Workflow Templates

Purpose of the workflow Most scraping workflows get blocked by anti-bot technologies. To avoid this, you can use Scrappey to scrape every website you want. How it works: We use Test Data and make a API Call to the Scrappey service. We get the scraped website data back as a result. Setup Steps: Replace YOUR_API_KEY in the "Scrappey API Call" node with your Scrappey API Key (Register For Free) Replace the test data with your production data. You can plug in any type of data connector at this point of your workflow.

What problem does this workflow solve? Capture leads from your website, enrich them via Apollo, store them in HubSpot, send a personalized thank-you email, and notify your team—all automatically. What does this workflow do? Capture leads from website forms automatically. Send a personalized thank-you email to each new lead. Enrich lead data using Apollo for deeper insights. Create or update a contact/lead in HubSpot CRM. Notify the internal team via email about the new lead. Setup Gmail Setup Create Gmail Credentials by creating a project in Google Cloud Console. Hubspot Setup Create Hubspot Credentials with App Token. How it Works: This workflow automates your lead capture, enrichment, and follow-up process to ensure no opportunity is missed. Here's how it works: 1. Website Form Submission A visitor submits a lead form on your website. Lead details like name, email, company, and message are captured instantly. 2. Personalized Thank-You Email A customized thank-you email is automatically sent to the lead, building trust and confirming receipt of their inquiry. 3. Apollo Lead Enrichment The captured data is enriched using Apollo to fetch additional information like job title, LinkedIn profile, and other details. This helps you better understand and qualify your leads. 4. Create Lead in HubSpot The enriched lead information is pushed into HubSpot as a new contact or lead. Duplicate checks ensure that there are no repeat entries. 5. Internal Notification An email notification with enriched lead details is sent to your team. Your team can follow up immediately with a complete profile. Who can use it? This workflow can be used by any website owner with a "Get In Touch" or "Contact Us" button.

Search LinkedIn companies, Score with AI and add them to Google Sheet CRM Setup Video: https://youtube.com/watch?v=m904RNxtF0w&t Who is this for? This template is ideal for sales teams, business development professionals, and marketers looking to build a targeted prospect database with automatic qualification. Perfect for agencies, consultants, and B2B companies wanting to identify and prioritize the most promising potential clients. What problem does this workflow solve? Manually researching companies on LinkedIn, evaluating their fit for your services, and tracking them in your CRM is time-consuming and subjective. This automation streamlines lead generation by automatically finding, scoring, and importing qualified prospects into your database. What this workflow does This workflow automatically searches for companies on LinkedIn based on your criteria, retrieves detailed information about each company, filters them based on quality indicators, uses AI to score how well they match your ideal customer profile, and adds them to your Google Sheet CRM while preventing duplicates. Setup Create a Ghost Genius API account and get your API key Configure HTTP Request nodes with Header Auth credentials Create a copy of the provided Google Sheet template Set up your Google Sheet and OpenAI credentials following n8n documentation Customize the "Set Variables" node to match your target audience and scoring criteria How to customize this workflow Modify search parameters to target different industries, locations, or company sizes Adjust the follower count threshold based on your qualification criteria Customize the AI scoring system to align with your specific product or service offering Add notification nodes to alert you when high-scoring companies are identified

Who is this for? This workflow is ideal for developers, content creators, or customer support teams looking to automate text-to-speech conversion using OpenAI. What problem does this solve? It automates the process of converting text inputs into speech, reducing manual effort and enhancing productivity. What this workflow does: This workflow triggers when a text input is received via a webhook, converts it into audio using the OpenAI API, and sends the generated speech back through a webhook response. Setup: Ensure you have an OpenAI API key (you can get it from OpenAI website). Set up the webhook URL and parameters. Configure the OpenAI node with your API key (Create New Credentials). set up the responde to webhook node.

