Workflow Templates

This workflow takes Dialpad call information after a call is disconnected and pushes it into Syncro as a ticket timer update, matching the start time and end time provided by Dialpad and a note that containing the contact or customer name and number. > This workflow is part of an MSP collection, The original can be found here: https://github.com/bionemesis/n8nsyncro

This updated workflow will automatically archive your Spotify Discover Weekly tracks to another manually created playlist, without the nuisance of duplicate tracks. It utilizes the latest verisons of n8n's Schedule trigger, Spotify, Switch, Merge, and IF nodes. Special thanks to trey for their original version of the workflow, as well as ihortom for their help with navigating the Switch node's outputs. To use this workflow, you'll need to: Create a playlist for use as the archive playlist within your Spotify account Create and select your Spotify credentials within each Spotify node within the workflow See workflow README for additional information and optional setup steps.

About The LinkedIn Profile Discovery Automation Are you tired of manually searching for LinkedIn profiles or paying expensive data providers for often outdated information? If you spend countless hours trying to find accurate LinkedIn URLs for your prospects or candidates, this automation will change your workflow forever. Just give this workflow the information you have about a contact, and it will automatically augment it with a LinkedIn profile. How to find a LinkedIn Profile Link In this guide, you'll learn how to automate LinkedIn profile link discovery using Airtop's built-in node in n8n. Using this automation, you'll have a fully automated workflow that saves you hours of manual searching while providing accurate, validated LinkedIn URLs. What You'll Need A free Airtop API key A Google Workspace account. If you have a Gmail account, you’re all set Estimated setup time: 10 minutes Understanding the Process This automation leverages the power of intelligent search algorithms combined with LinkedIn validation to ensure accuracy. Here's how it works: Takes your input data (name, company, etc.) and constructs intelligent search queries Utilizes Google search to identify potential LinkedIn profile URLs Validates the discovered URLs directly against LinkedIn to ensure accuracy Returns confirmed, accurate LinkedIn profile URLs Setting Up Your Automation Getting started with this automation is straightforward: Prepare Your Google Sheet Create a new Google Sheet with columns for input data (name, company, domain, etc.) Add columns for the output LinkedIn URL and validation status (see this example) Configure the Automation Connect your Google Workspace account to n8n if you haven't already Add your Airtop API credentials (Optionally) Configure your Airtop Profile and sign-in to LinkedIn in order to validate profile URL's Run Your First Test Add a few test entries to your Google Sheet Run the workflow Check the results in your output columns Customization Options While the default setup uses Google Sheets, this automation is highly flexible: Webhook Integration**: Perfect for integrating with tools like Clay, Instantly, or your custom applications Alternatives**: Replace Google Sheets with Airtable, Notion, or any other tools you already use for more robust database capabilities Custom Output Formatting**: Modify the output structure to match your existing systems Batch Processing**: Configure for bulk processing of multiple profiles Real-World Applications This automation has the potential to transform how we organizations handle profile enrichment. Recruiting Firm Success Story With this automation, a recruiting firm could save hundreds of dollars a month in data enrichment fees, achieve better accuracy, and eliminate subscription costs. They would also be able to process thousands of profiles weekly with near-perfect accuracy. Sales Team Integration A B2B sales team could integrate this automation with their CRM, automatically enriching new leads with validated LinkedIn profiles and saving their SDRs hours per week on manual research. Best Practices To maximize the accuracy of your results: Always include company information (domain or company name) with your search queries Use full names rather than nicknames or initials when possible Consider including location data for more accurate results with common names Implement rate limiting to respect LinkedIn's usage guidelines Keep your input data clean and standardized for best results Use the integrated proxy to navigate more effectively through Google and LinkedIn What's Next? Now that you've automated LinkedIn profile discovery, consider exploring related automations: Automated lead scoring based on LinkedIn profile data Email finder automation using validated LinkedIn profiles Integration with your CRM for automated contact enrichment

