Workflow Templates

Overview An intelligent automation workflow that monitors your Gmail inbox and sends AI-powered summaries of important emails directly to your Telegram chat. Perfect for staying updated on critical communications without constantly checking your email. 🌟 Key Features Real-time Email Monitoring**: Checks Gmail every minute for new emails Smart Content Filtering**: Only processes emails containing important keywords AI-Powered Summarization**: Uses GPT-4o-mini to create concise, human-readable summaries Instant Telegram Notifications**: Delivers summaries directly to your preferred Telegram chat Customizable Keywords**: Easily modify filters to match your specific needs 🔧 How It Works Workflow Steps: Email Trigger: Continuously monitors your Gmail inbox for new messages Smart Filter: Analyzes email subject and body for important keywords (sales, jobs, etc.) AI Processing: Sends relevant emails to OpenAI for intelligent summarization Telegram Delivery: Sends formatted summary to your Telegram chat Sample Output: 📦 Your Flipkart order "Bluetooth Speaker" was delivered today. Enjoy! 💰 Invoice from AWS for $23.50 is due by July 20. Check billing portal. ✅ HR shared your July payslip. No action needed unless there's an error. 🛠 Setup Requirements Gmail account with OAuth2 credentials OpenAI API key Telegram bot token and chat ID N8N instance (cloud or self-hosted) 📋 Use Cases Business Alerts**: Payment due notices, invoice reminders E-commerce**: Order confirmations, delivery updates HR Communications**: Payslips, policy updates, announcements Security**: Login alerts, security notifications Job Hunting**: Application responses, interview invitations ⚙️ Customization Options Keyword Filters**: Add/remove keywords in the filter node (invoice, payment, security, delivery, etc.) AI Prompt**: Modify the summarization style and format Polling Frequency**: Adjust email checking interval Multiple Chats**: Send to different Telegram chats based on email type 🔒 Privacy & Security Processes emails locally through n8n No email content stored permanently Uses secure OAuth2 authentication Respects Gmail API rate limits 📊 Performance Lightweight and efficient Minimal resource usage Fast AI processing with GPT-4o-mini Reliable Telegram delivery 💡 Pro Tips Start with broad keywords and refine based on results Use multiple condition branches for different email types Set up different Telegram chats for work vs personal emails Monitor your OpenAI usage to avoid unexpected costs

Problem Monitoring SEO performance from Google Search Console (GSC) manually is repetitive and prone to human error. For marketers or analysts managing multiple domains, checking reports manually and copying data into spreadsheets or databases is time-consuming. There is a strong need for an automated solution that collects, stores, and updates SEO metrics regularly for easier analysis and dashboarding. Solution This workflow automatically pulls performance metrics from Google Search Console — including queries, pages, CTR, impressions, positions, and devices — and stores them in a structured format inside a NocoDB table. It’s ideal for SEO specialists, marketing teams, or data analysts who need to automate SEO reporting and centralize data for analytics or dashboards (like Superset or Metabase). Setup Instructions Authorize your Google Search Console account Connect via OAuth2 (requires GSC API access). Create a NocoDB table Define fields to match GSC response: query (text) page (URL) device (text) clicks (number) impressions (number) ctr (percentage) position (number) Add credentials in n8n Use credential nodes for both: Google OAuth2 NocoDB API Token Customize schedule trigger Set the frequency (e.g., weekly) and adjust the domain/date range as needed. Generalize domains Replace specific domains like martechmafia.net with your-domain.com before submission. NocoDB Table Structure The NocoDB table must match the fields coming from GSC's Search Analytics API. Here's a sample schema: { "query": "string", "page": "string", "device": "string", "clicks": "number", "impressions": "number", "ctr": "number", "position": "number" }

