URL and IP lookups through Greynoise and VirusTotal
This n8n workflow serves as a powerful cybersecurity and threat intelligence tool to look up URLs or IP addresses through industry standard threat intelligence vendors. It starts with either a form submission or a webhook trigger, allowing users to input data, URLs or IPs that require analysis. The workflow then splits into two paths depending on whether the input data is an IP or URL. If an IP was given, it sets the ip variable to the IP; however if a URL was given the workflow will perform a DNS lookup using Google Public DNS and sets the ip variable based on the results from Google. The workflow then checks the obtained IP addresses against GreyNoise services, with one branch utilizing GreyNoise RIOT IP Lookup to assess IP reputation and association with known benign services, and the other using GreyNoise IP Context to evaluate potential threats. The results from both GreyNoise services are merged to create a comprehensive analysis which includes the IP, classification (benign, malicious, or unknown), IP location, tags to identify activity or malware, category, and trust level. In parallel, a VirusTotal scan is initiated for the URL/IP to identify if it is malicious. A 5-second wait ensures proper processing, and the workflow subsequently polls the scan result to determine when the analysis is complete. The workflow then summarizes the analysis including the overall security vendor analysis results, blockList analysis, OpenPhish analysis, the URL, and the IP. Finally, the workflow combines the summarized intelligence from both GreyNoise and VirusTotal to provide a thorough analysis of the URL/IP. This summarized intelligence can then be emailed to the user that filled out the form via Gmail or it can be sent to the user via a Slack message. Setting up this workflow may require proper configuration of the form submission or webhook trigger, and ensuring that the GreyNoise and VirusTotal API credentials are correctly integrated. Users should also consider the potential volume of data and API rate limits, as excessive requests could lead to issues. Proper documentation and validation of input data are crucial to ensure accurate and meaningful results in the final report.
By n8n TeamGenerate videos from text or images with Sora 2 AI - no watermark
Sora 2 Video Generator - No Watermark (Minimal Setup) This n8n workflow enables you to generate professional AI videos using OpenAI's Sora 2 without watermarks. Create videos from text descriptions or animate your images with a simple web form interface - ready to use in just 5 minutes! Generate cinematic AI videos for social media, marketing campaigns, product demos, or creative projects. The workflow handles both text-to-video and image-to-video generation with automatic status polling until your video is ready. Good to know: • Kie.AI charges per video generation. Check their pricing page for current rates • Videos typically take 30-60 seconds for standard quality, 60-120 seconds for HD • The workflow automatically retries status checks every 30 seconds until completion • No watermarks on output videos --- How it works • Users submit video requests via a beautiful web form with description, aspect ratio, and quality options • The workflow detects if an image was uploaded and routes to either text-to-video or image-to-video • For image uploads, the file is automatically uploaded to ImgBB to generate a public URL • The request is sent to Sora 2 API via Kie.AI with your specifications (prompt, quality, aspect ratio) • The workflow waits 30 seconds, then checks if video generation is complete • If not ready, it automatically loops back and checks again every 30 seconds • Once complete, the video is downloaded and optionally sent via Telegram notification • Clean, watermark-free MP4 video output ready for use --- Set up steps Step 1: Get Kie.AI API Key • Sign up at kie.ai and navigate to your dashboard • Go to API Keys section and generate a new key • Copy the API key for the next step Step 2: Configure n8n Credentials • In n8n, go to Credentials → New Credential • Select "HTTP Header Auth" • Name: Kie Ai(Veo and more) (exact name required) • Header Name: Authorization • Header Value: Bearer YOURAPIKEY • Save the credential Step 3: ImgBB