Browse 12,955 Workflows

By simonscrapes

Runthrough Video runthrough Use Case Create YouTube videos without on-camera presence: You want to generate passive content You need scalable video production You want to automate content creation You need consistent video output What this Workflow Does The workflow automates video production: Generates audio narration Creates complementary stock imagery and turns static images into motion Syncs audio and visual elements Produces ready-to-upload YouTube content Setup Configure text-to-speech audio generation Set up AI image generation service Connect Shotstack API for video composition Define content parameters and themes How to Adjust it to Your Needs Modify audio generation parameters Customize image styles Adjust video composition Tools (requires API access & some are paid for tools) Elevenlabs for audio generation Leonardo for image generation and motion images (can be swapped out) Shotstack for syncing image to video OpenAI Whisper for transcription Cost of production Around $0.80 per video at time of writing. An n8n automation workflow template by simonscrapes.

By Jaruphat J.

This workflow integrates LINE BOT, AI Agent (GPT), Google Sheets, and Google Drive to enable users to search for file URLs using natural language. The AI Agent extracts the filename from the message, searches for the file in Google Sheets, and returns the corresponding Google Drive URL via LINE BOT. Supports natural language queries (e.g., "Find file 1.pdf for me") AI-powered filename extraction Google Sheets Lookup for file URLs Auto-response via LINE BOT How to Use This Template 1. Download & Import Copy and save the Template Code as a .json file. Go to n8n Editor → Click Import → Upload the file. 2. Update Required Fields Replace YOUR_GOOGLE_SHEET_ID with your actual Google Sheet ID. Replace YOUR_LINE_ACCESS_TOKEN with your LINE BOT Channel Access Token. 3. Activate & Test Click Execute Workflow to test manually. Set Webhook URL in LINE Developer Console. Features of This Template Supports Natural Language Queries (e.g., “Find file 1.pdf for me”) AI-powered filename extraction using OpenAI (GPT-4/3.5) Real-time file lookup in Google Sheets Automatic LINE BOT Response Fully Automated Workflow. An n8n automation workflow template by Jaruphat J..

By WeblineIndia

Automate Telegram Chat Responses Using Google Gemini By WeblineIndia* ⚡ TL;DR (Quick Steps) Create a Telegram bot using @BotFather and copy the API Token. Obtain Google Gemini API Key via Google Cloud. Set up the n8n workflow: Trigger: Telegram message received. AI Model: Google Gemini generates response. Output: AI reply sent back to user via Telegram. Customize the system prompt, model, or message handling to suit your use case. 🧠 Description This n8n workflow enables seamless automation of real-time chat replies in Telegram by integrating with Google Gemini's Chat Model. Every time a user sends a message to your Telegram bot, the workflow routes it through the Gemini AI, which analyzes and crafts a professional response. This reply is then automatically delivered back to the user. The setup acts as a lightweight but powerful chatbot system — ideal for businesses, customer service, or even personal productivity bots. You can easily modify its tone, intelligence level, or logging mechanisms to cater to specific domains such as sales, tech support, or general Q&A. 🎯 Purpose of the Workflow The primary goal of this workflow is to automate intelligent, context-aware chat responses in Telegram using a robust AI model. It eliminates manual reply handling, enhances user engagement, and ensures 24/7 interaction capabilities — all through a no-code or low-code setup using n8n. 🛠️ Steps to Configure and Use ✅ Pre-Conditions / Requirements Telegram Bot Token**: Get it from @BotFather. Google Gemini API Key**: Available via Google Cloud PaLM/Gemini API access. n8n Instance**: Hosted or local instance with required nodes installed (Telegram, Basic LLM Chain, and Google Gemini support). 🔧 Setup Instructions Step 1: Telegram Trigger – Listen for Incoming Messages Add Telegram Trigger node. Select Trigger On: Message. Authenticate using your Telegram Bot Token. This will capture incoming messages from any user interacting with your bot. Step 2: Google Gemini AI – Generate a Smart Reply Add the Basic LLM Chain node. Connect the input message ({{$json.message.text}}) from the Telegram Trigger. System Prompt: > "You are an AI assistant. Reply to the following user message professionally:" Choose Google Gemini Chat Model (models/gemini-1.5-pro). Connect this node to receive the text input and pass it to Gemini for processing. Step 3: Telegram Reply – Send the AI Response Add a Telegram node (Operation: Send Message). Set Chat ID dynamically from the Telegram Trigger node. Input the generated message from the Gemini output. Enable Parse Mode as HTML for rich formatting. Final Step: Link All Nodes Receive Telegram Message → Generate AI Response → Send Telegram Reply. > Tip: Test the workflow by sending a message to your Telegram bot and ensure you receive an AI-generated reply. 🧩 Customization Guidance ✏️ Modify the AI tone by updating the system prompt. 🤖 Use other AI models (e.g., OpenAI GPT-4o). 🔍 Add filters to respond differently based on specific keywords. 📊 Extend the workflow to store chats in Google Sheets, Airtable, or databases for audit or analytics. 🌐 Multi-language support: Add translation layers before and after AI processing. 🛠️ Troubleshooting Guide No message received?** Check if your Telegram bot is active and webhook is working. AI not responding?** Validate your Google Gemini API key and usage quota. Wrong replies?** Refine the system prompt or validate message routing. Formatting issues?** Ensure Parse Mode is correctly set to HTML. 💡 Use Case Examples Customer Service Chatbot** for product queries. Educational Bots** for answering user questions on a topic. Mental Health Companion** that gives supportive replies. Event-based Announcers** or automatic responders during off-hours. > And many more! This workflow can be easily extended to support advanced use cases with just a few additional nodes. 👨‍💻 About the Creator This workflow is developed by WeblineIndia, a trusted provider of AI development services and process automation solutions. If you're looking to build or customize intelligent workflows like this, we invite you to get in touch with our team. We also offer specialized Python development and AI developer hiring services to supercharge your automation needs. An n8n automation workflow template by WeblineIndia.

By Amjid Ali

AI Chatbot with Conditional Execution for Cost Efficiency Description This n8n workflow implements an AI-powered chatbot that only runs when a chat is initiated on a website. By introducing a conditional step, the workflow ensures that AI tokens are not consumed unnecessarily, making it a cost-efficient and resource-optimized solution. The chatbot, named Sophia, serves as an interactive assistant for SyncBricks. It helps users with guest posting services, YouTube review videos, IT consultancy, and online courses while collecting user details step by step. The chatbot ensures that inquiries are properly logged and confirmed before proceeding to AI-driven responses. This template is ideal for businesses, service providers, and content creators who want to optimize AI token usage while delivering personalized, interactive engagement with their users. Features Conditional Execution – The AI chatbot only activates when a chat is initiated, avoiding unnecessary API calls. AI-Powered Conversations – Uses Google Gemini AI to generate human-like responses. Step-by-Step Data Collection – Ensures structured user input, requesting name, email, and request type sequentially. Memory Buffer for Context Awareness – Maintains conversation context using a window buffer memory system. Multiple Service Offerings – Supports inquiries related to: Guest Posting Services YouTube Review Videos Online Courses on Udemy IT Consultancy Services Automated Confirmation Messages – After collecting user details, sends a confirmation message summarizing the request. How It Works Chat Message Trigger The workflow starts only when a chat message is received from the website. This ensures no AI token is consumed unless a user initiates a chat. Condition Check: Is Chat Input Provided? The workflow checks if chat input is non-empty. If the chat input is empty, the workflow stops, ensuring no unnecessary API usage. If a message is detected, the chatbot continues processing. AI-Powered Chat Response The chatbot, Sophia, generates personalized responses using Google Gemini AI. AI ensures structured conversation flow by collecting: User’s Full Name Email ID Request Type Memory Buffer for Context Retention A Window Buffer Memory system stores chat history and retrieves previous responses to ensure context-aware conversations. Response Optimization Checks memory to avoid asking the same question twice. If details are already provided, Sophia moves directly to processing the request. Confirmation & User Engagement After collecting the required details, Sophia summarizes the request as follows: "Got it [Name], your request is [Request Type]. I will be sending the details to your email ID: [Email]. Hold on while I send confirmation." Final Confirmation Message Ensures the user receives a proper acknowledgment of their inquiry. Prerequisites Before using this workflow, make sure you have: n8n Instance (Cloud or Self-Hosted) Google Gemini API Key (For AI-generated responses) Webhook Integration (To trigger the chatbot from your website) Use Cases Businesses & Enterprises – AI-powered lead qualification for services. Bloggers & Content Creators – Automated guest post inquiry handling. YouTube Influencers & Educators – AI chatbot to promote courses and review services. Marketing Agencies – Lead generation chatbot without excessive AI token consumption. E-Commerce & Consulting Services – AI-driven personalized customer engagement. Nodes Used in This Workflow Chat Trigger (Webhook) – Initiates only when a user sends a chat message. Conditional Check (If Node) – Ensures AI is only used when a chat is initiated. AI Agent (Google Gemini AI) – Generates intelligent chatbot responses. Memory Buffer (Context Retention) – Stores user inputs for context-aware conversations. Important Start with n8n Learn n8n with Amjid Get n8n Book What is Proxmox Creator Information Developed by: Amjid Ali Website: SyncBricks Email: amjid@amjidali.com LinkedIn: Amjid Ali YouTube: SyncBricks Support & Contributions If you find this workflow helpful, consider supporting my work: Donate via PayPal For full courses on n8n, visit: Course by Amjid Final Thoughts This n8n workflow ensures optimal AI token usage while engaging users with an intelligent chatbot. By integrating conditional execution, it prevents unnecessary API calls, making it cost-effective and efficient for businesses looking to automate chat-based customer interactions. Let me know if you need any modifications!. An n8n automation workflow template by Amjid Ali.

By Mauricio Perera

Overview: This workflow is designed to handle user inputs via a webhook, process the inputs with the Google Gemini API (specifically the gemini-2.0-flash-thinking-exp-1219 model), and return a structured response to the user. The response includes three key elements: reasoning, the final answer, and citation URLs (if applicable). This workflow provides a robust solution for integrating AI reasoning into your processes. This workflow can be utilized as a tool for AI-based agents, intelligent email drafting systems, or as a standalone intelligent automation solution. Setup: Webhook Configuration: Ensure the webhook node is properly set up to accept GET requests with an input parameter. Verify that the webhook path matches your application requirements. Test the webhook using tools like Postman to ensure proper data formatting. Google Gemini API Credentials: Set up your Google Gemini API account credentials in the HTTP Request node. Ensure API access and permissions are valid. Parameter Adjustments: Customize the temperature, topK, topP, and maxOutputTokens parameters to fit your use case. Customization: Input Parameters: Modify the webhook path or parameters based on the data your application will send. Response Formatting: Adjust the JavaScript code in the "Process API Response" node to fit your desired output structure. Output Expectations: Test the response returned by the "Return Response to User" node to ensure it meets your application requirements. Workflow Steps: Receive User Input: Node Type: Webhook Purpose: Captures a GET request containing a user-provided input parameter. Acts as the starting point for the workflow. Send Request to Google Gemini: Node Type: HTTP Request Purpose: Sends the received input to the Gemini-2.0-flash-thinking-exp-1219 model for processing. The API configuration includes parameters for customizing the response. Process API Response: Node Type: Code Node Purpose: Extracts reasoning, the final answer, and citation URLs from the API response. Organizes the output for further use. Return Response to User: Node Type: Respond to Webhook Purpose: Sends the processed and structured response back to the user via the webhook. Ensures the response format meets expectations. Expected Outcomes: Input Handling:** Successfully captures user input via a webhook. AI Processing:* Generates a structured response using the *Gemini-2.0-flash-thinking-exp-1219** model, including reasoning, answers, and citations (if available). Output Delivery:** Returns a user-friendly response formatted to your specifications. Notes: The workflow is inactive by default. Each node is annotated with a Sticky Note to clarify its purpose. Ensure all API credentials are correctly configured before execution. Use this workflow to save time, improve accuracy, and automate repetitive tasks efficiently. Tags: Automation Google Gemini AI Agents Intelligent Automation Content Generation Workflow Integration. An n8n automation workflow template by Mauricio Perera.

By Aleksandr

This template processes webhooks received from amoCRM in a URL-encoded format and transforms the data into a structured array that n8n can easily interpret. By default, n8n does not automatically parse URL-encoded webhook payloads into usable JSON. This template bridges that gap, enabling seamless data manipulation and integration with subsequent processing nodes. Key Features: Input Handling: Processes URL-encoded data received from amoCRM webhooks. Data Transformation: Converts complex, nested keys into a structured JSON array. Ease of Use: Simplifies access to specific fields for further workflow automation. Setup Guide: Webhook Trigger Node: Configure the Webhook Trigger node to receive data from amoCRM. URL-Encoding Parsing: Use the provided nodes to transform the input URL-encoded data into a structured array. Access Transformed Data: Use the resulting JSON structure for subsequent nodes in your workflow, such as filtering, updating records, or triggering external systems. Example Data Transformation: Sample Input (URL-Encoded): The following input format is typically received from amoCRM: $json.body'leads[updatecustom_fields[id]'] Output (Structured JSON): After processing, the data is transformed into an easily accessible JSON array format: {{ $json.leads.update[‘0’].id }} This output allows you to work with clean, structured JSON, simplifying field extraction and workflow continuation. Code Explanation: This workflow parses URL-encoded key-value pairs using n8n nodes to restructure the data into a nested JSON object. By doing so, the template improves transparency, ensures data integrity, and makes further automation tasks straightforward. An n8n automation workflow template by Aleksandr.