How It Works This workflow automates the analysis of security alerts from Sophos Central, turning raw events into actionable intelligence. It uses the official Sophos SIEM integration tool to fetch data, enriches it with VirusTotal, and leverages Google Gemini to provide a real-time threat summary and mitigation plan via Telegram. Prerequisite (Important): This workflow is triggered by a webhook that receives data from an external Python script. You must first set up the Sophos-Central-SIEM-Integration script from the official Sophos GitHub. This script will fetch data and forward it to your n8n webhook URL. Tool Source Code: Sophos/Sophos-Central-SIEM-Integration The n8n Workflow Steps Webhook: Receives enriched event and alert data from the external Python script. IF (Filter): Immediately filters the incoming data to ensure only events with a high or critical severity are processed, reducing noise from low-priority alerts. Code (Prepare Indicator): Intelligently inspects the Sophos event data to extract the primary threat indicator. It prioritizes indicators in the following order: File Hash (SHA256), URL/Domain, or Source IP. HTTP Request (VirusTotal): The extracted indicator is sent to the VirusTotal API to get a detailed reputation report, including how many security vendors flagged it as malicious. Code (Prompt for Gemini): The raw JSON output from VirusTotal is processed into a clean, human-readable summary and a detailed list of flagging vendors. AI Agent (Google Gemini): All collected data—the original Sophos log, the full alert details, and the formatted VirusTotal reputation—is compiled into a detailed prompt for Gemini. The AI acts as a virtual SOC analyst to: Create a concise incident summary. Determine the risk level. Provide a list of concrete, actionable mitigation steps. Telegram: The complete analysis and mitigation plan from Gemini is formatted into a clean, easy-to-read message and sent to your specified Telegram chat. Setup Instructions Configure the external Python script to forward events to this workflow's Production URL. In n8n, create Credentials for Google Gemini, VirusTotal, and Telegram. Assign the newly created credentials to the corresponding nodes in the workflow.

Purpose of workflow: The purpose of this workflow is to automate scraping of a website, transforming it into a structured format, and loading it directly into a Google Sheets spreadsheet. How it works: Web Scraping: Uses the Jina AI service to scrape website data and convert it into LLM-friendly text. Information Extraction: Employs an AI node to extract specific book details (title, price, availability, image URL, product URL) from the scraped data. Data Splitting: Splits the extracted information into individual book entries. Google Sheets Integration: Automatically populates a Google Sheets spreadsheet with the structured book data. Step by step setup: Set up Jina AI service: Sign up for a Jina AI account and obtain an API key. Configure the HTTP Request node: Enter the Jina AI URL with the target website. Add the API key to the request headers for authentication. Set up the Information Extractor node: Use Claude AI to generate a JSON schema for data extraction. Upload a screenshot of the target website to Claude AI. Ask Claude AI to suggest a JSON schema for extracting required information. Copy the generated schema into the Information Extractor node. Configure the Split node: Set it up to separate the extracted data into individual book entries. Set up the Google Sheets node: Create a Google Sheets spreadsheet with columns for title, price, availability, image URL, and product URL. Configure the node to map the extracted data to the appropriate columns.

Automated system to track and analyze technology stacks used by target companies, helping identify decision-makers and technology trends. 🚀 What It Does Tracks technology stack of target companies Identifies key decision-makers (CTOs, Tech Leads) Monitors technology changes and updates Provides competitive intelligence Generates actionable insights 🎯 Perfect For B2B SaaS companies Technology vendors Sales and business development teams Competitive intelligence analysts Market researchers ⚙️ Key Benefits ✅ Identify potential customers ✅ Stay ahead of technology trends ✅ Target decision-makers effectively ✅ Monitor competitor technology stacks ✅ Data-driven sales strategies 🔧 What You Need BuiltWith API key n8n instance CRM integration (optional) Email/Slack for alerts 📊 Data Tracked Company technologies Hosting providers Frameworks and libraries Analytics tools Marketing technologies 🛠️ Setup & Support Quick Setup Deploy in 20 minutes with our step-by-step guide 📺 Watch Tutorial 💼 Get Expert Support 📧 Direct Help Gain a competitive edge by understanding the technology landscape of your target market.

