Workflow Templates

🧩 What this template does This workflow builds a 120-minute local date course around your starting point by querying Google Places for nearby spots, selecting the top candidates, fetching real-time weather data, letting an AI generate a matching emoji, and drafting a friendly itinerary summary with an LLM in both English and Japanese. It then posts the full bilingual plan with a walking route link and weather emoji to Slack. 👥 Who it’s for Makers and teams who want a plug-and-play bilingual local itinerary generator with weather awareness — no custom code required. ⚙️ How it works Trigger – Manual (or schedule/webhook). Discovery – Google Places nearby search within a configurable radius. Selection – Rank by rating and pick the top 3. Weather – Fetch current weather (via OpenWeatherMap). Emoji – Use an AI model to match the weather with an emoji 🌤️. Planning – An LLM writes the itinerary in Markdown (JP + EN). Route – Compose a Google Maps walking route URL. Share – Post the bilingual itinerary, route link, and weather emoji to Slack. 🧰 Requirements n8n (Cloud or self-hosted) Google Maps Platform (Places API) OpenWeatherMap API key Slack Bot (chat:write) LLM provider (e.g., OpenRouter or DeepL for translation) 🚀 Setup (quick) Open Set → Fields: Config and fill in coords/radius/time limit. Connect Credentials for Google, OpenWeatherMap, Slack, and your LLM. Test the workflow and confirm the bilingual plan + weather emoji appear in Slack. 🛠 Customize Adjust ranking filters (type, min rating). Modify translation settings (target language or tone). Change output layout (side-by-side vs separated). Tune emoji logic or travel mode. Add error handling, retries, or logging for production use.

This template allows you to automatically process scanned invoices from Google Drive, extract key information using AI, and organize the data in Google Sheets with email notifications. Overview This comprehensive workflow automates the entire invoice processing pipeline by monitoring a Google Drive folder for new invoice uploads, intelligently processing both PDF and image formats, extracting structured data using AI-powered information extraction, and automatically organizing the results in a Google Sheet while sending email notifications. The system handles various file formats and includes smart fallback mechanisms for challenging documents like CamScanner PDFs. How it Works File Monitoring: The workflow continuously monitors a specified Google Drive folder for new invoice files using a trigger that checks every minute for newly created files. File Processing: When new files are detected, the system downloads them and determines the file type (PDF or image) using a smart switch mechanism. Text Extraction: For PDFs: Attempts direct text extraction first For Images: Uses OCR.Space API for optical character recognition For problematic PDFs (like CamScanner): Falls back to OCR processing AI Information Extraction: Processes the extracted text through OpenAI's language model to identify and extract key invoice information including: Company name Total amount Currency Invoice date Invoice number Data Storage: Automatically appends the extracted information to a Google Sheet with links back to the original scanned documents. Notification: Sends formatted email notifications via Mailgun when new invoices are processed, including an HTML table summary. How to Use Setup Google Drive: Create a dedicated folder in Google Drive for invoice uploads and note the folder ID. Configure Credentials: Set up the following credential connections in n8n: Google Drive OAuth2 API Google Sheets OAuth2 API OpenAI API OCR.Space API Mailgun API Update Configuration: Replace the Google Drive folder ID with your target folder Replace the Google Sheets document ID with your destination spreadsheet Update email addresses in the Mailgun node Test the Workflow: Use the manual trigger to process existing invoices in your folder for initial testing. Activate: Enable the workflow to start automatic monitoring of new invoice uploads. Requirements External APIs: OpenAI API** - For AI-powered information extraction from invoice text OCR.Space API** - For optical character recognition of image-based invoices Mailgun API** - For sending email notifications Google Services: Google Drive API** - For monitoring folders and downloading files Google Sheets API** - For storing extracted invoice data Setup Prerequisites: Google Drive folder dedicated to invoice uploads Google Sheet with appropriate column headers (date, company name, total, currency, invoice number, scan link, etc.) Email domain configured with Mailgun (or alternative email service) OCR.Space account for image processing capabilities: https://ocr.space/OCRAPI Recommended Settings: Set the Google Drive trigger to check for new files every minute Ensure sufficient API rate limits for your expected invoice volume Configure proper error handling for failed OCR or AI extraction attempts

