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3.557 fertige Workflow-Dateien zum Download, plus 10.661 quellenverknüpfte n8n-Referenzen.
Generate Custom AI Images with OpenAI GPT-Image-1 Model
How it works Trigger the workflow manually via the n8n UI. Define key parameters like the image prompt, number of images, size, quality, and model. Send a POST request to OpenAI’s image generation API using those inputs. Split the API response to handle multiple images. Convert the base64 image data into downloadable binary files. Set up steps Initial setup takes around 5–10 minutes. You’ll need an OpenAI API key, a configured HTTP Request node with credentials, and to customize the prompt/parameter fields in the “Set Variables” node. No advanced config or external services needed. Important Note You have to make sure to complete OpenAI's new verification requirements to use their new image API: https://help.openai.com/en/articles/10910291-api-organization-verification It only takes a few minutes and does not cost any money.
BIndeed Data Scraper & Summarization with Airtable, Bright Data & Google Gemini
Who this is for? Indeed Data Scraper & Summarization with Airtable, Bright Data and Google Gemini is an automated workflow that extracts company profile information from Indeed using Bright Data Web Unlocker, transforms the data using Google Gemini's LLM, and forward the transformed response with the summary to a specified webhook for downstream use. This workflow is tailored for: Recruiters and HR teams who want quick summaries of companies listed on Indeed. Market researchers and analysts needing structured insights into businesses. Founders, investors, and consultants scouting potential competitors, partners, or clients. No-code enthusiasts looking to automate data extraction and enrichment pipelines without manual scraping or parsing. What problem is this workflow solving? Manually gathering structured information about companies on Indeed is time-consuming and inconsistent. Pages vary in structure, and extracting clean, digestible summaries can require technical scraping expertise. This workflow automates: Extracting company data from Indeed reliably using Bright Data Web Unlocker. Cleaning and summarizing the extracted content using Google Gemini LLM. Storing structured insig
Extract & Summarize Indeed Company Info with Bright Data and Google Gemini
Who this is for? Extract & Summarize Indeed Company Info is an automated workflow that extracts the Indeed company profile information using Bright Data Web Unlocker, transform it using Google Gemini’s LLM, and forward the transformed response with the summary to a specified webhook for downstream use. This workflow is tailored for: Recruiters and HR teams looking to assess companies quickly during talent sourcing. Job seekers researching potential employers and needing summarized company insights. Market researchers and analysts monitoring competitor or industry players. What problem is this workflow solving? Searching and evaluating company profiles on Indeed manually can be time-consuming and inefficient, especially when dealing with large volumes of companies. Manually browsing, copying, and summarizing company descriptions, reviews, and ratings from Indeed hinders productivity and limits real-time insights. This workflow solves this by: Automating the extraction of company details from Indeed using Bright Data Web Unlocker. Summarizing the raw data using Google Gemini's language model for a quick, human-readable overview. Sending the transformed response with the summary to a
WScrape Books from URL with Dumpling AI, Clean HTML, Save to Sheets, Email as CSV
👥 Who is this for? This workflow is ideal for virtual assistants, researchers, developers, automation specialists, and data analysts who need to regularly extract and organize structured product information (like books) from a website. It’s especially useful for those working with catalog-based websites who want to automate extraction and delivery of clean, sorted data. 🧩 What problem is this solving? Manually copying product listings like book titles and prices from a website into a spreadsheet is slow and repetitive. This automation solves that problem by scraping content using Dumpling AI, extracting the right data using CSS selectors, and formatting it into a clean CSV file that is sent to your email—all triggered automatically when a new URL is added to Google Sheets. ⚙️ What this workflow does This template automates an entire content scraping and delivery process: Watches a Google Sheet for new URLs Scrapes the HTML content of the given webpage using Dumpling AI Uses CSS selectors in the HTML node to extract each book from the page Splits the HTML array into individual items Extracts the book title and price from each HTML block Sorts the books in descending order based on
