Workflow Templates

Telegram AI Bot Workflow An intelligent Telegram bot powered by Google Gemini AI that provides smart responses to both text messages and images. Features Multi-Modal Input**: Handles both text messages and image uploads AI-Powered Responses**: Uses Google Gemini 2.5 Flash for intelligent reply generation Image Analysis**: Automatically analyzes uploaded images and responds with descriptions Conversation Memory**: Maintains context across 20 messages per conversation Formatted Output**: Delivers well-structured, Telegram-friendly responses How It Works User sends a message (text or image) to the Telegram bot Workflow routes the input based on message type Images are downloaded and analyzed using Gemini Vision AI AI agent processes the input with conversation context Formatted response is sent back to the user instantly Requirements Telegram Bot Token (from @BotFather) Google Gemini API Key n8n instance with webhook capability Perfect for building interactive AI assistants, customer support bots, or educational tools on Telegram.

Complete Template Description Automate LinkedIn Sales Navigator contact extraction to Google Sheets This workflow scrapes LinkedIn Sales Navigator search results and automatically saves contact details to Google Sheets with pagination support and rate limiting protection. Who's it for Sales teams, recruiters, and business development professionals who need to extract and organize LinkedIn contact data at scale without manual copy-pasting. What it does The workflow connects to a LinkedIn scraping API to fetch contact information from Sales Navigator search results. It handles pagination automatically, extracts contact details (name, title, company, location, profile URL), and appends them to a Google Sheet. Built-in rate limiting (30-60 second delays) prevents API blocks and mimics natural browsing behavior. Requirements Self-hosted n8n instance** (this workflow will NOT work on n8n Cloud due to cookie requirements and third-party API usage) LinkedIn Sales Navigator account Google Sheets account EditThisCookie browser extension API access from the creator (1 month free trial available) How to set up Step 1: Get API Access Email the creator to request 1 month of free API access using the link in the workflow. You'll receive your API key within 24 hours. Step 2: Configure API Authentication Click the "Scrape LinkedIn Contacts API" node Under Authentication, select "Header Auth" Create new credential with Name: x-api-key and your received API key as the Value Save the credential Step 3: Extract LinkedIn Cookies Install the EditThisCookie extension Navigate to LinkedIn Sales Navigator Click the cookie icon in your browser toolbar Click "Export" and copy the cookie data Paste into the cookies field in the "Set Search Parameters" node Step 4: Configure Your Search In the "Set Search Parameters" node, update: cookies: Your exported LinkedIn cookies url: Your LinkedIn Sales Navigator search URL total_pages: Number of pages to scrape (default: 2, each page = ~25 contacts) Step 5: Set Up Google Sheets Make a copy of the template Google Sheet (or create your own with matching column headers) In the "Save Contacts to Google Sheets" node, connect your Google Sheets account Select your destination spreadsheet and sheet name Important Security Note: Keep your LinkedIn cookies private. Never share them with others or commit them to public repositories. Customization options Adjust total_pages to control how many contacts you scrape Modify the delay in "Rate Limit Delay Between Requests" node (default: 30-60 seconds random) - do not lower this to avoid API blocks Customize which contact fields to save in the Google Sheets column mapping Change the search URL to target different prospect segments or filters

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. This n8n workflow template helps you automatically convert unstructured contact information—such as customer details copied from emails, web forms, or chat messages—into clean, structured JSON using an AI agent. What It Does: Accepts unstructured contact data via a Webhook (as form-data under the key prompt) Uses AI to intelligently extract key fields such as: Company Name First Name Last Name Address City Country Phone Fax Email Parses and formats the extracted data into a valid JSON object Prepares the output for seamless integration into systems like: Dolibarr Other ERP/CRM platforms Any service that consumes JSON via API or webhook Use Cases: Automate manual data entry from emails into your ERP system Clean and normalize contact data from various input sources Reduce human error in your customer onboarding workflows This template saves you time and ensures consistency across your business systems. Simply connect your systems and let the automation handle the rest.

