Browse 13,012 Workflows

By Marth - Business Automation

⚙ Automated Contract Employee Placement & Management System: Setup Guide This guide will walk you through setting up your n8n workflow. By the end, you'll have a fully automated system for managing your contract employee placements, from generating documents to sending renewal reminders. How It Works This workflow is structured in three logical phases to automate the entire contract management lifecycle: Phase 1: Placement Trigger & Data Retrieval: The workflow begins when a new placement record is created in your CRM or database. It automatically retrieves all necessary employee and client data to prepare for contract generation. Phase 2: Contract Generation & Delivery: The system uses a pre-made Google Docs template to generate a professional contract. It then automatically sends this document for e-signature via DocuSign to both the employee and the client. Phase 3: Post-Placement Management & Reminders: Once the contract is signed, the workflow updates your database, notifies your team, and adds the start date to your calendar. A separate scheduled automation runs weekly to proactively check for expiring contracts and send renewal reminders. Step-by-Step Setup Guide Follow these steps to configure the workflow in your n8n instance. Step 1: Prerequisites & Database Setup Before you begin, ensure you have the following accounts and a workspace set up: n8n Instance:** Your self-hosted or cloud-based n8n instance. Airtable:** Your main database for managing placements. Google Docs:** A contract template saved in your Google Drive. DocuSign:** For handling electronic signatures. Slack:** For internal team notifications. Google Calendar:** For adding start dates to a shared team calendar. Airtable Database Preparation: Create an Airtable base with a Placements table. This table must include the following columns: Candidate Name Candidate Email Client Name Client Contact Email Start Date End Date Status Google Docs Template Preparation: Create a contract template in Google Docs with placeholders in the format {{placeholder}} (e.g., {{candidateName}}, {{clientName}}). Step 2: Workflow Import & Credential Configuration Import the workflow's .json file into your n8n instance. All the necessary nodes will appear on your canvas. Click on any node with a red "!" icon (e.g., the Airtable or DocuSign node). Click "Create new credential" and follow the instructions to connect your accounts. Repeat this for all nodes that require credentials. Step 3: Node-Specific Configuration Configure the following key nodes to match your specific setup: Webhooks Trigger: Click on the Webhooks Trigger node and copy the Webhook URL. Configure your CRM or Airtable to send a POST request to this URL whenever a new placement is created. Airtable Nodes: For every Airtable node in the workflow, enter the correct Base ID and Table Name (Placements) that you created in Step 1. Google Docs Node: In the Template File ID field, enter the file ID of your Google Docs contract template. Map the placeholders you created in your template to the dynamic data from your database (e.g., {{candidateName}} should be mapped to ={{ $json.candidate_name }}). DocuSign Node: Enter your Account ID in the credentials settings. Map the Signer Name and Signer Email fields to the data from your database. Ensure your DocuSign envelope template is configured with anchor text (e.g., /signature/) that matches the anchor tags in the DocuSign node. Cron Trigger: The Cron Trigger node is set up to check for expiring contracts. You can adjust the Interval parameter (e.g., Every Week) to match your desired schedule. Step 4: Activation Once all credentials and node configurations are complete, click "Save" at the top of the canvas. Toggle the workflow to "Active" in the top-right corner. The workflow is now live! It will automatically handle contract generation, signatures, and reminders for every new placement. An n8n automation workflow template by Marth - Business Automation.

By Tran Trung Nghia

Cheap Nano Banana API - AI Image Generator with BananaAPI.com Overview This workflow integrates BananaAPI.com with the Nano Banana image engine to generate or edit AI images from text prompts and optional reference images. Users simply fill out a form with their prompt and preferences, the workflow submits the request to BananaAPI, polls the status until it is complete, and then returns the final image link. Why use it? Super affordable: only $0.025 per image Pay-as-you-go** pricing — no monthly subscription Credits never expire** — use anytime, no pressure Perfect for creators, marketers, and developers looking for a cost-effective AI image generator inside n8n. Prerequisites A BananaAPI.com account + API key (Bearer token). Sign up at BananaAPI.com. An n8n instance (Cloud or self-hosted). Basic knowledge of crafting AI prompts for better quality results. ⚠️ Important: Never expose your API key in public workflows. Use n8n Credentials for production setups. Setup Instructions 1. Obtain API Key Create an account at BananaAPI.com, generate your API key, and keep it safe. 2. Configure the Form The Form Trigger collects the following fields: api_token (required) — Banana API key prompt (required) — image description (e.g., “a neon cyberpunk cat, detailed, 4k”) Output Format [optional] — choose PNG or JPEG Image Size [optional] — 16:9, 9:16, 1:1, 3:4, 4:3 image_url_1 ... image_url_5 [optional] — reference images for editing/transform 3. Workflow Execution User fills the form and submits. Workflow sends a POST request to https://bananaapi.com/api/n8n/generate/. BananaAPI forwards the job to Nano Banana. Workflow waits 5s, then polls status via image-status/{taskId}. If status != completed, loop until ready. Once completed, workflow returns the final image URL. 4. Outputs The workflow returns: image_url — the generated image link task_id — task reference ID status — job status (completed/pending) 💡 Tip: Add a Webhook Response node to return clean JSON for frontend apps. Customization Tips Enhance prompts** with details like style (photorealistic, cartoon, cyberpunk), lighting, or action for better results. Use image_url_1 with a strong prompt to create image editing flows. Adjust wait time (5s → 8–10s) to optimize polling frequency. Add validation to ensure required fields are always filled in. API Reference POST** https://bananaapi.com/api/n8n/generate/ GET** https://bananaapi.com/api/n8n/image-status/{taskId} Docs: BananaAPI Docs ✅ Always include Authorization: Bearer <token> in headers. Pricing Advantages $0.025 per image** — cheaper than most alternatives Pay-as-you-go** — no monthly subscription required Credits never expire** — full flexibility to use anytime This makes BananaAPI + Nano Banana one of the most budget-friendly AI image solutions for automation workflows. Troubleshooting 401/403 Unauthorized** → Check Authorization header (Bearer token). Invalid JSON** → Ensure POST body is valid JSON (double quotes, no trailing commas). No imageUrl returned** → Task still pending; wait longer or verify taskId. Slow performance** → Increase wait interval (8–10s). Security Best Practices Do not hardcode API tokens in public workflows. Use n8n Credentials for storing tokens securely. Hide sensitive fields in forms or use Webhooks for controlled access. An n8n automation workflow template by Tran Trung Nghia.

By SerpApi

Sync Google Maps Reviews to Google Sheets for Any Google Maps Query How it works This workflow accepts any query you might run on actual Google Maps to search for places. The search happens through SerpApi's Google Maps API. Once the workflow receives place results from Google Maps, it loops through each place fetching reviews using SerpApi's Google Maps Reviews API. By default, the workflow will be limited to fetch up to 50 reviews per place. This can be customized in the 'Set Review Limit' node}. The first page of reviews for a place will only return 8 reviews. All subsequent pages will return up to 20 reviews. The fetched reviews are sent to a connected Google Sheet. How to use Create a free SerpApi account here: https://serpapi.com/ Add SerpApi credentials to n8n. Your SerpApi API key is here: https://serpapi.com/manage-api-key Connect your Google Sheets accounts to n8n. Help available here: https://n8n.io/integrations/google-sheets/ Create a Google Sheet with these column headers: name, iso_date, rating, snippet Connect your Google Sheet in the 'Append Reviews' Google Sheet node Update the Search Query in the 'Search Google Maps' node to set your own query (Optional) Update the review limit from the default 50 in the 'Set Review Limit' node. Set it to a very high number (e.g. 50000) to get all possible reviews. Hit 'Test Workflow' to manually trigger the workflow. Limitations Can only retrieve the top 20 results from Google Maps. It won't paginate to get more results. The workflow could be extended to support Google Maps Pagination. Warning Each request to SerpApi consumes 1 search credit. Be mindful of how many search credits your account has before requesting more reviews than your account supports. As an example, if a Google Maps query returns 20 results and you fetch the default limit of 50 reviews per page, this will use up to 61 SerpApi search credits. Documentation Google Maps API Google Maps Reviews API SerpApi n8n Node Intro Guide. An n8n automation workflow template by SerpApi.

By Krupal Patel

This workflow automatically analyses tasks to uncover why the actual time spent exceeds the original estimates. It connects with ClickUp(Can do with any PMS like JIRA, Asana, Monday and more) and other project management tools to generate clear insights on overspending trends. Save time, improve planning accuracy, and boost team productivity with automated task time analysis with two types of reports. “Why needed extra time?”** – Reasons users requested extensions or faced blockers. “Why went over estimate?”** – Reasons the actual work exceeded the original estimation. 🔧 Workflow Overview Manual Trigger Kick off execution by clicking “Test workflow”. Fetch Relevant Tasks Calls ClickUp to retrieve all tasks in specified states (“internal review” or “in progress”) that belong to designated folders and assignees. Filter by Overrun Filters tasks to include only those where time_spent > time_estimate. Gather Details For each overrun task: Fetch time entries via ClickUp API. Fetch all comments, including threaded replies. Retain only essential task fields and reformat timestamps. Normalize and Merge Extracts and sorts comment threads into clean arrays. Sorts time entry intervals chronologically. Merges task metadata, comments, and time entries into a single payload. Pass to AI Agent Sends consolidated task data to a ChatGPT-powered node using a custom prompt that: Extracts all “extra time requests” from comments and time entries. Identifies debugging, research, clarification, or rework intervals exceeding estimates. Combines findings into two distinct checklists. Format JSON Output A final Code node parses AI output into a clean JSON array ready for conversion. Convert to File JSON result for each task is prepared for file attachment or external storage. 🧩 Key Nodes & Functions |Node Name|Responsibility| |-|-| |Get ClickUp Tasks|Retrieves tasks by filter criteria| |If task has crossed estimation|Ensures only tasks with overruns continue| |Fetch Time entries via task IDs|Retrieves detailed time intervals| |Fetch Master comments|Retrieves all comments and threads| |Split → Merge scripting nodes|Clean and normalize comments structure| |Modify Time/Task data|Trims and prepares JSON for AI processing| |OpenAI Chat Model + AI Agent|Applies a GPT-based prompt to generate two reasoned checklists in JSON format| |Convert to File|Prepares final output as a JSON file or store on Sreadsheet or Email or Excel| 🛠 Customization Tips Trigger Automation:** Integrate a scheduled node for periodic runs (e.g., daily). Filter Scope:** Adjust ClickUp filters for different task types, spaces, or statuses. AI Prompt Tuning:** Refine prompt to include severity, link references, or categorize reasons. Output Handling:* Use the JSON file in subsequent n8n nodes for notifications *(Slack, Email, Spreadsheet, Airtable, ExcelSheet, etc.) or analytics. ✅ Benefits at a Glance Automates time-overrun analysis, eliminating manual review. Extracts insights directly from tasks description, comments, and timesheets. Produces structured outputs ideal for management dashboards or retrospectives. Customizable for team-specific workflows or reporting needs. 🔐 API Credentials Needed You will required to create API key of your ClickUp Account. Follow the n8n instruction document here ++https://docs.n8n.io/integrations/builtin/credentials/clickup/++ this will guide you how you can connect your ClickUp acount with n8n workflow. 👨🏻‍💻 Need Help? Contact www.KrupalPatel.com for support and custom workflow development. Find more n8n workflow for real world use cases from here: ++https://n8n.io/creators/krupalpatel/++. An n8n automation workflow template by Krupal Patel.

By gclbck

Analyze YouTube videos for virality with an AI-powered report This workflow automates the discovery and analysis of potentially viral YouTube videos. It searches for recent, popular videos based on a keyword, calculates a unique "Algorithmic Lift Score" to measure virality, and uses an AI agent to generate an insightful summary report that is sent directly to your email. What it does This workflow identifies videos that are outperforming their channel's baseline, a key indicator of viral potential. It operates in several stages: Searches YouTube: It finds recent, top-performing videos based on your specified keyword and timeframe. Gathers Data: For each video found, it fetches detailed statistics for both the video (views, likes, comments) and its channel (subscriber count, total views). Calculates Virality Score: It calculates an "Algorithmic Lift Score" for each video. This custom metric prioritizes videos that achieve high view counts and engagement relative to their channel's subscriber base. Analyzes with AI: The top 5 videos, sorted by their virality score, are sent to an AI agent (pre-configured for OpenAI). The AI generates a concise summary highlighting trends, top performers, and other noteworthy patterns. Sends Email Report: The final AI-generated analysis is converted to HTML and emailed to you, providing a ready-to-read report on what's trending in your niche. Who it's for This workflow is perfect for: Content Creators** looking for trending topics and content ideas. Digital Marketers** conducting competitor analysis or market research. Social Media Managers** wanting to understand what content resonates on YouTube. Data Analysts** who need to automate the collection and analysis of YouTube trends. Requirements A Google API Key with the "YouTube Data API v3" enabled. An OpenAI API Key (or another compatible AI model credential). A connected Gmail account in n8n to send the final report. How to set up Configure the Setup Node: Click on the "Setup" node and fill in the values: query: The keyword you want to search for (e.g., "AI tools"). GoogleAPIkey: Your Google API key. daysback: How many days in the past to search for new videos. maxResult: The number of videos to analyze (e.g., 20). email: The email address where the report will be sent. Set AI Credentials: Click the "OpenAI Chat Model" node and add your OpenAI API key to the credentials. Set Gmail Credentials: Click the "Send_Report" node and connect your Gmail account to the credentials. An n8n automation workflow template by gclbck.

By SayOne Technologies

📧📅 Turn Daily Emails and Calendar Summaries into Slack Notifications Here’s a workflow that automates daily Slack notifications with a concise summary of unread emails (from the last 7 days) and Google Calendar events (for the current day). It integrates Gmail, Google Sheets, Google Calendar, Gemini AI, and Slack to provide a clear snapshot of your workday. 💡 How It Helps You 📥 Fetches unread emails from Gmail for the past 7 days 🗂️ Filters emails based on Name, Email, and Subject defined in Google Sheets 📅 Fetches Google Calendar events for the current day 🤖 Summarizes emails and calendar events using Gemini AI 🔗 Merges both summaries and sends them as a formatted Slack notification ⏰ Runs automatically on a scheduled cron trigger 🛠️ What’s Needed to Start 📧 Gmail account (with unread emails access) 📑 Google Sheets (with Name, Email, Subject filter list) 📅 Google Calendar 🤝 Gemini AI with credentials 💬 Slack workspace & dedicated channel for notifications ⚡ Set Up in Minutes 📑 Create a Google Sheet with columns: Name, Email, Subject 🔑 Configure Gmail, Google Sheets, Google Calendar, and Slack credentials in n8n 🤖 Add Gemini AI credentials for summarization 📝 Update the Google Sheet name and file name in the Sheet node 💬 Update Slack channel ID in the workflow ✅ Activate the workflow to receive daily notifications ✨ Stay on top of important emails and upcoming meetings without manual checking!. An n8n automation workflow template by SayOne Technologies.

