Workflow Templates

Find specific jobs on Indeed using Telegram, BrowserAct & Gemini This workflow transforms your Telegram bot into an intelligent job hunting assistant. Simply tell the bot what you are looking for (e.g., "Marketing Manager in Austin"), and it will automatically scrape real-time job listings from Indeed, format them into a clean, easy-to-read list, and send them directly to your chat. Target Audience Job seekers, recruiters, and career coaches who want to automate the job search process. How it works Receive Request: You send a message to your Telegram bot describing the job you want (e.g., "I need a Python developer job in London"). Extract Parameters: An AI Agent analyzes your message to extract the key details: Job Role and Location. If you don't specify a location, it defaults to a preset value (e.g., "Brooklyn"). Scrape Indeed: BrowserAct executes a background task to search Indeed.com using your specific criteria and extracts relevant job data (Title, Company, Pay, Link). Format Data: A second AI Agent processes the raw job list. It cleans up the text, adds emojis for readability, and formats the output into Telegram-friendly HTML. Deliver Alerts: The workflow splits the formatted list into individual messages (to respect character limits) and sends them to your Telegram chat. How to set up Configure Credentials: Connect your Telegram, BrowserAct, Google Gemini, and OpenRouter accounts in n8n. Prepare BrowserAct: Ensure the Indeed Smart Job Scout template is saved in your BrowserAct account. Configure Telegram: Create a bot via BotFather and add the API token to your Telegram credentials. Activate: Turn on the workflow. Test: Send a message like "Find marketing jobs in Chicago" to your bot. Requirements BrowserAct* account with the *Indeed Smart Job Scout** template. Telegram** account (Bot Token). Google Gemini** account. OpenRouter** account (or compatible LLM credentials). How to customize the workflow Change Default Location: Edit the system prompt in the Analyze user Input agent to change the fallback location from "Brooklyn" to your preferred city. Filter Results: Add logic to the Generate response agent to filter out jobs with low ratings or missing salary info. Add More Boards: Update the BrowserAct template to scrape LinkedIn or Glassdoor in addition to Indeed. Need Help? How to Find Your BrowserAct API Key & Workflow ID How to Connect n8n to BrowserAct How to Use & Customize BrowserAct Templates Workflow Guidance and Showcase Video Indeed Smart Job Scout: The Ultimate n8n Workflow for Job Channels

Quick Summary This workflow connects Telegram, Google Gemini AI, and Notion to make task creation effortless. Whenever you send a message to your Telegram bot, Gemini AI reads your message, understands what task you meant, and automatically creates it in your Notion database - complete with the task name and due date. If you approve, the task is added to Notion and you’ll get a confirmation in Telegram. If you decline, it simply replies that ❌ no task was created. Perfect for anyone who wants to capture ideas or to-dos directly from Telegram without opening Notion every time. Detailed Use Cases Quick task capture from Telegram Send a message like “Buy milk 25 May” to your Telegram bot. The AI extracts the task name and date, asks you to approve, and creates a Notion task once approved. Turn reminders into Notion tasks Message: “Pay rent next Monday” → Approve → Task added to Notion with the correct due date. Perfect for quickly saving reminders while on the go. Tip: For best results, include clear dates in your messages like 25 May or May 25, 2025 so the AI can extract them accurately. Prerequisites / Requirements Before using this workflow, make sure you have the following ready: Telegram Bot Setup Go to @BotFather on Telegram. Create a new bot using the /newbot command. Copy the Bot Token — you’ll need it to connect in the Telegram Trigger and Telegram nodes in n8n. Google Gemini API Key Sign up for a free Google AI Studio account. Create an API key and connect it in your n8n credentials under Google Gemini. This workflow uses the models/gemini-2.5-flash-lite model, which works perfectly on the free tier. Notion Database Setup Create a Notion database for storing tasks. It must have: A Title property — set this as the Task Name (type: Title / text). A Date property — set this as the Due Date (type: Date). Copy your Notion database ID and connect your Notion API credentials in n8n. Optional Security Note In the Telegram Trigger node, restrict the chatId to your own Telegram user ID if this workflow is for personal use. Customization Guide You can easily extend this workflow to capture more details from your Telegram messages using the AI Extract node. Here are a few simple ways to customize it: Add more extracted fields In the AI Extract: TaskName & TaskDue node, open the Attributes section. Add new fields like: Priority → text (e.g., High, Medium, Low) Duration → number or text (e.g., 30 mins, 1 hour) Notes → text (optional extra info) The Gemini model will automatically try to extract these from your message. Example messages you can send “Finish report by Friday — high priority, 2 hours.” “Workout tomorrow evening — medium priority.” Map extra fields to Notion In the Notion: Create Task (Page) node, scroll to the Properties section. Add matching Notion properties for each new field (e.g., Priority, Duration). Map the AI outputs (like output.Priority) to their respective fields. Send confirmation with extra data In the Send and Wait for Response (Approve/Decline) node, include the new extracted details in the Telegram message before approval. Example confirmation message: Task: {{ $json.output.TaskName }} Due: {{ $json.output.TaskDue }} Priority: {{ $json.output.Priority }} Duration: {{ $json.output.Duration }} By doing this, you can build a smarter task capture system that includes priority, time estimation, and other useful details, all directly from your Telegram chat.

