Workflow Templates

Overview Automate your daily contact imports from NocoDB to Brevo.The workflow updates the record status in NocoDB at each step. For every email campaign, it’s essential to keep your Brevo contact list updated so you can send personalized and targeted emails. This flow automates that process. ✅ Tasks ⏰ Runs automatically every day 🗂 Fetches only new/unimported records from NocoDB 🔍 Checks for missing required fields 🚫 Filters out disposable/temporary emails 📬 Creates contacts in Brevo 📝 Updates NocoDB status after each step 🛠 How to Use 1️⃣ Set your schedule The Schedule Trigger node runs the flow daily adjust to your preferred time. 2️⃣ Prepare your table in NocoDB Your NocoDB table should contain at least: id first_name last_name email status (default: 0-not-imported) 3️⃣ Configure your credentials Connect your NocoDB API Token in the NocoDB nodes. Connect your Brevo API Key in the Brevo node. 4️⃣ Map your fields In the Brevo: Create Contact node, make sure first name, last name, and email match your NocoDB column names. 📌 Notes 🛡 Make sure your NocoDB project/table IDs match the ones in this template. 🚀 This workflow processes contacts one-by-one to avoid heavy API calls and rate limit issues with Brevo. ✅ status values: 0-not-imported → new record 1-empty-fields → missing required fields 2-disposal-email → disposable email detected 3-contact-created → successfully created in Brevo

This n8n workflow automates the monitoring and notification of Palo Alto Networks security advisories. It is triggered manually from within the n8n UI or scheduled to run daily at midnight using the Schedule Trigger. The workflow begins by fetching the latest security advisories from Palo Alto Networks' RSS feed. Each advisory is then processed, and relevant information is extracted and categorized, including the advisory type, subject, and severity. The workflow checks the publication date of each advisory to ensure that it was posted within the last 24 hours, filtering out older advisories. The workflow then splits into two paths based on the advisory type: GlobalProtect and Traps. In the GlobalProtect path, advisories related to GlobalProtect are identified and used to create Jira issues. The Jira issues include a summary with the advisory title and a description that provides details about the advisory, its severity, link, and publication date. In the Traps path, advisories related to Traps are recognized, and dummy data (which should be replaced with logic to retrieve valid user emails) is generated for sample purposes. These email addresses are then used to send email notifications using the Gmail node. Each email's subject includes the type of advisory, while the body contains the advisory title and a link for more information. Potential issues when setting up this workflow for the first time might involve configuring the Schedule Trigger to match the desired time zone. Additionally, ensuring that the Jira and Gmail nodes are configured correctly with the required credentials and email addresses is crucial. The placeholder for generating dummy data for email recipients should be replaced with logic to retrieve valid user emails. Proper error handling and testing with real and sample advisories can help identify and resolve any potential issues during setup.

Description This workflow automatically monitors online forums for specific keywords, topics, or competitor mentions. It helps you stay on top of relevant discussions without manually checking multiple forums throughout the day. Overview This workflow automatically monitors selected forums for new posts, keywords, or competitor activity. It uses Bright Data to scrape forum content and can notify you or save results to a spreadsheet or other service. Tools Used n8n:** The automation platform that orchestrates the workflow. Bright Data:** For scraping forum content without getting blocked. (Optional) Google Sheets/Discord/Telegram:** For notifications or data storage. 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 Bright Data node. Set Up Notifications (Optional): Configure notification/storage nodes as needed. Customize: Specify the forums and keywords to monitor. Use Cases Brand Monitoring:** Stay updated on mentions of your brand or product. Competitor Tracking:** Monitor competitor activity in your industry forums. Community Managers:** Get alerts for new threads or topics. 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 #forums #brightdata #webscraping #monitoring #forummonitoring #brandmentions #competitortracking #keywordtracking #n8nworkflow #workflow #nocode #communitymanagement #onlineforums #discussionboards #brandawareness #marketresearch #socialmediamonitoring #contentmonitoring #reputationmanagement #digitalmarketing #businessintelligence #onlinediscussions #competitoranalysis

