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Want to check out all my flows, follow me on: https://maxmitcham.substack.com/ https://www.linkedin.com/in/max-mitcham/ Email Manager - Intelligent Gmail Classification This automation flow is designed to automatically monitor incoming Gmail messages, analyze their content and context using AI, and intelligently classify them with appropriate labels for better email organization and prioritization. How It Works (Step-by-Step): 1. Gmail Monitoring (Trigger) Continuously monitors your Gmail inbox: `` Polls for new emails every minute Captures all incoming messages automatically Triggers workflow for each new email received ` 2. Email Content Extraction Retrieves complete email details: ` Full email body and headers Sender information and recipient lists Subject line and metadata Existing Gmail labels and categories Email threading information (replies/forwards) ` 3. Email History Analysis AI agent checks relationship context: ` Searches for previous emails from the same sender Checks sent folder for prior outbound correspondence Determines if this is a first-time contact (cold email) Analyzes conversation thread history ` 4. Intelligent Classification Agent Advanced AI categorization using: ` Claude Sonnet 4 for sophisticated email analysis Context-aware classification based on email history Content analysis for intent and urgency detection Header analysis for automated vs. human-sent emails ` 5. Smart Label Assignment Automatically applies appropriate Gmail labels: ` To Respond: Requires direct action/reply FYI: For awareness, no action needed Notification: Service updates, policy changes Marketing: Promotional content and sales pitches Meeting Update: Calendar-related communications Comment: Document/task feedback ` 6. Structured Processing Ensures consistent labeling: ` Uses structured output parsing for reliability Returns specific Label ID for Gmail integration Applies label automatically to the email Maintains classification accuracy ` Tools Used: ` n8n: Workflow automation platform Gmail API: Email monitoring and label management Anthropic Claude: Advanced email content analysis Gmail Tools: Email history checking and search Structured Output Parser: Consistent AI responses ` Key Features: ` Real-time email monitoring and classification Context-aware analysis using email history Intelligent cold vs. warm email detection Multiple classification categories for organization Automatic Gmail label application Header analysis for automated email detection Thread-aware conversation tracking ` Ideal Use Cases: ` Busy executives managing high email volumes Sales professionals prioritizing prospect communications Support teams organizing customer inquiries Marketing teams filtering promotional content Anyone wanting automated email organization Teams needing consistent email prioritization ``
by Max MitchamThis workflow contains community nodes that are only compatible with the self-hosted version of n8n. This workflow automatically monitors keyword rankings across search engines to track SEO performance and identify optimization opportunities. It saves you time by eliminating the need to manually check keyword positions and provides comprehensive ranking data for strategic SEO decision making. Overview This workflow automatically scrapes search engine results pages (SERPs) to track keyword rankings, competitor positions, and search features. It uses Bright Data to access search results without restrictions and AI to intelligently parse ranking data, track changes, and identify SEO opportunities. Tools Used n8n: The automation platform that orchestrates the workflow Bright Data: For scraping search engine results without being blocked OpenAI: AI agent for intelligent ranking analysis and SEO insights Google Sheets: For storing keyword ranking data and tracking changes How to Install 1. Import the Workflow: Download the .json file and import it into your n8n instance 2. Configure Bright Data: Add your Bright Data credentials to the MCP Client node 3. Set Up OpenAI: Configure your OpenAI API credentials 4. Configure Google Sheets: Connect your Google Sheets account and set up your ranking tracking spreadsheet 5. Customize: Define target keywords and ranking monitoring parameters Use Cases SEO Teams: Track keyword performance and identify ranking improvements Content Marketing: Monitor content ranking success and optimization needs Competitive Analysis: Track competitor keyword rankings and strategies Digital Marketing: Measure organic search performance and ROI Connect with Me Website: https://www.nofluff.online YouTube: https://www.youtube.com/@YaronBeen/videos LinkedIn: https://www.linkedin.com/in/yaronbeen/ Get Bright Data: https://get.brightdata.com/1tndi4600b25 (Using this link supports my free workflows with a small commission) #n8n #automation #keywordrankings #seo #searchrankings #brightdata #webscraping #seotools #n8nworkflow #workflow #nocode #ranktracking #keywordmonitoring #seoautomation #searchmarketing #organicseo #seoresearch #rankinganalysis #keywordanalysis #searchengines #seomonitoring #digitalmarketing #serp #keywordtracking #seoanalytics #searchoptimization #rankingreports #keywordresearch #seoinsights #searchperformance
