Generate & auto-post AI videos to social media with Veo3 and Blotato
Automate video creation with Veo3 and auto-post to Instagram, TikTok via Blotato Who is this for? This template is ideal for content creators, social media managers, YouTubers, and digital marketers who want to generate high-quality videos daily using AI and distribute them effortlessly across multiple platforms. It’s perfect for anyone who wants to scale short-form content creation without video editing tools. What problem is this workflow solving? Creating and distributing consistent video content requires: Generating ideas Writing scripts and prompts Rendering videos Manually posting to platforms This workflow automates all of that. It transforms one prompt into a professional AI-generated video and publishes it automatically — saving time and increasing reach. What this workflow does Triggers daily to generate a new idea with OpenAI (or your custom prompt). Creates a video prompt formatted specifically for Google Veo3. Generates a cinematic video using the Veo3 API. Logs the video data into a Google Sheet. Retrieves the final video URL once Veo3 finishes rendering. Uploads the video to Blotato for publishing. Auto-posts the video to Instagram, TikTok, YouTube, Facebook, LinkedIn, Threads, Twitter (X), Pinterest, and Bluesky. Setup Add your OpenAI API key to the GPT-4.1 nodes. Connect your Veo3 API credentials in the video generation node. Link your Google Sheets account and use a sheet with columns: Prompt, Video URL, Status. Connect your Blotato API key and set your platform IDs in the Assign Social Media IDs node. Adjust the Schedule Trigger to your desired posting frequency. How to customize this workflow to your needs Edit the AI prompt to align with your niche (fitness, finance, education, etc.). Add your own branding overlays using JSON2Video or similar tools. Change platform selection by enabling/disabling specific HTTP Request nodes. Add a Telegram step to preview the video before auto-posting. Track performance by adding metrics columns in Google Sheets. 📄 Documentation: Notion Guide --- Need help customizing? Contact me for consulting and support : Linkedin / Youtube
By Dr. Firas🎓 Learn n8n expressions with an interactive step-by-step tutorial for beginners
How it works This template is an interactive, step-by-step tutorial designed to teach you the most important skill in n8n: using expressions to access and manipulate data. If you know what JSON is but aren't sure how to pull a specific piece of information from one node and use it in another, this workflow is for you. It starts with a single "Source Data" node that acts as our filing cabinet, and then walks you through a series of lessons, each demonstrating a new technique for retrieving and transforming that data. You will learn how to: Access a simple value from a previous node. Use n8n's built-in selectors like .last() and .first(). Get a specific item from a list (Array). Drill down into nested data (Objects). Combine these techniques to access data in an array of objects. Go beyond simple retrieval by using JavaScript functions to do math or change text. Inspect data with utility functions like Object.keys() and JSON.stringify(). Summarize data from multiple items using .all() and arrow functions. Set up steps Setup time: 0 minutes! This workflow is a self-contained tutorial and requires no setup or external credentials. Click "Execute Workflow" to run the entire tutorial. Follow the flow from the "Source Data" node to the "Final Exam" node. For each lesson, click on the node to see how its expressions are configured in the parameters panel. Read the detailed sticky note next to each lesson—it breaks down exactly how the expression works and why. By the end, you'll have the foundational knowledge to connect data and build powerful, dynamic workflows in n8n.
By Lucas Peyrin🚀 Boost your customer service with this WhatsApp Business bot!
