Automatically delete spam emails in Gmail on schedule
Who is this for? If you hate SPAM emails or don't want to clean them up frequently. What problem is this workflow solving? It automatically deletes SPAM emails for you, so you don't have to. Save a bit of your time. What this workflow does You can specify when to execute the workflow: daily, weekly, or monthly. Setup Select the preferred execution time Configure credentials for Gmail OAuth2 How to customize this workflow to your needs There's no need. It just works!
By Bao Duy NguyenAdd a task to Google Tasks
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By sshaligrGenerate personalized cold email icebreakers with GPT-4 Mini, Apify & LinkedIn
This n8n workflow scrapes LinkedIn data for your leads, feeds it into a GPT-4 AI agent, and generates laser-targeted, personalized icebreakers you can drop into your cold email campaigns. It automates the personalization process at scale — saving you hours of research while sounding human and thoughtful. Step-by-Step Setup (Beginner Friendly) Step 1: Prepare Your Leads (Input Sheet) Get your lead list based on your industry and niche from Apollo (free) Copy the entire link Go to Apify and use this Apollo Scraper to scrape the leads. Download the result as CSV and upload the CSV to Google Sheets Add a column at the end of the Sheet. Name this column as "status". Mark the entire column (every row) as "un-enriched" (this is important) Connect your Google Sheets account to n8n The workflow will pull leads from this sheet where status = un-enriched Step 2: Set Your Credentials Google Sheets: Connect your account to n8n using OAuth2 OpenAI: Add your OpenAI API credentials Apify: Visit Apify Console to get your Apify API key Use this Apify LinkedIn Profile Scraper and copy the actorID --> get it from the URL : https://console.apify.com/:actorID/input Paste both Apify API Key and ActorID into the “Set Apify Tokens” node Step 3: Customize the AI Agent In the node “Generate Personalized Icebreaker”, adjust the system prompt. Update it with your own niche, offer, tone, and insights Keep the JSON output format exactly as shown. The rest of the workflow depends on it Step 4: Run the Workflow Click "Execute Workflow" The system will: -- Pull all unenriched leads -- Filter out entries without email -- Scrape LinkedIn profiles using Apify -- Use GPT-4 to write a short, personalized icebreaker -- Save the result to a separate “Enriched” sheet -- Mark those leads as “enriched” in your original sheet How It Works Behind the Scenes Manual Trigger starts the workflow Get Raw Leads from a Google Sheet (filter = un-enriched) Filter for Valid Emails (hasEmail?) Loop Over Leads Set Apify API credentials Call Apify’s LinkedIn Scraper using each lead's LinkedIn URL Aggregate the scraped data Simplify fields for AI prompt Call OpenAI GPT-4.1 Mini with structured, data-rich prompt to generate icebreaker Append results to Enriched Sheet Update original list’s status to prevent reprocessing Loop continues to the next lead Best Practices for Successful Use Clean your leads: Remove unnecessary columns from your Google Sheet raw lead list Throttle large batches: The Apify actor and OpenAI calls may hit rate limits. Process in small batches. Customize prompt deeply: The better your AI instructions, the more believable your icebreakers will sound. Use shortened company names and local slang: The system prompt already does this — keep it. Avoid fluff: Keep the tone Spartan, specific, and real. Ideal Use Cases Cold email campaigns for SMB SaaS, agency offers, B2B sales Personalized intros for LinkedIn DMs Data enrichment for lead gen automation Integrating with tools like Instantly.ai, Smartlead, or Mailshake Demo Link Watch the full walkthrough and see it in action: 👉 Watch me build this LIVE on YouTube
By Erfan MostafizAutomated property market reports with Bright Data & n8n
Description This workflow automatically generates comprehensive property market reports by scraping real estate listings and market data from multiple sources. It helps real estate professionals save time and provide data-driven insights to clients without manual research. Overview This workflow automatically generates property market reports by scraping real estate listings and market data. It uses Bright Data to access multiple real estate websites and compiles the data into comprehensive reports. Tools Used n8n: The automation platform that orchestrates the workflow. Bright Data: For scraping real estate websites and property data without getting blocked. Spreadsheets/Databases: For storing and analyzing property data. Document Generation: For creating professional PDF reports. How to Install Import the Workflow: Download the .json file and import it into your n8n instance. Configure Bright Data: Add your Bright Data credentials to the Bright Data node. Set Up Data Storage: Configure where you want to store the property data. Customize: Specify locations, property types, and report format. Use Cases Real Estate Agents: Generate market reports for clients. Property Investors: Track market trends in target areas. Market Analysts: Automate data collection for property market analysis. --- 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 realestate propertymarket brightdata marketreports propertyanalysis realestatedata markettrends propertyinvestment n8nworkflow workflow nocode realestateanalysis propertyreports realestateintelligence marketresearch propertyscraping realestateautomation investmentanalysis propertytrends datadriven realestatetech propertyinsights marketanalysis realestateinvesting
