Respond to WhatsApp messages with AI like a pro!
This n8n template demonstrates the beginnings of building your own n8n-powered WhatsApp chatbot! Under the hood, utilise n8n's powerful AI features to handle different message types and use an AI agent to respond to the user. A powerful tool for any use-case! How it works Incoming WhatsApp Trigger provides a way to get messages into the workflow. The message received is extracted and sent through 1 of 4 branches for processing. Each processing branch uses AI to analyse, summarize or transcribe the message so that the AI agent can understand it. The supported types are text, image, audio (voice notes) and video. The AI Agent is used to generate a response generally and uses a wikipedia tool for more complex queries. Finally, the response message is sent back to the WhatsApp user using the WhatsApp node. How to use Once you have setup and configured your WhatsApp account, you'll need to activate your workflow to start processing messages. Good to know: Large media files may negatively impact workflow performance. Requirements WhatsApp Buisness account Google Gemini for LLM. Gemini is used specifically because it can accept audio and video files whereas at time of writing, many other providers like OpenAI's GPT, do not. Customising this workflow For performance reasons, consider detecting large audio and video before sending to the LLM. Pre-processing such files may allow your agent to perform better. Go beyond and create rich and engagement customer experiences by responding using images, audio and video instead of just text!
By JimleukExtract Instagram profile data with Apify and store in Google Sheets
Workflow Overview This cutting-edge n8n automation is a powerful social media intelligence gathering tool designed to transform Instagram profile research into a seamless, automated process. By intelligently combining web scraping, data formatting, and cloud storage technologies, this workflow: Discovers Profile Insights: Automatically scrapes Instagram profile data Captures comprehensive profile metrics Extracts critical social media intelligence Intelligent Data Capture: Retrieves follower counts Collects biographical information Captures profile picture and external links Seamless Data Logging: Automatically stores data in Google Sheets Creates a living, updateable database Enables easy analysis and tracking Key Benefits 🤖 Full Automation: Instant profile intelligence 💡 Comprehensive Insights: Detailed social media metrics 📊 Effortless Tracking: Automated data collection 🌐 Multi-Purpose Research: Flexible data gathering Workflow Architecture 🔹 Stage 1: Trigger & Input Form-Based Trigger: Manual username submission Webhook Support: Flexible data entry methods User-Driven Initiation 🔹 Stage 2: Web Scraping Apify Integration: Robust Instagram data extraction Comprehensive Profile Scanning: Followers count Following count Profile biography Profile picture URL 🔹 Stage 3: Data Formatting Intelligent Data Mapping Standardized Data Structure Preparation for Storage 🔹 Stage 4: Cloud Logging Google Sheets Integration Persistent Data Storage Easy Access and Analysis Potential Use Cases Influencer Marketing: Talent identification Competitive Intelligence: Audience research Social Media Analysis: Performance tracking Recruitment: Talent scouting Brand Partnerships: Collaboration opportunities Setup Requirements Apify Account Instagram scraping actor API token Configured scraping parameters Google Sheets Connected Google account Prepared tracking spreadsheet Appropriate sharing settings n8n Installation Cloud or self-hosted instance Workflow configuration API credential management Future Enhancement Suggestions 🤖 Advanced profile scoring 📊 Engagement rate calculation 🔔 Real-time change alerts 🌐 Multi-platform profile tracking 🧠 AI-powered insights generation Technical Considerations Implement robust error handling Use exponential backoff for API calls Maintain flexible data extraction strategies Ensure compliance with platform terms of service Ethical Guidelines Respect user privacy Use data for legitimate research Maintain transparent data collection practices Provide opt-out mechanisms Connect With Me Ready to unlock social media insights? 📧 Email: Yaron@nofluff.online 🎥 YouTube: @YaronBeen 💼 LinkedIn: Yaron Been Transform your social media research with intelligent, automated workflows! InstagramDataScraping SocialMediaIntelligence InfluencerMarketing DataAutomation AIResearch MarketingTechnology SocialMediaAnalytics ProfileIntelligence WebScraping MarketingTech
By Yaron BeenSimple lead capture and follow-on with n8n multi-forms
This n8n template demonstrates the easiest way to build a lead capture flow for your side project, startup or small business where simple works best! If Typeform's costs are getting you down or you feel Google form URLs are off-putting, then definitely give this a try. How it works Our flow begins with a form trigger to capture a newsletter signup and the user's email is captured into a google sheet. Google Sheet is used for demonstration purposes but this could be any database. Multi-page forms allow you to continue the onboarding experience with a short survey. 3 form nodes are chained to capture more details from the user which update the same row in the google sheet. Finally, a form ending node shows a customised completion screen for our user. Check out the example sheet here: https://docs.google.com/spreadsheets/d/15W1PiFjCoiEBHHKKCRVMLmpKg4AWIy9w1dQ2Dq8qxPs/edit?usp=sharing How to use Keeping forms simple may serve to increase form completion rates. If you feel the need to add additional fields, consider breaking them up into more forms and group them contextually. Requirements Google Sheets for data capture Slack for notifications Feel free to swap these out for services that you use! Customising this workflow Play with multi-form design to maximise the opportunity of getting to know the user better. That said, lengthy flows are likely to put people off. Instead of showing a static completion screen, perhaps redirecting to your blog or other more interesting page.
