Category: n8n Workflows

What This Workflow Does

The Airtop Web Agent workflow automates web interactions and data processing using an intelligent agent system. It simplifies session management for autonomous agents that can browse the web, extract information, and perform tasks based on natural language instructions. This sub-workflow handles the core agent logic while managing sessions efficiently.

How It Works

The workflow operates through a multi-step process:

• A form trigger or workflow execution initiates the agent
• The Anthropic language model processes user requests and determines necessary actions
• The Airtop tool enables web browsing and data extraction capabilities
• The agent evaluates responses and decides on next steps
• Results are structured using an output parser for consistent formatting
• Notifications are sent to Slack with a live view URL for monitoring
• Session data is managed automatically for efficient resource usage

Use Cases

• Automated Web Research: Gather competitive intelligence, market data, or industry trends by instructing the agent to browse and extract information from multiple websites
• Lead Generation: Autonomously search for and collect contact information, business details, and qualification data from web sources
• Price Monitoring: Track product prices across e-commerce platforms and competitors in real-time with automated web scraping
• Content Curation: Search the web for relevant articles, news, and resources based on topics and automatically compile summaries
• Data Extraction: Pull structured information from websites, forms, and online directories without manual intervention

Nodes Used

• Agent Node: Orchestrates the workflow logic and decision-making process
• Airtop Tool: Provides web browsing and interaction capabilities for the agent
• LM Chat Anthropic: Connects to Claude language model for AI-powered reasoning
• Form Trigger: Accepts user input to initiate the workflow
• Tool Workflow: Executes nested workflows as tools for the agent
• Execute Workflow Trigger: Enables workflow execution from other workflows
• Output Parser Structured: Formats agent responses into consistent JSON structures
• Slack Node: Sends notifications and live view URLs to Slack channels
• Set Node: Manages variables and data throughout the workflow
• Sticky Note: Provides documentation and guidance within the workflow

Prerequisites

• Active n8n instance with access to workflow builder
• Airtop API credentials for web browsing capabilities
• Anthropic API key for Claude language model access
• Slack workspace with bot permissions to send messages
• Basic understanding of n8n workflow structure and node configuration
• Optional: Form or webhook endpoint for triggering the workflow

Difficulty Level

Advanced. This workflow requires familiarity with AI agents, API integrations, and n8n’s advanced node types. It is best suited for users experienced with automation who understand prompt engineering and want to leverage autonomous agents for complex web interactions.

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

What This Workflow Does

This n8n template automates intelligent web research by combining GPT-4, Claude, and Apify to find, analyze, and extract valuable insights from authoritative sources. It answers business questions with credible, up-to-date information automatically sourced from the web.

How It Works

The workflow uses a multi-stage intelligent system to conduct comprehensive web research:

• Receives research requests through manual or automated triggers
• Uses Apify to crawl and collect web data from authoritative sources
• Processes collected data through structured parsing and analysis
• Leverages GPT-4 and Claude AI agents for intelligent insight extraction
• Stores analyzed content in vector databases for semantic search capabilities
• Applies embedding technology to understand context and relationships
• Returns structured, actionable insights based on your research query

Use Cases

• Market Research: Automatically analyze competitor websites, pricing strategies, and market positioning across multiple sources
• Competitive Analysis: Monitor competitor activities, product updates, and strategic moves in real-time
• Regulatory Compliance: Gather and analyze compliance requirements, legal updates, and industry regulations
• Industry Insights: Research trends, emerging technologies, and market developments within your sector
• Content Research: Find credible sources, statistics, and expert opinions for content creation and validation

Nodes Used

• httpRequest – Fetch data from web sources
• manualTrigger – Start workflow manually
• executeWorkflowTrigger – Trigger from other workflows
• set – Configure workflow variables
• @n8n/outputParserStructured – Parse and structure AI responses
• @n8n/agent – Coordinate intelligent AI agents
• code – Custom JavaScript processing
• @n8n/vectorStoreQdrant – Store and retrieve vector embeddings
• @n8n/embeddingsOllama – Generate semantic embeddings
• @n8n/textSplitterCharacterTextSplitter – Break content into analyzable chunks
• @n8n/documentDefaultDataLoader – Load and prepare documents
• @n8n/lmChatOpenAi – GPT-4 integration for analysis
• @n8n/lmChatAnthropic – Claude integration for analysis
• if – Conditional logic for workflow branching
• merge – Combine results from multiple sources
• stickyNote – Workflow documentation and notes

Prerequisites

• Active n8n instance (self-hosted or n8n Cloud)
• OpenAI API key for GPT-4 access
• Anthropic API key for Claude access
• Apify API key for web scraping capabilities
• Qdrant vector database setup or access
• Basic understanding of workflow automation concepts
• Knowledge of web APIs and data structures

Difficulty Level

Intermediate to Advanced. This template requires understanding of multiple AI services, vector databases, and data processing concepts. Suitable for users with some automation experience who want to implement sophisticated research capabilities.

