Workflow Templates

Who's it for Business owners, freelancers, and professionals who use Cal.com or Calendly for scheduling and want instant WhatsApp notifications for all booking activities without constantly checking their email or calendar apps. What it does This workflow automatically monitors your calendar booking events from both Cal.com and Calendly, then sends beautifully formatted WhatsApp messages to notify you of: New bookings with guest details Rescheduled meetings with old vs new times Cancelled appointments Meeting completion notifications (Cal.com only) The AI agent intelligently formats each message with emojis, proper spacing, and all relevant booking information including guest names, emails, dates, times, locations, and notes. How it saves you time Stop checking multiple platforms: Instead of constantly monitoring email notifications, calendar apps, and booking dashboards, get everything instantly on WhatsApp - the app you're already using throughout the day. Immediate awareness: Know about booking changes the moment they happen, not hours later when you finally check your email. This means you can quickly adjust your schedule, prepare for meetings, or reach out to clients if needed. Mobile-first notifications: Since most people check WhatsApp more frequently than email, you'll never miss important booking updates again. Perfect for busy professionals who are often away from their desk. How it works When a booking event occurs on either platform, the workflow captures the data, merges it through an aggregator, then uses Google Gemini AI to generate a professionally formatted WhatsApp message that gets sent instantly to your phone. Requirements Cal.com and/or Calendly account with API access WhatsApp Business API credentials Google API key for Gemini Active webhook endpoints for both calendar services How to customize Update the recipient phone number in the WhatsApp node Modify message templates in the AI Agent's system prompt Add additional calendar platforms by connecting more trigger nodes Customize emoji usage and message formatting to match your brand

Introduction Automates travel itinerary creation by searching flights and hotels via APIs, then uses AI to generate personalized recommendations delivered as HTML emails through Gmail. How It Works Webhook receives travel requests, searches Skyscanner and Booking.com APIs in parallel, merges results, uses AI to create optimized itineraries, formats as HTML email, sends via Gmail. Workflow Template Webhook → Parse & Validate → Parallel Searches (Flights: Skyscanner | Hotels: Booking.com) → Merge Data → AI Generate Itinerary → Format HTML Email → Send Gmail → Webhook Response Workflow Steps Trigger & Validate: Webhook receives request, extracts destination/dates/budget/preferences, validates data, converts to API parameters. Parallel Search: Skyscanner fetches flights with price/duration/airline. Booking.com retrieves hotels with ratings/pricing. Merge combines both into single JSON object. AI Generation: AI analyzes merged data, evaluates by price/duration/rating, creates itinerary with daily schedule, pairings, costs, and rankings. Delivery: Converts JSON to HTML email with tables and booking links. Gmail sends email. Webhook confirms success. Setup Instructions API Configuration: Add Skyscanner and Booking.com API credentials in n8n. Gmail Setup: Configure OAuth2 authentication. Customization: Copy webhook URL, adjust validation rules, modify AI prompts and HTML template. Prerequisites Skyscanner API key Booking.com API credentials Gmail with OAuth2 n8n instance Use Cases Personal vacation planning Business travel arrangements Customization Add APIs (Kiwi, Expedia) Filter by budget, Modify email design Benefits Saves 2-3 hours per trip Real-time pricing comparison

Who’s it for Teams building health/fitness apps, coaches running check-ins in chat, and anyone who needs quick, structured nutrition insights from food photos—without manual logging. What it does / How it works This workflow accepts a food image (URL or Base64), uses a vision-capable LLM to infer likely ingredients and rough gram amounts, estimates per-ingredient calories, and returns a strict JSON summary with total calories and a short nutrition note. It normalizes different payloads (e.g., Telegram/LINE/Webhook) into a common format, handles transient errors with retries, and avoids hardcoded secrets by using credentials/env vars. Requirements Vision-capable LLM credentials (e.g., gpt-4o or equivalent) One input channel (Webhook, Telegram, or LINE) Environment variables for model name/temperature and optional request validation How to set up Connect your input channel and enable the Webhook (copy the test URL). Add LLM credentials and set LLM_MODEL and LLM_TEMPERATURE (e.g., 0.3). Turn on the workflow, send a sample payload with imageUrl, and confirm the strict JSON output. (Optional) Configure a reply node (Telegram/Slack or HTTP Response) and a logger (Google Sheets/Notion). How to customize the workflow Outputs**: Add macros (protein/fat/carb) or micronutrient fields. Units**: Convert portion descriptions (piece/slice) to grams with your own mapping. Languages**: Toggle multilingual output (ja/en). Policies**: Tighten validation (reject low-confidence parses) or add manual review steps. Security**: Use signed/temporary URLs for private images; mask PII in logs. Data model (strict JSON) { "dishName": "string", "ingredients": [{ "name": "string", "amount": 0, "calories": 0 }], "totalCalories": 0, "nutritionEvaluation": "string" } Notes Rename all nodes clearly, include sticky notes explaining the setup, and never commit real IDs, tokens, or API keys.