by Yaron BeenGood to know: This workflow automatically processes incoming emails (you can filter them base on your needs) and creates concise AI-powered summaries, then logs them to a Google Sheets spreadsheet for easy tracking and analysis. Who is this for? Business professionals who receive many emails and need quick summaries Customer service teams tracking email communications Project managers monitoring email correspondence Anyone who wants to automatically organize and summarize their email communications What problem is this workflow solving? This workflow solves the problem of email overload by automatically reading incoming emails, generating concise summaries using AI, and organizing them in a structured format. It eliminates the need to manually read through every email to understand the key points and maintains a searchable record of communications. What this workflow does: Monitors your Gmail inbox for new emails Filters emails based on specific criteria (sender validation) Extracts key information (sender, date, subject, content) Uses AI to generate concise summaries of email content Automatically logs all data including the AI summary to a Google Sheets spreadsheet How it works: 1Gmail trigger monitors for new emails at specified intervals 2Email data is processed and formatted using JavaScript 3A conditional check validates the sender 4AI agent (powered by Groq's language model) reads the email content and generates a summary 5All information is automatically appended to a Google Sheets document How to use: Set up Gmail OAuth2 credentials in n8n Configure Google Sheets OAuth2 credentials Set up Groq API credentials for AI processing Create a Google Sheets document and update the document ID Customize the sender validation criteria as needed Activate the workflow Requirements: n8n instance (cloud or self-hosted) Gmail account with OAuth2 access Google Sheets account AI API Basic understanding of n8n workflow Customizing this workflow: Modify the Gmail trigger filters to target specific labels or criteria Adjust the sender validation logic in the conditional node Customize the AI prompt to change summary style or focus Add additional data fields to the Google Sheets output Change the polling frequency for checking new emails Switch to different AI models by replacing the Groq node
by ARREDescription This workflow automates the process of scraping the latest discussions from HackerNews, transforming raw threads into human readable content using Google Gemini, and exporting the final content into a well-formatted Google Doc. Overview This n8n workflow is responsible for extracting trending posts from the HackerNews API. It loops through each item, performs HTTP data extraction, utilizes Google Gemini to generate human-readable insights, and then exports the enriched content into Google Docs for distribution, archiving, or content creation. Who this workflow is for Tech Newsletter Writers: Automate the collection and summarization of trending HackerNews posts for inclusion in weekly or daily newsletters. Content Creators & Bloggers: Quickly generate structured summaries and insights from HackerNews threads to use as inspiration or supporting content for blog posts, videos, or social media. Startup Founders & Product Builders: Monitor HackerNews for discussions relevant to your niche or competitors, and keep a pulse on the community’s opinions. Investors & Analysts: Surface early signals from the tech ecosystem by identifying what’s trending and how the community is reacting. Researchers & Students: Analyze popular discussions and emerging trends in technology, programming, and startups—enriched with AI-generated insights. Digital Agencies & Consultants: Offer HackerNews monitoring and insight reports as a value-added service to clients interested in the tech space. Tools Used n8n: The core automation engine that manages the trigger, transformation, and export. HackerNews API: Provides access to trending or new HN posts. Google Gemini: Enriches HackerNews content with structured insights and human-like summaries. Google Docs: Automatically creates and updates a document with the enriched content, ready for sharing or publishing. How to Install Import the Workflow: Download the .json file and import it into your n8n instance. Set Up HackerNews Source: Choose whether to use the HN API (via HTTP Request node) or RSS Feed node. Configure Gemini API: Add your Google Gemini API key and design the prompt to extract pros/cons, key themes, or insights. Set Up Google Docs Integration: Connect your Google account and configure the Google Docs node to create/update a document. Test and Deploy: Run a test job to ensure data flows correctly and outputs are formatted as expected. Use Cases Tech Newsletter Authors: Generate ready-to-use summaries of trending HackerNews threads. Startup