By Sam Nesler

Syncs assignments and completion states to and fro between Canvas LMS and a Notion database. Automatically triggers every 2 hours during the schoolday by default (meaning 7 times a day), but also supports manual refreshing via webhooks. Setup You'll need a few things to get started: A Canvas API key. You can generate one by going to your Canvas account settings and clicking on the "New Access Token" button. The URL looks like https://canvas.wisc.edu/profile/settings You'll also need to replace URLs in Canvas nodes with your institution's domain, unless you're a student at UW-Madison. Canvas nodes are all the HTTP Request nodes except the one labelled "OpenAI Categorization", which is an OpenAI node and will require a key in a later step. A Notion integration token. You can find this by going to your Notion integrations page and clicking "Create new integration". You can make it a "Internal Integration". A Notion database to sync to. I made a template for use with the workflow, but you can use any database that has the following fields: Status (status): Status with at least the options "Not Started" and "Completed" - assignments start out "Not Started", and are marked "Completed" when they are submitted on Canvas. Estimate (select): Select with at least the options "XS", "S", "M", "L", "XL" - this is where the estimated time to complete the assignment will be stored. Even if you don't use AI, they'll start out as "M" Priority (select): Select with at least the options "Could Do", "Should Do", "Must Do" - assignments start out "Should Do" ID (text): this is where the ID of the assignment will be stored. We use this to sync without having a database on the server Due Date (date): this is where the due date of the assignment will be stored Class (text): this is where the name of the class will be stored Link (URL): this is where the link to the assignment will be stored The ID of the Notion database you want to sync to. You can find this by clicking "Share" in the top right of your database and copying the link. The ID is the part of the link that comes after https://www.notion.so/ and before ?v=. So for https://www.notion.so/tsuniiverse/1976e99d91128076b034e7379464560f?v=1976e99d911281e7bd4b000c2cbec692&pvs=4, the ID would be 1976e99d91128076b034e7379464560f. An OpenAI key for assignment length estimation or disable the node. Manual Refreshing Embed the production URL from the Webhook Trigger inside a "toggle list" or "toggle heading" inside Notion, then expand the heading to refresh, like so:. An n8n automation workflow template by Sam Nesler.

By Mind-Front

Description: The closest definition to this workflow is a cheaper Modular Version of Perplexity online API empowered by LLM models that outperform the Perplexity Lama Model. This flow provides a seamless way to conduct detailed web searches, extract data, and generate insightful reports based on real-time information. It provides a webhook-based flow that gets any search question and reports back the results via a multi-level web search analysis and domain-specific emulation of an agent to deliver an unbiased expert report. This Flow is Ideal for market research, competitive analysis, or any scenario where actionable, structured insights are needed. A more complete, step-by-step guide is provided within the workflow, ensuring you have all the details to set up and customize each component. This tool is designed to function similarly to Perplexity by performing semantic search, reranking, and follow-up queries. However, it offers a unique advantage—complete customization at every stage. Modify any part of the process, from query refinement to data extraction, allowing you to tailor the workflow to your specific needs. Key Features: AI-Powered Query Generation and Expert Emulation**: Uses Google Gemini to transform user queries into expert-level searches, providing accurate and context-aware results. Dual-Stage Semantic Search with Intelligent Reranking**: Performs an initial search, reranks results, and refines the query based on findings to conduct a second, more targeted search. Top-Result Data Extraction**: Extracts content from the top three results of each search, capturing relevant insights from six total sources. Customizable API Options**: Pre-configured with free APIs (Google Gemini, DuckDuckGo, and Article Extraction APIs) but easily adaptable to other APIs if preferred. Automated, Insightful Reporting**: Synthesizes data into a cohesive report, providing expert-level insights tailored to the user’s query. Instructions for API Setup: This workflow is designed to work with free-tier APIs, offering a cost-effective way to retrieve high-quality data. Here’s how to set up each API, with detailed instructions included in the workflow: Google Gemini API (for Query Generation and Analysis): Visit Google AI Studio and log in. Create a free API key under "Get API Key" → "Create API Key in New Project." The free tier includes up to 15 requests per minute, 1 million tokens per minute, and up to 1,500 requests per day. Brave Search API (for Web Search): To attain the free web search API tier from Brave, follow these steps: Visit api.search.brave.com Create an account Subscribe to the free plan (no charge) Navigate to the API Keys section Generate an API key. For the subscription type, choose "Free". Article Extraction API (for Content Extraction): Register on RapidAPI.com and subscribe to the Article Extraction API. The free plan allows up to 300 extractions per month. Enter your API key in each of the 6 extraction nodes for content retrieval. Alternative: In the workflow, we have provided the full instructions on how to replace the current flow with alternative API Keys and provided suggestions such as Scraper Tech API. Additional Tip: To use other APIs, you can generate a cURL request in RapidAPI’s playground, and then paste it into the HTTP Request node in n8n. This approach streamlines integration by automatically filling in headers and request details. Why Choose This Workflow? The Intelligent Online Web Researcher offers an all-in-one solution for complex, customizable online research. Unlike other tools that provide automated semantic search, this workflow is fully modifiable, allowing you to tailor each step, from the initial query and reranking to data extraction and reporting. With built-in instructions and a structure that’s easy to adapt, it’s ideal for commercial applications that require real-time, high-quality insights. Tags: Online Research, Web Search, Market Analysis, Web Search Automation, Data Extraction, Semantic Search, API Integration, Competitive Intelligence, Business Intelligence, Real-Time Reporting, Web Scrape, Data Crawler, Perplexity. An n8n automation workflow template by Mind-Front.

By Jimmy Lee

This workflow gathers papers in Arxiv and specific arxiv category AI helps to make summarized form of newsletter and send it to subscriber using gmail Arxive paper trend newsletter Setup Supabase Table schema user_email: Text - Mandatory arxiv_cat: [Text] interested_papers: [Text] keyword: [Text] Example { "id": 8, "created_at": "2024-09-24T12:31:17.09491+00:00", "user_email": "test@test.com", "arxiv_cat": [ "cs.AI", "cs.LG,cs.AR" ], "interested_papers": null, "keyword": [ "AI architecture which includes long context problem" ] } Qdrant vector store default setup Setup for sub workflows Get arxiv category by AI for given keyword Get arxiv categories Get arxiv papers this week and scoring by AI Filter by keyword within given documents Extract paper information Write newsletter by AI. An n8n automation workflow template by Jimmy Lee.

By Eduard

🎲 Random Data Generator 🎲 This beginner-friendly workflow allows you to generate random mock data effortlessly, without any programming or external dependencies. 🚀 Here's how it works: 📝 Provide some default values for the random generator using the "Code" node. Don't worry, no coding is needed, it's just a simple JSON! You can even use the "Ask AI" in the cloud version of n8n to generate mock values for you. These values are permanently stored in the workflow ensuring swift and reliable execution. 🔀 The "Firstname," "Lastname," and "Occupation" nodes extract invividual variables. Two Merge nodes create a combination of all possible values. Adapt this section based on your needs. 🎲 The "Random" node shuffles the generated data. 🔢 Use the "Limit" node to control the number of output items. ✨ Perform additional post-processing, such as deriving email addresses based on the user's name and surname. And there you have it! With just a few clicks, you'll have a set of realistic mock data ready to test your workflows. 🎉 Want to learn more? Check out the full tutorial on YouTube! 📺 Happy data generating! 😄. An n8n automation workflow template by Eduard.

By Miquel Colomer

This n8n workflow template uses uProc's "Get Email by Domain, Firstname and Lastname" tool to discover a professional email address, and then sends that email to a Telegram channel. > ⚠️ Note: You must set up your *uProc credentials (Email + API Key)* from the *Integration settings* before running this workflow. 🚀 What It Does Uses user-provided data: first name, last name, and company domain Calls uProc to discover the most likely email address for that person Sends the discovered email and confidence level to a Telegram group 🛠️ Step-by-Step Setup Add uProc Credentials Go to the uProc integration page and copy your email and API key. Add them as credentials in your n8n instance. Set Tool Parameters Use the Set node to define: firstname: First name of the person lastname: Last name of the person domain: Their company domain Replace the Set Node (Optional) You can dynamically fetch the firstname, lastname, and domain from other sources like: Google Sheets MySQL or Postgres Webhook or Form submissions Run the Workflow Trigger the flow manually or integrate it with a larger automation. 🔍 uProc Parameters Explained domain**: The company domain (e.g., uproc.io) firstname**: First name of the person lastname** (in parameter: language): Last name of the person mode**: verify: Verifies email in real-time with mail server guess: Guesses based on company format (e.g., firstname.lastname@domain.com) 📦 uProc Response Fields email: Discovered email address confidence: Indicates if the result is verified or risky (e.g., catch-all) score: Reliability score from 0 (unreliable) to 99 (highly reliable) 📬 Notification via Telegram After discovering the email, the result is sent to a specified Telegram channel with this format: User Miquel Colomer has next email on uproc.io: contact@uproc.io (verified - 99) Clicking the email allows you to send a message directly to the recipient. 🔐 Credentials Used uProc API** – For discovering email addresses Telegram API** – To send messages to a specific group/channel ✨ Customization Tips Loop over a list of people**: Replace the set node with a data source that contains multiple people. Filter by score or confidence** before sending. Add additional outputs**: You can send the data via Email, Slack, or save it to a database. Trigger automatically**: Combine with a webhook or time-based trigger for automation. ❓Questions? Template created by Miquel Colomer and n8nhackers.com. Need help customizing or deploying? Contact us for consulting and support. An n8n automation workflow template by Miquel Colomer.

By Marth - Business Automation

How it Works ⚙️ This workflow is your agency’s secret weapon. It’s a multi-AI-agent system that automates the entire process of competitor and market research, providing you with a complete strategic analysis in minutes. Digital Reconnaissance (Agent 1): The workflow is triggered with a client's business name and industry. The first AI agent, powered by Apify, immediately begins a deep dive into the market to identify and scrape data on the client’s top competitors. Strategic Analysis (Agent 2): All the raw data from Agent 1 is sent to the second AI agent, powered by OpenAI (GPT-4). This agent performs a sophisticated analysis to summarize competitor messaging, identify their audience, and generate a full SWOT analysis for your client. Report & Strategy Generation (Agent 3): A third AI agent, also using OpenAI, takes the strategic analysis and writes a professional, persuasive report. This report is then automatically populated into a pre-designed Google Docs template, ready for review. Instant Delivery: The final report is automatically sent to your internal team via Slack, allowing you to start your strategy meeting almost instantly after the workflow is triggered. Setup Steps 🛠️ Get Your Apify Actor: Log in to Apify and find a suitable Actor for web scraping (e.g., Google Search Results Scraper). Copy the Actor ID to use in the n8n workflow. Prepare Your Report Template: Create a new Google Doc to serve as your report template. Use placeholders like {{ client_name }}, {{ report_content }}, and {{ client_industry }} to define where the AI-generated text will go. Copy the document ID from the Google Doc URL and save it for later. Import the Workflow: Copy the provided workflow JSON and import it into your n8n instance. Configure Credentials: Apify: Add your Apify API Key. OpenAI: Add your OpenAI API Key. Google Docs: Add your OAuth2 credential. Slack: Add your Bot Token credential. Customize Workflow Nodes: Node 2 (Apify): Paste your Actor ID here. You can also customize the search queries in the Input JSON to be more specific. Node 6 (Google Docs): Paste your template's Document ID here. Ensure the Values match the placeholders you created in your template. Node 7 (Slack): Replace [YOUR MARKETING TEAM SLACK CHANNEL ID] with the correct channel ID where you want the report delivered. Activate & Test: Once all settings are configured, save the workflow. Click the "Inactive" toggle to make it live. Run a test by manually entering a client's name and industry to ensure the data flows correctly and the report is delivered. An n8n automation workflow template by Marth - Business Automation.