Setup (for Image-to-Video) • Get a free API key from api.imgbb.com • Open the "Upload to ImgBB" node in the workflow • Replace the YOURImgBBAPI_KEY parameter with your ImgBB API key Step 4: (Optional) Telegram Notifications • Create a bot with @BotFather on Telegram • Get your Chat ID from @getidbot • Update YOURCHATID in both Telegram nodes • Or delete Telegram nodes entirely if not needed Requirements • Kie.AI account with API access for Sora 2 • ImgBB account for image hosting (free tier available) • (Optional) Telegram bot for video delivery notifications --- Customising this workflow • Adjust wait times in the Wait nodes if generation takes longer in your region • Add email notifications instead of/in addition to Telegram • Modify the form to collect additional metadata (user info, project names, etc.) • Add error handling nodes for production deployments • Connect to cloud storage (Google Drive, Dropbox) instead of Telegram for video delivery • Integrate with your existing CMS or content management system For assistance and support: contact@bilsimaging.com
By Bilel ArouaSmart stock trading recommendations with GPT-4, TwelveData & NewsAPI analysis
Smart Stock Trading Recommendations with GPT-4, TwelveData & NewsAPI What It Does This template automates stock analysis by combining technical analysis, news sentiment, and real-time market data to generate actionable trading recommendations with confidence scores, risk management parameters, and entry/exit levels. Why It's Useful Data-Driven Decisions: Eliminates emotional trading by synthesizing multiple data sources Time-Saving: Analyzes a stock in seconds instead of hours of manual research Risk Management: Automatically calculates stop losses and risk/reward ratios Real-Time Context: Combines historical trends with breaking news and latest sentiment How It Works Technical Analysis (TwelveData) Fetches 4-hour, 1-day, and 1-week price trends Calculates moving averages and identifies support/resistance levels News Sentiment (NewsAPI + GPT-4) Pulls recent news articles about the stock Uses AI to score sentiment impact on price (-1.0 to +1.0) Distinguishes between "bad news" and "sell pressure" Live Market Intelligence (Perplexity API) Checks for real-time catalysts (earnings, Fed announcements, rumors) Catches breaking news that historical data might miss Visual Confirmation (Chart-Img API) Generates 1-week chart visualization for quick pattern recognition AI Decision Engine (GPT-4) Synthesizes all signals using quantitative decision rules Outputs: BUY/SELL/HOLD verdict with confidence level, entry zone, stop loss, and profit target Trade Setup Output Each recommendation includes: Verdict: BUY, SELL, or HOLD (with confidence score) Entry Zone: Optimal price to enter Stop Loss: Risk protection level Target: Profit objective Risk/Reward Ratio: Trade viability metric Required API Keys TwelveData (stock prices) NewsAPI (news articles) OpenAI (GPT-4 analysis) Perplexity (live sentiment) Chart-Img (optional - for chart visualization)
By Jitesh DugarCybersecurity assistant with GPT-4, Telegram bot & command execution
QuantumDefender AI is a next-generation intelligent cybersecurity assistant designed to harness the symbolic strength of quantum computing’s promise alongside cutting-edge AI capabilities. This sophisticated agent empowers SOC analysts, red teamers, and security researchers with rapid threat investigation, operational automation, and intelligent command execution—all driven by GPT-4 and integrated tools, accessible through Telegram or on any medium. --- 🔑 Key Features: Expert-Level Cybersecurity Research & Analysis: Leverages powerful AI models to deliver clean, detailed, domain-specific insights across detection, remediation, and offensive security. Command & Control: Executes Linux shell commands, autonomous scripts, and system operations securely in isolated environments. Real-Time Web Intelligence: Utilizes integrated Langsearch API to provide timely internet research with contextual relevance. Calendar & Scheduling Automation: Manage Google Calendar events or any similar application(create, update, delete, retrieve) dynamically from chat. Multi-Tool Orchestration: Combines calculator functions, internet searches, command execution, and messaging for comprehensive