Analyze 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 MenendezAuto-Generate & Publish SEO Blog Posts to WordPress with OpenRouter & Runware
Automate Blog Creation and Publishing with Ultra-Low Cost AI This n8n workflow — BlogBlizt: Runaware Edition — automates the creation, enrichment, and publishing of SEO-optimized blog posts for WordPress using entirely free OpenRouter AI models for text and metadata generation, plus ultra-low-cost Runware AI for realistic featured images (as low as $0.0016 per image). It’s triggered every 3 hours or manually via Telegram. Each run generates 1,500–3,500-word articles on trending topics in Technology, AI, Tech Facts, History, or Tips — all complete with catchy titles, slugs, meta descriptions, and visuals. --- 💰 Why This Is So Cost-Efficient ✅ Free metadata + article generation (OpenRouter free-tier models) 💸 Only cost is for image generation via Runware: Image generation: ~$0.0016/image (the cheapest model could be $0,00065) This is ideal for scale — generating dozens of high-quality blog posts with minimal expense. --- ⚡ Who Is This For? Bloggers who want high-quality content without writing SEO marketers seeking fresh, long-form articles WordPress site owners automating publishing workflows Growth hackers targeting high-volume content generation --- ❓ What Problem Does It Solve? Creating SEO-rich blog content is time-consuming, expensive, and requires expertise. BlogBlizt eliminates this friction by using free models (OpenRouter) to generate text and metadata — making this workflow nearly free to operate, with the only cost being the featured image (~$0.0016/image). --- 🔧 What This Workflow Does ⏱ Triggers: Every 3 hours (or via Telegram command: generate) 🧠 Generates Metadata: Title, slug, category, focus keyphrase, and meta description using OpenRouter ✍️ Writes SEO Article: 1,500–3,500 words with headings, H2/H3s, CTA, and outbound links 🖼️ Creates Image: Generates realistic 1024×1024 blog image with Runware AI 📤 Publishes to WordPress: Auto-publishes with category ID, featured image, and Yoast SEO fields 📣 Notifies: Sends publish link to Discord and Telegram (optional) --- 🔐 Setup Instructions Import .json into n8n Add credentials: OpenRouter API (free LLMs like LLaMA-3, Nemotron) Runware API key (get it here) (Optional) Telegram Bot + Discord Webhook Test by sending the word generate via Telegram --- 🧩 Pre-Requirements Self-hosted or cloud-based n8n instance WordPress with category IDs configured: Technology → 3 AI → 4 Tech Fact → 7 Tech History → 8 Tech Tips → 9 OpenRouter API Key (free) Runware API Key (for images) WordPress user ID (admin, default is 1) Telegram bot (optional) Discord webhook (optional) --- 🛠️ Customize It Further Change writing tone or prompt in ✍️ Compose SEO Article Content node Cofigure the category Swap free LLMs (Claude, Gemini, GPT, etc.) in OpenRouter settings Adjust schedule (every 6h, daily, etc.) Extend alerts (email, Slack, Notion) --- 🧠 Nodes Used Schedule Trigger Telegram Trigger @n8n/n8n-nodes-langchain (OpenRouter) WordPress Node HTTP Request (Runware API) Discord Webhook Sticky Notes (Documentation inside canvas) --- 📞 Support Created by: Khaisa Studio Tag: youtube, summarizer, telegram, openai Category: AI Automation, Video Tools Need a custom? contact me on LinkedIn or Web
By Khairul MuhtadinAnalyze and chat with XML files using GPT and LangChain
This workflow allows interactive conversation with the content of an XML file using OpenAI and LangChain. It fetches an XML feed from a specified URL, parses the XML, and enables an AI agent to respond to user queries based on the XML's structure and data. What It Does: Triggered via webhook or manual execution. Sets and fetches an external XML feed URL. Parses the XML into a readable format. Connects OpenAI GPT via LangChain for intelligent chat. AI agent answers questions like extracting nodes, attributes, or structure from the XML.
By Sarfaraz Muhammad SajibAutomate Shopify Product Posting to Social Media with GPT-4.1-Mini & Data Tracking
How it works This workflow listens for new products in Shopify and transforms the product data into polished social media content. It generates captions and hashtags using an AI model, then posts the product to Instagram and Facebook using the Facebook Graph API. It logs every post to Google Sheets and sends a confirmation message to Discord. The flow ensures consistent publishing across all platforms with automated formatting and tracking. Step-by-step Trigger on Shopify product creation Shopify Trigger – Activates when a new product is added to the store. Prepare product data parse product data – Extracts product name, price, description, URL, image, and timestamp. Generate caption and hashtags Generate caption and hashtags – Uses an AI model to craft a caption and produce 10 relevant hashtags. Configure posting parameters Set Configuration – Stores access tokens, platform IDs, caption text, hashtags, and image URL. Publish to Instagram Create Instagram Media Container – Sends the image and caption to create a media container. Wait for Processing – Waits for the container to finish processing. Publish Instagram Media – Publishes the processed container to the Instagram feed. Publish to Facebook Download Image for Facebook – Downloads the product image from Shopify. Post to Facebook Page – Uploads the image with the caption and hashtags to the Facebook Page. Merge publishing results Merge – Combines responses from Instagram and Facebook for unified logging. Log post to Google Sheets Log Product Post Data – Appends product info, caption, and hashtags to a spreadsheet. Notify via Discord Notify Discord About Post – Sends a message summarizing the published product. Why use this? Ensures every new Shopify product is promoted instantly across major social platforms. Eliminates manual posting and caption creation with reliable automation. Maintains centralized logging for auditing, tracking, or analytics. Provides real-time team notifications to confirm successful posts. Reduces errors and keeps brand messaging consistent across channels.
