Workflow Templates

Tags: ESL, English Learning, Podcasts, RSS, AI Exercises, ElevenLabs Context Hi! I’m Samir, Supply Chain Engineer and Data Scientist based in Paris, and founder of the startup LogiGreen. I created this workflow for my mother, who is currently learning English, to turn the BBC 6 Minute English podcast into ready-to-use English lessons. The lesson includes vocabulary, exercises and discussion questions along with links to access the podcast content (audio and transcript). > Use this assistant to automatically share English lessons from a renowned podcast. 📬 For business inquiries, you can find me on LinkedIn Who is this template for? This template is designed for: ESL teachers** who want a fresh, structured lesson every week from real-life audio Independent learners** who want a guided way to study English with podcasts Language schools or content creators** who send regular English lessons by email What does this workflow do? This workflow acts as an AI-powered English lesson generator from podcast episodes. Runs every Sunday at 20:00 using a Schedule Trigger and reads the BBC 6 Minute English RSS feed Checks a Data Table of archived episodes and filters out those already sent (using their guid) Keeps the latest unsent episode and loads its web page content via HTTP Parses the HTML in a Code node to extract the episode description, full transcript and BBC vocabulary list Calls three AI nodes (OpenAI) to generate: a motivational email hook message fill-in-the-blank vocabulary exercises discussion questions related to the topic Combines all vocabulary words and sends them to ElevenLabs to generate a slow-paced audio track for listening practice Builds a prettify HTML email that includes: title, description, hook, vocabulary list, exercises, discussion questions and resource links Sends the final lesson by email via the Gmail node, with the vocabulary audio attached For example, this is the latest email generated by the workflow: P.S.: You can customise the footer to your school or company identity. 🎥 Tutorial I advise you to check the tutorial on my YouTube channel for the details on how to set up the nodes and customise the content: Next Steps Follow the stickers to set up all the nodes: Replace the Data Table reference with your own (storing at least guid, title, link, processed_date) Set up your OpenAI credentials in the three Model nodes Set up your ElevenLabs credentials and choose a voice in the audio node Configure your Gmail credentials and recipient email address in the Send Email node Adapt the RSS feed URL if you want to track another podcast or source Customise the HTML email (colours, logo, footer text) in the Prepare Email Code node Adjust the schedule (time or frequency) if you prefer another cadence Submitted: 18 November 2025 Template designed with n8n version 1.116.2

Workflow Purpose The workflow is designed to scan submitted URLs using urlscan.io and VirusTotal, combine the results into a single structured summary, and send the report via Telegram. I built this workflow for people who primarily work from their phones and receive a constant stream of emails throughout the day. If a user gets an email asking them to sign a document, review a report, or take any action where the link looks suspicious, they can simply open the Telegram bot and quickly check whether the URL is safe before clicking it. Key Components 1. Input / Trigger Accepts URLs that need to be checked. Initiates requests to VirusTotal and urlscan.io. 2. VirusTotal Scan Always returns results if the URL is reachable. Provides reputation, malicious/clean flags, and scan metadata. 3. urlscan.io Scan Returns details on how the URL behaves when loaded (domains, requests, resources, etc.). Sometimes fails due to blocks or restrictions. 4. Error Handling with Code Node Checks whether urlscan.io responded successfully. Ensures the workflow always produces a summary, even if urlscan.io fails. 5. Summary Generation If both scans succeed → summarize combined findings from VirusTotal + urlscan.io. If urlscan.io fails → state clearly in the summary “urlscan.io scan was blocked/failed. Relying on VirusTotal results.” Ensures user still gets a complete security report. 6. Telegram Output Final formatted summary is delivered to a Telegram chat via the bot. Chat ID issue was fixed after the Code Node restructuring. Outcome The workflow now guarantees a consistent, user-friendly summary regardless of urlscan.io failures. It leverages VirusTotal as the fallback source of truth. The Telegram bot provides real-time alerts with clear indications of scan success/failure. Prequisites Telegram In Telegram, start a chat with @BotFather. Send /newbot, pick a name and a unique username. Copy the HTTP API token BotFather returns (store securely) Start a DM with your bot and send any message. Call getUpdates and read the chat.id urlscan.io Create/log into your urlscan.io account. Go to Settings & API → New API key and generate a key. (Recommended) In Settings & API, set Default Scan Visibility to Unlisted to avoid exposing PII in public scans. Save the key securely (env var or n8n Credentials). Rate limits note: urlscan.io enforces per-minute/hour/day quotas; exceeding them returns HTTP 429. You can view your personal quotas on their dashboard/quotas endpoint Virustotal Sign up / sign in to VirusTotal Community. Open My API key (Profile menu) and copy your Public API key. Store it securely (env var or n8n Credentials). For a more reliable connection with VirusTotal and improved scanning results, enable the Header section in the node settings. Add a header parameter with a clear name (e.g., x-apikey), and then paste your API key into the Value field. Rate limits (Public API): 4 requests/minute, 500/day; not for commercial workflows. Consider Premium if you’ll exceed this. How to Customize the Workflow This workflow is designed to be highly customizable, allowing users to adapt it to their specific needs and use cases. For example, additional malicious website scanners can be integrated through HTTP Request nodes. To make this work, the user simply needs to update the Merge node so that all information flows correctly through the workflow. In addition, users can connect either Gmail or Outlook nodes to automatically test URLs, binary attachments, and other types of information received via email—helping them evaluate data before opening it. Users can also customize how they receive reports. For instance, results can be sent through Telegram (as in the default setup), Slack, Microsoft Teams, or even saved to Google Drive or a Google Sheet for recordkeeping and audit purposes. For consulting and support, or if you have questions, please feel free to connect with me on Linkedin or via email.

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. WordPress to Blotato Social Publisher Overview: This automation monitors your WordPress site for new posts and automatically creates platform-specific social media content using AI, then posts to Twitter, LinkedIn, and Facebook via Blotato. What it does: Monitors WordPress site for new posts every 30 minutes Filters posts published in the last hour to avoid duplicates Processes each new post individually AI generates optimized content for each social platform (Twitter, LinkedIn, Facebook) Extracts platform-specific content from AI response Publishes to all three social media platforms via Blotato API Setup Required: WordPress Connection Configure WordPress credentials in the "Check New Posts" node Enter your WordPress site URL, username, and password/app password Blotato Social Media API Setup Get your Blotato API key from your Blotato account Configure API credentials in the Blotato connection node Map each platform (Twitter, LinkedIn, Facebook) to the correct Blotato channel AI Configuration Set up Google Gemini API credentials Connect the Gemini model to the "AI Social Content Creator" node Customization Options Posting Frequency: Modify schedule trigger (default: every 30 minutes) Content Tone: Adjust AI system message for different writing styles Post Filtering: Change time window in WordPress node (default: last hour) Platform Selection: Remove any social media platforms you don’t want to use Testing Run workflow manually to test connections Verify posts appear correctly on all platforms Monitor for API rate limit issues Features: Platform-optimized content (hashtags, character limits, professional tone) Duplicate prevention system Batch processing for multiple posts Featured image support Customizable posting frequency Customization: Change monitoring frequency Adjust AI prompts for different tones Add/remove social platforms Modify hashtag strategies Need Help? For n8n coaching or one-on-one consultation

This workflow monitors targeted subreddits for potential sales leads using Reddit’s API, AI content analysis, Supabase, and Google Sheets. It is built specifically to discover posts from Reddit users who may benefit from a particular product or service. It can be easily customized for any market. 🔍 Features Targeted Subreddit Monitoring:** Searches multiple niche subreddits like smallbusiness, startup, sweatystartup, etc., using relevant keywords. AI-Powered Relevance Scoring:** Uses OpenAI GPT to analyze each post and determine if it’s written by someone who might benefit from your product, returning a simple “yes” or “no.” Duplicate Lead Filtering with Supabase:** Ensures you don’t email the same lead more than once by storing already-processed Reddit post IDs in a Supabase table. Content Filtering:** Filters out posts with no body text or no upvotes to ensure only high-quality content is processed. Lead Storage in Google Sheets:** Saves qualified leads into a connected Google Sheet with key data (URL, post content, subreddit, and timestamp). Email Digest Alerts:** Compiles relevant leads and sends a daily digest of matched posts to your team’s inbox for review or outreach. Manual or Scheduled Trigger:** Can be manually triggered or automatically scheduled (via the built-in Schedule Trigger node). ⚙️ Tech Stack Reddit API** – For post discovery OpenAI Chat Model** – For AI-based relevance filtering Supabase** – For lead de-duplication Google Sheets** – For storing lead details Gmail API** – For sending email alerts 🔧 Customization Tips Adjust Audience**: Modify the subreddits and keywords in the initial Code node to match your market. Change the AI Prompt**: Customize the prompt in the “Analysis Content by AI” node to describe your product or service. Search Comments Instead**: To monitor comments instead of posts, change type=link to type=comment in the Reddit Search node. Change Email Recipients**: Edit the Gmail node to direct leads to a different email address or format.