By Yaron BeenQuickBooks Online MCP Server - add QuickBooks tool to any AI (like Claude)
Video Introduction [](https://youtu.be/mprQ4CY3yn0) Want to automate your inbox or need a custom workflow? 📞 Book a Call | 💬 DM me on Linkedin --- What This Workflow Does This workflow creates an AI-powered chatbot that can answer natural language questions about your QuickBooks Online data. Using OpenAI's GPT models and the Model Context Protocol (MCP), the agent can retrieve customer information, analyze balances, and provide insights through a conversational interface. Users can simply ask questions like "How many customers do we have?" or "What's our total customer balance?" and get instant answers from live QuickBooks data. Key Features Natural language queries: Ask questions about your QuickBooks data in plain English MCP architecture: Uses Model Context Protocol to manage tools efficiently, making it easy to expand with additional QuickBooks operations Public chat interface: Share the chatbot URL with team members who need QuickBooks insights without direct access Real-time data: Queries live QuickBooks data for up-to-date answers Common Use Cases Customer service teams checking account balances without logging into QuickBooks Sales teams quickly looking up customer information Finance teams getting quick answers about customer data Managers monitoring key metrics through conversational queries Setup Requirements QuickBooks Developer Account: Register at developer.intuit.com and create an app with Accounting scope permissions. You'll receive a Client ID and Client Secret. Configure OAuth: In your Intuit Developer dashboard, add the redirect URL provided by n8n when creating QuickBooks credentials. Set the environment to Sandbox for testing, or complete Intuit's app approval process for Production use. OpenAI API: Add your OpenAI API credentials to power the chat model. The workflow uses GPT-4.1-mini by default, but you can select other models based on your performance and cost requirements. Chat Access: The chat trigger is set to public by default. Configure access settings based on your security requirements before sharing the chat URL.
By Milan Vasarhelyi - SmoothWorkWeekly meal planner: AI-generated grocery lists with price comparison to WhatsApp
Weekly Meal Planner with Auto Grocery Lists using Fillout, FluentC AI & WhatsApp 🍽️ Automate Your Weekly Family Meal Planning with AI and WhatsApp Say goodbye to mealtime stress. This workflow automates your entire weekly meal planning process — from family input to a WhatsApp-sent grocery list — using AI and no-code tools. Perfect for: Homemakers managing household routines Solopreneurs balancing business and family Parents who want to reduce decision fatigue The workflow: 🗳️ Collects meal preferences via a Fillout form 🤖 Uses FluentC AI to generate a 5-day dinner plan and categorized grocery list 🛒 Checks prices using Scrappey (Walmart, Target, etc.) 📄 Generates a printable PDF grocery list with PDF4me 📲 Sends the list to your spouse or family group via WhatsApp using WhatsAble Fully automated, beginner-friendly, and designed to bring calm to your home. --- Setup Requirements Before using this workflow, ensure you have the following accounts and tools: | Service | Purpose | Free Tier Available? | |--------|--------|----------------------| | Fillout | Collect family meal preferences | Yes | | FluentC AI or OpenAI | AI-powered meal and grocery list generation | Yes (if using OpenAI) | | Scrappey | Scrape real-time prices from stores | Yes (150 free scrapes) | | PDF4me | Generate clean, printable PDFs | Yes | | WhatsAble | Send WhatsApp messages via API | Yes | | n8n | Orchestrate the automation | Yes | 💡 You’ll need API keys for: FluentC, Scrappey, PDF4me, WhatsAble 🔐 All credentials should be stored securely in n8n --- Step-by-Step Setup Instructions Create Your Fillout Form Your form must include the following fields to work with this workflow: | Field Name | Type | Example | |----------|------|--------| | Meal Choices | Multiple Choice or Long Text | “Pasta, Tacos, Stir Fry” | | Dietary Notes | Short Text (Optional) | “No dairy, vegetarian” | | Preferred Days | Checkbox | Mon, Tue, Wed | | Submit Timestamp | Hidden Field | Auto-generated | 📌 Tip: Name your form “Weekly Family Meal Poll” and set it to auto-save responses. 🔗 After publishing, copy the form URL and add it to the Fillout node in n8n. --- Import the Workflow into n8n Go to your n8n dashboard. Click Workflows > Create from JSON. Paste the provided JSON. Click Import. --- Set Up Credentials For each service, go to Credentials > Add New and enter your API key: FluentC AI (or OpenAI) Scrappey PDF4me WhatsAble Fillout 🔐 Never hardcode keys — always use n8n’s credential system. --- Configure the AI Prompt In the FluentC: Generate Meal Plan node: Edit the prompt to include dietary needs and output structure: text Based on these meal preferences: {{ $json["Meal Choices"] }}. Create a 5-day dinner plan (Mon-Fri) with simple, family-friendly recipes. Then generate a categorized grocery list. Consider dietary notes: {{ $json["Dietary Notes"] }}. Use a warm, friendly tone. Output format: { "mealPlan": "Monday: Creamy Garlic Pasta\nTuesday: Black Bean Tacos...", "groceryList": "Produce: Bell peppers, onions, spinach\nPantry: Canned black beans, pasta, olive oil..." }
By Shelly-Ann Davy