LinkedIn Lead Enrichment & Cold-Email Sender with Apify + OpenRouter + Gmail Most teams spend hours hunting LinkedIn profiles, enriching company data, and writing cold emails manually. This workflow does it all automatically: lead enrichment, email generation, and sending — directly from a simple Google Sheet. Benefits Find verified LinkedIn profiles with Apify scrapers Enrich company data automatically from LinkedIn Generate fully personalized cold emails with Claude 3.7 Sonnet (OpenRouter) Send emails directly through Gmail Batch-safe with error handling so the workflow never stalls Log all results and errors back to Google Sheets How It Works Add leads (First Name, Last Name, Company, Email) to Google Sheets Loop through leads in batches to avoid rate limits Search Google for “{First} {Last} {Company} site:linkedin.com” and keep only profile links Fetch person details via Apify linkedin-profile-detail (continue even if some fail) Enrich company data: use current_company_url or search for company page if missing Fetch LinkedIn company details via Apify linkedin-company-detail Generate subject + email body with Claude 3.7 Sonnet (validated with structured JSON output) Send email with Gmail OAuth2 and log status to Google Sheets Who Is This For B2B founders doing manual outbound SDR teams building lead lists Lead-gen and growth agencies wanting scalable outreach Setup Connect Google Sheets (select your leads sheet) Add Apify token for all scrapers (rag-web-browser, linkedin-profile-detail, linkedin-company-detail) Enter OpenRouter API key (Claude 3.7 Sonnet or preferred model) Connect Gmail via OAuth2 Configure sender_name, signature, and domain settings Set batch size, retries, and rate-limit thresholds ROI & Monetization Save 5–8 hours per week on research and copywriting Offer as a $1k–$3k/month outreach automation for clients Upsell deliverability monitoring and sequence testing for premium retainers Strategy Insights In the full walkthrough, I show how to: Build this workflow step by step with resilient error handling (alwaysOutputData, continue on error) Pitch it as a “Done-For-You Personalized Outreach System” Automate outreach to agencies, consultants, and SaaS teams that need enrichment Turn this into recurring revenue with retainers Check Out My Channel For more advanced AI automation systems that generate real business results, check out my YouTube channel where I share the exact strategies I use to build automation agencies, sell high-value services, and scale to $20k+ monthly revenue.

Local Lead Finder + Cold Email Sender (Form → Apify → AI → Gmail + Google Sheets) Fill a short form with business type, location, and how many leads you want. This workflow finds local businesses, grabs a valid email from each website, writes a cold email in your chosen style, sends it, and logs everything to Google Sheets. Benefits Simple form input (business type, location, lead count, email style) Finds local businesses with Apify and filters only those with a website Scrapes one best email address from each site Writes cold emails with AI (style: Friendly / Professional / Simple) Sends via Gmail and updates Google Sheets with status + send time How It Works Form Submit: Enter Business Type, Location, Lead Number, Email Style. Find Leads (Apify): Search places in the target location (up to your lead count). Filter: Keep only results that include a website. Extract Email (AI): Visit the website and pull one valid email address. Save Lead (Sheets): Add company name, category, website, phone, address, email. Generate Email (AI): Create subject + body using your selected style. Send (Gmail): Email the scraped address; retry-safe. Log Result (Sheets): Mark “Cold Mail Status = ✅” and add send time. Batching/Wait: Process leads one by one with a short wait to avoid limits. Who Is This For Agencies doing local outreach Freelancers offering lead gen services SMBs testing cold email in a city or niche Setup Connect the built-in Form Trigger (use provided fields) Add Apify actor endpoint + token Add Google Gemini (for email extraction) and OpenAI (for email writing) keys Connect Gmail OAuth2 to send emails Connect Google Sheets (Spreadsheet ID + Sheet1) ROI & Monetization Spin up targeted campaigns in minutes (no manual research) Sell as a local lead-gen + outreach package ($500–$2k/campaign) Reuse the form for any niche and city to scale quickly Strategy Insights In the full walkthrough, I show how to: Tune the Apify search for better niches and categories Improve email extraction prompts for higher-quality addresses Adjust templates for short, compliant cold emails Add fallbacks (no email → skip or save for manual review) Check Out My Channel For more AI outreach workflows that get real results, check out my YouTube channel where I share the exact setups I use to win clients and scale to $20k+ monthly revenue.

