by Growth AI
Who's it for Social media managers, content creators, brand managers, and marketing teams who need to track keyword performance and trending content across TikTok, Instagram, and Reddit for competitive analysis and content inspiration. What it does This workflow automatically monitors trending content across three major social media platforms using specified keywords. It scrapes posts from TikTok, Instagram, and Reddit, calculates engagement scores using platform-specific metrics, ranks content by performance, and generates a comprehensive HTML email report with the top-performing posts across all platforms. How it works The workflow follows a sequential multi-platform scraping process: Reddit Scraping: Searches for keyword-based posts and comments with engagement metrics Instagram Monitoring: Analyzes hashtag-based content with likes and comments data TikTok Analysis: Tracks hashtag performance including views, likes, shares, and comments Score Calculation: Applies platform-specific scoring algorithms based on engagement metrics Unified Ranking: Combines and ranks all content across platforms by engagement score Report Generation: Creates a detailed HTML email report with top performers and analytics Requirements Apify account with API access Gmail account for report delivery Platform-specific scrapers: Reddit Scraper Lite, Instagram Scraper, TikTok Scraper How to set up Step 1: Configure Apify credentials Set up Apify HTTP header authentication in n8n Ensure access to the required scrapers: Reddit: trudax~reddit-scraper-lite Instagram: apify~instagram-scraper TikTok: clockworks~tiktok-scraper Step 2: Customize search parameters Reddit configuration: Search terms: Modify "searches" array with your keywords Content type: Posts and comments (searchComments can be enabled) Sort method: "top" (alternatives: hot, new, relevance) Time period: "month" (alternatives: hour, day, week, year, all) Result limits: maxItems: 50, maxPostCount: 25 Instagram configuration: Hashtag URLs: Update directUrls with target hashtags Results type: "posts" (alternatives: stories, reels) Time filter: "onlyPostsNewerThan": "7 days" Result limit: resultsLimit: 15 TikTok configuration: Hashtags: Update hashtags array with target keywords Results per page: resultsPerPage: 20 Time filter: "oldestPostDateUnified": "7 days" Step 3: Set up email reporting Configure Gmail OAuth2 credentials Update recipient email address in "Send a message" node Customize email subject and styling as needed Step 4: Adjust scoring algorithms Current scoring formulas: Reddit: (upvotes × 1) + (comments × 2) Instagram: (likes × 1) + (comments × 2) TikTok: (likes × 1) + (comments × 2) + (shares × 3) + (views ÷ 1000) Modify the code nodes to adjust scoring based on your priorities. How to customize the workflow Keyword and hashtag targeting Multiple keywords: Add arrays of search terms for broader monitoring Brand-specific terms: Include brand names, product names, competitor analysis Seasonal tracking: Adjust keywords based on campaigns or seasonal trends Negative filtering: Exclude irrelevant content with filtering logic Platform-specific customization Reddit enhancements: Subreddit targeting: Focus on specific communities Comment analysis: Enable comment scraping for deeper insights User profiling: Track specific user activity and influence Instagram modifications: Story monitoring: Track story mentions and hashtag usage Influencer tracking: Monitor specific account performance Location-based: Add geo-targeted hashtag monitoring TikTok optimizations: Trend detection: Identify viral sounds and effects Creator analysis: Track trending creators in your niche Challenge monitoring: Follow hashtag challenge performance Scoring and ranking customization Weighted metrics: Adjust multipliers based on platform importance Recency factors: Give bonus points to newer content Quality filters: Exclude low-engagement or spam content Sentiment analysis: Integrate sentiment scoring for brand monitoring Reporting enhancements Multiple recipients: Send reports to different team members Scheduled execution: Add scheduling triggers for automated monitoring Data export: Save results to spreadsheets or databases Alert thresholds: Set up notifications for high-performing content Engagement scoring methodology Platform-specific algorithms Reddit scoring logic: Emphasizes community engagement through upvotes and discussion Comments weighted higher (×2) as they indicate deeper engagement Filters out low-quality posts and spam content Instagram scoring approach: Balances visual appeal (likes) with engagement depth (comments) Focuses on recent content to capture trending moments Excludes carousel sub-items to avoid duplicate counting TikTok scoring system: Multi-factor algorithm considering all engagement types Views normalized (÷1000) to balance with other metrics Shares heavily weighted (×3) as they indicate viral potential Level classification Content automatically categorized into performance tiers: High: Score ≥ 10,000 (viral or highly engaging content) Medium: Score ≥ 1,000 (good engagement, worth monitoring) Low: Score < 1,000 (baseline engagement) Results interpretation Comprehensive analytics dashboard The email report includes: Cross-platform leaderboard: Top 15 posts ranked by engagement score Platform breakdown: Performance summary by social network Engagement metrics: Detailed scoring and classification Direct links: Clickable access to original content Author tracking: Creator identification for influencer outreach Actionable insights Content inspiration: Identify high-performing content formats and topics Competitor analysis: Monitor competitor content performance Trend identification: Spot emerging topics before they peak Influencer discovery: Find creators driving engagement in your niche Use cases Brand monitoring and competitive analysis Brand mention tracking: Monitor how your brand performs across platforms Competitor surveillance: Track competitor content and engagement rates Crisis management: Early detection of negative sentiment or issues Market positioning: Understand your brand's social media presence Content strategy optimization Content format analysis: Identify which content types perform best Hashtag research: Discover effective hashtags for your niche Posting timing: Analyze when high-engagement content is published Trend forecasting: Spot emerging trends for proactive content creation Influencer and partnership identification Creator discovery: Find influential voices in your industry Partnership evaluation: Assess potential collaborator engagement rates Campaign performance: Track sponsored content and brand partnerships Community building: Identify active community members and advocates Workflow limitations API rate limiting: Subject to Apify scraper limitations and quotas Platform restrictions: Some content may be private or restricted Real-time delays: 30-second waits between platform scraping prevent rate limiting Manual execution: Currently triggered manually (easily schedulable) Single keyword focus: Current setup optimized for one keyword at a time Platform availability: Dependent on third-party scrapers and their maintenance