This n8n template from Intuz provides a complete and automated solution for creating and distributing sophisticated release notes. It connects to GitHub and JIRA to gather data from recent commits and completed tickets, using specific keywords or labels to identify key features for inclusion. This information is then processed by Google Gemini to automatically generate well-written, human-like release notes, which are then distributed via email to stakeholders, creating a complete, end-to-end communication pipeline for every new software release. This template is perfect for development teams looking to streamline their release process, ensure consistent communication, and eliminate the manual effort of writing release notes. How to use 1. Set up Credentials: GitHub JIRA (Software Cloud API) Google Gemini (or another PaLM/LLM provider) Your SMTP email server. 2. Configure the GitHub Trigger: Select the Github Trigger node. In the Repository Owner field, enter your GitHub username or organization name. In the Repository Name field, select the repository you want to monitor. 3. Verify the JIRA Integration: Important:** This workflow assumes your commit messages contain a JIRA key (e.g., "PROJ-123: Fix login bug"). Select the first Code node. It uses a regular expression ([A-Z]+-\\d+)/i to find JIRA keys. Adjust this expression if your team uses a different format. Select the Get an issue node and ensure your JIRA credentials are correctly configured. 4. Customize the AI Prompt: Select the Basic LLM Chain node. You can edit the prompt to change the tone, style, or structure of the generated HTML release note to match your company's standards. 5. Configure Email Notifications: Select the Send email node. Update the To Email field with the recipient's email address (e.g., a team distribution list or a stakeholder's email). Customize the From Email and Subject line as needed. 6. Activate Workflow: Save your changes and activate the workflow. Now, every push to your configured repository will trigger the automated generation and sending of release notes. Required Tools GitHub: To trigger the workflow on code pushes. JIRA: To fetch details about the tasks and bugs included in the release. Google Gemini: To intelligently generate the release note content. (You can swap this for another LLM supported by n8n). SMTP Provider: To send the final release note via email. Connect with us Website: https://www.intuz.com/services Email: getstarted@intuz.com LinkedIn: https://www.linkedin.com/company/intuz Get Started: https://n8n.partnerlinks.io/intuz For Custom Worflow Automation Click here- Get Started

Who’s it for This template is designed for Print-on-Demand (POD) business owners, independent artists, and e-commerce managers who want to automate the process of turning raw design files into listed products without manual data entry. How it works This workflow acts as an automated merchandise factory that handles everything from image processing to marketing. Trigger: The workflow starts when a new design file is uploaded to a specific Google Drive folder. Analyze: OpenAI Vision analyzes the image to determine the subject, mood, and color palette, and assesses copyright risk. Process: The image background is removed using Remove.bg, and the clean asset is uploaded to Cloudinary. Mockup: The workflow generates realistic product mockups (e.g., T-shirts, Tote bags) by overlaying the design onto base product images using Cloudinary transformations. Copywriting: OpenAI writes an SEO-friendly product title, description, and tags based on the visual analysis. Draft: A draft product is created in Shopify with the generated details and mockup image. Approval: A message is sent to Slack with the product details and mockup. The workflow pauses and waits for a human to click "Approve" or "Reject". Publish & Promote: If approved, the product is published to Shopify and automatically posted to Instagram and Pinterest. If rejected, a notification is sent to Slack. How to set up Base Images: Upload your blank product images (e.g., a white t-shirt, a tote bag) to your Cloudinary account and note their Public IDs. Configuration: Open the Workflow Configuration node and fill in all the required fields, including your API keys and the Cloudinary Public IDs for your base products. Credentials: Configure the credentials for Google Drive, OpenAI, Shopify, Slack, Instagram, and Pinterest in their respective nodes. Folder ID: Update the Google Drive Trigger node with the ID of the folder you want to watch. Requirements n8n (Self-hosted or Cloud) Google Drive account OpenAI API key (Access to GPT-4o model recommended for Vision capabilities) Remove.bg API key Cloudinary account Shopify store Slack workspace Instagram Business account Pinterest account How to customize Mockups: You can modify the Code - Generate Mockup URLs node to add more product types (e.g., Hoodies, Mugs) by adding their Cloudinary Public IDs. Prompt Engineering: Adjust the system prompt in the OpenAI - SEO Copywriting node to match your brand voice or language style. Social Channels: Add or remove nodes to support other platforms like Twitter (X) or Facebook Pages.

