Google Sheets Automation Workflows
3,632 ready-made Google Sheets workflows for n8n, Make, Zapier, Activepieces, and Pipedream. Spreadsheet-driven automations: logging, reporting, syncing rows to and from every tool in your stack.
Automated Phone Interview Evaluation with Vapi, GP-40 & Google Sheets
This n8n workflow template automatically processes phone interview transcripts using AI to evaluate candidates against specific criteria and saves the results to Google Sheets. Perfect for HR departments, recruitment agencies, or any business conducting phone screenings. ## What This Workflow Does This automated workflow: - Receives phone interview transcripts via webhook - Uses OpenAI GPT models to analyze candidate responses against predefined qualification criteria - Extracts key information (name, phone, location, qualification status) - Automatically saves structured results to a Google Sheet for easy review and follow-up The workflow is specifically designed for driving job interviews but can be easily adapted for any position with custom evaluation criteria. ## Tools & Services Used - **N8N** - Workflow automation platform - **OpenAI API** - AI-powered transcript analysis (GPT-3.5-mini) - **Google Sheets** - Data storage and management - **Webhook** - Receiving transcript data ## Prerequisites Before implementing this workflow, you'll need: 1. **N8N Instance** - Self-hosted or cloud version 2. **OpenAI API Account** - For AI transcript processing 3. **Google Account** - For Google Sheets integration 4. **Phone Interview System** - That can send webhooks (like Vapi.ai) ## Step-by-Step Setup Instructions ### Step 1: Set Up OpenAI API Access 1. Visit [OpenAI's API platform](https://platform.openai.com/) 2. Create an account or log in 3. Navigate to the API Keys section 4. Generate a new API key 5. Copy and securely store your API key ### Step 2: Create Your Google Sheet **Option 1: Use Our Pre-Made Template (Recommended)** 1. Copy our template: [Driver Interview Results Template](https://docs.google.com/spreadsheets/d/18W1ZzPM__foVNjeapuxnon0ZtgxaQjncNaamuZOdUSo/edit?usp=sharing) 2. Click File → Make a copy to create your own version 3. Rename it as desired 4. Copy your new sheet's URL - you'll need this for the workflow **Option 2: Create From Scratch** 1. Go to [Google Sheets](https://sheets.google.com/) 2. Create a new spreadsheet 3. Name it Driver Interview Results (or your preferred name) 4. Set up the following column headers in row 1: - A1: `name` - B1: `phone` - C1: `cityState` - D1: `qualifies` - E1: `reasoning` 5. Copy the Google Sheet URL - you'll need this for the workflow ### Step 3: Import and Configure the N8N Workflow 1. **Import the Workflow** - Copy the workflow JSON from the template - In your N8N instance, go to Workflows → Import from JSON - Paste the JSON and import 2. **Configure OpenAI Credentials** - Click on either OpenAI Chat Model node - Set up credentials using your OpenAI API key - Test the connection to ensure it works 3. **Configure Google Sheets Integration** - Click on the Save to Google Sheets node - Set up Google Sheets OAuth2 credentials - Select your spreadsheet from the dropdown - Choose the correct sheet (usually Sheet1) 4. **Update the Webhook** - Click on the Webhook node - Note the webhook URL that n8n generates - This URL will receive your transcript data ### Step 4: Customize Evaluation Criteria The workflow includes predefined criteria for a Massachusetts driving job. To customize for your needs: 1. Click on the Evaluate Candidate node 2. Modify the system message to include your specific requirements 3. Update the evaluation criteria checklist 4. Adjust the JSON output format if needed **Current Evaluation Criteria:** - Valid Massachusetts driver's license - No felony convictions - Clean driving record (no recent tickets/accidents) - Willing to complete background check - Can pass drug test (including marijuana) - Available full-time Monday-Friday - Lives in Massachusetts ### Step 5: Connect to Vapi.ai (Phone Interview System) This workflow is specifically designed to work with Vapi.ai's phone interview system. Here's how to connect it: #### Setting Up the Vapi Integration 1. **Copy Your N8N Webhook URL** - In your n8n workflow, click on the Webhook node - Copy the webhook URL (it should look like: `https://your-n8n-instance.com/webhook-test/351ffe7c-69f2-4657-b593-c848d59205c0`) 2. **Configure Your Vapi Assistant** - Log into your [Vapi.ai dashboard](https://dashboard.vapi.ai/) - Create or edit your phone interview assistant - In the assistant settings, find the Server section - Set the Server URL to your n8n webhook URL - Set timeout to 20 seconds (as configured in the workflow) 3. **Configure Server Messages** - In your Vapi assistant settings, enable these server messages: - `end-of-call-report` - `transcript[transcripttype=final]` 4. **Set Up the Interview Script** - Use the provided interview script in your Vapi assistant (found in the workflow's system message) - This ensures consistent data collection for the AI evaluation #### Expected Data Format from Vapi The workflow expects Vapi to send data in this specific format.
