Workflow Templates

This n8n workflow demonstrates how to transform natural language date and time expressions into structured data with 96%+ accuracy. Parse complex expressions like "early next July", "2 weeks after project launch", or "end of Q3" into precise datetime objects with confidence scoring, timezone intelligence, and business rules validation for any automation workflow. Good to know Achieves 96%+ accuracy on complex natural language date expressions At time of writing, this is the most advanced open-source date parser available Includes AI learning that improves over time with user corrections Supports 6 languages with auto-detection (English, Spanish, French, German, Italian, Portuguese) Sub-millisecond response times with intelligent caching Enterprise-grade with business intelligence and timezone handling How it works Natural Language Input**: Receives date expressions via webhook, form, email, or chat AI-Powered Parsing**: Your world-class date parser processes the text through: 50+ custom rule patterns for complex expressions Multi-language auto-detection and smart translation Confidence scoring (0.0-1.0) for AI decision-making Ambiguity detection with helpful suggestions Business Intelligence**: Applies enterprise rules automatically: Holiday calendar awareness (US + International) Working hours validation and warnings Business day auto-adjustment Timezone normalization (IANA format) Smart Scheduling**: Creates calendar events with: Structured datetime objects (start/end times) Confidence metadata for workflow decisions Alternative interpretations for ambiguous inputs Rich context for follow-up actions Integration Ready**: Outputs connect seamlessly to: Google Calendar, Outlook, Apple Calendar CRM systems (HubSpot, Salesforce) Project management tools (Notion, Asana) Communication platforms (Slack, Teams) How to use The webhook trigger receives natural language date requests from any source Replace the MCP server URL with your deployed date parser endpoint Configure timezone preferences for your organization Customize business rules (working hours, holidays) in the parser settings Connect calendar integration nodes for automatic event creation Add notification workflows for scheduling confirmations Use Cases Meeting Scheduling**: "Schedule our quarterly review for early Q3" Project Management**: "Set deadline 2 weeks after product launch" Event Planning**: "Book venue for the weekend before Labor Day" Personal Assistant**: "Remind me about dentist appointment next Tuesday morning" International Teams**: "Team standup tomorrow morning" (auto-timezone conversion) Seasonal Planning**: "Launch campaign in late spring 2025" Requirements Natural Language Date Parser MCP server (provided code) Webhook endpoint or form trigger Calendar integration (Google Calendar, Outlook, etc.) Optional: Slack/Teams for notifications Optional: Database for learning pattern storage Customizing this workflow Multi-language Support**: Enable auto-detection for global teams Business Rules**: Configure company holidays and working hours Learning System**: Enable AI learning from user corrections Integration Depth**: Connect to your existing calendar and CRM systems Confidence Thresholds**: Set minimum confidence levels for auto-scheduling Ambiguity Handling**: Route unclear dates to human review or clarification requests Sample Input/Output Input Examples: "early next July" "2 weeks after Thanksgiving" "next Wednesday evening" "Q3 2025" "mañana por la mañana" (Spanish) "first thing Monday" Rich Output: { "parsed": [{ "start": "2025-07-01T00:00:00Z", "end": "2025-07-10T23:59:59Z", "timezone": "America/New_York" }], "confidence": 0.95, "method": "custom_rules", "business_insights": [{ "type": "business_warning", "message": "Selected date range includes July 4th holiday" }], "predictions": [{ "type": "time_preference", "suggestion": "You usually schedule meetings at 10 AM" }], "ambiguities": [], "alternatives": [{ "interpretation": "Early July 2026", "confidence": 0.15 }], "performance": { "cache_hit": true, "response_time": "0.8ms" } } Why This Workflow is Unique World-Class Accuracy**: 96%+ success rate on complex expressions AI Learning**: Improves over time with user feedback Global Ready**: Multi-language and timezone intelligence Business Smart**: Enterprise rules and holiday awareness Performance Optimized**: Sub-millisecond cached responses Context Aware**: Provides confidence scores and alternatives for AI decision-making Transform your scheduling workflows from rigid form inputs to natural, conversational date requests that your users will love!