By JimleukMulti-platform AI sales agent with RAG, CRM logging & appointment booking
Multi-Platform AI Sales Agent with RAG, CRM Logging & Appointment Booking This workflow acts as a 24/7 sales agent, engaging leads across WhatsApp, Instagram, Facebook, Telegram, and your website. It intelligently transcribes audio messages, answers questions using a knowledge base, and uses modular sub-workflows to manage your CRM in Airtable and book appointments in Google Calendar. --- Who Is It For? This solution is designed for service-based businesses that require a sophisticated, multi-channel lead management and appointment booking system. Agencies, consultants, and clinics looking to automate lead qualification and booking across text and voice messages. Sales teams needing a robust system that separates CRM and calendar logic for easier management and scalability. Advanced n8n users who want a powerful, agent-based framework that can be easily customized and extended. --- Key Features & Workflow This system is composed of a parent workflow that orchestrates the conversation and calls specialized sub-workflows (agents) to perform specific tasks. Omni-Channel Engagement: Greets and converses with leads naturally on Website Chat, WhatsApp, Instagram, Facebook, and Telegram. Voice Message Transcription: Automatically transcribes incoming audio/voice notes from WhatsApp and Telegram into text, allowing the AI to understand and respond without manual intervention. RAG-Powered Intelligence: The AI agent draws answers from your dedicated PostgreSQL Knowledge Base (RAG), providing accurate information about your services, pricing, and process. A built-in tool allows you to load new knowledge documents from Google Drive. Modular CRM Agent (Sub-Workflow): When the conversation requires CRM actions (like creating a contact or updating an opportunity), the main agent calls a dedicated Airtable CRM sub-workflow to handle the task. Modular Calendar Agent (Sub-Workflow): To book appointments, the main agent calls a separate Google Calendar sub-workflow, which manages event creation, updates, and deletions. --- What You'll Need This workflow framework requires credentials for the following services: An AI provider (OpenAI is used for the main agent, transcription, and embeddings). PostgreSQL database with the pgvector extension (for RAG and chat memory). Airtable account (for the CRM sub-workflow). Google Calendar account (for the Calendar sub-workflow). Telegram Bot credentials. A Meta Developer Account (for WhatsApp, Instagram & Facebook). (Optional) Google Drive for loading knowledge documents. (Optional) Google Gemini for embeddings. --- How to Set It Up This is a modular system. You must set up the sub-workflows first. Deploy Sub-Workflows: Create two new, separate workflows using the provided templates for the CRM Agent and the Calendar Agent. Configure the credentials (Airtable, Google Calendar) within those workflows, then save and activate them. Link Sub-Workflows in Main Workflow: Return to this main workflow. In the "CRM Agent" and "Consultation Agent" tool nodes, select the new workflows you just created from the dropdown list. Configure Main Credentials: Securely add the remaining credentials (OpenAI, PostgreSQL, Telegram, and your Meta App) in this main workflow. Personalize the AI Agent: In the "Update Agent Details" node, fill in your business name, the agent's persona name, and your key services to customize the AI's personality. Load Your Knowledge (Optional): To populate the RAG database, use the manual trigger path starting with "When clicking ‘Execute workflow’" to download a document from Google Drive and insert it into your PostgreSQL vector store. Activate: Configure your channel-specific details (e.g., Phone Number ID in WhatsApp nodes), save the workflow, and activate it. --- Demo CRM Table: View on Airtable
By Vansh AroraCollects images from web search results and send to Google Sheets
This workflow collects images from web search results on a specific query, analyzes the image for labels, formats the text, and adds the information in Google Sheets. HTTP Request node gets images from the web. AWS Rekognition node analyzes the images (in this case, it detects text in an image). Set node sets the values necessary for the data set. Function node transforms the text detected in the image to lower case. Google Sheets node adds the image information to a sheet that serves as data set.