🎯 Smart Job Hunter Pro - AI-Powered Multi-Platform Job Automation Transform your job search with this comprehensive n8n workflow that automatically searches, analyzes, and applies to relevant positions across multiple job platforms. Perfect for developers, engineers, and tech professionals looking to streamline their job hunting process. ✨ Key Features 🔄 Multi-Platform Job Search**: Simultaneously searches Jooble, JobStreet, Indeed, and WhatJobs APIs 🤖 AI-Powered Job Analysis**: Uses Google Gemini AI to analyze job compatibility and generate tailored cover letters 📊 Smart Scoring System**: Automatically scores job matches based on your skills and requirements 📝 Auto-Apply Threshold**: Only applies to jobs above your specified compatibility score 📋 Notion Integration**: Automatically tracks applications in organized Notion database 💬 Telegram Notifications**: Real-time alerts for high-match job opportunities ☁️ Google Drive Storage**: Saves personalized cover letters for each application ⚠️ Error Handling**: Comprehensive error tracking with Telegram notifications ⏰ Automated Scheduling**: Runs every 8 hours to find fresh opportunities 🛠 What This Workflow Does Scheduled Search: Automatically searches multiple job platforms every 8 hours Data Normalization: Standardizes job data from different API sources AI Analysis: Gemini AI evaluates each job posting against your skills profile Smart Filtering: Only processes jobs above your compatibility threshold (default: 75%) Application Tracking: Creates detailed records in Notion with match scores and status Instant Alerts: Sends Telegram notifications for promising opportunities Cover Letter Generation: AI creates personalized cover letters for each position Document Management: Automatically saves all cover letters to Google Drive 🔧 Required Integrations Job APIs**: Jooble API, WhatJobs API (JobStreet & Indeed use web scraping) AI Service**: Google Gemini API for job analysis Productivity**: Notion database for application tracking Communication**: Telegram bot for notifications Storage**: Google Drive for cover letter management 💡 Perfect For Software Developers** seeking JavaScript, React, Node.js positions Full-Stack Engineers** wanting automated job discovery Tech Professionals** needing organized application tracking Remote Workers** searching across multiple platforms Career Changers** looking for systematic job hunting 🎛 Customizable Variables Job Keywords**: Define your target roles and skills Location & Radius**: Set geographic search parameters Auto-Apply Threshold**: Control compatibility score requirements Results Limit**: Adjust number of jobs per platform Schedule Frequency**: Modify search intervals 📈 Benefits Save 10+ hours weekly** on manual job searching Never miss opportunities** with automated monitoring Professional application tracking** with detailed analytics Personalized cover letters** for every application Instant notifications** for high-match positions Complete audit trail** of all job search activities 🚀 Getting Started Import the workflow to your n8n instance Configure API credentials for all job platforms Set up Notion database with provided template structure Create Telegram bot and Google Drive folder Customize job search parameters for your profile Activate workflow and start receiving opportunities! 📝 Additional Notes Uses placeholder credentials for security ({{PLACEHOLDER_API_KEY}}) Comprehensive error handling prevents workflow failures Includes detailed setup instructions via sticky notes Optimized for Indonesian job market (JobStreet.co.id) Easily adaptable for other regions and job types Perfect for developers, engineers, and automation enthusiasts who want to leverage AI and n8n's power to dominate their job search process! 🚀