This workflow automates the entire process of creating, managing, and publishing AI-generated videos using OpenAI Sora2 Pro, Google Sheets, Google Drive, and YouTube. Advantages ✅ Fully Automated Video Pipeline From idea to YouTube publication with zero manual intervention after setup. ✅ Centralized Control via Google Sheets Simple spreadsheet interface — no need to use APIs or dashboards directly. ✅ AI-Powered Video Creation Uses OpenAI Sora2 Pro for generating professional-quality videos from text prompts. ✅ SEO-Optimized Titles with GPT-5 Automatically creates catchy, keyword-rich titles optimized for YouTube engagement. ✅ Cloud Integration Seamless use of Google Drive for file management and YouTube for publishing. ✅ Scalable and Repeatable Can handle multiple videos in sequence, triggered manually or at regular intervals. ✅ Error-Resilient and Transparent Uses conditional checks (“Completed?” node) and real-time updates in Google Sheets to ensure reliability and visibility. How it Works This workflow automates the entire process of generating AI videos and publishing them to YouTube, using a Google Sheet as the central control panel. Trigger & Data Fetch: The workflow is triggered either manually or on a schedule. It starts by reading a specific Google Sheet to find new video requests. A new request is identified as a row where the "PROMPT" and "DURATION" columns are filled, but the "VIDEO" column is empty. AI Video Generation: For each new request, it takes the prompt and duration, then sends a request to the Fal.ai Sora-2 Pro model via its API to generate the video. The system then enters a polling loop, checking the video generation status every 60 seconds until it is COMPLETED. Post-Processing & Upload: Once the video is ready, the workflow performs three parallel actions: Fetch Video & Upload to Drive: It retrieves the generated video file and uploads it to a specified folder in Google Drive for archiving. Generate YouTube Title: It sends the original prompt to OpenAI's GPT-5 (or another specified model) to generate an optimized, SEO-friendly title for the YouTube video. Publish to YouTube: It takes the generated video file and the AI-created title and uses the Upload-Post.com service to automatically publish the video to a connected YouTube channel. Update & Log: Finally, the workflow updates the original Google Sheet row with the URL of the archived video in Google Drive and the newly created YouTube video URL, providing a complete audit trail. Set up Steps To configure this workflow, follow these steps: Prepare the Google Sheet: Create a Google Sheet with at least these columns: PROMPT, DURATION, VIDEO, and YOUTUBE_URL. In the n8n "Get new video" and update nodes, configure the documentId and sheetName to point to your specific Google Sheet. Configure Fal.ai API Key: Create an account on fal.ai and obtain your API key. In both the "Create Video" and "Get status" HTTP Request nodes, set up the HTTP Header Authentication. Set the Name to Authorization and the Value to Key YOUR_API_KEY. Set up Upload-Post.com for YouTube: Create an account on Upload-Post.com and get your API key. Connect your YouTube channel as a "profile". In the "HTTP Request" node (for uploading), configure the Header Auth with Name: Authorization and Value: Apikey YOUR_UPLOAD_POST_API_KEY. Replace YOUR_USERNAME in the node's body parameters with the profile name you created on Upload-Post.com (e.g., test1). Configure OpenAI (Optional but Recommended): The "Generate title" node uses an OpenAI model. Ensure you have valid OpenAI API credentials set up in n8n for this node to function and create optimized titles. Finalize Paths and Activate: In the "Upload Video" node, specify the correct Google Drive folder ID where you want the videos to be saved. Once all credentials and paths are set, you can activate the workflow and set the "Schedule Trigger" node to run at your desired interval (e.g., every 5 minutes). Need help customizing? Contact me for consulting and support or add me on Linkedin.