by Rahul Joshi
Description This workflow automatically detects bounced or invalid email addresses from your Gmail inbox and updates their status in Google Sheets. It fetches bounce notifications, extracts failed email addresses, and matches them against your contact list to update each record’s status as “Not Found” (bounced) or “Not Sent” (no bounce). Additionally, it runs a daily scheduled summary that sends bounce statistics to Slack, helping marketing or sales teams maintain clean, up-to-date mailing lists. What This Template Does (Step-by-Step) 📬 Fetch Bounce Notifications from Gmail Retrieves bounce messages automatically filtered by sender mailer-daemon@googlemail.com. 🔢 Get Latest 5 Bounces Sorts all bounce emails by date and limits processing to the five most recent to keep performance fast and focused. 🔍 Parse Bounced Email Addresses Extracts failed email addresses from Gmail message snippets using regex pattern matching. 📋 Fetch All Email Contacts from Google Sheets Loads all contact records from your “Fraud Email” sheet, including columns like Name, Email, Status, and Last Updated. 🔗 Combine Bounce Data with Contact List Merges parsed bounce results with your existing contact data to prepare for status updates. ✅ Match & Update Contact Status Marks “Not Found” for bounced emails. Marks “Not Sent” for valid but inactive ones. Updates “Last Updated” timestamp for all. 💾 Write Updated Status Back to Sheet Pushes updated contact information (Status and Last Updated) back into Google Sheets, ensuring centralized record accuracy. ⏰ Daily 7PM Trigger Automatically starts the summary workflow every evening at 7:00 PM. 🧮 Calculate Summary Statistics Counts total invalid emails (“Not Found”) and inactive ones (“Not Sent”). 💬 Send Slack Daily Summary Sends a formatted report to your #email-cleanup Slack channel showing: 📧 Invalid email count 📭 No activity count ✅ Reminder to maintain list hygiene Prerequisites Gmail account connected with n8n Google Sheet (Fraud Email) with contact data Slack workspace and channel for daily reports n8n instance (cloud or self-hosted) Step-by-Step Setup Connect Gmail → Fetch bounce notifications. Add Google Sheet → Load and update contact data. Parse bounces → Identify failed email addresses. Merge & update → Sync statuses in Google Sheet. Enable daily trigger → Schedule Slack summaries. Customization Ideas 🎯 Expand bounce limit beyond 5 recent messages. 📢 Add a Gmail label like “Bounced” after processing. 📚 Integrate with HubSpot or Airtable for CRM sync. 💡 Include timestamps or sender domains in Slack summary. Key Benefits ✅ Keeps mailing lists accurate and deliverable ✅ Saves hours of manual bounce management ✅ Automates email hygiene with zero supervision ✅ Provides transparent daily Slack reports ✅ 100% automated, efficient, and scalable Perfect For 👥 Marketing and outreach teams managing bulk campaigns 🏢 Businesses maintaining verified contact databases 📊 Sales teams using Gmail and Google Sheets ⚙️ Agencies ensuring top-tier email deliverability
by Daniel Shashko
How it Works This workflow automates the entire lead qualification process from form submission to personalized follow-up. When a prospect fills out your JotForm, the workflow instantly captures their information, runs it through an intelligent scoring algorithm that evaluates email domain, company size, budget, and timeline to assign a lead score (0-100 points). Based on the score, leads are automatically categorized as Hot (75+), Warm (50-74), or Cold (0-49) and routed accordingly. Hot leads trigger immediate notifications to your sales team via Slack with full contact details and qualification notes, while warm and cold leads are routed to marketing for nurture campaigns. All leads are simultaneously logged to HubSpot CRM with custom properties and Google Sheets for tracking and reporting. The workflow then generates personalized follow-up emails based on the lead tier—urgent, action-oriented messages for hot leads and educational, resource-focused content for others—and sends them automatically via SMTP. The entire process takes seconds from form submission to follow-up, eliminating manual data entry and ensuring no lead falls through the cracks. Who is this for? Sales and marketing teams drowning in manual lead qualification and data entry Startups and SMBs needing to respond to leads instantly without a large sales team Revenue operations professionals looking to improve lead routing and response times Anyone using JotForm for lead generation who wants automated CRM integration Setup Steps Setup time: Approx. 