n8n$9.99Create a Session-Based Telegram Chatbot with GPT-4o-mini and Google Sheets
This workflow builds an AI-powered Telegram chatbot with session management using GPT-4o-mini and Google Sheets. It allows users to manage multiple chat sessions, retrieve summaries, and log interactions for auditing.
n8n$24.99Automate Lead Enrichment with AI and Google Sheets
This workflow automates lead enrichment by integrating Google Sheets, HubSpot, and Bright Data MCP, using AI to enhance data accuracy and efficiency.
n8n$19.99Automated Investor Intelligence: CrunchBase to Google Sheets Data Harvester
# Automated Investor Intelligence: CrunchBase to Google Sheets Data Harvester! ## Workflow Overview This cutting-edge n8n automation is a sophisticated investor intelligence tool designed to transform market research into actionable insights. By intelligently connecting CrunchBase, data processing, and Google Sheets, this workflow: 1. **Discovers Investor Insights**: - Automatically retrieves the latest investor data - Tracks key investment organizations - Eliminates manual market research efforts 2. **Intelligent Data Processing**: - Filters investor-specific organizations - Extracts critical investment metrics - Ensures comprehensive market intelligence 3. **Seamless Data Logging**: - Automatically updates Google Sheets - Creates a real-time investor database - Enables rapid market trend analysis 4. **Scheduled Intelligence Gathering**: - Daily automated tracking - Consistent investor insight updates - Zero manual intervention required ## Key Benefits - **Full Automation**: Zero-touch investor research - **Smart Filtering**: Targeted investment insights - **Comprehensive Tracking**: Detailed investor intelligence - **Multi-Source Synchronization**: Seamless data flow ## Workflow Architecture ### Stage 1: Investor Discovery - **Scheduled Trigger**: Daily market scanning - **CrunchBase API Integration** - **Intelligent Filtering**: - Investor-specific organizations - Key investment metrics - Most recent data ### Stage 2: Data Extraction - **Comprehensive Metadata Parsing** - **Key Information Retrieval** - **Structured Data Preparation** ### Stage 3: Data Logging - **Google Sheets Integration** - **Automatic Row Appending** - **Real-Time Database Updates** ## Potential Use Cases - **Venture Capitalists**: Investment ecosystem mapping - **Startup Scouts**: Investor trend analysis - **Market Researchers**: Comprehensive investment insights - **Business Development**: Strategic partnership identification - **Investment Analysts**: Market intelligence gathering ## Setup Requirements 1. **CrunchBase API** - API credentials - Configured access permissions - Investor organization tracking setup 2. **Google Sheets** - Connected Google account - Prepared tracking spreadsheet - Appropriate sharing settings 3. **n8n Installation** - Cloud or self-hosted instance - Workflow configuration - API credential management ## Future Enhancement Suggestions - Advanced investment trend analysis - Multi-source investor aggregation - Customizable alert mechanisms - Expanded investment stage tracking - Machine learning insights generation ## Technical Considerations - Implement robust error handling - Use secure API authentication - Maintain flexible data processing - Ensure compliance with API usage guidelines ## Ethical Guidelines - Respect business privacy - Use data for legitimate research - Maintain transparent information gathering - Provide proper attribution ## Hashtag Performance Boost #InvestorIntelligence #VentureCapital #MarketResearch #AIWorkflow #DataAutomation #StartupEcosystem #InvestmentTracking #BusinessIntelligence #TechInnovation #StartupFunding ## Workflow Visualization ```plaintext [Daily Trigger] ➜ [Fetch Investor Data] ➜ [Extract Investor Fields] ➜ [Log to Google Sheets] ``` ## Connect With Me **Ready to revolutionize your investor research?** **Email**: Yaron@nofluff.online **YouTube**: [@YaronBeen](https://www.youtube.com/@YaronBeen/videos) **LinkedIn**: [Yaron Been](https://www.linkedin.com/in/yaronbeen/) **Transform your market intelligence with intelligent, automated workflows!**
n8n$4.99Automate SEO Competitor Analysis and Reporting with Semrush and Google Sheets
This workflow automates the process of SEO competitor analysis using the Semrush API and logs the data into Google Sheets for structured reporting. It captures domain overview, organic competitors, organic pages, and keyword-level insights, appending them to different sheets for easy tracking and analysis.