By David Olusola

🚀 Shopify Post-Purchase Upsell/Cross-sell Email Automation Overview This automation triggers when a new order is placed in your Shopify store. It then waits a short period, intelligently identifies complementary products based on the customer's purchase, retrieves those product details, and finally sends a personalized email showcasing the recommendations. How it works This automation triggers when a new order is placed in your Shopify store. It then waits a short period, intelligently identifies complementary products based on the customer's purchase, retrieves those product details, and finally sends a personalized email showcasing the recommendations. Order Detection: When a customer completes a purchase, the flow begins. Smart Delay: A brief pause ensures initial order confirmations are sent. Recommendation Engine: The workflow identifies relevant upsell or cross-sell products based on your predefined rules. Dynamic Email Creation: It fetches details for the recommended products and builds a visually appealing, personalized email. Email Delivery: The tailored email is sent to your customer, encouraging their next purchase. Setup Steps Getting this automation ready will take approximately 1-2 hours, including populating your product recommendations. Import Workflow: Import the provided n8n JSON file into your n8n instance. Configure Credentials: Set up your Shopify API and SMTP (email sending) credentials within n8n. Ensure your Shopify credential has read_orders and read_products permissions. Define Recommendations: Open the Generate Recommendation IDs (Code) node. Crucially, update the recommendationsMap within this node to define which products should be suggested based on specific purchased product IDs from your Shopify store. Customize Email & URLs: In the Send Upsell Email node, customize the fromEmail, subject, and the main HTML content to match your brand. Also, update YOUR_SHOPIFY_STORE_URL and YOUR_UNSUBSCRIBE_LINK placeholders in the Format Recommendations HTML (Code) and Send Upsell Email nodes. Activate & Test: Turn the workflow to Active and place a test order in your Shopify store to verify everything works as expected. (For detailed descriptions and troubleshooting, refer to the Sticky Notes located directly within the n8n workflow itself.). An n8n automation workflow template by David Olusola.

By Olivier

This template enriches HubSpot company records using real-time data from the Bedrijfsdata.nl API. It listens for changes to company properties (e.g., domain) and updates records with verified information such as KvK, LinkedIn, phone, and company size. ✨ Features Automatically enrich HubSpot company profiles with verified Dutch business data Smart fallback: match by Bedrijfsdata ID or dynamic fuzzy matching existing data Customize which HubSpot event triggers the workflow (company.propertyChange, create, etc.) Realtime integration with Bedrijfsdata.nl via their official API node Secure, modular, and extendable structure (error handling included) 🏢 Example Data from Bedrijfsdata.nl Bedrijfsdata.nl offers over 100 attributes per company. Example fields: name, address, postcode, city, province phone, email, website, linkedin_link industry_section, employees, revenue, sbi, vat bag_bouwjaar, bag_oppervlakte, bag_energielabel SEO data (keywords, backlinks), usage of software, structured descriptions Review ratings, opening hours, geo-location, etc. Example: Bedrijfsdata.nl B.V. Phone: 020-7895050 Mail: klantenservice@bedrijfsdata.nl Employees: 2-10 SBI: 6201 LinkedIn: linkedin.com/company/bedrijfsdata-nl Description: Bedrijfsdata.nl B.V. is a Dutch company that provides comprehensive data on over 3.1 million businesses in the Netherlands. They offer datasets categorized by industry, region, company [...] More fields: see developers.bedrijfsdata.nl ⚙ Requirements n8n instance or cloud workspace Install the Bedrijfsdata.nl n8n Verified Community Node HubSpot private app (OAuth2) with a webhook Bedrijfsdata.nl developer account (14-day free trial, 500 credits) 🔧 Setup Instructions Create HubSpot Private App Enable scopes for companies Add a webhook to listen to e.g. company.propertyChange on domain More info: HubSpot Private Apps Configure n8n Workflow Import this template Set your Bedrijfsdata.nl API credentials Set up HubSpot OAuth2 credentials Customize Fields (Optional) Modify the Update a company node to match your internal CRM fields Add logging, Slack notifications, or conditional branches if needed 🔐 Security Notes Workflow checks portalId, objectId, and event type Test-mode detection using a known company ID Errors are routed via dedicated error branches 🧪 Testing Create or update a company in HubSpot with a known domain Trigger the webhook from HubSpot Check n8n’s execution history Verify enrichment in HubSpot 🖼 Screenshots Before enrichment After enrichment 📌 About Bedrijfsdata.nl Bedrijfsdata.nl operates the most comprehensive company database in the Netherlands. With real-time data on 3.7M+ businesses and AI-ready APIs, we help Dutch SMEs enrich their CRM, workflows, and marketing automation. Built on 25+ years of experience in data collection and enrichment, our technology brings corporate-grade data quality to every organisation. Website: https://www.bedrijfsdata.nl Developers: developers.bedrijfsdata.nl 📞 Support Email: klantenservice@bedrijfsdata.nl Phone: +31 20 789 50 50 Support hours: Monday–Friday, 09:00–17:00 CET. An n8n automation workflow template by Olivier.

By Parth Pansuriya

AI-Powered Daily Gmail Digest Summary using LangChain & OpenRouter This n8n template helps you automatically summarize your daily Gmail messages using OpenRouter's GPT model via LangChain. It generates a structured email digest highlighting key information, tasks, issues, and action items — all delivered to your inbox every morning. Who’s it for Busy professionals who want a quick overview of their daily emails Founders or managers needing to track team or client communication Anyone looking to automate inbox triage and reduce time spent on emails How it works / What it does This n8n workflow runs every morning at 7 AM, automatically: Fetches emails from the last 24 hours Collects important fields: sender, subject, and snippets Feeds them into an AI-powered agent (OpenRouter + LangChain) The AI: Extracts key topics, tasks, deadlines, and issues Formats the info clearly with a bullet-point summary Sends the final summarized report to your inbox How to set up Clone or import the workflow into your n8n instance Replace <Your Email ID> in the Code node with your actual Gmail address (or remove if not needed) Ensure your Gmail and OpenRouter credentials are set up in n8n Update the recipient email in the Send Summary node if you want it sent to a fixed address Activate the workflow once tested How to customize the workflow Change Summary Style:** Edit the system message in the LangChain Agent to match your tone (e.g. casual, business, detailed) Adjust Digest Time:** Change the Schedule Trigger to any preferred hour Customize Recipients:** Change or add recipients dynamically or statically in the Gmail send node Filter Email Type:** Modify the Gmail query in the Code node to include filters like from:, is:unread, subject:project. An n8n automation workflow template by Parth Pansuriya.

By David Olusola

Overview This n8n workflow automates the process of sending a daily weather report for a specified city directly to your email inbox. It's a simple yet effective way to stay informed about the weather without manually checking. How It Works This workflow operates in four main steps: Daily Schedule Trigger: The workflow begins with a Cron node, which acts as a scheduler. It's configured to trigger the workflow automatically at a specific time each day (e.g., every morning at 8:00 AM). Fetch Weather Data: Next, an HTTP Request node is used to interact with the OpenWeatherMap API. This node constructs a URL to query the API for current weather conditions in a specified city (e.g., "London"). It includes parameters like units=metric (for Celsius temperatures) and your unique appid (API key) for authentication with OpenWeatherMap. Format Weather Report: A Code node receives the raw JSON weather data from the OpenWeatherMap API. Inside this node, JavaScript code extracts relevant information such as city name, weather description, temperature (current and "feels like"), humidity, and wind speed. It then formats this information into a human-readable text string, creating the actual weather report message. Send Email Report: Finally, a Gmail node takes the formatted weather report from the Code node. It uses your configured Gmail credentials to send an email to your specified recipient address. The email's subject line dynamically includes the city name, and the body contains the full formatted weather report. Setup Steps To get this workflow up and running, follow these instructions: Step 1: Get Your OpenWeatherMap API Key Go to the OpenWeatherMap website. Sign up for a free account if you don't already have one. Once logged in, navigate to the "API keys" section of your profile. Copy your unique API key. You will need this in Step 4. Step 2: Create Gmail Credentials in n8n In your n8n instance, click on Credentials in the left sidebar. Click New Credential. Search for and select "Gmail OAuth2 API" or "Gmail API" (OAuth2 is generally preferred). Follow the on-screen instructions to connect your Gmail account. This usually involves clicking an "Authenticate with Google" button and granting n8n the necessary permissions. Save the credential. Make note of the Credential Name (e.g., "My Gmail Account"). An n8n automation workflow template by David Olusola.

By Jimleuk

There's a clear need for an easier way to manage attendee photos from live events, as current processes for collecting, sharing, and categorizing them are inefficient. n8n can indeed help to solve this challenge by providing the data input interface via its forms and orchestrate AI-powered classification of images using AI nodes. However, in some cases - say you run regular events or with high attendee counts - the volume of photos may result in unsustainably high inference fees (token usage based billing) which could make the project unviable. To work around this, Featherless.ai is an AI/LLM inference service which is subscription-based and provides unlimited tokens instead. This means costs are essentially capped for AI usage offering greater control and confidence on AI project budgets. Check out the final result here: https://docs.google.com/spreadsheets/d/1TpXQyhUq6tB8MLJ3maeWwswjut9wERZ8pSk_3kKhc58/edit?usp=sharing How it works A form trigger is used share a form interface to guests to upload their photos from their device. The photos are in one branch, are optimised in size before sending to a vision-capable LLM to classify and categorise against a set list of tags. The model inference service is provided by Featherless and takes advantage of their unlimited token usage subscription plan. The photos in another branch are copied into Google Drive for later reference. Once both branches are complete, the classification results and Google Drive link are appended to a Google Sheets table allowing for quick sorting and filtering of all photos. How to use Use this workflow to gain an incredible productivity boost for social media work. When all photos are organised and filter-ready, editors spend a fraction of the time to get community posts ready and delivered. Sharing the completed Google sheet with attendees helps them to better share memories within their own social circles. Requirements FeatherLess.ai) account for Open Source Multimodal LLMs and unlimited token usage. Google Drive for file storage Google Sheet for organising photos into categories Customising this workflow Feel free to refine the form with custom styles to match your branding. Swap out Google services with equivalents to match your own environment. eg. Sharepoint and Excel. An n8n automation workflow template by Jimleuk.

By Jimleuk

Generating contextual summaries is an token-intensive approach for RAG embeddings which can quickly rack up costs if your inference provider charges by token usage. Featherless.ai is an inference provider with a different pricing model - they charge a flat subscription fee (starting from $10) and allows for unlimited token usage instead. If you're typically spending over $10 - $25 a month, you may find Featherless to be a cheaper and more manageable option for your projects or team. For this template, Featherless's unlimited token usage is well suited for generating contextual summaries at high volumes for a majority of RAG workloads. LLM: moonshotai/Kimi-K2-Instruct Embeddings: models/gemini-embedding-001 How it works A large document is imported into the workflow using the HTTP node and its text extracted via the Extract from file node. For this demonstration, the UK highway code is used an an example. Each page is processed individually and a contextual summary is generated for it. The contextual summary generation involves taking the current page, preceding and following pages together and summarising the contents of the current page. This summary is then converted to embeddings using Gemini-embedding-001 model. Note, we're using a http request to use the Gemini embedding API as at time of writing, n8n does not support the new API's schema. These embeddings are then stored in a Qdrant collection which can then be retrieved via an agent/MCP server or another workflow. How to use Replace the large document import with your own source of documents such as google drive or an internal repo. Replace the manual trigger if you want the workflow to run as soon as documents become available. If you're using Google Drive, check out my Push notifications for Google Drive template. Expand and/or tune embedding strategies to suit your data. You may want to additionally embed the content itself and perform multi-stage queries using both. Requirements Featherless.ai Account and API Key Gemini Account and API Key for Embeddings Qdrant Vector store Customising this workflow Sparse Vectors were not included in this template due to scope but should be the next step to getting the most our of contextual retrieval. Be sure to explore other models on the Featherless.ai platform or host your own custom/finetuned models. An n8n automation workflow template by Jimleuk.

By Marth - Business Automation

How It Works ⚙️ This workflow is a comprehensive, multi-AI-agent system that acts as a virtual property analysis team. It automates the entire process from initial data research to final report delivery. Data Research (AI Agent 1): The workflow is triggered by an input of a property address. The first AI agent, powered by Google Search, immediately scours the web to gather all relevant public data, including historical sales data, local rental prices, and nearby amenities. Market Analysis (AI Agent 2): All the raw data from the first agent is consolidated. A second AI agent, powered by OpenAI, then performs a deep, intelligent analysis. It identifies key insights, calculates potential rental yield, and assigns a definitive "Investment Score." Report Generation (AI Agent 3): A third AI agent, also using OpenAI, takes the structured analysis and writes a professional, persuasive report. The report is then automatically populated into a pre-designed Google Docs template, ensuring a polished and professional look. Database Logging & Delivery: The final report is automatically converted to a PDF and sent to the client via Gmail. Simultaneously, the key findings (address, score, key takeaways) are logged into an Airtable database for quick reference and tracking. How to Set Up 🛠️ Import the Workflow: Copy the provided workflow JSON and import it into your n8n instance. Configure Credentials: Google Search: Add your API Key. OpenAI: Add your API Key. Google Docs: Add your OAuth2 credential. Airtable: Add your API Key and token. Gmail: Add your OAuth2 credential. Customize Workflow Nodes: Node 6 (Google Docs): Create a new Google Doc to serve as your report template. Use placeholders like {{ report_content }} and {{ property_address }} to define where the AI-generated text will go. Then, copy the document ID from the URL and paste it into this node's parameters. Node 7 (Airtable): Replace [YOUR AIRTABLE BASE ID] and Property Reports with your specific Airtable base and table names. Ensure your table has columns that match the data you are sending (Property Address, Investment Score, etc.). Save & Activate: Once all settings and credentials are configured, save the workflow and click the "Inactive" toggle in the top-right corner to make it live. An n8n automation workflow template by Marth - Business Automation.

