logging
• Sticky Note Node: Provides workflow documentation and instructions

Prerequisites

• Active n8n account and self-hosted or cloud instance
• YouTube Data API enabled with proper credentials and authentication
• OpenAI API key with access to GPT models for tag generation
• Slack workspace and webhook or bot token for notifications (optional)
• Telegram bot token and chat ID for notifications (optional)
• YouTube channel with video content ready for tagging
• Basic understanding of workflow setup and node configuration

Difficulty Level

Intermediate. This workflow requires API authentication for YouTube and OpenAI services, understanding of AI prompt engineering for tag generation, and familiarity with n8n node configuration. While the core setup is straightforward, optimizing the AI prompts for your specific content and customizing notification channels requires technical knowledge and testing.

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

What This Workflow Does

This n8n workflow automates LinkedIn engagement by generating AI-powered comments on posts. Using OpenAI’s language model, it analyzes LinkedIn posts and creates relevant, contextual comments that help boost your professional presence and network engagement automatically.

How It Works

The workflow monitors incoming requests through a chat trigger, processes LinkedIn post data via HTTP requests, and sends the content to OpenAI’s LM Chat model for intelligent comment generation. The AI analyzes the post context and creates meaningful responses. Generated comments can be logged, reviewed, or automatically posted back to LinkedIn, with notifications sent via Telegram for real-time updates.

Use Cases

• Increase LinkedIn visibility by consistently engaging with industry posts in your niche
• Build professional relationships at scale by leaving thoughtful comments on target accounts’ posts
• Save time on manual engagement while maintaining authentic, AI-generated responses
• Monitor your engagement performance and receive instant notifications of successful comment submissions
• Create a content strategy that keeps you active on LinkedIn without daily manual effort

Nodes Used

• HTTP Request – Fetches LinkedIn post data and submits comments
• LM Chat OpenAI – Generates contextual AI comments using GPT models
• Chat Trigger – Initiates workflow based on incoming messages
• Chain LLM – Chains multiple AI operations for complex reasoning
• Agent – Orchestrates workflow decisions and routing
• Telegram – Sends notifications about engagement activities
• Tool Think – Provides AI reasoning capabilities for comment quality
• Sticky Note – Documents workflow logic and important instructions

Prerequisites

• OpenAI API key for accessing GPT language models
• LinkedIn access or API credentials for post monitoring and commenting
• Telegram bot token for notification delivery (optional)
• n8n instance with workflow automation capabilities
• Basic understanding of API authentication and workflow triggers

Difficulty Level

Intermediate. This workflow requires familiarity with API integrations, OpenAI API setup, and n8n’s node configuration. Users should understand how to authenticate external services and customize AI prompts, but the template provides most of the structure needed for implementation.

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 entire Request for Proposal (RFP) process by leveraging OpenAI Assistants. It extracts RFP documents, processes questions through AI analysis, organizes responses in Google Docs, and distributes results via Slack and Gmail notifications. The automation eliminates manual document handling and streamlines proposal evaluation.

How It Works

The workflow begins when an RFP document is submitted through a webhook API endpoint. The document is extracted and parsed into individual items using the output parser. Questions are batched and processed through OpenAI’s language model to generate intelligent responses. A new Google Doc is created automatically to capture and organize all responses. Team members receive instant notifications through Slack and Gmail, ensuring everyone stays informed throughout the RFP evaluation process.

Use Cases

• Enterprise vendors responding to compliance and security RFPs with standardized answers
• Consulting firms accelerating proposal responses to multiple client requests simultaneously
• B2B SaaS companies automating technical specification responses and feature capability documentation
• Government contractors streamlining responses to federal RFP requirements and compliance questions
• Professional services organizations centralizing RFP management and team collaboration workflows

Nodes Used

• Webhook – Triggers the workflow via API request for document submission
• extractFromFile – Extracts content from uploaded RFP documents
• @n8n/outputParserItemList – Parses extracted content into structured items
• splitInBatches – Divides items into manageable batches for processing
• @n8n/lmChatOpenAi – Generates AI-powered responses using OpenAI’s language model
• @n8n/chainLlm – Chains multiple LLM operations for complex reasoning
• @n8n/openAi – Handles advanced OpenAI API interactions
• googleDocs – Creates and updates documents with RFP responses
• Slack – Sends real-time notifications to team channels
• Gmail – Distributes response summaries via email
• Set – Configures variables and data transformations
• Sticky Note – Adds documentation and workflow notes

Prerequisites

• Active n8n instance or n8n Cloud account
• OpenAI API key with GPT-4 or GPT-3.5 access
• Google Cloud project with Google Docs API enabled
• Google Workspace account for document creation
• Slack workspace with bot permissions for messaging
• Gmail account configured for SMTP access
• RFP documents in supported file formats (PDF, DOCX, TXT)

Difficulty Level

Advanced – This workflow requires understanding of API webhooks, LLM prompt engineering, multi-step document processing, and integration with external services. Users should be comfortable configuring authentication credentials, mapping data between nodes, and customizing AI prompts for RFP-specific responses.