Track new box office releases from BrowserAct to Google Sheets & Telegram This workflow acts as an automated movie tracker that monitors box office data, filters out movies you have already seen or tracked, and sends formatted updates to your Telegram. It leverages BrowserAct for scraping and an AI Agent to deduplicate entries against your database and format the content for delivery. Target Audience Movie enthusiasts, cinema news channel administrators, and data analysts tracking entertainment trends. How it works Fetch Data: The workflow runs on a schedule (e.g., every 15 minutes) to fetch the latest movie data using BrowserAct. Load Context: It retrieves your existing movie history from Google Sheets to identify which titles are already tracked. AI Processing: An AI Agent (powered by OpenRouter) compares the new list against the existing database to remove duplicates. It then formats the valid new entries, extracting stats like "Opening Weekend" and generating an HTML-formatted Telegram post. Update Database: The workflow appends the new movie details (Budget, Cast, Links) to Google Sheets. Notify: It sends the pre-formatted HTML message directly to your Telegram chat. How to set up Configure Credentials: Connect your BrowserAct, Google Sheets, OpenRouter, and Telegram accounts in n8n. Prepare BrowserAct: Ensure the Box Office Trifecta template is saved in your BrowserAct account. Setup Google Sheet: Create a new Google Sheet with the required headers (listed below). Select Spreadsheet: Open the Get row(s) in sheet and Append row in sheet nodes to select your specific spreadsheet. Configure Notification: Open the Send a text message node and enter your Telegram Chat ID (e.g., @channelname or a numeric ID). Google Sheet Headers To use this workflow, create a Google Sheet with the following headers: Name Budget Opening_Weekend Gross_Worldwide Cast Link Summary Requirements BrowserAct* account with the *Box Office Trifecta** template. Google Sheets** account. OpenRouter** account (or credentials for a compatible LLM like Gemini or Claude). Telegram** Bot Token. How to customize the workflow Adjust Filtering Logic: Modify the system prompt in the Scriptwriter node to change how movies are filtered (e.g., only track movies with a budget over $100M). Change Output Channel: Replace the Telegram node with a Discord or Slack node if you prefer those platforms. Enrich Data: Add an HTTP Request node to fetch the movie poster image and send it as a photo message instead of just text. Need Help? How to Find Your BrowserAct API Key & Workflow ID How to Connect n8n to BrowserAct How to Use & Customize BrowserAct Templates Workflow Guidance and Showcase Video Automated Box Office Movie Channel: n8n, IMDb & Telegram 🎬