How it works This template automates the conversion of CAD and BIM files Revit, AutoCAD, IFC, MicroStation (e.g. .rvt, .ifc, .dwg, .dgn) into structured Excel databases and lightweight 3D geometry .dae files using the DataDrivenConstruction open-source converter. 📦 High-level steps: Set file paths and converter path in the Set node Trigger conversion via Execute Command (runs .exe converter offline) Output includes .xlsx (data) and .dae (3D model) files Includes sticky note instructions for troubleshooting and GitHub repo info Set up steps 🕒 Setup time: ~10 minutes You’ll need: Windows machine (offline or airgapped OK) Path to the converter .exe file Path to a sample .rvt (or .ifc, .dwg, .dgn) file 🧷 Setup paths in the Set node: path_to_converter = "C:\\...\\RvtExporter.exe" path_project_file = "C:\\...\\project.rvt" Docs & Issues: Full Readme on GitHub

Complete MCP server exposing all LoneScale Tool operations to AI agents. Zero configuration needed - all 2 operations pre-built. ⚡ Quick Setup Need help? Want access to more workflows and even live Q&A sessions with a top verified n8n creator.. All 100% free? Join the community Import this workflow into your n8n instance Activate the workflow to start your MCP server Copy the webhook URL from the MCP trigger node Connect AI agents using the MCP URL 🔧 How it Works • MCP Trigger: Serves as your server endpoint for AI agent requests • Tool Nodes: Pre-configured for every LoneScale Tool operation • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Uses official n8n LoneScale Tool tool with full error handling 📋 Available Operations (2 total) Every possible LoneScale Tool operation is included: 📝 List (1 operations) • Create a list 🔧 Item (1 operations) • Create a item 🤖 AI Integration Parameter Handling: AI agents automatically provide values for: • Resource IDs and identifiers • Search queries and filters • Content and data payloads • Configuration options Response Format: Native LoneScale Tool API responses with full data structure Error Handling: Built-in n8n error management and retry logic 💡 Usage Examples Connect this MCP server to any AI agent or workflow: • Claude Desktop: Add MCP server URL to configuration • Custom AI Apps: Use MCP URL as tool endpoint • Other n8n Workflows: Call MCP tools from any workflow • API Integration: Direct HTTP calls to MCP endpoints ✨ Benefits • Complete Coverage: Every LoneScale Tool operation available • Zero Setup: No parameter mapping or configuration needed • AI-Ready: Built-in $fromAI() expressions for all parameters • Production Ready: Native n8n error handling and logging • Extensible: Easily modify or add custom logic > 🆓 Free for community use! Ready to deploy in under 2 minutes.

Transform your lead generation process with this powerful n8n workflow that automatically captures form submissions from Google Forms and creates organized lead cards in Trello. 🎯 Who Is This For? This workflow is perfect for: Sales teams who need to quickly organize and track incoming leads. Marketing professionals running lead generation campaigns Small business owners wanting to streamline their customer acquisition process Consultants and service providers collecting client information through forms Anyone who wants to eliminate manual data entry between forms and project management tools 🛠️ Tools Involved & Prerequisites Required Tools: n8n Google Forms - for lead capture forms Trello - for lead management and organization Prerequisites: Active Google account with Forms access Trello account with board creation permissions ⚙️ How It Works This workflow automatically transforms Google Form submissions into organized Trello cards for lead management: Form Trigger: When someone submits your Google Form, the workflow instantly captures all their information Data Mapping: The system takes the form responses and maps them to the appropriate Trello card fields Trello Card Creation: Each lead becomes a structured Trello card with the person's name and company as the title, plus all form data organized in custom fields 🚀 Setup Instructions Import the workflow template into your n8n instance Access the set up instructions here: https://www.notion.so/Google-Forms-to-Trello-Automation-Setup-Instructions-213718e8c6ba807f9972ff2f81f1057a?source=copy_link