Effortlessly optimize your workflow by automatically importing hundreds of manufacturers from a Google Sheet into your Shopware online store, saving countless hours of manual work. How it works Retrieve all manufactures from a Google Sheet Add each manufacture via Shopware sync API Endpoint to Shopware Upload a logo for each manufacture from a provided public URL to Shopware Set Up Steps Add your Shopware url to first node called Settings Create a Google Sheet in your Google account with the following columns (Demo Sheet) name (the name of the manufacturer which has to be unique and is required) website (url to the manufacturer website) description logo_url (public manufcaturer logo url. Have to be a png, jpg or svg file) translation_language_code_1 (optional. Language Code of your language. For example 'es-ES' for spanish. You have to make sure a language with this code exists in your Shopware shop.) translation_name_1 (optional. Manufacturer name translated to the language you defined at translation_language_code_1) translation_description_1 (optional. Manufacturer description translated to the language you defined at translation_language_code_1) translation_language_code_2 (optional. Same as translation_language_code_1 for another language) translation_name_2 (optional. Same as translation_name_1 for another language) translation_description_2 (optional. Same as translation_description_1 for another language) translation_language_code_3 (optional. Same as translation_language_code_1 for another language) translation_name_3 (optional. Same as translation_name_1 for another language) translation_description_3 (optional. Same as translation_description_1 for another language) Connect to your Google account Connect to your Shopware account Create a Shopware Integration Connect to Shopware at the nodes "Import Manufacturer" and "Upload Manufacturer Logo" using a Generic OAuth2 API Authentication with Grant Type "Client Credentials". The Access Token URL is https://your-shopware-domain.com/api/oauth/token. Run the workflow

This workflow template helps Todoist users get a weekly overview of their completed tasks via email, making it easier to review their past week. Why use this workflow? Todoist doesn’t provide completed task reports or filters in its built-in reports or n8n app. This workflow solves that by using Todoist’s public API to fetch your completed tasks. How it works Runs every Friday afternoon (or manually). Uses the Todoist public API to retrieve completed tasks. Excludes specific projects you set (e.g., a grocery list). Sends an email summary, grouping tasks by the day they were completed. Set up steps Copy your Todoist API token (found here). Create a Todoist API credential in n8n. Create an SMTP credential in n8n. Alternatively, use a preferred email service like Brevo, Mailjet, etc. Import this workflow template. In the Get completed tasks via Todoist API step, select your Todoist API credential. In the Send Email step: Select your SMTP credential. Set the sender and recipient email addresses. Run the workflow manually and check your inbox! Ignoring specific projects If you do not want your grocery list, workouts, or other tasks from specific Todoist projects showing up in your weekly summary, modify the step called Optional: Ignore specific projects and change this line: const ignoredProjects = ['2335544024']; This should be an array with the id of each project you'd like to ignore. You can find a list of your projects (inc. their Ids) by visiting this link: https://api.todoist.com/rest/v2/projects

Workflow Overview This cutting-edge n8n automation is a sophisticated market research and intelligence gathering tool designed to transform web content discovery into actionable insights. By intelligently combining web crawling, AI-powered filtering, and smart summarization, this workflow: Discovers Relevant Content: Automatically crawls target websites Identifies trending topics Extracts comprehensive article details Intelligent Content Filtering: Applies custom keyword matching Filters for most relevant articles Ensures high-quality information capture AI-Powered Summarization: Generates concise, meaningful summaries Extracts key insights Provides quick, digestible information Seamless Delivery: Sends summaries directly to Slack Enables instant team communication Facilitates rapid information sharing Key Benefits 🤖 Full Automation: Continuous market intelligence 💡 Smart Filtering: Precision content discovery 📊 AI-Powered Insights: Intelligent summarization 🚀 Instant Delivery: Real-time team updates Workflow Architecture 🔹 Stage 1: Content Discovery Scheduled Trigger**: Daily market research FireCrawl Integration**: Web content crawling Comprehensive Site Scanning**: Extracts article metadata Captures full article content Identifies key information sources 🔹 Stage 2: Intelligent Filtering Keyword-Based Matching** Relevance Assessment** Custom Domain Optimization**: AI and technology focus Startup and innovation tracking 🔹 Stage 3: AI Summarization OpenAI GPT Integration** Contextual Understanding** Concise Insight Generation**: 3-point summary format Captures essential information 🔹 Stage 4: Team Notification Slack Integration** Instant Information Sharing** Formatted Insight Delivery** Potential Use Cases Market Research Teams**: Trend tracking Innovation Departments**: Technology monitoring Startup Ecosystems**: Competitive intelligence Product Management**: Industry insights Strategic Planning**: Rapid information gathering Setup Requirements FireCrawl API Web crawling credentials Configured crawling parameters OpenAI API GPT model access Summarization configuration API key management Slack Workspace Channel for insights delivery Appropriate app permissions Webhook configuration n8n Installation Cloud or self-hosted instance Workflow configuration API credential management Future Enhancement Suggestions 🤖 Multi-source crawling 📊 Advanced sentiment analysis 🔔 Customizable alert mechanisms 🌐 Expanded topic tracking 🧠 Machine learning refinement Technical Considerations Implement robust error handling Use exponential backoff for API calls Maintain flexible crawling strategies Ensure compliance with website terms of service Ethical Guidelines Respect content creator rights Use data for legitimate research Maintain transparent information gathering Provide proper attribution Workflow Visualization [Daily Trigger] ⬇️ [Web Crawling] ⬇️ [Content Filtering] ⬇️ [AI Summarization] ⬇️ [Slack Delivery] Connect With Me Ready to revolutionize your market research? 📧 Email: Yaron@nofluff.online 🎥 YouTube: @YaronBeen 💼 LinkedIn: Yaron Been Transform your information gathering with intelligent, automated workflows! #AIResearch #MarketIntelligence #AutomatedInsights #TechTrends #WebCrawling #AIMarketing #InnovationTracking #BusinessIntelligence #DataAutomation #TechNews