Automated pipeline that extracts job listings from Upwork and exports them to Google Sheets for better organization, analysis, and team collaboration. 🚀 What It Does Fetches job postings based on saved searches Extracts key job details (title, budget, description) Organizes data in Google Sheets Updates in real-time Supports multiple search criteria 🎯 Perfect For Freelancers tracking opportunities Teams managing multiple projects Agencies monitoring client needs Market researchers Business analysts ⚙️ Key Benefits ✅ Centralized job board ✅ Easy sharing with team members ✅ Advanced filtering and sorting ✅ Historical data tracking ✅ Customizable data points 🔧 What You Need Upwork account Google account n8n instance Google Sheets setup 📊 Data Exported Job title and description Budget and hourly rate Client information Posted date Required skills Job URL 🛠️ Setup & Support Quick Setup Get started in 15 minutes with our step-by-step guide 📺 Watch Tutorial 💼 Get Expert Support 📧 Direct Help Streamline your job search and opportunity tracking with automated data collection and organization.

Who is this for? This workflow is for social media agencies, influencer marketers, and brand managers who need to automatically qualify TikTok creators based on their follower metrics. It’s especially useful for teams managing influencer outreach campaigns or building talent databases. What problem is this workflow solving? Manually tracking TikTok user stats is time-consuming and inconsistent. This automation instantly pulls TikTok profile data and only saves creators who meet a defined follower threshold. It removes manual vetting, reduces spreadsheet work, and makes influencer qualification scalable. What this workflow does This workflow uses Airtable as the trigger, Dumpling AI to scrape TikTok profile information, and a logic condition to check if the profile has more than 100k followers. Qualified profiles are updated with full metrics and stored back in Airtable. Setup Airtable Setup Create a table with a field named Tik tok username Connect your Airtable account to n8n using a Personal Access Token Set up a trigger to run when a new TikTok username is added Dumpling AI Sign up at Dumpling AI Create a Dumpling AI credential in n8n using your API key The HTTP node sends the TikTok handle to Dumpling’s /get-tiktok-profile endpoint Configure Filter The IF node checks if followerCount is greater than or equal to 100000 Airtable Update If qualified, the record is updated with: ID (TikTok ID) followerCount followingCount heartCount videoCount How to customize this workflow to your needs Change the follower count threshold to fit your campaign (e.g. 10K, 500K, 1M) Add fields like engagement rate, niche tags, or scraped bio Chain additional steps like sending approved creators to your CRM or triggering outreach messages Add another filter to exclude private or inactive accounts

Reusable and Independently Testable Sub-workflow This n8n workflow provides a standardized structure for building and testing sub-workflows in isolation. Its purpose is to help you create robust, reusable, and maintainable automations by enabling you to test the sub-workflow's logic without needing a separate parent workflow. Setup Instructions: Define Sub-workflow Inputs: Double-click the Execute Sub-workflow Trigger node to define the parameters (e.g., color) that your sub-workflow will expect from a parent workflow. Configure Test Data: Use the Test Input node (an Edit Fields (Set) node connected to the Manual Trigger) to provide sample data for isolated testing. Connect Inputs: The Combine Input node (an Edit Fields (Set) node) is the entry point for your sub-workflow's core logic. It should have two inputs: one from the Execute Sub-workflow Trigger and one from the Test Input node. Merge Inputs: Ensure the Combine Input node has the 'Include Other Input Fields' option enabled to merge data from both the live and test paths seamlessly. You can read the full blog post that explains this workflow setup in detail here.

