Workflow Templates

AI Product Photography With Nano Banana and Jotform 📸✨ Automate your product visuals! This n8n workflow instantly processes new product photography requests from Jotform or Google Sheets, uses an AI agent (Gemini Nano Banana) to generate professional AI product photography based on your product details and reference images, saves the final image to Google Drive, and updates the photo link in your Google Sheet for seamless record keeping. How it Works This n8n workflow operates as a fully automated pipeline for generating and managing AI product photographs: Trigger: The workflow is triggered either manually, on a set schedule (e.g., hourly), or immediately upon a new submission from the connected Jotform (or when new "Pending" rows are detected in the Google Sheet on a scheduled or manual run). Data Retrieval: If triggered by a schedule or manually, the workflow fetches new rows with a "Status" of "Pending" from the designated Google Sheet. Data Preparation: The input data (Product Name, Description, Requirements, and URLs for the Product and Reference Images) is prepared. The Product and Reference Images are downloaded using HTTP Requests. AI Analysis & Prompt Generation: An AI agent (using the Gemini model) analyzes the product details and image requirements, then generates a refined, professional prompt for the image generation model. AI Photo Generation: The generated prompt, along with the downloaded product and reference images, is sent to the image generation model, referred to as "Gemini Nano Banana" (a powerful Google AI model for image generation), to create the final, high-quality AI product photograph. File Handling: The raw image data is converted into a binary file format. Storage: The generated photograph is saved with the Product Name as the filename to your specified Google Drive folder. Record Update: The workflow updates the original row in the Google Sheet, changing the "Status" to "Completed" and adding the public URL of the newly saved image in the "Generated Image" column. If the trigger was from Jotform, a new record is appended to the Google Sheet. Requirements To use this workflow, you'll need the following accounts and credentials configured in n8n: n8n Account:** Your self-hosted or cloud n8n instance. Google Sheets/Drive Credentials:* An *OAuth2* or *API Key** credential for the Google Sheets and Google Drive nodes to read input and save the generated image. Google Gemini API Key:* An API key for the Google Gemini nodes to access the AI agent for prompt generation and the image generation service (Gemini Nano Banana*). Jotform Credential (Optional):* A Jotform credential is only required if you want to use the Jotform Webhook trigger. *Sign up for Jotform here:** https://www.jotform.com/?partner=zainurrehman A Google Sheet and Jotform:** with columns/fields for: Product Name, Product Description, Product Image (URL), Requirement, Reference Image 1 (URL), Reference Image 2 (URL), Status, and a blank Generated Image column. How to Use 1. Set Up Your Integrations Add the necessary Credentials (Google Sheets, Google Drive, Gemini API, and optionally Jotform) in your n8n settings. Specify the Google Sheet Document ID and Sheet Name in the Google Sheet nodes. In the Upload to Drive node, select your desired Drive ID and Folder ID where the final images should be saved. 2. Prepare Input Data You can start the workflow either by: Submitting a Form:* Fill out and submit the connected *Jotform** with the product details and image links. Adding to a Sheet:* Manually add a new row to your Google Sheet with all the product and image details, ensuring the *Status* is set to *"Pending"**. 3. Run the Workflow For Jotform Trigger:* Once the workflow is *Active**, a Jotform submission will automatically start the process. For Scheduled/Manual Trigger:* Activate the *Schedule Trigger* for automatic runs (e.g., hourly), or click the *Manual Trigger* node and select *"Execute Workflow"** to process all current "Pending" requests in the Google Sheet. The generated photograph will be uploaded to Google Drive, and its link will be automatically recorded in the "Generated Image" column in your Google Sheet.

