by Miquel Colomer
Do you want to check the SSL certificate expiration dates of your customers or servers? This workflow gets information of an SSL certificate using the uProc Get Certificate by domain tool. You can use this workflow to query SSL certificates in bulk and send alarms when any certificate has expired. You need to add your credentials (Email and API Key - real -) located at Integration section to n8n. You can replace "Create Domain Item" with any integration containing a domain, like Google Sheets, MySQL, or Zabbix server. Every "uProc" node returns the next fields per every analyzed SSL certificate: issuer: Contains the issuer. provider: Contains the provider. valid_from: Contains the start date. valid_to: Contains the end date. serial_number: Contains the serial number. type: Contains if supports one or multiple domains. protocol: Contains the protocol. valid: Contains its validity. domains: Contains all domains and subdomains supported. An "IF" node detects if the certificate is valid or not. Finally, the workflow sends an alarm to a Telegram channel to know if the certificate has expired.
by Miquel Colomer
🎯 Precision Prospecting: Automate LinkedIn Lead Gen with n8n & Bright Data 📝 Overview This workflow turns n8n into an AI-powered prospector, automatically searching Google for LinkedIn profiles, scraping profile data via Bright Data, and summarizing key details. Ideal for sales and recruitment teams seeking targeted lead lists without manual research. 🎥 Workflow in Action Want to see this workflow in action? You have a chat window output below: 🔑 Key Features AI Chat Trigger**: Start prospecting via conversational prompts. Contextual Memory**: Retains the last 20 messages for coherent dialogue. Automated Google Search**: Generates site-restricted queries and fetches the top result. Bright Data Scraping**: Synchronously scrapes LinkedIn profile details by URL. Intelligent Filtering**: Extracts only valid LinkedIn profile links. Limit Control**: Returns a single, most relevant profile per request. LLM Summary**: Uses GPT-4o-mini to interpret and present scraped data. 🚀 How It Works (Step-by-Step) Prerequisites: n8n ≥ v1.0 with community nodes: install n8n-nodes-brightdata (not verified community node). API credentials: OpenAI, Bright Data (web unlocker zone “web\_unlocker1”). Webhook endpoint for chat trigger. Node Configuration: When chat message received (chatTrigger): Fires on user prompt. Simple Memory1 (memoryBufferWindow): Stores the last 20 chat messages. AI Prospector Agent (agent): Orchestrates search logic. Get 1 Google Result (brightData): Performs a Google search with site:linkedin.com/in. Get Links from Body (html): Extracts all `` hrefs from the search result page. Extract Links (splitOut): Splits out individual link entries. Filter only LinkedIn Profiles (filter): Ensures the URL contains “linkedin.com/” and starts with “https\://”. Limit (limit): Restricts output to the first valid profile URL. Search LinkedIn URI (toolWorkflow): Passes the URL to a secondary workflow to fetch the first link. Get LinkedIn Profile Data (brightDataTool): Scrapes the profile JSON. OpenAI Chat Model (lmChatOpenAi): Summarizes and formats the scraped data. Workflow Logic: User asks for a person by company & name, company & position, or LinkedIn URL. Agent builds a Google query (e.g., site:linkedin.com/in bright data cmo) and calls “Get 1 Google Result.” Extracted links are filtered and limited to the top valid profile. If user provided a direct LinkedIn URL, Agent skips search and scrapes immediately. Scraped profile JSON is passed to GPT-4o-mini to generate a concise summary. Testing & Optimization: Trigger via Execute Workflow for dry runs. Inspect intermediate node outputs in n8n’s Execution panel. Adjust maxIterations or memory window length for performance. Tune Bright Data zone or country settings to optimize scraping speed. Deployment & Monitoring: Activate the workflow and expose its webhook URL. Use n8n’s built-in Alerts or external monitoring (e.g., Slack notifications) on failures. Rotate credentials via n8n’s Credential Vault when needed. Version-control workflow via duplicates or Git-backed n8n instances. ✅ Pre-requisites OpenAI Account**: API key for GPT-4o-mini. Bright Data Account**: Zone “web\_unlocker1” and dataset gd_l1viktl72bvl7bjuj0. n8n Version**: v1.0+ with community nodes installed. Permissions**: Webhook access, Credential Vault read/write. 