Video Guide I prepared a detailed guide that showed the whole process of building an AI bot, from the simplest version to the most complex in a template. .png) Who is this for? This workflow is ideal for developers, chatbot enthusiasts, and businesses looking to build a dynamic Telegram bot with memory capabilities. The bot leverages OpenAI's assistant to interact with users and stores user data in Supabase for personalized conversations. What problem does this workflow solve? Many simple chatbots lack context awareness and user memory. This workflow solves that by integrating Supabase to keep track of user sessions (via What this workflow does This Telegram bot template connects with OpenAI to answer user queries while storing and retrieving user information from a Supabase database. The memory component ensures that the bot can reference past interactions, making it suitable for use cases such as customer support, virtual assistants, or any application where context retention is crucial. 1.Receive New Message: The bot listens for incoming messages from users in Telegram. Check User in Database: The workflow checks if the user is already in the Supabase database using the Create New User (if necessary): If the user does not exist, a new record is created in Supabase with the telegram_id and a unique Start or Continue Conversation with OpenAI: Based on the user’s context, the bot either creates a new thread or continues an existing one using the stored Merge Data: User-specific data and conversation context are merged. Send and Receive Messages: The message is sent to OpenAI, and the response is received and processed. Reply to User: The bot sends OpenAI’s response back to the user in Telegram. Setup Create a Telegram Bot using the Botfather and obtain the bot token. Set up Supabase: Create a new project and generate a Create a new table named create table public.telegram_users ( id uuid not null default gen_random_uuid (), date_created timestamp with time zone not null default (now() at time zone 'utc'::text), telegram_id bigint null, openai_thread_id text null, constraint telegram_users_pkey primary key (id) ) tablespace pg_default; OpenAI Setup: Create an OpenAI assistant and obtain the Customize your assistant’s personality or use cases according to your requirements. Environment Configuration in n8n: Configure the Telegram, Supabase, and OpenAI nodes with the appropriate credentials. Set up triggers for receiving messages and handling conversation logic. Set up OpenAI assistant ID in "++OPENAI - Run assistant++" node.

Complete MCP server exposing all Hacker News Tool operations to AI agents. Zero configuration needed - all 3 operations pre-built. ⚡ Quick Setup Need help? Want access to more workflows and even live Q&A sessions with a top verified n8n creator.. All 100% free? Join the community Import this workflow into your n8n instance Activate the workflow to start your MCP server Copy the webhook URL from the MCP trigger node Connect AI agents using the MCP URL 🔧 How it Works • MCP Trigger: Serves as your server endpoint for AI agent requests • Tool Nodes: Pre-configured for every Hacker News Tool operation • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Uses official n8n Hacker News Tool tool with full error handling 📋 Available Operations (3 total) Every possible Hacker News Tool operation is included: 🔧 All (1 operations) • Get many items 🔧 Article (1 operations) • Get an article 👤 User (1 operations) • Get a user 🤖 AI Integration Parameter Handling: AI agents automatically provide values for: • Resource IDs and identifiers • Search queries and filters • Content and data payloads • Configuration options Response Format: Native Hacker News Tool API responses with full data structure Error Handling: Built-in n8n error management and retry logic 💡 Usage Examples Connect this MCP server to any AI agent or workflow: • Claude Desktop: Add MCP server URL to configuration • Custom AI Apps: Use MCP URL as tool endpoint • Other n8n Workflows: Call MCP tools from any workflow • API Integration: Direct HTTP calls to MCP endpoints ✨ Benefits • Complete Coverage: Every Hacker News Tool operation available • Zero Setup: No parameter mapping or configuration needed • AI-Ready: Built-in $fromAI() expressions for all parameters • Production Ready: Native n8n error handling and logging • Extensible: Easily modify or add custom logic > 🆓 Free for community use! Ready to deploy in under 2 minutes.

How it works This workflow demonstrates how to use n8n to serve a complete, styled HTML webpage. It acts as a mini web server, responding to browser requests with your custom HTML content. Webhook Trigger: The workflow starts with a Webhook node configured to listen for GET requests on a specific path. When you visit this node's Production URL in a browser, it triggers the workflow. Respond with HTML: The Respond to Webhook node is configured to send a response back to the browser. Content-Type Header: It sets a crucial response header, Content-Type: text/html, which tells the browser to render the response as a webpage, not just plain text. HTML Body: The entire HTML, CSS, and JavaScript for the webpage is pasted directly into the Body field of this node. When activated, visiting the webhook URL will instantly display the custom webpage. Set up steps Setup time: < 1 minute This workflow is ready to use out-of-the-box. Activate the workflow. Open the Your WebPage (Webhook) node and copy its Production URL. Paste the URL into your browser to see the live tutorial page. To use your own HTML, simply open the Site (Respond to Webhook) node and replace the content in the Body field with your own code.