AI-powered feedback analysis and response automation from Jotform to Google Sheets and Slack Who’s it for Businesses using Jotform to collect customer feedback who want to automate sentiment analysis, email responses, and internal reporting — especially eCommerce, support, or CX teams looking to scale without hiring more agents. How it works This workflow captures every new Jotform submission, extracts key fields, and uses OpenAI GPT-4.1 to classify sentiment and root cause. Negative feedback or ratings ≤3:** Generates a recovery email, logs it in Google Sheets, and alerts your CX team on Slack. Positive or neutral feedback:** Sends a personalized thank-you email with a link to leave a public review. All submissions are stored in Google Sheets for analytics and performance tracking. How to set up Visit Jotform and sign up (if you’re new) or log in to your existing account. Click your profile icon (top-right) → go to Settings. In the left sidebar, open the API section. Click Create New Key. Set permission to Full Access (recommended for full workflow functionality). Copy the generated API key. In n8n, open Credentials → Create New → JotForm API. Paste your API key and save it as JotForm account. Test the connection by running your Jotform Trigger node. Jotform Configuration Guide (for n8n Feedback Workflow) Follow these steps to connect your Jotform to n8n: 1️⃣ Create the Feedback Form Build a form in Jotform with the following exact fields: Field Label - Field Type - Example Input Full Name - Short Text - Customer Name Email - Email - test@gmail.com Whatsapp Number - Short Text- 91xxxxxxxxxx Order Id - Short Text - #2321 Ratings - Ratings - 3 Please describe your experience in detail. - Long Text - “Feedback” Would you recommend us to others? - Single Choice (Yes/No) - No 💡 Tip: Keep field labels identical — n8n uses these exact keys for data mapping. Requirements Jotform API key (Full Access) OpenAI API key SMTP or transactional email service Google service account or Authenticate using Oauth2 Slack token How to customize You can easily adjust rating thresholds, AI prompts, or email templates to match your brand’s tone. The structure is modular — no code changes needed, just edit nodes and re-deploy.

Product Video Creator with Nano Banana & Veo 3.1 via Telegram Who's it for This workflow is perfect for: E-commerce sellers needing quick product videos Social media marketers creating content at scale Small business owners without video editing skills Product photographers enhancing their offerings Anyone selling on Instagram, TikTok, or mobile-first platforms What it does Transform basic product photos into professional marketing videos in under 2 minutes: Send a product photo to your Telegram bot Nano Banana analyzes and enhances your image with studio-quality lighting Veo 3.1 generates an 8-second vertical video with motion and audio Receive your scroll-stopping marketing video automatically Perfect for creating engaging vertical content without expensive tools or editing expertise. How it works Input → User sends product photo via Telegram with optional caption AI Analysis → Nano Banana analyzes product and generates detailed enhancement prompt Image Enhancement → Nano Banana creates commercial-grade photo (9:16, studio lighting) Video Generation → Veo 3.1 creates 8-second 1080p video with motion and audio Delivery → Auto-polls status every 30s, delivers final video to Telegram Requirements Google Cloud Platform Vertex AI API** enabled for Veo 3.1 Generative Language API** enabled for Nano Banana OAuth2 credentials Get credentials from Google Cloud Console Telegram Bot token from @BotFather n8n Self-hosted or cloud instance Setup Import workflow JSON into n8n Add credentials: Telegram API (bot token) Google OAuth2 API (client id and secret) Google PaLM API (API key) Update your Project ID in both Veo 3.1 nodes Activate workflow and test with a product photo How to customize Aspect Ratio: Choose 9:16 (vertical), 16:9 (horizontal) in "Generate Enhanced Image" and "Initiate veo 3.1" nodes Duration: Set 2 to 8 seconds by adjusting durationSeconds in "Initiate veo 3.1 Video Generation" Quality: Select 720p or 1080p by changing resolution in "Initiate veo 3.1 Video Generation" Audio: Enable or disable background music by toggling generateAudio in "Initiate veo 3.1 Video Generation" Enhancement Style: Match your brand aesthetic by editing the prompt in "AI Design Analysis" node Polling Time: Adjust retry interval by changing wait time in "Processing Delay (30s)" node Key Features 🔐 Direct Google APIs – No third-party services. Uses Nano Banana and Veo 3.1 directly via Google Cloud for maximum reliability and privacy ⚡ Fully Automated – Send photo, receive video. Zero manual work required 🎨 Studio Quality – Nano Banana delivers professional lighting, composition, and AI-powered color grading 📱 Mobile-First – Default 9:16 vertical format optimized for Instagram Reels, TikTok, and Stories 🔄 Smart Retry Logic – Automatically polls Veo 3.1 status every 30 seconds until video generation completes 🎵 Audio Included – Veo 3.1 generates background music automatically (can be disabled)