20-30 minutes (credential configuration, field mapping, template customization) Requirements: JotForm account with an active lead capture form HubSpot CRM account Google account with a tracking spreadsheet Slack workspace SMTP email provider (Gmail, SendGrid, etc.) Configure your JotForm to collect: Name, Email, Company, Phone, Company Size, Budget Range, and Implementation Timeline. Set up these nodes: JotForm Trigger: Connect your JotForm account and select your lead capture form. Extract & Format Lead Data: Map your JotForm field names to workflow variables. AI Lead Scoring: Review and adjust scoring weights if needed (optional). Route by Lead Quality: Automatically splits leads based on score thresholds. Add to HubSpot CRM: Connect HubSpot and create required custom properties (lead_score, lead_tier, budget_range, company_size, timeline). Log to Google Sheets: Connect Google account, select spreadsheet, and ensure column headers match. Slack Notifications: Connect workspace and select channels for hot leads (sales) and warm/cold leads (marketing). Generate Personalized Email: Customize email templates for each lead tier. Send Email: Configure SMTP credentials and sender information. Credentials must be entered into their respective nodes for successful execution. Customization Guidance Scoring Algorithm:** Adjust point values for email domain (25), company size (30), budget (25), and timeline (20) in the AI Lead Scoring node based on your priorities. Lead Tier Thresholds:** Modify the 75-point hot lead threshold and 50-point warm lead threshold to match your lead quality distribution. Email Templates:** Edit the JavaScript in the Generate Personalized Email node to include your calendar links, case studies, and value propositions. Field Mapping:** Update the Extract & Format Lead Data node if your JotForm uses different field names. CRM Customization:** Replace HubSpot with Salesforce, Pipedrive, or any other CRM that n8n supports. Notification Channels:** Add additional Slack channels, Microsoft Teams, or SMS notifications via Twilio for different routing scenarios. Additional Enrichment:** Insert data enrichment nodes (Clearbit, Hunter.io) between scoring and CRM creation for enhanced lead profiles. Once configured, this workflow will automatically qualify, score, route, and follow up with every lead—reducing response time from hours to seconds and eliminating manual data entry entirely. Built by Daniel Shashko Connect on LinkedIn
by Rahul Joshi
Description Automate daily KPI tracking and reporting by integrating ClickUp tasks and Google Sheets lead data into a unified dashboard. This workflow computes performance metrics, analyzes sentiment, and delivers visualized reports to Slack and Gmail for instant team insights. 📊💬📧 What This Template Does Triggers automatically every day using a cron scheduler. ⏰ Fetches project task data from ClickUp, including status, priority, and assignee metrics. Retrieves lead generation data and responses from Google Sheets. Merges both data sources to create a unified performance dataset. Computes detailed KPI metrics (task completion, overdue %, sentiment analysis, response trends). Formats data for reporting and visualization. Posts a concise KPI summary snapshot to a designated Slack channel. Sends a professionally formatted HTML report via Gmail. Notifies your Slack channel instantly in case of any workflow errors. Key Benefits ✅ Eliminates manual KPI tracking and reporting. ✅ Combines ClickUp and Google Sheets data into one view. ✅ Provides real-time insights for decision-making. ✅ Automates daily updates for consistent visibility. ✅ Delivers both quick Slack summaries and detailed email reports. ✅ Built-in error alerting ensures uninterrupted automation. Features Scheduled daily cron trigger for automated execution. OAuth2-secured integrations with ClickUp, Google Sheets, Slack, and Gmail. Parallel data fetching for faster performance. Smart KPI calculations with sentiment and trend analysis. Custom HTML email template with visual charts and highlights. Slack snapshot notifications for instant updates. Error-handling mechanism with Slack alerts. Requirements ClickUp account with OAuth2 credentials. Google Sheets access with OAuth2 credentials. Slack API credentials with chat:write permission. Gmail OAuth2 credentials for report delivery. Target Audience Project managers tracking performance KPIs. Operations teams needing daily performance visibility. Marketing and sales teams monitoring task and lead metrics. Automation and analytics engineers building executive dashboards. Step-by-Step Setup Instructions Connect your ClickUp, Google Sheets, Slack, and Gmail accounts. 🔑 Replace placeholder IDs (Sheet ID, Channel ID, Email) with your actual values. Adjust the cron trigger time as per your timezone. Test with sample data to confirm correct KPI calculations. Enable workflow to start daily automated execution. 🚀
by Khairul Muhtadin
This workflow automatically checks a list of desired domain names for availability every 30 minutes. Using the Porkbun API and Google Sheets, it instantly sends detailed notifications via Gmail and Discord the moment a domain becomes available, so you can secure it before anyone else. Why Use This Workflow? Time Savings: Eliminates hours of manual domain checking each week. Set your list once and let the automation monitor your targets 24/7. Competitive Edge: Gain a critical speed advantage in acquiring high-value or expiring domains the second they become available. Scalability: Effortlessly monitor hundreds of domains simultaneously without any extra effort or performance degradation. Ideal For Domain Investors:** Automatically track and snipe valuable expiring domains for their portfolio without constant manual checks. Marketing Agencies & SEO Specialists:** Secure brandable domains for new clients or build out private blog networks by catching domains as soon as they drop. Startups & Entrepreneurs:** Monitor desired brand names without the daily hassle, ensuring they get the perfect domain the moment it's available. How It Works Trigger: A schedule trigger initiates the workflow every 30 minutes. Data Collection: It retrieves a list of domains to monitor from a designated Google Sheet, specifically targeting rows marked as "no" for availability. Processing: The workflow iterates through each domain one by one. Intelligence Layer: It makes an API call to Porkbun to check the current availability of the domain. An IF node then determines if the domain is available (avail == yes). Output & Delivery: If a domain is available, the workflow sends a rich HTML email via Gmail and a formatted message to a Discord channel, complete with pricing details and a direct registration link. Storage & Logging: The Google Sheet is automatically updated to mark the domain as "available," preventing redundant notifications on future runs. Setup Guide Prerequisites | Requirement | Type | Purpose | |-------------|------|---------| | n8n instance | Essential | Workflow execution platform | | Porkbun Account | Essential | API Access for domain checks | | Google Cloud Platform | Essential | Storing domain list (Sheets) & sending alerts (Gmail) | | Discord Server | Optional | Real-time channel notifications | Installation Steps Import the JSON file to