Avoid Asking Redundant Questions with Dynamically Generated Forms using OpenAI Target Audience This workflow has been built for those who require a form to capture as much data as possible as well as the answers to predefined questions, whilst optimising the user experience by avoiding asking redundant questions. Use Case When creating a form to capture information, it can be useful to give the user an opportunity to input a long answer to a large, open-ended question. We then want to drill down to answer specific questions that we require the answer to. When doing this, we don't want to ask duplicate questions. This particular scenario imagines an AI consultancy capturing leads. What it Does This workflow requires users to input basic information and then answer an open ended question. The specific questions on the next page will only be those that weren't answered in the open-ended question. How it Works The open-ended question (and relevant basic information) is analysed by an LLM to determine which specific questions have not been answered. Chain-of-thought reasoning is utilised and the output structure is specified with the Structured Output Parser. Those questions that have already been answered are filtered out nodes. The remaining items are then used to generate the last page of the form. Once the user has filled in the final page of the form, they are shown a form completion page. Setup Add your OpenAI credentials Go to the Get Basic Information node and click Test Step Complete the form to test the generic use case Modify the prompt in Analyse Response to fit your use case Next Steps Add additional nodes to send an email to the form owner Add a subsequent LLM call to analyse the form response - those that are qualified should be given the opportunity to book an appointment

This workflow is designed to automate task reminders by retrieving tasks from a Notion database and sending reminders to Slack users. It checks for incomplete tasks from a Notion database and sends a Slack message to the relevant users with the task details and due dates. The automation is scheduled to run every weekday at 9:00 AM, ensuring that users are always reminded of pending tasks. Who is this for? This workflow is ideal for teams or individuals who manage their tasks using Notion but rely on Slack for communication. It provides an automated solution for ensuring that tasks in Notion are followed up on, reducing the risk of missing deadlines. What problem is this workflow solving? Often, team members need to be reminded of tasks from various platforms. This workflow bridges the gap between task management in Notion and communication in Slack by automatically sending task reminders. It ensures that team members are informed of their pending tasks each morning, helping them stay organized and on top of their work. What this workflow does Triggers every weekday at 9:00 AM: The workflow runs at 9:00 AM, Monday through Friday. Fetches tasks from Notion: It retrieves tasks from a Notion database. Filters incomplete tasks: The workflow filters tasks that are not marked as "Done." Fetches Slack users: It retrieves all Slack users to ensure that the reminders are sent to the correct user. Matches tasks to the correct user: It checks the Notion task assignee and matches it with the appropriate Slack user. Sends Slack reminders: Sends a Slack direct message to each user with their incomplete tasks and due dates. Setup Connect Notion: You will need to connect your Notion account and specify the database containing tasks. Connect Slack: Authenticate with Slack using OAuth to allow the workflow to send messages on your behalf. Notion user email mapping: Ensure that the Notion users’ email addresses are correctly mapped to their corresponding Notion user profiles. Slack user full name mapping: Ensure that the Slack users’ full names are correctly mapped to their corresponding Slack user profiles. Adjust schedule: If needed, modify the schedule node to run at a different time or frequency. How to customize this workflow Change the database**: You can adjust the workflow to pull tasks from a different Notion database by modifying the "Get To Dos from Tasks Database" node. Add more users**: The workflow currently supports two users, but you can expand it to support more by adding additional logic in the "Switch for Notion Users Emails" node. Modify the message format**: The Slack message content can be customized further to include more task details or change the message format. Workflow Summary This workflow automates sending task reminders from a Notion database to Slack users. By running every weekday morning, it ensures that users receive timely reminders of their incomplete tasks, helping them stay organized and efficient.