📤 Search Products from Facebook Ads on Amazon Once connected, this automation automatically scrapes Facebook ads from a specific Facebook Ad Library URL and searches for that same product on Amazon. Can be useful for Amazon FBA or dropshipping. 🔨 Setup This automation workflow is connected with two Apify scrapers. Make sure to connect the two scrapers mentioned in the blue and orange box, with their specific API endpoints. 👋 Need Help? If you need further help, or want a specific automation to be built for you, feel free to contact me via richard@advetica-systems.com.

This workflow uses AI agents to enrich company data from Airtable. It performs deep research to find the best decision-maker, then drafts and evaluates a personalized outreach email, and finally updates the original Airtable record with the new lead information and email content. 👥 Who is it for? This workflow is ideal for sales teams, marketers, and business development professionals looking to automate their lead generation and initial outreach process, saving time and increasing personalization at scale. ⚙️ How it works This workflow initiates by fetching unprocessed company records from a specified Airtable base. For each company, it performs a "deep research" using Jina AI to identify key decision-makers based on the company's name and website. Next, a series of AI agents process the information: Lead Analyzer: A "Lead Generation Specialist" agent analyzes the research results to select the most suitable contact person. Email Content Creator: A "Content Creator Specialist" agent uses the lead's information and your business details to draft a personalized marketing email and subject line. Evaluator: An "Expert Email Marketing Evaluator" agent reviews the generated email for quality, tone, and effectiveness, providing a score and feedback. Finally, the workflow updates the original record in Airtable with the identified lead's name, email, the generated email content, and the evaluation summary, marking the record as processed. 🛠️ How to set up Airtable Setup: Create an Airtable base with a table containing the following fields: Company_name: A text field for the name of the lead's company (Required). Company_website: A URL field for the company's official website (Required). Company_email: An email field for a general contact email for the company (Required). Address: A text field for the physical address of the company (Optional). Company_phone: A phone number field for a general phone number for the company (Optional). processed: A single select field to track the status. It needs the options no and yes. The workflow only processes records set to no (Required). lead_name: A text field that the workflow will populate with the name of the identified lead (Output). lead_email: An email field that the workflow will populate with the identified lead's email (Output). email_subject: A text field for the generated email subject line (Output). email_text: A long text field for the generated, personalized email body (Output). email_summary: A long text field for the AI's evaluation and summary of the created email (Output). create_date: A date and time field to log when the record was processed (Output). task_result: A text field for a summary of the final task result, like "Email wrote" (Output). Create your Airtable Credentials Airtable Documentation Connect your Airtable credentials to the 'Get input records' and 'Update record' nodes and select your Base and Table in both nodes. Fill the Airtable Table with the Companies details you want to generate Leads. The requited columns are (Company_Name, Company_website and Company_email). Also, make sure the column processed is set to "no". Business Information: In the Business_Info node, fill in the values with your company's details, key benefits, target audience, and landing page URL. API Keys: Jina AI: Get your API key from Jina AI and insert it into the Jina_API_Key node. OpenAI: Add your OpenAI credentials to the 'OpenAI o3-mini', 'OpenAI - 4o-mini', and 'OpenAI - 4o-mini - low' nodes. ✅ Requirements An Airtable account. A Jina AI account and API key. An OpenAI account and API key. 🎨 How to customize the workflow Change the data source:** Replace the Airtable 'Get input records' node with another database or CRM node like Google Sheets, HubSpot, or Salesforce to pull your company list from a different source. Adjust AI models:** Experiment with different OpenAI models in the LangChain nodes ('OpenAI o3-mini', 'OpenAI - 4o-mini') to balance cost, speed, and performance. Refine the AI prompts:** Modify the system messages and prompts within the 'Lead Analyzer', 'Email Content Creator', and 'Evaluator' agent nodes to better align their outputs with your specific tone of voice, goals, and evaluation criteria. Automate sending:** Extend the workflow by adding an email node (e.g., Gmail, Outlook) after the 'Update record' node to automatically send the generated emails.