This n8n workflow demonstrates how to automate customer interactions and appointment management via WhatsApp Business bot. After submitting a Google Form, the user receives a notification via WhatsApp. These notifications are sent via a template message. In case user sends a message to the bot, the text and user data is stored in Google Sheets. To reply back to the user, fill in the ReplyText column and change the Status to 'Ready'. In a few seconds n8n will fetch the unsent replies and deliver them one by one via WhatsApp Business node. Customize this workflow to fit your specific needs, connect different online services and enhance your customer communication! 🎉 Setup Instructions To get this workflow up and running, you'll need to: 👇 Create a WhatsApp template message on the Meta Business portal. <details></details> Obtain an Access Token and WhatsApp Business Account ID from the Meta Developers Portal. This is needed for the WhatsApp Business Node to send messages. Set up a WhatsApp Trigger node with App ID and App Secret from the Meta Developers Portal. Right after that copy the WhatsApp Trigger URL and add it as a Callback URL in the Meta Developers Portal. This trigger is needed to receive incoming messages and their status updates. Connect your Google Sheets account for data storage and management. Check out the documentation page. ⚠️ Important Notes WhatsApp allows automatic custom text messages only within 24 hours of the last user message. Outside with time frame only approved template messages can be sent. The workflow uses a Google Sheet to manage form submissions, incoming messages and prepare responses. You can replace these nodes and connect the WhatsApp bot with other systems.
By EduardAnalyze email headers for IP reputation and spoofing detection - Gmail
Analyze Emails for Security Insights Who is this for? This workflow is ideal for IT professionals, security analysts, and organizations looking to enhance their email security practices. It is particularly useful for those who need to analyze Gmail email headers for IP tracking, spoofing detection, and sender reputation assessment. What problem is this workflow solving? Email spoofing and phishing attacks are significant cybersecurity threats. By analyzing email headers, this workflow provides detailed insights into the email's origin, authentication status, and the reputation of the sending IP address. It helps detect potential spoofing attempts and assess the trustworthiness of incoming emails. What this workflow does This n8n workflow automates the process of analyzing email headers received in Gmail. It performs the following key functions: Triggering and Email Header Extraction: It monitors Gmail inboxes for new emails and extracts their headers for analysis. Authentication Analysis: It validates SPF, DKIM, and DMARC authentication results to ensure the email adheres to industry-standard security protocols. IP Analysis: The workflow extracts the originating IP address and evaluates its reputation and geographic details using external APIs. Reputation Scoring: It integrates with IP Quality Score to detect spam activity and assess the sender's reputation. Consolidation and Webhook Response: All results are aggregated into a single JSON response, making it easy to integrate with third-party platforms or tools for further automation. Setup Authenticate Gmail: Configure the Gmail Trigger node with your Gmail account credentials. API Keys (Optional): Obtain an API key for IP Quality Score (https://ipqualityscore.com). Ensure the IP-API endpoint is accessible. This step is optional as ipqualityscore.com will provide a limited number of free lookups each month. See more details here. Activate the Workflow: Ensure the workflow is active to process incoming emails in real-time. How to customize this workflow to your needs Add Alerts: Use the Gmail - Respond to Webhook node to trigger notifications in Slack, email, or any other communication channel. Integrate with SIEM: Forward the workflow output to SIEM tools like Splunk or ELK Stack for further analysis. Modify Validation Rules: Update SPF, DKIM, or DMARC logic in the Set nodes to align with your organization’s security policies. Expand IP Analysis: Add more APIs or services to enrich IP reputation data, such as VirusTotal or AbuseIPDB. --- This workflow provides a robust foundation for email security monitoring and can be tailored to fit your organization's unique requirements. With its modular design and integration options, it’s a versatile tool to enhance your cybersecurity operations.
By Angel MenendezSend bulk messages to chats in Telegram
The Telegram API has a limitation to send only 30 messages per second. Use this workflow to send messages to more than 30 chats in Telegram.