Monitor competitor ad activity via Telegram using BrowserAct & Gemini Turn your Telegram bot into a covert marketing intelligence tool. This workflow allows you to send a company name to a bot, which then scrapes active ad campaigns, analyzes the strategy using AI, and delivers a strategic verdict directly to your chat. Target Audience Digital marketers, dropshippers, e-commerce business owners, and ad agencies looking to track competitor activity without manual searching. How it works Receive Command: The workflow starts when you send a message to your Telegram bot (e.g., "Check ads for Nike" or "Spy on Higgsfield"). Extract Brand: An AI Agent (using Google Gemini) processes the natural language text to extract the specific company or brand name. Scrape Ad Data: A BrowserAct node executes a background task (using the "Competitor Ad Activity Monitor" template) to search ad libraries (like Facebook or Google) for active campaigns. Analyze Strategy: A second AI Agent acts as a "Senior Marketing Analyst." It reviews the scraped data to count active ads, identify key hooks, and determine if the competitor is scaling or inactive. Deliver Report: The bot sends a formatted HTML scorecard to Telegram, including the ad count, best ad copy, and a strategic verdict (e.g., "ADVERTISE NOW" or "WAIT"). How to set up Configure Credentials: Connect your Telegram, BrowserAct, and Google Gemini accounts in n8n. Prepare BrowserAct: Ensure the Competitor Ad Activity Monitor template is saved in your BrowserAct account. Configure Telegram: Ensure your bot is created via BotFather and the API token is added to the Telegram credentials. Activate: Turn on the workflow. Test: Send a company name to your bot to generate a report. Requirements BrowserAct* account with the *Competitor Ad Activity Monitor** template. Telegram** account (Bot Token). Google Gemini** account. How to customize the workflow Adjust Analysis Logic: Modify the system prompt in the Generate response agent to change how the "Verdict" is calculated (e.g., prioritize video ads over image ads). Add More Sources: Update the BrowserAct template to scrape TikTok Creative Center or LinkedIn Ads. Change Output: Replace the Telegram output with a Slack or Discord node to send reports to a team channel. Need Help? How to Find Your BrowserAct API Key & Workflow ID How to Connect n8n to BrowserAct How to Use & Customize BrowserAct Templates Workflow Guidance and Showcase Video Automated Ad Intelligence: How to Outsmart Your Competitors (n8n + BrowserAct)

⚡ Overview This workflow connects Telegram with an AI Agent (Gemini) and Notion to automate content requests. Team members can request content ideas directly in Telegram. The AI processes the request, then automatically creates a new entry in your Notion Content database. 🛠️ Features 🤖 AI-powered assistant: Gemini AI with memory to understand context and generate better responses. 📲 Telegram integration: Accepts requests directly from your Telegram bot. 🗂️ Notion automation: Auto-creates records in your Notion database (title, content draft, channel, assignee, date, references, type). 🛡️ Secure & flexible: No hardcoded API keys, placeholders used for easy setup. 📝 Setup Instructions Add your Telegram Bot Token, Google Gemini API Key, and Notion Integration Token in n8n credentials. Steps: Import this template JSON into your n8n instance. Configure credentials in n8n (Telegram, Notion, Gemini API). 🎯 Use Cases Content marketing teams managing requests via Telegram. Automating idea collection from distributed teams. Keeping Notion Content updated without manual entry.

Teach your AI agent HOW to think, not WHAT to think This workflow demonstrates how you can build an AI agent in n8n that uses the reasoning logic you define. So an LLM learns a way of thinking, which you can then apply to multiple problems: Make an AI chatbot that knows how to convince anybody using the "Getting to Yes" method Build an LLM workflow that uses Ray Dalio's principles to spot investment opportunities Create an AI agent crew of interdisciplinary thinkers: e.g. a specialist in psychology who gives an advice on education programmes. How it works This template uses the n8n AI agent node as an orchestrating agent that has access to a certain reasoning logic defined by an InfraNodus knowledge graph. This graph contains a list of reasoning rules (ontology), which is extracted to provide an advice that is relevant to the original prompt. It uses GraphRAG under the hood to traverse the parts of the graph relevant to the query. This advice and the reasoning logic extracted is then used by the AI agent to generate a response that is relevant to the user's query but that uses the reasoning logic provided through the graph. Here's a description step by step: The user submits a question using the AI chatbot (n8n interface, in this case, a web form that can be embedded to any website, or a webhook that can be connected to a Telegram / WhatsApp bot) The AI agent node accesses the Reasoning Logic HTTP InfraNodus nodes. The description of AI agent and the description of the reasoning InfraNodus node provides the agent with an understanding of how to rephrase the original question to retrieve relevant reasoning logic. The request is sent to the InfraNodus node. It provides a response that contains the reasoning logic needed to answer the question. This reasoning logic is then sent back to an LLM along with the original query to produce the response. InfraNodus uses GraphRAG under the hood: convert user query into graph find the overlap with the reasoning graph (using n=1 or more hops to include more relations) use similarity search to get additional parts of the graph generate a response based on this intersection as well as the context provided provide information about the underlying structure How to use You need an InfraNodus account to use this workflow. Create an InfraNodus account Get the API key at https://infranodus.com/api-access and create a Bearer authorization key for the InfraNodus HTTP nodes. Create a separate knowledge graph for the reasoning logic Use the AI ontology creator to generate an ontology for a certain topic or text using AI. Then augment it with your own data. See our help article on creating ontologies for detailed instructions For each graph, go to the workflow, paste the name of the graph into the request JSON body name field. Change the system prompt in the AI agent node to reflect the nature of your reasoning logic. For instance, if it's an expert in interactions, you specify that, if it's a psychology expert, you need to specify that as well. Change the description of the reasoning node (HTTP tool). Use the InfraNodus summary and Project Notes > RAG prompt buttons to generate a description for the reasoning logic, which you can then reuse in your workflow. add the LLM key to the OpenAI node (or to the model of your choice) and launch the workflow Requirements An InfraNodus account and API key An OpenAI (or any other LLM) API key Customizing this workflow You can use this same workflow with a Telegram bot, so you can interact with it using Telegram. There are many more customizations available. Check out the complete guide at https://support.noduslabs.com/hc/en-us/articles/21429518472988-Using-Knowledge-Graphs-as-Reasoning-Experts Also check out the video tutorial with a demo:

⚡ Next-Gen Customer Support: Two-Way WhatsApp + Telegram Integration for 10k+ Clients Who is this workflow for This workflow is designed for **customer support teams, e-commerce founders, and operations managers** who want to handle thousands of customer queries seamlessly. Instead of building a brand-new chat application, it leverages WhatsApp (where customers already are) and Telegram (where your support team operates) to create a scalable, topic-based support system. If you are a brand handling 1000s of daily WhatsApp customer messages and need a structured way to map each customer into a dedicated support thread without chaos, this workflow is for you. What it does / How it works This two-way n8n automation bridges WhatsApp and Telegram by creating one Telegram forum topic per customer and syncing messages both ways: Incoming WhatsApp → Telegram When a new WhatsApp message arrives, the workflow checks if the customer already has a topic in Telegram. If yes → The message is forwarded into that existing topic. If no → A new topic is created automatically, the mapping is saved in the database, and the message is posted there. Result: every customer has a dedicated thread in your Telegram supergroup. Outgoing Telegram → WhatsApp When a support agent replies in a Telegram topic, the workflow looks up the linked WhatsApp number. The reply is sent back to the customer on WhatsApp, preserving context. Result: two-way synced conversations without building a custom app. How to set it up Configure WhatsApp Cloud API Create a Meta Developer account and register a WhatsApp Business number. Generate an access token and phone number ID. Configure Telegram Bot Use BotFather to create a bot and enable it in a **Telegram Supergroup with Topics**. Get the chat_id and allow the bot to create/send messages in topics. Database (Supabase/Postgres) Create a table wa_tg_threads to map phone_e164 ↔ telegram_topic_id ↔ supergroup_id. n8n Workflows Workflow A: WhatsApp → Telegram Trigger: WhatsApp Webhook Steps: Lookup customer → If exists send to topic, else create topic → Save mapping → Forward message. Workflow B: Telegram → WhatsApp Trigger: Telegram Webhook Steps: Filter only topic replies → Lookup mapping → Send WhatsApp message. Testing Send a WhatsApp message → Check Telegram topic created. Reply in Telegram topic → Ensure customer receives WhatsApp reply. Requirements A free or paid n8n instance (self-hosted or cloud). WhatsApp Cloud API credentials** (phone number ID + access token). Telegram Bot token* with access to a *Supergroup with Topics** enabled. A Postgres/Supabase database to store thread mappings. Basic familiarity with editing HTTP Request nodes in n8n. How to customize the workflow Brand personalization:** Pre-populate first message templates (thank you, order status, delivery updates). Routing rules:** Assign specific agents to certain topics by ID ranges. Integrations:** Extend to CRMs (HubSpot, Zoho) or support platforms (Freshdesk, Zendesk). Notifications:** Push high-priority WhatsApp queries into Slack/Teams for instant alerts. Archival:** Auto-close inactive topics after N days and mark customers as dormant. Why Telegram instead of building a new App The client's requirement was clear: **use an existing, reliable, and scalable chat platform** instead of building a new app from scratch. Telegram Supergroups with Topics** scale to 100,000+ members and millions of messages, making them ideal for managing 10k+ customer threads. Agents don't need to install or learn a new tool---they continue inside Telegram, which is fast, free, and mobile-friendly. Building a custom chat app would require authentication, push notifications, scaling infra, and UX---all solved instantly by Telegram. This decision **saves development cost, accelerates deployment, and provides proven scalability**. Why this improves support productivity Organized by customer:** Each WhatsApp number has its own Telegram topic. No missed messages:** Agents can quickly scroll topics without drowning in one endless chat. Two-way sync:** Replies flow back to WhatsApp seamlessly. Scales automatically:** Handle 10k+ conversations without losing track. Leverages existing tools:** WhatsApp (customers) + Telegram (agents). Result: **faster responses, better tracking, and zero need to reinvent chat software.**