WAutomated Generation of AI Advertising Photos for Product Marketing
How it works This workflow automates the transformation of standard product images into professional product photography featuring human models It uses AI to analyze product images, create tailored photography prompts, and generate high-quality enhanced versions Set up steps You'll need an OpenAI API key and access to gpt-image-1 (verify your organization) Set up a Google Sheets spreadsheet with columns: Image-URL, Prompt, Output Create a Google Drive folder to store the generated images Requirements: OpenAI API access (for image generation and analysis) Google Sheets and Google Drive accounts Basic product images (URLs) as input The spreadsheet must contain a column named "Image-URL" with links to the product images This workflow automatically: Reads product image URLs from your Google Sheet Downloads the images for processing Analyzes each image to understand what product it contains Creates specialized photography prompts ensuring each product is shown with a human model Generates professional product photography using OpenAI's image generation capabilities Uploads results to Google Drive and updates your spreadsheet with links Extra: You can also use the included simple image g
Daily Personalized Air & Pollen Health Alerts with Ambee API and AI via Email
This workflow fetches real-time air quality and pollen data using Ambee’s APIs and sends a friendly, personalized daily summary by email. It uses a scheduler to automate data collection, AI-generated health tips, and clear, actionable messages—perfect for sensitive users (e.g. kids with asthma, allergy sufferers). Use Case: Ideal for individuals with respiratory conditions, allergies, or those who want to stay informed about environmental conditions affecting their health. Set up steps Estimated time: 10–15 minutes You'll need: Ambee API key (free registration) OpenAI API key Email credentials (Gmail) User Profile 💡 Keep in mind: You’ll need to input your location coordinates (we’ve pre-filled Braunschweig as an example). The AI Agent node uses a ready-made prompt that’s tailored for email—but feel free to adapt it to other messaging platforms.
Automate Digital Delivery After PayPal Purchase Using n8n
Automate Digital Delivery After PayPal Purchase Using n8n A Complete Step-by-Step Guide to Seamless Template Delivery Built by Amjid Ali – SyncBricks Deliver personalized files instantly after PayPal transactions using n8n – without writing a single backend line. 🚀 What This n8n Workflow Does This automation template helps you automatically deliver a digital product (such as an n8n template or JSON file) to customers who pay via PayPal — within seconds. You can: Automatically extract customer info Identify what was purchased Send a clean, branded email with the product file Promote your other courses, books, and tools 📦 Use Case Example Product: AI-Powered Social Media Content Generator & Publisher When a customer buys this product through PayPal, this automation: Listens for a successful payment event Fetches order details via API Sends an HTML email with the template attached Promotes your other offerings with embedded links 🔧 Prerequisites You’ll need: An n8n instance (self-hosted or n8n Cloud) A PayPal developer account PayPal OAuth2 credentials configured in n8n Your product hosted as a downloadable .json file (Oracle, Dropbox, GitHub, etc.) SMTP email credentials in n8n 🧠
Generate and Edit Images with OpenAI's GPT-Image-1 Model
This template integrates OpenAI's image generation and editing endpoints via the GPT-Image-1 model to visually create and manipulate images based on prompts. It features base64 conversion, binary handling, and prompt chaining. Perfect for marketing, design, product visuals and creative workflows. 🛠️ Requirements OpenAI account with access to gpt-image-1(probably you need organizations verifications for access to that model) OpenAI API credentials configured in n8n A self-hosted or cloud n8n instance Basic familiarity with the n8n UI (no programming required) 🔧 Step-by-step Instructions Step 1: Manual Trigger Starts the workflow on click. Ideal for testing the generation and edit logic. Step 2: Generate Image The Create image call node sends a prompt to OpenAI and returns a base64 image. Example prompt: A cyberpunk city at night with flying cars and neon lights Step 3: Convert to Binary The base64 image is converted into a usable binary PNG file with the Convert json binary to File node. Step 4: Edit the Image The binary file is passed to OpenAI’s /images/edits endpoint. A new prompt applies changes to the image. Example: Add a glowing robot in the foreground with a neon sword ✅ S