This automated n8n workflow detects and manages fraudulent booking transactions through comprehensive AI-powered analysis and multi-layered security checks. The system processes incoming travel booking data, performs IP geolocation verification, enriches transaction details with AI insights, calculates dynamic risk scores, and executes automated responses based on threat levels. All transactions are logged and appropriate notifications are sent to relevant stakeholders. Good to Know The workflow combines multiple detection methods, including IP geolocation, AI analysis, and risk scoring algorithms Google Gemini Chat Model provides advanced natural language processing for transaction analysis Risk levels are dynamically calculated and categorized as CRITICAL, HIGH, or standard risk Automated blocking and flagging system protects against fraudulent transactions in real-time All transaction data is logged to Google Sheets for audit trails and pattern analysis The system respects API rate limits and includes proper error handling mechanisms How It Works 1. Initial Data Ingestion & Extraction Monitors and captures incoming booking transaction data from various sources Extracts key booking details including user information, payment data, booking location, and transaction metadata Performs initial data validation and formatting for downstream processing 2. IP Geolocation and AI Analysis IP Geolocation Check**: Validates booking IP addresses by checking geolocation details and comparing against expected user locations AI Agent Integration**: Utilizes Google Gemini Chat Model to analyze booking patterns, user behavior, and transaction anomalies Enhanced Data Processing**: Enriches transaction data with geographical context and AI-driven risk indicators 3. Risk Calculation and Decision Logic Enhanced Risk Calculator**: Combines AI-generated risk scores with geolocation-based factors, payment method analysis, and historical patterns Critical Risk Check**: Flags transactions with risk levels marked as CRITICAL for immediate action High Risk Check**: Identifies HIGH risk transactions requiring additional verification steps Dynamic Scoring**: Adjusts risk calculations based on real-time threat intelligence and pattern recognition 4. Action & Notification Block User Account**: Automatically blocks user accounts for CRITICAL risk transactions to prevent immediate fraud Flag for Review**: Marks HIGH risk transactions for manual review by fraud prevention teams Send Notifications**: Dispatches real-time alerts via email and messaging systems to security teams Automated Responses**: Sends appropriate messages to users based on transaction status and risk level 5. Logging & Response Log to Google Sheets**: Records all transaction details, risk scores, and actions taken for comprehensive audit trails Flag for Review**: Maintains detailed logs of flagged transactions for pattern analysis and machine learning improvements Response Tracking**: Monitors and logs all automated responses and manual interventions How to Use Import the workflow into your n8n instance Configure Google Gemini Chat Model API credentials for AI analysis Set up IP geolocation service API access for location verification Configure Google Sheets integration for transaction logging Establish Gmail/email credentials for notification delivery Define risk thresholds and scoring parameters based on your fraud tolerance levels Test the workflow with sample booking data to verify all components function correctly Monitor initial deployments closely to fine-tune risk scoring algorithms Establish manual review processes for flagged transactions Set up regular monitoring and maintenance schedules for optimal performance Requirements Google Gemini Chat Model API access IP Geolocation service API credentials Google Sheets API integration Gmail API or SMTP email service for notifications n8n instance with appropriate node modules installed Customizing This Workflow Risk Scoring Parameters**: Adjust risk calculation algorithms and thresholds based on your specific fraud patterns and business requirements AI Model Configuration**: Fine-tune Google Gemini prompts and analysis parameters for improved accuracy in your use case Notification Channels**: Add or modify notification methods including Slack, SMS, or webhook integrations Data Sources**: Extend input methods to accommodate additional booking platforms or payment processors Logging Destinations**: Configure alternative or additional logging systems such as databases or external SIEM platforms Geographic Rules**: Customize geolocation validation rules based on your service areas and customer base Automated Actions**: Modify or expand automated response actions based on your fraud prevention policies Review Workflows**: Integrate with existing fraud review systems or ticketing platforms for seamless manual review processes