your n8n instance. Create a Google Sheet with two columns: Domain (e.g., example.com) and isAvailable (e.g., no). Configure credentials: Porkbun: Log in to Porkbun, go to API Access, create a new key, and copy the API Key and Secret Key into the HTTP Request nodes. A "Validate API KEY" node is included for testing your credentials. Google Sheets/Gmail: Authenticate your Google account for the Google Sheets and Gmail nodes. Discord: Create a Discord Bot and add the credentials to the Discord node. Update environment-specific values: Get Domains from Sheet: Enter your Google Sheet ID and select the correct sheet name. Send Email Alert: Set your recipient's email address in the "To" field. Send Discord Notification: Select your desired Server and Channel ID. Test execution: Add a domain you know is available to your Google Sheet (with isAvailable set to "no"). Run the workflow manually to verify that all connections work and you receive notifications. Technical Details Core Nodes | Node | Purpose | Key Configuration | |------|---------|-------------------| | Schedule Trigger | Initiates the workflow on a recurring basis. | Set the desired interval (default: 30 minutes). | | Google Sheets | Reads the domain list and updates its status. | Sheet ID, Sheet Name, and column mapping. | | SplitInBatches | Processes each domain from the list individually. | Batch size is set to 1 to check domains sequentially. | | HTTP Request | Queries the Porkbun API for domain availability. | Porkbun API endpoint and credentials. | | IF | Routes the workflow based on the API response. | Checks if response.avail equals "yes". | | Gmail | Sends a detailed email alert for available domains. | Recipient email, subject, and HTML body. | | Discord | Sends a concise notification to a Discord channel. | Server ID, Channel ID, and message content. | | Wait | Prevents API rate-limiting. | Pauses for 10 seconds between checking domains. | Workflow Logic The workflow is triggered by a schedule, fetching a list of domains from a Google Sheet. It uses the SplitInBatches node to loop through each domain sequentially. For every domain, it calls the Porkbun API. An IF node checks the response; if available, it triggers notifications and updates the Google Sheet. A Wait node is crucial for respecting API rate limits, ensuring the workflow runs smoothly even with large domain lists. Customization Options Basic Adjustments: Check Frequency**: Modify the "Schedule Trigger" node to run more or less frequently. Notification Channels**: Remove the Gmail or Discord nodes, or add new ones like Slack or Telegram. Email Content**: Customize the HTML in the Gmail node to match your branding. Advanced Enhancements: Auto-Registration**: Extend the workflow to use Porkbun's domain registration API endpoint to automatically purchase the domain when it becomes available (use with caution). Advanced Filtering**: Add logic to only send notifications for domains with specific TLDs (.com, .io, etc.) or that are not marked as "premium." Tiered Notifications**: Set up different notification channels based on the perceived value of the domain, sending high-priority alerts via SMS for critical domains. Troubleshooting Common Issues: | Problem | Cause | Solution | |---------|-------|----------| | Workflow fails at HTTP Request node | Invalid Porkbun API credentials. | Use the separate "Validate API KEY" node to test your keys directly. Regenerate them if needed. | | No domains are processed | Google Sheets node configuration error or the sheet is empty. | Verify the Sheet ID is correct and that the isAvailable column contains "no" for the domains you want to check. | | Authentication errors | Google or Discord credentials have expired or lack permissions. | Re-authenticate the respective nodes in the n8n credentials panel. | Created by: Khaisa Studio Category: Monitoring Tags: Porkbun, Domain, Automation, Google Sheets, Notifications Need custom workflows? 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by Sameed
Who’s it for This workflow is perfect for recruiters, HR professionals, and startup founders who receive job applications by email and want to automate the process of parsing, matching, and evaluating resumes. If you want to save time by having candidate data and AI scores automatically organized in Google Sheets, this workflow is for you. How it works Monitors a Gmail inbox for new emails with resume attachments (PDF) Extracts the job title from the email subject and matches it against open positions stored in Airtable Uploads the resume file to a designated Google Drive folder for storage Builds a prompt with all relevant context and sends it, along with the resume file, to Gemini AI for analysis Gemini scores the candidate, extracts their name and phone, and provides a one-sentence explanation All results—including candidate info, AI score, feedback, and a download link for the resume—are appended as new rows in Google Sheets How to set up Create accounts and APIs: You’ll need Google (Gmail, Drive, Sheets), Airtable, and Gemini API access. Prepare your Airtable base: Add your job descriptions (title, code, description, skills, etc.)—these are matched against incoming applications. Prepare your Google Sheet: Create a spreadsheet to store applicant data and scores. Connect credentials in n8n: Set up Gmail, Google Drive, Google Sheets, Airtable, and Gemini API credentials in n8n’s credential manager. Import this workflow: Use the workflow import feature in n8n and connect your credentials to each node. Test: Send a test application email with a PDF resume to your connected Gmail—watch the data appear in Google Sheets! Requirements Google account with access to Gmail, Drive, and Sheets Airtable account for job data Gemini API key (no hardcoded keys—use n8n environment variables or credentials) n8n instance (cloud or self-hosted) How to customize the workflow Job matching logic**: Edit the EmailMatcher node to fine-tune how subjects are matched to job titles. Scoring criteria**: Adjust the prompt in PromptBuilder to change what Gemini evaluates. Supported file types**: Modify the ReadyAttachment node to accept other resume formats if needed. Sheet columns**: Edit the Google Sheets node to map new data points or change the output format. Notifications**: Add Slack or email nodes to notify you when a strong candidate is found.