Multi-Agent AI Clinic Management with WhatsApp, Telegram, and Google Calendar
Healthcare Clinic Assistant with WhatsApp and Telegram Integration Version: 1.1.0 n8n Version: 1.88.0+ License: MIT 📋 Description A comprehensive and modular automation workflow designed for healthcare clinics. It manages patient communication, appointment scheduling, confirmations, rescheduling, internal tasks, and media processing by integrating WhatsApp, Telegram, Google Calendar, and Google Tasks, combined with AI-powered agents for maximum efficiency. This system guarantees proactive communication with patients, streamlined internal clinic management, and consistent data synchronization across platforms. 🌟 Key Features 🤖 AI-Powered Specialized Agents: Distinct agents handle WhatsApp patient support, appointment confirmations, and internal rescheduling tasks. 📱 Omnichannel Communication: Handles patient interactions via WhatsApp and staff commands via Telegram. 📅 Google Calendar Appointment Management: Full synchronization for creating, updating, canceling, and confirming appointments. 📋 Task Management with Google Tasks: Manages shopping lists and administrative tasks efficiently through staff Telegram requests. 🔔 Automated Appointment Reminders: Daily-triggered system
Upload File to SharePoint Using Microsoft Graph API
This n8n workflow template allows you to upload a photo to a SharePoint folder using the Microsoft Graph API. The workflow includes steps for authentication, retrieving a photo for testing purposes, setting the destination folder and file name, and uploading the photo. Who is this for? This workflow is ideal for users who need to automate the process of uploading images to SharePoint. It is particularly useful for developers, IT administrators, and anyone managing digital assets within a SharePoint environment. What problem is this workflow solving? / Use Case This workflow addresses the need to automate the uploading of photos to a specific SharePoint folder. By using the Microsoft Graph API, it ensures secure and efficient file management, reducing manual effort and potential errors. What this workflow does Trigger the Workflow: The workflow starts when the user clicks the 'Test workflow' button. Set Configuration: Sensitive data such as TENANT_ID, CLIENT_ID, and CLIENT_SECRET are set. Authentication: Obtains an access token from Microsoft Graph API using the provided credentials. Get Photo: Retrieves a sample photo from a URL for testing purposes. Set Destination: Sets the targe
Generate Images with OpenAI new GPT-Image-1 Model via User-Friendly Form
Welcome to my Simple OpenAI Image Generator Workflow! This workflow creates an image with the new OpenAI image model "GPT-Image-1" based on a form input. This workflow has the following sequence: Form trigger (image prompt and image size input) Generate the Image via OpenAI API. Return the image to the input form for download. The following accesses are required for the workflow: OpenAI API access: Documentation Instructions Link your OpenAI Platform account in the “OpenAI Image Generation” node ("Credential Type") You can contact me via LinkedIn, if you have any questions: https://www.linkedin.com/in/friedemann-schuetz
AI-Powered Gmail Email Organization with Auto-Archiving and Priority Labels
Who is this for? This workflow is perfect for busy professionals, students, or anyone who struggles to keep their Gmail inbox organized and clutter-free. What problem is this workflow solving? It helps you avoid email overload by automating the process of organizing your Gmail inbox. Unnecessary emails are archived, while important emails are categorized into "MustRead" or "NotNeed" for better prioritization. What this workflow does Connects to your Gmail inbox. Automatically archives emails that are unnecessary or irrelevant. Sorts remaining emails into two categories: MustRead: Emails that require immediate attention. NotNeed: Less critical emails for review later. Setup Connect your Gmail account to the workflow. Define the criteria for "MustRead" and "NotNeed" emails by updating the filter rules in the nodes. Activate the workflow to start organizing your inbox. How to customize this workflow to your needs Adjust the filters for archiving emails based on your specific preferences. Modify the sorting rules for "MustRead" and "NotNeed" categories to match your workflow. Add additional actions, such as sending notifications for "MustRead" emails.