By Baris Cem Ant

Workflow Objective This n8n workflow automates the entire content creation process by monitoring specified RSS feeds for new articles. It then leverages Google Gemini AI to generate comprehensive, SEO-optimized blog posts inspired by these articles, creates unique cover images, and distributes the final content as a JSON file to stakeholders via Telegram. The primary goal is to automate the end-to-end content pipeline, saving significant time and ensuring a consistent output of high-quality content. Step-by-Step Breakdown Monitor News Sources (RSS Triggers): The workflow is triggered periodically (e.g., hourly, weekly) by multiple RSS Feed nodes that monitor sources like "Search Engine Journal" and "Tech Crunch" for new publications. Prevent Duplicate Content (Deduplication): For each new article fetched from the RSS feeds, the workflow checks an AWS DynamoDB database to see if the article's URL has been processed before. If the link already exists in the database, the process for that item is halted, and a debug notification is sent to Telegram via the "Telegram Debugger" node. This prevents the generation of duplicate content. AI-Powered Content Generation (Gemini Content Generation): If the article is new, its link is passed to a Google Gemini node. Using a highly detailed and structured prompt, Gemini generates a complete blog post in a specific JSON format. This output includes a title, meta description, SEO-friendly slug, a descriptive prompt for generating a cover image, and the full markdown body of the article (including an introduction, subheadings, conclusion, FAQ section, etc.). Data Cleaning and Parsing (JSON Parser): The raw text response from the AI is processed by a "Code" node. This custom script cleans the output—removing markdown code blocks, fixing potential syntax errors—and reliably parses it into a valid JSON object, ensuring the data is clean for subsequent steps. Image Generation and Cloud Storage: The image_generation_prompt from the parsed JSON is sent to another Google Gemini node configured for image generation, creating a 1200x630 cover image for the blog post. The newly created image is renamed using the slug. Finally, the image is uploaded to a cloud storage service like Cloudflare R2. If the upload fails, an error message is sent to Telegram. Final Data Assembly and Distribution: The generated text content is merged with the URL of the uploaded image to create the final, complete blog post data object. This entire data structure is converted into a JSON file, named using the format [slug].json. In the final step, this JSON file is sent as a document to designated recipients User via the Telegram nodes. Technologies and Services Used Trigger:** RSS Feed Reader Artificial Intelligence:** Google Gemini (for both text and image generation) Database:** AWS DynamoDB (for content deduplication) Cloud Storage:** Cloudflare R2 (S3-compatible) Notification & Distribution:** Telegram Data Processing:** n8n's native nodes (Merge, If, Set, Code). An n8n automation workflow template by Baris Cem Ant.

By Toshiki Hirao

You can turn messy business card photos into organized contact data automatically. With this workflow, you can upload a business card photo to Slack and instantly capture the contact details into Google Sheets using OCR. No more manual typing—each new card is scanned, structured, saved, and confirmed back in Slack, making contact management fast and effortless. How it works Slack Trigger – The workflow starts when a business card photo is uploaded to Slack. HTTP Request – The uploaded image is fetched from Slack. AI/OCR Parsing – The card image is analyzed by an AI model and structured into contact fields (name, company, email, phone, etc.). Transform Data – The extracted data is cleaned and mapped into the correct format. Google Sheets – A new row is appended to your designated Google Sheet, creating an organized contact database. Slack Notification – Finally, a confirmation message is sent back to Slack to let you know the contact has been successfully saved. How to use Copy the template into your n8n instance. Connect your Slack account to capture uploaded images. Set up your Google Sheets connection and choose the spreadsheet where contacts should be stored. Adjust the Contact Information extraction node if you want to capture custom fields (e.g., job title, address). Deploy and test: upload a business card image in Slack and confirm it’s added to Google Sheets automatically. Requirements n8n running (cloud). A Slack account with access to the channel where photos will be uploaded. A Google Sheets account with a target sheet prepared for storing contacts. AI/OCR capability enabled in your n8n (e.g., OpenAI, Google Vision, or another OCR/LLM provider). Basic access rights in both Slack and Google Sheets to read and write data. An n8n automation workflow template by Toshiki Hirao.

By Avkash Kakdiya

How it works This workflow automatically pulls daily signup stats from your PostgreSQL database and shares them with your team across multiple channels. Every morning, it counts the number of new signups in the last 24 hours, formats the results into a concise report, and posts it to Slack, Microsoft Teams, and Telegram. This ensures your entire team stays updated on customer growth without manual queries or reporting. Step-by-step Daily Trigger & Data Fetching The Daily Report Trigger runs at 9:00 AM each day. The Fetch Signup Count node queries the customers table in PostgreSQL. It calculates the number of new signups in the last 24 hours using the created_at timestamp column. Report Preparation The Prepare Report Message node formats the results into a structured message: Report date Signup count A clear summary line: Daily Signup Report – New signups in the last 24h: X Multi-Channel Delivery The prepared message is sent to multiple platforms simultaneously: Slack Microsoft Teams Telegram This ensures all teams receive the update in their preferred communication tool. Why use this? Automates daily customer growth reporting. Eliminates manual SQL queries and report sharing. Keeps the whole team aligned with real-time growth metrics. Delivers updates across Slack, Teams, and Telegram at once. Provides simple, consistent reporting every day. An n8n automation workflow template by Avkash Kakdiya.

By moosa

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Overview Automate your email management with this n8n workflow that fetches, summarizes, and shares critical emails from your Gmail inbox. Designed for busy professionals, this workflow runs daily to extract important emails from the past 24 hours, summarizes key details (like credentials, OTPs, deadlines, and action items), converts the summary into a PDF, and sends it to your Discord channel for quick access. Key Features Scheduled Automation**: Triggers daily at 8 PM to process emails from the last 24 hours. Gmail Integration**: Retrieves emails labeled "INBOX" and "IMPORTANT" using secure OAuth2 authentication (no hardcoded API keys). Smart Email Parsing**: Extracts essential fields (subject, sender, and plain text) while cleaning up URLs, extra lines, and formatting for clarity. AI-Powered Summarization**: Uses OpenAI's GPT-4.1-mini to create concise plain text and markdown summaries, highlighting urgent actions with "[Action Required]". PDF Conversion**: Converts the markdown summary into a professional PDF using PDF.co API. Discord Notifications**: Shares the PDF via a Discord webhook for seamless team communication. Why Use This Workflow? Save time by automating email triage and focusing on what matters. Stay organized with clear, actionable summaries delivered to Discord. Securely handle sensitive data with proper credential management. Perfect for teams, freelancers, or anyone managing high email volumes. Setup Instructions Configure Gmail OAuth2 credentials for secure access. Set up PDF.co API and Discord webhook credentials. Customize the schedule or filters as needed. Activate and let the workflow handle your daily email summaries!. An n8n automation workflow template by moosa.

By Atta

This workflow automates brand monitoring on X by analyzing both the text and the images in posts. It uses multi-modal AI to score brand relevance, filters out noise, logs important mentions in Airtable, and sends real-time alerts to a Telegram group for high-priority posts. What it does Traditional brand monitoring tools often miss the most authentic user content because they only track text. They can't "see" your logo in a photo or your product featured in a video without a direct keyword mention. This workflow acts as an AI agent that overcomes this blind spot. It finds mentions of your brand on X and then uses Google Gemini's multi-modal capabilities to perform a comprehensive analysis of both the text and any attached images. This allows it to understand the full context of a mention, score its relevance to your brand, and take the appropriate action, creating a powerful "visual intelligence" system. How it works The workflow runs on a schedule to find, analyze, and triage brand mentions. Get New Tweets: The workflow begins by using an Apify actor to scrape X for recent posts based on a defined set of search terms (e.g., Tesla OR $TSLA). It then filters these results to find unique mentions not already processed. Check for Duplicates: It cross-references each found tweet with an Airtable base to ensure it hasn't been analyzed before, preventing duplicate work. Analyze Post Content: For each new, unique post, the workflow performs two parallel analyses using Google Gemini: Analyze the Photos: The AI examines the images in the post to describe the scene, identify logos or products, and determine the visual mood. Analyze the Text: A separate AI call analyzes the text of the post to understand its context and sentiment. Final Relevance Check: A "Head Strategist" AI node receives the outputs from both the visual and text analyses. It synthesizes this information to assign a final brand relevance score from 1 to 10. Triage and Action: Based on this score, the workflow automatically triages the post: High Relevance (Score > 7): The post is logged in the Airtable base, and an instant, detailed alert is sent to a Telegram monitoring group. Medium Relevance (Score 4-7): The post is quietly logged in Airtable for later strategic review. Low Relevance (Score < 4): The post is ignored, effectively filtering out noise. Setup Instructions To get this workflow running, you will need to configure your Airtable base and provide credentials for Apify, Google, and Telegram. Required Credentials Apify: You will need an Apify API Token to run the X scraper. Airtable: You will need Airtable API credentials to connect to your base. Google AI: You will need credentials for the Google AI APIs to use the Gemini models. Telegram: You will need a Bot Token and the Chat ID for the channel where you want to receive high-relevance alerts. Of course. Based on the Config node parameters you provided, the setup process is much more centralized. Here is the corrected and rewritten "Step-by-Step Configuration" section. Of course. Here is the rewritten "Step-by-Step Configuration" section with the link to the advanced search documentation. Step-by-Step Configuration Set up Your Airtable Base: Before configuring the workflow, create a new table in your Airtable base. For the workflow to function correctly, this table must contain fields to store the analysis results. Create fields with the following names: postId, postURL, postText, postDateCreated, authorUsername, authorName, sentiment, relevanceScore, relevanceReasoning, mediaPhotosAnalysis, and status. Once the table is created, have your Base ID and Table ID ready to use in the Config node. Edit the Config Node: The majority of the setup is handled in the first Config node. Click on it and edit the following parameters in the "Expressions" tab: searchTerms: Replace the example with the keywords, hashtags, and accounts you want to monitor. The field supports advanced search operators for complex queries. For a full list of available parameters, see the Twitter Advanced Search documentation. airtableBaseId: Paste your Airtable Base ID here. airtableTableId: Paste your Airtable Table ID here. lang: Set the two-letter language code for the posts you want to find (e.g., "en" for English). min_faves: Set the minimum number of "favorites" a post should have to be considered. tweetsToScrape: Define the maximum number of posts the scraper should find in each run. actorId: This is the specific Apify actor for scraping X. You can leave this as is unless you intend to use a different one. Configure the Telegram Node: In the final node, "Send High Relevance Posts to Monitoring Group", you need to manually set the destination for the alerts. Enter the Chat ID for your Telegram group or channel. How to Adapt the Template This workflow is a powerful framework that can be adapted for various monitoring needs. Change the Source:* Replace the *Apify** node with a different trigger or data source. You could monitor Reddit, specific RSS feeds, or a news API for mentions. Customize the AI Logic:* The core of this workflow is in the AI prompts. You can edit the prompts in the *Google Gemini** nodes to change the analysis criteria. For example, you could instruct the AI to check for specific competitor logos, analyze the sentiment of comments, or identify if the post is from an influential account. Modify the Scoring:** Adjust the logic in the "Switch" node to change the thresholds for what constitutes a high, medium, or low-relevance post to better fit your brand's needs. Change the Actions:* Replace the *Telegram** node with a different action. Instead of sending an alert, you could: Create a ticket in a customer support system like Zendesk or Jira. Send a summary email to your marketing team. Add the post to a content curation tool or a social media management platform. An n8n automation workflow template by Atta.

By Axiomlab.dev

Tasks Briefing This template posts a clean, Slack-ready morning summary of your Google Tasks due today. It fetches tasks, filters only those due “today” in your timezone, asks a local LLM (via LangChain + Ollama) to produce a short summary (no steps, just a concise brief), strips any hidden <think> blocks, and delivers the message to your chosen Slack channel. How it works Trigger at Morning (Cron) – runs at 7:00 AM (you can change the hour) to kick things off daily. Get many tasks (Google Tasks node) – pulls tasks from your selected Google Tasklist. Code (Filter Due Today) – normalizes dates to your timezone, keeps only tasks due today, and emits a fallback flag if none exist. If – routes: True (has tasks) → continues to the LLM summary path. False (no tasks) → sends a “No tasks due today” message to Slack. Code (Build LLM Prompt) – builds a compact, Markdown-only prompt for the model (no tool calls). Basic LLM Chain (LangChain) + Ollama Model – generates a short summary for Slack. Code (Cleanup) – removes any <think>…</think> content if the model includes it. Send a message (Slack) – posts the final brief to your Slack channel. Required credentials Google Tasks OAuth2 API** – to read tasks from your Google Tasklist. Slack API** – to post the summary into a channel. Ollama** – local model endpoint (e.g., qwen3:4b); used by the LangChain LLM nodes. Setup Instructions Google Tasks credential In Google Cloud Console: enable Google Tasks API, create an OAuth Client (Web), and set the redirect URI shown by n8n. In n8n Credentials, add Google Tasks OAuth2 API with scope: https://www.googleapis.com/auth/tasks (read/write) or https://www.googleapis.com/auth/tasks.readonly (read-only). In the Get many tasks node, select your credential and your Tasklist. Slack credential & channel In n8n Credentials, add Slack API (bot/user token with chat:write). In Send a message nodes, select your Slack credential and set the Channel (e.g., #new-leads). Ollama model (LangChain) Ensure Ollama is running on your host (default http://localhost:11434). Pull a model (e.g., ollama pull qwen3:4b) or use another supported model (llama3:8b, etc.). In Ollama Model node, select your Ollama credential and set the model name to match what you pulled. Timezone & schedule The Cron node is set to 7:00 AM. Adjust as needed. The Code (Filter Due Today) node is configured for Asia/Dhaka; change the TZ constant if you prefer a different timezone. (Optional) Cleanup safety The template includes a Code (Cleanup) node that strips <think>…</think> blocks from model output. Keep this connected before the Slack node. Test the flow Run the workflow once manually: If you have tasks due today, you should see a concise summary posted to your Slack channel. If none are due, you’ll receive a friendly “No tasks due today” message. Activate When everything looks good, toggle the workflow Active to receive the daily summary automatically. An n8n automation workflow template by Axiomlab.dev.