❓ What Problem Does It Solve? Manual exporting or copying of leads and newsletter signups from web forms to spreadsheets is time-consuming, error-prone, and delays follow-ups or marketing activities. Traditional workflows can lose data due to mistakes or lack of automation. The Fluentform Export workflow automates the capture and organization of form submissions and newsletter signups into Google Sheets 💡 Why Use this workflow? Save Time:** Automate tedious manual data entry for form leads and newsletter signups Avoid Data Loss:** Ensure all submissions are reliably logged with real-time updates Organized Data:** Separate sheets for newsletter and contact form data maintain clarity Easy Integration:** Works seamlessly with Fluentform submissions and Google Sheets Flexible & Scalable:** Quickly adapt to changes in form structure or spreadsheet columns ⚡ Who Is This For? Marketers & Growth Teams:** Automatically gather leads and newsletter contacts to fuel campaigns Small to Medium Businesses:** Reduce overhead from manual data management and errors Customer Support Teams:** Keep track of form submissions in a centralized, accessible place Website Admins:** Simplify data workflow from Fluentform plugins without coding 🔧 What This Workflow Does ⏱ Trigger:** Listens for incoming POST requests from Fluentform via webhook 📎 Step 2:** Evaluates if the submission is a newsletter signup or a form based on a specific token 🔄 Step 3 (Newsletter Path):** Maps email from newsletter submissions and appends/updates Google Sheets "News Letter" tab 🔄 Step 3 (Form Path):** Extracts full name, email, phone, subject, and message fields and appends/updates the Google Sheets "form" tab 💌 Step 4:** Sends a JSON success response back to Fluentform confirming receipt 🔐 Setup Instructions Import the provided .json workflow file into your n8n instance Set up credentials: Google Sheets OAuth2 credential with access to your target spreadsheets Customize workflow elements: Update Fluentform webhook URL in your Fluentform settings to the n8n webhook URL generated Adjust field names or spreadsheet columns if your form structure changes Update spreadsheet IDs and sheet names used in the Google Sheets nodes to match your own Sheets Test workflow thoroughly with actual Fluentform submissions to verify data flows correctly 🧩 Pre-Requirements Running n8n instance (Cloud or self-hosted) Google account with access to Google Sheets and OAuth credentials Fluentform installed on your website with ability to set webhook URL Target Google Sheets prepared with tabs named "News Letter" and "form" with expected columns 🧠 Nodes Used Webhook (POST - Retrieve Leads) If (Form or newsletter?) Set (newsletter and form data preparation) Google Sheets (Append/update for newsletter and form sheets) Respond to Webhook 📞 Support Made by: khaisa Studio Tag: automation, Google Sheets, Fluentform, Leads Category: Marketing Need a custom? Contact Me

🧠 Problem This Solves Managing credit card expenses can be tricky, especially when you want to stay transparent and keep your spouse in the loop. Most banks don't offer real-time notification sharing with family members, and manually updating expenses takes time and effort. This n8n workflow automates the entire process: tracking your HDFC credit card usage, logging it in Google Sheets, and sending an instant Telegram notification to your spouse. 👥 Who This Template Is For Couples who want shared visibility of credit card spending Individuals looking for automated personal finance tracking Anyone using HDFC Credit Card with email alerts enabled n8n users who want to integrate Gmail, Google Sheets, and Telegram ⚙️ Workflow Breakdown Here’s how the automation works: Gmail Trigger – Monitors your Gmail inbox for credit card transaction alerts from HDFC Bank. Email Parser – Extracts transaction details like amount, merchant name, date, and card type. Google Sheets Node – Logs the parsed transaction data into a structured Google Sheet for record-keeping. Telegram Node – Sends a message to your wife’s Telegram account with transaction details for instant notification. 🛾 Step-by-Step Setup Instructions Prerequisites An HDFC Credit Card with email alerts enabled A Gmail account connected to n8n A Google Sheet created with columns like Date, Amount, Merchant, Card, etc. A Telegram Bot and your wife’s Telegram Chat ID Set up Gmail Trigger Use the Gmail Trigger Node to monitor incoming emails from alerts@hdfcbank.net or similar. Filter emails with subject line containing keywords like Credit Card Transaction Alert. Extract Email Content Use the HTML Extract or Regex node to parse out transaction amount, merchant name, date, and card number from the email body. Log to Google Sheets Connect your Google Sheets account in n8n Use the Append Row node to add each transaction as a new row in your finance sheet. Send Telegram Message Set up a Telegram Bot and get the Chat ID of your wife’s Telegram account Format a message like: "💳 HDFC Transaction Alert: ₹5,000 at Amazon on 17 May via XXXX1234" Send it via the Telegram node 🛠️ Customization Tips 💡 Add Spending Limits: Add a condition node to alert only if the transaction exceeds a certain amount. 🧾 Category Mapping: Use additional logic to classify expenses (e.g., Shopping, Dining) based on keywords. 📊 Weekly Summary: Create another workflow that sends a weekly Telegram summary using data from Google Sheets. 🔐 Security Tip: Mask part of the card number before sending the Telegram message for added security.