How It Works This workflow automates the real estate lead qualification process by leveraging property data from BatchData. The automation follows these steps: When a new lead is received through your CRM webhook, the workflow captures their address information It then makes an API call to BatchData to retrieve comprehensive property details A sophisticated scoring algorithm evaluates the lead based on property characteristics like: Property value (higher values earn more points) Square footage (larger properties score higher) Property age (newer constructions score higher) Investment status (non-owner occupied properties earn bonus points) Lot size (larger lots receive additional score) Leads are automatically classified into categories (high-value, qualified, potential, or unqualified) The workflow updates your CRM with enriched property data and qualification scores High-value leads trigger immediate follow-up tasks for your team Notifications are sent to your preferred channel (Slack in this example) The entire process happens within seconds of receiving a new lead, ensuring your sales team can prioritize the most valuable opportunities immediately.. Who It's For This workflow is perfect for: Real estate agents and brokers looking to prioritize high-value property leads Mortgage lenders who need to qualify borrowers based on property assets Home service providers (renovators, contractors, solar installers) targeting specific property types Property investors seeking specific investment opportunities Real estate marketers who want to segment audiences by property value Home insurance agents qualifying leads based on property characteristics Any business that bases lead qualification on property details will benefit from this automated qualification system. About BatchData BatchData is a comprehensive property data provider that offers detailed information about residential and commercial properties across the United States. Their API provides: Property valuation and estimates Ownership information Property characteristics (size, age, bedrooms, bathrooms) Tax assessment data Transaction history Occupancy status (owner-occupied vs. investment) Lot details and dimensions By integrating BatchData with your lead management process, you can automatically verify and enrich leads with accurate property information, enabling more intelligent lead scoring and routing based on actual property characteristics rather than just contact information. This workflow demonstrates how to leverage BatchData's property API to transform your lead qualification process from manual research into an automated, data-driven system that ensures high-value leads receive immediate attention.

This workflow automates the process of handling conversation transcriptions and distributing key information across your organization. Here's what it does: Trigger: The workflow is initiated via a webhook that receives a transcription (e.g., from a call or meeting). Summarization & Extraction: Using AI, the transcription is summarized, and key information is extracted — such as action items, departments involved, and client details. Department Notifications: The relevant summarized information is automatically routed to specific departments via email based on content classification. CRM Sync: The summarized version is saved to the associated contact or deal in HubSpot for future reference and visibility. *Multi-Channel Alerts: *The summary is also sent via WhatsApp and Slack to keep internal teams instantly informed, regardless of platform. Use Case: Ideal for sales, customer service, or operations teams who manage client conversations and want to ensure seamless cross-departmental communication, documentation, and follow-up. Apps Used: Webhook (Trigger) OpenAI (or other AI/NLP for summarization) HubSpot Email Slack WhatsApp (via Twilio or third-party provider)

This smart automation workflow created by the AI development team at WeblineIndia, helps with the daily collection and storage of weather data. Using the OpenWeatherMap API and Airtable, this solution gathers vital weather details such as temperature, humidity, and wind speed. The automation ensures daily updates, creating a dependable historical record of weather patterns for future reference and analysis. Steps: Set Schedule Trigger Configure a Cron node to trigger the workflow daily, for example, at 7 AM. Fetch Weather Data (HTTP Request) Use the HTTP Request node to retrieve weather data from the OpenWeatherMap API. Include your API key and query parameters (e.g., q=London, unit=metric) to specify the city and desired units. Parse Weather Data Utilize a JSON Parse node to extract key weather details, such as temperature, humidity, and wind speed, from the API response. Store Data in Airtable Use the Airtable node to insert the parsed data into the designated Airtable table. Ensure proper mapping of fields like temperature, humidity, and wind speed. Save and Execute Save the workflow and activate it to ensure weather data is fetched and stored automatically every day. Outcome This robust solution, developed by WeblineIndia, reliably collects and archives daily weather data, providing businesses and individuals with an accessible record of weather trends for analysis and decision-making. About WeblineIndia We specialize in creating custom automation solutions and innovative software workflows to help businesses streamline operations and achieve efficiency. This weather data fetcher is just one example of our expertise in delivering value through technology.