Transform Viral Instagram Reels into Original Scripts with AI, Perplexity & Apify

by Neal Mcleod

💬Communication & Collaboration

How it works Please guys, stop staring at a blank page. This workflow turns viral Instagram trends into original scripts for your channel automatically. Scrapes Trends:** Finds viral reels in your niche using Apify. Transcribes:** Downloads the video and converts the audio to text. Researches:** Uses Perplexity to find facts and add depth to the topic. Writes:** Generates a fresh, unique script based on the viral structure using AI. Saves:** meaningful content directly to your Google Sheet, ready for filming. Set up steps Apify:** You need an account to run the Instagram scraper. API Keys:** Have your OpenAI (for writing/transcription) and Perplexity (for research) keys ready. Google Sheet:** Create a sheet with headers for URL, Transcript, and Final Script. Credentials:** Enter your keys into the node credentials in n8n. Test:** Start with a low limit (e.g., 1-2 items) to verify the flow. Who is this for? Content Creators:** Beat writer's block and post more consistently. Social Media Managers:** Scale research without hiring a team. Agencies:** Rapidly repurpose trends for multiple clients.

3 nodes

YouTube Video Summarizer with Gemini AI to WhatsApp, Telegram & Google Sheets

by Yashraj singh sisodiya

Summarize YouTube Videos with Gemini AI, Google Sheets & WhatsApp/Telegram Aim The aim of the YouTube Video Summarizer Workflow is to automate the process of summarizing or extracting transcripts from YouTube videos with the help of Gemini AI, while optionally storing results and distributing them to users via WhatsApp, Telegram, or Google Sheets. This enables fast, consistent generation and sharing of English summaries or transcripts from public YouTube content. Goal The goal is to: Allow users to submit a YouTube link through various channels (Form Webhook, WhatsApp, Telegram). Use Gemini AI to either summarize the content or transcribe the complete video, always outputting in English. Return the output to the user via their original channel and optionally log it to Google Sheets for record-keeping. Requirements The workflow relies on specific integrations and configurations: n8n Platform**: Self-hosted or cloud n8n instance to host and automate the workflow. Node Requirements**: Form/Webhook Trigger: Web form for pasting the YouTube link. WhatsApp Trigger: Starts workflow from incoming WhatsApp messages (YouTube link as input). Telegram Trigger: Initiates workflow from Telegram chat messages containing YouTube links. Gemini AI Node: Consumes the YouTube link and processes it for summarization or transcription (always in English). Google Sheets Node: Writes the result (summary/transcript) into a Google Sheet for logging and future reference. WhatsApp/Telgram Send Message Nodes: Delivers summarized results or transcripts back to the user on the same platform where they triggered the workflow. Credentials**: Gemini/Google AI Platform account for AI summarization and transcription. Google Sheets account for storing output. WhatsApp Business API for WhatsApp automation. Telegram Bot API for Telegram automation. Input Requirements**: Publicly-accessible YouTube video link (max ~30 min, as per summarized logic). Output**: English video summary or full transcript, delivered via user’s requested channel and/or stored in Google Sheets. API Usage The workflow integrates several APIs for optimal automation: Gemini AI API**: Used in the main summarization node. Receives the YouTube link and a prompt with detailed instructions. Returns either a clear, concise English summary or a full transcript translated into English, handling Hindi, English, or mixed-language videos. [Ref: Workflow JSON] Google Sheets API**: Used to log the output for each processed video, making it easy to reference histories or track requests. [Ref: Workflow JSON] WhatsApp Business API**: Sends back the summary or transcript to the user who initiated via WhatsApp. [Ref: Workflow JSON] Telegram Bot API**: Sends results back to Telegram users directly in chat. [Ref: Workflow JSON] Output Formatting/Conversion The AI output is always in English, tailored to the option chosen (summary vs transcript). Structured output: Bulleted, neutral, and easy to read, suitable for sharing with users or for business documentation. Google Sheets node maps and writes each video’s results to a dedicated row for easy history review. How to Use By default, the workflow uses a manual trigger via a web form, but you may add triggers for WhatsApp or Telegram to suit your needs. Users paste a YouTube link, then select whether they want a summary or transcript (based on your implementation logic). Results are returned in their channel and optionally logged to your Google Sheet. All processing is handled securely using your Gemini API credentials. You can expand this logic by adding more integrations (email, Slack, etc.). Customising this Workflow Custom prompts can be written for different styles or output formats (e.g., SEO key points, step-by-step guides). Add logic for batch processing multiple videos or bulk export to different cloud drives. Integrate into central dashboards, CRMs, or content pipelines using n8n’s hundreds of available integrations. Good to Know Gemini pricing:** At the time of writing, each YouTube video summarization costs $0.039 USD. See official Gemini Pricing for current rates. Geo-restriction:** The Gemini video model may be geo-restricted (error: “model not found” outside some regions). Video Limits:** Intended for videos up to ~30 minutes for best processing reliability. Scaling:** Can be easily adapted for high-volume operations using n8n’s queue and scheduling features. Workflow Summary The YouTube Video Summarizer Workflow automates summarizing and transcribing YouTube videos using AI and n8n. Users send video links via web forms, WhatsApp, or Telegram. Results are generated via Gemini, sent back in-app, and logged to Google Sheets, enabling effortless knowledge sharing and organizational automation at scale. Timestamp: 12:37 PM IST, Wednesday, September 17, 2025