By LeeWei

Overview of the n8n Workflow This n8n workflow automates sales processes using AI agents integrated with Airtable as a CRM and Gmail for email handling. It consists of two main workflows: one for handling Airtable status changes to send automated emails, and another for processing incoming emails to add new leads to the CRM or respond to existing leads/clients. The agents personalize emails, research leads via web searches, update CRM notes, and include human approval for responses. Sticky Notes: Setup and Customization Guidance The workflows include sticky notes with Markdown formatting for key instructions (assume these are added to the cloned workflows): Editable Fields (Airtable and Gmail Credentials) Editable Fields Update Airtable base ID and table ID in trigger/search nodes to match your CRM. Set Gmail credentials for triggers and email nodes. Editable Fields (API Keys and Models) Editable Fields Replace Tavily API key in HTTP request nodes with your own (sign up at tavily.com). Update OpenAI model in chat model nodes if needed (e.g., to gpt-4o). Editable Fields (Google Docs Templates) Editable Fields Replace Google Docs URLs in document nodes with your own templates for each status/email type. Ensure Google Docs credentials have read access. How to Set Up the Workflow To use these workflows in n8n (setup time: ~10-15 minutes): Import the JSONs: Paste the provided JSON into n8n to create the two workflows ("Airtable sales agent" and "Email sales Agent"). Configure Credentials: Airtable: Add API token credentials for your base. Gmail: Set up OAuth2 credentials for your email account. OpenAI: Add API key for chat models. Google Docs: Set up OAuth2 credentials with read access to your templates. Update Editable Fields: In Airtable nodes: Set your base ID and table ID. In HTTP nodes: Replace Tavily API key. In Google Docs nodes: Update URLs to your email templates/knowledge base. No need to rebuild nodes; all are pre-configured. Activate Workflows: Enable the triggers and test with sample data. Potential Customizations Change Status Templates**: Add more switch outputs and Google Docs nodes for additional Airtable statuses. Adjust AI Prompts**: Modify system messages in AI Agent nodes for different personalization or response styles. Replace Search API**: Swap Tavily HTTP requests with another search tool if preferred. Add More Tools**: Extend the AI Agent with additional tools for CRM updates or integrations. Considerations and Improvements API Limits**: Monitor Tavily and OpenAI usage to avoid rate limits; add waits if needed. Error Handling**: Add IF nodes for cases like no matching lead or failed searches. Data Privacy**: Ensure sensitive lead data in Airtable and emails complies with regulations. Testing**: Use test emails and Airtable records to verify before going live. Conclusion These n8n workflows create an efficient AI-powered sales system, automating lead addition, CRM updates, and email communications with minimal setup. They integrate seamlessly with Airtable and Gmail, allowing focus on high-value tasks. Customize as needed via the editable fields outlined. An n8n automation workflow template by LeeWei.

By Mohamed Abdelwahab

1. Overview The IngestionDocs workflow is a fully automated **document ingestion and knowledge management system* built with *n8n**. Its purpose is to continuously ingest organizational documents from Google Drive, transform them into vector embeddings using OpenAI, store them in Pinecone, and make them searchable and retrievable through an AI-powered Q&A interface. This ensures that employees always have access to the most up-to-date knowledge base without requiring manual intervention. 2. Key Objectives Automated Ingestion** → Seamlessly process new and updated documents from Google Drive.\ Change Detection** → Track and differentiate between new, updated, and previously processed documents.\ Knowledge Base Construction** → Convert documents into embeddings for semantic search.\ AI-Powered Assistance** → Provide an intelligent Q&A system for employees to query manuals.\ Scalable & Maintainable** → Modular design using n8n, LangChain, and Pinecone. 3. Workflow Breakdown A. Document Monitoring and Retrieval The workflow begins with two Google Drive triggers: File Created Trigger → Fires when a new document is uploaded.\ File Updated Trigger → Fires when an existing document is modified.\ A search operation lists the files in the designated Google Drive folder.\ Non-downloadable items (e.g., subfolders) are filtered out.\ For valid files: The file is downloaded.\ A SHA256 hash is generated to uniquely identify the file's content. B. Record Management (Google Sheets Integration) To keep track of ingestion states, the workflow uses a **Google Sheets--based Record Manager**:\ Each file entry contains:\ Id** (Google Drive file ID)\ Name** (file name)\ hashId** (SHA256 checksum)\ The workflow compares the current file's hash with the stored one:\ New Document** → File not found in records → Inserted into the Record Manager.\ Already Processed** → File exists and hash matches → Skipped.\ Updated Document** → File exists but hash differs → Record is updated. This guarantees that only new or modified content is processed, avoiding duplication. C. Document Processing and Vectorization Once a document is marked as new or updated:\ Default Data Loader extracts its content (binary files supported).\ Pages are split into individual chunks.\ Metadata such as file ID and name are attached.\ Recursive Character Text Splitter divides the content into manageable segments with overlap.\ OpenAI Embeddings (text-embedding-3-large) transform each text chunk into a semantic vector.\ Pinecone Vector Store stores these vectors in the configured index:\ For new documents, embeddings are inserted into a namespace based on the file name.\ For updated documents, the namespace is cleared first, then re-ingested with fresh embeddings. This process builds a scalable and queryable knowledge base. D. Knowledge Base Q&A Interface The workflow also provides an **interactive form-based user interface**:\ Form Trigger** → Collects employee questions.\ LangChain AI Agent**:\ Receives the question.\ Retrieves relevant context from Pinecone using vector similarity search.\ Processes the response using OpenAI Chat Model (gpt-4.1-mini).\ Answer Formatting**:\ Responses are returned in HTML format for readability.\ A custom CSS theme ensures a modern, user-friendly design.\ Answers may include references to page numbers when available. This creates a self-service knowledge base assistant that employees can query in natural language. 4. Technologies Used n8n** → Orchestration of the entire workflow.\ Google Drive API** → File monitoring, listing, and downloading.\ Google Sheets API** → Record manager for tracking file states.\ OpenAI API**: text-embedding-3-large for semantic vector creation.\ gpt-4.1-mini for conversational Q&A.\ Pinecone** → Vector database for embedding storage and retrieval.\ LangChain** → Document loaders, text splitters, vector store connectors, and agent logic.\ Crypto (SHA256)** → File hash generation for change detection.\ Form Trigger + Form Node** → Employee-facing Q&A submission and answer display.\ Custom CSS** → Provides a modern, responsive, styled UI for the knowledge base. 5. End-to-End Data Flow Employee uploads or updates a document → Google Drive detects the change.\ Workflow downloads and hashes the file → Ensures uniqueness and detects modifications.\ Record Manager (Google Sheets) → Decides whether to skip, insert, or update the record.\ Document Processing → Splitting + Embedding + Storing into Pinecone.\ Knowledge Base Updated → The latest version of documents is indexed.\ Employee asks a question via the web form.\ AI Agent retrieves embeddings from Pinecone + uses GPT-4.1-mini → Generates a contextual answer.\ Answer displayed in styled HTML → Delivered back to the employee through the form interface. 6. Benefits Always Up-to-Date** → Automatically syncs documents when uploaded or changed.\ No Duplicates** → Smart hashing ensures only relevant updates are reprocessed.\ Searchable Knowledge Base** → Employees can query documents semantically, not just by keywords.\ Enhanced Productivity** → Answers are immediate, reducing time spent browsing manuals.\ Scalable** → New documents and users can be added without workflow redesign. ✅ In summary, IngestionDocs is a **robust AI-driven document ingestion and retrieval system* that integrates *Google Drive, Google Sheets, OpenAI, and Pinecone* within *n8n**. It continuously builds and maintains a knowledge base of manuals while offering employees an intelligent, user-friendly Q&A assistant for fast and accurate knowledge retrieval. An n8n automation workflow template by Mohamed Abdelwahab.

By Nabin Bhandari

Who’s it for This template is for businesses, customer support teams, and professionals who want to deliver AI-powered WhatsApp assistance. It helps automate conversations, schedule meetings, answer FAQs, and send follow-up emails — all from WhatsApp. How it works A customer sends a WhatsApp message, which is captured by the Twilio Trigger. The incoming text is formatted and passed to the AI Support Agent. Based on the request, the agent can: Manage Google Calendar events (create, list, delete). Answer questions from your knowledge base (Supabase + embeddings). Draft and send emails via Gmail. Reply directly on WhatsApp with the appropriate response. How to set up Connect your Twilio account with WhatsApp enabled. Add your OpenAI API key. Connect Google Calendar. Connect Gmail. Configure Supabase for knowledge base storage. Requirements Twilio account (with WhatsApp number) OpenAI API key Google Calendar Gmail account Supabase project How to customize Update the Set Fields node with your Twilio number, API keys, and Gmail details. Add custom documents to Supabase for domain-specific FAQs. Adjust AI prompts for different roles (e.g., booking bot, HR assistant, customer support). Extend by adding more tools (CRM, Slack, Notion, etc.) as needed. An n8n automation workflow template by Nabin Bhandari.

By Evoort Solutions

📥 TikTok to MP4 Converter with Google Drive & Sheets Convert TikTok videos to MP4 , MP3 (without watermark), upload to Google Drive, and log conversion attempts into Google Sheets automatically — powered by TikTok Download Audio Video API. 📝 Description This n8n automation accepts a TikTok video URL via a form, sends it to the TikTok Download Audio Video API, downloads the watermark-free MP4, uploads it to Google Drive, and logs the result (success/failure) into Google Sheets. 🧩 Node-by-Node Overview | # | Node | Functionality | |---|-------------------------------|-------------------------------------------------------------------------------| | 1 | 🟢 Form Trigger | Displays a form for user input of TikTok video URL. | | 2 | 🌐 TikTok RapidAPI Request | Calls the TikTok Downloader API to get the MP4 link. | | 3 | 🔍 If Condition | Checks if the API response status is "success". | | 4 | ⬇️ MP4 Downloader | Downloads the video file using the returned "no watermark" MP4 URL. | | 5 | ☁️ Upload to Google Drive | Uploads the video file to Google Drive root folder. | | 6 | 🔑 Set Google Drive Permission | Makes the file publicly shareable via link. | | 7 | 📄 Google Sheets (Success) | Logs TikTok URL + public Drive link into a Google Sheet. | | 8 | ⏱️ Wait Node | Delays to prevent rapid write operations on error. | | 9 | 📑 Google Sheets (Failure) | Logs failed attempts with Drive_URL = N/A. | ✅ Use Cases 📲 Social media managers downloading user-generated content 🧠 Educators saving TikTok content for offline lessons 💼 Agencies automating short-form video curation 🤖 Workflow automation demonstrations with n8n 🎯 Key Benefits ✔️ MP4 without watermark via TikTok Download Audio Video API ✔️ Automated Google Drive upload & shareable links ✔️ Centralized logging in Google Sheets ✔️ Error handling and retry-safe structure ✔️ Fully customizable and extendable within n8n 💡 Ideal for anyone looking to automate TikTok video archiving with full control over file storage and access. 🔐 How to Get Your API Key for the TikTok Download Audio Video API Go to 👉 TikTok Download Audio Video API - RapidAPI Click "Subscribe to Test" (you may need to sign up or log in). Choose a pricing plan (there’s a free tier for testing). After subscribing, click on the "Endpoints" tab. Your API Key will be visible in the "x-rapidapi-key" header. 🔑 Copy and paste this key into the httpRequest node in your workflow. Create your free n8n account and set up the workflow in just a few minutes using the link below: 👉 Start Automating with n8n. An n8n automation workflow template by Evoort Solutions.

By Tharwat Mohamed

Overview 📌 This template is a multimodal WhatsApp assistant that understands text, images, and audio, aggregates media inputs, and returns intelligent replies using Google Gemini. It can fetch knowledge from Google Docs, log conversations into Google Sheets, and respond via WhatsApp — all orchestrated inside n8n. Features ✨ Multimodal input handling: Receives images and audio from WhatsApp, analyzes them, and sends contextual responses. 🖼️🎧 Audio transcription: Converts voice messages to text for analysis. 🔊➡️📝 Image analysis: Extracts objects/labels/text from images to inform responses. 🖼️🔍 Knowledge fetch: Pulls relevant documents from Google Docs for richer answers. 📄📚 Conversation logging: Appends each interaction to Google Sheets for auditing or analytics. 📈 Modular design: Clear subflows for media reception, transcription, image analysis, aggregation, and the AI Agent. ⚙️ Ready for customization: Swap models, change providers, or extend with a vector store. 🔁 Requirements ✅ n8n instance (self-hosted or n8n.cloud) with public webhook access Google Cloud project with these APIs enabled: Vertex AI (Gemini), Cloud Vision API, Cloud Speech-to-Text, Drive & Docs & Sheets 🧠 Google Service Account JSON key (with permissions for above services) 🔐 WhatsApp Business API provider credentials (Twilio, 360dialog, or similar) 📞 (Optional) Pinecone or another vector store if you want embeddings / retrieval augmentation 🗂️ Setup Instructions 🔧 Import the workflow Download the .json from your package and in n8n Editor → Import → From File → select JSON. Save. Create credentials Google Service Account: Create service account in GCP, grant Vertex AI, Vision, Speech, Drive, Docs, Sheets roles, download JSON → create n8n Google Service Account credential and upload JSON. WhatsApp: Add your WhatsApp API credentials (API key/token, phone ID, webhook secret). (Optional) Vector store: Add Pinecone credentials if using embeddings. Configure media receiver nodes WhatsApp Trigger: Ensure webhook URL is set on your WhatsApp provider to forward incoming messages/media to n8n. 🌐 Audio Receiver nodes: point to incoming audio payload path or download URL. 🎧 Image Receiver nodes: point to image URL or attachment field. 🖼️ Transcription & Image Analysis Transcribe Audio: Select Google Speech-to-Text via your Google Service Account credential. Confirm language and sampling settings. 🗣️➡️📝 Analyze Image: Point to Vision API via same Google credential. Choose required outputs (labels, landmarks, OCR). 🔎 Aggregate media Confirm the Aggregate node collects text + transcribed audio + image analysis results into a single payload for the AI Agent. 🧩 AI Agent (Gemini) Open AI Agent node → choose your Google Gemini/Vertex AI credentials. Edit System Prompt to include: how to prioritize image/audio text, where to look up knowledge (Docs), and style/tone. Replace placeholders (business name, policies). ✍️ Knowledge Fetch (Google Docs) Configure Get a document in Google Docs node to point to your knowledge docs folder or specific document IDs. 📂 Conversation Logging Configure Google Sheets node to append rows to your chosen spreadsheet (structure below). 🧾 WhatsApp Reply Map AI Agent output to the WhatsApp Send message node and choose template messaging if needed. 💬 Test end-to-end Activate the workflow, send a text message, an image, and an audio message to your WhatsApp test number. Verify the AI reply and that logs appear in Google Sheets. 🧪 Google Sheet: Conversation Log (suggested columns) 🗒️ Column Type Description Timestamp Date/Time When the message arrived UserID Text WhatsApp user identifier (phone) MessageType Text text / image / audio / mixed MessageText Text Original text or transcribed text ImageAnalysis Text Vision API summary / labels / OCR text AttachmentURL Text Link to image/audio file AIResponse Text Final text reply sent to user Notes Text Any extra flags (e.g., escalation) Customization 🔁 Swap Gemini with another model provider by changing the AI node credentials and prompt structure. 🔄 Add a vector store (Pinecone) to enable retrieval-augmented generation from indexed docs. 🧠 Extend image analysis to OCR for receipts/invoices or barcode detection. 📑 Add an escalation path (send to human) by adding an “If → Escalate” node when confidence is low. 🚨 Suggested Node Renaming (for clarity) 🏷️ Rename generic nodes to explicit names so reviewers and users instantly understand flow: WhatsApp Trigger → WhatsApp Trigger (Inbound) Switch → Message Type Router audio receiver1/2 → Audio Receiver (Download) / Audio Receiver (Fallback) 🎧 Transcribe a recording → Transcribe Audio (Speech-to-Text) 📝 image receiver1/2 → Image Receiver (Download) / Image Receiver (Fallback) 🖼️ Analyze image → Image Analysis (Vision API) 🔍 Aggregate → Aggregate Media Inputs 🧩 AI Agent → Multimodal AI Agent (Gemini) 🤖 Get a document in Google Docs → Fetch Knowledge Doc 📂 Code → Format AI Response 🧾 Send message → WhatsApp – Send Reply 💬 Testing & Going Live 🚀 Ensure n8n webhook is publicly reachable (use an SSL domain/tunnel). 🔒 Test in a sandbox WhatsApp number first. 🧪 Monitor n8n Executions and enable an Error Workflow for graceful failure handling. ⚠️ If you expect high media volume, consider storage/retention policy for attachments. 🗄️ Support & Notes 🤝 I offer setup assistance and will help troubleshoot credential issues or prompt tuning until your workflow is working perfectly. Include contact info and a short support pledge in your template description to build trust. Feel free to ping me anytime—even after launch!👉 Contact: tharwat.elsayed2000@gmail.com | +20 106 180 3236. An n8n automation workflow template by Tharwat Mohamed.