By vinci-king-01

How it works This workflow automatically analyzes website visitors in real-time, enriches their data with company intelligence, and provides lead scoring and sales alerts. Key Steps Webhook Trigger - Receives visitor data from your website tracking system. AI-Powered Company Intelligence - Uses ScrapeGraphAI to extract comprehensive company information from visitor domains. Visitor Enrichment - Combines visitor behavior data with company intelligence to create detailed visitor profiles. Lead Scoring - Automatically scores leads based on company size, industry, engagement, and intent signals. CRM Integration - Updates your CRM with enriched visitor data and lead scores. Sales Alerts - Sends real-time notifications to your sales team for high-priority leads. Set up steps Setup time: 10-15 minutes Configure ScrapeGraphAI credentials - Add your ScrapeGraphAI API key for company intelligence gathering. Set up HubSpot connection - Connect your HubSpot CRM to automatically update contact records. Configure Slack integration - Set up your Slack workspace and specify the sales alert channel. Customize lead scoring criteria - Adjust the scoring algorithm to match your target customer profile. Set up website tracking - Configure your website to send visitor data to the webhook endpoint. Test the workflow - Verify all integrations are working correctly with a test visitor. Key Features Real-time visitor analysis** with company intelligence enrichment Automated lead scoring** based on multiple factors (company size, industry, engagement) Intent signal detection** (pricing interest, demo requests, contact intent) Priority-based sales alerts** with recommended actions CRM integration** for seamless lead management Deal size estimation** based on company characteristics. An n8n automation workflow template by vinci-king-01.

By vinci-king-01

How it works This workflow automatically monitors supplier health and supply chain risks, providing real-time alerts and daily reports to procurement teams. Key Steps Daily Risk Check - Runs the workflow every morning at 9:00 AM to assess supplier health. Multi-Source Data Collection - Scrapes supplier websites, investor relations pages, and industry news for risk indicators. AI-Powered Risk Analysis - Uses ScrapeGraphAI to extract and analyze financial status, operational issues, and regulatory problems. Risk Scoring Engine - Calculates comprehensive risk scores (1-10) based on multiple factors including financial health, operational disruptions, and news sentiment. Alternative Supplier Discovery - Automatically searches for backup suppliers when high-risk situations are detected. Smart Alert System - Routes notifications based on risk levels: immediate alerts for high-risk suppliers, daily summaries for normal operations. Multi-Channel Notifications - Sends alerts via Slack and detailed reports via email to procurement teams. Set up steps Setup time: 10-15 minutes Configure ScrapeGraphAI credentials - Add your ScrapeGraphAI API key for web scraping capabilities. Set up Slack integration - Connect your Slack workspace and configure the #procurement-alerts and #supply-chain-updates channels. Configure email settings - Set up email credentials for detailed reports to procurement teams. Customize supplier URLs - Update the supplier website URLs to monitor your specific suppliers. Adjust risk thresholds - Modify the risk scoring parameters based on your industry and risk tolerance. Set notification preferences - Configure alert conditions and message formatting for your team's needs. An n8n automation workflow template by vinci-king-01.

By vinci-king-01

How it works This workflow automatically discovers industry conferences and provides AI-powered networking intelligence to maximize your event ROI. Key Steps Scheduled Discovery - Runs weekly to find new industry conferences from Eventbrite and other sources. AI-Powered Scraping - Uses ScrapeGraphAI to extract comprehensive conference information including speakers, agenda, and networking opportunities. Speaker Intelligence - Analyzes speakers to identify high-priority networking targets based on their role, company, and expertise. Agenda Analysis - Extracts and maps the complete conference schedule to optimize your time and networking strategy. Networking Strategy - Generates AI-powered recommendations for maximizing networking ROI with prioritized contact lists and approach strategies. Set up steps Setup time: 10-15 minutes Configure ScrapeGraphAI credentials - Add your ScrapeGraphAI API key for web scraping capabilities. Customize conference sources - Update the Eventbrite URL to target specific industries or locations. Adjust monitoring frequency - Modify the weekly trigger to match your conference discovery needs. Review networking priorities - The system automatically prioritizes speakers, but you can customize the criteria. Key Features Automated Conference Discovery** - Finds relevant industry events from multiple sources Speaker Intelligence Analysis** - Identifies high-value networking targets with contact priority scoring Strategic Agenda Mapping** - Optimizes your conference schedule for maximum networking impact AI-Powered Recommendations** - Provides personalized networking strategies and approach methods Priority Contact Lists** - Ranks speakers by business value and networking potential. An n8n automation workflow template by vinci-king-01.

By vinci-king-01

How it works This workflow automatically monitors government regulatory changes and provides comprehensive compliance tracking and executive alerts. Key Steps Scheduled Monitoring - Runs daily at 9 AM to check for new regulatory changes from government sources. AI-Powered Scraping - Uses ScrapeGraphAI to extract regulatory information from Federal Register and government websites. Impact Assessment - Analyzes each regulation for business impact, risk factors, and compliance requirements. Compliance Tracking - Creates detailed tracking records with assigned teams, deadlines, and action items. Executive Alerts - Sends prioritized alerts to relevant teams based on impact level and urgency. Set up steps Setup time: 10-15 minutes Configure ScrapeGraphAI credentials - Add your ScrapeGraphAI API key for web scraping capabilities. Set up email connections - Configure email service to send executive alerts to compliance and legal teams. Customize monitoring targets - Update the government website URLs to monitor specific agencies or regulatory bodies. Adjust alert recipients - Configure email distribution lists for different impact levels (Critical, High, Medium, Low). Set up compliance tracking - Integrate with your project management system for task assignment and progress tracking. Key Features Automated Impact Assessment** - Uses AI to evaluate regulatory impact on your business sectors Priority-Based Alerts** - Sends urgent notifications for critical regulations requiring immediate attention Compliance Task Generation** - Automatically creates compliance checklists and action items Team Assignment** - Routes regulations to appropriate teams based on impact level Deadline Tracking** - Monitors comment deadlines, effective dates, and review timelines. An n8n automation workflow template by vinci-king-01.

By Jimmy Gay

🤖 Automated SEO Audit with a Team of AI Specialists This workflow performs a comprehensive, automated monthly SEO and performance audit for any website. It uses a "team" of specialized AI agents to analyze data from multiple sources, aggregates their findings, and generates a final strategic report. Every month, it automatically fetches data from Google Analytics, Google Search Console, and Google PageSpeed Insights, and also performs a live crawl of the target website's homepage. Key Features Fully Automated**: Runs on a schedule to deliver monthly reports without manual intervention. Multi-Source Analysis**: Gathers data from four key marketing sources for a 360° view. AI Agent Team**: Uses a sophisticated multi-agent system where each AI specializes in one area (Analytics, Performance, Technical SEO). Master Analyst**: A final AI agent synthesizes all specialist reports into a single, actionable strategic plan. Automated Storage**: All individual and final reports are automatically saved to a designated Google Sheet. ⚙️ Setup Instructions To use this template, you must configure your credentials and set your target website. 1. Set Your Target Domain (Crucial!): Find the Set Target Website node at the beginning of the workflow. In the "Value" field, replace https://www.your-website.com with the URL of the website you want to audit. This will update the URL across the entire workflow automatically. 2. Configure the Schedule Trigger: Click on the Schedule Trigger node to set when you want the monthly report to run. 3. Connect Your Google Credentials: Google Analytics**: Select your credential in the Get a report node. Google Search Console**: Select your credential in the Search Console (HTTP Request) node. Google Sheets*: Select your credential in *all Google Sheets nodes. Google PageSpeed API Key**: Go to the "Credentials" tab in n8n and create a new "Generic Credential" with the type "API Key - Query Param". Name it Google API Key. The "Parameter Name" must be key. Paste your PageSpeed API key into the "API Key" field. Go back to the PageSpeed Insight node, select "API Key - Query Param" for Authentication, and choose your new credential. 4. Connect OpenAI Credentials: This template uses multiple OpenAI Chat Model nodes. Configure each one with your OpenAI API key. 5. Set Your Google Sheet: In each of the Google Sheets nodes, replace the hardcoded "Document ID" with the ID of your own Google Sheet where you want to store the reports. 🔬 Workflow Explained Phase 1: Data Collection: The Schedule Trigger starts the workflow. Four parallel branches collect data from Google Analytics, PageSpeed Insights, Search Console, and a direct website crawl. Phase 2: Data Processing & Specialist Analysis: Each data source is processed by a dedicated Code node to format the data. The formatted data is then sent to a specialized AI agent (ANALYTICS SPECIALIST, PERFORMANCE SPECIALIST, etc.) for in-depth analysis. Phase 3: Report Aggregation: A Merge node waits for all four specialist reports to be completed. A DATA AGGREGATOR node then combines them into a single, comprehensive package. Phase 4: Master Synthesis & Storage: The final MASTER ANALYST agent receives the aggregated data and produces a high-level strategic summary with actionable recommendations. This final report is then saved to Google Sheets. An n8n automation workflow template by Jimmy Gay.

By WeblineIndia

This n8n workflow automatically fetches all interview events scheduled for today from a specified Google Calendar and sends a personalized email to each interviewer. The email contains a formatted HTML table listing their interview details, including meeting times, Google Meet links, and attendees with their response status. This ensures all interviewers are informed daily at 8:00 AM IST without any manual coordination. Who’s it for Interviewers** who want a quick morning packet instead of opening multiple calendar tabs. Recruiters/coordinators** who need a reliable, zero‑friction daily brief for interviewers. Teams** that paste CV/notes links directly into calendar events (no file search required). How it works Cron triggers daily at 08:00 IST. Google Calendar reads today’s events from the Interviews calendar. A Code step parses each event to identify interviewers and extract candidate details, meeting link, and any CV: / Notes: links from the description and create a table to share via Gmail. A grouping step compiles a per‑interviewer list for the day. Email (Gmail) sends one digest to interviewer. How to set up Ensure all interviews are scheduled on the Google Calendar named Interviews and that interviewers are added as attendees. Add CV: <url> and Notes: <url> in the event description when available. Import the workflow and add credentials: Google Calendar (OAuth) SMTP/Gmail for sending the email digests Keep the default 08:00 IST schedule in the Cron node or adjust as needed. Requirements Google Workspace account with access to the Interviews calendar. Gmail sender account for digests (App Password if using 2FA). n8n instance (cloud or self‑hosted). Steps Trigger Schedule Node:** Schedule Trigger Purpose:* Starts the workflow daily at *8:00 AM**. Fetch Interview Events Node:** Google Calendar(Fetch Interview Events) Purpose:** Retrieves all events (interviews) from the configured calendar. Output:** Event details including summary, time, and organizer email. Group & Format Schedule Node:** HTML Table (JavaScript Code Node) Purpose:** Groups events by interviewer email and generates an HTML schedule table. Output:** Formatted fields: interviewer_email subject htmlContent Send Personalized Emails Node:** Gmail Purpose:** Sends the formatted interview schedule to each interviewer’s email address. Send To:** Dynamically set using ={{ $json.interviewer_email }} Subject:** "Interview Reminder" Body:** ={{ $json.htmlContent }} (HTML) How to customize the workflow Parsing rules:** If your event titles follow a pattern (e.g., Onsite – {Candidate} – {Role}), tweak the regex in the Code node. Attendee logic:** Refine how interviewers are detected (e.g., filter only accepted responses, or include tentative). Digest format:** Adjust table columns/order, or add role/team labels from the title. Schedule:** Duplicate the Cron for regional time zones or add a midday refresh. Add-ons to level up the Workflow with additional nodes Reminder pings:** Add 10‑minute pre‑interview reminders via Email or Slack/Teams. Conflict alerts:** Flag if an interviewer is double‑booked within a 15‑minute window. Feedback follow‑up:** After the scheduled time, DM or email a standardized feedback form link. Drive search (optional):** If you later want auto‑attach CVs, add a Google Drive search step (by candidate name) in a designated folder. Common troubleshooting points No events found:* Confirm the calendar name is *Interviews* and that events exist *today**. Missing links:** If CV/notes links aren’t in the email, add CV:/Notes: links to the event description. Email not sent:** Verify SMTP credentials, from‑address permissions, and any sending limits. Time mismatch:* Confirm workflow timezone and Calendar times are set to *Asia/Kolkata** (or adjust). A short note If you need help tailoring the parsing rules, adjusting the schedule or troubleshooting any step, feel free to reach out we will happy to help. An n8n automation workflow template by WeblineIndia.