By LorenaTransform Gmail newsletters into insightful LinkedIn posts using OpenAI
Who Is This For? This workflow is perfect for content creators, marketers, and business professionals who receive regular newsletters and want to effortlessly convert them into engaging LinkedIn posts. By automating the extraction and repurposing process, you can save time and consistently share thoughtful updates with your network. What Problem Does This Workflow Solve? Manually reading newsletters, extracting the key points, and then formatting that content into professional, engaging LinkedIn posts can be time-consuming and error-prone. This workflow automates those steps by: Filtering Emails: Uses the Gmail node to process only those emails from a specific sender (e.g., newsletter@example.com). Extracting Content: Leverages OpenAI to identify and summarize the top news items in your newsletter. Generating Posts: Crafts concise, insightful LinkedIn posts in a smart, deadpan style with a touch of subtle humor. Publishing: Posts the generated content directly to LinkedIn. What This Workflow Does Filter Newsletters: The Gmail node is set up to only handle emails from your chosen sender, ensuring that only relevant newsletters are processed. Extract Key Content: An OpenAI node analyzes the newsletter text to pull out the most important news items, including headlines and summaries. Split Content: A Split Out node divides the extracted content so each news item is processed on its own. Generate LinkedIn Posts: Another OpenAI node takes each news item's details and produces a well-structured LinkedIn post that delivers practical insights and ends with a reflective observation or question. Publish to LinkedIn: The LinkedIn node publishes the crafted posts directly to your account. Setup Gmail Node: Rename it to “Filter Gmail Newsletter” and configure it to filter emails by your newsletter sender. OpenAI Nodes: Ensure your OpenAI API credentials are set up correctly. Customize the prompt if needed to match your desired tone. LinkedIn Node: Rename it to “Post to LinkedIn” and confirm that your LinkedIn OAuth2 credentials are properly configured. How to Customize OpenAI Prompts: Adjust the prompts in the OpenAI nodes to fine-tune the post tone and output formatting. Email Filter: Change the Gmail filter to match the sender of your newsletters. Post Processing: Optionally, add extra formatting (using Function nodes) to further enhance the readability of the generated LinkedIn posts. This template offers an automated, hands-off solution to transform your newsletter content into engaging LinkedIn updates, keeping your audience informed and inspired with minimal effort.
By Ramsey NjireAutomate CV screening with GPT-4o-mini: Gmail to Google Sheets HR evaluation system
AI-Powered HR Workflow: CV Analysis and Evaluation from Gmail to Sheets Who is this for? This workflow is designed for HR professionals, recruiters, startup founders, and operations teams who receive candidate resumes by email and want to automate the evaluation process using AI. It's ideal for teams that receive high volumes of applications and want to streamline screening without sacrificing quality. What problem is this workflow solving? Manually reviewing every resume is time-consuming, inconsistent, and often inefficient. This workflow automates the initial screening process by: Extracting resume data directly from incoming emails Analyzing resumes using GPT-4 to evaluate candidate fit Saving scores and notes in Google Sheets for easy filtering It helps teams qualify candidates faster while staying organized. What this workflow does Detects when a new email with a CV is received (Gmail) Filters out non-relevant messages using an AI classifier Extracts the resume text (PDF parsing) Uploads the original file to Google Drive Retrieves job offer details from a connected Google Sheet Uses GPT-4 to evaluate the candidate’s fit for the job Parses the AI output to extract the candidate's score Logs the results into a central Google Sheet Sends a confirmation email to the applicant Setup Install n8n self-hosted Add your OpenAI API Key in the AI nodes Enable the following APIs in your Google Cloud Console: Gmail API Google Drive API Google Sheets API Create OAuth credentials and connect them in n8n Configure your Gmail trigger to watch the inbox receiving CVs Create a Google Sheet with columns like: Candidate, Score, Job, Status, etc. How to customize this workflow to your needs Adjust the AI scoring prompt to match your company’s hiring criteria Add new columns to the Google Sheet for additional metadata Include Slack or email notifications for each qualified candidate Add multiple job profiles and route candidates accordingly Add a Telegram or WhatsApp step to notify HR in real time 📄 Documentation: Notion Guide --- Need help customizing? Contact me for consulting and support : Linkedin / Youtube
By Dr. FirasExtract and save invoice data from Google Drive to Sheets with Dumpling AI