By Harshil AgrawalCreate structured eBooks in minutes with Google Gemini Flash 2.0 to Google Docs
This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Description This workflow automates the creation of structured eBooks by generating chapters, table of contents, and content using Google Gemini Flash 2.0. Overview This n8n workflow allows users to input a topic or outline, which is then processed by Google Gemini Flash 2.0 to generate chapter titles, structured table of contents, and detailed section-wise content. The final output is formatted and exported into a Google Document, ready for review and further publishing. Who This Workflow Is For Authors & Writers Save time by auto-generating chapter ideas, summaries, and full-length content based on a topic or outline—great for fiction and nonfiction alike. Content Marketers Rapidly create downloadable eBooks, whitepapers, or lead magnets for campaigns without relying on long production cycles. Educators & Course Creators Convert your syllabus, course modules, or learning outcomes into structured, well-formatted educational eBooks. Agencies & Freelancers Offer AI-powered eBook creation as a value-added service to clients in need of fast, professional content. Entrepreneurs & Coaches Turn your knowledge, frameworks, or training material into publish-ready books to promote your brand or monetize content. Technical Writers & Documentarians Generate structured documentation or guides from outlines, simplifying the technical writing process with the help of AI. Tools Used n8n: Orchestrates input handling, AI processing, formatting, and export. Google Gemini Flash 2.0: Generates high-quality, structured content, including chapters, summaries, and body text. Google Docs: Used to compile and format the full eBook in a collaborative document. Google Drive / Email: Optional nodes for storing or delivering the final output. How to Install Import the Workflow: Download and import the .json file into your n8n instance. Configure Gemini Flash 2.0: Add your API key and set the desired creativity, length, and tone options. Provide Input: Use a webhook or manual trigger to define the eBook topic or structure. Customize Format: Modify prompts or Gemini instructions to match your eBook format, voice, or domain (e.g., fiction, business, technical). Export to Google Docs: Authenticate and configure the Google Docs node to write the output chapter-wise into a new or existing document. Optional Distribution: Connect to Google Drive or Gmail to store or send the final eBook. Use Cases Writers & Authors: Quickly draft entire eBooks based on minimal input. Marketers: Generate lead magnets, guides, and product documentation at scale. Educators: Produce structured learning materials or course eBooks. Agencies: Offer eBook creation services powered by AI. Entrepreneurs: Turn knowledge into content assets without hiring ghostwriters. Connect with Me Email: ranjancse@gmail.com LinkedIn: https://www.linkedin.com/in/ranjan-dailata/ Get Bright Data: Bright Data (Supports free workflows with a small commission) n8n automation ebookcreation googleai geminiflash aiwriting gdocs contentautomation ebookworkflow nocode contentmarketing gemini aiwriter automatedpublishing aicontent bookcreation geminiworkflow ebookgenerator gptalternative flash20 geminiflash2 authorautomation educationalcontent aiinmarketing n8nworkflow
By Ranjan DailataAutomate Figma versioning and Jira updates with n8n webhook integration
How It Works: This n8n template automates the process of tracking design changes in Figma and updating relevant Jira issues. The template is triggered when a new version is created in Figma via a custom plugin. Once the version is committed, the plugin sends the design details to an n8n workflow using a webhook. The workflow then performs the following actions: Fetches the Jira issue based on the provided issue link from Figma. Adds the design changes as a comment to the Jira issue. Updates the status of the Jira issue based on the provided task status (e.g., "In Progress", "Done"). This streamlines the workflow, reducing the need for manual updates and ensuring that both the design team and developers have the latest design changes and task statuses in sync. How to Use It: Set up the Figma Plugin: Install the Figma Commit Plugin from GitHub. In the plugin, fill out the version name, design link, Jira issue link, and the task status. Commit the changes in Figma, which will trigger the webhook. Set Up the n8n Workflow: Import this template into your n8n instance. Connect the Figma Trigger node to capture version updates from Figma. Configure the Jira nodes to retrieve the issue and update the status/comment based on the data sent from the plugin. Automate: Once the version is committed in Figma, the workflow will automatically update the Jira issue and keep both your Figma design and Jira tasks in sync! By integrating Figma, Jira, and n8n through this template, you’ll eliminate manual steps, making collaboration between design and development teams more efficient.