By Marth - Business Automation

How to Set Up 🛠️ Setting up this powerful CRM system is a straightforward process that connects your lead sources, your database, and your communication channels. The core steps involve preparing your database, importing the workflow, and then customizing the nodes to match your business rules. Setup Steps: Prepare Your Database: Create a new Google Sheet (or Airtable Base) to serve as your central CRM database. Title the sheet Loan Agency CRM and create the following columns in the first row: Name, Phone Number, Loan Type, Assigned Agent, Status, Date Captured. This will be the single source of truth for all your leads. Import the Workflow: Copy the provided workflow JSON and import it into your n8n instance. This will create both the "Lead Intake" and "Status Update" workflows. Configure Integrations: Webhook: This node is the entry point. Simply copy the generated URL to use in your lead form integrations. Google Sheets: Add your Google Sheets credential. Replace [YOUR SPREADSHEET ID] with the ID from your newly created sheet. Twilio / WhatsApp: Add your communication credential. Replace [YOUR TWILIO NUMBER] with your number. Google Drive (for documents): Add your credential and specify a secure folder ID where documents will be stored. Customize Business Logic: Node (Auto-Assign Agent): Open this Function node and edit the JavaScript code. Change the agent names, loan types, and locations to match your specific team and business rules. Node (Twilio): If you have a list of agent phone numbers, you can use a lookup expression here to automatically send the notification to the right person. Connect Your Lead Sources: Go to your Facebook Lead Ads, Google Forms, or website forms. In the integration settings, paste the Webhook URL you copied from n8n. This will ensure that every new lead is automatically sent to your CRM system. Activate & Test: Once all settings are configured, save the workflow. Click the "Inactive" toggle to make it live. Run a test by submitting a dummy lead through one of your forms to ensure the data flows correctly into your Google Sheet and an agent is notified. An n8n automation workflow template by Marth - Business Automation.

By Rish

Automatically sync your YouTube channel videos with Airtable for comprehensive content management, analytics tracking, and bulk video updates. How it works This workflow creates a powerful bridge between your YouTube channel and Airtable database, enabling you to: Fetch & Analyze: Retrieves all videos from your YouTube channel and extracts detailed metadata including views, likes, duration, and publishing information Smart Filtering: Automatically filters videos based on your criteria (public videos over 3 minutes) to focus on meaningful content Database Sync: Creates organized records in Airtable with all video data formatted for easy analysis and reporting Bulk Updates: Provides a secondary workflow path to update multiple YouTube videos directly from your Airtable data The workflow processes videos in batches to prevent API rate limiting and ensure reliable execution, making it suitable for channels of any size. Set up steps Time required: 15-20 minutes Prerequisites YouTube channel with videos Airtable account with a prepared base Basic understanding of API credentials 1. YouTube API Setup (5 minutes) Create a Google Cloud project and enable YouTube Data API v3 Generate OAuth2 credentials for YouTube access Configure your OAuth consent screen 2. Airtable Configuration (8 minutes) Create an Airtable base with two tables: Main table for video storage with fields: VideoID, Video Name, Publishing Date, Description, Thumbnail, Views, Likes, Duration Vid_Update table for videos you want to update on YouTube Generate a Personal Access Token in Airtable Note your base ID and table IDs 3. n8n Workflow Setup (5 minutes) Import the workflow into your n8n instance Add your YouTube OAuth2 credentials Add your Airtable Personal Access Token Update the Airtable base and table IDs in the workflow nodes Test the connection to both services 4. Customization (2 minutes) Adjust the video filter criteria if needed (currently set to public videos over 3 minutes) Modify the region code if your audience is outside India Set up scheduling if you want automatic syncing Key Features Batch Processing**: Handles large video libraries without API timeouts Data Transformation**: Converts YouTube's ISO 8601 duration format to seconds for easy analysis Dual Functionality**: Both one-way sync (YouTube → Airtable) and update capability (Airtable → YouTube) Smart Filtering**: Focuses on public, substantial content (>3 minutes) Error Handling**: Robust processing with built-in safeguards Use Cases Content creators tracking video performance Marketing teams analyzing YouTube metrics Agencies managing multiple channels Bulk video metadata updates Content calendar planning and analysis. An n8n automation workflow template by Rish.

By Max Mitcham

An intelligent automation workflow that processes website demo requests, qualifies leads using AI-powered analysis, and automatically nurtures prospects through personalized follow-up sequences to maximize conversion rates. Overview This workflow transforms raw website leads into qualified prospects through intelligent filtering, enrichment, and personalized nurturing. It combines AI-powered qualification with automated follow-up to ensure high-quality leads receive immediate attention while nurturing those needing additional touchpoints. 🔄 Workflow Process 1. Entry Point - Webhook Website form submission capture Receives demo requests from website forms in real-time Captures lead data including LinkedIn URL, email, use case, and referral source 2. Initial Routing Filter Source-based lead classification Filters out low-quality leads from "lead_capture_box" sources Routes qualified submissions to enrichment process 3. Lead Enrichment Comprehensive data enhancement Enriches LinkedIn profile data via Trigify API Gathers additional company and professional intelligence 4. AI Qualification Engine Intelligent prospect evaluation Uses Claude AI to assess lead quality across multiple criteria: B2B company validation Geographic filtering (US, UK, Europe, Australia) Senior-level job titles or strategic keywords Current employment verification 5. Booking Verification Check Conversion status validation Checks Cal.com API to verify demo scheduling Routes booked leads to completion, non-booked to nurturing 6. AI-Powered Follow-up Research Personalized nurturing preparation Researches prospect's company using AI and web search Generates personalized follow-up messaging based on use case and company context 7. Email Campaign Integration Automated nurturing execution Adds qualified, non-booking leads to Instantly.ai email campaigns Includes personalized research for tailored outreach 🛠️ Technology Stack n8n**: Workflow orchestration Trigify API**: Lead enrichment Claude AI**: Qualification and personalized research Clay**: CRM integration Cal.com API**: Booking verification Instantly.ai**: Email campaign automation ✨ Key Features Real-time lead processing and AI-powered qualification Geographic and demographic filtering for market focus Automated booking verification and conversion tracking Personalized follow-up research and content generation Multi-platform integration for seamless lead management 🎯 Ideal Use Cases Perfect for B2B companies with demo-driven sales processes: SaaS companies requiring product demonstrations B2B service providers needing qualified prospect identification Sales teams managing high-volume inbound lead qualification Organizations with international markets requiring geographic focus 📈 Business Impact Transform website visitors into qualified sales opportunities: Lead Quality Enhancement**: AI filtering ensures only qualified prospects reach sales Conversion Optimization**: Systematic follow-up increases demo booking rates Sales Efficiency**: Automated qualification frees teams for high-value activities Personalized Engagement**: Research-driven follow-up increases response rates 💡 Strategic Advantage This workflow creates a sophisticated qualification funnel that combines automation with personalization. By using AI-powered assessment and research-driven follow-up, it ensures qualified prospects receive appropriate attention while preventing resource waste on unqualified leads. The system maximizes the value extracted from every website visitor by focusing sales efforts on highest-probability opportunities while automatically nurturing prospects who need additional touchpoints to convert. An n8n automation workflow template by Max Mitcham.

By Evoort Solutions

Workflow: Auto-Translate WordPress Posts Using AI Translate Pro This n8n workflow automates the translation of WordPress blog content into any language using the AI Translate Pro API, and inserts the translated text into a Google Doc. 📌 Workflow Steps Manual Trigger Initiates the workflow manually (can be replaced with a webhook or schedule trigger). WordPress Node Retrieves a specific blog post (by ID) from your WordPress site using the REST API. HTTP Request Node Sends the blog content to AI Translate Pro via multipart/form-data. Google Docs Node Appends the translated text into a specified Google Document using Google Docs API. 🌍 API Usage: AI Translate Pro Endpoint: POST https://ai-translate-pro.p.rapidapi.com/translate.php Content-Type: multipart/form-data Required Parameters: | Field | Type | Description | |-----------|--------|-----------------------------------------| | text | string | The text or HTML content to translate | | language| string | Target language (e.g., Hindi, French) | Headers: | Header Name | Value | |---------------------|---------------------------------------| | x-rapidapi-host | ai-translate-pro.p.rapidapi.com | | x-rapidapi-key | Your RapidAPI key | ✅ Benefits of Using AI Translate Pro ⚡ Fast AI-Powered Translation – Instantly translate content with no need for manual input. 🌎 Supports Multiple Languages – Easily switch languages to serve global audiences. 🧠 Context-Aware – More accurate than basic dictionary translation tools. 🛠 Easy Integration with n8n – No-code/low-code implementation. 🗃 Content Reuse – Save translations directly into Google Docs for future use or edits. 💼 Cost-Effective – Efficient alternative to expensive manual translation services. 🛠️ Problems Solved ❌ Manual copy-pasting into Google Translate ❌ Limited or slow in-house translation ❌ Difficulty managing multilingual content ❌ Inconsistent formatting or storage ✅ With AI Translate Pro, translations are fast, automated, and saved where your team can access them instantly. ✅ Example Use Case Translate WordPress blog posts from English to Hindi. Store translated content in Google Docs for editing or reuse. Expand to multilingual sites with a simple language switch. Use AI Translate Pro in any low-code or no-code platform like n8n. 📎 Requirements WordPress REST API credentials RapidAPI access to AI Translate Pro Google Docs API service account 🔗 More Info Explore full documentation and pricing on the AI Translate Pro RapidAPI listing page. Create your free n8n account and set up the workflow in just a few minutes using the link below: 👉 Start Automating with n8n Save time, stay consistent, and grow your LinkedIn presence effortlessly!. An n8n automation workflow template by Evoort Solutions.

By Halfbit 🚀

AI-Powered Invoice Processing: from Email to Database & Chat Notifications Automatically process PDF invoices directly from your email inbox. This workflow uses AI to extract key data, saves it to a PostgreSQL database, and instantly notifies you about the new document in your preferred chat application. The workflow listens for new emails, fetches PDF attachments, and then passes their content to a Large Language Model (LLM) for intelligent recognition and data extraction. Finally, the information is securely archived in the database, and a summary of the invoice is sent as a notification. > 📝 This workflow is highly customizable. > It uses PostgreSQL, OpenAI (GPT), and Discord by default, but you can easily swap these components. > Feel free to use a different database like MySQL or Airtable, another AI model provider, or send notifications to Slack, MS Teams, or any other chat platform. > ⚠️ Note: If the workflow fails to extract data correctly from invoices issued by certain companies, you may need to adjust the prompt used in the Basic LLM Chain node to improve parsing accuracy. Use Case Automating accounts payable for small businesses and freelancers Centralizing financial documents without manual data entry Creating a searchable database of all incoming invoices Receiving real-time notifications for new financial commitments Features 📧 Email Trigger (IMAP):** Monitors a dedicated email inbox for new messages with attachments 📄 PDF Filtering:** Automatically identifies and processes only PDF attachments 🤖 AI-Powered Data Extraction:** Uses an LLM (e.g., GPT-4o-mini) to extract invoice number, buyer/seller details, amounts, currency, and due dates ⚙️ Structured Data Output:** Converts AI output to standardized JSON 🔍 Database Write Logic:** Prevents duplicates by checking invoice/company combo 🗄️ PostgreSQL Integration:** Stores extracted data into company and invoice tables 💬 Chat Notifications:** Sends invoice summary as message to a designated channel Setup Instructions ⚠️ API Access & Costs To use the AI extraction feature, you need an API key from a provider like OpenAI. Most providers charge for access to language models. You'll likely need a billing account. 1. PostgreSQL Database Configuration Ensure your database has the following tables: -- Table for companies (invoice issuers) CREATE TABLE company ( id SERIAL PRIMARY KEY, tax_number VARCHAR(255) UNIQUE NOT NULL, name VARCHAR(255), address TEXT, created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP ); -- Table for invoices CREATE TABLE invoice ( id SERIAL PRIMARY KEY, company_id INTEGER REFERENCES company(id), invoice_number VARCHAR(255) NOT NULL, -- Add other fields: total_to_pay, currency, due_date created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP, UNIQUE(company_id, invoice_number) ); Then, in n8n, create a credential for your PostgreSQL DB. 2. Email (IMAP) Configuration In n8n, add credentials for the email account that receives invoices: IMAP host IMAP port Username Password 3. AI Provider Configuration Log in to OpenAI (or similar provider) Generate API key In n8n, create credentials and paste the key 4. Chat Notification (Discord) Go to Discord > Server Settings > Integrations > Webhooks > New Webhook Select channel Copy Webhook URL In n8n, paste URL into the Discord node Placeholders and Fields to Fill | Placeholder | Description | Example | |---------------------------|-------------------------------------------|------------------------------------------| | YOUR_EMAIL_CREDENTIALS | Your IMAP email account in n8n | My Invoice Mailbox | | YOUR_OPENAI_CREDENTIALS | API credentials for AI model | My OpenAI Key | | YOUR_POSTGRES_CREDENTIALS| Your PostgreSQL DB credentials in n8n | My Production DB | | YOUR_DISCORD_WEBHOOK | Webhook URL for your chat system | https://discord.com/api/webhooks/... | Testing the Workflow Send a test invoice to the inbox as a PDF attachment Run the workflow manually in n8n and check if the IMAP node fetches the message Verify AI Extraction – inspect the LLM output (e.g., GPT node) and confirm structured JSON Check the DB – ensure new rows appear in company and invoice Check the chat – verify the invoice summary appears in the chosen channel Customization Tips Change the DB:** Use MySQL, Airtable, or Google Sheets instead of PostgreSQL Other notifications:** Swap Discord for Slack, MS Teams, Telegram, etc. Expand AI logic:** Extract line items, prices, etc. by customizing the prompt Add payment logic:** Allow marking invoices as paid via emoji or a separate webhook. An n8n automation workflow template by Halfbit 🚀.