How it works This AI Customer Success Risk Prediction workflow revolutionizes customer retention by predicting churn risk 30-90 days before it happens. Here's the high-level flow: Daily Data Collection → AI Multi-Signal Analysis → Risk Scoring & Prediction → Smart Risk Routing → AI-Generated Personalized Interventions → CRM Updates & Team Alerts The system automatically gathers data from your product analytics, support system, billing platform, and email tools, then uses GPT-4 to analyze patterns and predict which customers are at risk. It creates personalized intervention strategies and routes them based on urgency level. Set up steps Time to set up: Approximately 45 minutes Prerequisites: Active accounts with your analytics platform, support system, billing provider, CRM, and AI provider Step 1: Import & Configure Workflow (5 minutes) Import the workflow JSON into your n8n instance Review the 3 comprehensive sticky notes for context Understand the AI analysis logic and intervention strategies Step 2: Set Environment Variables (10 minutes) Configure these critical variables: ANALYTICS_API_URL and ANALYTICS_API_KEY HIGH_RISK_SLACK_CHANNEL (for critical alerts) CS_TEAM_EMAIL (intervention sender) CRM_BASE_URL and CALENDAR_BOOKING_URL Step 3: Configure API Credentials (20 minutes) Set up secure credential connections for: OpenAI/Anthropic API (AI analysis engine) Analytics platform (Mixpanel/Amplitude/GA) Support system (Zendesk/Intercom) Billing platform (Stripe/Chargebee) HubSpot CRM (risk data storage) Slack API (team notifications) SMTP/SendGrid (email delivery) Step 4: Customize AI Prompts & Risk Thresholds (8 minutes) Review and adjust the AI analysis prompts for your business Modify risk score thresholds (Critical 90+, High 70-89, Medium 40-69) Customize intervention email templates and tone Set your specific risk factors (usage patterns, support indicators) Step 5: Test & Activate (2 minutes) Run a test execution with sample customer data Verify AI analysis generates appropriate risk scores Check that interventions are routed correctly Activate the daily cron schedule

This automated n8n workflow streamlines the process of receiving, processing, and delivering patient-friendly lab reports with precautionary advice. 🏆 Minimal But Complete Design: Node Flow: 📧 Email Trigger → Monitors inbox for lab reports 📄 PDF Extract → Processes attachments & extracts content 🤖 AI Simplify → Converts medical jargon to simple language ✨ Format Response → Creates beautiful patient-friendly layout 📤 Send Report → Delivers simplified report via email 🚀 Key Features: ✅ Automatic Processing: Monitors email for lab report PDFs Extracts content from attachments No manual intervention needed ✅ AI-Powered Simplification: Converts complex medical terms to plain English Explains what each test result means Adds ✅/⚠️ indicators for normal/abnormal results ✅ Patient-Friendly Output: Professional HTML email formatting Clear sections: Summary, Results, Precautions Includes next steps and follow-up advice ✅ Built-in Safety: Always includes medical disclaimers Encourages consulting healthcare providers Handles edge cases with fallbacks 🛠️ Setup Requirements: APIs Needed: IMAP Email** (Gmail, Outlook, etc.) Ollama AI Model** (Local medical AI) SMTP Email** (Sending service) Quick Configuration: Import the JSON into n8n Set up email credentials (IMAP + SMTP) Configure Ollama medical model Test with a sample lab report 📋 Sample Output: 🩺 Your Lab Report - Simplified ✅ CHOLESTEROL: 180 mg/dL - Normal! Good job maintaining healthy levels. ⚠️ BLOOD SUGAR: 126 mg/dL - Slightly high Normal is under 100. Consider reducing sugar intake. 🔬 VITAMIN D: 25 ng/mL - Low You may need supplements. Ask your doctor. 📋 PRECAUTIONS: • Eat more fruits and vegetables • Exercise 30 minutes daily • Schedule follow-up in 3 months • Watch for: excessive thirst, fatigue

Introduction Automatically imports Excel schedules from Google Drive, validates data with AI, syncs to Google Calendar, and emails smart summaries. Ideal for educators, managers, and administrators handling recurring academic or project schedules. How It Works Trigger → Download Excel → Filter events → Dual AI analysis (OpenAI + Parser) → Merge insights → Enrich data → Create/Update Google Calendar events → Generate and email AI summary. Workflow Template Trigger → Download Excel → Filter Events → AI Analysis → Merge Insights → Enrich Data → Create/Update Calendar → AI Summary → Email Report Workflow Steps Trigger: Runs on schedule to detect new files. Read Excel: Converts spreadsheet data to JSON. Filter Events: Removes invalid entries. AI Context Analysis: Understands event links and conflicts. Structured Parser: Formats AI output for consistency. Merge Insights: Combines multi-AI results. Enrich Data: Prepares Google Calendar-ready events. Calendar Actions: Creates or updates events. AI Summary: Generates executive overview. Email Delivery: Sends formatted summary report. Setup Google Drive: Connect OAuth2 → get file ID. Calendar: Enable API → authorize in n8n. OpenAI: Add API key → select GPT model. Email (Gmail/SMTP): Configure sender and recipients. Trigger: Set timezone and frequency. Excel Format: Include Name, Date, Time, Location, Staff, etc.