✅ What problem does this workflow solve? Salon staff often spend hours juggling appointment calls, managing bookings manually, and keeping track of customer preferences. This workflow automates your entire salon appointment system via WhatsApp, delivering a personalized and human-like booking experience using AI, memory, and Google Sheets. 💡 Main Use Cases 💁‍♀️ Offer personalized stylist recommendations by remembering customer preferences and past visits. 📅 Provide real-time availability and salon opening hour information. 📝 Book and update appointments directly from customer chat. 🔁 Simplify appointment changes by recalling previous booking details. 🧠 Enable context-aware, memory-driven conversations across multiple interactions. 🧠 How It Works – Step-by-Step 1. 📲 Chat Message Trigger The workflow is triggered whenever a customer sends a message to your WhatsApp salon assistant. 2. 🧠 Memory Buffer for Context Management The assistant uses a Memory Buffer to: Recognize returning customers Avoid repeating questions Maintain conversation flow across multiple sessions This enables a seamless and intelligent dialogue with each customer. 3. 💇 Stylist & Service Lookup When the customer asks for stylist suggestions, available time slots, or services: Extracts request details using AI Queries a Google Sheet containing: Stylist availability Service types Salon opening hours Returns personalized recommendations based on preferences and availability 4. ✅ Appointment Booking Collects all necessary info: Date, time, selected service, stylist, contact info Stores the appointment in Google Sheets Sends a confirmation message to the customer in WhatsApp 5. 🔄 Modify or Cancel Bookings Customers can update or cancel appointments Bot matches records by phone number Modifies or deletes the appointment in the sheet accordingly 🧩 Integrations Used WhatsApp Integration** (via Twilio, Meta API, or other connector) OpenAI/GPT Model** for natural conversation flow and extraction Google Sheets** as a simple and effective appointment database Memory Buffer** for ongoing context across chats 👤 Who can use this? Perfect for: 💇‍♀️ Salons and barbershops 💅 Spas and beauty centers 🧖‍♀️ Wellness studios 🛠 Developers building vertical AI assistants for SMBs If you're looking to modernize your booking process and impress customers with an AI-powered, memory-enabled WhatsApp bot—this workflow delivers. 🚀 Benefits ⏰ Save time for your staff 🧠 Offer truly personalized experiences 📲 Book appointments 24/7 via WhatsApp 📋 Keep all records organized in Google Sheets 🧘 Reduce human error and double bookings 📦 Ready to Launch? Just configure: ✅ Your WhatsApp number + webhook integration ✅ Google Sheet with stylist and service data ✅ OpenAI key for AI-powered conversation ✅ Memory Buffer to enable smart replies And your salon will be ready to offer automated, intelligent booking—right from a simple WhatsApp chat.

Summary Onfleet is a last-mile delivery software that provides end-to-end route planning, dispatch, communication, and analytics to handle the heavy lifting while you can focus on your customers. This workflow template listens to Onfleet driver sign-up events and automatically notifies you on Slack. Configurations Update the Onfleet node with your own Onfleet credentials, to register for an Onfleet API key, please visit https://onfleet.com/signup to get started Update the Slack node with your own Slack credentials Update the Slack channel to something that exists in your Slack workspace, the default is set to #new-driver-signup in this example which may not apply to your workspace Update the Slack message to something customized, ideally with driver information such as phone number and name

This workflow collects images from web search on a specific query, detects labels in them, and stores this information in a Google Sheet.

This workflow allows you to send an SMS to a number whenever you go out. Pushcut is an app for iOS that lets you create smart notifications to kick off shortcuts, URLs, and online automation. You can have multiple actions for a notification. You can use the IF node to check which action was selected and build the workflow accordingly. Pushcut Trigger node: This node triggers the workflow when an action is selected by the user. Twilio node: The Twilio node sends an SMS with the input given by the user. Based on your use-case, you might want to do something else, for example, send a Tweet, dim or turn off your Philips Hue lights, add activity to Strava or play music on Spotify. Replace the Twilio node with these nodes to customize the workflow as per your needs.

Triggers worfklow all 15 minutes Reads the data from Google Sheet Converts data to XLS Uploads the file to Dropbox