Write Personalised Direct Messages for Instagram with Apify, OpenAI, GSheets

by Michael Muenzer

💬Communication & Collaboration

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Fetch Instagram profile information with Apify and generate personalized DMs in Google Sheets. This is great for creator outreach, customer interviews, partnership prospecting, and streamlining your social Direct Messaging workflow. Saving hours per campaign or research study. How it works We read a list of Instagram accounts from a Google Sheet We trigger the Apify Instagram Post Scraper task to fetch the latest post data per account We pull the image URL of the newest post and analyze it with OpenAI Vision We use the analysis plus account metadata to generate a personalized DM We write the message back to the Google Sheet for easy sending and tracking Note: Both Apify and OpenAI provide free credits that can cover initial runs of this workflow (20.08.2025). Set up steps Copy Google Sheet template and add it in all Google Sheet nodes Make sure that n8n has read & write permissions for your Google sheet. Add your list of Instagram accounts in the first column in the Google sheet Add Apify credentials (e.g. API key) Create task for Instagram Post Scraper on Apify Add OpenAI API credentials What you can achieve How do I scale creator outreach while keeping messages personal? This workflow pulls each profile’s latest post and bio, then generates a DM that references those specifics. One consistent prompt, fresh data per profile. Personal at scale. How do I craft partnership or affiliate pitches that feel tailored to the creator’s audience? This n8n workflow spots niche, recent themes, and milestones, then inserts a targeted value prop like an affiliate code or UTM so the pitch mirrors their content and audience. How can I personalize interview invites using details from a recent post or bio? This workflow opens with a concrete reference from the newest post or bio, states your interview topic, and adds a short CTA. If there’s no recent post, it switches to a bio-based hook. How do I personalize at scale for thousands of profiles without duplicating outreach? This n8n workflow processes each handle once, logs status in Google Sheets, and skips already‑messaged rows, so you get unique, data-backed DMs across hundreds of profiles without repeats.