By Avkash Kakdiya

How it works This workflow captures new leads from Typeform, instantly checks if their budget is above $5,000, and prioritizes them for faster sales follow-up. High-budget leads are enriched in HubSpot as contacts with detailed properties, and a priority task is created for the sales team. Leads are then routed based on their source (Facebook or SurveyMonkey), logged into Google Sheets for marketing or campaign tracking, and finally, a Slack notification is sent to alert the team in real time. Step-by-step Capture & Qualify Leads The workflow triggers on new Typeform submissions. It evaluates the budget field to identify high-priority leads (>$5,000). CRM Enrichment High-priority leads are automatically created or updated as contacts in HubSpot. A priority follow-up task is logged in HubSpot with the lead’s budget details. Source-Based Routing If the lead comes from Facebook or SurveyMonkey, their details are logged in a Google Sheet. This ensures marketing and campaign teams can analyze and track leads separately. Team Notifications Once logged, the workflow sends a Slack message to the sales/marketing channel. The message includes the lead’s name, email, phone, budget, and source, ensuring instant visibility for follow-up. Why use this? Automatically qualifies high-value leads based on budget. Syncs lead details seamlessly with HubSpot CRM. Routes leads by source for better campaign tracking. Keeps sales and marketing teams aligned with real-time Slack alerts. Cuts down manual effort, ensuring faster response times and higher conversion rates. An n8n automation workflow template by Avkash Kakdiya.

By Robert Breen

Capture new Jotform submissions and instantly create items on a Monday.com board with mapped columns (email, date, dropdowns, instructions, etc.). 🛠️ Setup — Jotform (simple) Add your Jotform API key (Jotform Account → Settings → API → Create Key). Create your form template in Jotform (use fields like Name, Email, Start Date, Engagement Type, Campaign Type, Instructions). In n8n, open the Jotform Trigger node and choose your Jotform template/form from the dropdown. That’s it. 🛠️ Setup — Monday.com In Monday.com, generate an API token (Admin/Developers → API). In n8n → Credentials → New → Monday.com, paste your API token. Identify and set: Board ID (from your board URL or via node “List” operations) Group ID (e.g., topics) Column IDs that match your board (examples used by this workflow): text_mkvdj8v3 → Email (Text) date_mkvdg4aa → Start Date (Date) dropdown_mkvdjwra → Engagement Type (Dropdown) dropdown_mkvdd9v3 → Campaign Type (Dropdown) text_mkvd2md9 → Campaign Type (as Text label) text_mkvd1bj2 → Instructions (Text) text_mkvd5w3y → Domain (Text) Update the label → ID mappings inside the Monday.com node if your dropdown IDs differ (e.g., Engagement A → 1, Engagement B → 2). ✅ Notes (best practices) No secrets in nodes: store tokens in n8n Credentials. Use the included Sticky Notes for quick reference inside the workflow. Test once in Jotform to see the payload flow into Monday. 📬 Contact Need help customizing this (e.g., extra fields, file uploads, or routing by campaign)? 📧 rbreen@ynteractive.com 🔗 Robert Breen — https://www.linkedin.com/in/robert-breen-29429625/ 🌐 ynteractive.com — https://ynteractive.com. An n8n automation workflow template by Robert Breen.

By Robert Breen

Automatically research new leads in your target area, structure the results with AI, and append them into Google Sheets — all orchestrated in n8n. ✅ What this template does Uses Perplexity to research businesses (coffee shops in this example) with company name + email Cleans and structures the output into proper JSON using OpenAI Appends the new leads directly into Google Sheets, skipping duplicates > Trigger: Manual — “Start Workflow” 👤 Who’s it for Sales & marketing teams** who need to prospect local businesses Agencies** running outreach campaigns Freelancers** and consultants looking to automate lead research ⚙️ How it works Set Location → define your target area (e.g., Hershey PA) Get Current Leads → pull existing data from your Google Sheet to avoid duplicates Research Leads → query Perplexity for 20 businesses, excluding already-scraped ones Write JSON → OpenAI converts Perplexity output into structured Company/Email arrays Split & Merge → align Companies with Emails row-by-row Send Leads to Google Sheets → append or update leads in your sheet 🛠️ Setup instructions Follow these sticky-note setup steps (already included in the workflow): 1) Connect Google Sheets (OAuth2) In n8n → Credentials → New → Google Sheets (OAuth2) Sign in with your Google account and grant access In the Google Sheets node, select your Spreadsheet and Worksheet Example sheet: https://docs.google.com/spreadsheets/d/1MnaU8hSi8PleDNVcNnyJ5CgmDYJSUTsr7X5HIwa-MLk/edit#gid=0 2) Connect Perplexity (API Key) Sign in at https://www.perplexity.ai/account Generate an API key: https://docs.perplexity.ai/guides/getting-started In n8n → Credentials → New → Perplexity API, paste your key 3) Connect OpenAI (API Key) In n8n → Credentials → New → OpenAI API Paste your OpenAI API key In the OpenAI Chat Model node, select your credential and a vision-capable model (e.g., gpt-4o-mini, gpt-4o) 🔧 Requirements A free Google account An OpenAI API key (https://platform.openai.com) A Perplexity API key (https://docs.perplexity.ai) n8n self-hosted or cloud instance 🎨 How to customize Change the Search Area in the Set Location node Modify the Perplexity system prompt to target different business types (e.g., gyms, salons, restaurants) Expand the Google Sheet schema to include more fields (phone, website, etc.) 📬 Contact Need help customizing this (e.g., filtering by campaign, sending reports by email, or formatting your Google Sheet)? 📧 robert@ynteractive.com 🔗 Robert Breen 🌐 ynteractive.com. An n8n automation workflow template by Robert Breen.

By Lucas Walter

AI Influencer Ad Creative Generator Generate authentic-looking influencer marketing content by automatically combining your product images with reference photos of potential brand ambassadors. This workflow uses Google's Gemini AI to create realistic promotional images showing influencers naturally using your products in casual settings, perfect for social media campaigns and marketing materials. How it works Upload your product image** through a simple web form interface Automatically processes reference influencer photos** stored in your Google Drive folder AI generates realistic promotional images** using Gemini 2.5 Flash, showing each influencer naturally holding/using your product in cafe settings Saves all generated images** to your designated Google Drive output folder with organized naming Batch processes multiple influencer images** to create a complete campaign asset library The workflow creates candid, authentic-looking photos that appear as if a friend took a picture of the influencer enjoying your product - perfect for social media advertising that doesn't look overly promotional. Set up steps Connect Google Drive account to n8n for accessing influencer reference images and saving outputs Set up Google Gemini API credentials for AI image generation capabilities Create two Google Drive folders: one for storing your reference influencer photos, another for generated campaign assets Configure folder IDs in the workflow nodes to point to your specific Drive locations Upload reference influencer images to your source folder (headshots or casual photos work best) Deploy the form trigger to get your webhook URL for product image uploads Requirements: Google Drive account, Google Cloud account with Gemini API access, collection of reference influencer photos. An n8n automation workflow template by Lucas Walter.

By Stéphane Heckel

Manage LinkedIn Invitations with Browserflow Automate personalized LinkedIn outreach while maintaining human-like behavior Overview This workflow helps you send targeted LinkedIn invitations with customized messages, automatically checking existing connections to avoid duplicate requests. Perfect for recruiters, sales professionals, and anyone building their professional network systematically. How It Works Contact Management: Store your prospects in a Google Sheet with their LinkedIn profile URLs Connection Verification: Automatically check if you're already connected to avoid duplicate invitations Smart Invitations: Send personalized invitations to new contacts Progress Tracking: Update the Google Sheet with invitation status Setup Instructions Prerequisites Google account** with Sheets access Browserflow account** with available credits (sign up here) n8n instance** (tested on version 1.109.1) Step-by-Step Setup Prepare Your Contact List Download the Google Sheet Template Make a copy to your Google Drive Extract the Sheet ID from your URL (the string between /d/ and /edit) Configure Workflow Settings Open the settings node and enter your Google Sheet ID Customize your invitation message in the message node Set up your Google Sheets credentials Configure your Browserflow credentials Populate Your Data Add contacts to your Google Sheet with their LinkedIn profile URLs Test & Deploy Run a test with 1-2 contacts first (update the Limit node) Monitor execution and adjust Wait if needed Important Considerations Responsible Usage**: This tool mimics human behavior and respects LinkedIn's natural usage patterns. It's designed for quality networking, not mass spamming. Rate Limits**: Stay within LinkedIn's acceptable limits. Account Safety**: Excessive automation can result in LinkedIn restrictions. Always prioritize authentic, valuable connections. Support & Community Need assistance? Here's how to get help: LinkedIn Discussion**: Comment on this workflow post Direct Contact**: Connect with me on LinkedIn Community Forum**: Ask questions in the n8n Community. An n8n automation workflow template by Stéphane Heckel.

By Zeinabsadat Mousavi Amin

Overview When designing user interfaces, toolbar icons often get overlooked, even though their placement and grouping dramatically impact usability and user flow. This workflow leverages Gemini AI to automatically analyze UI screens, classify toolbar icons based on Apple’s Human Interface Guidelines (HIG), and suggest optimal placements. By combining AI analysis with structured placement logic, this workflow helps designers build more consistent, efficient, and user-friendly interfaces—without spending hours manually arranging icons. 🚀 Features AI Classification**: Uses Gemini AI to analyze screenshots and classify icons into roles like .primaryAction, .navigation, .confirmationAction, and more. HIG-Based Placement**: Automatically assigns icons to the correct toolbar areas—Leading (Left), Trailing (Right), Center, Bottom, or System-decided. Usage-Aware Reordering**: Reorders icons based on frequency of use so the most relevant actions appear where users expect them. JSON Output**: Delivers structured results for seamless integration into design tools or documentation. 🔧 Setup Instructions Install the Workflow: Import the workflow into your n8n instance. Configure Input: Upload a screenshot of your UI. Upload a set of icons you want to classify and place. Set Up Gemini AI Node: Add your Gemini AI API key in the node’s credentials. Run the Workflow: Submit the inputs and let the AI classify and assign placements. Export Results: Copy the JSON output or connect the workflow to your preferred design/documentation tools. ⚙️ How It Works Form Submission – Capture screenshot + icons. Gemini AI Agent – Interprets screen context and classifies each icon. Placement Logic – Maps icons to the correct toolbar areas. Reordering – Adjusts order based on relevance and HIG standards. Structured Output – Produces clean JSON for further use. 🎨 Customization Change AI Prompts**: Modify the Gemini AI node prompts to reflect your app’s design language. Adjust Placement Rules**: Update logic to follow custom guidelines beyond Apple HIG. Integrate with Design Tools**: Send the JSON output directly to tools like Figma, Sketch, or internal systems. 💡 Why This Matters Consistency**: Ensures toolbar designs always follow Apple’s HIG. Efficiency**: Saves designers hours of manual icon placement. Scalability**: Works across multiple screens, flows, and apps. AI-Assisted Design**: Augments designer decisions with structured insights instead of replacing them. An n8n automation workflow template by Zeinabsadat Mousavi Amin.

By curseduca.com

📘 Curseduca – User Creation & Access Group Assignment How it works This workflow automates the process of creating a new user in Curseduca and granting them access to a specific access group. It works in two main steps: Webhook – Captures user details (name, email, and group information). HTTP Request – Sends the data to the Curseduca API, creating the user, assigning them to the correct access group, and sending an email notification. Setup steps Deploy the workflow Copy the webhook URL generated by n8n. Send a POST request with the required fields: name email groupId Configure API access Add your API Key and Bearer token in the HTTP Request node headers (replaCurseducace placeholders). Replace <GroupId> in the body with the correct group ID. Notifications By default, the workflow will trigger an email notification to the user once their account is created. Example use cases Landing pages**: Automatically register leads who sign up on a product landing page and grant them immediate access to a course, training, or bundle. Product bundles**: Offer multiple products or services together and instantly give access to the correct group after purchase. Chatbot integration: Connect tools like **Manychat to capture name and email via chatbot conversations and create the user directly in Curseduca. 📘 Curseduca – Criação de Usuário e Liberação de Grupo de Acesso Como funciona Este fluxo de trabalho automatiza o processo de criação de um novo usuário no Curseduca e a liberação de acesso a um grupo específico. Ele funciona em duas etapas principais: Webhook – Captura os dados do usuário (nome, e-mail e informações de grupo). HTTP Request – Envia os dados para a API do Curseduca, criando o usuário, atribuindo-o ao grupo correto e disparando uma notificação por e-mail. Passos de configuração Publicar o workflow Copie a URL do webhook gerada pelo n8n. Envie uma requisição POST com os campos obrigatórios: name email groupId Configurar o acesso à API Adicione sua API Key e Bearer token nos headers do nó HTTP Request (substitua os placeholders). Substitua <GroupId> no corpo da requisição pelo ID correto do grupo. Notificações Por padrão, o fluxo dispara uma notificação por e-mail para o usuário assim que a conta é criada. Casos de uso Landing pages**: Registre automaticamente leads que se inscrevem em uma landing page de produto e libere acesso imediato a um curso, treinamento ou pacote. Pacotes de produtos**: Ofereça múltiplos produtos ou serviços em conjunto e conceda acesso instantâneo ao grupo correto após a compra. Integração com chatbots: Conecte ferramentas como o **Manychat para capturar nome e e-mail em conversas e criar o usuário diretamente no Curseduca. An n8n automation workflow template by curseduca.com.