By AI/ML API | D1m7asis

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. n8n Workflow Template: AI‑Powered Mental Health Support Bot Overview: This template enables you to build a Telegram bot that delivers real‑time, empathetic mental health support. Incoming messages tagged with #vent, #insight, or #cope are routed to GPT‑4o via the AI/ML API, which returns tailored, compassionate responses. How it works: Telegram Trigger listens for new chat messages or voice notes. Show Typing Indicator immediately signals “typing…” in the chat. Switch Node examines the text prefix and routes to one of four branches (Vent, Insight, Cope, or default). Set Prompt nodes build a JSON payload with a specific role‑play prompt for each branch. AI/ML API node (model gpt-4o) generates the response. Telegram node sends the AI’s answer back to the user. Setup Steps: Connect your Telegram bot token in the Telegram credentials. Add your AI/ML API key (GPT‑4o) in n8n’s credential settings. Activate the workflow and deploy your n8n instance webhook URL to BotFather. Test by sending #vent I’m stressed, #insight Why do I feel…, or any tag in your Telegram chat. This plug‑and‑play workflow brings AI‑driven emotional support directly into Telegram. An n8n automation workflow template by AI/ML API | D1m7asis.

By Fahmi Fahreza

Quick overview This workflow uses the NEW native Google Gemini node in n8n to analyze videos and generate detailed text summaries. Just upload a video, and Gemini will describe the scenes, objects, and actions frame by frame. How it works The workflow is triggered via a form where the user uploads a video file directly as the input source. The uploaded video is sent to Gemini 2.5 Pro, which performs a detailed visual analysis of the full video content. Gemini returns a structured text summary describing everything it identifies and observes within the uploaded video. Setup Connect your Google AI (Gemini) credentials in the n8n Credential Manager before activating the workflow. Save and activate the workflow to make the Form Trigger URL accessible and ready to receive video uploads. Open the Form Trigger URL, upload a video file, submit the form, and verify that Gemini returns a detailed description. Requirements An n8n instance (Cloud or Self-Hosted) A Google AI (Gemini) account Customization Translate the Summary : Add another LLM node to translate the analysis. Create Social Media Posts : Use the output to generate Twitter or LinkedIn content. Store the Output : Save the summary to Google Sheets or Airtable. Automate with Cloud Storage : Replace the Form Trigger with a Google Drive or Dropbox trigger to process videos automatically. Additional info Published by Fahmi Fahreza, Indonesia’s first official n8n Brand Ambassador and founder of WithMi Automation, built from real client implementations, not tutorials. → Let us build it for you: withmiautomation.com → Learn to build it yourself: academy.withmiautomation.com → Bring Fahmi to your team (training, workshop, talkshow): fahmiiireza.com. An n8n automation workflow template by Fahmi Fahreza.

By Fahmi Fahreza

Quick overview Keep a historical, structured copy of your QuickBooks Chart of Accounts in BigQuery. This n8n workflow runs weekly, syncing new or updated accounts for better reporting and long-term tracking. How it works Every Monday, the workflow automatically fetches all accounts created or updated in the past 7 days from QuickBooks Online. The raw API response is cleaned, currencies are managed, stable IDs are created, and all fields are formatted consistently for downstream use. The cleaned data is converted into an SQL insert-ready structure compatible with the target BigQuery table schema. Account records are inserted or updated in BigQuery, keeping your data warehouse in sync with QuickBooks on a weekly basis. Setup Create a BigQuery table (e.g., quickbooks.accounts) with columns that match the fields produced in the final SQL insert step of the workflow. Connect your QuickBooks Online and BigQuery credentials in the n8n Credential Manager before making any further configuration changes. Open the Get Updated Accounts from QuickBooks node and replace {COMPANY_ID} with your real Company ID — press Ctrl + Alt + ? inside QuickBooks to find it. Open the Load Accounts to BigQuery node, select the correct project, and verify that your dataset and table name are correctly referenced in the SQL query. Save and activate the workflow — it will now run automatically every Monday and sync the past 7 days of QuickBooks account data to BigQuery. Requirements QuickBooks Online account QuickBooks Company ID Google Cloud project with BigQuery and a matching table Customization Change Sync Frequency : Adjust the schedule node to run daily, weekly, etc. Initial Backfill : Temporarily update the API query to select * from Account for a full pull. Add Fields : Modify 2. Structure Account Data to include or transform fields as needed. Additional info Published by Fahmi Fahreza, Indonesia’s first official n8n Brand Ambassador and founder of WithMi Automation, built from real client implementations, not tutorials. → Let us build it for you: withmiautomation.com → Learn to build it yourself: academy.withmiautomation.com → Bring Fahmi to your team (training, workshop, talkshow): fahmiiireza.com. An n8n automation workflow template by Fahmi Fahreza.

By Marth - Business Automation

How It Works ⚙️ This workflow is a comprehensive, AI-powered system that acts as a virtual support manager. It automates the entire process of handling incoming support tickets, ensuring speed, accuracy, and efficiency. Ticket Ingestion: The workflow starts when a new email arrives in your support inbox via the Gmail Trigger. AI Analysis & Triage: An OpenAI node acts as an intelligent agent, instantly analyzing the email to categorize the issue, assign a priority, and determine the customer's sentiment (e.g., "Angry," "Neutral"). Proactive Escalation: The workflow uses an If node to check for "Critical" priority or "Angry" sentiment. If these conditions are met, it takes a separate path to notify a manager immediately. Ticket Creation: Regardless of urgency, a Trello card is created for the ticket, including all the AI's analysis and the original email content. Automated Response: For low-priority tickets, a second If node and a Gmail node can send an automated, AI-generated response, completely freeing up your team. Performance Reporting: All ticket data, including the AI's analysis, is logged to a Google Sheets dashboard for real-time analytics and to track support trends. How to Set Up 🛠️ Import the Workflow: Copy the provided workflow JSON and import it into your n8n instance. Configure Credentials: Gmail: Add your OAuth2 credential for your support inbox. OpenAI: Add your API Key. Trello: Add your API Key and token. Slack: Add your Bot Token credential. Google Sheets: Add your OAuth2 credential. Customize Workflow Nodes: Node 1 (Gmail Trigger): Ensure this is connected to your official support email address. Node 2 (OpenAI): The prompt is pre-configured but can be customized to better fit your specific categories or tone. Node 4 (Trello): Replace [YOUR TRELLO BOARD LIST ID] with the list ID for new tickets on your board. Node 5 (Slack): Replace [MANAGER'S SLACK USER ID] and [YOUR SUPPORT TEAM SLACK CHANNEL ID] with the correct IDs. Node 9 (Google Sheets): Replace [YOUR SUPPORT DASHBOARD SPREADSHEET ID] with your spreadsheet ID and ensure your sheet columns match the workflow's data. Save & Activate: Once all settings and credentials are configured, save the workflow and click the "Inactive" toggle in the top-right corner to make it live. An n8n automation workflow template by Marth - Business Automation.

By inderjeet Bhambra

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. How it works? The Content Strategy AI Pipeline is an intelligent, multi-stage content creation system that transforms simple user prompts into polished, ready-to-publish content. The system intelligently extracts platform requirements, audience insights, and brand tone from user requests, then develops strategic reasoning and emotional connection strategies before crafting compelling content outlines and final publication-ready posts or articles. Supporting both social media platforms (Instagram, LinkedIn, X, Facebook, TikTok) and blog content. Key Differentiators: Strategic thinking approach, emotional intelligence integration, platform-native optimization, zero-editing-required output, and professional content strategist-level quality through multi-model AI orchestration. Technical Points Multi-model AI orchestration for specialized tasks Emotional psychology integration for audience connection Platform algorithm optimization built-in Industry-standard content strategy methodology automated Enterprise-grade reliability with session management and memory API-ready architecture for integration into existing workflows Test Inputs Sample Request: "Create an Instagram post for a fitness coach targeting busy moms, tone should be motivational and relatable" Expected Flow: Platform: Instagram → Niche: Fitness → Audience: Busy Moms → Tone: Motivational → Output: 125-150 word post with hashtags `. An n8n automation workflow template by inderjeet Bhambra.

By Adnan Tariq

Description: Automatically send structured benign payloads (PDF/HTML/JS markers) to test email gateways and sandbox response. AI-generated phishing-style content helps simulate real-world threats without malicious intent. Results logged in Google Sheets. Who’s It For: Security teams validating email filters and sandboxes Red Teams doing payload simulation GRC/compliance teams testing Secure Email Gateway (SEG) controls How It Works: Loads target list from Google Sheets Crafts payload using OpenAI prompt logic Sends emails with embedded controlled markers Logs responses back to the same sheet Requirements: Google Sheet Requirements Sheet Name: Payload_Validation_Log Required Columns: payload status response timestamp Gmail/SMTP or email-sending node Google Sheets credential OpenAI API Key File Templates: RedOps_PayloadValidator_Log_Template.xlsx – track targets, payload, status How to Customize: Modify the OpenAI prompt for alternate payload types Adjust fields or webhook triggers Add logging to SIEM or ticketing platforms This module is part of the CYBERPULSE AI RedOps Suite 🌐 https://cyberpulsesolutions.com Detailed README: Purpose Simulate benign payloads (e.g., links, encoded HTML) to test how your email security gateway and sandbox environment responds. How It Works Trigger Test Batch Starts manually or on schedule. Get Targets Loads email recipients from Google Sheets. Generate Payload Prepares static payload like a fake link. OpenAI Node Generates a realistic simulation email using the payload. Merge + Format Combines recipient info with OpenAI output, formats the message, and tags it as simulated. Validated Node Appends results to Google Sheets with fields like: email, payload, response, status, module, time Google Sheets Requirements Sheet Name: RedOps_Targets Columns: email, name, team, payload, status, response, module, time Security Note This workflow uses simulated payloads and never sends real malicious content. No real user data is stored or transmitted. Meant for internal Red Team and security validation use only. An n8n automation workflow template by Adnan Tariq.

By Adnan Tariq

Description: Simulate cloaked phishing links that redirect through a controlled proxy. This module tracks if secure email gateways (SEGs) or sandboxes trigger the redirect before users do. Logs access, response, and timestamps in Google Sheets. Who’s It For: Red Teams simulating real-world phishing redirects Security teams testing gateway/sandbox behavior Awareness teams tracking click-throughs How It Works: Loads target list from Google Sheets Generates dynamic redirect links per target Emails the links using Gmail or SMTP Simulates access via webhook or internal call Logs metadata and redirect access to Sheets Requirements: Google Sheet Requirements Sheet Name: Redirect_Logs Required Columns: name, team, email, module, status, payload, response, timestamp Google Sheets credentials Email service (Gmail, SMTP, or custom node) Optional: Real endpoint for link redirection (e.g., Vercel Function, Cloudflare Worker) Setup Instructions Clone or copy the provided Google Sheet template (linked below). Set up the webhook trigger in the Redirect Proxy node. Use URL shortener node (optional) to obfuscate redirect links. Connect Google Sheets node and map fields: timestamp, IP, user-agent, original URL. Configure redirection logic using IF and Set nodes. Run a test redirect to validate Google Sheet logging. File Templates: RedOps_RedirectCloak_Log_Template.xlsx email name team payload response status module timestamp test@org.com John Doe IT redirect.link/... Redirect triggered Simulated RedirectCloak 2025-07-27T12:00:00Z Customization Redirect Logic**: Modify the HTTP Response or Set node to redirect to real servers or simulation targets. Tracking Format**: Adjust the structure of the logged data — include fields like user-agent, referrer, campaign ID, etc. Redirection Endpoint**: Host the redirection logic on a public API gateway (e.g., AWS API Gateway, Vercel Edge Function) if deploying outside of n8n. Obfuscation**: Integrate a URL shortener (like Bitly) or a custom domain to hide the true destination during simulations. Ethics Note: This module is intended for internal simulations only and does not contain malicious payloads. Always use with authorization and red team awareness protocols. 🔗 Part of the CYBERPULSE AI RedOps Suite 🌐 https://cyberpulsesolutions.com 📧 info@cyberpulsesolutions.com. An n8n automation workflow template by Adnan Tariq.