How it works This workflow receives messages from Telegram using the Telegram Trigger node. It detects the user’s action (/start or customer name) and decides whether to send a welcome message or perform a customer search. The system fetches customer and access information from Google Sheets, checks if the user is authorized (based on chat IDs in the “Access” sheet), and then proceeds accordingly. If access is granted, the workflow aggregates financial and weight data, formats a summary report, and sends it back to the same Telegram chat automatically. If access is denied or customer data is not found, it sends an appropriate “no permission” or “incorrect name” message to the user. ⚙️ Set up steps Connect your Telegram Bot API credentials in the Input user2, Send Report2, and related Telegram nodes. Connect your Google Sheets account and update: documentId → link to your Google Sheet sheetName → replace with your actual sheet/tab names (“Access”, “Sheet1”, etc.) lookupColumn → update to match column names used in your sheet (e.g., Customer name, Groups). Replace placeholder text such as Your Custom Message and Your Custom Name with your actual message texts or variable names. Test by sending a message to your Telegram bot with either /start or a known customer name. Expected setup time: 10–15 minutes depending on how your Google Sheets and Telegram bot are configured. Keep detailed field mapping or transformation logic (column names, sheet IDs) inside sticky notes within your workflow.

Who’s it for This workflow is perfect for individuals who want a simple expense tracker without needing a full app. If you already use Telegram daily, this makes it effortless to log purchases, track spending, and stay accountable to your budget. How it works / What it does Send an expense in Telegram using the format /spent 5 lunch. n8n parses the message and appends the entry to Google Sheets. Every Sunday at 11:00, the workflow sends a weekly expense summary to Telegram. If you exceed your weekly budget (default €100), you’ll instantly get a budget warning alert. Optionally, the sheet can be cleared weekly to start fresh. How to set up Create a Telegram bot with BotFather, copy the token, and get your Chat ID via getUpdates. Make a copy of the provided Google Sheets template and connect your Google credentials in n8n. Replace <YOUR_CHAT_ID> and <YOUR_SHEET_ID> placeholders in the workflow. Adjust the budget threshold in the “Check Weekly Budget” node if needed. Activate the workflow and test with a sample expense. Requirements A Telegram bot (free, via BotFather). Google Sheets with n8n OAuth2 credentials. An n8n instance (self-hosted or cloud). How to customize the workflow Change the budget threshold in the Code node. Update the summary schedule in the Schedule Trigger node. Expand the Google Sheet with more categories or details. Personalize the Telegram messages to fit your style.

How it works Runs on a schedule and iterates a watchlist of symbols (e.g., BTC/ETH/SOL). For each symbol, request intraday 1h OHLCV from EODHD. A Code node computes Wilder’s RSI(14) and detects 30/70 crossings. When a signal appears, the bot sends a Telegram alert (HTML message) with price, RSI (prev → now), timestamp, and a “View chart” button that opens the pair on TradingView (BINANCE/USD). Set up steps (≈10–15 min) Prereqs: n8n (cloud or self-hosted), EODHD API key, Telegram bot + your chat_id. Env vars: set EODHD_TOKEN and TELEGRAM_CHAT_ID on your n8n instance. Credentials: add your Telegram credential (bot token). Import the workflow JSON. Edit Fields node: adjust the symbol array to your watchlist. Schedule Trigger: choose how often to run (e.g., every 5–10 min). Test: temporarily flip the Code node’s FORCE_ALERT flag to true to verify Telegram delivery, then set it back to false.