Revolutionize your recruitment process with intelligent AI-driven candidate screening that evaluates resumes, scores applicants, and automatically routes them based on fit - saving 10-15 hours per week on initial screening. 🎯 What This Workflow Does Transforms your hiring pipeline from manual resume review to intelligent automation: 📝 Captures Applications - Jotform intake with resume upload 🤖 AI Resume Analysis - OpenAI parses skills, experience, education, and red flags 🎯 Intelligent Scoring - Evaluates candidates against job requirements with structured scoring (0-100) 🚦 Smart Routing - Automatically routes based on AI recommendation: Strong Yes (85-100): Instant Slack alert → Interview invitation Maybe/Yes (60-84): Manager review → Approval workflow No (<60): Polite rejection email 📊 Analytics Tracking - All data logged to Google Sheets for hiring insights ✨ Key Features AI Resume Parsing**: Extracts structured data from any resume format Intelligent Scoring System**: Multi-dimensional evaluation (skills match, experience quality, cultural fit) Structured Output**: Consistent JSON schema ensures reliable data for decision-making Automated Communication**: Personalized emails for every candidate outcome Human-in-the-Loop**: Manager approval for borderline candidates Comprehensive Analytics**: Track conversion rates, average scores, and hiring metrics Customizable Job Requirements**: Easy prompt editing to match any role 💼 Perfect For Startups & Scale-ups**: Processing 50+ applications per week HR Teams**: Wanting to reduce time-to-hire by 40-60% Technical Recruiters**: Screening engineering, product, or design roles Growing Companies**: Scaling hiring without scaling headcount 🔧 What You'll Need Required Integrations Jotform** - Application intake form (free tier works) Create your form for free on Jotform using this link OpenAI API** - GPT-4o-mini for cost-effective AI analysis (~$0.15 per candidate) Gmail** - Automated candidate communication Google Sheets** - Hiring database and analytics Optional Integrations Slack** - Instant alerts for hot candidates Linear/Asana** - Task creation for interview scheduling Calendar APIs** - Automated interview booking 🚀 Quick Start Import Template - Copy JSON and import into n8n Create Jotform - Use provided field structure (name, email, resume upload, etc.) Add API Keys - OpenAI, Jotform, Gmail, Google Sheets Customize Job Requirements - Edit AI screening prompt with your role details Personalize Emails - Update templates with your company branding Test & Deploy - Submit test application and verify all nodes 🎨 Customization Options Adjust Scoring Thresholds**: Change routing logic based on your needs Multiple Positions**: Clone workflow for different roles with unique requirements Add Technical Assessments**: Integrate HackerRank, CodeSignal, or custom tests Interview Scheduling**: Connect Calendly or Google Calendar for auto-booking ATS Integration**: Push data to Lever, Greenhouse, or BambooHR Diversity Tracking**: Add demographic fields and analytics Reference Checking**: Automate reference request emails 📈 Expected Results 90% reduction** in manual resume review time 24-hour response time** to all candidates Zero missed applications** - every candidate gets feedback Data-driven hiring** - track what works with comprehensive analytics Better candidate experience** - fast, professional communication Consistent evaluation** - eliminate unconscious bias with structured AI scoring 🏆 Use Cases Technology Companies Screen 100+ engineering applications per week, identify top 10% instantly, schedule interviews same-day. Agencies & Consultancies Evaluate consultant candidates across multiple skill dimensions, route to appropriate practice areas. High-Volume Hiring Process retail, customer service, or sales applications at scale with consistent quality. Remote-First Teams Evaluate global candidates 24/7, respond instantly regardless of timezone. 💡 Pro Tips Train Your AI**: After 50+ applications, refine prompts based on false positives/negatives A/B Test Thresholds**: Experiment with score cutoffs to optimize for your needs Build Talent Pipeline**: Keep "maybe" candidates in CRM for future roles Track Source Effectiveness**: Add UTM parameters to measure which job boards deliver best candidates Continuous Improvement**: Weekly review of AI assessments to calibrate accuracy 🎓 Learning Resources This workflow demonstrates: AI Agents with structured output Multi-stage conditional routing Human-in-the-loop automation Binary data processing (resume files) Email automation with HTML templates Real-time notifications Analytics and data logging Perfect for learning advanced n8n automation patterns! Ready to transform your hiring process? Import this template and start screening candidates intelligently in under 30 minutes. Questions or customization needs? The workflow includes detailed sticky notes explaining each section.