operational support. Telegram-native Chatbot: Delivers an adaptive, memory-informed, and interactive conversational experience with immediate typing indicators and high responsiveness. --- Conversation & Session Management: Maintains context-aware, session-based memory to enable smooth, multi-turn dialogues with individual users. Sends “typing…” indicators during processing to ensure an interactive, user-friendly chat experience. Operates exclusively within Telegram, delivering rich, timely responses and leveraging all Telegram bot capabilities. --- Execution Intelligence & Safety: Fully autonomous in deciding which tools to invoke, how frequently, and in what sequence to fulfill user requests comprehensively and responsibly. Operates within a secure temporary folder environment to contain all command executions safely and avoid persistent or harmful side effects. Enforces strict safety protocols to avoid running malicious or destructive commands, maintaining ethical standards and compliance. ---- Use Cases: Cybersecurity researchers and operators seeking an intelligent assistant to accelerate investigations and automate routine tasks. Red team professionals requiring on-the-fly command execution and information gathering integrated with tactical chat interactions. SOC teams aiming to augment their alert triage and incident handling workflows with AI-powered analysis and action. Anyone looking for a robust multi-tool AI chatbot integrated with real-world operational capabilities. --- Setup Requirements: OpenAI API key for GPT-4.1-nano language processing. Telegram Bot API credentials with proper webhook setup to receive and respond to messages. Google OAuth credentials for Calendar integration if calendar features are used. SSH access credentials for executing commands on remote hosts, if remote execution is enabled. Internet connectivity for the Langsearch web search API. --- Customization & Extensibility: The workflow is built modularly with n8n’s flexible node system. Users can extend it by adding more tools, integrating other services (ticketing, threat intel, scanning tools), or modifying interaction logic to suit specialized operational needs and environments. --- Created by Mariskarthick M Senior Security Analyst | Detection Engineer | Threat Hunter | Open-Source Enthusiast
By mariskarthickUpload podcast episodes to Spotify via RSS & Google Drive
🎧 Upload Podcast Episodes to Spotify via RSS & Google Drive Skip the manual steps and publish your podcast episodes to Spotify in minutes — fully automated. This workflow takes your finished audio, uploads it to Google Drive, updates your podcast’s RSS feed in GitHub, and pushes it live on Spotify and other platforms linked to that feed. No more copy-pasting links or manually editing XML files — everything happens in one click. It’s perfect for podcasters who already have an RSS feed connected to Spotify for Podcasters and want a repeatable, hands-free publishing process. --- 💡 What this workflow does ✅ Reads your finished MP3 from a local path or previous automation step ☁️ Uploads the audio to Google Drive and creates a public share link 📄 Fetches your existing rss.xml file from GitHub ➕ Appends a new <item> entry with title, description, publication date, and MP3 link 🔄 Commits the updated RSS file back to GitHub, triggering updates on Spotify 🎯 Ensures your episode appears on Spotify once your RSS is already linked in Spotify for Podcasters --- 🛠 What you’ll need A Google Drive account with OAuth credentials and a target folder ID A GitHub repository containing your rss.xml file An RSS feed connected to Spotify for Podcasters (set this up once before running the workflow) An MP3 file that meets Spotify’s audio format requirements --- ✨ Use cases Automate weekly or daily podcast publishing to Spotify Push your AI-generated podcast episodes live without manual editing Maintain a single source of truth for your feed in GitHub while streaming across multiple platforms --- 📬 Contact & Feedback Need help customizing this? Have ideas for improvement? 📩 Luis.acosta@news2podcast.com Or DM me on Twitter @guanchehacker If you’re building something more advanced with audio + AI, like fully automated podcast creation and publishing, let’s talk — I might have the missing piece you need.