📌 Description Automate your course enrollment process with this workflow that handles student submissions, evaluates eligibility, and sends acceptance or rejection emails — all without manual effort. It's perfect for instructors managing multi-week technical courses who want to streamline onboarding and communication. ⚙️ How It Works 📥 Captures student registration data via an n8n Form Trigger 📊 Evaluates responses (e.g., checks programming background & availability) 📤 Sends automated, personalized acceptance or rejection emails based on criteria 📝 Logs submission outcomes for review 📨 Optionally stores records in Google Sheets, Airtable, or a database (customizable) 🛠️ Set Up Steps 🔗 Connect Gmail (or your preferred email service) ✅ Add your course filtering logic to the decision node (simple JSON rules) 📄 Customize email templates (plain or HTML) 🧪 Test the flow with sample submissions ⏱️ Setup Time: 10–15 minutes (depending on integrations) 🔐 Notes No hardcoded API keys used – all credentials must be set up using the n8n credential system Sticky notes inside the workflow provide detailed setup and customization tips Easily extendable to add payment links, WhatsApp alerts, or CRM integration

Description This automation streamlines client onboarding by instantly processing a submitted form, extracting key details from an uploaded proposal, and using GPT-4 to generate a full onboarding task list. It then sets up the client workspace across Google Drive, ClickUp, and Slack, and sends a personalized welcome email completing in under a minute from submission. Setup Steps Connect your Google Drive, ClickUp, Slack, Gmail, and OpenAI accounts. Customize the form fields and system prompt to match your business. Test the workflow with a sample client submission to confirm all outputs. Estimated Setup Time: \~30–45 minutes for a first-time user familiar with n8n integrations.