By Avkash KakdiyaTranslate documents to multiple languages with Google Drive and DeepL
Who's it for This workflow is perfect for content creators, international teams, and businesses that need to translate documents into multiple languages automatically. Whether you're localizing documentation, translating marketing materials, or creating multilingual content, this workflow saves hours of manual work. What it does Automatically monitors a Google Drive folder for new documents (PDF, DOCX, TXT, or Markdown) and translates them into multiple languages using DeepL API. Each translated document is saved with a language-specific filename (e.g., documenten.pdf, documentzh.pdf) in a designated folder. You receive an email notification when all translations are complete. How it works Monitors a Google Drive folder for new files Detects file format (PDF/DOCX/TXT/Markdown) and extracts text Translates the content into your chosen languages (default: English, Chinese, Korean, Spanish, French, German) Saves translated files with language codes in the filename Sends an email notification with translation summary Optional: Records translation history in Notion database Set up instructions Requirements Google Drive account (for file storage) DeepL API key (free tier: 500,000 characters/month) Gmail account (for notifications) Notion account (optional, for tracking translation history) Setup steps Create Google Drive folders: Create a "Source" folder for original files Create a "Translated" folder for output Copy the folder IDs from the URLs Get DeepL API key: Sign up at DeepL API Copy your API key Configure the workflow: Open the "Configuration (Edit Here)" node (yellow node) Replace folder IDs with your own Set your notification email Choose target languages Set up credentials: Add Google Drive OAuth2 credentials Add DeepL API credentials Add Gmail OAuth2 credentials Activate the workflow and upload a test file! Customization options Change target languages: Edit the targetLanguages array in the Configuration node (supports 30+ languages) Adjust polling frequency: Change trigger from "every minute" to hourly or daily for batch processing Enable Notion tracking: Set enableNotion to true and provide your database ID Add more file formats: Extend the Switch node to handle additional file types Filter by file size: Add conditions to skip files larger than a certain size Supported languages EN (English), ZH (Chinese), KO (Korean), JA (Japanese), ES (Spanish), FR (French), DE (German), IT (Italian), PT (Portuguese), RU (Russian), and 20+ more. Performance Short files (1 page): ~30 seconds for 6 languages Medium files (10 pages): ~2 minutes for 6 languages Large files (100 pages): ~15 minutes for 6 languages Technical Details Trigger: Google Drive folder monitoring (1-minute polling) Translation: DeepL API with automatic source language detection Loop implementation: Split Out + Aggregate pattern for parallel translation Error handling: Catches API failures and sends email alerts Storage: Original file format preserved in translated outputs Notes DeepL free tier provides 500,000 characters/month (approximately 250 pages) For high-volume translation, consider upgrading to DeepL Pro The workflow creates new files instead of overwriting, preserving translation history Google Docs are automatically converted to the appropriate format before translation What You'll Learn This workflow demonstrates several n8n patterns: File format detection and routing (Switch node) Loop implementation with Split Out + Aggregate Binary data handling for file operations Conditional logic with IF nodes (optional features) Cross-node data references Error handling and user notifications Perfect for learning automation best practices while solving a real business problem!
By Daiki TakayamaEmail list validation and cleanup with Google Sheets and VerifiEmail
🧼 Email Subscription Cleaner A fully automated workflow that cleans, validates, and restructures your subscriber list using Google Sheets and VerifiEmail. Perfect for marketers, SaaS teams, or anyone maintaining an email database. --- 🚀 What This Workflow Does In one automated run, it: Accepts a cleaning request via Webhook Extracts list settings, preferences, and options Fetches all subscribers from Google Sheets Normalizes emails and formats subscriber fields Performs real-time verification using VerifiEmail Classifies each subscriber as: remove (invalid / disposable / role), keep (valid & safe), tag (special cases) Deletes bad emails directly from the source sheet Stores all valid emails in a clean, curated CleanSubscribers sheet Returns a structured JSON summary to the caller --- 🔍 Why This Template Is Useful Improves deliverability Removes spam traps, bots, disposable domains Cleans and reorganizes messy lists Reduces bounce rates Builds a healthier mailing list for campaigns No CSV download/upload required — runs directly on Google Sheets --- 🧠 How It Works (In Simple Steps) Webhook receives batch-clean request Extract Inputs parses settings (listId, priority, options) Fetch Subscribers reads rows from Google Sheets Normalize each subscriber’s fields Validate Email quality (MX check, disposable, provider data) Merge subscriber info + validation results Classify each subscriber into keep/remove/tag Clean Up: remove → deletes the row keep → appends to clean list Respond with a clean JSON summary Fast, simple, reliable — perfect for weekly or on-demand cleanup. --- 🔧 Setup Required Connect 2 credentials: Google Sheets (read / delete / append) VerifiEmail (API key) Update: Sheet name (SubscriberList) Clean list sheet (CleanSubscribers) Optional tag rules in “Classify Email” No other configuration needed. --- 🏁 Perfect For Newsletters Marketing teams Event lists SaaS mailing lists CRM cleanup Lead verification Removing dead/invalid emails automatically --- 🏷️ Tags email, cleanup, validation, google-sheets, verifiemail, marketing, automation, list-cleaner, webhook
By Jitesh Dugar