by Rahul Joshi
Description Streamline client retention and contract renewals by automatically identifying expiring accounts, sending personalized reminder emails, and notifying account managers through Slack. This workflow ensures timely outreach, improved renewal rates, and centralized tracking — without manual effort. 🔁📧📅 What This Template Does Triggers daily at 9 AM to check for contracts expiring within 10 days. ⏰ Fetches all client records from GoHighLevel CRM. 🗂️ Validates client data to ensure required custom fields (Contract End Date & Account Manager) are available. 🧩 Filters expiring contracts and formats key client details (name, email, expiry date). 🔍 Sends renewal reminder emails to clients using Gmail. 💌 Notifies account managers in Slack with full client and renewal details. 💬 Generates a summary report of total reminders sent and execution status. 📋 Logs all reminders and timestamps into Google Sheets for performance tracking. 📊 Key Benefits ✅ Never miss renewal deadlines again ✅ Improve client retention and satisfaction ✅ Reduce manual tracking and follow-up work ✅ Keep account managers informed in real-time ✅ Maintain a clear audit trail of renewal activities Features Automated daily scheduling (9 AM trigger) GoHighLevel integration for client data Dynamic filtering for contracts expiring within 10 days Gmail email automation for personalized messages Slack notifications for internal visibility Google Sheets logging for analytics and reporting Requirements GoHighLevel account with access to Contacts API Custom fields: Contract End Date and Account Manager Gmail account with OAuth2 credentials Slack Bot token with chat:write permission Google Sheets OAuth2 credentials Target Audience Account management and client success teams Agencies handling multiple client contracts Businesses with recurring subscriptions or service renewals Teams wanting automated retention workflows Step-by-Step Setup Instructions Connect your GoHighLevel account and ensure contract-related custom fields are configured. Set your Slack channel ID where renewal notifications will be sent. Connect Gmail for automated client communication. Link Google Sheets for centralized renewal logging. Adjust reminder window in the code node (daysUntilExpiry <= 10) as per your needs. Test the workflow once manually, then enable scheduling for automation.
by David Olusola
⚠️ Crypto Price Threshold Alerts (Email/SMS/Telegram) 📌 Overview This workflow monitors Bitcoin (BTC) and Ethereum (ETH) prices in real-time using CoinGecko’s public API. It sends you an instant alert when a price crosses a custom threshold or when the 24-hour change moves beyond your defined % range. Perfect for traders who want automated price pings without constantly checking charts. ⚙️ How it works Schedule Trigger — runs every 10–15 minutes (configurable cron). HTTP Request (CoinGecko) — fetches live BTC/ETH prices + 24h % changes. Code Node — compares values against your target thresholds. IF Node — checks if any condition is true (cross up/down or big move). Notification Node — sends alert via Email, SMS (Twilio), or Telegram. Example Output: > “BTC broke $110,000 (+2.1% 24h)” 🛠 Setup Guide Set your thresholds in the Code node: BTC_UP / BTC_DOWN ETH_UP / ETH_DOWN MOVE_ABS (absolute % change to trigger) Choose delivery channel: Email Node → SMTP (Gmail, Outlook, etc.) Twilio Node → SMS alerts Telegram Node → DM or channel alerts Test Run: Execute once from the Code node. If thresholds are crossed, you’ll see a formatted alert payload. 🎛 Customization Adjust interval in the Schedule Trigger (default: every 15m). Add more cryptos by editing the CoinGecko API call. Use Slack or Discord instead of Email/Telegram for team alerts. Store last triggered state in Google Sheets/DB to avoid repeated pings. 👤 Author David Olusola For traning automation & 1:1 consulting: sales@daexai.com
by Oneclick AI Squad
This is a fully working n8n workflow that sends prescriptions to patients via email and WhatsApp when a doctor enters prescription data into a Google Sheet. 📋 Google Sheets Structure Main Sheet: Required columns: prescription_id (unique ID) patient_name patient_email patient_phone doctor_name prescription_date prescription_details dosage_instructions followup_date (optional) prescription_status (set to "new" for new prescriptions) Log Sheet: This will be auto-created with columns for tracking sent notifications. 🔧 Required Credentials Setup Google Sheets OAuth2 API: Connect your Google account SMTP Credentials: For email sending (Gmail, Outlook, etc.) WhatsApp API: Meta Business WhatsApp API credentials ⚙️ Configuration Steps Replace YOUR_GOOGLE_SHEET_ID with your actual Google Sheet ID Replace YOUR_WHATSAPP_PHONE_NUMBER_ID with your WhatsApp Business phone number ID Update the email sender address in the "Send Email" node Set up your credentials in n8n 🌟 Features Included Automated Trigger**: Monitors Google Sheet for new prescriptions Smart Filtering**: Only processes prescriptions with status "new" Rich Email Format**: Professional HTML email with prescription details WhatsApp Integration**: Sends formatted prescription text Comprehensive Logging**: Tracks all sent notifications Status Updates**: Marks prescriptions as "sent" after processing Error Handling**: Logs success/failure status for both channels 📱 Sample Data Format Add rows to your sheet like this: prescription_id: RX001 patient_name: John Doe patient_email: john@email.com patient_phone: +1234567890 doctor_name: Dr. Smith prescription_date: 2025-01-15 prescription_details: Amoxicillin 500mg capsules dosage_instructions: Take 1 capsule 3 times daily with food followup_date: 2025-01-22 prescription_status: new
by Jitesh Dugar