3 nodes1 views

Deal Stage Tracking Automation with HighLevel CRM, ClickUp, and Slack

by Rahul Joshi

Description This workflow automates the tracking of deal stage updates in HighLevel CRM and syncs them with ClickUp for task management. It filters opportunities based on the most recent update date, creates actionable tasks in ClickUp for recent deals, and sends Slack alerts when older deal updates are detected. This ensures that your sales and operations teams stay aligned, reducing manual tracking and improving visibility of pipeline activity. What This Template Does (Step-by-Step) 📋 Fetch All Deals from HighLevel CRM Pulls a complete list of opportunities with contact details and deal stages. ⏱ Filter Recent Deal Updates Checks if a deal was updated on/after a specific date (e.g., Sept 30, 2025). 🔀 Route Deals via If Node ✅ Recent Updates → Proceed to get contact details & create a task in ClickUp. ❌ Older Updates → Trigger a Slack notification for awareness. 👤 Get Contact Information Retrieves full contact details (name, location ID, etc.) from HighLevel for better context in tasks. 🗂 Create ClickUp Task Generates a new ClickUp task containing deal and contact information, ensuring your team has actionable follow-up tasks. 💬 Send Slack Notification Notifies a specified Slack user when a deal update is older than the defined threshold, highlighting deals that may need attention. Prerequisites HighLevel CRM account & API credentials ClickUp account & API credentials Slack workspace & API credentials n8n instance (cloud or self-hosted) Step-by-Step Setup Connect HighLevel CRM → Fetch all opportunities. Apply Date Filter (If Node) → Split deals into recent vs. old updates. Recent Deals → Fetch contact details → Create task in ClickUp. Old Deals → Send Slack notification to assigned user. Customization Ideas 🎯 Adjust the date threshold for “recent updates.” 📢 Add Slack/Teams alerts for new deals as well. 📚 Sync ClickUp tasks into Notion or Airtable for reporting. 💡 Enrich ClickUp tasks with deal value, stage, or assigned salesperson. Key Benefits ✅ Keeps deal updates transparent and organized ✅ Ensures no recent deal activity is missed ✅ Automates ClickUp task creation for sales follow-ups ✅ Sends real-time Slack alerts for old updates ✅ 100% automated, customizable workflow Perfect For 👥 Sales teams managing multiple deals daily 🏢 Companies using HighLevel CRM & ClickUp 🎯 Teams wanting instant visibility into pipeline changes 📊 Managers tracking deal activity timelines