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 complete webinar registration process by connecting KlickTipp landing pages with Zoom. When users submit their information through a KlickTipp form, the workflow automatically registers them for a Zoom webinar and stores their registration details in their KlickTipp contact record.

How It Works

The workflow uses webhook technology to capture form submissions from KlickTipp landing pages. Once data is received, it intelligently routes the submission based on predefined conditions. The system then registers the user for the specified Zoom webinar and updates their contact information in KlickTipp with the webinar data. This eliminates manual data entry and ensures all registrations are synchronized between platforms.

Use Cases

• Automatically register leads from KlickTipp landing pages to scheduled Zoom webinars without manual intervention
• Streamline B2B sales processes by capturing prospect information and instantly confirming webinar attendance
• Scale educational institutions by automating student registration for multiple online training sessions
• Improve marketing campaign efficiency by syncing webinar attendee data back to email marketing automation
• Create seamless onboarding experiences where new users are registered for product demo webinars upon signup

Nodes Used

• KlickTipp Trigger – Initiates workflow when form submissions are received
• Switch – Routes data based on specific conditions and form field values
• Sticky Note – Provides documentation and workflow organization notes
• KlickTipp Custom Node – Manages contact records and updates customer data
• HTTP Request – Makes API calls to Zoom for webinar registration

Prerequisites

• Active KlickTipp account with landing page setup capability
• Zoom account with webinar creation and API access enabled
• n8n account with workflow execution permissions
• API credentials for both KlickTipp and Zoom platforms
• Configured webhook endpoint to receive KlickTipp form submissions
• Basic understanding of JSON data structures and workflow logic

Difficulty Level

Intermediate. This workflow requires knowledge of webhook configuration, API integration, and conditional logic. While the template provides a foundation, users should be comfortable mapping data fields between systems and troubleshooting API connections. No advanced coding is required, but familiarity with both KlickTipp and Zoom platforms is recommended.

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

What This Workflow Does

This automated workflow monitors multiple websites at scheduled intervals and performs comprehensive AI-powered analysis using advanced tools and language models. It evaluates website performance, security status, SSL certificates, and response times, then logs all findings to Google Sheets and sends alerts via Slack or email based on severity levels.

How It Works

The workflow operates through the following process:

• A schedule trigger initiates the workflow at defined intervals
• Website URLs are retrieved from a Google Sheets configuration file
• Each URL is processed through AI analysis using OpenAI’s language model
• MCP tools gather technical data about performance, security, and SSL status
• A switch node routes findings based on severity levels (critical, warning, info)
• Critical and warning alerts are sent to Slack for immediate notification
• All monitoring results are logged to the Google Sheets “Monitoring Log”
• High-severity issues trigger email notifications to designated recipients

Use Cases

• E-commerce businesses monitoring uptime and performance across multiple storefronts to ensure customer accessibility
• Digital agencies tracking client website health and generating automated performance reports
• Security teams identifying SSL certificate issues and vulnerabilities before they impact users
• IT departments managing server response times and detecting performance degradation trends
• SaaS companies maintaining service quality by monitoring integrated third-party platform availability

Nodes Used

• Schedule Trigger – Initiates workflow at specified time intervals
• Google Sheets – Reads website URLs and writes monitoring results
• Set – Configures workflow variables and data structure
• Merge – Combines data from multiple sources
• Switch – Routes data based on severity conditions
• Split In Batches – Processes multiple websites efficiently
• AI Agent (@n8n/agent) – Orchestrates AI-powered analysis decisions
• MCP Client Tool (@n8n/mcpClientTool) – Executes system-level monitoring commands
• LM Chat OpenAI (@n8n/lmChatOpenAi) – Performs natural language analysis and reasoning
• Slack – Sends real-time alerts for critical issues
• Email Send – Delivers detailed reports and notifications
• If – Conditional logic for alert routing
• Sticky Note – Documentation and workflow notes

Prerequisites

• n8n instance with access to workflow builder
• Google Sheets account with properly configured sheets containing website URLs
• OpenAI API key for language model integration
• Slack workspace with incoming webhook or bot integration enabled
• Email service credentials (SMTP or email service provider)
• MCP tools properly installed and configured for system monitoring
• Appropriate network access to monitor target websites
• Google Sheets API credentials for read/write permissions

Difficulty Level

Advanced – This workflow requires knowledge of AI integration, API configuration, conditional logic, and multiple third-party service connections. Users should be comfortable working with Google Sheets APIs, OpenAI integration, and managing authentication credentials across multiple platforms. Experience with n8n’s agent and MCP tools 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 video generation using Luma AI’s Dream Machine technology. It captures manual triggers, processes API requests to generate AI-powered videos, and stores the results in Airtable for easy management and tracking. The workflow is designed to be simple yet powerful, making it accessible for users who want to create dynamic video content without complex setup.