⚙ How It Works The automated blacklist monitor is designed to be a proactive, not reactive, tool. Here is the high-level process: Scheduled Checks: At regular intervals (e.g., every 30 minutes or every hour), a monitoring script or service sends a request to a list of predefined DNS blacklists (DNSBLs) and real-time blackhole lists (RBLs). Lookup Queries: For each check, the system performs a lookup query for our specified domains and IP addresses against the various blacklists. It essentially asks, "Is our-ip-address.com on your list?" Status Evaluation: The blacklist service responds with a status: either the asset is clean or it is listed. Alerting Mechanism: If a new listing is detected, the system immediately triggers a notification. This alert contains key information like the asset that was blacklisted (domain or IP), the specific blacklist it was found on (e.g., Spamhaus), and the time of detection. Status Logging: The status of each asset (clean or listed) is logged in a central dashboard. This allows us to track the history of an IP or domain, see when a listing occurred, and when it was resolved. Setup Steps Follow these steps to set up the automated blacklist monitor. Select a Service: Choose a reliable blacklist monitoring service. Services like MXToolBox, HetrixTools, or Uptime Robot (with custom checks) are popular options. Create an Account: Sign up and create an account for your organization on the chosen platform. Add Monitored Assets: Navigate to the "Monitors" or "Assets" section within the service's dashboard. Add all of the following: Your primary domain names (e.g., yourcompany.com). All outbound mail server IP addresses. Any other publicly facing IP addresses associated with your business. Configure Notification Channels: Set up how and where you want to receive alerts. The best practice is to configure multiple channels for redundancy: Email: Send alerts to a group alias like security@yourcompany.com or it-alerts@yourcompany.com. Chat/IM: Integrate with a communication tool like Slack or Microsoft Teams and create a dedicated channel (e.g., #blacklist-alerts). Ticketing System: Configure the service to automatically open a ticket in your help desk software (e.g., Jira, ServiceNow) when a new listing is found. Set Up Check Frequency: Configure how often you want the system to perform checks. A frequency of every 15 to 30 minutes is a good starting point for a high-priority service like email. Create a Runbook: A runbook is a document that outlines the steps to take when an alert is received. Create and share a runbook with your team that includes: Confirmation: How to verify the listing. Investigation: Initial steps to find the root cause (e.g., checking mail logs for spam). Delisting: How to submit a delisting request to the specific blacklist provider. Initial Testing: Once everything is configured, perform a manual check to ensure the system is working and that all notification channels are active. You can often do this with a "test check" button within the monitoring service's dashboard.

What This Workflow Does Automatically handles customer support emails about Shopify orders using AI. When customers email questions like "Where is my order?" or "When will it arrive?", this workflow: Receives the email via Gmail trigger Classifies the email to identify order-related queries (WISmo - Where Is My Order) Retrieves real-time order data from your Shopify store Generates a friendly, personalized response using AI Sends an automatic reply directly to the customer Key Features ✅ Smart email classification (handles only order-related queries) ✅ Real-time Shopify order lookup ✅ Natural, empathetic AI responses ✅ Fully automated - no manual intervention needed ✅ Non-order emails are filtered out automatically Setup Requirements Estimated setup time: 20-30 minutes You'll need: Gmail account (for receiving/sending emails) Shopify store with Admin API access OpenRouter API key (for AI model) Setup steps: Gmail: Connect your Gmail account to the trigger node (watch this tutorial) OpenRouter: Sign up at openrouter.ai and add your API key Shopify: Create a custom app in your Shopify admin with read_orders permission Detailed setup instructions are included in the workflow's sticky notes. Use Cases E-commerce stores with high email volume Small businesses wanting to automate order inquiries Shopify merchants looking to improve response times Support teams needing 24/7 automated assistance Notes **Only responds to order-related emails automatically Other emails are ignored (passed to "No Operation" node) Customize the AI's tone and behavior in the Agent node's system message Safe and secure - only reads order data, doesn't modify anything**