Jura Coffee Counter: Webhook API & Google Sheets Logger ☕️ Track how many coffees your Jura E8 espresso machine makes — fully automated via webhook and Google Sheets. This workflow exposes a custom API endpoint that can be called by smart devices, such as an ESP8266 or ESP32 reading data from a Jura E8 coffee machine via Bluetooth Low Energy (BLE). The incoming data (including total coffee count) is timestamped and appended to a Google Sheet, making it easy to visualize or analyze your machine usage. ☕ Originally built for a Jura E8, based on AlexxIT/Jura reverse-engineering project. > 📝 This workflow uses Google Sheets as a logging backend. You can easily switch it to Airtable, Notion, or a database of your choice. Live example available at: https://halfbitstudio.com/o-nas/ > 🖥️ In our setup, this workflow is used to provide real-time coffee consumption stats displayed directly on our website. > 🔌 Some Jura machines require an accessory Bluetooth transmitter to enable connectivity. Communication is based on the Bluetooth Low Energy (BLE) protocol. Use Case Tracking usage of a Jura coffee machine Logging IoT sensor data into Google Sheets Creating dashboards for daily consumption Smart office setups with coffee stats! Features ☁️ Two Webhook endpoints: POST /{{WEBHOOK_POST_PATH}} — receives JSON from ESP (coffee machine reader) GET /{{WEBHOOK_GET_PATH}} — returns latest records as JSON 📅 Timestamping via Date & Time node 🔹 Coffee counter extraction from incoming JSON 🧾 Appends structured rows to Google Sheets 📤 Webhook response for external status or dashboards Setup Instructions Jura Coffee Machine Integration (Hardware) Use an ESP device (e.g. ESP8266 or ESP32) to connect to the Jura E8 via Bluetooth Low Energy (BLE). Send POST requests with JSON payload: { "total_coffees": 123 } Reverse-engineered protocol reference: AlexxIT/Jura Google Sheets Configuration Create a new Google Sheet with column headers like: date | time | coffee counter Connect your Google account in n8n and authorize access to this sheet. Replace the documentId and sheetName fields in the Google Sheets nodes: Use full URL to your spreadsheet Use the actual sheet name (e.g. Sheet1) Environment Variables & Placeholders | Placeholder | Description | | ------------------------ | ----------------------------------------------- | | {{WEBHOOK_POST_PATH}} | Endpoint to receive coffee counter data | | {{WEBHOOK_GET_PATH}} | Endpoint to return latest data (for dashboards) | | {{SHEET_ID}} | Google Spreadsheet ID | | {{GOOGLE_CREDENTIALS}} | OAuth2 credentials for Google Sheets | | {{DATA_COLUMNS}} | Column names in the target sheet | Testing the Workflow Send test request: Use Postman or ESP to send a POST request to /{{WEBHOOK_POST_PATH}} Body should include total_coffees value Check Google Sheet: Open your sheet and verify that a new row was appended Test GET endpoint: Access the second webhook URL (e.g. /{{WEBHOOK_GET_PATH}}) in browser or fetch via API Optional: Use Respond to Webhook output in a dashboard or frontend Customization Tips Sheet format**: Add more columns if you want to track additional data (e.g. machine temperature, errors) Output format**: Replace Google Sheets with any other storage (e.g. MySQL, Notion) Auth layer**: Add basic auth or token verification if needed for public exposure Notifications**: Send alerts to Discord/Slack when reaching thresholds (e.g. 200 coffees brewed) Tags: google-sheets, iot, webhook, jura, coffee, api, automation