About this AI Agent This workflow is designed to automate web interactions by simulating a human user, using a combination of the Agent node and AI tools powered by Airtop. How does this workflow works? Form Submission Trigger: The workflow starts with a form submission trigger node named "On form submission". This node collects user instructions for the web AI agent, including a prompt and an optional Airtop profile name for sites requiring authentication. AI Agent: The core of the workflow is the "AI Agent" node, which uses a smart web agent to manage a remote web browser. It is designed to fulfill user requests by interacting with the browser through various tools. Browser Session Management Start Browser: The "Start browser" node initiates a new browser session and window. It is essential for obtaining the sessionId and windowId required for subsequent operations. Session and Window Management: The workflow includes nodes for creating and managing browser sessions and windows, such as "Session" and "Window". Web Interaction Tools: Load URL: This node loads a specified URL into the browser window. Query: The "Query" node allows the agent to ask questions and extract information from the current web page. Click: This node simulates clicking on elements within the web page. Type: The "Type" node types text into specified elements on the page. Session Termination: The "End session" node is used to terminate the browser session once the tasks are completed. Output Handling Structured Output Parser: This node processes the agent's results into a structured format. Output: The final results are set and prepared for output. Slack Integration: Although currently disabled, there is a "Slack" node intended to send messages to a Slack channel, potentially for notifications or live view URLs. Seting up your agent Airtop API Credentials: Users must have valid Airtop API credentials to interact with the web browser tools. This includes nodes like "Click", "Query", "Load URL", "End session", "Type", "Session", and "Window". Slack API Credentials (Optional): If users want to enable Slack notifications, they need to configure Slack OAuth2 credentials. The Slack node is currently disabled but can be used to send messages to a Slack channel. Anthropic API Credentials: The "Claude 3.5 Haiku" node requires Anthropic API credentials. Users need to have access to this API to utilize the language model features.

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. This workflow automatically tracks individual sales rep performance—calls, emails, meetings, quota attainment—and surfaces coaching insights. Free your managers from manual report building and focus on improvement. Overview On a daily schedule, the workflow queries CRM and telephony/email logs, aggregating activity metrics per rep. OpenAI analyzes patterns, flags underperformance or standout achievements, and suggests tailored coaching tips. Results are delivered as a nicely formatted Slack message and stored in Airtable. Tools Used n8n** – Automation backbone CRM + Telephony APIs** – Provide activity data OpenAI** – Generates insights and coaching tips Slack** – Sends manager digest Airtable** – Maintains historical performance records How to Install Import the Workflow into n8n. Connect Data Sources: Add CRM, VoIP, and email API keys. Set Up OpenAI: Enter your API key. Authorize Slack & Airtable. Customize Metrics: Modify the aggregation node to focus on your KPIs. Use Cases Sales Coaching**: Provide reps with daily feedback. Performance Management**: Quickly identify top and low performers. Incentive Programs**: Track achievements for rewards. Revenue Operations**: Unify activity data into one source. 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 #salesperformance #openai #salescoaching #n8nworkflow #nocode #revenueops

What it is- I wanted to create a simple, easy-to-use, MCP server for your Discord bot(s). How to set up- Literally all you do is select your bot auth (or crease a new Discord Bot auth if you havn't entered your key in n8n before) and that's IT! How to use it- You can now ask your bot to do things via any MCP client, including from within N8N workflows! Note: If you need an example, you can check out my simple quickstart Discord MCP Server that uses 4o to send messages to channels on your server and users who are members of the server the bot is in. Need help? Want access to more workflows and even live Q&A sessions with a top verified n8n creator.. All 100% free? Join the community