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Create and Auto-Post Viral AI Videos with VEO3 and Blotato to 9 Platforms Who is this for? This template is ideal for content creators, growth marketers, e-commerce entrepreneurs, and video-first brands who want to automate the creation and multi-platform distribution of viral short-form ads using AI. If you're looking to scale video production without editing tools or posting manually, this is for you. What problem is this workflow solving? Creating high-converting video content is time-consuming. You need to: Come up with ideas Write compelling scripts Generate visuals Adapt content for each platform Manually publish and track results This workflow automates that entire process and turns a single idea into a ready-to-publish video campaign across 9 platforms. What this workflow does Triggers via Telegram when a new video idea is submitted Fetches parameters (style, tone, duration) from Google Sheets Generates the video script using GPT-4 and a master AI prompt Creates the video using Google’s VEO3 video generation model Downloads the final video once rendering is complete Rewrites the caption with GPT-4o for platform-optimized posting Logs the result in Google Sheets for tracking Sends preview links to Telegram for review Auto-posts the video to 9 platforms using Blotato (TikTok, YouTube, Instagram, Threads, Facebook, X, LinkedIn, Pinterest, Bluesky) Setup Install n8n (self-hosted) with Community Nodes enabled Connect your Telegram Bot Token to the trigger node Add your OpenAI API Key for GPT-4 and GPT-4o models Configure your VEO3 API access (Google AI Studio) Set up Blotato with your platform tokens & IDs Link your Google Sheets and set the expected column structure (idea, style, caption, etc.) Adjust the Telegram trigger format (e.g., idea: ...) to your team’s input style How to customize this workflow to your needs Edit the master prompt to match your brand voice or industry Replace the caption prompt to generate more marketing-style hooks Modify the platform list if you only publish to a few specific channels Add approval steps (Slack, email, Telegram) before publishing Integrate tracking by pushing published URLs to your analytics or CRM 📄 Documentation: Notion Guide Need help customizing? Contact me for consulting and support : Linkedin / Youtube

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. How it works? The Content Strategy AI Pipeline is an intelligent, multi-stage content creation system that transforms simple user prompts into polished, ready-to-publish content. The system intelligently extracts platform requirements, audience insights, and brand tone from user requests, then develops strategic reasoning and emotional connection strategies before crafting compelling content outlines and final publication-ready posts or articles. Supporting both social media platforms (Instagram, LinkedIn, X, Facebook, TikTok) and blog content. Key Differentiators: Strategic thinking approach, emotional intelligence integration, platform-native optimization, zero-editing-required output, and professional content strategist-level quality through multi-model AI orchestration. Technical Points Multi-model AI orchestration for specialized tasks Emotional psychology integration for audience connection Platform algorithm optimization built-in Industry-standard content strategy methodology automated Enterprise-grade reliability with session management and memory API-ready architecture for integration into existing workflows Test Inputs Sample Request: "Create an Instagram post for a fitness coach targeting busy moms, tone should be motivational and relatable" Expected Flow: Platform: Instagram → Niche: Fitness → Audience: Busy Moms → Tone: Motivational → Output: 125-150 word post with hashtags `

LinkedIn Job-Based Cold Email System Most outreach tools rely on generic lead lists and recycled contact data. This workflow builds a live, personalized lead engine that scrapes new LinkedIn job posts, finds company decision-maker emails, and generates custom cold emails using GPT — all fully automated through n8n. Benefits Automated daily scraping of “Marketing Manager” jobs in Belgium Real-time leads from companies currently hiring for marketing roles Filters out HR and staffing agencies to keep only real businesses Enriches each company with verified CEO, Sales, and Marketing emails Generates unique, human-like cold emails and subject lines with GPT-4o Saves clean data to Google Sheets and drafts personalized Gmail messages How It Works Schedule Trigger runs every morning at 08:00. Apify LinkedIn