Transform guest complaints into loyalty opportunities - achieving 60% reduction in negative reviews, 85% faster service recovery, and turning dissatisfied guests into brand advocates through AI-powered sentiment analysis and automated response workflows. What This Workflow Does Revolutionizes hotel guest experience management with AI-driven sentiment analysis and proactive service recovery: 📝 Real-Time Feedback Capture - Jotform collects guest feedback during their stay, not after checkout 🤖 AI Sentiment Analysis - GPT-4 analyzes feedback across sentiment, urgency, and reputation impact 🚨 Instant Escalation - Critical issues immediately alert managers via email and Slack 💝 Personalized Recovery Offers - AI generates custom compensation (upgrades, discounts, credits) 📧 Automated Guest Communication - Sends recovery offers to unhappy guests, thank-you notes to satisfied ones 🎫 PMS Integration - Creates tickets in your Property Management System with full context ⭐ Review Generation - Encourages happy guests to share experiences on Google, TripAdvisor, Booking.com 📊 Complete Analytics - Tracks all feedback with sentiment scores for trend analysis 🎯 Proactive Prevention - Resolves issues before guests post negative online reviews 💰 ROI Tracking - Measures service recovery effectiveness and guest satisfaction improvements Key Features AI Guest Experience Analyst: GPT-4 analyzes feedback across 10+ dimensions including sentiment scoring, urgency classification, and reputation impact assessment Intelligent Routing: Automatically escalates critical/high-urgency issues to hotel management within minutes Personalized Service Recovery: AI generates tailored compensation offers based on issue severity, guest emotional state, and long-term value potential Multi-Channel Alerts: Instant notifications via Gmail and Slack ensure no critical feedback is missed Sentiment Scoring: 0-100 numerical sentiment scores enable data-driven trend analysis Category Detection: AI identifies issue categories (cleanliness, staff, amenities, noise, etc.) Reputation Impact Assessment: Predicts likelihood of negative online review (low/medium/high) Recovery Action Suggestions: AI recommends specific steps to resolve each guest concern Positive Feedback Amplification: Automatically requests online reviews from satisfied guests with incentivized return offers Property Management Integration: Creates structured tickets with all AI insights for staff follow-up Complete Audit Trail: Google Sheets logging enables performance tracking and staff training insights Cost Optimization: AI balances recovery offer value against long-term guest lifetime value Perfect For Boutique Hotels: 20-100 rooms requiring personalized guest experience management Hotel Chains: Multi-property operations standardizing service recovery protocols Resorts: Large properties with multiple service areas (spa, dining, housekeeping, etc.) Business Hotels: Corporate-focused properties prioritizing fast issue resolution Vacation Rentals: Airbnb management companies handling guest communications at scale Hostels: Budget accommodations building reputation through responsive service Extended Stay Properties: Long-term guest relationships requiring proactive care Conference Centers: Event venues managing large groups and critical feedback What You'll Need Required Integrations Jotform - Guest feedback form (free tier works) Create your form for free on Jotform using this link OpenAI API - GPT-4 for AI sentiment analysis (~$0.10-0.30 per feedback) Gmail - Automated notifications to managers and guests Google Sheets - Feedback database and analytics dashboard Optional Integrations Slack - Real-time alerts to management team Property Management System - Automated ticket creation (via API) Quick Start Import Template - Copy JSON and import into n8n Add OpenAI Credentials - Set up OpenAI API key (GPT-4 recommended for best results) Create Jotform Guest Feedback Form: Guest Name (q3_guestName) Guest Email (q4_guestEmail) Room Number (q5_roomNumber) Stay Dates (q6_stayDates) Overall Rating 1-5 (q7_overallRating) Feedback Comments (q8_feedbackComments) Service Area (q9_serviceArea) Create your form for free on Jotform using this link Configure Gmail - Add Gmail OAuth2 credentials (same credential for all 3 Gmail nodes) Setup Google Sheets: Create spreadsheet with "Guest Feedback Analytics" sheet Replace YOUR_GOOGLE_SHEET_ID in workflow Columns: timestamp, submissionId, guestName, roomNumber, stayDates, overallRating, serviceArea, sentiment, sentimentScore, urgencyLevel, keyIssues, categories, reputationImpact, recoveryOfferSent, feedbackText Configure PMS Integration (Optional): Add your PMS API endpoint URL Set up HTTP authentication credentials Setup Slack Webhook (Optional): Create Slack incoming webhook Replace YOUR/SLACK/WEBHOOK in workflow Customize Email Addresses: Update hotel.manager@yourhotel.com Update guestrelations@yourhotel.com Update review site URLs in positive feedback email Test Workflow - Submit test feedback through Jotform Go Live - Share feedback form link with guests (QR codes in rooms, checkout emails, etc.) Customization Options Service Recovery Tiers: Adjust compensation levels based on issue severity and guest value Auto-Approval Thresholds: Set limits for automatic vs manager-approved recovery offers AI Prompt Tuning: Customize sentiment analysis criteria for your brand standards Multi-Language Support: Add translation nodes for international guests Guest Segmentation: VIP guests receive premium recovery offers Timing Rules: Different workflows for during-stay vs post-checkout feedback Review Platform Integration: Direct API connections to TripAdvisor, Google Reviews Staff Training Alerts: Route feedback to specific department managers Competitive Analysis: Track sentiment vs competitor properties Seasonal Adjustments: Higher compensation during peak season to retain bookings Loyalty Program Integration: Award points as part of service recovery Follow-Up Sequences: Automated check-ins after issue resolution Expected Results 60% reduction in negative online reviews - Proactive resolution before guests post publicly 85% faster service recovery - Automated workflows vs manual monitoring 40% increase in repeat bookings - Effective recovery turns complainers