By Rahul Joshi

Description: Deliver instant answers and automate customer support on WhatsApp with this intelligent n8n workflow template! The system routes incoming messages using keyword-based logic and provides dynamic, AI-powered responses for greetings, FAQs, and complex queries—ensuring your customers always get the right reply without manual effort. This automation is designed for businesses, service providers, and support teams who want to streamline WhatsApp engagement, reduce manual workload, and provide consistent, conversational answers that scale with demand. What This Template Does (Step-by-Step): 📲 Capture Incoming WhatsApp Messages Triggers on every new message received via WhatsApp API. 🔄 Keyword-Based Routing Sequential IF conditions check for predefined keywords (e.g., “hi”, “pricing”, “support”). 💬 Send Tailored Keyword Responses Returns fast, pre-written responses for greetings, FAQs, or common scenarios. 🤖 AI-Powered Fallback with OpenAI Chat Model For advanced or unrecognized queries, the workflow generates context-aware, conversational answers using AI. 🚀 Deliver Automated Replies in Real Time Replies are instantly sent back to WhatsApp for seamless customer communication. 📊 Optional: Conversation Logging Extend the template to log chats in Notion, Airtable, or your CRM for tracking and insights. Perfect For: Customer support teams handling repetitive queries Businesses wanting instant replies for FAQs & greetings Service providers delivering personalized, scalable engagement Anyone looking to combine rule-based automation with AI intelligence Built With: WhatsApp API (message triggers & replies) n8n IF Node (keyword routing) OpenAI Chat Model (AI fallback for complex queries) Extendable storage (Notion, Google Sheets, Airtable, etc.) Key Benefits: ✅ Faster, automated customer support on WhatsApp 🔍 Accurate, human-like replies for complex questions 🧠 Hybrid system: keyword rules + AI intelligence 📒 Centralized chat logging for insights (optional) 🛠 100% no-code and customizable in n8n. An n8n automation workflow template by Rahul Joshi.

By Rahul Joshi

Description: Transform your spreadsheet data into actionable intelligence with this smart n8n workflow template! This automation extracts sales, lead, and customer data from spreadsheets, analyzes it with Azure OpenAI, and delivers concise, prioritized summaries straight to your team’s Telegram—keeping everyone aligned without manual reporting. Perfect for sales teams, managers, and business owners, this workflow ensures that critical insights, performance trends, and lead recommendations are instantly available where your team communicates most. What This Template Does (Step-by-Step): 📂 Extract Spreadsheet Data Fetches customer, lead, and sales information from Google Sheets, Excel, or CSV files. 🧹 Prepare & Structure Data Cleans and formats entries for accurate AI analysis. 🤖 AI-Powered Insights with Azure OpenAI Analyzes sales and lead data to surface key metrics, trends, and per-lead recommendations. 📊 Generate Clear Summary Reports Compiles insights into a concise, easy-to-read digest for decision-making. 📲 Send Summaries to Telegram Instantly delivers formatted reports to your group or channel for real-time visibility. Perfect For: Sales teams tracking pipeline performance Managers monitoring KPIs and trends Business owners seeking actionable insights without manual reporting Teams needing instant updates on opportunities and next steps Built With: Spreadsheet integrations (Google Sheets, Excel, CSV) Azure OpenAI (AI-driven insights & recommendations) Telegram API (team-wide report delivery) n8n workflow logic (data preparation & formatting) Key Benefits: ✅ AI-driven sales insights without manual effort 🔍 Clear prioritization of leads and opportunities 🧠 Smarter, faster decision-making with real-time reports 📒 Centralized updates for full team visibility 🛠 100% no-code and fully customizable in n8n. An n8n automation workflow template by Rahul Joshi.

By Guillaume Duvernay

Go beyond basic AI-generated text and create articles that are well-researched, comprehensive, and credible. This template automates an advanced content creation process that mimics a professional writing team: it plans, researches, and then writes. Instead of just giving an AI a topic, this workflow first uses an AI "planner" to break the topic down into logical sub-questions. Then, it deploys an AI "researcher" powered by Linkup to search the web for relevant insights and sources for each question. Finally, this complete, sourced research brief is handed to a powerful AI "writer" to compose a high-quality article, complete with hyperlinks back to the original sources. Who is this for? Content marketers & SEO specialists:** Scale the production of well-researched, link-rich articles that are built for authority and performance. Bloggers & thought leaders:** Quickly generate high-quality first drafts on any topic, complete with a list of sources for easy fact-checking and validation. Marketing agencies:** Dramatically improve your content turnaround time by automating the entire research and first-draft process for clients. What problem does this solve? Adds credibility with sources:** Solves one of the biggest challenges of AI content by automatically finding and preparing to include hyperlinks to the web sources used in the research, just as a human writer would. Ensures comprehensive coverage:** The AI-powered "topic breakdown" step prevents superficial content by creating a logical structure for the article and ensuring all key aspects of a topic are researched. Improves content quality and accuracy:** The "research-first" approach provides the final AI writer with a rich brief of specific, up-to-date information, leading to more detailed and factually grounded articles than a simple prompt ever could. Automates the entire writing workflow:** This isn't just an AI writer; it's an end-to-end system that automates the planning, research, and drafting process, saving you hours of manual work. How it works This workflow orchestrates a multi-step "Plan, Research, Write" process: Plan (Decomposition): You provide an article title and guidelines via the built-in form. An initial AI call acts as a "planner," breaking down the main topic into an array of logical sub-questions. Research (Web Search): The workflow then loops through each of these sub-questions. For each one, it uses Linkup to perform a targeted web search, gathering multiple relevant insights and their source URLs. Consolidate (Brief Creation): All the sourced insights from the research phase are compiled into a single, comprehensive research brief. Write (Final Generation): This complete, sourced brief is handed to a final, powerful AI writer (e.g., GPT-5). Its instructions are clear: write a high-quality article based only on the provided research and integrate the source links as hyperlinks where appropriate. Setup Connect your Linkup account: In the Query Linkup for insights (HTTP Request) node, add your Linkup API key. We recommend creating a "Generic Credential" of type "Bearer Token" for this. Linkup's free plan is very generous and includes credits for ~1000 searches per month. Connect your AI provider: Connect your AI provider (e.g., OpenAI) credentials to the two Language Model nodes. For cost-efficiency, we recommend a smaller, faster model for Generate research questions and a more powerful, creative model for Generate the AI output. Activate the workflow: Toggle the workflow to "Active" and use the built-in form to enter an article title and guidelines to generate your first draft! Taking it further Control your sources:* For more brand-aligned or niche content, you can restrict the web search to specific websites by adding site:example.com OR site:anothersite.com to the query in the *Query Linkup for insights** node. Automate publishing:* Connect the final *Article result* node to a *Webflow* or *WordPress** node to automatically create a draft post in your CMS. Generate content in bulk:* Replace the *Form Trigger* with an *Airtable* or *Google Sheet** trigger to automatically generate a whole batch of articles from your content calendar. Customize the writing style:* Tweak the system prompt in the final *Generate the AI output** node to match your brand's specific tone of voice, add SEO keywords, or include calls-to-action. An n8n automation workflow template by Guillaume Duvernay.

By Tobias Mende

This n8n template automates daily backups of workflows and credentials to S3-compatible storage with automatic retention management. Designed for self-hosted n8n instances requiring disaster recovery protection. The workflow has three tasks: backs up all workflows via n8n API, exports and stores credentials securely, and automatically deletes outdated backups based on configurable retention policies. Perfect for administrators needing automated backup solutions with storage cost management. Target Audience n8n Administrators**: Managing production n8n instances requiring reliable backup solutions DevOps Teams**: Implementing disaster recovery strategies for automation infrastructure IT Managers**: Ensuring business continuity and compliance for critical automation workflows System Administrators**: Maintaining secure, automated backup processes for workflow management platforms How it works The workflow operates through three synchronized branches that execute automatically on a daily schedule: Workflow Backup Process: The schedule trigger initiates daily backups, retrieving all workflows via the n8n API and storing them as timestamped JSON files in your S3 bucket. Retention Management: Simultaneously, the system lists existing backup files, extracts dates from filenames, applies retention policies to identify outdated backups, and automatically deletes files beyond the configured retention period. Credential Backup: In parallel, the workflow exports all n8n credentials to a temporary file, uploads the encrypted credential data to S3 storage, and securely removes temporary files from the local system. Prerequisites Before implementing this template, ensure you have the following requirements in place: Self-Hosted n8n Instance: This template requires a self-hosted n8n installation with file system access for credential export functionality. Cloud-hosted n8n instances cannot export credentials due to security restrictions. S3-Compatible Storage: Set up an S3 bucket (AWS S3, MinIO, DigitalOcean Spaces, or any S3-compatible service) with read/write permissions configured for your backup storage needs. Access Credentials: Obtain S3 access credentials (Access Key ID and Secret Access Key) with appropriate bucket permissions for file operations (create, delete, list). System Permissions: Ensure your n8n instance has command-line access and file system permissions for credential export and temporary file management operations. Setup Instructions Step 1: S3 Bucket Configuration Create and configure your S3-compatible storage bucket: Create a new S3 bucket in your preferred region Configure bucket policies for read/write access Generate access credentials (Access Key ID and Secret Access Key) Note the bucket name, region, and endpoint URL for configuration Step 2: Import and Configure Template Import this workflow template into your n8n instance Navigate to the Config node (Manual Trigger) to customize settings Configure the following parameters: Bucket name and region Retention period (default: 7 days) Backup file naming conventions Folder structure preferences Step 3: Set Up S3 Credentials Configure S3 credentials in all storage-related nodes. Step 4: Set Up N8N Credentials Create an API key for n8n via the n8n settings of your n8n instance. Set this API key in the n8n node configuration. These credentials are neccesary to retrieve all workflows. Step 5: Configure Backup Schedule Customize the Daily Backup schedule trigger: Daily at 2:00 AM: 0 2 * * * Daily at midnight: 0 0 * * * Twice daily: 0 0,12 * * * Custom schedule: Modify cron expression as needed Step 6: Test and Validate Execute the Config node manually to verify settings Run the complete workflow to test all three backup branches Verify files appear in your S3 bucket with correct naming Confirm retention policies work by checking cleanup operations Test credential backup and temporary file removal Retention Settings The retention management system automatically maintains your backup storage: Configurable Retention Period: Set how many days of backups to retain (default: 31 days). The system automatically calculates cutoff dates and removes older files. Date-Based Cleanup: The Extract Date node processes backup filenames to determine file age, while the Keep Outdated Backups filter identifies files beyond the retention period. Automatic Deletion: Outdated files are automatically removed from S3 storage, preventing unlimited storage growth and managing costs effectively. An n8n automation workflow template by Tobias Mende.

By Yashraj singh sisodiya

Bakery Data Analytics Workflow Explanation Aim The aim of the Bakery Data Analytics Workflow is to automate the process of analyzing bakery sales and stock data stored in Google Sheets. It allows bakery owners or managers to interact with an AI assistant via chat and receive clear, concise, and actionable insights about their business performance without manually reviewing spreadsheets. Goal The goal is to: Enable users to query bakery sales and stock data through a chat interface. Use an AI Agent to interpret user queries and fetch the required data. Retrieve relevant sales/stock figures from a Google Sheets dataset. Generate insights in plain English, with short summaries, highlights, or breakdowns. Maintain conversation context so users can ask follow-up questions naturally. This ensures that bakery owners can make quick, informed decisions about sales trends, inventory shortages, or product performance with minimal manual effort. Requirements The workflow relies on the following components and configurations: n8n Platform The automation platform hosting the workflow. Node Requirements When chat message received (Trigger) Captures user input via chat. Initiates the workflow execution. AI Agent Central reasoning engine. Interprets queries, decides when to fetch data, and ensures professional responses. Uses short, structured insights (bullets, tables, or compact summaries). Simple Memory Stores short-term conversation history. Maintains context across multiple user queries. Retrieve bakery data (Google Sheets) Connects to a linked Google Sheets file. Fetches sales/stock data (e.g., daily totals, item performance). Data source: Bakery Google Sheet. Azure OpenAI Chat Model Backend language model powering the AI Agent. Provides natural language understanding and generates concise responses. Credentials Google Sheets OAuth2 account** (for accessing bakery data). Azure OpenAI API account** (for AI-driven reasoning and conversation). Input Requirements User question/query via chat (e.g., “What was the best-selling pastry last week?”). Output Compact, conversational insights (totals, highlights, trends) delivered via chat. API Usage The workflow integrates two main APIs: Google Sheets API Used by the Retrieve bakery data node. Fetches structured data (sales, stock, dates) from the bakery dataset. Provides the AI Agent with real-time data access. Azure OpenAI API Used by the Azure OpenAI Chat Model node. Powers natural conversation, ensures responses are plain English, concise, and business-focused. Aligns with AI Agent rules to avoid assumptions and provide actionable insights only when asked. Workflow Summary The Bakery Data Analytics Workflow automates bakery performance analysis by: Triggering on chat message input. Passing the query to the AI Agent for interpretation. Using Simple Memory to track context across the conversation. Fetching relevant data from Google Sheets when needed. Leveraging Azure OpenAI to generate structured, professional responses. This creates an interactive AI-powered assistant for bakery data, enabling quick insights into sales and inventory trends without manually combing through spreadsheets. An n8n automation workflow template by Yashraj singh sisodiya.