⚙️Business Automation

3 nodes

Automate Instagram Stories Publishing from Google Sheets with Meta Graph API

by iMan

💬Communication & Collaboration

Automated Instagram Stories from Google Sheets 🚀 What it Does This workflow automates posting Instagram Stories directly from a list of video URLs in a Google Sheet. Simply add a video link to the sheet, and this template will schedule and post it for you. It's designed to be a "set it and forget it" solution for your content strategy. Key Features: Fully Automated: Runs on a schedule to post new content without manual intervention. Simple Content Management: Manage your entire video queue from one Google Sheet. Smart & Safe: Automatically avoids posting duplicate content by tracking what has already been published. Randomized Posting: Shuffles the video list to ensure varied content is posted, not just the first one on the list. 📋 Pre-Setup Requirements Before you start, you'll need a few things. This is the most important part of the setup\! Instagram Business Account: A personal account won't work. It must be a Business or Creator account. Facebook Page: Your Instagram Business Account must be connected to a Facebook Page. Meta Developer Account: This is required to create an "App" that gives n8n permission to post on your behalf. A Publicly Accessible Place to Host Videos: This is critical. The video URLs you use must be direct links to the video file. ✅ Good Sources: Shopify file storage, Amazon S3, a WordPress site with a valid SSL certificate (https://...). ❌ Unreliable Sources: Google Drive and Dropbox share links will not work because they are not direct links to the video file itself. ⚙️ Step-by-Step Setup Guide Follow these three parts carefully. Once done, you won't have to touch the configuration again. Part 1: Meta (Facebook/Instagram) Configuration This section generates the keys and IDs you need to allow n8n to communicate with Instagram. Create a Meta App: Go to Meta for Developers and create a new app. Detailed Guide: Meta's Official Guide to Creating an App Configure App Permissions: In your new app's dashboard, add the "Instagram Graph API" product. Under "Permissions," you will need to grant instagram_basic, instagram_content_publish, pages_show_list, and pages_read_engagement. Find Your Instagram Business Account ID: You'll need this ID for the workflow. 3.1. Log in: to your Instagram account. 3.2. Click on your Profile: in the menu on the left. 3.3. Click: "Edit Profile" at the top. 3.4. Under the "Settings" heading, click "See more in Accounts Center". 3.5. Select: your intended Instagram profile. 3.6. In the URL, your Instagram Business Account ID will be displayed after /profiles in a numerical format. Example: https://accountscenter.instagram.com/profiles/[YOUR_ID]/?theme=dark Generate a Long-Lived Access Token: An access token is like a password for n8n to use. A standard one expires quickly, so you need a long-lived one. Official Guide: Meta's Guide to Generating a Long-Lived Token Part 2: Google Sheet Preparation This is where you'll manage your video content. Create a Google Sheet: You can make a new one or use our template to get started quickly. Download Template: Instagram Videos Template.xlsx Set Up Columns: Your sheet must have these two columns with these exact names: source_url: This is where you will paste the direct URL to your video file. posted_story: Leave this column empty. The workflow will automatically fill it with true after a video is successfully posted. Get the Sheet ID: In your Google Sheet URL, copy the long string of letters and numbers from the middle: https://docs.google.com/spreadsheets/d/[THIS_IS_THE_SHEET_ID]/edit Part 3: n8n Workflow Configuration Now, let's connect everything inside your n8n workflow. Fill the ⚙️ Configuration Hub Node: IG\_BUSINESS\_ID: Paste the Instagram ID you found in Part 1. SHEET\_DOC\_ID: Paste the Google Sheet ID you found in Part 2. SHEET\_TAB\_NAME: Enter the exact name of the tab in your Google Sheet (e.g., "Instagram Videos"). Connect Your Credentials: Google Sheets: In the 📊 Fetch Videos from Sheet node, create a new credential and connect your Google Account. Facebook Graph API: In the 📤 Create Story Container node, create a new credential. Use the App ID, App Secret, and the Long-Lived Access Token you generated in Part 1. You will use this same credential for the other Facebook/Instagram nodes. Activate the Workflow: First, test it by clicking the "Execute Workflow" button on the 🚀 Manual Start node. Once you confirm it works, activate the workflow using the toggle at the top of the screen. The ⏰ Auto Schedule node is set to run daily by default, but you can change the time to whatever you like. 🤔 Troubleshooting Error: "(\#10) This endpoint requires the 'instagram\_content\_publish' permission": Your Meta App is missing the correct permissions. Go back to the app settings in the Meta Developer dashboard and add it. Error: "Unsupported post request" or Video Processing Fails: This is almost always an issue with the video URL. Ensure it's a direct link and not from a service like Google Drive. Paste the URL into your browser—it should immediately start playing the video, not take you to a preview page. Error: "Sheet not found": Double-check that your SHEET_DOC_ID and SHEET_TAB_NAME in the Config node are perfectly correct (it's case-sensitive\!). Workflow runs but doesn't post: Make sure you have rows in your Google Sheet where the posted_story column is empty. If all are marked true, it has nothing new to post. @iMan https://imanetworks.ch/

3 nodes

Monitor & Manage Docker Containers with Telegram Bot & AI Log Analysis

by Malte Sohns

Monitor and manage Docker containers from Telegram with AI log analysis This workflow gives you a smart Telegram command center for your homelab. It lets you monitor Docker containers, get alerts the moment something fails, view logs, and restart services remotely. When you request logs, they're automatically analyzed by an LLM so you get a clear, structured breakdown instead of raw terminal output. Who it's for Anyone running a self-hosted environment who wants quick visibility and control without SSHing into a server. Perfect for homelab enthusiasts, self-hosters, and DevOps folks who want a lightweight on-call assistant. What it does Receives container heartbeat alerts via webhook Sends Telegram notifications for status changes or failures Lets you request logs or restart services from chat Analyzes logs with GPT and summarizes them clearly Supports manual “status” and “update all containers” commands Requirements Telegram Bot API credentials SSH access to your Docker host How to set it up Create a Telegram bot and add its token as credentials Enter your server SSH credentials in the SSH node Deploy the workflow and set your webhook endpoint Tailor container names or heartbeat logic to your environment Customize it Swap SSH commands for Kubernetes if you're on k8s Change the AI model to another provider Extend with health checks or auto-healing logic

