General Automation
421 results — all source-linked n8n references
Asynchronous Bulk Web Scraping with Bright Data & Webhook Notifications
Who this is for The Async Structured Bulk Data Extract with Bright Data Web Scraper workflow is designed for data engineers, market researchers, competitive intelligence teams, and automation developers who need to programmatically collect and structure high-volume data from the web using Bright Data's dataset and snapshot capabilities. This workflow is built for: Data Engineers - Building large-scale ETL pipelines from web sources Market Researchers - Collecting bulk data for analysis across competitors or products Growth Hackers & Analysts - Mining structured datasets for insights Automation Developers - Needing reliable snapshot-triggered scrapers Product Managers - Overseeing data-backed decision-making using live web information What problem is this workflow solving? Web scraping at scale often requires asynchronous operations, including waiting for data preparation and snapshots to complete. Manual handling of this process can lead to timeouts, errors, or inconsistencies in results. This workflow automates the entire process of submitting a scraping request, waiting for the snapshot, retrieving the data, and notifying downstream systems all in a structured, repeatable fashion
OpenAI ImageGen1 via HTTP Request (Edit Image)
Edit an existing image with OpenAI ImageGen1 via API Request Transform your creative pipeline by letting n8n call OpenAI ImageGen1’s edit image endpoint, automatically replacing or augmenting parts of any image you supply and returning a brand-new version in seconds. Designers, marketers, and product teams can eliminate repetitive manual edits and test more variations, faster. Who is this for? Content creators who need quick, on-brand image tweaks Marketers running A/B visual tests at scale Developers exploring the new ImageGen1 API inside low-code automations Use case / problem solved Opening design software to mask, fill, or swap objects is slow and error-prone. This workflow feeds an input image plus a prompt to OpenAI ImageGen1, receives the edited output, and passes it on to any service you like—perfect for bulk-editing product shots, social visuals, or UI mocks. What this workflow does Read or receive the source image (Webhook → Binary Data). Call OpenAI ImageGen1 with an HTTP Request node, sending the image and edit prompt. Parse the JSON response to capture the returned image URL. Download & hand off the edited file (e.g., upload to S3, post to Slack, or store in Drive). Se
Google Autocomplete Keyword Scraper
Who is this template for? This workflow template is built for SEO specialists and digital marketers looking to uncover keyword opportunities effortlessly. It uses Google's autocomplete magic to help you spot what's trending. How it works Just give it a keyword. The workflow then queries Google and collects all autocomplete suggestions by appending every letter from A to Z to your keyword. Output example with the keyword "n8n" : You can sort these keywords and give them to an LLM to produce entity-enriched text. Setup instructions It works right out of the box. 🛠️ However, you may want to tweak the output format to better fit your use case. Exporting the Keywords You can easily add a node to export the keywords in various ways: via a webhook by email as a file (e.g., saved to Google Drive) directly to a website Adapting the Language Autocomplete results depend on the selected language. You can change the &hl=en parameter in the Google Autocomplete node. Replace the "en" part with the language code of your choice. Examples: &hl=fr → French &hl=es → Spanish &hl=de → German
Standardize US Phone Numbers with Multiple Format Options and Validation
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 extensi
Generate SEO Content Audit Reports with DataForSEO and Google Search Console