into loyalists 95% manager response rate - Instant alerts ensure nothing falls through cracks 3x increase in positive review requests - Automated outreach to satisfied guests 75% cost reduction in review management - Less time fighting bad reviews 90% guest satisfaction with recovery - Personalized, immediate responses 100% feedback tracking - Complete audit trail for quality improvement 50% improvement in staff training - Data-driven insights on recurring issues 30% reduction in compensation costs - AI optimizes offer value vs actual resolution Use Cases Luxury Resort (200 Rooms) Scenario: Guest in oceanview suite complains about noisy pool area disrupting afternoon nap. Rating: 2/5. Feedback submitted at 2:47 PM during stay. AI Analysis: Sentiment = negative (35/100), Urgency = high, Impact = high reputation risk. Key issue: noise disturbance. Category: amenities/environment. Automated Response: 2:48 PM: Hotel manager receives urgent email and Slack alert 2:49 PM: AI generates recovery offer: complimentary room upgrade to quiet wing + $100 spa credit + late checkout 2:52 PM: Manager reviews AI recommendation, approves via phone 3:00 PM: Guest receives personalized apology email with upgrade offer 3:15 PM: Guest accepts, moves to premium suite 3:45 PM: Manager personally visits guest with welcome amenity Next Day: Guest updates internal feedback to 5/5 Result: $200 recovery cost prevents $5,000+ in future lost bookings from negative review. Guest becomes repeat customer, books 3 more stays over next year. Business Hotel (80 Rooms) Scenario: Corporate traveler rates stay 5/5, praises front desk staff professionalism and fast WiFi. Checkout feedback at 7:23 AM. AI Analysis: Sentiment = positive (92/100), Urgency = low, Categories: staff excellence, amenities. Automated Response: 7:24 AM: Thank you email sent with review request links (Google, TripAdvisor) Email includes 15% discount code for next stay (WELCOME-BACK-2025) Review links customized with pre-filled star ratings 11:30 AM: Guest posts 5-star Google review mentioning staff by name Result: Positive review attracts 12 new corporate bookings over next quarter. Guest becomes regular weekly visitor. Zero manual effort required. Budget Hotel Chain (150 Locations) Scenario: Guest complains about unclean bathroom, slow check-in, and uncomfortable bed. Rating: 1/5. Multiple critical issues. AI Analysis: Sentiment = negative (15/100), Urgency = CRITICAL, Impact = very high reputation risk. Categories: cleanliness, operations, room quality. Automated Response: Instant email to hotel manager + regional director Slack alert to #operations-critical channel AI recommends: full refund + 2 free night voucher + immediate room change PMS ticket created for housekeeping inspection Guest receives apology within 10 minutes Manager calls guest personally within 20 minutes Room changed immediately, housekeeping staff retrained Result: Guest accepts recovery offer, doesn't post negative review. Systemic cleaning issue identified and corrected across all 150 locations, preventing 1,000+ potential complaints. Boutique B&B (12 Rooms) Scenario: Couple celebrating anniversary rates stay 4/5, mentions minor issue with breakfast timing but overall lovely experience. AI Analysis: Sentiment = positive (78/100), Urgency = low, Issue noted: breakfast service timing, Categories: dining, overall satisfaction. Automated Response: Thank you email with review requests AI suggests small gesture: complimentary breakfast on next visit Owner receives gentle notification about breakfast timing feedback (not urgent) Follow-up email includes personalized anniversary wishes Result: Couple posts glowing TripAdvisor review, becomes annual anniversary tradition. Breakfast timing adjusted based on feedback trend analysis. Personal touch strengthens brand loyalty. Resort During Peak Season Scenario: Family of 4 complains about overbooked pool area, long wait times at restaurant, stressed staff. Rating: 3/5. Peak season capacity issues. AI Analysis: Sentiment = neutral-negative (45/100), Urgency = medium, Categories: capacity management, staffing, amenities access. AI notes this is systemic, not individual service failure. Automated Response: Manager receives analysis highlighting capacity issues vs service quality AI recommends: restaurant priority reservations rest of stay + late checkout + $150 resort credit Recovery offer emphasizes "peak season challenges we're addressing" Guest receives empathetic communication acknowledging valid concerns Operations team receives alert about capacity strain for staffing adjustments Result: Family accepts offer, enjoys remaining days. Operations team adds staff for following weekend. Feedback trends identify need for reservation system improvements, implemented before next season. Pro Tips QR Code Distribution: Place QR codes linking to feedback form in every room, at checkout desk, and in common areas Timing Optimization: Send feedback requests on Day 2 of stay (not checkout) to enable real-time recovery Manager Training: Educate managers on interpreting AI sentiment scores and urgency classifications Recovery Budgets: Set department budgets for service recovery offers ($50-500 per incident) Review Monitoring: Cross-reference internal feedback with online reviews to measure prevention effectiveness Staff Recognition: Share positive feedback with staff members mentioned by name Trend Analysis: Weekly reviews of Google Sheets data to identify recurring issues Seasonal Patterns: Track sentiment scores across different seasons and events Competitor Benchmarking: Compare your sentiment scores to industry averages Follow-Up Surveys: Send 30-day post-stay surveys to guests who received service recovery Loyalty Integration: Higher-tier loyalty members receive premium recovery offers Language Customization: For international properties, adjust AI prompts for cultural norms Response Time Tracking: Monitor average time from feedback to resolution Cost-Benefit Analysis: Track