Auto Send Thank-You Messages & Loyalty Coupons via WhatsApp from Shopify using Rapiwa

by SpaGreen Creative

Shopify Auto Send WhatsApp Thank-You Messages & Loyalty Coupon Using Rapiwa API Who is this for? This workflow is for Shopify store owners, marketers, and support teams who want to automatically message their high-value customers on WhatsApp when new discount codes are created. What this workflow does Fetches customer data from Shopify Filters customers where total_spent > 5000 Cleans phone numbers (removes non-digit characters) and normalizes them to an international format Verifies numbers via the Rapiwa API (verify-whatsapp endpoint) Sends coupon or thank-you messages to verified numbers via the Rapiwa send-message endpoint Logs each send attempt to Google Sheets with status and validity Uses batching (SplitInBatches) and Wait nodes to avoid rate limits Key features Automated trigger: Shopify webhook (discounts/create) or manual trigger Targeted sending to high-value customers Pre-send verification to reduce failed sends Google Sheets logging and status updates Rate-limit protection using Wait node #How to use? Step-by-step setup 1) Prepare a Google Sheet Columns: name, number, status, validity, check (optional) Example row: Abdul Mannan | 8801322827799 | not sent | unverified | check 2) Configure n8n credentials Shopify: store access token (X-Shopify-Access-Token) Rapiwa: Bearer token (HTTP Bearer credential) Google Sheets: OAuth2 credentials and sheet access 3) Configure the nodes Webhook/Trigger: Shopify discounts/create or Manual Trigger HTTP Request (Shopify): /admin/api/<version>/customers.json Code node: filter customers total_spent > 5000 and map fields SplitInBatches: batching/looping Code (clean number): waNoStr.replace(/\D/g, "") HTTP Request (Rapiwa verify): POST https://app.rapiwa.com/api/verify-whatsapp body { number } IF node: check data.exists to decide branch HTTP Request (Rapiwa send-message): POST https://app.rapiwa.com/api/send-message body { number, message_type, message } Google Sheets Append/Update: write status and validity Wait: add 2–5 seconds delay between sends 4) Test with a small batch Run manually with 2–5 records first and verify results Google Sheet column structure A Google Sheet formatted like this ➤ Sample | Name | Number | Status | Validity | | -------------- | ------------- | -------- | ---------- | | Abdul Mannan | 8801322827798 | not sent | unverified | | Abdul Mannan | 8801322827799 | sent | verified | Requirements Shopify Admin API access (store access token) Rapiwa account and Bearer token Google account and Google Sheet (OAuth2 setup) n8n instance (nodes used: HTTP Request, Code, SplitInBatches, IF, Google Sheets, Wait) Customization ideas Adjust the filter (e.g., order count, customer tags) Use message templates to insert name and coupon code per customer Add an SMS or email fallback for unverified numbers Send a run summary to admin (Slack / email) Store logs in a database for deeper analysis Important notes data.exists may be a boolean or a string — normalize it in a Code node before using in an IF node Ensure Google Sheets column names match exactly Store Rapiwa and Shopify tokens securely in n8n credentials Start with small batches for testing and scale gradually Useful Links Dashboard:** https://app.rapiwa.com Official Website:** https://rapiwa.com Documentation:** https://docs.rapiwa.com Support & Help WhatsApp**: Chat on WhatsApp Discord**: SpaGreen Community Facebook Group**: SpaGreen Support Website**: https://spagreen.net Developer Portfolio**: Codecanyon SpaGreen

