by Jimleuk
This n8n template showcases the new HTTP tool released in version 1.47.0. Overall, the tool helps simplify AI Agent workflows where custom sub-workflows were performing the same simple http requests. Comparisons 1. AI agent that can scrape webpages Remake of https://n8n.io/workflows/2006-ai-agent-that-can-scrape-webpages/ Changes: Replaces Execute Workflow Tool and Subworkflow Replaces Response Formatting 2. Allow your AI to call an API to fetch data Remake of https://n8n.io/workflows/2094-allow-your-ai-to-call-an-api-to-fetch-data/ Changes: Replaces Execute Workflow Tool and Subworkflow Replaces Manual Query Params Definitions Replaces Response Formatting
by Don Jayamaha Jr
🧪 Binance SM 1hour Indicators Tool A precision trading signal engine that interprets 1-hour candlestick indicators for Binance Spot Market pairs using a GPT-4.1-mini LLM. Ideal for swing traders seeking directional bias and momentum clarity across medium timeframes. 🎥 Watch Tutorial: 🎯 Purpose This tool provides a structured 1-hour market read using: RSI** (Relative Strength Index) MACD** (Moving Average Convergence Divergence) BBANDS** (Bollinger Bands) SMA & EMA** (Simple and Exponential Moving Averages) ADX** (Average Directional Index) It’s invoked as a sub-agent in broader AI workflows, such as the Binance Financial Analyst Tool and the Spot Market Quant AI Agent. ⚙️ Key Features | Feature | Description | | ---------------------- | ------------------------------------------------------------- | | 🔄 Subworkflow Trigger | Runs only when called by parent agent (not standalone) | | 🧠 GPT-4.1-mini LLM | Translates numeric indicators into natural-language summaries | | 📊 Real-time Data | Pulls latest 40×1h candles via internal webhook from Binance | | 📥 Input Format | { "message": "ETHUSDT", "sessionId": "telegram_chat_id" } | | 📤 Output Format | JSON summary + Telegram-friendly HTML overview | 💡 Example Output 📊 1h Technical Overview – ETHUSDT • RSI: 59 (Neutral) • MACD: Bullish Crossover • BBANDS: Price at Upper Band • EMA > SMA → Positive Slope • ADX: 28 → Moderate Trend Strength 🧩 Use Cases | Scenario | Result | | -------------------------------------- | ----------------------------------------------- | | Mid-frame market alignment | Verifies momentum between 15m and 4h timeframes | | Quant AI Agent input | Supplies trend context for entry/exit decisions | | Standalone medium-term signal snapshot | Validates swing trade setups or filters noise | 📦 Installation Instructions Import workflow into your n8n instance Confirm internal webhook /1h-indicators is live and authorized Insert your OpenAI credentials for GPT-4.1-mini node Use only when triggered via: Binance Financial Analyst Tool Binance Spot Market Quant AI Agent 🧾 Licensing & Support 🔗 Don Jayamaha – LinkedIn linkedin.com/in/donjayamahajr © 2025 Treasurium Capital Limited Company Architecture, prompts, and signal logic are proprietary. Redistribution or commercial use requires explicit licensing. No unauthorized cloning permitted.