Founders: Stay informed on key discussions, product launches, and community feedback. Investors & Analysts: Spot early trends, technical insights, and startup momentum directly from HN. Researchers: Track community reactions to new technologies or frameworks. Content Creators: Use the enriched data to spark blog posts, YouTube scripts, or LinkedIn updates. Connect with Me Email: ranjancse@gmail.com LinkedIn: https://www.linkedin.com/in/ranjan-dailata/ Get Bright Data: Bright Data (Supports free workflows with a small commission) #n8n #automation #hackernews #contentcuration #aiwriting #geminiapi #googlegemini #techtrends #newsletterautomation #googleworkspace #rssautomation #nocode #structureddata #webscraping #contentautomation #hninsights #aiworkflow #googleintegration #webmonitoring #hnnews #aiassistant #gdocs #automationtools #gptlike #geminiwriter
by Ranjan DailataThis workflow contains community nodes that are only compatible with the self-hosted version of n8n. This workflow automatically monitors competitor pricing changes and website updates to keep you informed of market movements. It saves you time by eliminating the need to manually check competitor websites and provides alerts only when actual changes occur, preventing information overload. Overview This workflow automatically scrapes competitor pricing pages (like ClickUp) and compares current pricing with previously stored data. It uses Bright Data to access competitor websites without being blocked and AI to intelligently extract pricing information, updating your tracking spreadsheet only when changes are detected. Tools Used n8n: The automation platform that orchestrates the workflow Bright Data: For scraping competitor websites without being blocked OpenAI: AI agent for intelligent pricing data extraction and parsing Google Sheets: For storing and comparing historical pricing data How to Install 1. Import the Workflow: Download the .json file and import it into your n8n instance 2. Configure Bright Data: Add your Bright Data credentials to the MCP Client node 3. Set Up OpenAI: Configure your OpenAI API credentials 4. Configure Google Sheets: Connect your Google Sheets account and set up your pricing tracking spreadsheet 5. Customize: Set your competitor URLs and pricing monitoring schedule Use Cases Product Teams: Monitor competitor feature and pricing changes for strategic planning Sales Teams: Stay informed of competitor pricing to adjust sales strategies Marketing Teams: Track competitor messaging and positioning changes Business Intelligence: Build comprehensive competitor analysis databases Connect with Me Website: https://www.nofluff.online YouTube: https://www.youtube.com/@YaronBeen/videos LinkedIn: https://www.linkedin.com/in/yaronbeen/ Get Bright Data: https://get.brightdata.com/1tndi4600b25 (Using this link supports my free workflows with a small commission) #n8n #automation #competitoranalysis #pricingmonitoring #brightdata #webscraping #competitortracking #marketintelligence #n8nworkflow #workflow #nocode #pricetracking #businessintelligence #competitiveanalysis #marketresearch #competitormonitoring #pricingdata #websitemonitoring #competitorpricing #marketanalysis #competitorwatch #pricingalerts #businessautomation #competitorinsights #markettrends #pricingchanges #competitorupdates #strategicanalysis #marketposition #competitiveintelligence
by Yaron BeenHow it Works This workflow automatically monitors your Google Ads campaigns every day, analyzing performance with AI-powered scoring to identify scaling opportunities and catch issues before they drain your budget. Each morning at 9 AM, it fetches all active campaign data including clicks, impressions, conversions, costs, and conversion rates from your Google Ads account. The AI analysis engine evaluates four critical dimensions: CTR (click-through rate) to measure ad relevance, conversion rate to assess landing page effectiveness, cost per conversion to evaluate profitability, and traffic volume to identify scale-readiness. Each campaign receives a performance score (0-100 points) and is automatically categorized as Excellent (75+), Good (55-74), Fair (35-54), or Underperforming (0-34). High-performing campaigns trigger instant Slack alerts to your PPC team with detailed scaling recommendations and projected ROI improvements, while underperforming campaigns generate urgent alerts with specific optimization actions. Every campaign is logged to your Google Sheets dashboard with daily metrics, and the system generates personalized email reports—action-oriented scaling plans for top performers and troubleshooting guides for campaigns needing attention. The entire analysis takes minutes, providing your team with daily intelligence reports that would otherwise require hours of manual spreadsheet work and data analysis. --- Who is this for? PPC managers and paid media specialists drowning in campaign data and manual reporting Marketing agencies managing multiple client accounts needing automated performance monitoring E-commerce brands running high-spend campaigns who can't afford budget waste Growth teams looking to scale winners faster and pause losers immediately Anyone spending $5K+ monthly on Google Ads who needs data-driven optimization decisions --- Setup Steps Setup time: Approx. 