Introduction The Content SEO Audit Workflow is a powerful automated solution that generates comprehensive SEO audit reports for websites. By combining the crawling capabilities of DataForSEO with the search performance metrics from Google Search Console, this workflow delivers actionable insights into content quality, technical SEO issues, and performance optimization opportunities. The workflow crawls up to 1,000 pages of a website, analyzes various SEO factors including metadata, content quality, internal linking, and search performance, and then generates a professional, branded HTML report that can be shared directly with clients. The entire process is automated, transforming what would typically be hours of manual analysis into a streamlined workflow that produces consistent, thorough results. This workflow bridges the gap between technical SEO auditing and practical, client-ready deliverables, making it an invaluable tool for SEO professionals and digital marketing agencies. Who is this for? This workflow is designed for SEO consultants, digital marketing agencies, and content strategists who need to perform comprehensive content audits for clients or their own websites. It's
Connect Retell Voice Agents to Custom Functions
Overview This workflow allows you to trigger custom logic in n8n directly from Retell's Voice Agent using Custom Functions. It captures a POST webhook from Retell every time a Voice Agent reaches a Custom Function node. You can plug in any logic—call an external API, book a meeting, update a CRM, or even return a dynamic response back to the agent. Who is it for For builders using Retell who want to extend Voice Agent functionality with real-time custom workflows or AI-generated responses. Prerequisites Have a Retell AI Account A Retell agent with a Custom Function node in its conversation flow (see template below) Set your n8n webhook URL in the Custom Function configuration (see "How to use it" below) (Optional) Familiarity with Retell's Custom Function docs Start a conversation with the agent (text or voice) Retell Agent Example To get you started, we've prepared a Retell Agent ready to be imported, that includes the call to this template. Import the agent to your Retell workspace (top-right button on your agent's page) You will need to modify the function URL in order to call your own instance. This template is a simple hotel agent that calls the custom function to confirm a bo
🎥 Gemini AI Video Analysis
📝 Overview This workflow leverages Google Gemini 2.0 Flash multimodal AI to automatically generate detailed descriptions of video content from any public URL. It streamlines video understanding, making it ideal for content cataloging, accessibility, and content moderation. 💡 Use Cases ♿ Accessibility: Automatically generate detailed video descriptions for visually impaired users. 🛡️ Content Moderation: Detect inappropriate or off-brand material without manual watching. 🗂️ Media Cataloging: Enrich your media library with automatically extracted metadata. 📈 Marketing & Branding: Gain fast insights into key elements, tone, and branding in video content. ⚙️ Setup Instructions 🔑 Get a Gemini API Key Register at ai.google.dev and create an API key. Before running the workflow, set your Gemini API key as an environment variable named GeminiKey for secure access within the workflow. In the Set Input node, reference this environment variable instead of hardcoding the key. 🌐 Configure Video URL Replace the sample URL in the Set Input node with your desired public video URL. Ensure the video is directly accessible (no login or special permissions required). 📝 Optional: Customize the A
Convert 3-View Drawings to 360° Videos with GPT-4o-Image and Kling API
What this workflow does? This workflow converts orthographic three-view drawings into 360° rotation videos through PiAPI's GPT-4o-Image and Kling APIs (unofficial). The workflow could be set with our 3D Figurine Orthographic Views workflow for generation. Who is the workflow for? Designers**: Generate inspiration into 3D designs and make them spin to gain concrete details in a efficient way. Online shoppers**: Show protential products from all angles in videos and preview overall texture of models. Content Creators** (including toy bloggers): Make fun videos of collectible models. Step-by-step Instructions 1.Fill in basic params with your X-API-Key of your PiAPI account and 3-View image url. 2.Click test workflow. 3.Get the final video in the last node. Use Case Input Image Output Video
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.