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 extracting UTM parameters from Shopify orders and storing them in Baserow. It uses the Shopify GraphQL API to retrieve order data and intelligently routes that information to a Baserow database for analysis and tracking.

How It Works

The workflow operates on a scheduled trigger that periodically queries your Shopify store using GraphQL. It fetches order information including UTM tracking parameters, processes the data through conditional logic, and then saves the structured information to your Baserow workspace. The workflow uses a split output node to handle multiple orders and conditional statements to ensure only relevant data is stored.

Use Cases

• Track which marketing campaigns drive the most valuable orders by analyzing UTM parameters alongside order data
• Create a centralized database of customer acquisition sources for better attribution reporting
• Monitor the effectiveness of different traffic sources and marketing channels over time
• Analyze conversion patterns by comparing UTM data with customer purchase behavior
• Generate automated reports showing ROI for different marketing campaigns and traffic sources

Nodes Used

• Schedule Trigger: Initiates the workflow at regular intervals
• GraphQL: Queries the Shopify Admin API to retrieve order and UTM parameter data
• Set: Defines and transforms data for processing
• If: Creates conditional logic to filter and route orders based on specific criteria
• Split Out: Separates multiple orders into individual items for processing
• Baserow: Stores the processed order and UTM data in your Baserow database
• No Operation: Placeholder node for workflow logic
• Sticky Note: Provides documentation and notes within the workflow

Prerequisites

• Active Shopify store with API access enabled
• Shopify Admin API credentials and access token
• Baserow account with an existing database and table
• Baserow API key for authentication
• Understanding of GraphQL query syntax for the Shopify Admin API
• Orders in your Shopify store that contain UTM parameters

Difficulty Level

Intermediate. This workflow requires knowledge of the Shopify GraphQL API, Baserow database structure, and n8n node configuration. Familiarity with UTM parameters and marketing analytics concepts is helpful. Users should be comfortable modifying GraphQL queries and mapping data fields between systems.

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

What This Workflow Does

This n8n workflow automates customer support by detecting common issues in Zendesk tickets and generating intelligent auto-replies using Azure OpenAI. It streamlines repetitive support tasks, reduces response times, and maintains a log of all interactions in Google Sheets for tracking and analysis.

How It Works

The workflow begins with a manual trigger to start the process. It retrieves incoming tickets from Zendesk and analyzes their content using Azure OpenAI’s language model to identify common support issues. Based on the analysis, the system generates appropriate auto-replies for frequently asked questions and routine issues. Responses are logged in Google Sheets for record-keeping, and relevant replies are sent via Gmail to notify customers. A merge node combines data from multiple sources to ensure complete context before sending communications.

Use Cases

• Automatically respond to password reset requests with step-by-step instructions within minutes of ticket submission
• Generate instant replies to billing and account status inquiries with relevant account information from your database
• Handle frequently asked questions about product features or troubleshooting with consistent, professional responses
• Create support ticket summaries and route issues to appropriate departments based on content analysis
• Reduce support team workload by handling 40-60% of routine issues without manual intervention

Nodes Used

• Manual Trigger – Initiates the workflow execution
• Zendesk – Retrieves customer support tickets and issues
• Azure OpenAI LM Chat – Analyzes ticket content and generates intelligent responses
• Code – Processes and transforms data between workflow steps
• Google Sheets – Logs all ticket interactions for audit trails and analytics
• Merge – Combines data from multiple nodes for comprehensive context
• Chain LLM – Chains multiple AI operations for complex reasoning
• Gmail – Sends auto-reply emails to customers
• Sticky Note – Provides workflow documentation and notes

Prerequisites

• Active Zendesk account with API access credentials configured in n8n
• Azure OpenAI API key and deployment endpoint from your Azure account
• Gmail account with n8n OAuth authentication set up
• Google Sheets document created for logging ticket interactions
• Appropriate permissions in Zendesk to read tickets and create comments
• Basic understanding of n8n workflow structure and node configuration

Difficulty Level

Intermediate. This workflow requires configuration of multiple third-party integrations (Zendesk, Azure OpenAI, Gmail, and Google Sheets) and basic understanding of how to map data between nodes. Users should be familiar with API authentication and have access to manage credentials in n8n. The code node may require minor adjustments depending on your specific data structure and requirements.