👤 Who Is This For? Sales teams automating outbound LinkedIn prospecting. Recruiters sourcing candidates without manual scraping. Marketing ops looking to enrich CRM with accurate profile data. 📈 Benefits & Use Cases Efficiency**: Reduces hours of manual search and data entry to seconds. Accuracy**: Filters out non-LinkedIn links and ensures high-quality results. Scalability**: Handle multiple prospect requests concurrently via chat or API. Integration**: Easily hook into CRMs or email sequencers downstream. Workflow created and verified by Miquel Colomer https://www.linkedin.com/in/miquelcolomersalas/ and N8nHackers https://n8nhackers.com
by WeblineIndia
This workflow is created by AI developers at WeblineIndia. It streamlines the process of managing content by automatically identifying and fetching the most recently added Google Doc file from your Google Drive. It extracts the content of the document for processing and leverages an AI model to generate a concise and meaningful summary of the extracted text. The summarized content is then stored in a designated Google Sheet, alongside relevant details like the document name and the date it was added, providing an organized and easily accessible reference for future use. This automation simplifies document handling, enhances productivity, and ensures seamless data management. Steps : Fetch the Most Recent Document from Google Drive Action:** Use the Google Drive Node. Details:** List files, filter by date to fetch the most recently added .doc file, and retrieve its file ID and metadata. Extract Content from the Document Action:** Use the Google Docs Node. Details:** Set the operation to "Get Content," pass the file ID, and extract the document's text content. Summarize the Document Using an AI Model Action:** Use an AI Model Node (e.g., OpenAI, ChatGPT). Details:** Provide the extracted text to the AI model, use a prompt to generate a summary, and capture the result. Store the Summarized Content in Google Sheets Action:** Use the Google Sheets Node. Details:** Append a new row to the target sheet with details such as the original document name, summary, and date added. About WeblineIndia WeblineIndia specializes in delivering innovative and custom AI solutions to simplify and automate business processes. If you need any help, please reach out to us.
by Miquel Colomer
📝 Overview This workflow transforms n8n into a smart real-estate concierge by combining an AI chat interface with Bright Data’s marketplace datasets. Users interact via chat to specify city, price, bedrooms, and bathrooms—and receive a curated list of three homes for sale, complete with images and briefings. 🎥 Workflow in Action Want to see this workflow in action? Play the video 🔑 Key Features AI-Powered Chat Trigger:** Instantly start conversations using LangChain’s Chat Trigger node. Contextual Memory:** Retain up to 30 recent messages for coherent back-and-forth. Bright Data Integration:** Dynamically filter “FOR\_SALE” properties by city, price, bedrooms, and bathrooms (limit = 3). Automated Snapshot Retrieval:** Poll for dataset readiness and fetch full snapshot content. HTML-Formatted Output:** Present results as a ` of ` items, embedding property images. 🚀 How It Works (Step-by-Step) Prerequisites: n8n ≥ v1.0 Community nodes: install n8n-nodes-brightdata (the unverified community node) API credentials: OpenAI, Bright Data Webhook endpoint to receive chat messages Node Configuration: Chat Trigger: Listens for incoming chat messages; shows a welcome screen. Memory Buffer: Stores the last 30 messages for context. OpenAI Chat Model: Uses GPT-4o-mini to interpret user intent. Real Estate AI Agent: Orchestrates filtering logic, calls tools, and formats responses. Bright Data “Filter Dataset” Tool: Applies user-defined filters plus homeStatus = FOR_SALE. Wait & Recover Snapshot: Polls until snapshot is ready, then fetches content. Get Snapshot Content: Converts raw JSON into a structured list. Workflow Logic: User sends search criteria → Agent validates inputs. Agent invokes “Filter Dataset” once all filters are present. Upon dataset readiness, the