WBacklink Monitoring Automation with Google Sheets + DataForSEO
What This Workflow Does This n8n workflow reads backlinks from a Google Sheet, sends each one to the DataForSEO On-Page API, and checks: Whether the backlink is still live on the target page Whether it's dofollow or nofollow Whether it's missing (i.e., lost) The result is then written back to the same Google Sheet under a Status column. Your result will look like this: Step-by-Step Setup Instructions Add your DataForSEO and Google Sheets credentials in n8n Make sure your Google Sheet has these columns: Backlink URL, Landing page, and Status Click the Test Workflow button to check a batch of backlinks Workflow Breakdown Trigger: Manual test start Read Data: Pulls backlink URLs and target pages from Google Sheets Format URLs: Extracts domain from URL Send POST Request to DataForSEO: Triggers a crawl on the backlink URL Wait 20 seconds: Allows crawl to finish Fetch Link Results: Retrieves backlink data from DataForSEO Validate Backlink: Checks if the backlink is live, and whether it’s dofollow Update Google Sheets: Logs the status as Live, Lost, or Lost (Nofollow)
🗞️ AI-powered sustainability newsletter for marketing with Gmail, GPT-4o
Tags: Sustainability, Web Scraping, OpenAI, Google Sheets, Newsletter, Marketing Context Hey! I’m Samir, a Supply Chain Engineer and Data Scientist from Paris, and the founder of LogiGreen Consulting. We use AI, automation, and data to support sustainable business practices for small, medium and large companies. I use this workflow to bring awareness about sustainability and promote my business by delivering automated daily news digests. > Promote your business with a fully automated newsletter powered by AI! This n8n workflow scrapes articles from the official EU news website and sends a daily curated digest, highlighting only the most relevant sustainability news. 📬 For business inquiries, feel free to connect with me on LinkedIn Who is this template for? This workflow is useful for: Business owners** who want to promote their service or products with a fully automated newsletter Sustainability professionals** staying informed on EU climate news Consultants and analysts** working on CSRD, Green Deal, or ESG initiatives Corporate communications teams** tracking relevant EU activity Media curators** building newsletters What does it do? This n8n workflow: ⏰ Triggers automatical
Extract Amazon Best Seller Electronic Info with Bright Data and Google Gemini
Who this is for? Extract Amazon Best Seller Electronic Info is an automated workflow that extracts best seller data from Amazon's Electronics section using Bright Data Web Unlocker, transform it into structured JSON using Google Gemini's LLM, and forwards a fully structured JSON response to a specified webhook for downstream use. This workflow is tailored for: eCommerce Analysts** Who need to monitor Amazon best-seller trends in the Electronics category and track changes in real-time or on a schedule. Product Intelligence Teams** Who want structured insights on competitor offerings, including rankings, prices, ratings, and promotions. AI-powered Chatbot Developers** Who are building assistants capable of answering product-related queries with fresh, structured data from Amazon. Growth Hackers & Marketers** Looking to automate competitive research and surface trending product data to inform pricing strategies. Data Aggregators and Price Trackers** Who need reliable and smart scraping of Amazon data enriched with AI-driven parsing. What problem is this workflow solving? Keeping up with Amazon's best sellers in Electronics is a time-consuming, error-prone task when done manually.This
Google Calendar MCP server for AI Agent with Dynamic Scheduling
Google Calendar AI Agent with Dynamic Scheduling Version: 1.0.0 n8n Version: 1.88.0+ Author: Koresolucoes License: MIT Description An AI-powered workflow to automate Google Calendar operations using dynamic parameters and MCP (Model Control Plane) integration. Enables event creation, availability checks, updates, and deletions with timezone-aware scheduling [[1]][[2]][[8]]. Key Features: 📅 Full Calendar CRUD: Create, read, update, and delete events in Google Calendar. ⏰ Availability Checks: Verify time slots using AVALIABILITY_CALENDAR node with timezone support (e.g., America/Sao_Paulo). 🤖 AI-Driven Parameters: Use $fromAI() to inject dynamic values like Start_Time, End_Time, and Description [[3]][[4]]. 🔗 MCP Integration: Connects to an MCP server for centralized AI agent control [[5]][[6]]. Use Cases Automated Scheduling: Book appointments based on AI-recommended time slots. Meeting Coordination: Sync calendar events with CRM/task management systems. Resource Management: Check room/equipment availability before event creation. Instructions 1. Import Template Go to n8n > Templates > Import from File and upload this workflow. 2. Configure Credentials Add Google Calendar OA
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Capture Gumroad sales, add buyer to MailerLite group, log to Google Sheets CRM