🚫 Email Unsubscribe Handler for Outlook Description This n8n workflow automatically scans recent email replies from your Outlook inbox and identifies unsubscribe requests. If a contact replies with any variation of "unsubscribe" within the past 7 days, the system performs two key actions: Saves the contact’s email address in a BigQuery unsubscribes table (for compliance and tracking). Deletes that contact from the active leads table in BigQuery (to stop future outreach). This flow can be triggered on a schedule (e.g. every 4 hours) or run manually as needed. Key Features 📥 Email Parsing from Outlook: Automatically monitors for replies that contain unsubscribe language. 🧠 Smart Filtering: Captures unsubscribes based on message content, not just subject lines. 🔄 BigQuery Integration: Logs unsubscribed emails and removes them from your leads dataset. 🤝 Connect with Me Description I’m Robert Breen, founder of Ynteractive — a consulting firm that helps businesses automate operations using n8n, AI agents, and custom workflows. I’ve helped clients build everything from intelligent chatbots to complex sales automations, and I’m always excited to collaborate or support new projects. If you found this workflow helpful or want to talk through an idea, I’d love to hear from you. Links 🌐 Website: https://www.ynteractive.com 📺 YouTube: @ynteractivetraining 💼 LinkedIn: https://www.linkedin.com/in/robert-breen 📬 Email: rbreen@ynteractive.com

Description Boost your productivity and keep your Asana workspace clutter-free with this n8n workflow. It automatically scans for tasks whose due dates have passed and reschedules them to the current date, ensuring no important to-dos slip through the cracks. Additionally, any completed tasks in Asana with an overdue date are removed, maintaining a clear, organized task list. Key Benefits Streamline Task Management**: No more manual updates—let the workflow reschedule overdue tasks for you. Optimize Workspace Organization**: Eliminate finished tasks to focus on active priorities and reduce clutter. Save Time and Effort**: Automate repetitive maintenance, freeing you to concentrate on what truly matters. Configuration Steps Add your Asana credentials Schedule the workflow to run at desired intervals (e.g., daily or weekly). Select your Workspace Name and your Assignee Name (user) in the Get user tasks node (Optional) Tailor filtering conditions to match your preferred due-date rules and removal criteria. Activate the workflow and watch your Asana workspace stay up to date and clutter-free.

Make your n8n instance faster, cleaner, and more efficient by deleting old workflow executions — while keeping only the most recent ones you actually need. Whether you're using n8n Cloud or self-hosted, this lightweight workflow helps reduce database/storage usage and improves UI responsiveness, using only official n8n nodes. 🔍 Description Automatically clean up old executions in your n8n instance using only official nodes — no external database queries required. Whether you're on the Cloud version or running self-hosted, this workflow helps you optimize performance and keep your instance tidy by maintaining only the most recent executions per workflow. Ideal for users managing dozens or hundreds of workflows, this solution reduces storage usage and improves the responsiveness of the n8n UI, especially in environments where execution logs can accumulate quickly. ✅ What It Does Retrieves up to 250 recent executions across all workflows Groups executions by workflow Keeps only the most recent N executions per workflow (value is configurable) Deletes all older executions (regardless of their status: success, error, etc.) Works entirely with native n8n nodes — no external database access required Optionally: set the number of executions to keep as 0 to delete all past executions from your instance in a single run 🛠️ How to Set Up 🔑 Create a Personal API Key in your n8n instance: Go to Settings → API Keys → Create a new key 🔧 Create a new n8n API Credential (used by both nodes): In your n8n credentials panel: Name: anything you like (e.g., “Internal API Access”) API Key: paste the Personal API Key you just created Base URL: your full n8n instance URL with the /api/v1 path, e.g. https://your-n8n-instance.com/api/v1 ✅ Use this credential in both: The Get Many Executions node (to fetch recent executions) The Delete Many Executions node (to remove outdated executions) 🧩 In the “Set Executions to Keep” node: Edit the variable executionsToKeep and set the number of most recent executions to retain per workflow (e.g. 10) Tip: Set it to 0 to delete all executions 📦 Note: The “Get Many Executions” node will retrieve up to 250 executions per run — this is the maximum allowed by the n8n API. 🧠 No further setup is required — the filtering and grouping logic is handled inside the Code Node automatically. 🧪 Included Nodes Overview 🕒 Schedule Trigger → Set to run daily, weekly, etc. 📥 Get Many Executions → Fetches past executions via n8n API 🛠️ Set Executions to Keep → Set how many recent ones to keep 🧠 Code Node → Filters out executions to delete per workflow 🗑️ Delete Executions → Deletes outdated executions 💡 Why Use This? Reduce clutter and improve performance in your n8n instance Maintain execution logs only when they’re useful Avoid bloating your storage or database with obsolete data Compatible with both n8n Cloud and self-hosted setups Uses only official, supported n8n nodes — no SQL, no extra setup 🔒 This workflow modifies and deletes execution data. Always review and test it first on a staging instance or on a limited set of workflows before using it in production.