By Mark Ma

How it works This workflow is your personal CEO Brain. Every Saturday night, it automatically collects the past week’s activity across: 📩 Gmail: filters out spam, promos, receipts, etc. 📅 Google Calendar: grabs past week and upcoming month 🗒️ Notion Weekly Plan: pulls and analyzes a photo of your weekly plan (e.g., taken from a paper planner/notebook) using GPT-4o 🎯 Notion OKRs: fetches quarterly OKRs and formats them for summary It sends all the data to GPT-4.1, which generates a smart weekly report — including progress check, misalignments, overdue follow-ups, and next steps — then emails it to you as a Weekly OKR Report. Set up steps 🧠 Add your Gmail, Google Calendar, Notion, and OpenAI credentials 📅 The Notion Weekly Plan should have a date property and an image field that holds a photo of your planner/notebook page 🎯 The Notion OKR database should include objective, key result, and status fields 🔁 Schedule is preset to every Saturday at 20:30 HK time (cron 0 30 20 * * 6). Also set the workflow timezone in n8n and, if self-hosting, the server/container TZ (e.g., TZ=Asia/Hong_Kong) to ensure correct triggering 💬 You can modify the AI prompts inside the LLM nodes for more customized outputs. An n8n automation workflow template by Mark Ma.

By Țugui Dragoș

The AI Calling Agent is a fully automated phone assistant built with n8n, GoHighLevel (GHL), VAPI, and Twilio. This workflow allows you to: Trigger outbound calls from your CRM (GHL). Use a voice AI assistant (VAPI) to talk with leads in real time. Route calls through Twilio. Save appointments and full conversation summaries directly in GHL. It has been tested on real warm leads (not random numbers) and proven stable at up to 300 calls/day without interruption. Instead of manually calling and qualifying each lead, let the agent do it automatically and focus only on booked calls. Workflow in Action Appointment booking The agent can confirm appointments and save them directly in your GHL calendar, along with the summary of the conversation. Agent performance You can monitor conversations, call logs, and outcomes directly in the VAPI dashboard. Agent working live Proof that the agent can run non-stop for hundreds of calls per day without errors or interruptions. Demonstrates reliability and stability even under continuous execution. Contact statuses Each contact in GHL receives a status tag depending on the call result: answered, invalid number, no response, etc. This ensures your pipeline stays clean and updated automatically. The brain of the agent Inside VAPI, every assistant is powered by a command system (the brain) where you define how it should behave during calls. In this case, the brain is propelled by OpenAI, but VAPI also supports a wide range of AI models such as Anthropic Claude, Google Gemini, Mistral, LLaMA and more. The same flexibility applies to voices: you can instantly switch between integrated providers like ElevenLabs, Play.ht, Microsoft Azure Voices, Google Cloud TTS, and others. This makes the agent not only smart but also highly customizable - from the intelligence driving the conversation to the exact voice your clients will hear. Required APIs To run this workflow, you need the following: VAPI API key** → for the voice AI assistant logic. Twilio API key** → to provide phone numbers and route calls. GoHighLevel (GHL) API key** → to manage contacts, pipelines, and save appointments. Setup Steps Generate API keys for VAPI, Twilio, and GHL. Import the n8n template into your environment. Configure credentials in n8n for each API. Set your trigger conditions in GHL (e.g., pipeline stage changes, new leads). Test the workflow with a warm lead before scaling. (Optional) Adjust logging or sync results with Google Sheets/Notion. 💡 Use Cases Sales Teams**: Automatically call new inbound leads, qualify them, and book appointments. Agencies**: Replace repetitive cold calling with an automated assistant, then hand over only the hot leads to human agents. Real Estate**: Pre-qualify potential buyers or renters, schedule viewings, and save results in GHL. Healthcare/Clinics**: Confirm appointments, send reminders, and reduce no-shows with an AI calling agent. Education/Coaching**: Handle inquiries for courses, book consultations, and sync data with your CRM. Inbound Calls: The agent can also be configured to **answer incoming phone calls, providing information, capturing lead details, or routing the caller to the right person. With this template, you get a scalable AI-powered sales assistant that saves hours of manual calling while ensuring every lead gets a fast, professional response. Links 📂 GitHub 📰 Medium Article ▶️ YouTube Lite Version – simplified version using Google Sheets only. An n8n automation workflow template by Țugui Dragoș.

By Shayan Ali Bakhsh

About this Workflow This workflow helps you repurpose your YouTube videos across multiple social media platforms with zero manual effort. It’s designed for creators, businesses, and marketers who want to maximize reach without spending hours re-uploading content everywhere. How It Works Trigger from YouTube The workflow checks your YouTube channel every 10 minutes via RSS feed. It compares the latest video ID with the last saved one to detect if a new video was uploaded. Tutorial: How to get YouTube Channel RSS Feed Generate Descriptions with AI Uses Gemini 2.5 Flash to automatically generate fresh, engaging descriptions for your posts. Create Images with ContentDrips ContentDrips offers multiple templates (carousel, single image, branding templates, etc.). The workflow generates a custom promotional image using your video description and thumbnail. Install node: npm install n8n-nodes-contentdrips Docs: ContentDrips Blog Tutorial Publish Across Social Platforms with SocialBu Instead of manually connecting each social media API, this workflow uses SocialBu. From a single connection, you can post to: Facebook, Instagram, TikTok, YouTube, Twitter (X), LinkedIn, Threads, Pinterest, and more. Website: SocialBu Get Real-Time Notifications via Discord After each run, the workflow sends updates to your Discord channel. You’ll know if the upload was successful, or if an error occurred (e.g., API limits). Setup guide: Discord OAuth Credentials Why Use This Workflow? Saves time by automating the entire repurposing process. Ensures consistent branding and visuals across platforms. Works around platform restrictions by leveraging SocialBu’s integrations. Keeps you updated with Discord notifications—no guessing if something failed. Requirements YouTube channel RSS feed link ContentDrips API key, template ID, and branding setup SocialBu account with connected social media platforms Discord credentials (for webhook updates) Need Help? Message me on LinkedIn: Shayan Ali Bakhsh Happy Automation 🚀. An n8n automation workflow template by Shayan Ali Bakhsh.

By Can KURT

n8n – Outlook AI Categorization & Labeling (Fully Automated) > Zero manual mapping. The workflow automatically discovers your Outlook folders, understands the context, assigns the correct category, and moves the email into the right folder. It uses the original Microsoft Outlook nodes plus an AI Agent. You can connect OpenAI or any other LLM provider. ✨ Features Self-Discovery:** Scans your Outlook folders automatically – no manual mapping required. AI-Powered Decisions:** Considers sender, subject, content, links, attachments, timing, and business context. Label + Move:** Assigns the right Outlook category and moves the email into the correct folder. Dual Category Logic:** Can apply both a primary and a secondary category (e.g., Action + Project). Error Handling:** Captures errors and continues without breaking the workflow. Flexible AI Backend:** Replace OpenAI with your own LLM if preferred. 🚀 Setup (5 Steps) Connect Outlook In n8n → Credentials → Microsoft Outlook, grant at least Mail.ReadWrite. Connect AI In n8n → Credentials, set up OpenAI (or another model). Works best with GPT-4.x or GPT-4o. Import the Workflow n8n → Workflows → Import from File/Clipboard and paste the provided JSON. Enable Trigger Adjust the Schedule Trigger (e.g., every 5 minutes). Run & Verify Test run and watch emails get categorized and moved automatically. 🧠 How It Works Schedule Trigger pulls new emails Loop Over Items processes them one by one Markdown / varEmail cleans the content Get Many Folders fetches Outlook categories and folders Summarize + Code prepare category IDs AI Agent applies deep categorization logic Update Category applies the Outlook category Move Folder places the email in the right folder Error Handling ensures workflow stability 🧩 System Prompt Example You are an advanced AI email categorization system. Your mission is to intelligently analyze and categorize emails with maximum accuracy and context awareness. INTELLIGENT CATEGORIZATION ENGINE: Parse all available categories: {{ $json.category }} Multi-layer analysis: Sender, Subject, Body, Links, Attachments Prioritize: Security threats, Action Required, Business Context Specialized: SaaS, Hosting, E-commerce, Finance, Support, Corporate Anti-Spam: Pattern detection, spoofing, red-flag subjects Dual Logic: Primary + Secondary categories when applicable OUTPUT FORMAT (JSON only): { "subject": "EXACT_EMAIL_SUBJECT", "category": "PRIMARY_CATEGORY_FROM_AVAILABLE_LIST", "subCategory": "SECONDARY_CATEGORY_IF_APPLICABLE", "analysis": "Reasoning", "confidence": "HIGH/MEDIUM/LOW" } Available Categories: {{ $json.category }} ⚙️ Parameters & Notes Uses only existing Outlook categories (never invents new ones). Works with any LLM that supports Chat Completions. Requires Mail.ReadWrite permissions. Safe fallback: if unsure, it uses the Action category. 🛡️ Security Processes only what is needed for classification. No external logging of email content unless you configure it. AI provider can be swapped for self-hosted LLMs for compliance. 📄 License & Sharing License:** MIT (or your choice). Tags:** n8n, Outlook, Email, AI, Automation, Categorization Import Method:** Copy/paste workflow JSON into n8n. ✅ Summary Connect → Import → Run. No manual mapping. AI-powered categorization that labels and organizes your Outlook mailbox automatically. An n8n automation workflow template by Can KURT.

By Singgi Aditya

Attendance Telegram App with Google Sheets Manage employee attendance directly through Telegram with seamless Google Sheets integration. Employees can check in, check out, and view their daily attendance status from a Telegram bot. All records are stored in Google Sheets for easy tracking and reporting. 👉 Includes a Google Sheets template to get started quickly. ✨ Features 🕘 Check-in & Check-out via Telegram bot 📊 View daily attendance status (Check-in/Check-out done or not) 🔒 Employee validation – only registered employees can log attendance ⚠️ Duplicate prevention – prevents multiple check-ins/outs on the same day 📂 Google Sheets integration – easy to manage, export, and share data 🛠 Requirements n8n (Cloud or Self-hosted) A Telegram Bot (create via BotFather) Google Sheets account 🚀 Setup Instructions 1. Import Workflow Download and import Attendance Telegram App.json into n8n. Configure your Telegram API credentials. Configure your Google Sheets credentials. 2. Use Provided Google Sheets Template We provide a template with two sheets: Employee** → List of registered employees (id_employee, full_name, username_telegram) Attendance** → Attendance logs (date, time, attendance_type, etc.) 👉 Copy the Google Sheets Template Update the Employee sheet with your employee data before running the workflow. 3. Configure Telegram Bot Create a bot with BotFather on Telegram. Copy the API token. Add it into n8n’s Telegram credentials. 4. Run the Workflow Start the workflow. Open your Telegram bot and type /start or /menu. Available options: ✅ Check-in (⏰) 🚪 Check-out (🏁) 📊 View Today’s Attendance Status 📋 Example Flow User types /menu in Telegram. Bot displays menu with Check-in/Check-out and Today’s Attendance Status. If user taps Check-in: Workflow validates if they are a registered employee. Checks if attendance already exists for today. If valid → record in Google Sheets. Bot replies: “Check-in recorded. ⏰”. An n8n automation workflow template by Singgi Aditya.