snapshot is retrieved and parsed. Final output rendered as a bullet list with property images. Testing & Optimization: Use the built-in Execute Workflow trigger for rapid dry runs. Inspect node outputs in n8n’s UI; adjust filter defaults or snapshot limits. Tune OpenAI model parameters (e.g., maxIterations) for faster responses. Deployment & Monitoring: Activate the main workflow and expose its webhook URL. Monitor executions in the “Executions” panel; set up alerts for errors. Archive or duplicate workflows as needed; update credentials via credential manager. ✅ Pre-requisites Bright Data Account:** API key for marketplaceDataset. OpenAI Account:** Access to GPT-4o-mini model. n8n Version:** v1.0 or later with community node support. Permissions:** Webhook access, credential vault read/write. 👤 Who Is This For? Real-estate agencies and brokers seeking to automate client queries. PropTech startups building conversational search tools. Data analysts who want on-demand property snapshots without manual scraping. 📈 Benefits & Use Cases Time Savings:** Replace manual MLS searches with an AI-driven chat. Scalability:** Serve multiple clients simultaneously via webchat or embedded widget. Consistency:** Always report exactly three properties, ensuring concise results. Engagement:** Visual listings with images boost user satisfaction and conversion. Workflow created and verified by Miquel Colomer https://www.linkedin.com/in/miquelcolomersalas/ and N8nHackers https://n8nhackers.com
by Giovanni Ruggieri
Send Webflow form data to Google Sheets 🚀 How It Works This workflow connects your Webflow form submissions to Google Sheets with style and efficiency. Here's the magic in action: Form Submitted 🎉 – A Webflow form submission triggers the flow. Fields Prepared 🛠️ – Data gets organized, and a submission date is added. Data Logged 📋 – Your data finds a cozy new home in Google Sheets. Set-Up Steps ⏱️ Estimated Time: 5-10 minutes Connect Webflow 🌐 – Hook up your Webflow account and disable legacy APIs (instructions inside the workflow). Set Up Google Sheets 🧾 – Choose your spreadsheet and authenticate. You're Ready! 💫 – Let the workflow take it from here. Why You'll Love It ❤️ No More Manual Copy-Paste:** Save time and keep data clean. Smart Field Mapping:** Automatically creates columns and fits your data. Helpful Notes Along the Way:** Friendly tips guide you through setup like a pro. Enjoy the smooth ride from Webflow to Google Sheets! 🚀
by Matteo
This n8n workflow automates the handling of incoming emails. It detects and filters out spam, searches a knowledge base (FAQ) stored in a Pinecone vector database, and sends a reply using Gmail — all powered by an AI model (GPT-4o mini). How It Works Receiving Emails The Gmail Trigger node checks a Gmail inbox every hour. When a new email arrives, it starts the workflow. Fetching Full Email Content The get_message node retrieves all the details of the message: sender, subject, text, message ID, etc. Spam Filtering The Spam checker node uses GPT-4o mini to classify the email as either "spam" or "no spam". It detects not only classic spam but also automated messages (e.g. from Google or Microsoft). If marked as "spam", the workflow ends and nothing is processed. Conditional Filter The If node checks the spam result. Only "no spam" emails proceed to the AI Agent. AI-Based Reply The AI Agent node generates a response based on: The email content A system prompt defining the assistant’s behavior (polite, professional, under the name “Total AI Solutions”) Information retrieved from the Pinecone Vector Store, which contains FAQs The AI is instructed to always check the vector store before replying. The AI prepares both the subject and the body of the reply. Sending the Reply The Gmail node sends the reply to the original sender. It uses the original email's ID to keep the thread intact. Language Model The OpenAI Chat Model node provides GPT-4o mini as the language engine for generating responses. Memory Support The Simple Memory node maintains short-term context, helpful in multi-turn conversations. Knowledge Base (FAQ) The Pinecone Vector Store node connects to a Pinecone index (faqmattabott) containing vectorized FAQ content. Vectors are created using the Embeddings OpenAI node.
by Jaruphat J.