recovery offer costs vs prevented negative review impact Success Metrics Dashboard: Create Google Data Studio dashboard from Sheets data Learning Resources This workflow demonstrates advanced automation: AI Agents with Multi-Dimensional Analysis: Sentiment scoring, urgency classification, impact assessment, and recovery recommendations Conditional Logic Routing: Different workflows for positive, negative, and critical feedback Real-Time Alerting: Multi-channel notifications (email + Slack) for urgent issues Dynamic Content Generation: AI creates personalized emails based on sentiment analysis API Integration Patterns: Property Management System ticket creation via HTTP requests Data Aggregation: Complete feedback logging for business intelligence and reporting Natural Language Processing: AI extracts key issues, categories, and emotional tone from free-text feedback Decision Support Systems: Provides managers with AI recommendations and key considerations Approval Workflows: Optional manager approval step for high-value recovery offers Guest Communication Templates: Professional, empathetic email templates for all scenarios Business Impact Metrics Review Management ROI: Compare cost of service recovery vs reputation management services (typically $500-2000/month) Guest Lifetime Value: Track repeat booking rates for guests who received service recovery vs those who didn't Online Reputation Score: Monitor aggregate rating improvements on Google, TripAdvisor, Booking.com Staff Efficiency: Calculate hours saved vs manual feedback monitoring and response Revenue Protection: Estimate revenue preserved by preventing negative reviews (avg negative review costs hotel $2,000-5,000 in lost bookings) Recovery Success Rate: Percentage of negative feedback resolved without resulting in online reviews Response Time: Average minutes from feedback submission to initial response First-Contact Resolution: Percentage of issues resolved without multiple interactions Training ROI: Reduction in recurring issues after staff training based on feedback trends Competitive Positioning: Sentiment score comparison vs competitor properties Ready to Transform Your Guest Experience? Import this template and turn guest feedback into your competitive advantage with AI-powered insights and automation! 🏨✨ Questions or customization? The workflow includes detailed sticky notes explaining each AI analysis component and decision logic. Template Compatibility ✅ n8n version 1.0+ ✅ Works with n8n Cloud and Self-Hosted ✅ No coding required for basic setup ✅ Fully customizable for advanced users
by Sergio Afonso
Email Automation Workflow Template This n8n template demonstrates how to automate email classification, labeling, draft generation, and logging using Gmail, OpenAI, and Google Sheets. Use cases include customer support management, sales inquiry handling, and keeping track of incoming emails efficiently in a structured way. Good to know Gmail OAuth2 credentials are required for sending, labeling, and drafting emails. OpenAI credentials are needed for generating draft responses. Google Sheets must have Logs and Errors sheets with the correct columns (Original Email, Decision, Output Email for Logs; Node with Error, Error Message, Time, Execution ID, Workflow ID for Errors). The workflow is designed to handle multiple emails simultaneously and continues even if a node fails. How it works The workflow is triggered by new emails in Gmail. Emails are classified into categories: Support, Sales, Complaints, Information, or Other. Based on the classification: Support and Sales emails → Draft response generated with OpenAI and labeled in Gmail. Complaints, Information, and Other → Emails labeled accordingly. All processed emails and generated outputs are logged in Google Sheets (Logs). Any workflow errors are captured in the Errors sheet for debugging. How to use Test with a sample email to confirm classification, draft generation, labeling, and logging work correctly. Update Google Sheets nodes with your document ID and sheet names. Requirements Gmail account with OAuth2 credentials OpenAI account for draft generation Google Sheets account for logging Customizing this workflow Add new email categories or refine existing ones. Adjust draft responses or templates for Support/Sales. Integrate with other apps or systems for more advanced automation (e.g., CRM updates, notifications).
by SIENNA
Automated AWS S3 / Azure / Google to local MinIO Object Backup with Scheduling What this workflow does ? This workflow performs automated, periodic backups of objects from an AWS S3 bucket, an Azure Container or a Google Storage Space to a MinIO S3 bucket running locally or on a dedicated container/VM/server. It can also work if the MinIO bucket is running on a remote cloud provider's infrastructure; you just need to change the URL and keys. Who's this intended for ? Storage administrators, cloud architects, or DevOps who need a simple and scalable solution for retrieving data from AWS, Azure or GCP. How it works This workflow uses the official AWS S3 API to list and download objects from a specific bucket, or the Azure BLOB one, then send them to MinIO using their version of the S3 API. Requirements None, just a source Bucket on your Cloud Storage Provider and a destination one on MinIO. You'll also need to get MinIO running. You're using Proxmox VE ? Create a MinIO LXC Container : https://community-scripts.github.io/ProxmoxVE/scripts?id=minio Need a Backup from another Cloud Storage Provider ? Need automated backup from another Cloud Storage Provider ? $\mapsto$ Check out our templates, we've done it with AWS, Azure, and GCP, and we even have a version for FTP/SFTP servers! For a dedicated source Cloud Storage Provider, please contact us ! $\odot$ These workflow can be integrated to bigger ones and modified to best suit your needs ! You can, for example, replace the MinIO node to another S3 Bucket from another Cloud Storage Provider (Backblaze, Wasabi, Scaleway, OVH, ...)