Scraper collects new “Marketing Manager” jobs in Belgium. Remove Duplicates ensures each company appears only once. Filter Staffing excludes recruiters, HR agencies, and interim firms. Save Useful Infos extracts core company data — name, domain, size, description. Filter Domain & Size keeps valid websites and companies under 100 employees. Anymailfinder API looks up CEO, Sales, and Marketing decision-maker emails. Merge + If Node validates email results and removes invalid entries. Split Out + Deduplicate ensures unique, verified contacts. Extract Lead Name (Code Node) separates first and last names. Google Sheets Node appends all enriched lead data to your master sheet. GPT-4o (LangChain) writes a 100–120 word personalized cold email. GPT-4o (LangChain) creates a short, casual subject line. Gmail Draft Node builds a ready-to-send email using both outputs. Wait Node loops until all leads are processed. Who Is This For B2B agencies targeting Belgian SMEs Outbound marketers using job postings as purchase intent signals Freelancers or founders running lean, automated outreach systems Growth teams building scalable cold email engines Setup Apify**: use curious_coder~linkedin-jobs-scraper actor + API token Anymailfinder**: header auth with decision-maker categories (ceo, sales, marketing) Google Sheets**: connect a sheet named “LinkedIn Job Scraper” and map columns OpenAI (GPT-4o)**: insert your API key into both LangChain nodes Gmail**: OAuth2 connection; resource set to draft n8n**: store all credentials securely; set HTTP nodes to continue on error ROI & Results Save 1–3 hours per day on manual research and outreach prep Contact active hiring companies when they need marketing help most Scale to multiple industries or regions by changing search URLs Outperform paid lead databases with fresh, verified data Strategy Insights Add funding or tech-stack data for better lead scoring A/B test GPT subject lines and log open rates in Sheets Schedule GPT follow-ups 3 and 7 days later for full automation Push all enriched data to your CRM for advanced segmentation Use hiring signals to trigger ad audiences or retargeting campaigns Check Out My Channel For more advanced automation workflows that generate real client results, check out my YouTube channel — where I share the exact systems I use to automate outreach, scale agency pipelines, and close deals faster.

💥 Generate UGC Promo Videos with Blotato and Sora 2 for eCommerce 🧩 Who is this for? This workflow is perfect for eCommerce brands, content creators, and marketing teams who want to automatically generate short, eye-catching videos from their product images — without editing software or manual work. 🚀 What problem does this workflow solve? Creating engaging promotional videos manually can be time-consuming and expensive. This automation eliminates that friction by combining Blotato, Sora 2, and AI scripting to turn static product images into dynamic UGC-style videos ready for TikTok, Instagram Reels, and YouTube Shorts. ⚙️ What this workflow does This workflow: Receives a product image directly from Telegram or another input source. Analyzes the image with OpenAI Vision to understand the product’s features and audience. Generates a natural, short UGC-style script using GPT-based AI. Sends the image and script to Sora 2 via the Fal API to generate a vertical promotional video. Monitors the video status every 15 seconds until completion. Downloads or automatically publishes the final video to your social platforms. 🧠 Setup Create a Fal.ai API key and set it in your n8n credentials (Authorization: Key YOUR_FAL_KEY). Connect your Telegram, OpenAI, and HTTP Request nodes as shown in the workflow. Make sure the Build Public Image URL node outputs a valid, public image link. In the HTTP Request node for Sora 2, set: Method: POST URL: https://fal.run/fal-ai/sora-2/image-to-video Headers: Authorization: Key YOUR_FAL_KEY Content-Type: application/json Body: Raw JSON with parameters like prompt, image_url, duration, and aspect_ratio. Run the workflow and monitor the execution logs for your video URL. Blotato → API key for social media publishing 🎨 How to customize this workflow to your needs 🧾 Change the video tone: Edit the OpenAI prompt to produce educational, emotional, or luxury-style scripts. 🎬 Adjust duration or format: Use Sora 2’s supported durations (4, 8, or 12 seconds) and aspect ratios (e.g., 9:16 for social media). 📲 Auto-publish your videos: Connect the TikTok, Instagram, or YouTube upload nodes for full automation. ✨ Add branding: Include overlays, logos, or end screens via CapCut or an external API integration. 🎥 Watch This Tutorial 👋 Need help or want to customize this? 📩 Contact: LinkedIn 📺 YouTube: @DRFIRASS 🚀 Workshops: Mes Ateliers n8n 📄 Documentation: Notion Guide Need help customizing? Contact me for consulting and support : Linkedin / Youtube / 🚀 Mes Ateliers n8n