Who’s it for This template is perfect for content creators, AI enthusiasts, marketers, and developers who want to automate the generation of cinematic videos using Google Vertex AI’s Veo 3 model. It’s also ideal for anyone experimenting with generative AI for video using n8n. What it does This workflow: Accepts a text prompt and a GCP access token via form. Sends the prompt to the Veo 3 (preview model) using Vertex AI’s predictLongRunning endpoint. Waits for the video rendering to complete. Fetches the final result and converts the base64-encoded video to a file. Uploads the resulting .mp4 to your Google Drive. Output How to set up Enable Vertex AI API in your GCP project: https://console.cloud.google.com/marketplace/product/google/aiplatform.googleapis.com Authenticate with GCP using Cloud Shell or local terminal: gcloud auth login gcloud config set project [YOUR_PROJECT_ID] gcloud auth application-default set-quota-project [YOUR_PROJECT_ID] gcloud auth print-access-token Copy the token and use it in the form when running the workflow. ⚠️ This token lasts ~1 hour. Regenerate as needed. Connect your Google Drive OAuth2 credentials to allow file upload. Import this workflow into n8n and execute it via form trigger. Requirements n8n (v1.94.1+)** A Google Cloud project with: Vertex AI API enabled Billing enabled A way to get Access Token A Google Drive OAuth2 credential connected to n8n How to customize the workflow You can modify the in the HTTP node to match your use case. Replace the Google Drive upload node with alternatives like Dropbox, S3, or YouTube upload. Extend the workflow to add subtitles, audio dubbing, or LINE/Slack alerts. Step-by-step for each major node: Prompt Input → Vertex Predict → Wait → Fetch Result → Convert to File → Upload Best Practices Followed No hardcoded API tokens Secure: GCP token is input via form, not stored in workflow All nodes are renamed with clear purpose All editable config grouped in Set node External References GCP Veo API Docs: https://cloud.google.com/vertex-ai/docs/generative-ai/video/overview Disclaimer This workflow uses official Google Cloud APIs and requires a valid GCP project. Access token should be generated securely using gcloud CLI. Do not embed tokens in the workflow itself. Notes on GCP Access Token To use the Vertex AI API in n8n securely: Run the following on your local machine or GCP Cloud Shell: gcloud auth login gcloud config set project your-project-id gcloud auth print-access-token Paste the token in the workflow form field when submitting. Do not hardcode the token into HTTP nodes or Set nodes — input it each time or use a secure credential vault.
by Jacob
Unlock the full potential of your YouTube channel with our powerful integration that connects Google Sheets and DeepSeek AI — designed to skyrocket your video visibility and engagement without manual hassle. What this integration does for you: Automates video data management by pulling your YouTube URLs straight from Google Sheets — no more copy-pasting or manual tracking. Extracts your current titles and descriptions directly from YouTube, giving you a clear starting point. Generates 3 high-impact, SEO-optimized titles plus 1 compelling, conversion-focused description — crafted by DeepSeek’s AI to grab attention and rank higher. Updates your Google Sheet automatically with new optimized titles and descriptions — keeping all your video info in one place, ready to publish. Why it matters: In the crowded world of YouTube, having the right title and description can make all the difference between millions of views or being lost in the noise. This integration takes the guesswork out of optimization, saving you time and boosting your channel’s growth with proven AI-driven content. You need to Sheet with columns: Url Keyword Status Old Title New Title Old Description New Description My contact: jacobmarketingservice@gmail.com
by Gopal Debnath
💡 How It Works: ⏰ Triggers daily at 6:00 AM 📊 Fetches one random question from your Google Sheet 🧠 Formats question, options, correct answer, and explanation 📤 Sends it to: 📧 Email 💬 Telegram (via Bot) 📱 WhatsApp/SMS (via Twilio) 🔧 What You Need to Configure: YOUR_GOOGLE_SHEET_ID → your sheet with columns: question, optionA, optionB, optionC, optionD, correctAnswer, explanation Email credentials (SMTP) Telegram Bot Token & Chat ID Twilio phone numbers and credentials
by Tamer