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

What This Workflow Does

This automation streamlines weekly timesheet management by automatically fetching employee timesheet data from Salesforce, identifying submission status, and generating AI-powered summaries of work activities and hours logged. The workflow creates two distinct reports: one for employees who have submitted their timesheets with detailed work summaries, and another highlighting pending submissions for follow-up.

How It Works

The workflow operates on a scheduled weekly basis using the following process:

• A schedule trigger initiates the workflow at your specified weekly time
• Salesforce is queried to retrieve all employee timesheet records and submission statuses
• The code node filters and separates submitted versus pending timesheet data
• Submitted timesheets are processed in batches to optimize API usage
• The OpenAI node generates concise, readable summaries of work activities and hours for each submitted timesheet
• A merge node combines the processed data into structured reports
• Conditional logic determines routing for submitted versus pending submissions
• Gmail sends formatted reports to relevant stakeholders with clear sections for submitted timesheets and pending follow-ups

Use Cases

• Weekly Manager Reporting: Automatically send managers a consolidated view of their team’s timesheet submissions and outstanding items every Monday morning
• Compliance and Audit Tracking: Maintain a systematic record of timesheet submission patterns to meet labor compliance and auditing requirements
• Resource Planning: Identify timesheet submission delays early to ensure accurate project billing and resource allocation data
• Employee Accountability: Generate automated reminders for pending submissions while recognizing teams with complete, on-time submissions
• Financial Reconciliation: Feed summarized timesheet data into accounting workflows for invoice generation and payroll processing

Nodes Used

• Schedule Trigger: Initiates the workflow on a recurring weekly schedule
• Salesforce: Queries and retrieves employee timesheet records and submission metadata
• Code Node: Filters, transforms, and categorizes timesheet data by submission status
• Split In Batches: Divides data into manageable batches for efficient processing
• OpenAI: Generates natural language summaries of work activities and hours from timesheet line items
• Merge Node: Combines processed data from multiple branches into unified report structures
• If Node: Routes workflow based on submission status and conditional logic
• Gmail: Sends formatted email reports with submitted timesheets and pending notifications
• Sticky Note: Provides inline documentation and workflow notes for team reference

Prerequisites

• Active Salesforce account with Employee object and Timesheet custom object configured
• Appropriate Salesforce API permissions and security token for connection authentication
• Gmail account with SMTP access enabled for outbound email delivery
• OpenAI API key and active account with sufficient credit for weekly summarization requests
• n8n instance with access to all required node types (Salesforce, Gmail, OpenAI)
• Understanding of your Salesforce timesheet object structure and field names
• Defined recipient email addresses for weekly report distribution

Difficulty Level

Intermediate to Advanced: This workflow requires familiarity with Salesforce object queries, basic JavaScript for data transformation in the code node, and understanding of API authentication. Users should be comfortable mapping Salesforce fields to workflow variables and configuring conditional logic. However, the template structure handles most complexity, making it suitable for n8n users with 2-3 months of experience.

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 backup of your n8n workflows and credentials to Amazon S3 storage. It includes intelligent retention management to automatically delete backups older than a specified period, helping you maintain organized cloud storage while protecting your automation configurations.

How It Works

The workflow operates on a scheduled trigger to run backups at regular intervals. Here is the step-by-step process:

• A schedule trigger initiates the backup process at configured time intervals
• The workflow exports all n8n workflows and credentials using the n8n node
• Data is formatted and prepared using set and filter nodes to organize the backup content
• Files are written to local storage temporarily using the readWriteFile node
• The formatted backup files are uploaded to your designated S3 bucket using the S3 node
• An executeCommand node runs cleanup operations to manage retention policies
• Old backups exceeding the retention period (default 31 days) are automatically deleted from S3

Use Cases

• Disaster Recovery: Maintain regular backups of all workflows to restore operations quickly after data loss or system failures
• Compliance and Auditing: Store timestamped backups for regulatory requirements and audit trail documentation
• Development and Testing: Create backup snapshots before major workflow modifications to enable safe rollback
• Multi-Environment Management: Replicate workflow configurations across different n8n instances by restoring from S3 backups
• Cost Optimization: Automatically remove outdated backups to control S3 storage costs while maintaining recent backup history