By Adnan Tariq

Description Automatically compiles a daily HTML report of all RedOps simulations (Modules 1–5), summarizing offensive activity, response logs, and module effectiveness. Designed for GRC teams, Red/Purple teams, and internal auditors — no manual formatting required. Who’s It For: Red Teams running daily simulations Purple Teams reviewing impact and response CISOs, SOCs, or compliance teams requiring summaries How It Works: Trigger manually or on schedule (e.g., daily cron) Reads simulation logs from a shared Google Sheet Filters data by time or module Formats data into an HTML summary table Sends email with report or uploads to Drive/S3 Requirements: Gmail or SMTP node for email Google Sheets connected (OAuth) Google Sheet Requirements: Columns: Date, Module, Action, Result, Status One row per offensive simulation log Make sure headers are in the first row Unified log format for RedOps Modules 1–5 File Templates: RedOps_AutoReport_Log_Template.xlsx email module payload status response timestamp Customization Tips: Set filtering timeframe (24h, 7d) in JavaScript node Modify the table style in the HTML generator Connect to PDF node or S3 for exporting to other tools Ethics & Compliance: This workflow is designed for internal reporting only. It does not simulate attacks or initiate actions. Use for audit logs, red team reviews, and awareness tracking only. Setup Instructions Copy the provided Google Sheet template (linked in File Templates). Fill in your RedOps logs (columns: date, module, action, result, status). Connect Google Sheets node using OAuth credentials. In the Gmail node: Set recipient email (use your_email@example.com as a placeholder). Choose HTML output from the summary table. Trigger via Cron node (daily) or manually. Optional: Connect Drive or S3 node to store a backup. Supports: NIST 800-53 AU-6, AU-12 ISO 27001 A.16.1.6 ACSC Essential Eight reporting practices 🔗 Part of the CYBERPULSE RedOps Suite 🌐 https://cyberpulsesolutions.com 📧 info@cyberpulsesolutions.com. An n8n automation workflow template by Adnan Tariq.

By David Olusola

🏥 PATIENT APPOINTMENT REMINDER SYSTEM MULTI-DATABASE SUPPORT PURPOSE: Automatically send professional appointment reminders via email and SMS to reduce no-shows and improve patient experience. FEATURES: ✅ Dual reminders (3-day + 1-day before) ✅ Email + SMS notifications ✅ Phone number auto-formatting ✅ Timezone handling ✅ Professional HTML email templates ✅ Multi-database support: • PostgreSQL (Enterprise) • Google Sheets (Easy) • Airtable (Recommended) ✅ Flexible webhook support BUSINESS IMPACT: 📈 Reduce no-shows by 30-50% 💰 Increase revenue from better attendance ⏰ Save staff time on manual reminders 📱 Professional patient communication SETUP: Activate ONLY the database nodes your client needs!. An n8n automation workflow template by David Olusola.

By Khairul Muhtadin

One blog post becomes content everywhere. Ultimate BlogBlitz automates SEO-optimized tech articles with AI (OpenAI, Google Gemini), publishes to WordPress, then spins platform-tailored social posts for X, LinkedIn, Discord, Threads, and Bluesky. Hours of work, zero writer's block. Last updated: September 2026. Why Use Ultimate BlogBlitz? Time saver:** Blog production, images, and publishing automated end to end. Stress relief:** No writer's block, no platform juggling. Your n8n instance is your tireless content assistant. Boost engagement:** Social posts tailored per platform for X, LinkedIn, Discord, Threads, and Bluesky. Competitive edge:** Multi-AI tech plus multi-platform publishing keeps your blog ahead. No 3rd Party Cost:** Uses official APIs at no cost. Perfect For Content creators:** Bloggers on technology and AI topics who want stress-free publishing. Small businesses:** Teams needing consistent SEO content and social presence without extra hires. Marketing pros:** Workflows connecting WordPress blogging and social channels seamlessly. How It Works Trigger:** Automatically runs every 3 hours or manually via Telegram command "generate". Process:** AI picks a blog category and crafts a unique, SEO-friendly title plus metadata, then writes a 1,500–2,500 word article. Smart Logic:** Generates a lifelike featured image with OpenAI, uploads post and media to WordPress, and uses OpenRouter AI to create viral social media posts tailored by platform. Output:** Blog posts go live while viral-ready content posts simultaneously to X, LinkedIn, Discord, Threads, and Bluesky. Quick Setup Import JSON file to your n8n instances Add credentials: WordPress API, OpenAI, Google Gemini, Twitter/X OAuth2, LinkedIn OAuth2, Discord Webhook, Threads API, Bluesky API, OpenRouter API (docs), Telegram Bot Customize: Input your WordPress site URL, category mappings, social account IDs, and access tokens Update: Replace placeholder URLs/endpoints with your live WordPress and API URLs Test: Trigger manually via Telegram or run scheduled trigger and verify content creation and social posts You'll Need Active n8n instances WordPress site with REST API enabled and credentials API keys/accounts: OpenAI, Google Gemini, Twitter/X, LinkedIn, Discord Webhook, Threads, Bluesky, OpenRouter Telegram Bot for manual triggering (optional but recommended) Level Up Ideas Integrate newsletter automation for blog post digests Customize social post templates to include trending hashtags or emojis automatically Quick Answers How often does it publish? Every 3 hours automatically, or manually with "generate" on Telegram. Where does content go? WordPress for articles, plus X, LinkedIn, Discord, Threads, and Bluesky for social posts. How long are the articles? 1,500–2,500 words with SEO-friendly titles and metadata. Made by: khmuhtadin Tags: automation, blogging, social media, AI, WordPress, SEO Category: Content Creation & Social Sharing Need custom work? Contact me Additional info Built with n8n. Need an assessment on your business? Feel free to reach out at https://khmuhtadin.com/consultation/. An n8n automation workflow template by Khairul Muhtadin.

By Rosh Ragel

📌 What It Does This workflow connects a Telegram bot with your ClickUp workspace, allowing you to create, read, update, and delete tasks just by sending a message. The AI agent interprets natural language commands and takes the appropriate action — all without needing to open ClickUp. It’s like having a personal assistant inside Telegram that manages your task list for you. ✅ Prerequisites To use this workflow, you'll need the following credentials set up in n8n: Telegram Bot API Credential** (used in all Telegram nodes) ClickUp OAuth2 Credential** (for task operations) OpenAI Credential** (to power the AI agent that parses your commands) ⚠️ Before First Use Make sure to add your bot's user ID to the Ignore Bot Messages node. This prevents infinite loops caused by the bot responding to its own messages. If you're unsure of your bot's ID: Temporarily disable the two Telegram tool nodes connected to the AI Agent. Send a test message from the bot and capture its ID. Add that ID to the ignore filter, then re-enable the nodes. ⚙️ How It Works Trigger: The workflow starts when your Telegram bot receives a message. Ignore Self: If the message was sent by the bot itself, the workflow stops. AI Analysis: The message is passed to an AI agent (OpenAI) that determines what action to take. Decision Tree: 📌 Create a new task in ClickUp ✏️ Update an existing task 🔍 Find a task and return its details 🗑️ Delete a task ❓ Ask for more details if input is unclear ✅ Send confirmation or feedback to the user 💡 Example Use Cases “Add a task called ‘Follow up with supplier’ for tomorrow.” “What tasks are due this week?” “Update the task ‘Website Launch’ to ‘in progress’.” “Delete the task ‘Old client notes’.” This workflow is ideal for solo operators, remote teams, or anyone who wants to manage ClickUp while on the go — without switching apps. 🛠️ Setup Instructions Telegram Bot: Create a Telegram bot using BotFather Add your Telegram credential to all Telegram nodes in this workflow Bot ID Filter: Add your bot’s Telegram user ID to the Ignore Bot Messages node OpenAI Setup: Add your OpenAI credential to the AI Agent node ClickUp Integration: Connect your ClickUp credential Set your workspace, list, and folder IDs in the task creation and search nodes 🚀 How to Use Save the Telegram bot to your contacts Open the Telegram chat with your bot and send a message like: "Add a task to follow up with invoices every Friday" The bot will reply with confirmation or ask for clarification The task will appear in your ClickUp workspace within seconds 🔧 Customization Options Add new intents to the AI agent to support more actions (e.g., time tracking or comments) Customize the bot’s responses for branding or tone Add notifications or reminders using additional Telegram nodes ✨ Why It's Useful This workflow eliminates the friction of switching between Telegram and your task manager. It reduces manual data entry, saves time, and gives you a simple way to manage your to-do list using natural language — even on mobile. Perfect for freelancers, managers, or team leads who want a faster, more intuitive way to stay organized. An n8n automation workflow template by Rosh Ragel.

By Kirill Khatkevich

This workflow transforms raw Meta Ads data into actionable, expert-level insights. It acts as a virtual performance marketer, analyzing each creative's performance, comparing it against your historical benchmarks, and delivering clear recommendations on whether to scale, optimize, or stop the ad. By running parallel analyses with both OpenAI and Gemini, it provides a unique, dual-perspective evaluation. This template is the perfect sequel to our "Automation of Creative Testing" workflow but also works powerfully on its own. Use Case Manually sifting through ads manager reports is tedious, and identifying true winners from early data is challenging. This workflow solves these problems by automating the entire analysis pipeline. It's designed for performance marketing teams who need to: Make faster, data-driven decisions on which creatives to scale. Get objective, AI-powered second opinions on ad performance. Systematically evaluate creatives against consistent, pre-defined benchmarks. Maintain a central log in Google Sheets with both raw metrics and qualitative AI analysis. Save hours spent on manual data crunching and report generation. How it Works The workflow is structured into three logical stages: Configuration & Data Ingestion: A central ⚙️ Set parameters node holds all key variables: the data source (Meta or Sheets), campaign_id, and, most importantly, your historical performance benchmarks as a simple text block. An IF node directs the workflow to fetch data either directly from a Meta Ads campaign or from a specified Google Sheet (ideal for analyzing a curated list of ads). Data Processing & AI Analysis (Parallel Execution): After fetching raw performance data (spend, impressions, clicks, actions), the workflow splits into three parallel branches for maximum resilience: Branch 1 (Data Logging): Immediately writes or updates a row in Google Sheets with the raw metrics for the creative. This ensures no data is lost, even if the AI analysis fails. Branch 2 (OpenAI Analysis): Prepares a CSV string of the creative's data, sends it along with the benchmarks to an OpenAI model (e.g., GPT-4), and instructs it to return a structured JSON analysis. Branch 3 (Gemini Analysis): Performs the exact same process but using Google's Gemini model via a LangChain agent, providing a second, independent evaluation. Results Aggregation: The results from both AI models are received as structured JSON. Two final Google Sheets nodes take these results and update the original row (matching by AdID), adding the evaluation, significance, summary, and recommendation into separate columns. The final sheet contains a complete picture: raw data side-by-side with analyses from two different AIs. Setup Instructions Credentials: 1.1 Connect your Meta Ads account. 1.2 Connect your Google account (for Sheets). 1.3 Connect your OpenAI account. 1.4 Connect your Google Gemini (Palm) account. The ⚙️ Set parameters Node: This is the central control panel. Open this first Set node and customize it: source: Set to "Meta" to pull from a campaign or "sheets" to read from a Google Sheet. campaign_id: If source is "Meta", enter your Meta Campaign ID here. benchmarks_data: This is critical. Paste your own historical performance data here as a CSV-formatted text block. The template includes an example. For best results, use an export from Ads Manager of your top-performing creatives, including key metrics. Google Sheets Nodes: There are three Google Sheets nodes that write data. You need to configure all of them to point to the same spreadsheet and sheet. Ad metrics (for raw metrics): Select your spreadsheet and sheet. Ensure "Operation" is set to Append or Update. Ad data from OpenAI (for OpenAI results): Select the same spreadsheet/sheet. Set "Operation" to Update. Ad data from Gemini (for Gemini results): Select the same spreadsheet/sheet. Set "Operation" to Update. Make sure your sheet has columns for all the data fields, e.g., AdID, FileName, spend, impressions, evaluation, summary, recommendation, evaluation G, summary G, etc. Activate the Workflow: Set your desired frequency in the Schedule Trigger node. Save and activate the workflow. Further Ideas & Customization This powerful analysis engine can be extended even further: Add a "Decision" Node: After the AI analyses are logged, add a final step that compares their recommendations. If both AIs say "scale", automatically increase the ad's budget via the Meta Ads API. Create Summary Reports: Add a branch that, after all ads are processed, calculates an overall summary (e.g., "3 creatives recommended for scaling, 5 for stopping") and sends it to a Slack channel. Dynamic Benchmarks: Instead of pasting benchmarks into the Set node, create a step that reads them from a dedicated "Benchmarks" tab in your Google Sheet, making them even easier to update. Experiment with Prompts and Benchmarks: The quality of the AI analysis is highly dependent on the quality of your input. Don't be afraid to: -- Refine the prompts in the AI Agent and Message a model nodes to better match your specific business context and KPIs. -- Curate your benchmarks_data. Test different sets of benchmark data (e.g., "last 30 days top performers" vs. "all-time best") to see how it influences the AI's recommendations. Finding the right combination of prompt and data is key to unlocking the most effective insights. An n8n automation workflow template by Kirill Khatkevich.