🎥 AI-Powered Inbound Sales Rep Video Agent – Auto-Respond to Leads with Personalized Videos Description: This workflow helps you instantly respond to inbound leads with a hyper-personalized video and email—fully automated using n8n, Heygen API, and OpenAI. Watch the step-by-step Tutorial Build here: https://www.youtube.com/@Automatewithmarc When a visitor submits a form on your website, this AI agent dynamically: Creates a video script tailored to the lead's input using an AI prompt agent Generates a video using the Heygen API with a branded avatar Crafts a contextual follow-up email embedding the video Sends it to the lead’s inbox with a call-to-action This is ideal for: Marketing agencies looking to impress new prospects Sales teams aiming to boost inbound conversions Founders and freelancers building trust through instant video touchpoints 📥 How It Works: Form Trigger  Captures user inputs like name, email, business URL, and marketing pain points. AI Video Prompt Agent  Uses LangChain + OpenAI to write a short, personalized script (e.g., “Hey this is Jason from Purple Unicorn Marketing...”). Video Generation (Heygen API)  Triggers a video using a selected avatar and voice style. Video Status & Wait Logic  Monitors the video generation status until completed. Get Final Video URL & Thumbnail  Retrieves the finished video and prepares for embedding. Email Writer (GPT-4)  Generates an HTML-based outreach email including the lead's info and embedded video thumbnail with a booking link. Email Delivery (Gmail Node)  Sends the full message to the inbound lead automatically. ⚙️ Tools & Integrations: n8n (self-hosted or cloud) Heygen API – for video generation LangChain + OpenAI GPT-4 – for script writing and email creation Gmail Node – for automated outreach delivery 🔧 Setup Instructions: Heygen API Key  Create a Heygen account and retrieve your API key. Set it up as a credential in n8n (httpHeaderAuth). OpenAI Key  Add your OpenAI API key under OpenAI credentials. Gmail OAuth2  Connect your Gmail account using OAuth2 for sending emails. Customize the Prompt  Modify the system message in the LangChain Agent node to reflect your brand tone or CTA. Calendly Link  Update the call-to-action links in both the video prompt and email generator nodes with your real booking URL. 💡 Use Cases: Automating welcome sequences for new signups Personalized video lead responses for agencies AI-driven inbound sales agent for bootstrapped startups

Automatically track new freelance job postings from any platform using Apify Actors, process the results, and get real-time WhatsApp alerts for new opportunities. This workflow saves jobs to Google Sheets for record-keeping and sends instant notifications so you never miss a client lead. Who’s it for Freelancers, agencies, and business developers who want to monitor platforms like Upwork, Fiverr, or Freelancer for new jobs — without checking manually. How it works The workflow starts when a chat message or trigger event is received. It runs an Apify Actor to scrape job listings from your target platform. The dataset results are fetched via Apify’s API. A JavaScript Code node processes and filters the results for relevant jobs. The data is saved to Google Sheets for tracking and reporting. A formatted job summary is created and sent as a WhatsApp message directly to your phone. How to set up Create or use an Apify Actor for scraping job listings from your chosen site. Connect your Apify API token in n8n under credentials. Link your Google Sheets account and specify the sheet for storing job data. Add your WhatsApp Cloud API or Twilio WhatsApp credentials. Test the workflow by sending a trigger message — new jobs will be fetched, stored, and sent to WhatsApp. Requirements Apify account with API access Google Sheets integration WhatsApp Cloud API or Twilio account n8n Cloud or self-hosted instance How to customize 🧩 Add filters: Include keyword or budget filters in the JavaScript node. 🔄 Schedule runs: Replace the chat trigger with a Cron node for hourly or daily tracking. 📊 Change destination: Save results to Notion, Airtable, or Slack instead of Google Sheets. 🗣️ Multi-channel alerts: Send updates to Discord, Telegram, or Email as well. Stay ahead of freelance opportunities — this n8n workflow finds jobs, logs them, and alerts you instantly via WhatsApp.

How it works This workflow provides a comprehensive daily overview of your chosen company's online presence. It automatically: Scans diverse online sources including Google News, Reddit, and YouTube for mentions of your specified company and keywords. Leverages Artificial Intelligence to analyze the sentiment (positive, negative, neutral) and provide concise summaries for each new mention. Intelligently tracks and deduplicates content using a persistent local database, ensuring you only receive alerts for genuinely new discussions or articles, preventing redundant notifications. Compiles a structured, categorized daily report detailing new mentions by source and sentiment. Delivers this insightful report directly to your email inbox. Gain unparalleled visibility into your company's online reputation and public perception across various digital channels! Set up steps Setting up this comprehensive workflow is more involved, typically taking around 25-50 minutes, due to multiple data sources, AI integration, and database management. You'll need to: Define your company's name and a comprehensive list of search keywords. Authenticate your preferred email service (e.g., Gmail). Obtain an API key for your chosen AI service (e.g., OpenAI). Authenticate your Reddit account. Authenticate your Google (YouTube) account (for YouTube API access). Understand the nuances of general internet monitoring, acknowledging that capturing "all" content is practically impossible without highly specialized (and expensive) enterprise tools. All detailed setup instructions and specific configuration guidance are provided within the workflow itself using sticky notes.