AWS News Analysis and LinkedIn Automation Pipeline Transform AWS industry news into engaging LinkedIn content with AI-powered analysis and automated approval workflows. Who's it for This template is perfect for: Cloud architects and DevOps engineers** who want to stay current with AWS developments Content creators** looking to automate their AWS news coverage Marketing teams** needing consistent, professional AWS content Technical leaders** who want to share industry insights on LinkedIn AWS consultants** building thought leadership through automated content How it works This workflow creates a comprehensive AWS news analysis and content generation pipeline with two main flows: Flow 1: News Collection and Analysis Scheduled RSS Monitoring: Automatically fetches latest AWS news from the official AWS RSS feed daily at 8 PM AI-Powered Analysis: Uses AWS Bedrock (Claude 3 Sonnet) to analyze each news item, extracting: Professional summary Key themes and keywords Importance rating (Low/Medium/High) Business impact assessment Structured Data Storage: Saves analyzed news to Feishu Bitable with approval status tracking Flow 2: LinkedIn Content Generation Manual Approval Trigger: Feishu automation sends approved news items to the webhook AI Content Creation: AWS Bedrock generates professional LinkedIn posts with: Attention-grabbing headlines Technical insights from a Solutions Architect perspective Business impact analysis Call-to-action engagement Automated Publishing: Posts directly to LinkedIn with relevant hashtags How to set up Prerequisites AWS Bedrock access** with Claude 3 Sonnet model enabled Feishu account** with Bitable access LinkedIn company account** with posting permissions n8n instance** (self-hosted or cloud) Detailed Configuration Steps 1. AWS Bedrock Setup Step 1: Enable Claude 3 Sonnet Model Log into your AWS Console Navigate to AWS Bedrock Go to Model access in the left sidebar Find Anthropic Claude 3 Sonnet and click Request model access Fill out the access request form (usually approved within minutes) Once approved, verify the model appears in your Model access list Step 2: Create IAM User and Credentials Go to IAM Console Click Users → Create user Name: n8n-bedrock-user Attach policy: AmazonBedrockFullAccess (or create custom policy with minimal permissions) Go to Security credentials tab → Create access key Choose Application running outside AWS Download the credentials CSV file Step 3: Configure in n8n In n8n, go to Credentials → Add credential Select AWS credential type Enter your Access Key ID and Secret Access Key Set Region to your preferred AWS region (e.g., us-east-1) Test the connection Useful Links: AWS Bedrock Documentation Claude 3 Sonnet Model Access AWS Bedrock Pricing 2. Feishu Bitable Configuration Step 1: Create Feishu Account and App Sign up at Feishu International Create a new Bitable (multi-dimensional table) Go to Developer Console → Create App Enable Bitable permissions in your app Generate App Token and App Secret Step 2: Create Bitable Structure Create a new Bitable with these columns: title (Text) pubDate (Date) summary (Long Text) keywords (Multi-select) rating (Single Select: Low, Medium, High) link (URL) approval_status (Single Select: Pending, Approved, Rejected) Get your App Token and Table ID: App Token: Found in app settings Table ID: Found in the Bitable URL (tbl...) Step 3: Set Up Automation In your Bitable, go to Automation → Create automation Trigger: When field value changes → Select approval_status field Condition: approval_status equals "Approved" Action: Send HTTP request Method: POST URL: Your n8n webhook URL (from Flow 2) Headers: Content-Type: application/json Body: {{record}} Step 4: Configure Feishu Credentials in n8n Install Feishu Lite community node (self-hosted only) Add Feishu credential with your App Token and App Secret Test the connection Useful Links: Feishu Developer Documentation Bitable API Reference Feishu Automation Guide 3. LinkedIn Company Account Setup Step 1: Create LinkedIn App Go to LinkedIn Developer Portal Click Create App Fill in app details: App name: AWS News Automation LinkedIn Page: Select your company page App logo: Upload your logo Legal agreement: Accept terms Step 2: Configure OAuth2 Settings In your app, go to Auth tab Add redirect URL: https://your-n8n-instance.com/rest/oauth2-credential/callback