By omid devMonday.com useful utilities
This template is a set of building blocks to access Monday.com in ways not supported by the official Monday node. Prerequisites Monday account and Monday credentials. Included are setups to: Find a column value by the column's name (instead of a numerical index which can change when board structure is changed) Find a column value by the column's ID (again, instead of using a numerical index) Pull a board relation column, and get all the related pulses Pull an items subitems and split them out Upload a file to an item's files field Setup Create a Monday.com credential Update the nodes in the template to use your credential Copy/Paste the nodes you need from this template into any other workflow To retreive a column by name: Route a Monday.com node that gets an item to the COLUMN BY NAME node Edit the COLUMN BY NAME node, and enter the name in the first line of code. To retreive a column by its ID: Follow Monday.com's instructions to locate the column's ID Route a Monday.com node that gets an item to the COLUMN BY ID node -Edit the COLUMN BY ID node, and enter the ID in the first line of code. To retreive all linked pulses from a Board Relation column: Route a Monday.com node that gets an item to the GET BOARD RELATION node Edit the GET BOARD RELATION node to specify the column name. All linked pulses will be retrieved by the subsequent PULL LINKEDPULSE node To pull all subitems from an item: Route a Monday.com node that gets an item to the PULL SUBITEMS node All subitems will be retrieved by the subsequent GET EACH SUBITEM node To upload a File: Repalce the Convert to File node with whatever node you are using to output your binary file data Enable the MONDAY UPLOAD node If the destination column is named anything other then the default of "file" - edit the MONDAY UPLOAD node and change column_id:"file" in the first Value field to match the name of your file column
By Joey D’AnnaError handling: Send email via Gmail on execution or trigger-level errors
This error handling workflow emails detailed notifications on workflow execution and trigger errors. It extends Send email via Gmail on workflow error template by covering trigger-level errors. --- Features Get notifications on both main workflow trigger and execution time errors. Subject line will have failed workflow id, name, error source (execution or trigger), error message. Body will contain links to both failed and error handling workflows as well as execution or trigger-level error details. Body will also contain a machine readable and enriched JSON from Error Trigger describing the error. Use this error handling workflow for as many workflows as you need. --- Configiration Copy this workflow to your workspace and, optionally, move it under the project that contains your main workflow In this error handling workflow settings, set This workflow can be called by as appropriate In Config node, define your app url, notifications recipient email, and sender name (useful to build filters in your inbox) In Gmail node, create and select credentials In your main workflow settings, pick this error handling workflow in the Error Workflow field (How to...) --- Related resources n8n Error Trigger documentation. --- Author Reach out Olek on community.n8n.io Olek on n8n creators hub
By OlekGet the last five SpaceX launches from the spacex.land API using GraphQL
Companion workflow for GraphQL node docs
By amudhanGet multiple clients' data from Invoice Ninja
Companion workflow for Invoice Ninja node docs
By amudhanMulti-LLM customer support chatbot for WordPress & webhook integrations
AI Chat Bot workflow for WordPress & Webhook Live Chats This workflow powers a versatile AI chatbot that can be integrated into any live chat interface, such as our free Forerunner™ AI Chat Bot for WordPress. It's designed to automate customer support and lead generation by handling a variety of user queries independently. The setup process is straightforward and typically takes less than five minutes. This involves connecting your preferred Large Language Model (LLM) and a live chat platform to the workflow via webhooks. How the Workflow Works The core of this workflow is an AI Agent that acts as the brain of the chatbot. It processes user input and generates responses based on predefined rules and your chosen language model. User Input: When a user sends a message through your live chat, it's sent to the workflow via a webhook. This message is then passed to the AI Agent for processing. AI Response Generation: The AI Agent analyzes the message, retrieves relevant conversational history from the Simple Memory node to maintain context, and uses the selected Large Language Model (e.g., OpenAI, Gemini, or Claude) to formulate a response. Conditional Logic: After the response is generated, the workflow uses an If node to check if the conversation should end. If the response contains the specific tag [ENDOFCONVERSATION], the workflow prepares to end the chat. Otherwise, the conversation continues. Send to Client: The final response is then sent back to the live chat interface, where it is displayed to the user. This completes the loop, allowing the chatbot to engage in a continuous conversation until the task is complete.
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