Nodes Used

• Schedule Trigger: Initiates the backup process at specified time intervals
• N8N Node: Exports workflows and credentials from your n8n instance
• Set Node: Defines and structures backup data and metadata
• Filter Node: Selectively processes backup content based on specified conditions
• Read Write File Node: Manages temporary file operations during the backup process
• S3 Node: Uploads backup files to Amazon S3 and manages backup objects
• Execute Command Node: Runs system commands for retention policy enforcement and cleanup
• Sticky Note Node: Provides documentation and configuration reminders within the workflow

Prerequisites

• Active n8n instance with API access enabled
• AWS account with S3 bucket created and accessible
• AWS Access Key ID and Secret Access Key for programmatic S3 access
• N8N API credentials with permissions to export workflows and credentials
• Sufficient S3 storage quota for your backup retention period and workflow size
• Network connectivity from n8n to AWS S3 endpoints

Difficulty Level

Intermediate. This workflow requires configuration of AWS credentials, n8n API authentication, and S3 bucket parameters. Users should have basic familiarity with n8n, AWS services, and backup management concepts. The workflow template handles most automation logic, but initial setup requires careful credential configuration and retention policy customization.

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

What This Workflow Does

This automation workflow scans GitHub for trending repositories every Monday and transforms them into comprehensive tutorial content. The system leverages Google Gemini AI to generate step-by-step guides complete with code examples, then automatically publishes these tutorials as draft posts to your WordPress site while sending you email notifications.

How It Works

The workflow operates on a scheduled weekly trigger every Monday. Here is the process flow:

• Schedule trigger initiates the automation at your specified time
• HTTP request fetches trending GitHub repositories based on current tech trends
• Agent node analyzes and evaluates the trending projects for relevance
• Google Gemini AI generates comprehensive tutorial content with code examples and explanations
• WordPress node creates draft posts with the AI-generated tutorial content
• Email notification is sent to alert you about the newly created tutorial
• Split output node distributes the workflow results for logging and tracking

Use Cases

• Tech bloggers who want to maintain consistent weekly tutorial content without manual research
• Developer communities building educational content libraries around emerging technologies
• Online course creators needing supplementary tutorial materials based on current industry trends
• News aggregation sites covering technology and software development topics
• Educational platforms automating the creation of coding tutorial drafts for instructor review

Nodes Used

• Sticky Note: Workflow documentation and notes
• Schedule Trigger: Sets weekly Monday execution schedule
• HTTP Request: Fetches GitHub trending repositories data
• Agent Node: Analyzes and evaluates trending repositories
• Google Gemini LM Chat: Generates tutorial content using AI
• WordPress Node: Creates and publishes draft posts
• Email Send: Sends notification emails about new tutorials
• Split Out: Distributes workflow data to multiple paths
• Code Node: Custom logic for data transformation if needed

Prerequisites

• Active WordPress installation with API access enabled
• WordPress authentication credentials configured in n8n
• Email service credentials set up for sending notifications
• Google Gemini API key for AI content generation
• GitHub API access (optional but recommended for reliable trending data)
• n8n instance with workflow execution permissions

Difficulty Level

Intermediate. This workflow requires basic setup of multiple external service credentials and understanding of n8n node configuration. No coding knowledge is necessary, but familiarity with WordPress, email services, and API authentication is helpful.

Credits

Original workflow created by David Olusola. This automation demonstrates practical implementation of AI-powered content generation with WordPress integration for scaling tutorial production.

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 collection and organization of US trademark reports by connecting directly to the USPTO API and exporting the data to Google Drive as CSV files. It runs on a scheduled basis every week, eliminating the need for manual data gathering and file creation.