Request these scopes: w_member_social (Post on behalf of members) r_liteprofile (Read basic profile) r_emailaddress (Read email address) Step 3: Get Company Page Access Go to your LinkedIn Company Page Navigate to Admin tools → Manage admins Ensure you have Content admin or Super admin role Note your Company Page ID (found in page URL) Step 4: Configure LinkedIn Credentials in n8n Add LinkedIn OAuth2 credential Enter your Client ID and Client Secret Complete OAuth2 flow by clicking Connect my account Select your company page for posting Useful Links: LinkedIn Developer Portal LinkedIn API Documentation LinkedIn OAuth2 Guide 4. Workflow Activation Final Setup Steps: Import the workflow JSON into n8n Configure all credential connections: AWS Bedrock credentials Feishu credentials LinkedIn OAuth2 credentials Update webhook URL in Feishu automation to match your n8n instance Activate the scheduled trigger (daily at 8 PM) Test with manual webhook trigger using sample data Verify Feishu Bitable receives data Test approval workflow and LinkedIn posting Requirements Service Requirements AWS Bedrock** with Claude 3 Sonnet model access AWS account with Bedrock service enabled IAM user with Bedrock permissions Model access approval for Claude 3 Sonnet Feishu Bitable** for news storage and approval workflow Feishu account (International or Lark) Developer app with Bitable permissions Automation capabilities for webhook triggers LinkedIn Company Account** for automated posting LinkedIn company page with admin access LinkedIn Developer app with posting permissions OAuth2 authentication setup n8n community nodes**: Feishu Lite node (self-hosted only) Technical Requirements n8n instance** (self-hosted recommended for community nodes) Webhook endpoint** accessible from Feishu automation Internet connectivity** for API calls and RSS feeds Storage space** for workflow execution logs Cost Considerations AWS Bedrock**: ~$0.01-0.05 per news analysis Feishu**: Free tier available, paid plans for advanced features LinkedIn**: Free API access with rate limits n8n**: Self-hosted (free) or cloud subscription How to customize the workflow Content Customization Modify AI prompts** in the AI Agent nodes to change tone, focus, or target audience Adjust hashtags** in the LinkedIn posting node for different industries Change scheduling** frequency by modifying the Schedule Trigger settings Integration Options Replace LinkedIn** with Twitter/X, Facebook, or other social platforms Add Slack notifications** for approved content before posting Integrate with CRM** systems to track content performance Add content calendar** integration for better planning Advanced Features Multi-language support** by modifying AI prompts for different regions Content categorization** by adding tags for different AWS services Performance tracking** by integrating analytics platforms Team collaboration** by adding approval workflows with multiple reviewers Technical Modifications Change RSS sources** to monitor other AWS blogs or competitor news Adjust AI models** to use different Bedrock models or external APIs Add data validation** nodes for better error handling Implement retry logic** for failed API calls Important Notes Service Limitations This template uses community nodes (Feishu Lite) and requires self-hosted n8n Geo-restrictions** may apply to AWS Bedrock models in certain regions Rate limits** may affect high-frequency posting - adjust scheduling accordingly Content moderation** is recommended before automated posting Cost considerations**: Each AI analysis costs approximately $0.01-0.05 USD per news item Troubleshooting Common Issues AWS Bedrock Issues: Model not found**: Ensure Claude 3 Sonnet access is approved in your region Access denied**: Verify IAM permissions include Bedrock service access Rate limiting**: Implement retry logic or reduce analysis frequency Feishu Integration Issues: Authentication failed**: Check App Token and App Secret are correct Table not found**: Verify Table ID matches your Bitable URL Automation not triggering**: Ensure webhook URL is accessible and returns 200 status LinkedIn Posting Issues: OAuth2 errors**: Re-authenticate LinkedIn credentials Posting failed**: Verify company page admin permissions Rate limits**: LinkedIn has daily posting limits for company pages Security Best Practices Never hardcode credentials** in workflow nodes Use environment variables** for sensitive configuration Regularly rotate API keys** and access tokens Monitor API usage** to prevent unexpected charges Implement error handling** for failed API calls