🧾 What this workflow does This workflow turns YouTube video links into ready-to-edit newsletter drafts using Dumpling AI and GPT-4o. It reads new video URLs from a Google Sheet, extracts their transcripts, summarizes them into email-friendly content, and logs the finished draft back into the same sheet. An email notification is also sent to alert the user once each draft is created. 👤 Who is this for Newsletter writers or marketers repurposing video content YouTube creators building email follow-ups from videos Agencies or VAs batching social → email content Automation users streamlining content workflows ⚙️ How to set up ✅ Requirements Google Sheet** with the following columns: link — YouTube video URL blog post — for saving the generated newsletter draft Active accounts for: Dumpling AI (API for YouTube transcripts) OpenAI GPT-4 or GPT-4o Google Sheets Gmail (OAuth2 credential) 🔧 Setup steps Connect all credentials using n8n's Credential Manager: Google Sheets (OAuth2) Dumpling AI (via HTTP Header Auth) OpenAI Gmail Update the sheet ID and tab name in both Google Sheets nodes. Customize the GPT-4o prompt (optional): Located in the “GPT-4o: Write Newsletter Draft from Transcript” node You can edit tone, structure, and audience targeting in the system message Verify email recipient in the Gmail node and update if needed. 🧠 How it works The workflow is triggered manually or on schedule. It pulls YouTube links without drafts from the sheet. Each video’s transcript is fetched using Dumpling AI. GPT-4o summarizes the transcript into a clean, friendly newsletter format. The draft is written back to the same row in Google Sheets. An email is sent to notify the user that the draft is ready. 🛠️ Customization ideas Send finished drafts to Notion or Airtable instead of Sheets Generate social media posts from the same transcript Add automatic review steps using GPT scoring or editing Trigger this on new form submissions or YouTube uploads instead This is a fast, AI-powered way to turn long-form video content into clean, polished newsletters — ready to share or schedule with minimal editing.

🎯 What It Does: This project lets you talk to Siri (via Apple Shortcuts) and record or query your daily spending. The shortcut sends your message to an n8n Webhook, which uses AI to decide whether it’s for writing or reading finance data, then replies with a human-friendly message — all powered by n8n + AI + Google Sheets. ⸻ 🌐 PART 1: n8n Setup 🧩 1. Create a Webhook Trigger in n8n • Add a node: Webhook • Set HTTP Method: POST • Set Path: siri-finance • Enable “Respond to Webhook” = ✅ 🧠 2. Add AI Agent Node (e.g. OpenAI, Ollama, Gemini) • Use system prompt like: You are a finance assistant. Decide if the user wants to record or read transactions. If it's recording, return a JSON object with date, type, name, amount, and expense/income. If it's reading, return date range and type (Expense/Income). Always reply with a human-friendly summary. • Input: {{ $json.text }} (from webhook) • Output: structured json.output 🧮 3. (Optional) Add Logic to write to DB / Supabase / Google Sheets • Append tool: Adds a new row • Read tool: Queries past data Now your n8n flow is ready! ⸻ 📱 PART 2: iOS Shortcut Setup ⚙️ 1. Create a new Shortcut • Name it: 記帳助理 (or Finance Bot) • Add Action: Ask for Input • Prompt: “請說出你的記帳內容” • Input Type: Text • Add Action: Get Contents of URL • Method: POST • URL: https://your-n8n-domain/webhook/siri-finance • Headers: Content-Type: application/json • Request Body: { "text": "Provided Input" } • Replace "Provided Input" with Magic Variable → Input Result 🔊 2. Show Result • Add Action: Show Result • Content: Get Contents of URL 🗣️ 3. Optional: Add “Speak Text” • If you want Siri to speak it back, add Speak Text after Show Result. ⸻ ✅ Example Usage • You: “Hey Siri, 開支$50 早餐” • Siri: “已記錄支出：項目 早餐，金額 $50，已寫入” Or • You: “查一下我過去7日用了幾多錢” • Siri: “你過去7日總支出為 $7684.64，包括：⋯⋯” ⸻ 📦 Files to Share You can package the following: • .shortcut file export • Sample n8n workflow .json • Optional Supabase schema / Google Sheet template ⸻ 💡 Tips for Newcomers • Keep your Webhook public but protect with token if needed. • Ensure you handle emoji and newline safely for iOS compatibility. • Add logging nodes in n8n to help debug Siri messages. ⸻ 🗣️ Optional Project Name “Siri 記帳助理” / “Finance VoiceBot” A simple voice-first way to manage your daily expenses.