15-25 minutes (credential configuration, dashboard setup, alert customization) Requirements: Google Ads account with active campaigns Google account with a tracking spreadsheet Slack workspace SMTP email provider (Gmail, SendGrid, etc.) Create a Google Sheets dashboard with two tabs: "Daily Performance" and "Campaign Log" with appropriate column headers. Set up these nodes: Schedule Daily Check: Pre-configured to run at 9 AM daily (adjust timing if needed). Fetch Google Ads Data: Connect your Google Ads account and authorize API access. AI Performance Analysis: Review scoring thresholds (CTR, conversion rate, cost benchmarks). Route by Performance: Automatically splits campaigns into high-performers vs. issues. Update Campaign Dashboard: Connect Google Sheets and select your "Daily Performance" tab. Log All Campaigns: Select your "Campaign Log" tab for historical tracking. Slack Alerts: Connect workspace and configure separate channels for scaling opportunities and performance issues. Generate Action Plan: Customize email templates with your brand voice and action items. Email Performance Report: Configure SMTP and set recipient email addresses. Credentials must be entered into their respective nodes for successful execution. --- Customization Guidance Scoring Weights: Adjust point values for CTR (30), conversion rate (35), cost efficiency (25), and volume (10) in the AI Performance Analysis node based on your business priorities. Performance Thresholds: Modify the 75-point Excellent threshold and 55-point Good threshold to match your campaign quality distribution and industry benchmarks. Benchmark Values: Update CTR benchmarks (5% excellent, 3% good, 1.5% average) and conversion rate targets (10%, 5%, 2%) for your industry. Alert Channels: Create separate Slack channels for different alert types or route critical alerts to Microsoft Teams, Discord, or SMS via Twilio. Email Recipients: Configure different recipient lists for scaling alerts (executives, growth team) vs. optimization alerts (campaign managers). Schedule Frequency: Change from daily to hourly monitoring for high-spend campaigns, or weekly for smaller accounts. Additional Platforms: Duplicate the workflow structure for Facebook Ads, Microsoft Ads, or LinkedIn Ads with platform-specific nodes. Budget Controls: Add nodes to automatically pause campaigns exceeding cost thresholds or adjust bids based on performance scores. --- Once configured, this workflow will continuously monitor your ad spend, identify opportunities worth thousands in additional revenue, and alert you to issues before they waste your budget—transforming manual reporting into automated intelligence. --- Built by Daniel Shashko Connect on LinkedIn
by Daniel ShashkoWho it's for This workflow is for professionals and small business owners who receive a high volume of emails and want to automate triage, labeling, and draft reply generation — without losing the human touch before sending. How it works 1. A Gmail trigger polls the inbox every minute for new unread emails and retrieves the current date. 2. The full email message is fetched, and any existing processing labels are stripped from the thread. 3. A Gemini 2.5 Pro AI Agent reads the email (and the full thread via a Gmail Thread tool), checks Google Calendar for availability, then classifies the email into one of six categories (Urgent, Reply, Read, Notification, Newsletter, Invoice) and drafts an HTML reply when needed. 4. A Switch node routes the output: emails requiring a reply (Urgent or Reply) pass through a JavaScript node that appends an HTML signature before saving the message as a Gmail draft. 5. All paths converge to fetch the matching Gmail label, filter for validity, apply it to the thread, and mark the message as unread so it surfaces for human review. How to set up [ ] Connect a Gmail OAuth2 credential to all Gmail nodes (trigger, fetch, remove label, draft, label, mark unread) [ ] Connect a Google Gemini (PaLM) API credential to the Gemini Chat Model node [ ] Connect a Google Calendar OAuth2 credential to the Google Calendar Tool node [ ] Configure the Gmail Trigger label/filter to match your inbox setup [ ] Update the label IDs in Remove Label from Thread, Get label for response, and Labelliser to match your Gmail labels [ ] Customize the HTML signature in the Build HTML Signature code node Requirements Gmail account with OAuth2 access Google Gemini (PaLM) API key Google Calendar account How to customize Adjust the AI Agent's system prompt to change tone, add new label categories, or modify the reply structure. Extend the Switch node with additional branches (e.g., forward to a team member, archive automatically, create a CRM task). Replace the Gmail draft step with a direct send for fully automated responses on low-risk categories like Notifications.