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 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 Automate With Marc
This workflow contains community nodes that are only compatible with the self-hosted version of n8n. 🧠 Market Research & Business Case Study Generator Category: AI + Research | GPT + Perplexity | Business Strategy Skill Level: Intermediate Use Case: Market Research, Business Planning, Strategic Analysis 📌 Description: This template automates the creation of comprehensive, data-backed business case studies—perfect for entrepreneurs, analysts, consultants, and market researchers. For more of such build + step-by-step video tutorials, check out: https://www.youtube.com/@Automatewithmarc Just send a simple message like: “Give me a market opportunity analysis of a bicycle rental business in North Africa.” And the workflow does the rest. It scopes your research topic, performs live web research, and crafts a well-structured 1500-word business case study—all automatically saved to Google Docs. 🔧 How It Works: 🟢 Chat Trigger: Start the workflow by sending a prompt via the built-in Chat interface (Langchain Chat Trigger). 🧭 Research Scope Definer (GPT-4o): Breaks down the user input into structured components like industry, geography, trends, and challenges. 🌐 Deep Research (Perplexity Sonar): Performs live research to retrieve relevant industry data, consumer trends, competitive insights, and more. 📘 Business Case Writer (Claude Sonnet): Synthesizes the findings into a detailed case study with sections including: Executive Summary Market Overview Opportunity Analysis Competitive Landscape Risks & Challenges Strategic Recommendations Conclusion 📄 Google Docs Integration: The final output is appended to a connected Google Doc, so all your insights are neatly stored and ready to share. 🧰 Tools Used: OpenAI GPT-4o Perplexity Sonar Deep Research Anthropic Claude Sonnet Google Docs Chat Trigger ✅ Ideal For: Business consultants & strategy teams Market researchers & analysts Startup founders & product managers Educators & MBA students
by Darsheel
This n8n workflow acts as an AI-powered Inbox Assistant that automatically summarizes and classifies Gmail emails, prioritizes important messages, and sends a daily digest to Slack. It’s ideal for startup founders and small teams juggling investor intros, customer leads, and support queries — all from a busy Gmail inbox. Each email is processed using ChatGPT to generate a concise summary, classify the message (e.g., Support, Investor, Spam), and determine its urgency. High and medium priority messages are forwarded to Slack instantly. Lower priority emails are logged to Google Sheets for review. A daily 7 PM digest summarizes the day’s most important messages. 💡 Use Cases Preventing missed investor or lead emails Lightweight CRM alternative using Google Sheets Slack summaries of critical Gmail activity 🔧 How It Works Gmail node fetches new messages ChatGPT summarizes and extracts urgency + type High/medium urgency → sent to Slack + labeled in Gmail Low urgency → logged in Google Sheets Cron node triggers a daily 7 PM Slack summary ✅ Requirements OpenAI API Key (GPT-4 or GPT-4o recommended) Gmail access with read and label permission Slack Bot Token or Webhook URL Google Sheets integration (optional) 🛠 Customization Ideas Replace Slack with Telegram or WhatsApp Route investor leads to Airtable or Notion Add multi-language support in ChatGPT prompt Create weekly summaries via email
by Vlad Temian
Description This workflow automates a video content pipeline that generates creative, Instagram Reel videos using AI. It combines OpenAI's GPT-4o-mini for idea generation with Sisif.ai's text-to-video AI technology to produce engaging short-form content automatically. Perfect for: Content creators, social media managers, marketing teams, and anyone who wants to maintain a consistent flow of AI-generated video content without manual intervention. Prerequisites Sisif.ai Account**: Sign up at sisif.ai and get your API token from https://sisif.ai/users/api-keys/ OpenAI Account**: Get your API key from OpenAI platform n8n Instance**: Self-hosted or cloud instance Step-by-step setup Import the workflow in n8n. Create OpenAI API credentials here. Create Sisif.ai API credentials here. Add OpenAI API & Sisif.ai API creds in n8n. Open the blue sticky → edit topic, style, duration, resolution. Enable the Cron trigger (defaults to every 6 h). Run once to test. Activate when ready. How it Works The workflow operates on a scheduled cycle, generating fresh video content every 6 hours: 🤖 AI Idea Generation: OpenAI's GPT-4o-mini acts as a creative video strategist, generating unique, trend-aware video concepts optimized for Instagram and social media 🎬 Video Creation: Sisif.ai transforms each creative prompt into a high-quality 5-second video in 360x640 resolution ⏱️ Smart Monitoring: The workflow intelligently monitors video generation progress, waiting for completion before proceeding 📊 Data Processing: Final video data is structured and prepared for further use or storage Key Features ⚡ Fully Automated Runs every 6 hours without manual intervention Generates 4 unique videos daily (28 videos per week) Self-monitoring with automatic retry logic 🎯 Optimized for Social Media Instagram 360x640 resolution 5-second duration for maximum engagement Trend-aware content generation Action-packed, visual storytelling 🔧 Smart Architecture Simple HTTP requests for reliable operation Bearer token authentication for secure API access Automatic status checking and waiting logic Error handling and retry mechanisms