This workflow automates the process of monitoring multiple RSS feeds, intelligently identifying new articles, maintaining a record of processed content, and delivering timely notifications to a designated Slack channel. It leverages AI to ensure only truly new and relevant articles are dispatched, preventing duplicate alerts and information overload. 🚀 Main Use Cases Automated News Aggregation:** Continuously monitor industry news, competitor updates, or specific topics from various RSS feeds. 📈 Content Curation:** Filter and deliver only new, unprocessed articles to a team or personal Slack channel. 🎯 Duplicate Prevention:** Maintain a persistent record of seen articles to avoid redundant notifications. 🛡️ Enhanced Information Delivery:** Provide a streamlined and intelligent way to stay updated without manual checking. 📧 How it works The workflow operates in distinct, interconnected phases to ensure efficient and intelligent article delivery: 1. RSS Feed Data Acquisition 📥 Initiation:** The workflow is manually triggered to begin the process. 🖱️ RSS Link Retrieval:** It connects to a Baserow database to fetch a list of configured RSS feed URLs. 🔗 Individual Feed Processing:** Each RSS feed URL is then processed independently. 🔄 Content Fetching & Parsing:** An HTTP Request node downloads the raw XML content of each RSS feed, which is then parsed into a structured JSON format for easy manipulation. 📄➡️🌳 2. Historical Data Management 📚 Seen Articles Retrieval:** Concurrently, the workflow queries another Baserow table to retrieve a comprehensive list of article GUIDs or links that have been previously processed and notified. This forms the basis for duplicate detection. 🔍 3. Intelligent Article Filtering with AI 🧠 Data Structuring for AI:** A Code node prepares the newly fetched articles and the list of already-seen articles into a specific JSON structure required by the AI Agent. 🏗️ AI-Powered Filtering:** An AI Agent, powered by an OpenAI Chat Model and supported by a Simple Memory component, receives this structured data. It is precisely prompted to compare the new articles against the historical "seen" list and return only those articles that are genuinely new and unprocessed. 🤖 Output Validation:** A Structured Output Parser ensures that the AI Agent's response adheres to a predefined JSON schema, guaranteeing data integrity for subsequent steps. ✅ JSON Cleaning:** A final Code node takes the AI's raw JSON string output, parses it, and formats it into individual n8n items, ready for notification and storage. 🧹 4. Notification & Record Keeping 🔔 Persistent Record:** For each newly identified article, its link is saved to the Baserow "seen products" table, marking it as processed and preventing future duplicate notifications. 💾 Slack Notification:** The details of the new article (title, content, link) are then formatted and sent as a rich message to a specified Slack channel, providing real-time updates. 💬 Summary Flow: Manual Trigger → RSS Link Retrieval (Baserow) → HTTP Request → XML Parsing | Seen Articles Retrieval (Baserow) → Data Structuring (Code) → AI-Powered Filtering (AI Agent, OpenAI, Memory, Parser) → JSON Cleaning (Code) → Save Seen Articles (Baserow) → Slack Notification 🎉 Benefits: Fully Automated:** Eliminates manual checking of RSS feeds and Slack notifications. ⏱️ Intelligent Filtering:** Leverages AI to accurately identify and deliver only new content, avoiding duplicates. 💡 Centralized Data Management:** Utilizes Baserow for robust storage of RSS feed configurations and processed article history. 🗄️ Real-time Alerts:** Delivers timely updates directly to your team or personal Slack channel. ⚡ Scalable & Customizable:** Easily adaptable to monitor various RSS feeds and integrate with different Baserow tables and Slack channels. ⚙️ Setup Requirements: Baserow API Key:** Required for accessing and updating your Baserow databases. 🔑 OpenAI API Key:** Necessary for the AI Agent to function. 🤖 Slack Credentials:** Either a Slack OAuth token (recommended for full features) or a Webhook URL for sending messages. 🗣️ Baserow Table Configuration:** A table with an rssLink column to store your RSS feed URLs. A table with a Nom column to store the links of processed articles. For any questions or further assistance, feel free to connect with me on LinkedIn: https://www.linkedin.com/in/daniel-shashko/

How it works This workflow automatically monitors multiple websites using AI-powered analysis and MCP (Model Context Protocol) tools. The system runs scheduled checks, analyzes website performance and security using browser-tools-mcp and mcp-recon servers, categorizes issues by severity (critical, warning, info), sends appropriate alerts through Slack and email, and logs all findings to Google Sheets for historical tracking and trend analysis. Who is this for DevOps engineers, website administrators, system monitors, digital agencies, and technical teams responsible for maintaining multiple websites. Perfect for organizations that need automated website health monitoring with intelligent analysis, comprehensive security checks, and immediate alerting for critical issues. Requirements MCP Servers**: Browser-tools-mcp and mcp-recon servers running locally or remotely OpenAI API**: API key for AI-powered website analysis Google Sheets**: Spreadsheet with "Websites" and "Monitoring Log" sheets Slack Integration**: Slack workspace with webhook or bot token for alerts Email Configuration**: SMTP settings for critical email notifications Environment Variables**: Secure storage for all credentials and endpoints How to set up Install and Configure MCP Servers - Set up browser-tools-mcp and mcp-recon servers, configure endpoints in environment variables (MCP_BROWSER_TOOLS_URL, MCP_RECON_URL) Prepare Google Sheets Integration - Create spreadsheet with "Websites" sheet (URL column) and "Monitoring Log" sheet, set GOOGLE_SHEET_ID environment variable Configure Notification Systems - Set up Slack webhook/bot and email SMTP settings, configure SLACK_CHANNEL, ALERT_EMAIL, FROM_EMAIL variables Customize Monitoring Parameters - Update Configuration Variables node with your monitoring thresholds, batch sizes, and website lists How to customize the workflow Modify the Configuration Variables node to adjust monitoring thresholds (response times, performance scores), change batch processing sizes, update notification preferences, or add additional websites to monitor. Customize alert severity rules in the Alert Severity Router and modify notification templates in the Slack and Email nodes.