n8n$14.99Batch Scrape Website URLs from Google Sheets to Google Docs with Firecrawl
This workflow contains community nodes that are only compatible with the self-hosted version of n8n. # Firecrawl batch scraping to Google Docs ## Who's it for AI chatbot developers, content managers, and data analysts who need to extract and organize content from multiple web pages for knowledge base creation, competitive analysis, or content migration projects. ## What it does This workflow automatically scrapes content from a list of URLs and converts each page into a structured Google Doc in markdown format. It's designed for batch processing multiple pages efficiently, making it ideal for building AI knowledge bases, analyzing competitor content, or migrating website content to documentation systems. ## How it works The workflow follows a systematic scraping process: - URL Input: Reads a list of URLs from a Google Sheets template - Data Validation: Filters out empty rows and already-processed URLs - Batch Processing: Loops through each URL sequentially - Content Extraction: Uses Firecrawl to scrape and convert content to markdown - Document Creation: Creates individual Google Docs for each scraped page - Progress Tracking: Updates the spreadsheet to mark completed URLs - Final Notification: Provides completion summary with access to scraped content ## Requirements - Firecrawl API key (for web scraping) - Google Sheets access - Google Drive access (for document creation) - Google Sheets template (provided) ## How to set up ### Step 1: Prepare your template - Copy the Google Sheets template - Create your own version for personal use - Ensure the sheet has a tab named Page to doc - List all URLs you want to scrape in the URL column ### Step 2: Configure API credentials Set up the following credentials in n8n: - Firecrawl API: For web content scraping and markdown conversion - Google Sheets OAuth2: For reading URLs and updating progress - Google Drive OAuth2: For creating content documents ### Step 3: Set up your Google Drive folder The workflow saves scraped content to a specific Drive folder - Default folder: Contenu Scrapé (Content Scraped) - Folder ID: 1ry3xvQ9UqM2Rf9C4-AoJdg1lfB9inh_5 (customize this to your own folder) - Create your own folder and update the folder ID in the Create file markdown scraping node ### Step 4: Choose your trigger method Option A: Chat interface - Use the default chat trigger - Send your Google Sheets URL through the chat interface Option B: Manual trigger - Replace chat trigger with manual trigger - Set the Google Sheets URL as a variable in the Get URL node ## How to customize the workflow ### URL source customization - Sheet name: Change Page to doc to your preferred tab name - Column structure: Modify field mappings if using different column names - URL validation: Adjust filtering criteria for URL format requirements - Batch size: The workflow processes all URLs sequentially (no batch size limit) ### Scraping configuration - Firecrawl options: Add specific scraping parameters (wait times, JavaScript rendering) - Content format: Currently outputs markdown (can be modified for other formats) - Error handling: The workflow continues processing even if individual URLs fail - Retry logic: Add retry mechanisms for failed scraping attempts ### Output customization - Document naming: Currently uses the URL as document name (customizable) - Folder organization: Create subfolders for different content types - File format: Switch from Google Docs to other formats (PDF, X, etc.) - Content structure: Add headers, metadata, or formatting to scraped content ### Progress tracking enhancements - Status columns: Add more detailed status tracking (failed, retrying, etc.) - Metadata capture: Store scraping timestamps, content length, etc. - Error logging: Track which URLs failed and why - Completion statistics: Generate summary reports of scraping results ## Use cases ### AI knowledge base creation - E-commerce product pages: Scrape product descriptions and specifications for chatbot training - Documentation sites: Convert help articles into structured knowledge base content - FAQ pages: Extract customer service information for automated support systems - Company information: Gather about pages, services, and team information ### Content analysis and migration - Competitor research: Analyze competitor website content and structure - Content audits: Extract existing content for analysis and optimization - Website migrations: Backup content before site redesigns or platform changes - SEO analysis: Gather content for keyword and structure analysis ### Research and documentation - Market research: Collect information from multiple industry sources - Academic research: Gather content from relevant web sources - Legal compliance: Document website terms, policies, and disclaimers - Brand monitoring: Track content changes across multiple sites ## Workflow features ### Smart processing logic - Duplicate prevention: Skips URLs already marked as Scrapé (scraped) - Empty row filtering: Automatically ignores rows without URLs - Sequential processing: Handles one URL at a time
n8n$9.99Automate LinkedIn Job Scraping and Prospecting with Bright Data and Google Sheets
Automatically scrape LinkedIn job listings using Bright Data, clean the data, and log it into Google Sheets for job hunting and sales prospecting.