Vacation Planning Agent - n8n Workflow Overview This n8n workflow creates an intelligent vacation planning chatbot that helps users find and book the perfect hotel accommodations. The agent acts as a professional travel consultant, systematically gathering travel requirements and providing personalized hotel recommendations through an interactive chat interface. Core Functionality The workflow provides a conversational AI agent that: Conducts structured information gathering** through natural conversation Automatically searches for hotels** using real-time data from Google Hotels Provides personalized recommendations** with detailed hotel information Maintains conversation context** throughout the planning process Delivers professional travel consultation** in a friendly, accessible format User Experience Flow Initial Interaction Users are greeted with a warm welcome message in German: "Hallo! Ich helfe dir, deinen perfekten Urlaub zu planen. Bitte beanworte mir die folgenden Fragen :)" Information Collection Process The agent systematically collects essential travel details: Destination - City and country/state Travel Dates - Check-in and check-out dates Guest Count - Number of travelers Room Requirements - Number of rooms needed Budget Preferences - Optional price range Automated Hotel Search Once core information is gathered, the agent automatically searches for available accommodations without requiring user permission. Recommendation Delivery Results are presented in a structured format including: Hotel names and star ratings Pricing information Location details Guest ratings and reviews Key amenities and highlights Direct booking links Required Integrations OpenAI API Purpose**: Powers the conversational AI agent Model**: GPT-4o-mini for cost-effective, intelligent responses Requirement**: Valid OpenAI API credentials SerpAPI (Google Hotels) Purpose**: Real-time hotel search and pricing data Service**: Google Hotels search engine integration Requirement**: Active SerpAPI account and API key Key Features Intelligent Conversation Management Maintains conversation context with 20-message memory buffer Handles edge cases like no available hotels or unclear responses Provides alternative suggestions when initial searches yield limited results Flexible Search Parameters Supports location-based searches worldwide Accommodates date range specifications Handles guest count and room quantity requirements Optional budget filtering (min/max price ranges) Currency customization support Professional Presentation Structured hotel recommendation format Clear pricing and availability information Contextual explanations for recommendations Additional destination insights when relevant Use Cases This workflow is ideal for: Travel websites** seeking to add AI-powered hotel booking assistance Travel agencies** wanting to automate initial consultation processes Hospitality businesses** providing customer service automation Personal travel planning** applications Customer support** for travel-related inquiries User Benefits Time-saving**: Eliminates manual hotel research Personalized results**: Tailored recommendations based on specific needs Real-time data**: Current pricing and availability information Professional guidance**: Expert-level travel consultation Seamless experience**: Natural conversation flow without complex forms Technical Requirements Essential Services n8n workflow automation platform OpenAI API access (GPT-4o-mini model) SerpAPI account with Google Hotels access Configuration Needs API credential setup for both OpenAI and SerpAPI Webhook endpoint configuration for chat trigger Memory buffer configuration for conversation context Optional Enhancements Custom branding for chat interface Additional language support beyond German greeting Integration with booking platforms for direct reservations Analytics tracking for usage insights
by Harshil Agrawal
This workflow allows you to release a new version via a Telegram bot command. This workflow can be used in your Continous Delivery pipeline. Telegram Trigger node: This node will trigger the workflow when a message is sent to the bot. If you want to trigger the workflow via a different messaging platform or a service, replace the Telegram Trigger node with the Trigger node of that service. IF node The IF node checks for the incoming command. If the command is not deploy, the IF node will return false, otherwise true. Set node: This node extracts the value of the version from the Telegram message and sets the value. This value is used later in the workflow. GitHub node: This node creates a new version release. It uses the version from the Set node to create the tag. NoOp node: Adding this node is optional.
by Angel Menendez
Temporary solution using the undocumented REST API for backups using Google drive. Please note that there are issues with this workflow. It does not support versioning, so please know that it will create multiple copies of the workflows so if you run this daily it will make the folder grow quickly. Once I figure out how to version in Gdrive I'll update it here.