Automatically fetch, curate, and distribute Reddit content digests using AI-powered filtering. This workflow monitors multiple subreddits, ranks posts by relevance, removes spam and duplicates, then delivers beautifully formatted digests to Telegram, Discord, or Slack. Who's it for Perfect for content creators tracking trends, marketers monitoring discussions, researchers following specific topics, and community managers staying informed. Anyone who wants high-quality Reddit updates without manually browsing multiple subreddits. How it works The workflow fetches top posts from your chosen subreddits using Reddit's JSON API (no authentication required). Posts are cleaned, deduplicated, and filtered by upvote threshold and custom keywords. An AI model (Google Gemini, OpenAI, or Claude) then ranks remaining posts by relevance, filters out low-quality content, and generates a formatted digest. The final output is delivered to your preferred messaging platform on a schedule or on-demand. Setup requirements n8n version 1.0+ AI provider API key (Google Gemini recommended - has free tier) At least one messaging platform configured: Telegram bot token + chat ID Discord webhook URL Slack OAuth token + channel access How to set up Open the Configuration node and edit subreddit list, post counts, and keywords Configure the Schedule Trigger or use manual execution Add your AI provider credentials in the AI Content Curator node Enable and configure your preferred delivery platform (Telegram/Discord/Slack) Test with manual execution, then activate the workflow Customization options Subreddits**: Add unlimited subreddits to monitor (comma-separated) Time filters**: Choose from hour, day, week, month, year, or all-time top posts Keywords**: Set focus keywords to prioritize and exclude keywords to filter out Post count**: Adjust how many posts to fetch vs. how many appear in final digest AI prompt**: Customize ranking criteria and output format in the AI node Schedule**: Use cron expressions for hourly, daily, or weekly digests Output format**: Modify the formatting code to match your brand style Add email notifications, database storage, or RSS feed generation by extending the workflow with additional nodes.