How It Works

The workflow follows these steps:

• A scheduled trigger initiates the workflow at your specified time each week
• The HTTP request node connects to the USPTO API to retrieve current trademark data
• A date/time node generates timestamps for organizing the reports
• Custom code processes and transforms the trademark data into the desired format
• A set node structures the data for export
• The convertToFile node converts the processed data into a CSV file format
• The Google Drive node automatically uploads the CSV file to your specified folder

Use Cases

• Intellectual Property Management: Legal teams can automatically track new trademark filings and monitor competitor trademark activity without manual USPTO searches
• Business Intelligence: Companies can maintain an organized historical record of trademark trends and filing patterns for strategic planning
• Compliance Tracking: Organizations can ensure they stay updated on trademark registrations and maintain proper documentation for regulatory purposes
• Market Research: Analysts can gather competitive intelligence by automatically collecting trademark data for their industry sector
• Audit and Reporting: Businesses can generate automated weekly reports for stakeholders without allocating staff resources to manual data collection

Nodes Used

• Schedule Trigger: Sets up the weekly automation schedule
• HTTP Request: Connects to and retrieves data from the USPTO API
• DateTime: Generates and formats timestamps for file organization
• Code: Processes and transforms the trademark data
• Set: Structures the data for the next workflow steps
• Convert to File: Converts the data into CSV file format
• Google Drive: Uploads the CSV file to your Google Drive account

Prerequisites

• An active n8n instance or n8n Cloud account
• Access to the USPTO API with appropriate credentials
• A Google account with Google Drive access
• Google Drive API credentials configured in n8n
• A designated Google Drive folder where reports will be stored
• Basic understanding of n8n workflow configuration

Difficulty Level

Intermediate. This workflow requires basic familiarity with n8n, the ability to configure API connections, and setup of Google Drive authentication. Some users may need to customize the code node depending on their specific data requirements.

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 entire booking experience for service-based businesses by combining AI-powered conversations with WhatsApp, intelligent appointment scheduling, and automated SMS reminders. The system qualifies potential customers through natural conversation, books appointments automatically into Google Sheets, and sends timely SMS reminders 24 hours before the scheduled appointment.

How It Works

The workflow operates in three main stages:

• Step 1 – Qualify User and Suggest Appointment: A webhook receives WhatsApp messages which are processed by an AI agent powered by OpenAI. The agent qualifies the user’s intent, extracts relevant information, and suggests appropriate appointment times based on availability.
• Step 2 – Book Appointment Automatically: Once the user confirms, the workflow automatically creates a booking record in Google Sheets, storing all relevant details including customer information, preferred time, and service type.
• Step 3 – Send SMS Reminder: A scheduled trigger checks for upcoming appointments and automatically sends SMS reminders via SMS77 to customers 24 hours before their booked time slot.

Use Cases

• Beauty and Wellness Salons: Automate booking consultations and send appointment reminders to reduce no-shows and cancellations.
• Medical and Dental Practices: Streamline patient appointments through WhatsApp conversations with intelligent scheduling and reminder notifications.
• Fitness and Personal Training: Book training sessions and classes automatically while maintaining engagement through timely reminders.
• Consulting Services: Qualify leads through conversation, schedule discovery calls, and ensure clients don’t miss important meetings.
• Hospitality and Restaurants: Automate table reservations and send SMS confirmations and reminders to reduce no-shows.

Nodes Used

• Webhook: Receives incoming WhatsApp messages as triggers for the workflow
• Switch: Routes messages based on conditions to determine the appropriate next action
• OpenAI LM Chat: Powers the conversational AI for understanding user intent and generating responses
• Agent: Orchestrates AI-driven decision making throughout the conversation flow
• Memory Buffer Window: Maintains conversation context across multiple message exchanges
• Google Sheets Tool: Reads and writes appointment data to spreadsheets
• Google Sheets: Stores booking records and appointment details
• HTTP Request: Makes API calls to external services and retrieves data
• Tool HTTP Request: Enables the agent to make web requests dynamically
• Schedule Trigger: Runs the reminder workflow at scheduled intervals
• SMS77: Sends SMS reminder messages to customers
• Respond to Webhook: Sends WhatsApp responses back to users
• Code: Custom JavaScript logic for data processing and transformation
• Sticky Note: Provides documentation and workflow annotations

Prerequisites

• Active n8n instance (self-hosted or n8n Cloud)
• WhatsApp Business Account with webhook integration configured
• OpenAI API key for the ChatGPT integration
• Google Sheets account with access to create and modify spreadsheets
• SMS77 account with valid API credentials
• Basic understanding of n8n workflows and node configuration
• Webhook URL accessible from the internet for receiving WhatsApp messages

Difficulty Level

Advanced: This workflow combines multiple integrations including AI agents, spreadsheet automation, and SMS services. It requires configuration of external APIs, understanding of conversational design, and familiarity with n8n’s agent nodes. Users should have experience with webhook setup, JSON data handling, and API authentication before implementing this template.

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