Who is this for? This workflow is for social media agencies, influencer marketers, and brand managers who need to automatically qualify TikTok creators based on their follower metrics. It’s especially useful for teams managing influencer outreach campaigns or building talent databases. What problem is this workflow solving? Manually tracking TikTok user stats is time-consuming and inconsistent. This automation instantly pulls TikTok profile data and only saves creators who meet a defined follower threshold. It removes manual vetting, reduces spreadsheet work, and makes influencer qualification scalable. What this workflow does This workflow uses Airtable as the trigger, Dumpling AI to scrape TikTok profile information, and a logic condition to check if the profile has more than 100k followers. Qualified profiles are updated with full metrics and stored back in Airtable. Setup Airtable Setup Create a table with a field named Tik tok username Connect your Airtable account to n8n using a Personal Access Token Set up a trigger to run when a new TikTok username is added Dumpling AI Sign up at Dumpling AI Create a Dumpling AI credential in n8n using your API key The HTTP node sends the TikTok handle to Dumpling’s /get-tiktok-profile endpoint Configure Filter The IF node checks if followerCount is greater than or equal to 100000 Airtable Update If qualified, the record is updated with: ID (TikTok ID) followerCount followingCount heartCount videoCount How to customize this workflow to your needs Change the follower count threshold to fit your campaign (e.g. 10K, 500K, 1M) Add fields like engagement rate, niche tags, or scraped bio Chain additional steps like sending approved creators to your CRM or triggering outreach messages Add another filter to exclude private or inactive accounts

⚠️ This Workflow Requires a Community Node and a Self-Hosted n8n Instance > This workflow uses the Vtiger CRM community node. To use it, you must be running a self-hosted version of n8n with Community Nodes enabled. 🔧 How to Install the Node Go to Settings → Community Nodes Click Install Node Enter the package name: n8n-nodes-vtiger-crm Restart your n8n instance if prompted 💬 Real-time Vtiger Support Tickets to Telegram with Auto Status Updates 📌 Overview Keep your support team instantly informed when new tickets are created in Vtiger CRM. This workflow: Fetches the most recent ticket marked as Open Sends its details to a Telegram chat Updates the status in Vtiger to In Progress to prevent re-sending 🔄 What This Workflow Does 📨 Pulls the latest open ticket from Vtiger HelpDesk 📲 Sends a rich-text message to Telegram with all key ticket details 🔁 Updates the ticket’s status to "In Progress" 🧠 Workflow Preview > 📲 Telegram Output Example > New ticket with the following details: Ticketid: TT2 Title: Internet down Status: Open Priority: High Severity: Minor Category: Small Problem Description: The internet was slow from yesterday and today is down completely 🛠️ Setup Instructions 🔗 Telegram Bot Setup Open Telegram and search for @BotFather Run /newbot and follow the instructions Save the bot token Add the bot to your chat or group Use @userinfobot to get your chat_id Paste the token and chat ID in the Telegram node inside n8n 🔗 Vtiger CRM Setup Make sure your Vtiger HelpDesk module includes: ticket_no, ticket_title, ticketstatus, ticketpriorities, ticketseverities, ticketcategories, description Connect your Vtiger API credentials inside n8n 👥 Who This Is For Customer support and IT helpdesk teams using Vtiger CRM Teams that want instant alerts in Telegram Anyone syncing CRM activity with chat-based notifications 🔐 Credentials Required ✅ Vtiger CRM API credentials ✅ Telegram Bot Token 🏷 Tags vtiger, telegram, crm automation, helpdesk alerts, no-code crm, realtime notifications, n8n telegram integration, support ticket automation, self-hosted n8n, community nodes, workflow automation, vtiger crm integration, helpdesk sync, n8n crm alerts `