By Paul

Danelfin MCP Server About Danelfin Danelfin is an AI-powered stock analytics platform that helps investors find the best stocks and optimize their portfolios with explainable AI insights to make smarter, data-driven investment decisions. The platform uses AI-driven stock analytics to optimize investment strategies. Danelfin uses Explainable Artificial Intelligence to help everyone make smart and data-driven investment decisions. The platform provides API solutions for developers, analysts, and fintech firms wanting to integrate predictive stock data into their own applications. Key Features AI Stock Picker**: Advanced algorithms to identify high-potential stocks Portfolio Optimization**: Data-driven portfolio management and optimization tools Explainable AI**: Transparent AI insights that show reasoning behind recommendations Predictive Analytics**: AI Scores and forecasting capabilities Multi-Asset Coverage**: Analysis of stocks and ETFs across various markets MCP Server Endpoints This Danelfin MCP (Model Context Protocol) server exposes three main endpoints that provide comprehensive market analysis capabilities: 🏆 /ranking Endpoint GET: https://apirest.dan... The ranking endpoint provides AI-powered stock rankings and ratings. This tool allows users to: Access ranked lists of stocks based on AI-generated scores Retrieve performance rankings across different timeframes Get comparative analysis of stock performance Access predictive AI scores for investment decision-making 🏭 /sectors Endpoint GET: https://apirest.dan... The sectors endpoint provides analysis for US market stocks including AI ratings, prices, stock charts, technical, fundamental, and sentiment analysis organized by market sectors. Features include: Sector-wise market analysis and performance metrics AI ratings and price data for sector classifications Technical and fundamental analysis by sector Sentiment analysis across different market sectors Comparative sector performance insights 🏢 /industries Endpoint GET: https://apirest.dan... The industries endpoint offers granular industry-level analysis within market sectors: Industry-specific stock analysis and ratings Performance metrics at the industry classification level AI-powered insights for specific industry verticals Comparative industry analysis within sectors Industry trend analysis and forecasting Integration Benefits This MCP server enables seamless integration of Danelfin's AI-powered stock analysis capabilities into applications and workflows. Users can: Access Real-time Data**: Get up-to-date stock rankings, sector performance, and industry analysis Leverage AI Insights**: Utilize explainable AI recommendations for investment decisions Streamline Research**: Automate stock research workflows with comprehensive market data Enhance Decision-Making**: Make data-driven investment choices with predictive analytics Scale Analysis**: Process large-scale market analysis across multiple dimensions Use Cases Investment Research**: Comprehensive stock analysis and ranking for portfolio managers Algorithmic Trading**: Integration of AI scores into trading algorithms and strategies Financial Advisory**: Enhanced client advisory services with AI-powered insights Risk Management**: Sector and industry analysis for portfolio risk assessment Market Analysis**: Real-time market intelligence for institutional investors The Danelfin MCP server bridges the gap between advanced AI stock analytics and practical investment applications, providing developers and financial professionals with powerful tools for data-driven market analysis. An n8n automation workflow template by Paul.

By Fahmi Fahreza

Quick overview This template uses a community node (@apify/n8n-nodes-apify). It will not work without the required node installed. How it works A monthly schedule trigger runs the workflow automatically without any manual intervention required. An Apify Actor scrapes TikTok's top 100 trending hashtags for a specified country, defaulting to the United States. Once scraping completes, the workflow fetches the full dataset containing hashtag metrics from Apify's result storage. The dataset is split into individual items, and each hashtag is saved as a new record in Airtable with all relevant details. Setup Go to Settings → Community Nodes on your n8n instance and install the @apify/n8n-nodes-apify community node before proceeding. Create an Airtable base with a table named Trending Hashtags containing these columns: ID, Name, Country, Industry, Date Added, Publish Count, Video Views, Rank, and Status. Add your Apify and Airtable credentials in the n8n Credential Manager before configuring any nodes. Open the Run TikTok Hashtag Scraper node and optionally adjust country_code (e.g., "US" to "GB") and top100_period (e.g., "30" to "7") in the Custom Body to match your target market and timeframe. Open the Save Hashtag to Airtable node, select your correct Airtable base, and confirm the Trending Hashtags table is selected as the target. Save and activate the workflow — it will now run automatically every month and sync the latest trending hashtag data to Airtable. Requirements Installed community node: @apify/n8n-nodes-apify Apify account Airtable account with a structured base Customization Change Schedule : Modify the Start: Monthly Schedule node to run weekly or on another interval. Add Notifications : Attach a Slack or Discord node after the 4. Save Hashtag to Airtable node to alert your team when new data is added. Filter Hashtags : Use a Filter node after 3. Split Hashtags into Items to only save hashtags that meet specific conditions (e.g., over 1M video views). Additional info Published by Fahmi Fahreza, Indonesia’s first official n8n Brand Ambassador and founder of WithMi Automation, built from real client implementations, not tutorials. → Let us build it for you: withmiautomation.com → Learn to build it yourself: academy.withmiautomation.com → Bring Fahmi to your team (training, workshop, talkshow): fahmiiireza.com. An n8n automation workflow template by Fahmi Fahreza.

By Abdullah Alshiekh

🧩 What Problem Does It Solve? Meta’s ad forms often generate unqualified leads from casual scrollers. This workflow uses WhatsApp and AI to automatically verify, qualify, and prioritize real leads — saving time and boosting sales efficiency. 📝 Description This workflow automates lead qualification for businesses using Meta Ads (Facebook/Instagram Lead Ads) to filter out irrelevant leads. It ensures only confirmed prospects enter your CRM by: Collecting new Facebook leads Verifying via WhatsApp confirmation Classifying responses with AI Updating CRM status based on intent When a new Facebook lead arrives: Lead details are extracted (name/phone/email) Zoho CRM is checked for existing contacts WhatsApp confirmation request is sent AI classifies the response (confirmed/declined/human/invalid) CRM status is updated automatically Sales team receives only verified leads 🎯 Key Advantages for Meta Ads ✅ Blocks 60%+ irrelevant leads based on WhatsApp non-response ✅ Reduces fake submissions by requiring active confirmation ✅ Prevents CRM bloat through duplicate checking ✅ Identifies hot leads via instant "human_requested" escalation ✅ Saves sales team hours by auto-declining "no" responses 🛠️ Features Facebook Lead Ads integration via Graph API WhatsApp messaging via Twilio AI response classification (Gemini) Zoho CRM synchronization Duplicate lead prevention Customizable confirmation flow Error-resistant JSON parsing CRM owner assignment Status-based routing 🔧 Requirements Facebook Access Token with ads_management & leads_retrieval permissions Twilio Account with WhatsApp-enabled number Zoho CRM with custom "Status" field Gemini API Key (or alternative LLM) n8n credentials configured for: Twilio (API SID/token) Zoho CRM (OAuth2) Google Gemini (or alternative LLM) ⚙️ Customization Tips 1-Adjust Classification Criteria Modify the AI prompt in Classify Response (AI) node 2-Customize CRM Status Values Update field IDs in Zoho nodes 3-Modify Messaging Edit WhatsApp templates in Send WhatsApp Confirmation 4-Set Owner Assignment Replace owner ID in Prepare Owner ID node 🧠 Use Case Examples Real Estate Agencies: Filter speculative inquiries from serious buyers Medical Clinics: Verify appointment requests before scheduling SAAS Companies: Qualify free trial sign-ups Education Providers: Confirm course interest before counselor assignment Auto Dealerships: Screen test drive requests from tire-kickers If you need help get in touch on Linkedin. An n8n automation workflow template by Abdullah Alshiekh.

By Jamot

This n8n template automatically summarizes your WhatsApp group activity from the past week and generates a team report. Why use this? Remote teams rely on chat for communication, but important discussions, decisions, and ideas get buried in message threads and forgotten by Monday. This workflow ensures nothing falls through the cracks. How it works Runs every Monday at 6am to collect the previous week's group messages Groups conversations by participant and analyzes message threads AI summarizes individual member activity into personal reports Combines all individual reports into one comprehensive team overview Posts the final report back to your WhatsApp group to kick off the new week Setup requirements WhatsApp (whapAround.pro) no need Meta API Gemini AI (or alternative LLM of choice) Best practices Use one workflow per WhatsApp group for focused results Filter for specific team members if needed Customize the report tone to match your team culture Adjust the schedule if weekly reports don't suit your team's pace Customization ideas Send reports via email instead of posting to busy groups Include project metrics alongside message summaries Connect to knowledge bases or ticket systems for additional context Perfect for project managers who want to keep distributed teams aligned and ensure important conversations don't get lost in the chat noise. An n8n automation workflow template by Jamot.

By Julian Kaiser

Scan Any Workout Plan into the Hevy App with AI This workflow automates the creation of workout routines in the Hevy app by extracting exercise information from an uploaded PDF or Image using AI. What problem does this solve? Tired of manually typing workout plans into the Hevy app? Whether your coach sends them as Google Docs, PDFs, or you have a screenshot of a routine, entering every single exercise, set, and rep is a tedious chore. This workflow ends the madness. It uses AI to instantly scan your workout plan from any file, intelligently extract the exercises, and automatically create the routine in your Hevy account. What used to take 15 minutes of mind-numbing typing now happens in seconds. How it works Trigger: The workflow starts when a PDF file is submitted through an n8n form. Data Extraction: The PDF is converted to a Base64 string and sent to an AI model to extract the raw text of the workout plan. Context Gathering: The workflow fetches a complete list of available exercises directly from the Hevy API. This list is then consolidated. AI Processing: A Google Gemini model analyzes the extracted text, compares it against the official Hevy exercise list, and transforms the raw text into a structured JSON format that matches the Hevy API requirements. Routine Creation: The final structured data is sent to the Hevy API to create the new workout routine in your account. Set up steps Estimated set up time:** 15 minutes. Configure the On form submission trigger or replace it with your preferred trigger (e.g., Webhook). Ensure it's set up to receive a file upload. Add your API credentials for the AI service (in this case, OpenRouter.ai) and the Hevy app. You will need to create 'Hevy API' and OpenRouter API credentials in your n8n instance. In the Structured Data Extraction node, review the prompt and the json schema in the Structured Output Parser. You may need to adjust the prompt to better suit the types of files you are uploading. Activate the workflow. Test it by uploading a sample workout plan document. An n8n automation workflow template by Julian Kaiser.

By Sk developer

📊 n8n Workflow: Email Validation & Google Sheets Update This workflow automates the process of validating email addresses stored in a Google Sheet. It reads each email, checks if it's disposable or fake using Email Validator AI via RapidAPI, and updates the same row with the result. All interactions with Google Sheets are done securely using a Google Service Account. ✅ Node-wise Overview 🔘 Manual Trigger Starts the workflow manually from the n8n editor. 📄 Google Sheets (Read) Reads all rows (including emails) from a specified Google Sheet. 🔁 Split In Batches Processes each row (email) one at a time. 🌐 HTTP Request (RapidAPI) Sends the email to Email Validator AI for validation. 🟩 Google Sheets (Update Row) Updates the corresponding row in the sheet with the validation result. 📋 Google Sheet Columns Required Make sure your Google Sheet contains the following columns: | Column Name | Purpose | |------------------|----------------------------------------------| | email | Email address to validate | | is_disposable | Flags if the email is a disposable address | > 📝 You can rename columns, but ensure the node mappings in n8n match accordingly. 💡 Use Cases 📧 Email List Cleanup Keep your lead or contact lists free of fake, temporary, or disposable emails. 🧼 Data Quality Enhancement Ensure your Google Sheets contain only validated, high-quality email addresses. 🔁 Automated Data Enrichment Add metadata (like is_disposable) to your contacts without manual review. 📥 Lead Qualification Filtering Automatically flag or remove junk leads before importing into CRMs or email tools. 🚀 Benefits of This Workflow (for You) 🧼 Cleans Your Email Data Automatically Detects fake or throwaway email addresses using Email Validator AI and flags them right in your spreadsheet. ⏳ Saves You Time Fully automates email validation — no more copy-pasting into online tools. 📈 Improves Marketing & Outreach Accuracy Focuses your efforts on real contacts, improving delivery, open, and conversion rates. 💡 Lets You Focus on High-Value Leads Filters out low-quality leads so you can prioritize those with actual potential. 🔄 Works Seamlessly Within Google Sheets No import/export headaches — updates happen directly in your existing sheet. 🔐 Runs Securely Without Manual Intervention Uses a Google Service Account for safe access and can be scheduled to run automatically. 🛠️ Requirements to Use A Google Sheet with the required columns listed above A RapidAPI key for Email Validator AI A Google Service Account with access to the sheet Proper credentials configured in your n8n instance 🧪 Tips for Enhancement Add a status or note column for better tracking Filter only unvalidated rows to improve performance Send a Slack or Email notification when invalid emails are found Schedule this workflow using a Cron Trigger to run daily/weekly. An n8n automation workflow template by Sk developer.