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
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
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
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
Create Animated Stories using GPT-4o-mini, Midjourney, Kling and Creatomate API
What does the workflow do? This workflow is designed to generate high-quality short videos, primarily uses GPT-4o-mini (unofficial), Midjourney (unofficial) and Kling (unofficial) APIs from PiAPI and Creatomate API mainly for content creator, social media bloggers and short-form video creators. Through this short video workflow, users can quickly validate their creative ideas and focus more on enhancing the quality of their video concepts. Who is the workflow for? Social Media Influencers: produce content videos based on inspiration efficiently. Vloggers: generate vlogs based on inspiration. Educational Creators: explain specific topics via animated short videos or demonstrate a specific imagined scenario to students for enhanced educational impact. Advertising Agencies: generate short videos based on specific products. AI Tool Developers: automatically generate product demo videos. Step-by-step Instructions Fill in X-API-key of PiAPI account in Basic Params node. Fill in the scenario of the image and video prompt. Set a video template on Creatomate and make an API call in the final node with core and processing modules provided in Creatomate. Before full video generation, you can
3D Figurine Orthographic Views with Midjourney and GPT-4o-image API
What this workflow does? This workflow primarily uses the GPT-4o API from PiAPI and automatically creates front/side/top views of 3D models from commands. Who is this for？ 3D Designers： Quickly generate standardized orthographic views for design review E-commerce Operators： Create multi-angle product display images 3D Modeling Beginners： Instantly produce basic reference views Step-by-step Instruction Fill in X-API-Key of your PiAPI account and the image prompt based on your inspiration. Click Test workflow. Get the image url in the final node. OutPut
Generate Graphic Wallpaper with Midjourney, GPT-4o-mini and Canvas APIs
Who is the template for? This workflow is specifically designed for content creators and social media professionals, enabling Instagram and X (Twitter) influencers to produce highly artistic visual posts, empowering marketing teams to quickly generate event promotional graphics, assisting blog authors in creating featured images and illustrations, and helping knowledge-based creators transform key insights into easily shareable card visuals. Set up Instructions Fill in your API key from PiAPI. Fill in Basic Params Node following the sticky note guidelines. Set up a design template in Canvas Switchboard. Make a simple template in Switchboard. Click Crul and get the API code to fill in JSON of Design in Canvas. Click Test Workflow and get a url result. Use Case Here we will provide some setting examples to help users find a proper way to use this workflow. User could change these settings based on specific purposes. Basic Params Setting: theme: Hope scenario: Don't know about the future, confused and feel lost with tech-development. style: Cinematic Grandeur, Sci-Tech Aesthetic, 3D style example: 1. March. Because of your faith, it will happen. 2. Something in me will save me. 3. To
Create Animated Illustrations from Text Prompts with Midjourney and Kling API
What does the workflow do? This workflow is primarily designed to generate animated illustrations for content creators and social media professionals with Midjourney (unoffcial) and Kling (unofficial) API served by PiAPI. PiAPI is an API platform which provides professional API service. With service provided by PiAPI, users could generate a fantastic animated artwork simply using workflow on n8n without complex settings among various AI models. What is animated illustration? An animated illustration is a digitally enhanced artwork that combines traditional illustration styles with subtle, purposeful motion to enrich storytelling while preserving its original artistic essence. Who is this workflow for? Social Media Content Creators: Produces animated illustrations for social media posts. Digital Marketers: Generates marketing materials with motion graphics. Independent Content Producers: Creates animated content without specialized animation skills. Step-by-step Setting Instructions To simplify workflow settings, usually users just need to change basic prompt of the image and the motion of the final video following the instrution below: Sign in your PiAPI account and get your X-API-
General 3D Presentation Workflow with Midjourney, GPT-4o-image and Kling APIs