A streamlined AI-powered tool that extracts actionable technical insights from HackerOne security reports for advanced bug bounty hunters. How It Works Send any HackerOne report URL (e.g., https://hackerone.com/reports/123456) to the chat interface. The AI agent will: Fetch the report JSON automatically Analyze for unique techniques, payloads, and root causes Extract reusable insights in a structured format Summarize with practical pentesting value Setup Requirements Google Gemini API credentials configured Chat interface deployed and accessible HackerOne report URLs Output Format Summary: One-liner impact statement Techniques: Payloads, code snippets, exploitation steps Pro Tips: Reusable insights for future hunts Perfect for rapid triage and building your personal exploit knowledge base.

This powerful n8n automation sends you daily weather updates directly to your Telegram chat using live data from OpenWeatherMap. It supports automatic daily updates and manual lookups via form input. ✅ Prerequisites Before you begin, make sure you have: A working n8n instance (v1.0 or later recommended). An account with OpenWeatherMap (free plan is sufficient). A Telegram Bot created via @BotFather. Your Telegram user ID or chat ID. 🔐 API & Bot Setup 🧩 OpenWeatherMap API Go to https://openweathermap.org/api Sign up and verify your account. Navigate to API Keys in your account dashboard. Copy your API key (used later in the HTTP Request node). 🤖 Telegram Bot Open @BotFather in Telegram. Run /newbot and follow the prompts: Choose a name and username for your bot. You’ll get a bot token (copy this). Start a chat with your new bot to activate it. To get your Telegram User ID, use @userinfobot or an n8n Telegram Trigger node. 🔄 Trigger Options ⏰ Schedule Trigger (Automatic) Runs daily at 8:00 AM IST. Ideal for consistent, passive updates. 📝 Form Trigger (Manual) Input 🌆 City and 🌍 Country manually. Instantly receive weather info in Telegram. 🧠 How the Flow Works Trigger Activated (Scheduled or Form) City & Country fetched (default or from form) HTTP Request sent to OpenWeatherMap with API key Weather Data Parsed & Formatted: 📅 Current Date 📍 City & Country 🌤️ Weather Description 🌡️ Temperature (°C) 💧 Humidity (%) 🌬️ Wind Speed (m/s) 🔼 Atmospheric Pressure 🌅 Sunrise Time (IST) 🌇 Sunset Time (IST) Message Sent to Telegram 🧰 Nodes Used Schedule Trigger** – Runs every day at 8:00 AM IST Form Trigger** – Accepts user input Set Node** – Default city/country values and date formatting HTTP Request** – Calls OpenWeatherMap API Function Node** – Converts timestamps to IST Telegram Node** – Sends formatted weather message 📦 Example Telegram Output 📅 Wednesday, 10 July 2025 🌤 Weather in Mumbai, IN: Condition: Clear sky Temperature: 30°C 💧 Humidity: 70% 🌬 Wind Speed: 3 m/s 🔼 Pressure: 1013 hPa 🌅 Sunrise: 5:57:12 AM 🌇 Sunset: 6:53:45 PM 🛠️ Customization Tips 🏙️ Change Default City/Country Locate the Set Node (used before the API call). Replace "Mumbai" and "IN" with your preferred location. Or connect the Form Trigger input to allow dynamic values. 🕗 Change Schedule Time Open the Schedule Trigger node. Adjust to your preferred time zone and daily timing (e.g., 7 AM IST). 🧪 Add Extra Data OpenWeatherMap returns more fields like visibility, UV index, etc. You can include these in your Telegram message via the Function Node and Set Node.