Turn Gumroad buyers into loyal email subscribers and keep your CRM up‑to‑date. When someone makes a purchase on your Gumroad store, this n8n workflow instantly adds that customer to the right MailerLite group (so your nurture sequence starts on time) and writes the sale details into your Google Sheets CRM. You’ll never copy‑and‑paste orders again, and every buyer begins receiving your follow‑up emails the moment they purchase. Requirements A Gumroad account with a product listed A MailerLite account. A MailerLite group of subscribers created Enabled APIs and credentials for Google Sheets, MailerLite and Gumroad How it works Listen for a new sale on Gumroad** The Gumroad trigger watches your account 24/7 and fires as soon as a sale is completed. Create (or update) the subscriber in MailerLite** Their name and email are added to MailerLite. If they already exist, the workflow simply updates their profile. Assign the subscriber to your Gumroad group** Grouping lets your MailerLite automation send the right onboarding or upsell sequence without manual tagging. Log the purchase in Google Sheets** The buyer’s contact details, product, price, and date are appended as a new row in your CRM
MCP Supabase Server for AI Agent with RAG & Multi-Tenant CRUD
Supabase AI Agent with RAG & Multi-Tenant CRUD Version: 1.0.0 n8n Version: 1.88.0+ Author: Koresolucoes License: MIT Description A stateful AI agent workflow powered by Supabase and Retrieval-Augmented Generation (RAG). Enables persistent memory, dynamic CRUD operations, and multi-tenant data isolation for AI-driven applications like customer support, task orchestration, and knowledge management. Key Features: 🧠 RAG Integration: Leverages OpenAI embeddings and Supabase vector search for context-aware responses. 🗃️ Full CRUD: Manage agent_messages, agent_tasks, agent_status, and agent_knowledge in real time. 📤 Multi-Tenant Ready: Supports per-user/organization data isolation via dynamic table names and webhooks. 🔒 Secure: Role-based access control via Supabase Row Level Security (RLS). Use Cases Customer Support Chatbots: Persist conversation history and resolve queries using institutional knowledge. Automated Task Management: Track and update task statuses dynamically. Knowledge Repositories: Store and retrieve domain-specific information for AI agents. Instructions 1. Import Template Go to n8n > Templates > Import from File and upload this workflow. 2. Configure Credenti
AI-Powered Research Assistant with Perplexity Sonar API
Name: AI-Powered Research Agent using Perplexity Sonar Description: This workflow acts as an AI-powered research assistant using the Perplexity Sonar model. When triggered by another workflow, it sends a user-defined prompt to the Perplexity API to retrieve up-to-date search results. The response is then parsed into a clean format for downstream processing. How it Works: Trigger: Activated from another workflow via Execute Workflow Trigger. Prompt Setup: Sets a system role message and user query dynamically. API Call: Sends a POST request to Perplexity's /chat/completions endpoint with your credentials. Response Handling: Extracts the message content from the API response. Output: Returns the result, ready for display or further processing. Requirements: A Perplexity AI API Key Set up authentication via Header Auth with Bearer token Ensure your account allows outbound HTTP requests in n8n Customization Tips: Modify the system prompt to suit your research domain Chain this workflow with other automation like blog creation, summaries, etc. Replace the output handling logic to fit into Google Sheets, Notion, or Telegram
Publish image & video to multiple social media (X, Instagram, Facebook and more)
This Workflow streamlines the process of publishing posts (image or video) to multiple social media platforms using a unified form and a third-party API service called Upload-Post. The automation starts with a form trigger, allowing users to submit content (text and media) through a simple frontend interface. Users select the platform (Instagram, LinkedIn, Facebook, X, TikTok, Threads), choose the profile name, write a caption, and upload a photo or video. How It Works Automates cross-platform social media posting via Upload-Post, handling both images (JPEG) and videos (MP4). Here’s the process: Trigger**: A form submission captures user inputs: Platform (Instagram, LinkedIn, Facebook, X, TikTok, Threads). Account (pre-configured profile name). Caption and file (image/video). Optional Facebook Page ID for targeted posting. Routing**: The "Video or Photo?" Switch node checks the file’s MIME type: Image: Routes to the "Post photo" HTTP node (uploads via upload_photos API). Video: Routes to the "Post video" HTTP node (uploads via upload API). API Integration**: Both nodes send data to Upload-Post.com’s API, including: Caption, account name, platform, and file binary. Facebook ID (if p
Automated Property Lead Generation with BatchData and CRM Integration