Description Automated workflow that creates Jira issues directly from Streamlit form submissions. Receives webhook data, validates and transforms it to Jira's API schema, creates the issue, and returns the ticket details to the frontend application. Context Bridges the gap between lightweight Streamlit prototypes and enterprise Jira workflows. Enables rapid ticket creation while maintaining Jira as the authoritative source of truth. Includes safety mechanisms to prevent duplicate submissions and malformed requests. Target Users Product Managers building internal request portals. Engineering Managers creating demo applications. Teams requiring instant Jira integration without complex UI development. Project Manager using Jira pour mangement and reporting. Organizations wanting controlled ticket creation without exposing Jira directly. Technical Requirements n8n instance (cloud or self-hosted) with webhook capabilities Jira Cloud project with API token and issue creation permissions Streamlit application configured to POST to n8n webhook endpoint Optional: Custom field IDs for Story Points (typically customfield_10016) Workflow Steps Webhook Trigger - Receives POST from Streamlit with ticket payload. Deduplication Guard - Filters out ping requests and rapid duplicate submissions. Data Validation - Ensures required fields are present and properly formatted. Schema Transformation - Maps Streamlit fields to Jira API structure. Jira API Call - Creates issue via REST API with error handling. Response Formation - Returns success status with issue key and URL. Key Features Duplicate submission prevention. Rich text description formatting for Jira. Configurable priority and issue type mapping. Story points integration for agile workflows. Comprehensive error handling and logging. Clean JSON response for frontend feedback. Validation Testing Ping/test requests are ignored without creating issues. First submission creates Jira ticket with proper formatting. Rapid resubmission is blocked to prevent duplicates. All field types (priority, labels, due dates, story points) map correctly. Error responses are handled gracefully. Expected Output Valid Jira issue created in specified project JSON response: {ok: true, jiraKey: "PROJ-123", url: "https://domain.atlassian.net/browse/PROJ-123"} No orphaned or duplicate tickets. Audit trail in n8n execution logs. Implementation Notes Jira Cloud requires accountId for assignee (not username). Date format must be YYYY-MM-DD for due dates. Story Points field ID varies by Jira configuration. Enable response output in HTTP node for debugging. Consider rate limiting for high-volume scenarios. Tutorial video: Watch the Youtube Tutorial video How it works ⏰ Trigger: Webhook fires when the app submits. 🧹 Guard: Ignore pings/invalid, deduplicate rapid repeats. 🧱 Prepare: Normalize to Jira’s field model (incl. Atlassian doc description). 🧾 Create: POST to /rest/api/3/issue and capture the key. 🔁 Respond: Send { ok, jiraKey, url } back to Streamlit for instant UI feedback. About me : I'm Yassin, IT Project Manager, Agile & Data specialist. Scaling tech products with data-driven project management. 📬 Feel free to connect with me on Linkedin

Workflow: Auto-Translate WordPress Posts Using AI Translate Pro This n8n workflow automates the translation of WordPress blog content into any language using the AI Translate Pro API, and inserts the translated text into a Google Doc. 📌 Workflow Steps Manual Trigger Initiates the workflow manually (can be replaced with a webhook or schedule trigger). WordPress Node Retrieves a specific blog post (by ID) from your WordPress site using the REST API. HTTP Request Node Sends the blog content to AI Translate Pro via multipart/form-data. Google Docs Node Appends the translated text into a specified Google Document using Google Docs API. 🌍 API Usage: AI Translate Pro Endpoint: POST https://ai-translate-pro.p.rapidapi.com/translate.php Content-Type: multipart/form-data Required Parameters: | Field | Type | Description | |-----------|--------|-----------------------------------------| | text | string | The text or HTML content to translate | | language| string | Target language (e.g., Hindi, French) | Headers: | Header Name | Value | |---------------------|---------------------------------------| | x-rapidapi-host | ai-translate-pro.p.rapidapi.com | | x-rapidapi-key | Your RapidAPI key | ✅ Benefits of Using AI Translate Pro ⚡ Fast AI-Powered Translation – Instantly translate content with no need for manual input. 🌎 Supports Multiple Languages – Easily switch languages to serve global audiences. 🧠 Context-Aware – More accurate than basic dictionary translation tools. 🛠 Easy Integration with n8n – No-code/low-code implementation. 🗃 Content Reuse – Save translations directly into Google Docs for future use or edits. 💼 Cost-Effective – Efficient alternative to expensive manual translation services. 🛠️ Problems Solved ❌ Manual copy-pasting into Google Translate ❌ Limited or slow in-house translation ❌ Difficulty managing multilingual content ❌ Inconsistent formatting or storage ✅ With AI Translate Pro, translations are fast, automated, and saved where your team can access them instantly. ✅ Example Use Case Translate WordPress blog posts from English to Hindi. Store translated content in Google Docs for editing or reuse. Expand to multilingual sites with a simple language switch. Use AI Translate Pro in any low-code or no-code platform like n8n. 📎 Requirements WordPress REST API credentials RapidAPI access to AI Translate Pro Google Docs API service account 🔗 More Info Explore full documentation and pricing on the AI Translate Pro RapidAPI listing page. Create your free n8n account and set up the workflow in just a few minutes using the link below: 👉 Start Automating with n8n Save time, stay consistent, and grow your LinkedIn presence effortlessly!

Filters articles based on keywords, checks against MongoDB for unique links, then sends results to different webhooks