n8n$9.99One-Way Sync Between Telegram, Notion, Google Drive, and Google Sheets
# One-way sync between Telegram, Notion, Google Drive, and Google Sheets ## Who is this for? This workflow is perfect for productivity-focused teams, remote workers, virtual assistants, and digital knowledge managers who receive documents, images, or notes through Telegram and want to automatically organize and store them in Notion, Google Drive, and Google Sheets—without any manual work. ## What problem is this workflow solving? Managing Telegram messages and media manually across different tools like Notion, Drive, and Sheets can be tedious. This workflow automates the classification and storage of incoming Telegram content, whether it's a text note, an image, or a document. It saves time, reduces human error, and ensures that media is stored in the right place with metadata tracking. ## What this workflow does - **Triggers on a new Telegram message** using the Telegram Trigger node. - **Classifies the message type** using a Switch node: - Text messages are appended to a Notion block. - Images are converted to base64, uploaded to imgbb, and then added to Notion as toggle-image blocks. - Documents are downloaded, uploaded to Google Drive, and the metadata is logged in Google Sheets. - **Sends a completion confirmation** back to the original Telegram chat. ## Setup 1. **Telegram Bot**: Set up a bot and get the API token. 2. **Notion Integration**: - Share access to your target Notion page/block. - Use the Notion API credentials and block ID where content should be appended. 3. **Google Drive & Sheets**: - Connect the relevant accounts. - Select the destination folder and spreadsheet. 4. **imgbb API**: Obtain a free API key from [imgbb](https://api.imgbb.com/). Replace placeholder credential IDs and asset URLs as needed in the imported workflow. ## How to customize this workflow to your needs - **Change Storage Locations**: - Update the Notion block ID or Google Drive folder ID. - Switch Google Sheet to log in a different file or sheet. - **Add More Filters**: - Use additional Switch rules to handle other Telegram message types (like videos or voice messages). - **Modify Response Message**: - Personalize the Telegram confirmation text based on the file type or sender. - **Use a different image hosting service** if you don't want to use imgbb.
n8n$14.99Transform YouTube Comments into Content Ideas with AI and Google Sheets
This workflow automates the conversion of YouTube comments into actionable content ideas, complete with hooks and outlines, using AI tools and Google Sheets.
n8n$14.99Automate Personality Insights with Google Sheets and Gemini
Transform your n8n instance into a powerful personality insights engine using Google Sheets and Gemini. This workflow automates the calculation of BaZi, Numerology, and DISC analyses, updating your spreadsheet with comprehensive personality summaries.
n8n$14.99Automate Food Calorie Tracking via Telegram with GPT-4 Vision and Google Sheets
This workflow allows users to send food images to a Telegram bot, which uses OpenAI's GPT-4 Vision to identify the food and estimate its caloric value. The results are logged in Google Sheets and sent back to the user for easy tracking.
n8n$4.99Create a Smart Shopping Assistant with Persistent Memory Using Zep, GPT-4, and Google Sheets
Develop a sophisticated shopping assistant that leverages Zep Memory and GPT-4 to provide personalized, context-aware interactions. This workflow enhances user experience by remembering preferences and past interactions.