By Luis AcostaGenerate ideal customer profile leads & personalized pitches with GPT-4o-mini, Perplexity and Apify
n8n Workflow: Automated Lead Generation & Personalized Outreach Overview This n8n workflow automates the entire lead generation and personalized email creation process for businesses. It analyzes a company's profile, identifies ideal customer profiles (ICP), finds matching leads, and generates customized outreach emails. --- Workflow Components JotForm Trigger Purpose: Form Submission Entry Point Captures business information through JotForm (Form ID: 252802732808054) Initiates the automation workflow when form is submitted Collects company website and business details --- Perplexity API Integration Purpose: Company Analysis Method: POST request to Perplexity AI Search API Function: Performs detailed research on the submitted company website Output: Comprehensive business intelligence and market positioning data --- ICP Finder (OpenAI GPT-4o-mini) Purpose: Ideal Customer Profile Creation Model: GPT-4o-mini Role: Expert client acquisition manager Task: Analyzes company details and generates best-fit customer profile Input: Company snippet from Perplexity research Output: Detailed ICP description --- Edit Fields Purpose: Data Transformation Extracts and formats the ICP output Prepares data for next workflow stage Ensures clean data flow between nodes --- ICP Industry Finder (OpenAI GPT-4o-mini) Purpose: Industry Classification Model: GPT-4o-mini Role: Expert ICP analyzer Task: Identifies specific business sector matching the ICP Rules: Returns single industry sector only Uses professional terminology (e.g., "healthcare", "call centre", "plumber") Excludes all SaaS-related companies Avoids generic terms like "technology industry" Output: Single industry sector name --- Leads Generator (Apify API) Purpose: Lead Discovery API: Local Business Lead Generator by james.logantech Method: Synchronous run with dataset items retrieval Configuration: Location: United States Maximum Results: 5 leads Business Types: Based on ICP industry output Output: List of qualified business leads --- Loop Over Items Purpose: Batch Processing Processes leads individually Enables personalized email creation for each lead Controls workflow iteration --- Personalized Emails (Apify API) Purpose: Custom Email Generation API: Pitches Pro by onescales Method: Synchronous run with dataset items retrieval Configuration: Promoting: Automation services Benefits: "Save 10+ hours per week by automating manual tasks" Goal: Partnership Tone: Professional yet approachable, confident but not pushy Language: English Additional Notes: Focus on time-saving, avoid technical jargon, include soft CTA Output: Personalized email for each lead --- Data Flow JotForm → Perplexity Analysis → ICP Generation → Field Formatting → Industry Classification → Lead Discovery → Batch Processing → Email Personalization --- Key Features ✅ Fully Automated: No manual intervention required ✅ AI-Powered: Uses GPT-4o-mini for intelligent ICP analysis ✅ Personalized: Custom emails for each prospect ✅ Scalable: Processes multiple leads in batches ✅ Time-Saving: Automates 10+ hours of manual work per week --- Requirements APIs Required: Perplexity AI (with Authorization token) OpenAI (GPT-4o-mini access) Apify (2 actors: Local Business Lead Generator & Pitches Pro) Form Platform: JotForm account n8n Instance: Self-hosted or cloud ---
By neightn011Daily business news summary with OpenAI and Gmail from multiple RSS sources
Pulls free business and economic headlines from multiple publicly available RSS feeds (e.g., Reuters, Wall Street Journal, Federal Reserve, St. Louis Fed, BNP Paribas, WTO). De-duplicates stories, keeps only the last 24 hours, and limits to a manageable number. Uses OpenAI to generate a concise market brief with sections and "Why it matters." Sends a clean HTML email via Gmail. Category: Business / Economics / News\ Time to set up: ~10--15 minutes\ Difficulty: Beginner--Intermediate\ Cost: Free (except minimal OpenAI tokens if summarization is used) What you'll need -------------------- n8n (recent version) OpenAI credentials (for summaries, optional if you want raw feeds only) Gmail (or SMTP) credentials A few free RSS feed URLs (swap in/out as you like) Set up steps ---------------- Trigger -- Add a Cron to run daily (pick your time and timezone). Fetch -- Add one RSS Read node per source and connect all to a Merge (append). De-duplicate (this run) -- Add Remove Duplicates and compare on a stable key (prefer the article URL). Freshness -- Add an IF to pass only items published in the last 24 hours. Limit -- Add Limit to cap the total items (e.g., 25). Summarize -- Add OpenAI → Message a model to produce a JSON brief with subject + HTML body. Email -- Add Gmail → Send to deliver the brief to your inbox. Tips & troubleshooting -------------------------- If everything gets discarded at de-dup while testing, switch to "within current input" or reset the node's stored values. If no items pass the IF, widen the date window temporarily (some feeds publish late). If the email arrives blank, ensure Gmail email type is set to HTML and the subject/body fields map to the model's output. Free sources you can start with (swap freely) ------------------------------------------------- Yahoo News Financial Times
By Calistus Christian