FTP to Google Drive Transfer Template What This Template Does This workflow automatically transfers files from an FTP server to Google Drive. It's perfect for: Backing up files from remote servers Migrating data from FTP to cloud storage Automating file synchronization tasks Creating scheduled backups of server content How It Works The workflow follows these steps: Manual Trigger - You start the process by clicking "Execute" Lists FTP Directory - Scans the specified FTP folder for all items Filters Files Only - Separates actual files from directories (folders) Downloads Files - Retrieves each file as binary data from the FTP server Uploads to Google Drive - Stores all downloaded files in your specified Google Drive folder Requirements Before using this template, you'll need: FTP Server Access**: Server address, username, and password Google Drive Account**: With OAuth2 authentication set up in n8n n8n Instance**: Self-hosted or cloud version Setup Instructions Step 1: Configure FTP Credentials In n8n, go to Settings → Credentials Create a new FTP credential Enter your FTP server details: Host: Your FTP server address Port: Usually 21 for FTP Username: Your FTP username Password: Your FTP password Test the connection and save Step 2: Set Up Google Drive Authentication Create a new Google Drive OAuth2 credential Follow n8n's Google Drive setup guide: Create a Google Cloud project Enable Google Drive API Create OAuth2 credentials Add your n8n callback URL Authorize the connection in n8n Step 3: Configure the Workflow Update FTP Path: Open the "List FTP Directory" node Change the path parameter from /_instalki to your desired FTP folder Set Google Drive Folder: Open the "Upload to Google Drive" node Replace the folderId with your target Google Drive folder ID To find folder ID: Open the folder in Google Drive and copy the ID from the URL Assign Credentials: Ensure both FTP nodes use your FTP credential Assign your Google Drive credential to the upload node How to Use Test First: Run the workflow manually with a few test files Monitor Execution: Check the execution log for any errors Verify Upload: Confirm files appear in your Google Drive folder Schedule (Optional): Add a schedule trigger if you want automatic runs Customization Options Filter Specific File Types Add a condition after "Filter Files Only" to process only certain file extensions: {{ $json.name.endsWith('.pdf') || $json.name.endsWith('.jpg') }} Add Error Handling Insert error-handling nodes to manage failed downloads or uploads gracefully. Organize by Date Modify the Google Drive upload to create date-based folders automatically. File Size Limits Add checks for file size before attempting upload (Google Drive has limits). Troubleshooting Common Issues: FTP Connection Failed**: Check server address, port, and credentials Google Drive Upload Error**: Verify OAuth2 setup and folder permissions Files Not Found**: Ensure the FTP path exists and contains files Large Files**: Consider Google Drive's file size limitations (15GB for free accounts) Tips: Test with small files first Check n8n execution logs for detailed error messages Ensure your Google Drive has sufficient storage space Verify FTP server allows multiple concurrent connections Security Notes Never hardcode credentials in the workflow Use n8n's credential system for all authentication Consider using SFTP instead of FTP for better security Regularly rotate your FTP passwords Review Google Drive sharing permissions Next Steps Once you have this basic transfer working, you might want to: Add email notifications for successful/failed transfers Implement file deduplication checks Create logs of transferred files Set up automatic cleanup of old files Add file compression before upload