🎨 Anime Image Generator with LLM-Enhanced Prompts This workflow turns a short text idea into stunning, AI-generated anime-style images, all from Telegram. It combines a chat LLM for prompt enhancement with Gemini (free) or Leonardo.AI (paid) image models. 🌟 What It Does Accepts a text prompt sent via Telegram. Uses an LLM (DeepSeek via OpenRouter) to expand and enrich the idea into several anime-ready prompts. Lets you choose the image engine: Gemini (90-day free trial with a GCP account). Leonardo.AI (paid, higher-fidelity anime rendering). Generates 4 images per query, converts them to files, and delivers the images back to your Telegram chat. ⚙️ How It Works Telegram Trigger — waits for a text message from you. Image-count Node — stores your prompt & sets how many images to create (default: 4). Prompt Generator (LLM) — transforms your simple prompt into multiple detailed, visually rich anime prompts. Split & Loop — sends each refined prompt to the chosen image generator. Image Generator: Default: HTTP-Gemini node. Alternative: HTTP-Leonardo AI node (swap in for better quality). Convert to File & Send — decodes the generated images and sends them back to you on Telegram. 🔑 Setup Telegram Bot** Create a bot using BotFather. Add your Bot Token & your Telegram User ID to the workflow (look for “Configure Me!” sticky notes). LLM Provider** Default: DeepSeek via OpenRouter — used to expand prompts. You can swap this with any other chat LLM you prefer. Image Engine** Default: Gemini (free trial, good baseline quality). Optional: Leonardo.AI for anime-focused, premium-quality images. Replace the HTTP-Gemini node with the HTTP-Leonardo AI node and set up your Leonardo API key as a Header Auth credential. Optional Adjustments** Change default number of images in the Image-count node. Tweak the LLM prompt template for different artistic styles (e.g., pastel slice-of-life, fantasy, action, cyberpunk). 💡 Tips Start with short, plain prompts — e.g., girl with umbrella in neon city street at night The LLM will enrich it automatically. If images look flat, try Leonardo.AI or adjust the prompt style and guidance scale. Avoid NSFW or copyrighted character prompts — follow the providers’ usage policies. Keep your API keys private and never share them in screenshots. 👥 Who Is This For Anime creators & hobbyists** who want to visualize characters or scenes quickly. Content creators & social posters** who want to share unique anime-style visuals. Anyone who wants easy AI image generation via Telegram, without needing to master prompt engineering. ✨ Ready to go: Run the workflow, send a prompt to your Telegram bot, and watch it turn into beautiful anime images.

Tired of manually checking your YouTube Studio every day just to see how your channel is performing? This workflow is your solution. It automates the entire process of gathering your channel's key statistics and delivers a beautiful, easy-to-read performance report directly to your Telegram chat on a schedule you set. Stay updated on your channel's growth without lifting a finger. How it Works This workflow runs on a custom schedule to give you consistent updates. Scheduled Trigger**: The workflow kicks off automatically at your chosen interval (e.g., every Monday at 6 AM). Fetch Channel Data: It makes a series of requests to the **YouTube Data & Analytics APIs to gather the latest statistics on: Channel Summary (views, watch time, subscribers, etc.) Top Performing Videos Audience Traffic Sources Audience Demographics Process & Format**: The raw data from the APIs is merged and transformed into a clean, human-readable format using Markdown and emojis. Send Telegram Report**: The final formatted summary is sent as a message to your specified Telegram chat, giving you an instant overview of your channel's performance. Setup Steps You'll need to configure credentials for Google and Telegram to get started. Configure Google API Credentials: Create an OAuth 2.0 Client ID from the Google Cloud Console. Make sure to enable the YouTube Analytics API and YouTube Data API v3. In n8n, create new Google API credentials using your Client ID and Client Secret, ensuring you add the required YouTube scopes. Configure Telegram Credentials: Create a new Telegram bot using BotFather to get your API token. Add the token to the Telegram node's credentials. Customize the Workflow: Adjust the Schedule node to set how often you want to receive the report. In the Telegram node, enter the Chat ID for the person or group you want to send the report to.