How It Works

The workflow follows a straightforward process that begins when you manually trigger the execution. Here’s the step-by-step flow:

• Manual trigger initiates the workflow when you’re ready to generate a video
• HTTP request sends your parameters to the Luma AI Dream Machine API
• Code node processes and transforms the API response for better data handling
• Set node prepares the data structure for storage and retrieval
• Airtable node saves the generated video information and metadata to your Airtable base
• Execution data is logged for monitoring and troubleshooting purposes

Use Cases

• Content creators generating marketing videos programmatically from text descriptions
• Social media managers automating video creation for multiple platforms and campaigns
• E-commerce businesses creating product demonstration videos at scale
• Educational institutions automating instructional video generation for course content
• Advertising agencies rapidly producing concept videos for client presentations

Nodes Used

• Manual Trigger: Allows you to start the workflow on demand with custom input parameters
• HTTP Request: Communicates with the Luma AI Dream Machine API to request video generation
• Code: Executes custom JavaScript logic to transform and validate API responses
• Sticky Note: Provides documentation and helpful reminders within the workflow editor
• Set: Defines and organizes data fields before sending information to Airtable
• Airtable: Stores generated video data, metadata, and tracking information in a structured database
• Execution Data: Captures workflow logs and execution history for analysis and debugging

Prerequisites

• Active n8n account with workflow creation capabilities
• Luma AI API access and valid authentication credentials
• Airtable account with a base and table prepared for video data storage
• Basic understanding of API authentication and HTTP requests
• Knowledge of your Luma AI API endpoints and required parameters
• Text descriptions or prompts ready for video generation

Difficulty Level

Beginner to Intermediate. This workflow is designed to be straightforward and doesn’t require advanced coding knowledge. Users should be comfortable with basic API concepts and have their API credentials prepared. The modular node structure makes it easy to understand each step and customize parameters as needed.

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 analyzing web page performance using Google PageSpeed Insights. It measures loading speed, performance metrics, and accessibility scores for single URLs or compares performance data between multiple URLs. The workflow can send results directly to Discord for team notifications and uses AI-powered analysis to provide insights.

How It Works

The workflow operates on a scheduled trigger that automatically runs at set intervals. When activated, it accepts a URL (or comparison commands) and sends it to Google PageSpeed Insights API for analysis. The system processes the performance data through a code node, evaluates results using conditional logic, and generates AI-enhanced insights using Google Gemini. Results are formatted and delivered to Discord channels for team visibility and discussion.

Use Cases

• Monitor website performance metrics daily across production environments to identify performance regressions early
• Compare performance differences between two website versions or staging versus live environments
• Track loading speed improvements after implementing optimization changes and document progress
• Automated reporting for development teams with scheduled PageSpeed analysis sent to dedicated Discord channels
• Competitive analysis by regularly monitoring and comparing your site’s performance against competitor websites

Nodes Used

• Schedule Trigger: Sets the frequency for automatic workflow execution
• Google PageSpeed Node: Connects to Google PageSpeed Insights API to fetch performance data
• Switch Node: Routes workflow logic based on input type (single URL versus comparison command)
• Code Node: Processes and transforms performance data into readable formats
• Google Gemini LM Chat: Generates AI-powered insights and analysis of performance results
• Chain LM Node: Orchestrates complex interactions between language model operations
• Discord Node: Sends formatted performance reports and notifications to Discord channels
• Sticky Note: Provides inline documentation and usage guidelines

Prerequisites

• Google PageSpeed Insights API key obtained from the Google Developers Console
• Active Google Cloud project with PageSpeed Insights API enabled
• Discord server and channel where performance reports will be sent
• Discord bot token with permissions to send messages
• Google Gemini API access for AI-powered analysis features
• Valid URLs starting with HTTP or HTTPS protocol for analysis

Difficulty Level

Intermediate. This workflow requires basic knowledge of API integration, Google Cloud setup, and Discord bot configuration. Users should be comfortable connecting external services and understanding JSON data transformation. No advanced coding is required, but familiarity with conditional logic and API authentication is recommended.