n8n$4.99AI Website Chatbot with CRM Lead Collection Using GPT and Google Sheets
This n8n training workflow demonstrates how to connect a **sub-workflow** as a **tool** to an AI Agent. In this example, the main workflow is a **Website Chatbot** that engages visitors, collects contact information, and sends that data to a CRM process. The CRM process itself is a separate sub-workflow, connected to the agent as a tool via the **Tool Workflow** node. --- ## Step-by-Step Setup Instructions ### 1. Create the Sub-Workflow (CRM Tool) This sub-workflow will be triggered by the AI agent to process collected information. It will: 1. Receive inputs (email, description) from the main chatbot workflow. 2. Format the data into a structured JSON format. 3. Append the data to a Google Sheet (acting as the CRM database). 4. Send a confirmation message back to the main workflow. **Steps inside the sub-workflow:** - **When Executed by Another Workflow** - Triggered by the main workflow's tool node. - **Convert Conversation (Agent)** - Uses OpenAI to extract and format the input into a JSON structure: ```json { email: "jane.doe@example.com", description: "Wants help automating lead intake and sending Slack notifications." } ``` **Structured Output Parser** - Ensures the extracted data matches the expected JSON schema. **Append row in sheet (Google Sheets)** - Adds the new lead data to your CRM sheet. **Code Node** - Returns a simple text confirmation like `Thanks for the info, we will be in touch soon`. ### Required setup for Google Sheets: - Enable the Google Sheets API and connect your Google account in n8n. - Create a sheet with at least the columns `email` and `description`. - Use the sheet's Document ID and tab name in the Google Sheets node. --- ## 2. Create the Main Workflow (Website Chatbot) This workflow acts as the main AI Agent handling incoming chat messages. ### Steps in the main workflow: 1. **When chat message received** - Starts the workflow whenever a visitor sends a message via your chatbot integration. 2. **Website Chatbot (Agent Node)** - Configured with a **System Message** that: - Briefly explains your services. - Asks the visitor what processes they want to automate. - Requests their name and email. - Sends collected data to the CRM tool once email and description are available. 3. **OpenAI Chat Model** - Connects to the AI agent as its language model. 4. **Simple Memory** - Stores short-term context for the ongoing chat. 5. **CRM Tool (Tool Workflow Node)** - Points to the sub-workflow created in Step 1, allowing the chatbot to trigger it directly. --- ## 3. Connecting the Sub-Workflow to the AI Agent 1. Add a **Tool Workflow** node to the main workflow. 2. Select `Parameter` as the source. 3. Paste in your sub-workflow JSON or select it from your n8n workflows. 4. Connect the **Tool Workflow** node to your AI Agent using the `ai_tool` connection. 5. Give the tool a clear description (e.g., `CRM tool to store lead information`) so the agent knows when to use it. --- ## 4. How It Works in Action 1. A visitor sends a message through the chatbot. 2. The AI Agent engages, asks questions, and collects their name, email, and request. 3. Once collected, the agent triggers the **CRM Tool**. 4. The sub-workflow formats the data, stores it in Google Sheets, and sends a confirmation. 5. The chatbot confirms with the visitor that their request was received. --- ## 5. Customization Ideas - Replace Google Sheets with your actual CRM API. - Add validation to ensure the email format is correct before saving. - Expand the CRM tool to send a Slack or email notification after storing the lead. --- **Created by Robert A. - Ynteractive** Website: https://ynteractive.com Email: robert@ynteractive.com
n8n$9.99Automate Daily Google Ads Reports to Notion and Google Sheets
This workflow automates the daily extraction and reporting of Google Ads performance data, merging click and conversion metrics into Notion and Google Sheets for streamlined analysis.
n8n$14.99Automate WhatsApp Q&A and Booking with AI and Google Sheets
This workflow transforms WhatsApp chats into instant answers and real-time bookings using AI. It integrates Gemini embeddings and Pinecone for knowledge retrieval, logging reservations directly into Google Sheets.
n8n$14.99Automate Expense Tracking from Receipt Photos with Telegram and Google Sheets
Effortlessly track expenses by sending receipt photos to your Telegram bot, using OCR.space to extract data and log it in Google Sheets.
n8n$4.99Automate Resume Screening with Gmail, Gemini AI, Airtable, and Google Sheets
Streamline your hiring process by automatically parsing, matching, and evaluating resumes received via email, and organizing candidate data and AI scores in Google Sheets.
n8n$14.99Automate Google Sheets Data Analysis with Google Gemini AI
This n8n workflow leverages Google Gemini AI to interpret natural language queries about Google Sheets data, optimizing processing through a sub-workflow for efficient token usage and rapid responses.
n8n$14.99Automate Sentiment Analysis for Call Center Transcripts Using OpenAI and Google Sheets
This workflow streamlines sentiment analysis for call center transcripts by leveraging OpenAI's language model and Google Sheets. It provides structured feedback on various sentiment dimensions, enabling managers to enhance performance and training.