Search music and play to Spotify from Telegram This workflow is a simple demonstration on accessing a message model from Telegram and it makes searching for songs an easy task even if you can't remember the artist or song name. An OpenAI message model tries to figure out the song and sends it to an active Spotify device**. Use case Imagine an office where you play music in the background and the employees can control the music without having to login to the playing account. How it works You describe the song in Telegram. Telegram bot sends the text to n8n. An OpenAI message model tries to find the song. Spotify gets the search query string. First match is then added to queue. -- If there is no match a message is sent to Telegram and the process ends. We change to the next track in the list. We make sure the song starts playing by trying to resume. We fetch the currently playing track. We return "now playing" information to Telegram: Song Name - Artist Name - Album Name. Error handling Every Spotify step has it's on error handler under settings where we output the error. Message parser receives the error and sends it to Telegram. Requirements Active workflow* OpenAI API key Telegram bot Spotify account and Oauth2 API Spotify active on a device** .* The Telegram trigger is activated only if this workflow is active. You can however TEST the workflow in the editor by clicking "Test step" and then it waits for the Telegram event. When event is received, just step through all steps or just clicking "Test step" on the "Fetch Now Playing" node. .** You must have a Spotify device active when trying to communicate with a device. Open Spotify and play something - not it is active.

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. 🧠 Vtiger CRM – Auto-Answer FAQs with DeepSeek AI Description: This workflow automates the process of answering FAQ drafts in Vtiger CRM using DeepSeek LLM via LangChain. It's perfect for teams who want to accelerate knowledge base creation, improve support response consistency, or reduce the manual effort of writing FAQ content. Every 1 minute, this workflow: 📥 Retrieves the most recent FAQ record marked as Draft in Vtiger CRM 🧠 Sends the question to a LangChain agent powered by DeepSeek AI 📝 Receives a plain-text answer 📤 Updates the original FAQ with the generated answer and changes its status to Published ⚙️ How It Works Trigger:** Scheduled to run every 1 minute Query:** Pulls the latest FAQ from Vtiger where faqstatus = 'Draft' AI Agent:** Uses LangChain + DeepSeek to generate a natural-language answer Memory Buffer:** Keeps context using LangChain memory Update:** Pushes the answer back to Vtiger and marks it as Published 🛠️ Setup Instructions Connect Credentials for: Vtiger CRM API DeepSeek API Ensure your Vtiger CRM has a Faq module with fields: question faq_answer faqstatus Install the required Community Node: Go to Settings → Community Nodes Click Install Node and enter: n8n-nodes-vtiger-crm Restart your instance when prompted. Optionally customize the schedule or field names as needed. 👤 Who Is This For? Customer support teams building a knowledge base Businesses using Vtiger as a CRM or internal helpdesk Teams looking to automate repetitive content creation using LLMs 🔐 Credentials Required ✅ Vtiger CRM API credentials ✅ DeepSeek AI API key ✅ Highlights Fully automated LLM-powered FAQ generation Uses custom community node for Vtiger support Lightweight and runs on a short interval (1 min) Includes sticky note for clarity and onboarding Clean conditional logic and memory context built-in 🏷 Tags vtiger, crm, faq automation, ai automation, deepseek, langchain, llm, open source crm, faq generation, customer support, n8n, n8n community nodes, workflow automation, ai generated answers, vtiger integration, deepseek ai, langchain integration