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

What This Workflow Does

This n8n workflow processes webhook responses from Luma AI and integrates the data with Airtable. It captures incoming webhook data, processes it through conditional logic, and stores the results in your Airtable database for further analysis and management.

How It Works

The workflow follows a systematic process to handle Luma AI webhook responses:

• Webhook node receives incoming data from Luma AI
• Set node transforms and prepares the data for processing
• Execution data node captures metadata about the workflow execution
• If node applies conditional logic to route data based on specific criteria
• Airtable node writes the processed information to your designated Airtable base

The workflow includes sticky notes for documentation purposes, making it easy to understand the configuration requirements and ensure proper setup across your automation systems.

Use Cases

• Store AI-generated video metadata from Luma AI directly into Airtable for project tracking
• Automate the capture of video generation status updates and completion notifications
• Route different types of Luma AI responses to specific Airtable tables based on content type or parameters
• Create an audit trail of all Luma AI webhook events for compliance and analysis purposes
• Trigger downstream automations based on successful video generation or processing outcomes

Nodes Used

• Webhook: Receives incoming HTTP requests from Luma AI service
• Set: Transforms and maps data fields to match your requirements
• Execution Data: Captures workflow execution metadata and timestamps
• If: Applies conditional branching based on data content or values
• Sticky Note: Provides inline documentation and configuration reminders
• Airtable: Writes processed data to your Airtable database

Prerequisites

• Active n8n instance or n8n Cloud account
• Luma AI account with API access and webhook capabilities
• Airtable account with at least one base and table configured
• n8n credentials configured for Airtable API authentication
• Webhook URL from this workflow to register with Luma AI
• Understanding of your Airtable table structure and field mappings

Difficulty Level

Intermediate. This workflow requires basic knowledge of webhooks and API integrations. You should be comfortable configuring Airtable connections and understanding conditional logic flows. The sticky notes provide helpful guidance for setup, making it accessible for users with automation 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 assessment of tools and websites by integrating Telegram, artificial intelligence, and web scraping capabilities. Users send a website URL via Telegram, and the workflow automatically analyzes the tool, extracts relevant information, and stores results in Google Sheets for organized tracking and reporting.

How It Works

The workflow follows a multi-step automated process:

• A Telegram message is received through the telegramTrigger node
• The message content is processed to extract any website URLs present
• An AI model via OpenRouter analyzes the extracted URL and tool details
• The HTTP request node fetches website content for deeper analysis
• An AI agent processes the collected data using chain LLM capabilities
• Results are structured and formatted using the output parser
• Analyzed data is automatically saved to Google Sheets
• A confirmation message is sent back to the user via Telegram

Use Cases

• SaaS Tool Comparison: Automatically evaluate and document features of competitor tools and services
• Quality Assurance Testing: Assess website functionality, performance, and user experience through automated analysis
• Content Curation: Collect and analyze resources, tools, and websites for blog posts or industry reports
• Market Research: Gather competitive intelligence on tools and platforms within your industry
• Project Documentation: Build automated assessments of third-party tools your team uses or evaluates

Nodes Used

• telegramTrigger – Listens for incoming Telegram messages and initiates the workflow
• @n8n/lmChatOpenRouter – Accesses AI models through OpenRouter for initial analysis
• telegram – Sends responses and notifications back to the user
• code – Processes and manipulates data between workflow steps
• if – Implements conditional logic to handle different scenarios
• set – Defines and transforms variables throughout the workflow
• httpRequest – Fetches content and data from the submitted URLs
• @n8n/chainLlm – Chains multiple AI operations for comprehensive analysis
• @n8n/agent – Enables AI-powered decision making and multi-step task execution
• googleSheetsTool – Integrates with Google Sheets for data management
• @n8n/outputParserStructured – Formats AI responses into structured, usable data
• googleSheets – Stores final analyzed results in spreadsheets
• stickyNote – Provides workflow documentation and node references

Prerequisites

• Active n8n instance or n8n Cloud account
• Telegram bot token and chat configuration
• OpenRouter API key for accessing AI models
• Google Sheets API credentials and access to a target spreadsheet
• Basic understanding of workflow automation concepts
• Familiarity with JSON data formatting

Difficulty Level

Intermediate to Advanced. This workflow combines multiple complex integrations including AI processing, API communication, and conditional logic. Users should have experience with API authentication, JSON manipulation, and basic workflow troubleshooting. However, the workflow template provides a solid foundation for customization and learning.

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

What This Workflow Does

This workflow automates the process of discovering video files from Google Drive and posting them directly to your Facebook Page. It continuously monitors a specific folder for new MP4 videos, extracts file details, stores metadata in Google Sheets, and then uploads the videos to Facebook with automated scheduling capabilities.