by David Harvey
🚨 Emergency Alerts Reporter to iMessage This n8n template fetches real-time emergency incident alerts from PulsePoint for a specific agency and delivers them directly to any phone number via iMessage using the Blooio API. It's designed to keep users informed with clear, AI-summarized reports of emergency activity near them—automatically and reliably. Use cases are powerful and immediate: Get real-time fire/medical alerts for your neighborhood. Use it for family, local safety groups, or even emergency response teams. Convert technical dispatch data into readable updates with emojis and plain English. 🧠 Good to Know You’ll need a PulsePoint agency ID (see instructions below). iMessages are sent using Blooio’s API (which supports Apple’s iMessage and fallback RCS/SMS). Messages are AI-enhanced using OpenAI's o4-mini model to summarize incident reports with context and urgency. The workflow runs every hour, but this can be configured to match your needs. Each report is sent only once, thanks to persistent tracking of seen incident IDs in workflow static memory. ⚙️ How it Works Trigger: A Schedule Trigger (every hour) or manual start kicks off the flow. Get Alerts: A code node fetches the latest PulsePoint incidents for a specified agency and decrypts the data. Filter New Incidents: We store previously seen incident IDs to prevent duplicate alerts. Merge Incidents: All new incident details are merged into a single payload. Condition Check: If there are no new incidents, nothing is sent. AI Summary: The incident data is passed to an AI agent for summarization with human-friendly emojis and formatting. Send Message: The final summary is sent via Blooio’s API to your phone using iMessage. 📝 How to Use Get Your PulsePoint Agency ID: Visit https://web.pulsepoint.org. Find your agency by location or name. Inspect the API call or browser network log to get the agencyid (e.g. 19100 from a URL like ?agencyid=19100). Set Up Blooio for Messaging: Sign up at https://blooio.com. Go to your account and retrieve your Bearer API Key. Pricing details available on their pricing page. Add your key to the HTTP Request node as a Bearer Token. OpenAI API: Create or use an existing OpenAI account. Use the o4-mini model for efficient, readable summaries. Get your OpenAI API key from https://platform.openai.com/account/api-keys. Add Your Phone Number: Replace +1111112222 with your actual number (international format). You can also modify the message content or prepend special tags/emojis. ✅ Requirements PulsePoint agency ID** – See usage instructions above OpenAI API Key** – Get API Key Blooio Account & Bearer Token** – Get Started Phone number** for iMessage delivery 🔧 Customizing This Workflow Change the schedule** to get alerts more or less frequently Add filters** to only get alerts for specific incident types (e.g. fires, traffic accidents) Send to groups**: Expand to send alerts to multiple recipients or use Slack instead of iMessage Use different AI prompts** to get detailed, humorous, or abbreviated alerts depending on your audience With just a few credentials and a phone number, you’ll have real-time incident alerts with human-friendly summaries at your fingertips. 🛠️ Stay informed. Stay safe.
by Sunny Thaper
Workflow Overview: This n8n workflow template takes a US phone number as input, validates it, and returns it in multiple standard formats, including handling extensions. It's designed to streamline the process of standardizing phone number data within your automations. How it Works: Input: Accepts a phone number string as input. This number can be in various common formats (e.g., (555) 123-4567, 555.123.4567, +15551234567, 5551234567x890). Formatting Removal: Strips all non-numeric characters to isolate the core number and any potential extension. Validation: Country Code Check:** Verifies if the number starts with the US country code (+1 or 1) or assumes US if no country code is present and the length is correct. Length Check:** Ensures the main number component consists of exactly 10 digits after stripping formatting and the country code. Output Generation (if valid): If the number passes validation, the workflow outputs the phone number in several standardized formats: Number Only:** 5551234567 E.164 Standard:** +15551234567 National Standard:** (555) 123-4567 Full National Standard:** 1 (555) 123-4567 International Standard:** 00-1-555-123-4567 Extension Handling: If an extension is detected in the input, it is separated and provided as: Extension (Number):** 890 Extension (String):** "890" Use Cases: Cleaning and standardizing phone number data in CRM systems. Formatting numbers before sending SMS messages via APIs. Validating user input from forms. Ensuring consistent phone number representation across different applications.