CallForge - AI Gong Sales Call Processing Workflow Automate your Gong.io sales call analysis with AI-driven insights, real-time tracking, and structured CRM integration. Who is This For? This workflow is designed for: ✅ Sales teams looking to automate sales call processing. ✅ Revenue operations (RevOps) professionals managing high volumes of call data. ✅ AI-driven sales intelligence teams using Gong.io for data-driven insights. What Problem Does This Workflow Solve? Manually managing and analyzing large volumes of Gong call data is time-consuming and error-prone. With CallForge, you can: ✔ Automate call processing to scale AI-driven insights. ✔ Integrate with Notion to track and organize sales call data efficiently. ✔ Get real-time Slack updates to stay informed on call processing progress. ✔ Handle API failures gracefully, allowing easy reruns if a rate limit is hit. ✔ Ensure AI-ready analysis, feeding structured call data into an AI-powered system. What This Workflow Does 1. Triggers on New Gong Calls Captures new Gong calls and retrieves metadata, call summaries, and participant details. 2. Compares Calls Against Notion Database Checks whether the call has already been processed and stored in Notion. Prevents duplicate entries** from being added. 3. Creates a Parent Notion Record for AI Processing Stores call details such as date, title, URL, company name, sales rep, and opportunity details in Notion. Links calls to Salesforce Opportunity (SF Opp) data. Assigns sales representatives and customer information to each call. 4. Loops Through Calls for Processing Ensures resilience* by allowing failed runs to *restart where they left off**. Processes calls one at a time to prevent Notion rate limits. 5. Sends Call Data to an AI Processor Extracts structured call details and sends them to an AI-powered analysis workflow. Allows multiple AI agents to process and extract structured data from calls. 6. Provides Real-Time Slack Alerts Posts a progress update in Slack when the queue starts processing. Sends real-time call progress notifications. Sends a completion alert once all calls are processed. How to Set Up This Workflow 1. Connect Your APIs 🔹 Gong API Credentials – Ensure you have valid Gong API credentials in n8n. 🔹 Notion Database – Provide access to a Notion database for storing call insights. 🔹 Slack Integration – Configure a Slack channel for progress alerts. 🔹 AI Processing Workflow – Connect an AI-powered call processing workflow for final analysis. CallForge - 01 - Filter Gong Calls Synced to Salesforce by Opportunity Stage CallForge - 02 - Prep Gong Calls with Sheets & Notion for AI Summarization CallForge - 03 - Gong Transcript Processor and Salesforce Enricher CallForge - 04 - AI Workflow for Gong.io Sales Calls CallForge - 05 - Gong.io Call Analysis with Azure AI & CRM Sync CallForge - 06 - Automate Sales Insights with Gong.io, Notion & AI CallForge - 07 - AI Marketing Data Processing with Gong & Notion CallForge - 08 - AI Product Insights from Sales Calls with Notion How to Customize This Workflow 💡 Modify Call Storage – Swap Notion for a different CRM or database (e.g., HubSpot, Airtable, Salesforce). 💡 Change AI Processing – Integrate a custom AI model for analyzing sales conversations. 💡 Customize Slack Notifications – Adjust Slack messages or send alerts via email instead. 💡 Expand with More Integrations – Connect with Salesforce, Pipedrive, or HubSpot for further enrichment. Why Use CallForge? 🚀 Automate Gong call tracking for seamless sales intelligence. 📊 Improve sales operations with structured, AI-powered insights. ⚡ Get real-time updates and keep your team informed instantly. Start optimizing your Gong call processing today!

Trigger on new Typeform form submission Write data to Google Sheet Check severity of problem If very severe post message to Slack If not so severe just send an email Assumptions Google Sheet Sheet in Spreadsheet called "Problems". Columns Names: Name Email Severity Problem Example Sheet: https://docs.google.com/spreadsheets/d/17fzSFl1BZ1njldTfp5lvh8HtS0-pNXH66b7qGZIiGRU Typeform Typeform formular with questions named exactly like the columns of the Google Sheet.

This telegram bot is designed to send one random recipe a day. This specific bot has filtered out only vegan recipes, so you can choose your diet type and send only recipes for a specific diet. What credentials you need: Set up a telegram bot. Airtable for listing who has joined your bot. This is needed to send one random recipe a day. Recipe (or other) API. This one uses Spoonacular. I hope you enjoy your bot!