How It Works

The workflow operates through a series of coordinated steps:

• A schedule trigger initiates the workflow at regular intervals
• Google Drive integration searches for new MP4 video files in your designated folder
• File data is processed and formatted through a set node
• Video metadata (name, file ID, and share links) is logged into Google Sheets for record-keeping
• Conditional logic determines which videos are ready for posting
• An HTTP request sends the video to Facebook’s API
• Custom code handles any special formatting or transformations needed

Use Cases

• Social media managers who need to automatically distribute video content across Facebook without manual uploads
• Content creators maintaining a catalog of videos that need scheduled posting on multiple dates
• Marketing teams coordinating video releases across campaigns with centralized Google Drive storage
• Businesses automating daily or weekly video content posting to maintain consistent social media presence
• Educational institutions sharing recorded lectures or training videos to their Facebook community pages

Nodes Used

• Schedule Trigger: Activates the workflow on a defined schedule
• Google Drive: Searches for and retrieves video files from your cloud storage
• Set: Configures and transforms data between nodes
• Google Sheets: Records video metadata for tracking and organization
• If: Creates conditional branches based on video properties
• HTTP Request: Communicates with Facebook’s API to upload videos
• Code: Executes custom JavaScript for advanced data manipulation
• Sticky Note: Provides documentation and workflow guidance

Prerequisites

• Active Facebook Page with administrator access
• Facebook Developer Account with API credentials
• Google Account with access to Google Drive and Google Sheets
• MP4 video files organized in a specific Google Drive folder
• n8n instance with Facebook and Google integrations installed
• Facebook Page Access Token or App credentials configured

Difficulty Level

Advanced. This workflow combines multiple cloud services and APIs, requiring familiarity with authentication tokens, API endpoints, and conditional logic. Users should have basic understanding of n8n workflows and social media API integration before implementing this template.

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

What This Workflow Does

The GoMarble MCP Weekly Report workflow automates the generation and delivery of comprehensive weekly reports using advanced AI capabilities. This intelligent system leverages multiple language models and MCP (Model Context Protocol) tools to analyze data, create detailed summaries, and send them directly to your inbox every week. It combines the power of Anthropic’s Claude and OpenAI’s models to produce high-quality, contextually-aware reports tailored to your needs.

How It Works

The workflow operates on a scheduled trigger that activates once per week. When activated, it initiates an agent-based process that coordinates multiple AI models and tools to complete the report generation task. The system uses an MCP client tool to access external data sources and integrations through the GoMarble platform. The workflow then processes this information through both Anthropic and OpenAI language models via a chaining mechanism, allowing for sophisticated analysis and content generation. Once the report is finalized, it is automatically formatted and sent via Gmail to your specified recipients.

Use Cases

• Marketing teams generating weekly performance summaries with AI-powered insights from multiple data sources and campaign metrics
• Project managers creating automated status reports that consolidate team progress, milestones, and upcoming deliverables
• Business analysts producing weekly market analysis and competitive intelligence reports using AI-enhanced data interpretation
• Executive leadership receiving automated executive summaries with key performance indicators and strategic recommendations
• Content teams generating weekly editorial reports that track publishing metrics, engagement data, and content performance across channels

Nodes Used

• Schedule Trigger – Initiates the workflow on a weekly schedule
• Agent Node – Coordinates the workflow logic and manages task execution
• LM Chat Anthropic – Integrates Claude language model for advanced text analysis and generation
• LM Chat OpenAI – Integrates OpenAI models for additional AI processing and refinement
• MCP Client Tool – Connects to GoMarble and other external data sources via Model Context Protocol
• Chain LLM – Sequences multiple language model calls for complex reasoning and content generation
• Gmail – Sends the completed report via email to designated recipients
• Set Node – Configures variables and data structures throughout the workflow

Prerequisites

• Active n8n instance with access to workflow creation and execution
• Gmail account configured with n8n credentials for email delivery
• Anthropic API key for Claude language model access
• OpenAI API key for GPT model integration
• GoMarble account with MCP server access and authentication credentials
• Data sources or systems that the MCP client tool will connect to for gathering report content
• Defined recipient email addresses for report distribution
• Appropriate n8n workflow editor permissions and plan tier supporting these node types

Difficulty Level

This workflow is classified as Advanced. It requires understanding of multiple AI models, MCP protocol integration, email automation, and workflow orchestration. Users should have experience with API authentication, LLM prompt engineering, and data processing concepts. Configuration involves setting up credentials for multiple external services and designing effective prompts for the language models to generate quality reports.

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