by Aitor | 1Node
Template Description This template creates a powerful Retrieval Augmented Generation (RAG) AI agent workflow in n8n. It monitors a specified Google Drive folder for new PDF files, extracts their content, generates vector embeddings using Cohere, and stores these embeddings in a Milvus vector database. Subsequently, it enables a RAG agent that can retrieve relevant information from the Milvus database based on user queries and generate responses using OpenAI, enhanced by the retrieved context. Functionality The workflow automates the process of ingesting documents into a vector database for use with a RAG system. Watch New Files: Triggers when a new file (specifically targeting PDFs) is added to a designated Google Drive folder. Download New: Downloads the newly added file from Google Drive. Extract from File: Extracts text content from the downloaded PDF file. Default Data Loader / Set Chunks: Processes the extracted text, splitting it into manageable chunks for embedding. Embeddings Cohere: Generates vector embeddings for each text chunk using the Cohere API. Insert into Milvus: Inserts the generated vector embeddings and associated metadata into a Milvus vector database. When chat message received: Adapt the trigger tool to fit your needs. RAG Agent: Orchestrates the RAG process. Retrieve from Milvus: Queries the Milvus database with the user's chat query to find the most relevant chunks. Memory: Manages conversation history for the RAG agent to optimize cost and response speed. OpenAI / Cohere embeddings: Uses ChatGPT 4o for text generation. Requirements To use this template, you will need: An n8n instance (cloud or self-hosted). Access to a Google Drive account to monitor a folder. A Milvus instance or access to a Milvus cloud service like Zilliz. A Cohere API key for generating embeddings. An OpenAI API key for the RAG agent's text generation. Usage Set up the required credentials in n8n for Google Drive, Milvus, Cohere, and OpenAI. Configure the "Watch New Files" node to point to the Google Drive folder you want to monitor for PDFs. Ensure your Milvus instance is running and the target cluster is set up correctly. Activate the workflow. Add PDF files to the monitored Google Drive folder. The workflow will automatically process them and insert their embeddings into Milvus. Interact with the RAG agent. The agent will use the data in Milvus to provide context-aware answers. Benefits Automates document ingestion for RAG applications. Leverages Milvus for high-performance vector storage and search. Uses Cohere for generating high-quality text embeddings. Enables building a context-aware AI agent using your own documents. Suggested improvements Support for More File Types:** Extend the "Watch New Files" node and subsequent extraction steps to handle various document types (e.g., .docx, .txt, .csv, web pages) in addition to PDFs. Error Handling and Notifications:** Implement robust error handling for each step of the workflow (e.g., failed downloads, extraction errors, Milvus insertion failures) and add notification mechanisms (e.g., email, Slack) to alert the user. Get in touch with us Contact us at https://1node.ai
by Agent Circle
This n8n template demonstrates how to use AI to generate custom images from scratch - fully automated, prompt-driven, and ready to deploy at scale. Use cases are many: You can use it for marketing visuals, character art, digital posters, storyboards, or even daily image generation for your personal purposes. How It Works The flow is triggered by a chat message in N8N or via Telegram. The default image size is 1080 x 1920 pixels. To use a different size, update the values in the “Fields - Set Values” node before triggering the workflow. The input is parsed into a clean, structured prompt using a multi-step transformation process. Our AI Agent sends the final prompt to Google Gemini’s image model for generation (you can also integrate with OpenAI or other chat models). The raw image data created by the AI Agent will be run through a number of codes to make sure it's feasible for your preview if needed and downloading. Then, we use an HTTP node to fetch the result so you can preview the image. You can send it back to the chat message in N8N or Telegram, or save it locally to your disk. How To Use Download the workflow package. Import the package into your N8N interface. Set up the credentials in the following nodes for tool access and usability: "Telegram Trigger"; "AI Agent - Create Image From Prompt"; "Telegram Response" or "Save Image To Disk" (based on your wish). Activate the "Telegram Response" OR "Save Image To Disk" node to specify where you want to save your image later. Open the chat interface (via N8N or Telegram). Type your image prompt or detailed descriptions and send. Wait for the process to run and finish in a few seconds. Check the result in your desired saving location. Requirements Google Gemini account with image generation access. Telegram bot access and chat setup (optional). Connection to local storage (optional). How To Customize We’re setting the default image size to 1080 x 1920 pixels and the default image model to "flux". You can customize both of these values in the “Fields – Set Values” node. Supported image model options include: "flux", "kontext", "turbo", and "gptimage". In the “AI Agent – Create Image From Prompt” node, you can also change the AI chat model. By default, it uses Google Gemini, but you can easily replace it with OpenAI ChatGPT, Microsoft AI Copilot, or any other compatible provider. Need Help? Join our community on different platforms for support, inspiration and tips from others. Website: https://www.agentcircle.ai/ Etsy: https://www.etsy.com/shop/AgentCircle Gumroad: http://agentcircle.gumroad.com/ Discord Global: https://discord.gg/d8SkCzKwnP FB Page Global: https://www.facebook.com/agentcircle/ FB Group Global: https://www.facebook.com/groups/aiagentcircle/ X: https://x.com/agent_circle YouTube: https://www.youtube.com/@agentcircle LinkedIn: https://www.linkedin.com/company/agentcircle
by Jesse White
Automate High-Quality Voice with Google Text-to-Speech & n8n Effortlessly convert any text into stunningly realistic, high-quality audio with this powerful n8n workflow. Leveraging Google's advanced Text-to-Speech (TTS) AI, this template provides a complete, end-to-end solution for generating, storing, and tracking voiceovers automatically. Whether you're a content creator, marketer, or developer, this workflow saves you countless hours by transforming your text-based scripts into ready-to-use audio files. The entire process is initiated from a simple form, making it accessible for users of all technical levels. Features & Benefits 🗣️ Studio-Quality Voices: Leverage Google's cutting-edge AI to produce natural and expressive speech in a wide variety of voices and languages. 🚀 Fully Automated Pipeline: From text submission to final file storage, every step is handled automatically. Simply input your script and let the workflow do the rest. ☁️ Seamless Cloud Integration: Automatically uploads generated audio files to Google Drive for easy access and sharing. 📊 Organized Asset Management: Logs every generated audio file in an Airtable base, complete with the original script, a direct link to the file, and its duration. ⚙️ Simple & Customizable: The workflow is ready to use out-of-the-box but can be easily customized. Change the trigger, add notification steps, or integrate it with other services in your stack. Perfect For a Variety of Use Cases 🎬 Content Creators: Generate consistent voiceovers for YouTube videos, podcasts, and social media content without needing a microphone. 📈 Marketers: Create professional-sounding audio for advertisements, product demos, and corporate presentations quickly and efficiently. 🎓 Educators: Develop accessible e-learning materials, audiobooks, and language lessons with clear, high-quality narration. 💻 Developers: Integrate dynamic voice generation into applications, build interactive voice response (IVR) systems, or provide audio feedback for user actions. How The Workflow Operates Initiate with a Form: The process begins when you submit a script, a desired voice, and language through a simple n8n Form Trigger. Synthesize Speech: The workflow sends the text to Google's Text-to-Speech API, which generates the audio and returns it as a base64 encoded file. Process and Upload: The data is converted into a binary audio file and uploaded directly to a specified folder in your Google Drive. Enrich Metadata: The workflow then retrieves the audio file's duration using the fal.ai ffmpeg API, adding valuable metadata. Log Everything: Finally, it creates a new record in your Airtable base, storing the asset name, description (your script), content type, file URLs from Google Drive, and the audio duration for perfect organization. What You'll Need To use this workflow, you will need active accounts for the following services: Google Cloud oAuth2 Client Credentials:** With the Text-to-Speech API enabled. Google Drive:** For audio file storage. Airtable:** For logging and asset management. fal.ai:** For the ffmpeg API used to get audio duration.