n8n$9.99SEO Keyword Difficulty & SERP Analysis with RapidAPI and Google Sheets
## Automated Keyword Difficulty & SERP Checker with Google Sheets Integration **Description:** This n8n workflow automates keyword SEO analysis by collecting user input via a form, querying the [**Difficulty Checker API on RapidAPI**](https://rapidapi.com/PrineshPatel/api/keyword-difficulty-checker1) to retrieve keyword difficulty and SERP data, and storing the results in Google Sheets for further SEO tracking and decision-making. --- ### Node-by-Node Breakdown ### 1. **On form submission** triggers the workflow by capturing `keyword` and `country` from a user-submitted form. ### 2. **Keyword Difficulty Checker** Makes a POST request to the [**Keyword Difficulty Checker API on RapidAPI**](https://rapidapi.com/PrineshPatel/api/keyword-difficulty-checker1) to fetch keyword difficulty index and SERP results. ### 3. **Reformat 1** Extracts only the `keywordDifficulty` value from the API response JSON. ### 4. **Keyword Difficulty Checker1** Appends the `keyword` and its difficulty index to the backlink overflow Google Sheet for structured keyword tracking. ### 5. **Reformat 2** Extracts the `serpResults` list from the API response for additional ranking data. ### 6. **SERP Results** Stores the extracted SERP data into the backlinks Google Sheet for ranking comparison and analysis. --- ### Benefits of This Workflow - **Automation of SEO research** - Eliminates manual keyword analysis by integrating with the [**Keyword Difficulty Checker API on RapidAPI**](https://rapidapi.com/PrineshPatel/api/keyword-difficulty-checker1). - **Real-time keyword tracking** - Automatically stores difficulty scores and SERP results into Google Sheets. - **Scalable** - Easily extendable for bulk keyword analysis or reporting. - **Reliable data source** - Uses trusted third-party API ([**Keyword Difficulty Checker**](https://rapidapi.com/PrineshPatel/api/keyword-difficulty-checker1)) for accurate and updated metrics. - **No code** - Built with n8n, enabling low-code/no-code automation without writing backend services. --- ### Use Cases 1. **Content Planning for SEO Teams** Identify low-competition keywords using real-time difficulty scoring to prioritize blog content. 2. **Client SEO Reporting** Track and present SERP visibility and keyword trends in Google Sheets dashboards. 3. **Keyword Competition Monitoring** Periodically monitor keyword rankings and adjust backlink strategy accordingly. 4. **Freelance SEO Projects** Save time by automating research tasks using the [**Keyword Difficulty Checker API on RapidAPI**](https://rapidapi.com/PrineshPatel/api/keyword-difficulty-checker1). --- ### How to Obtain Your API Key for Keyword Difficulty Checker API 1. **Sign Up or Log In** Visit [RapidAPI](https://rapidapi.com/) and create a free account using your email or social login. 2. **Go to the API Page** Navigate to the [Keyword Difficulty Checker API by PrineshPatel](https://rapidapi.com/PrineshPatel/api/keyword-difficulty-checker1). 3. **Subscribe to the API** Click **Subscribe to Test**, then choose a pricing plan that fits your needs (Free, Basic, Pro). 4. **Get Your API Key** After subscribing, go to the **Security** tab on the API page to find your **X-RapidAPI-Key**. 5. **Use Your API Key** Add the API key to your HTTP request headers: ```http X-RapidAPI-Key: YOUR_API_KEY ``` --- Create your **free n8n account** and set up the workflow in just a few minutes using the link below: [Start Automating with n8n](https://n8n.partnerlinks.io/7fuarh1e6dz5) Save time, stay consistent, and grow your LinkedIn presence effortlessly!
n8n$9.99Automate Business Contact Extraction from Google Maps to Google Sheets
Efficiently gather business contact information from Google Maps and store it in Google Sheets using regex for data validation and cleaning.
n8n$9.99Automate Subscription Tracking and Reminders with GPT-4, Telegram, and Google Sheets
This workflow automates the management of subscription billing reminders and data updates using Telegram and Google Sheets, powered by GPT-4. It checks for upcoming due subscriptions daily at 8:00 AM, formats the information, and sends reminders to users, enhancing efficiency and accuracy.
n8n$14.99Automate Daily Product Hunt Launch Tracking with Google Sheets Integration
This workflow automates the process of tracking daily launches on Product Hunt by fetching product details, verifying website redirects, and logging the final information into a Google Sheet. Ideal for product managers, indie hackers, and content curators.
n8n$9.99Automate Web Scraping and Data Management with CSV, Google Sheets, and Microsoft Excel
This workflow automates the process of web scraping, extracting data from a website, and managing it by sending a CSV file via email and saving the data to Google Sheets and Microsoft Excel for further analysis.
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