Inserting Brevo Contact Reports into NocoDB

by Nima Salimi

Overview This n8n workflow automatically retrieves Brevo contact reports and inserts summarized engagement data into NocoDB. It groups campaign activity by email, creating a clean, unified record that includes sent, delivered, opened, clicked, and blacklisted events. This setup keeps your CRM or marketing database synchronized with the latest Brevo email performance data. ✅ Tasks ⏰ Runs automatically on schedule or manually 🌐 Fetches contact activity data from Brevo API 🧩 Groups all campaign activity per email 💾 Inserts summarized data into NocoDB ⚙️ Keeps engagement metrics synced between Brevo and NocoDB 🛠 How to Use 🧱 Prepare your NocoDB table Create a table with fields for: email, messagesSent, delivered, opened, clicked, done, and blacklisted. 🔑 Connect your Brevo credentials Add your Brevo API Key in the HTTP Request node to fetch contact data securely. 🧮 Review the Code Nodes These nodes group contact activity by email and prepare a single dataset for insertion. 🚀 Run or schedule the workflow Execute it manually or use a Schedule Trigger to automate the data sync process. 📌 Notes 🗂 Make sure the field names in NocoDB match those used in the workflow. 🔐 Keep your Brevo API Key secure and private. ⚙️ The workflow can be expanded to include additional fields or filters. 📊 Use the data for engagement analytics, segmentation, or campaign performance tracking.

Create & Publish YouTube Shorts on Historical What-Ifs with GPT-4o & Blotato

by Marth

Workflow Description: Automated YouTube Short Viral History (Blotato + GPT-4.1) This workflow is a powerful, self-sustaining end-to-end content automation pipeline designed to feed your YouTube Shorts channel with consistent, high-quality, and highly engaging videos focused on "What if history..." scenarios. This solution completely eliminates manual intervention across the creative, production, and publishing stages. It expertly links the creative power of a GPT-4o AI Agent with the video rendering capabilities of the Blotato API, all orchestrated by n8n. How It Works The automation runs through a five-step, scheduled process: Trigger and Idea Generation: The Schedule Trigger starts the workflow (default is 10:00 AM daily). The AI Agent (GPT-4o) acts as a copywriter/researcher, automatically brainstorming a random "What if history..." topic, researching relevant facts, and formulating a viral, hook-driven 60-second video script, along with a title and caption. Visual Production Request: The formatted script is sent to the Blotato API via the Create Video node. Blotato begins rendering the text-to-video short based on the pre-set style parameters (cinematic style, specific voice ID, and AI models). Status Check and Wait: The Wait node pauses the workflow, and the Get Video node continually checks the Blotato system until the video rendering status is confirmed as done. Media Upload: The completed video file is uploaded to the Blotato media library using an HTTP Request node, preparing it for publishing. Automated Publishing: The final YT Post node (another HTTP Request to the Blotato API) automatically publishes the video to your linked YouTube channel, using the video URL and the AI-generated title and short caption. Set Up Steps To activate and personalize this powerful content pipeline in n8n, follow these steps: OpenAI Credential: Ensure your OpenAI API key credential is created and connected to the Brainstorm Idea node (Language Model). The workflow uses GPT-4o by default. Blotato API Key: Obtain your Blotato API Key. Open the Prepare Video node and manually insert your Blotato API Key into the blotato_api_key field. YouTube Account ID: Find the Account ID (or Channel ID) for the YouTube channel you want to post to. Open the Prepare for Publish node and manually insert your YouTube Account ID into the youtube_id field. Customize Video Style (Optional): If desired, adjust the visual aesthetic by modifying parameters in the Prepare Video node, such as: voiceId: To change the video narrator. style: To change the visual theme (e.g., from cinematic to documentary). text_to_image_model and image_to_video_model: To change the underlying AI generation models. Activate Workflow: Save the workflow and toggle the main switch to Active. The first video will be created and published on the next scheduled run.

Automate Data Extraction with Zyte AI (Products, Jobs, Articles & More)

by Zyte