How It Works This N8N workflow creates an automated system for discovering high-potential real estate investment opportunities. The workflow runs on a customizable schedule to scan the market for properties that match your specific criteria, then alerts your team about the most promising leads. The process follows these steps: Connects to BatchData API on a regular schedule to search for properties matching your parameters Compares new results with previous scans to identify new listings and property changes Applies intelligent filtering to focus on high-potential opportunities (high equity, absentee owners, etc.) Retrieves comprehensive property details and owner information for qualified leads Delivers formatted alerts through multiple channels (email and Slack/Teams) Each email alert includes detailed property information, owner details, equity percentage, and a direct Google Maps link to view the property location. The workflow also posts concise notifications to your team's communication channels for quick updates. Who It's For This workflow is designed for: Real Estate Investors: Find off-market properties with high equity and motivated sellers Real Estate Agents: Identify po
Automated Real Estate Property Lead Scoring with BatchData
How It Works This workflow automates the real estate lead qualification process by leveraging property data from BatchData. The automation follows these steps: When a new lead is received through your CRM webhook, the workflow captures their address information It then makes an API call to BatchData to retrieve comprehensive property details A sophisticated scoring algorithm evaluates the lead based on property characteristics like: Property value (higher values earn more points) Square footage (larger properties score higher) Property age (newer constructions score higher) Investment status (non-owner occupied properties earn bonus points) Lot size (larger lots receive additional score) Leads are automatically classified into categories (high-value, qualified, potential, or unqualified) The workflow updates your CRM with enriched property data and qualification scores High-value leads trigger immediate follow-up tasks for your team Notifications are sent to your preferred channel (Slack in this example) The entire process happens within seconds of receiving a new lead, ensuring your sales team can prioritize the most valuable opportunities immediately.. Who It's For This workflow
Business Model Canvas AI-Powered Generator (LLM Flexible)
👥 Who is this for? Startup founders validating or pitching new ideas Business consultants running strategy sessions Product teams defining business logic visually Agencies offering planning frameworks to clients ❓ What problem does this workflow solve? Creating a Business Model Canvas manually is time-consuming and often scattered across tools. This workflow solves that by allowing users to generate a fully populated, formatted, and printable Business Model Canvas in seconds using the power of AI, all structured in a professional A4 landscape layout. ⚙️ What this workflow does Starts with a chat input asking for your business idea Sends it to 9 separate AI agents, each focused on one section: Key Partners Key Activities Value Proposition Customer Relationships Customer Segments Key Resources Channels Cost Structure Revenue Streams Uses your preferred LLM (see below) to generate meaningful bullet points Converts output into a specific format Merges all sections into a clean, A4-styled HTML canvas Exports the result as a downloadable .html file 🛠️ Setup Import the workflow into your n8n instance Start the flow from the “When chat message received” node Describe your business idea w
Build a Chatbot, Voice and Phone Agent with Voiceflow, Google Calendar and RAG
Voiceflow is a no-code platform that allows you to design, prototype, and deploy conversational assistants across multiple channels—such as chat, voice, and phone—with advanced logic and natural language understanding. It supports integration with APIs, webhooks, and even tools like Twilio for phone agents. It's perfect for building customer support agents, voice bots, or intelligent assistants. This workflow connects n8n and Voiceflow with tools like Google Calendar, Qdrant (vector database), OpenAI, and an order tracking API to power a smart, multi-channel conversational agent. There are 3 main webhook endpoints in n8n that Voiceflow interacts with: n8n_order – receives user input related to order tracking, queries an API, and responds with tracking status. n8n_appointment – processes appointment booking, reformats date input using OpenAI, and creates a Google Calendar event. n8n_rag – handles general product/service questions using a RAG (Retrieval-Augmented Generation) system backed by: Google Drive document ingestion, Qdrant vector store for search, and OpenAI models for context-based answers. Each webhook is connected to a corresponding "Capture" block inside Voiceflow, which