This workflow automates the process of sending voice calls for verification purposes and combines it with email verification. It uses the ClickSend API for voice calls and integrates with SMTP for email verification. This workflow is a powerful tool for automating phone and email verification, ensuring a seamless and secure user verification process. Below is a breakdown of the workflow: 1. How It Works The workflow is designed to verify a user's phone number and email address through a combination of voice calls and email verification. Here's how it works: Form Submission: The workflow starts with a Form Trigger node, where users submit a form with the following fields: To: The recipient's phone number (including the international prefix, e.g., +1xxxx). Voice: The voice type (male or female). Lang: The language for the voice call (e.g., en-us, it-it, fr-fr, etc.). Email: The recipient's email address. Name: The recipient's name. Set Voice Code: The Set Voice Code node defines the verification code that will be spoken during the voice call. Format Code for Voice: The Code for Voice node formats the verification code by adding spaces between characters for better clarity during the voice call. Send Voice Call: The call includes the verification code, which is read aloud to the recipient. Verify Voice Code: The Verify Voice Code node prompts the user to enter the code they received via the voice call. The Is Voice Code Correct? node checks if the entered code matches the predefined code. If correct, the workflow proceeds to email verification. If incorrect, the user is notified of the failure. Set Email Code: The Set Email Code node defines the verification code that will be sent via email. Send Email: The Send Email node sends an email to the recipient with the verification code using SMTP. Verify Email Code: The Verify Email Code node prompts the user to enter the code they received via email. The Is Email Code Correct? node checks if the entered code matches the predefined code. If correct, the user is notified of successful verification. If incorrect, the user is notified of the failure. 2. Set Up Steps To set up and use this workflow in n8n, follow these steps: ClickSend API Key: Create an account on ClickSend and obtain your API Key. In the Send Voice node, set up HTTP Basic Authentication: Username: Use the username you registered with on ClickSend. Password: Use the API Key provided by ClickSend. SMTP Configuration: Set up SMTP credentials in n8n for the Send Email node. Ensure the SMTP server is configured to send emails from the specified email address. Form Configuration: The Form Trigger node is pre-configured with fields for: To: The recipient's phone number. Voice: Choose between male or female voice. Lang: Select the language for the voice call. Email: The recipient's email address. Name: The recipient's name. Customize the form fields if needed. Set Verification Codes: In the Set Voice Code node, define the verification code that will be spoken during the voice call. In the Set Email Code node, define the verification code that will be sent via email. Test the Workflow: Submit the form with the required details (phone number, voice, language, email, and name). The workflow will: Send a voice call with the verification code. Prompt the user to verify the code. Send an email with the verification code. Prompt the user to verify the email code. Notify the user of success or failure. Need help customizing? Contact me for consulting and support or add me on Linkedin.

🎦🚀 YouTube Video Comment Analysis Agent This n8n workflow is designed to help YouTube creators analyze video details and comments to generate a comprehensive and actionable report. The workflow provides insights into video performance, audience engagement, and viewer feedback, helping creators identify trends, interests, and opportunities for future content creation. ✨ Key Features Video Performance Analysis: Extracts metrics like views, likes, and comments to evaluate the video's success. Comment Sentiment Analysis: Determines the tone of comments (positive, neutral, or negative) to understand audience sentiment. Recurring Themes Detection: Identifies common topics or questions in comments to highlight viewer interests. Engagement Drivers: Pinpoints what aspects of the video resonated most with viewers. Actionable Recommendations: Offers strategies for creating follow-up content or improving future videos. Keyword Suggestions: Extracts frequently mentioned terms for better discoverability on YouTube. Collaboration Opportunities: Suggests potential partnerships based on viewer feedback or related channels. 🛠️ How to Use Set Up Workflow Variables: Add your GOOGLE_API_KEY and the VIDEO_ID of the YouTube video you want to analyze in the "Workflow Variables" node. Ensure your Google API key has access to the YouTube Data API. Run the Workflow: Trigger the workflow manually or through another workflow using the "Execute Workflow Trigger" node. The workflow will fetch video details and comments using pagination to ensure all data is captured. Generate Insights: The workflow processes video details and comments to create a detailed report with actionable insights. Outputs include sentiment analysis, engagement drivers, content opportunities, and audience profiling. View or Share Results: The report is converted into Markdown and can be emailed via Gmail or saved to Google Drive as a document. 🌟 Value from This Workflow Gain a deeper understanding of your audience's preferences and feedback. Identify trends and engagement drivers to replicate success in future videos. Discover new content opportunities based on viewer questions and suggestions. Improve discoverability by leveraging keyword suggestions extracted from comments. Build stronger connections with your audience by addressing their needs effectively.