By Omer Fayyaz

Transform your Gmail inbox from chaos to clarity with this revolutionary email organization system that uses Google Sheets as your command center for automated email management. This powerful n8n workflow automatically processes, categorizes, and organizes your Gmail inbox using customizable rules stored in Google Sheets. Say goodbye to manual email sorting and hello to a perfectly organized inbox that adapts to your needs through simple spreadsheet management. Key Innovation: Unlike traditional email filters that require complex Gmail setup, this system uses Google Sheets for intuitive rule management, allowing anyone to update email organization rules through a simple spreadsheet interface - no technical knowledge required! What Makes This Different: Google Sheets Integration** - Manage email rules through an easy-to-use spreadsheet interface Smart Pattern Matching** - Automatically detects sender patterns and applies appropriate actions Flexible Rule System** - Support for DELETE, PROMO, and LABEL actions with custom label names Intelligent Email Parsing** - Extracts clean email addresses from various sender formats Automatic Inbox Management** - Removes processed emails from inbox and marks as read Real-time Notifications** - Slack integration for monitoring and completion alerts Key Benefits of Sheet-Based Organization: Easy Rule Management** - Update email rules without touching the workflow code Visual Rule Interface** - See all your email organization rules in one place Scalable Organization** - Add unlimited rules without workflow modifications Team Collaboration** - Share and manage rules with team members through Google Sheets Flexible Actions** - Choose between deleting, promoting, or labeling emails Custom Label Support** - Create and apply custom Gmail labels automatically Who's it for This template is designed for busy professionals, entrepreneurs, small business owners, and anyone overwhelmed by email management. It's perfect for individuals and teams who receive high volumes of emails and need an intelligent, automated system to organize their Gmail inbox without manual intervention. Ideal for users who want to maintain a clean, organized inbox while ensuring important emails are properly categorized and promotional emails are handled appropriately. How it works / What it does This workflow creates an intelligent email organization system that automatically processes and categorizes your Gmail inbox using customizable rules stored in Google Sheets. The system: Triggers automatically on a schedule (configurable interval) to check for new emails Retrieves all unread emails from your Gmail inbox Parses sender email addresses to extract clean email addresses from various formats Loads organization rules from a Google Sheets document with customizable patterns Applies intelligent pattern matching to categorize emails based on sender patterns Executes appropriate actions (DELETE, PROMO, or LABEL) based on matched rules Manages Gmail labels automatically, creating new labels if needed Removes processed emails from inbox and marks them as read Sends completion notifications via Slack for monitoring Key Innovation: Sheet-Based Rule Management - Unlike traditional email filters that require complex setup in Gmail, this system uses Google Sheets for easy rule management, allowing non-technical users to update email organization rules through a simple spreadsheet interface. How to set up 1. Configure Gmail API Credentials Set up Gmail OAuth2 API credentials in n8n Ensure the account has permissions to read, modify, and manage Gmail messages Grant access to Gmail labels and message operations 2. Set up Google Sheets Integration Create a Google Sheets document for email organization rules Set up Google Sheets OAuth2 API credentials in n8n Configure the sheet with the required columns: Pattern, Action, LabelName, RemoveFromInbox 3. Configure Email Organization Rules Add your email organization rules to the Google Sheets document Use the Pattern column to specify sender patterns (e.g., "@company.com", "newsletter@") Set Action to DELETE, PROMO, or LABEL based on desired behavior Specify LabelName for custom labels when Action is LABEL Set RemoveFromInbox to TRUE/FALSE to control inbox removal 4. Set up Slack Notifications (Optional) Configure Slack API credentials for the notification channel Update the channel ID where completion notifications will be sent Customize notification messages as needed 5. Configure Schedule Adjust the Schedule Trigger node for your preferred interval Consider running every few minutes for real-time organization Test with manual execution first to verify setup 6. Test the Integration Run a manual execution to verify all components work correctly Check your Gmail inbox and labels to see organized emails Verify Slack notifications are received (if configured) Requirements n8n instance** (self-hosted or cloud) with API access Gmail account** with API access and sufficient email volume Google Sheets account** for rule management Slack workspace** for notifications (optional but recommended) Gmail labels** that need to be created and managed automatically How to customize the workflow Modify Email Processing Frequency Adjust the Schedule Trigger node for different intervals (every few minutes, hourly, daily) Add multiple schedule triggers for different email types Implement conditional scheduling based on email volume Enhance Rule Management Add more complex pattern matching (regex support, multiple conditions) Implement rule priorities and conflict resolution Add rule validation and error handling Expand Notification System Add email notifications for organization events Integrate with monitoring systems (PagerDuty, OpsGenie) Add detailed reporting on email organization statistics Advanced Email Processing Add support for email content analysis and categorization Implement sentiment analysis for email prioritization Add support for attachment handling and organization Security and Privacy Enhancements Implement email content encryption for sensitive information Add audit logging for email organization actions Set up access controls for rule management Performance Optimizations Add batch processing for high-volume email accounts Implement intelligent caching for frequently accessed rules Add email processing metrics and performance monitoring Key Features Google Sheets Integration** - Manage email rules through an intuitive spreadsheet interface Smart Pattern Matching** - Automatically detects sender patterns and applies appropriate actions Flexible Action System** - Support for DELETE, PROMO, and LABEL actions with custom configurations Intelligent Email Parsing** - Extracts clean email addresses from various sender formats Automatic Gmail Management** - Creates labels, removes from inbox, and marks as read automatically Real-time Notifications** - Slack integration for monitoring and completion alerts Scalable Rule System** - Add unlimited rules without workflow modifications Error Handling** - Graceful failure handling with detailed error reporting Technical Architecture Highlights Google Sheets Integration Dynamic Rule Loading** - Rules are loaded from Google Sheets on each execution Real-time Rule Updates** - Changes to the sheet are immediately reflected in email processing Flexible Rule Format** - Support for Pattern, Action, LabelName, and RemoveFromInbox columns Error Handling** - Graceful handling of missing or invalid rule configurations Email Processing Optimization Intelligent Email Parsing** - Extracts clean email addresses from various sender formats Pattern Matching** - Efficient substring matching for sender identification Batch Processing** - Processes multiple emails in a single execution cycle Gmail API Integration** - Direct integration with Gmail for label management and inbox operations Workflow Efficiency Parallel Data Loading** - Gmail messages and labels are loaded simultaneously Smart Rule Application** - Efficient pattern matching and action execution Automatic Label Management** - Creates and manages Gmail labels automatically Streamlined Notifications** - Single completion notification per execution cycle Use Cases Busy professionals** with high email volumes needing automated organization Small business owners** managing multiple email streams and client communications Entrepreneurs** handling various business emails requiring different priority levels Teams** needing consistent email organization across multiple team members Customer service** departments requiring automated email categorization Sales teams** needing lead and prospect email organization Business Value Time Savings** - Eliminates manual email sorting and organization tasks Improved Productivity** - Focus on important emails without inbox clutter Consistent Organization** - Automated email categorization ensures nothing is missed Reduced Stress** - Clean, organized inbox reduces email overwhelm Team Efficiency** - Standardized email organization across team members Scalable Solution** - Handles increasing email volume without performance degradation Google Sheets Rule Configuration Required Columns: Pattern** - Substring to match in sender email (e.g., "@company.com", "newsletter@") Action** - Action to take: DELETE, PROMO, or LABEL LabelName** - Custom label name (only required when Action = LABEL) RemoveFromInbox** - TRUE/FALSE to control inbox removal (optional) Example Rules: Pattern: @newsletter.com Action: PROMO LabelName: RemoveFromInbox: TRUE Pattern: @client.com Action: LABEL LabelName: Clients RemoveFromInbox: FALSE Pattern: spam@ Action: DELETE LabelName: RemoveFromInbox: TRUE This template revolutionizes email management by providing an intuitive, spreadsheet-based approach to email organization that grows with your needs while maintaining the highest levels of automation and reliability. An n8n automation workflow template by Omer Fayyaz.

By Max

Transform markdown text into beautifully formatted Notion pages using the Mark2Notion API. This workflow handles all the complexity of Notion's block structure, including tables, nested lists, code blocks, and special formatting. What this template does This workflow takes any markdown-formatted text and automatically converts it into properly structured Notion blocks, then appends it to your specified Notion page. It handles all of Notion's API limitations automatically, including: Chunking content over 100 blocks Splitting text over 2000 characters Rate limiting and retry logic Complex table structures Nested lists, including 3+ level of nesting Use Cases AI Content Publishing**: Send ChatGPT, Claude, or other LLM outputs directly to your Notion documentation Form to Documentation**: Convert form submissions into formatted project pages GitHub to Notion**: Sync issues, PRs, or README files to your team wiki Meeting Notes Automation**: Transform transcripts into structured meeting notes Report Generation**: Create beautiful reports from data sources How to use this template Get your Mark2Notion API key at https://mark2notion.com (free tier includes 100 requests/month) Create a Notion integration at https://notion.so/my-integrations and copy the token Add connection to the integration on your Notion page Copy your page ID from the Notion page URL Configure the HTTP Request node with your credentials. Use "x-api-key" header name for Mark2Notion Header Auth. Test with sample markdown to see the result More Information Full API documentation: https://docs.mark2notion.com Quickstart guide: https://mark2notion.com/guides/quickstart Feedback and support: https://github.com/elitemaks/mark2notion-api. An n8n automation workflow template by Max.

By Harry Gunadi Permana

Import Forex Factory Calendar To Google Calendar Purpose of this n8n Template Import Forex Factory Calendar events into Google Calendar. Delete past Forex Factory Calendar events from Google Calendar. Use Cases: Get reminders for important economic data releases — especially High Impact news. Use as a trigger for opening trading positions. How It Works (Adding Next Week’s Events to Google Calendar) Every Sunday, the workflow fetches the next week’s events (.ics file) using the HTTP node. The file is parsed with the Extract From File node. Events are split using the Split Out node so each event is processed separately. Events are classified into three categories — High, Medium, and Low Impact — using the Switch node. High Impact news is added to Google Calendar with a popup reminder set 30 minutes before release. Medium Impact news is added to Google Calendar without a reminder. Low Impact news is ignored. How It Works (Deleting Past Events from Google Calendar) The workflow retrieves events from the past 10 days using the Google Calendar node. If an event is related to Forex Factory, it will be deleted. If it is not related, it will be left untouched. How to Use Enter your credentials for all Google Calendar nodes. Requirements A valid Google Calendar credential. Need Help? Join the Discord or ask in the Forum! Thank you!. An n8n automation workflow template by Harry Gunadi Permana.

By Matt Delaney

FFmpeg is a powerful tool for media processing. While it can be used to perform virtually any kind of media processing (such as applying filters, cropping, or merging), this workflow only demonstrates format conversion: GIF to MP4. This workflow uses a REST API for FFmpeg. Be sure to follow the steps outlined in the notes to create a free account and get an API key. How to use: Execute the workflow to bring up the form. You can select the GIF that you want to convert. Once selected, click 'Convert'. You'll get the converted MP4 URL a few seconds later. Go ahead and download that. How it works Here is a high-level overview of how it works: Once you select a file and click 'Convert', we upload the file to n8n and get its name. The name is then used to create a file entry in FFmpegAPI and get an Upload URL and a file path. The upload URL is then used to upload the binary assets from step 1. Finally, the file path from step 2 is used to process the file and convert it into an MP4. The download URL is returned at the last step so you can download the final file. Requirements A free API key from FFmpegAPI Customization You can change the first node (Attach file) to accept multiple or different file formats. Currently, it's only restricted to .gif files. The Process file node can also be changed to perform any other operation on the file. Consult the FFmpegAPI docs for more information. An n8n automation workflow template by Matt Delaney.

By Bilel Aroua

👥 Who is this for? Creators, marketers, and brands that want to turn a single product photo into premium motion clips, then optionally publish to Instagram/TikTok/YouTube via LATE. No editing skills required. ❓ What problem does it solve? Producing short vertical ads from a static packshot takes time (retouching, motion design, soundtrack, publishing). This workflow automates the entire process: image enhancement → cinematic motion → optional upscale → soundtrack → share. 🛠️ What this workflow does Collects a product photo via Telegram. Generates two refined edit prompts + two motion prompts using multi-agent Gemini orchestration. Creates two edited images with Fal.ai Gemini-Flash (image edit). Renders two 5s vertical videos with Kling (via fal.run queue). Auto-stitches them (FFmpeg API) and optionally upscales with Topaz. Generates a clean ambient soundtrack with MMAudio. Sends previews + final links back on Telegram. Optionally publishes to Instagram, TikTok, YouTube Shorts, and more via LATE. ⚡ Setup Telegram**: Bot token (Telegram node). Fal.ai**: HTTP Header Auth (Authorization: Bearer <FAL_API_KEY>) for Gemini-Flash edit, Kling queue, FFmpeg compose, Topaz upscale, and MMAudio. Google Gemini** (PaLM credential) for AI agents. ImgBB**: API key for uploading original/edited images. LATE: create an account at **getlate.dev and use your API key for publishing (optional). ▶️ How to use Start the workflow and DM your bot a clear product photo (jpg/jpeg/webp). Approve the two still concepts when prompted in Telegram. The orchestrator generates cinematic motion prompts and queues Kling renders. Receive two motion previews, then a stitched final (upscaled + soundtrack). Choose to auto-publish to Instagram/TikTok/YouTube via LATE (optional). 🎨 How to customize Art Direction** → tweak the “Art Director” system message (lighting, backgrounds, grading). Motion Flavor** → adjust the “Motion Designer” vocabulary for different camera moves/dynamics. Durations/Aspect** → default is 9:16, 5s; you can change Kling duration. Soundtrack** → edit the MMAudio prompt to reflect your brand’s sonic identity. Publishing** → enable/disable LATE targets; customize captions/hashtags. ✅ Prerequisites A Telegram bot created via @BotFather. A Fal.ai account + API key. An ImgBB account + API key. (Optional) a LATE account with connected social profiles — sign up at getlate.dev. 💡 Detailed technical notes, architecture, and step-by-step flow explanation are included as sticky notes inside this workflow. 🆘 Support If you need help setting up or customizing this workflow: 📧 Email: bilsimaging@gmail.com 🌐 Website: bilsimaging.com I can provide guidance, troubleshooting, or custom extra workflow adaptations. An n8n automation workflow template by Bilel Aroua.

By Khair Ahammed

Meet Troy, your intelligent personal assistant that seamlessly manages your Google Calendar and Tasks through Telegram. This workflow combines AI-powered natural language processing with MCP (Model Context Protocol) integration to provide a conversational interface for scheduling meetings, managing tasks, and organizing your digital life. Key Features 📅 Smart Calendar Management Create single and recurring events with conflict detection Support for multiple attendees (1-2 attendee variants) Automatic time zone handling (Bangladesh Standard Time) Weekly recurring event scheduling Event retrieval, updates, and deletion ✅ Task Management Create, update, and delete tasks in Google Tasks Mark tasks as completed Retrieve task lists with completion status Task repositioning and organization Parent-child task relationships 🤖Intelligent Processing Natural language understanding for scheduling requests Automatic conflict detection before event creation Context-aware responses with conversation memory Error handling with fallback messages 📱 Telegram Interface Real-time chat interaction Simple commands and natural language Instant confirmations and updates Error notifications Workflow Components Core Architecture: Telegram Trigger for user messages AI Agent with GPT-4o-mini processing MCP Client Tools for Google services Conversation memory for context Error handling with backup responses MCP Integrations: Google Calendar MCP Server (6 specialized tools) Google Tasks MCP Server (5 task operations) Custom HTTP tool for advanced task positioning Use Cases Calendar Scenarios: "Schedule a meeting tomorrow at 3 PM with john@example.com" "Set up weekly team standup every Monday at 10 AM" "Check my calendar for conflicts this afternoon" "Delete the meeting with ID xyz123" Task Management: "Add a task to buy groceries" "Mark the project report task as completed" "Update my presentation task due date to Friday" "Show me all pending tasks" Setup Requirements Required Credentials: Google Calendar OAuth2 Google Tasks OAuth2 OpenAI API key Telegram Bot token ** MCP Configuration:** Two MCP server endpoints for Google services Proper webhook configurations SSL-enabled n8n instance for MCP triggers Business Benefits Productivity: Voice-to-action task and calendar management *Efficiency: *Eliminate app switching with chat interface Intelligence: AI prevents scheduling conflicts automatically Accessibility: Simple Telegram commands for complex operations Technical Specifications Components: 1 Telegram trigger 1 AI Agent with memory 2 MCP triggers (Calendar & Tasks) 13 Google service tools Error handling flows Response Time: Sub-second for most operations *Memory: *Session-based conversation context Timezone: Automatic Bangladesh Standard Time conversion This personal assistant transforms how you interact with Google services, making scheduling and task management as simple as sending a text message to Troy on Telegram. Tags: personal-assistant, mcp-integration, google-calendar, google-tasks, telegram-bot, ai-agent, productivity. An n8n automation workflow template by Khair Ahammed.

By Khair Ahammed

Streamline your email list hygiene with this automated validation workflow that monitors Google Sheets for new email entries and instantly verifies their deliverability. Perfect for maintaining clean contact databases, reducing bounce rates, and ensuring successful email marketing campaigns. Key Features 📊 Real-Time Processing Monitors Google Sheets for new email entries every minute Automatic validation triggers when emails are added Instant deliverability status updates in the same spreadsheet 🔍 Dual Validation Sources Hunter.io API for comprehensive email verification EmailValidation.io API as backup validation service Cross-verification for higher accuracy ✅ Smart Filtering Skips empty email cells to prevent unnecessary API calls Processes only valid email formats Handles bulk email list uploads efficiently 📈 Seamless Integration Updates original spreadsheet with validation results Preserves existing data while adding deliverability status No manual intervention required after setup Workflow Components Processing Flow: Google Sheets Trigger monitors for new rows Filter removes empty email entries Email extraction and formatting Dual API validation (Hunter + EmailValidation.io) Status processing and formatting Automatic spreadsheet updates Use Cases Email Marketing: Clean lists before campaigns Lead Generation: Validate new prospect emails Database Maintenance: Regular email hygiene checks CRM Integration: Ensure contact data quality Setup Requirements Required: Google Sheets with email column Hunter.io API key EmailValidation.io API key Google Sheets OAuth2 credentials Benefits: Reduce email bounce rates Improve sender reputation Save costs on invalid email sends Maintain clean contact databases This workflow transforms manual email validation into an automated process, ensuring your email lists stay clean and deliverable without any manual effort. Tags: email-validation, google-sheets, hunter-io, data-cleaning, automation. An n8n automation workflow template by Khair Ahammed.