This workflow automates competitor keyword research using OpenAI LLM and Decodo for intelligent web scraping. Who this is for SEO specialists, content strategists, and growth marketers who want to automate keyword research and competitive intelligence. Marketing analysts managing multiple clients or websites who need consistent SEO tracking without manual data pulls. Agencies or automation engineers using Google Sheets as an SEO data dashboard for keyword monitoring and reporting. What problem this workflow solves Tracking competitor keywords manually is slow and inconsistent. Most SEO tools provide limited API access or lack contextual keyword analysis. This workflow solves that by: Automatically scraping any competitor’s webpage with Decodo. Using OpenAI GPT-4.1-mini to interpret keyword intent, density, and semantic focus. Storing structured keyword insights directly in Google Sheets for ongoing tracking and trend analysis. What this workflow does Trigger — Manually start the workflow or schedule it to run periodically. Input Setup — Define the website URL and target country (e.g., https://dev.to, france). Data Scraping (Decodo) — Fetch competitor web content and metadata. Keyword Analysis (OpenAI GPT-4.1-mini) Extract primary and secondary keywords. Identify focus topics and semantic entities. Generate a keyword density summary and SEO strength score. Recommend optimization and internal linking opportunities. Data Structuring — Clean and convert GPT output into JSON format. Data Storage (Google Sheets) — Append structured keyword data to a Google Sheet for long-term tracking. Setup Prerequisites If you are new to Decode, please signup on this link visit.decodo.com n8n account with workflow editor access Decodo API credentials OpenAI API key Google Sheets account connected via OAuth2 Make sure to install the Decodo Community node. Create a Google Sheet Add columns for: primary_keywords, seo_strength_score, keyword_density_summary, etc. Share with your n8n Google account. Connect Credentials Add credentials for: Decodo API credentials - You need to register, login and obtain the Basic Authentication Token via Decodo Dashboard OpenAI API (for GPT-4o-mini) Google Sheets OAuth2 Configure Input Fields Edit the “Set Input Fields” node to set your target site and region. Run the Workflow Click Execute Workflow in n8n. View structured results in your connected Google Sheet. How to customize this workflow Track Multiple Competitors** → Use a Google Sheet or CSV list of URLs; loop through them using the Split In Batches node. Add Language Detection** → Add a Gemini or GPT node before keyword analysis to detect content language and adjust prompts. Enhance the SEO Report** → Expand the GPT prompt to include backlink insights, metadata optimization, or readability checks. Integrate Visualization** → Connect your Google Sheet to Looker Studio for SEO performance dashboards. Schedule Auto-Runs** → Use the Cron Node to run weekly or monthly for competitor keyword refreshes. Summary This workflow automates competitor keyword research using: Decodo** for intelligent web scraping OpenAI GPT-4.1-mini** for keyword and SEO analysis Google Sheets** for live tracking and reporting It’s a complete AI-powered SEO intelligence pipeline ideal for teams that want actionable insights on keyword gaps, optimization opportunities, and content focus trends, without relying on expensive SEO SaaS tools.

This automation workflow transforms Meta advertising data into executive ready presentation decks, eliminating manual report creation while ensuring stakeholders receive consistent performance insights. It generates professional Google Slides presentations from your ad campaigns and delivers them automatically via email to designated recipients. By combining scheduled data extraction with AI-powered analysis and automated presentation building, you'll receive polished, actionable reports that facilitate strategic advertising decisions and client communication Key Features: Scheduled automated summary deck generation (daily, weekly, or monthly) AI powered data analysis using advanced language models Intelligent presentation generation with actionable recommendations Direct email delivery of formatted summary decks Prerequisites: GoMarble MCP account and API access Anthropic account Google Slides, Google Drive & Gmail accounts n8n instance (cloud or self-hosted) Configuration Time: ~15-20 minutes Step By Step Setup: 1. Connect GoMarble MCP to n8n Follow the integration guide: GoMarble MCP Setup Configure your Meta Ads account credentials in GoMarble platform 2. Configure the Schedule Trigger 3.Customize the Ad Account Settings. Update the account name to match your ad account name. 4. Customise the Report Prompt (Although the workflow includes a pre configured template report prompt) Define specific metrics and KPIs to track Set analysis parameters and report format preferences 5. Set up AI Agent Configuration Configure Anthropic Claude model with your API credentials Connect the GoMarble MCP tools for Meta advertising data 6. Configure Google Services Integration Set up Google Slides OAuth2 API for presentation creation Configure Google Drive OAuth2 API for file management Link Gmail OAuth2 for automated email delivery 7. Customize Email Delivery Set recipient email addresses for stakeholders Customize email subject line and message content Advanced Configuration Modify report prompt to include specific metrics and KPIs Adjust slide content structure (5-slide format: Executive Snapshot, Channel KPIs, Top Campaigns, Under-performers, Action Recommendations) What You'll Get Automated Presentation Creation: Weekly Google Slides decks generated without manual intervention Professional Ads Analysis: Executive-ready performance summaries with key metrics and insights Structured Intelligence: Consistent 5-slide format covering spend, ROAS, campaign performance, and strategic recommendations Direct Stakeholder Delivery: Presentations automatically emailed as attachments to specified recipients Data-Driven Insights: AI-powered analysis of campaign performance with actionable next steps Scalable Reporting: Easy to modify timing, recipients, or content structure as business needs evolve Perfect for marketing teams, agencies, and business owners who need regular Meta advertising performance updates delivered professionally without manual report creation.