by Allan VaccariziSetup & Instructions — fluidX: Create Session, Analyze & Notify Goal: This workflow demonstrates the full fluidX THE EYE integration — starting a live session, inviting both the customer (via SMS) and the service agent (via email), and then accessing the media (photos and videos) created during the session. Captured images are automatically analyzed with AI, uploaded to an external storage (such as Google Drive), and a media summary for the session is generated at the end. The agent receives an email with a link to join the live session. The customer receives an SMS with a link to start sharing their camera. Once both are connected, the agent can view the live feed, and the system automatically stores uploaded images and videos in Google Drive. When the session ends, the workflow collects all media and creates a complete AI-powered session summary (stored and updated in Google Drive). Below is an example screenshot from the customer’s phone: --- Prerequisites Developer account: https://live.fluidx.digital (activate the TEST plan, €0) API docs (Swagger): fluidX.digital API --- Required Credentials 1 fluidX API key (HTTP Header Auth) • Credential name in n8n: fluidx API key • Header name: x-api-key • Header value: YOUR_API_KEY 2 SMTP account (for outbound email) • Credential name in n8n: SMTP account • Configure host, port, username, and password according to your provider • Enable TLS/SSL as required 3 Google Drive account • Used to store photos, videos, and automatically update the session summary files. 4 OpenAI API (for AI analysis & summary) •Used in the Analyze Images (AI) and Generate Summary parts of the workflow. • Credential type: OpenAI • Credential name (suggested): OpenAI account • API Key: your OpenAI API key • Model: e.g. gpt-4.1, gpt-4o, or similar (choose in the OpenAI node settings) --- Configuration (in the “Set Config” node) BASE_URL: https://live.fluidx.digital company / project / billingcode / sku: adjust as needed emailAgent: set before running (empty in template) phoneNumberUser: set before running (empty in template) --- Flow Overview Form Trigger → Create Session → Set Session Vars → Send SMS (User) → Send Email (Agent) → Monitor Media → Analyze Images (AI) → Upload Files to Google Drive → Generate Summary → Update Summary File The workflow starts automatically when a Form submission is received. Users enter the customer’s phone number and agent’s email, and the system creates a new fluidX THE EYE session. As media is uploaded during the session, the workflow automatically retrieves, stores, analyzes, and summarizes it — providing a complete end-to-end automation example for remote inspection, support, or field-service use cases. --- Notes Do not store real personal data inside the template. Manage API keys and secrets via n8n Credentials or environment variables. Log out of https://live.fluidx.digital in the agent’s browser before testing, to ensure a clean invite flow and session creation.
by Olaf TitelDaily Crypto AI Market Insight to Telegram This workflow generates a daily AI-powered crypto market insight and sends it to Telegram using Binance public market data, the Crypto Fear & Greed Index, and Google Gemini. It fetches BTC/USDT daily OHLCV data, calculates technical indicators, builds a structured analysis payload, asks Gemini for a buy/hold/sell confidence breakdown, and delivers the result as a clean Telegram report. It is useful for traders, builders, and crypto enthusiasts who want an automated daily technical summary without manually checking charts. Common use cases: Send a daily BTC market insight to your Telegram Monitor crypto technical indicators automatically Build a personal AI crypto analyst bot Create a lightweight daily trading signal workflow Learn how to combine market data, technical indicators, LLMs, and Telegram in n8n How it works Starts from a Schedule Trigger, which you can customize Sets the trading pair, for example BTCUSDT Fetches 300 daily OHLCV candles from Binance public API Normalizes Binance candle data into readable fields Fetches the latest market price and merges it into the latest candle Fetches the Crypto Fear & Greed Index from Alternative.me Calculates EMA(20), EMA(50), EMA(100), RSI(14), MACD histogram, ADX(14), +DI, and -DI Builds a structured technical payload Sends the payload to Google Gemini Parses Gemini’s response into structured JSON Formats the result into a Telegram message Sends the AI-generated insight to Telegram Setup steps Choose your trading pair in the Set Trading Pair node Connect your Google Gemini credentials Connect your Telegram credentials Set your Telegram chat ID in the Telegram node Adjust the Schedule Trigger if you want a different run time Test the workflow manually Activate the workflow Notes This workflow uses Binance public API data and does not require a Binance API key. The AI insight is generated only from the provided technical payload and should not be treated as financial advice. Need Help? Have questions or want to connect? Reach me on LinkedIn.
by Atha Ahsan Xavier Haris