By Kirill Zolygin

This Telegram workflow batches rapid-fire messages from the same user into one prompt (20–30s debounce), then sends a single AI reply. It uses two Google Sheets: Message Retention** (date | user_id | message) — queues incoming messages. Message Checkup** (user_id | is_waiting | last_updated) — debounces per user. Flow per message: Log to Message Retention. Read Message Checkup for that user_id. If empty, synthesize { is_waiting:false }. IF (OR): last_updated is older than 30s, or is_waiting is false → Start wait window: set is_waiting=true, update last_updated, Wait (e.g., 30s). After Wait: fetch all queued messages for the user, merge them, delete those rows, send one AI answer to Telegram, then clear the Waiting row. If a new message arrives while waiting, we only refresh last_updated (extend the window) — we do not start another wait. Copy/paste: Older-than-30s: {{ new Date(Date.now() - 30000).toISOString() }} “No Rows” normalizer (Code node) ensures the IF always has data to check. Supports text and voice (voice via Whisper). Works reliably on Telegram once the webhook is registered and Sheets are shared with the service account. An n8n automation workflow template by Kirill Zolygin.

By Ashish Kumar Swain

Why skim 10-K/10-Q by hand when AI can extract what matters in minutes? Who is this for? Sales engineers, solution architects, founders, product/strategy teams, analysts, and BD reps who need fast, consistent briefs on public companies—plus a mapping to a chosen vendor’s solutions. Use case Problem:** SEC filings are dense. Manually summarizing financials, spotting initiatives, and aligning them to a vendor’s offerings is slow, error-prone, and often missed by busy teams. Use Case:** An n8n workflow that takes a company name / URL / ticker, analyzes the latest 10-Q/10-K with Perplexity “Deep Research” (via OpenRouter), extracts a concise financial overview and top 4–5 initiatives (tech, cost, revenue), then maps them to one vendor’s solutions (e.g., Microsoft, Google, T-Mobile) and outputs a clean brief. What this workflow does Trigger: “When chat message received” (or webhook) accepts name / URL / ticker + target vendor. AI Agent: Chat Model (OpenRouter) orchestrates the prompt and formatting. Tool: Perplexity Deep Research performs retrieval over the latest 10-K/10-Q and recent references. Output: Creates a Google Drive document from the generated text (title, summary, initiatives, vendor-solution matches, suggested contacts). (Optional)** Append a row to Google Sheets for tracking companies, initiatives, and match scores. Prerequisites n8n (Cloud or self-hosted). Credentials in n8n: OpenRouter API key (with access to Perplexity’s Deep Research model). Google Drive (and Google Sheets, if you add the sheet step). Setup Import the workflow JSON into n8n. Open Credentials → connect OpenRouter and Google Drive. In the AI Agent node: Set Chat Model to your OpenRouter model. Set Tool to Perplexity’s Deep Research endpoint. Paste the provided prompt that(example): Summarize the key financial highlights and list the key strategic initiatives from Office Depot's most recent quarterly report. The company's URL is https://www.officedepot.com and its stock symbol is ODP. After gathering this information, compare Office Depot's initiatives with the solutions offered by T-Mobile for Business (URL: https://www.t-mobile.com/business, stock symbol: TMUS). Finally, provide specific recommendations on T-Mobile solutions that can help Office Depot achieve its initiatives. Explain how each recommended solution would help. Present the final response with clear headings for each section. How to customize it for your needs Ticker/Name disambiguation:** Add a guardrail step that confirms the exchange + CIK before analysis. EDGAR fetch (advanced):** Pull the exact 10-K/10-Q document/link and pass it to the model for grounded citations. Multi-vendor mapping:** Loop over a list (e.g., Microsoft, Google Cloud, AWS) and produce a comparison table. Contact enrichment:** Add your preferred enrichment step to suggest roles (IT, Network, Data, Finance). Scoring:** Compute initiative ↔ solution fit scores and prioritize must-explore actions. Alerts:** Send the brief to Slack/Telegram/Email for your team. Troubleshooting Wrong company matched? Add a pre-check that resolves ticker → legal name and require confirmation. Generic web summary? Tighten the prompt: “Use the latest 10-Q/10-K; cite sections; list initiatives with evidence.” Empty Drive file? Verify the AI Agent’s {{$json}} mappings flow into the Drive node’s content. No citations? Require bullet-level references; if missing, loop once with a “citations-only” follow-up prompt. Why Use This Template? Turn hours of filing review into a repeatable, shareable brief. You’ll get: A clean financial snapshot, The company’s top initiatives, A vendor-aligned solution map you can act on immediately—great for prospecting, QBRs, and strategic planning. Expected Outcome: Need Assistance? For setup guidance, customization, or business inquiries, Email: phoenixaiagentsolutions@gmail.com. An n8n automation workflow template by Ashish Kumar Swain.

By George Zargaryan

AI Real Estate Agent with OpenRouter and SrpAPI to talk with property objects from propertyfinder.ae This n8n template demonstrates a simple AI Agent that can: Scrape information from a provided propertyfinder.ae listing link. Answer questions about a specific property using the scraped information. Use SerpAPI to find details that are missing from the scraped data. Answer general real-estate questions using SerpAPI. Use Case This workflow serves as a starting point for building complex AI assistants for real estate or other domains. See the demo video Potential Enhancements Expand Knowledge:** Augment the workflow with your own knowledge base using a vector database (RAG approach). Add More Sources:** Adapt the scraper to support other real estate websites. Optimize Speed:** Add a cache for scraped data to reduce response latency. Improve Context Handling:** Implement reliable persistence to track the current listing instead of iterating through conversation history. Customize Prompts:** Write more tailored prompts for your specific needs (the current one is for demonstration only). Integrate Channels:** Connect the workflow to communication channels like Instagram, Telegram, or WhatsApp. How It Works The workflow is triggered by a "When chat message received" node for simple demonstration. The Chat Memory Manager node extracts the last 30 messages for the current session. A code node finds the property link, first by checking the most recent user message and then by searching the conversation history. If a link is found, an HTTP Request node scrapes the HTML content from the listing page. The Summarize code node parses the HTML, retrieves key information, and passes it to the AI Agent as a temporary knowledge base. The final AI Agent node answers user queries using the scraped knowledge base and falls back to the SerpAPI tool when information is missing. How to Use You can test this workflow directly in n8n or integrate it into any social media channel or your website. The AI Agent node is configured to use OpenRouter. Add your OpenRouter credentials, or replace the node with your preferred LLM provider. Add your SerpAPI key to the SerpAPI tool within the AI Agent node. Requirements An API key for OpenRouter (or credentials for your preferred LLM provider). A SerpAPI key. You can get one from their website; a free plan is available for testing. Need Help Building Something More? Contact me on: Telegram:** @ninesfork LinkedIn:** George Zargaryan Happy Hacking! 🚀. An n8n automation workflow template by George Zargaryan.

By Sabrina Ramonov 🍄

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Description This fully automated AI Avatar Social Media system creates talking head AI clone videos, WITHOUT having to film or edit yourself. It combines n8n, AI agent, HeyGen, and Blotato to research, create, and distribute talking head AI clone videos to every social media platform every single day. This template is ideal for content creators, social media managers, social media agencies, small businesses, and marketers who want to to scale short-form video creation, without manually filming and editing every single video. Overview 1. Trigger: Schedule Configured to run once daily at 10am 2. AI News Research Research viral news from tech-focused forum, Hackernews Fetch the selected news item, plus discussion comments 3. AI Writer AI writes 30-second monologue script AI writes short video caption 4. Create Avatar Video Call Heygen API (requires paid API plan), specifying your avatar ID and voice ID Create avatar video, optionally passing in an image/video background if you have a green screen avatar (matte: true) 5. Get Video Wait awhile, then fetch completed avatar video Upload video to Blotato 6. Publish to Social Media via Blotato Connect your Blotato account Choose your social accounts Either post immediately or schedule for later" 📄 Documentation Full Tutorial Troubleshooting Check your Blotato API Dashboard to see every request, response, and error. Click on a request to see the details. Need Help? In the Blotato web app, click the orange button on the bottom right corner. This opens the Support messenger where I help answer technical questions. An n8n automation workflow template by Sabrina Ramonov 🍄.

By Hossein Karami

Who’s it for Teams that track absences in Everhour and want a shared Google Calendar view for quick planning. Ideal for managers, HR/OPS, and teammates who need instant visibility into approved time off. What it does Pulls approved time-off from Everhour on a schedule Creates/updates all-day events per day of absence in Google Calendar Removes stale events if a request changes or is canceled Uses a stable external key (everhour:ASSIGNMENT_ID:YYYY-MM-DD) to avoid duplicates How it works A Schedule Trigger runs periodically → the workflow fetches Everhour assignments, filters approved time-off, expands multi-day requests into single-day items, then searches by external key to either create or update events. Separate cleanup steps list calendar events and delete any that are no longer present in Everhour. How to set up In n8n, create an HTTP Header Auth credential for Everhour with header `X-Api-Key: {YOUR_EVERHOUR_API_KEY} `. Add a Google Calendar OAuth credential. Open the Config node and set your calendarId (e.g., team@group.calendar.google.com). Enable the workflow and choose your schedule. Requirements Everhour account with API access Google Calendar (workspace or personal) n8n Cloud or self-hosted How to customize the workflow Adjust the schedule (hourly/daily). Filter by user or time-off type. Tweak the event title/description templates. Point to multiple calendars (duplicate the create/update branch per calendar). An n8n automation workflow template by Hossein Karami.

By Ahmed Saadawi

Full Customer Support WhatsApp AI Bot (Self-Hosted, Evolution API) 🧑‍💼 Who’s it for This template is for businesses using WhatsApp for customer communication who want to automate support using AI and real-time CRM data — especially in retail, food & beverage, e-commerce, or service sectors. It’s ideal for self-hosted n8n users with access to OpenAI and a CRM with API endpoints. 💡 What It Does This workflow creates a multi-intent AI chatbot that handles WhatsApp conversations and connects to your CRM using HTTP APIs. It uses LangChain’s AI Agent to dynamically classify and respond to customer queries in real time. 🔄 Supported Use Cases: 📍 Branch inquiries (nearest location, hours, contact) 🍰 Menu & product info (availability, categories, images) 🛒 Order creation & tracking ⚠️ Complaint submission and follow-up ⭐ Loyalty points lookup ✨ Concierge & custom orders Each user message is routed using AI to the appropriate path, where a tailored system prompt and real-time API call generate a smart, emoji-rich reply. 🚀 Key Advantages Plug-and-play AI support bot** with 6 distinct customer intents No code logic building** — uses natural language instructions via LangChain Connects to your CRM** using httpRequestTool nodes Smart classification** with OpenAI (via LangChain agent) Sticky notes and prompt modularity** for easy customization Real-time replies** using dynamic data from your API Short, branded, emoji-friendly replies** with support for Arabic NLP patterns 🔧 How It Works 🧲 A Webhook (via evolution-api node) receives incoming WhatsApp messages. 🧠 An AI Router Agent classifies the message intent using GPT-4. 🧰 Based on the intent, a specific system prompt is injected. 🧠 A LangChain Agent uses tools (CRM APIs) to fetch data. 💬 A final reply is generated and sent back via WhatsApp. Everything is modular, explainable, and built with clarity in mind using sticky notes and renamed nodes. 🛠️ Requirements ✅ Self-hosted n8n (required for community nodes) ✅ evolution-api node (for WhatsApp messaging) ✅ OpenAI API Key ✅ Your own CRM HTTP API endpoints for: Order creation/status Menu & category lookup Complaints Branch search Loyalty points ⚙️ Setup Instructions 🔌 Install the evolution-api node via n8n community nodes. 🔐 Replace all YOUR_AUTHORIZATION_TOKEN_HERE with your real credentials. 🧠 Add your OpenAI credentials in n8n. 🛠️ Update all CRM URLs to point to your environment. 📲 Connect the webhook URL to your WhatsApp provider. 🎨 How to Customize Edit the intent categories in the AI router prompt. Modify each system prompt for tone, brand, or language (supports Arabic). Add more tools or branches (e.g., shipping, feedback, upselling). Use n8n’s credentials manager for production security. 🧠 User Experience & Design Sticky notes provide full visual explanation of logic. Prompts ensure short, relevant, context-aware replies. User session memory improves continuity across messages. Optimized for performance and ease of onboarding. 🔍 SEO Tags whatsapp support bot, n8n chatbot, gpt-4 ai support, langchain agent, self-hosted n8n, crm integration, customer support automation, evolution-api, loyalty bot, menu chatbot, orders automation, arabic whatsapp bot, real-time crm bot, openai n8n workflow. An n8n automation workflow template by Ahmed Saadawi.

By Cojocaru David

This n8n template demonstrates how to automatically generate and publish blog posts using trending keywords, AI-generated content, and watermarked stock images. Use cases include maintaining an active blog with fresh SEO content, scaling content marketing without manual writing, and automating the full publishing pipeline from keyword research to WordPress posting. Good to know At time of writing, each AI content generation step will incur costs depending on your OpenAI pricing plan. Image search is powered by Pexels, which provides free-to-use stock images. The workflow also applies a watermark for branding. Google Trends data may vary by region, and results depend on availability in your selected location. How it works The workflow begins with a scheduled trigger that fetches trending keywords from Google Trends. The XML feed is converted to JSON and filtered for relevant terms, which are logged into a Google Sheet for tracking. One random keyword is selected, and OpenAI is used to generate blog content around it. A structured output parser ensures the text is clean and well-formatted. The system then searches Pexels for a matching image, uploads it, adds metadata for SEO, and applies a watermark. Finally, the complete article (text and image) is published directly to WordPress. How to use The schedule trigger is provided as an example, but you can replace it with other triggers such as webhooks or manual inputs. You can also customize the AI prompt to match your niche, tone, or industry focus. For higher volumes, consider adjusting the keyword filtering and batching logic. Requirements OpenAI account for content generation Pexels API key for stock image search Google account with Sheets for keyword tracking WordPress site with API access for publishing Customising this workflow This automation can be adapted for different use cases. Try adjusting the prompts for technical blogs, fashion, finance, or product reviews. You can also replace the image source with other providers or integrate your own media library. The watermark feature ensures branding, but it can be modified or removed depending on your needs. An n8n automation workflow template by Cojocaru David.