Who is this template for? This workflow creates 360° or 180° spinning videos of high-quality 3D models with PiAPI API. Good for: Designers**: Generate inspiration into 3D designs and make them spin to gain concrete details in a efficient way. Online shoppers**: Show protential products from all angles in videos and preview overall texture of models. Content Creators** (including toy bloggers): Make fun videos of collectible models. 3D beginners:** Get simple spinning animations easily and make fun with them in a convenient way. How to customize this workflow to your need？ To use this workflow, usually we need four steps: Fill in x-api-key in Mijdourney Generator node and Generate Kling Video node, fill in Header Parameters of GPT-4o Image Generator (e.g., Bearer + your X-API-Key) Enter your model prompt based on your inspiration. Click Test Workflow. Get the video URL in the last node. Use Case The prompt node concludes the main features of creations. An example for users' reference is listed as follow: Input Prompt A blind box character design, in the chibi style, a super cute little girl wearing a white long-sleeved dress and pearl earrings with her head bowed in a prayer pose, f
AI-Powered Gmail MCP Server
🤖 AI-Powered Gmail MCP Server for n8n Description This n8n workflow template leverages an external AI Model Control Plane (MCP) Server to automate various Gmail tasks, such as composing emails, replying to threads, and handling follow-ups using dynamically generated content. It uses the native n8n Gmail nodes available from v1.88.0 onwards. Who is this template for? Ideal for developers, automation engineers, and power users using self-hosted n8n (v1.88.0+) who want to integrate artificial intelligence directly into their email workflows via a dedicated MCP Server for enhanced control and customization over AI interactions. What problem does this workflow solve? ⚙️ Reduces Manual Effort: Decreases the work involved in writing, sending, and following up on emails in Gmail. ✅ Consistency and Quality: Ensures standardized, professional responses free from typos by leveraging controlled AI prompts. 🔄 Complete Automation: Automates the entire email cycle: from the initial send, through waiting for a reply, to sending automated follow-ups based on AI logic. Workflow Overview This template provides a structured approach to integrating Gmail with an MCP Server: 📡 MCP Trigger (“MCP_GMAIL
Gmail MCP Server – Your All‑in‑One AI Email Toolkit
Gmail MCP Server Expose Gmail’s full API as a single SSE “tool server” endpoint for your AI agents. What it does Spins up an MCP Trigger that streams Server‑Sent Events to LangChain/N8N AI Agent nodes. Maps 20+ common Gmail operations (search, send, reply, draft, label & thread management, mark read/unread, delete, etc.) to ai_tool connections, so agents can invoke them with a simple JSON payload. Why you’ll love it Agent‑ready: Plug the SSE URL into any N8N Agent or any other AI tool that uses MCP and start reasoning over email immediately. Extensible: Add more GmailTool operations or swap credentials without touching your agent logic. How to use Import the workflow (n8n ≥ v1.88). Set up a gmailOAuth2 credential and select it on the GmailTool nodes. Open the Gmail MCP Server node, copy the SSE URL, and paste it into your AI agent’s “Tool Server” field.
Get Scaleway Server Info with Dynamic Filtering
Get Scaleway Server Info with Dynamic Filtering Description This workflow is designed for developers, system administrators, and DevOps engineers who need to retrieve and filter Scaleway server information quickly and efficiently. It gathers data from Scaleway instances and baremetal servers across multiple zones and is ideal for: Quickly identifying servers by tags, names, public IPs, or zones. Automating server status checks in production, staging, or test environments. Integrating Scaleway data into broader monitoring or inventory systems. High-Level Steps Webhook Trigger:** Receives an HTTP POST request (with basic authentication) containing the search criteria (search_by and search). Server Data Collection:** Fetches server data from Scaleway’s API endpoints for both instances and baremetal servers across defined zones. Data Processing:** Aggregates and normalizes the fetched data using a Code node with helper functions. Dynamic Filtering:** Routes data to dedicated filtering routines (by tags, name, public_ip, or zone) based on the input criteria. Response:** Returns the filtered data (or an error message) via a webhook response. Set Up Steps Insert Your Scaleway Token: In th
Convert Text to Speech with Local KOKORO TTS
Disclaimer The Execute Command node is only supported on self-hosted (local) instances of n8n. Introduction KOKORO TTS - Kokoro TTS is a compact yet powerful text-to-speech model, currently available on Hugging Face and GitHub. Despite its modest size—trained on less than 100 hours of audio—it delivers impressive results, consistently topping the TTS leaderboard on Hugging Face. Unlike larger systems, Kokoro TTS offers the advantage of running locally, even on devices without GPUs, making it accessible for a wide range of users. Who will benefit from this integration? This will be useful for video bloggers, TikTokers, and it will also enable the creation of a free voice chat bot. Currently, TTS models are mostly paid, but this integration will allow for fully free voice generation. The possibilities are limited only by your imagination. Note Unfortunately, we can't interact with the KOKORO API via browser URL (GET/POST), but we can run a Python script through n8n and pass any variables to it. In the tutorial, the D drive is used, but you can rewrite this for any paths, including the C drive. Step 1 You need to have Python installed. link Also, download and extract the portable vers