Who is this for? This workflow is perfect for operations teams, accountants, e-commerce businesses, or finance managers who regularly process digital invoices and need to automate data extraction and record-keeping. --- What problem is this workflow solving? Manually reading invoice PDFs, extracting relevant data, and entering it into spreadsheets is time-consuming and error-prone. This workflow automates that process—watching a Google Drive folder, extracting structured invoice data using Dumpling AI, and saving the results into Google Sheets. --- What this workflow does Watches a specific Google Drive folder for new invoices. Downloads the uploaded invoice file. Converts the file into a Base64 format. Sends the file to Dumpling AI’s extract-document endpoint with a detailed parsing prompt. Parses Dumpling AI’s JSON response using a Code node. Splits the items array into individual rows using the Split Out node. Appends each invoice item to a preformatted Google Sheet along with the full header metadata (order number, PO, addresses, etc.). --- Setup Google Drive Setup Create or select a folder in Google Drive and place the folder ID in the trigger node. Make sure your n8n Google Drive credentials are authorized for access. Google Sheets Create a Google Sheet with the following headers: Order number, Document Date, Po_number, Sold to name, Sold to address, Ship to name, Ship to address, Model, Description, Quantity, Unity price, Total price Paste the Sheet ID and sheet name (Sheet1) into the Google Sheets node. Dumpling AI Sign up at Dumpling AI Go to your account settings and generate your API key. Paste this key into the HTTP header of the Dumpling AI request node. The endpoint used is: https://app.dumplingai.com/api/v1/extract-document Prompt (already included) This prompt extracts: order number, document date, PO number, shipping/billing details, and detailed line items (model, quantity, unit price, total). --- How to customize this workflow to your needs Adjust the Google Sheet fields to fit your invoice structure. Modify the Dumpling AI prompt if your invoices have additional or different data points. Add filtering logic if you want to handle different invoice types differently. Replace Google Sheets with Airtable or a database if preferred. Use a different trigger like an email attachment if invoices come via email. ---
By YangAutomate Instagram stories publishing from Google Sheets with Meta Graph API
Automated Instagram Stories from Google Sheets 🚀 What it Does This workflow automates posting Instagram Stories directly from a list of video URLs in a Google Sheet. Simply add a video link to the sheet, and this template will schedule and post it for you. It's designed to be a "set it and forget it" solution for your content strategy. Key Features: Fully Automated: Runs on a schedule to post new content without manual intervention. Simple Content Management: Manage your entire video queue from one Google Sheet. Smart & Safe: Automatically avoids posting duplicate content by tracking what has already been published. Randomized Posting: Shuffles the video list to ensure varied content is posted, not just the first one on the list. ----- 📋 Pre-Setup Requirements Before you start, you'll need a few things. This is the most important part of the setup\! Instagram Business Account: A personal account won't work. It must be a Business or Creator account. Facebook Page: Your Instagram Business Account must be connected to a Facebook Page. Meta Developer Account: This is required to create an "App" that gives n8n permission to post on your behalf. A Publicly Accessible Place to Host Videos: This is critical. The video URLs you use must be direct links to the video file. ✅ Good Sources: Shopify file storage, Amazon S3, a WordPress site with a valid SSL certificate (https://...). ❌ Unreliable Sources: Google Drive and Dropbox share links will not work because they are not direct links to the video file itself. ----- ⚙️ Step-by-Step Setup Guide Follow these three parts carefully. Once done, you won't have to touch the configuration again. Part 1: Meta (Facebook/Instagram) Configuration This section generates the keys and IDs you need to allow n8n to communicate with Instagram. Create a Meta App: Go to Meta for Developers and create a new app. Detailed Guide: Meta's Official Guide to Creating an App Configure App Permissions: In your new app's dashboard, add the "Instagram Graph API" product. Under "Permissions," you will need to grant instagrambasic, instagramcontentpublish, pagesshowlist, and pagesread_engagement. Find Your Instagram Business Account ID: You'll need this ID for the workflow. 3.1. Log in: to your Instagram account. 3.2. Click on your Profile: in the menu on the left. 3.3. Click: "Edit Profile" at the top. 3.4. Under the "Settings" heading, click "See more in Accounts Center". 3.5. Select: your intended Instagram profile. 3.6. In the URL, your Instagram Business Account ID will be displayed after /profiles in a numerical format. Example: https://accountscenter.instagram.com/profiles/[YOUR_ID]/?theme=dark Generate a Long-Lived Access Token: An access token is like a password for n8n to use. A standard one expires quickly, so you need a long-lived one. Official Guide: Meta's Guide to Generating a Long-Lived Token ----- Part 2: Google Sheet Preparation This is where you'll manage your video content. Create a Google Sheet: You can make a new one or use our template to get started quickly. Download Template: Instagram Videos Template.xlsx Set Up Columns: Your sheet must have these two columns with these exact names: source_url: This is where you will paste the direct URL to your video file. posted_story: Leave this column empty. The workflow will automatically fill it with true after a video is successfully posted. Get the Sheet ID: In your Google Sheet URL, copy the long string of letters and numbers from the middle: https://docs.google.com/spreadsheets/d/[THISISTHESHEETID]/edit ----- Part 3: n8n Workflow Configuration Now, let's connect everything inside your n8n workflow. Fill the ⚙️ Configuration Hub Node: IG\BUSINESS\ID: Paste the Instagram ID you found in Part 1. SHEET\DOC\ID: Paste the Google Sheet ID you found in Part 2. SHEET\TAB\NAME: Enter the exact name of the tab in your Google Sheet (e.g., "Instagram Videos"). Connect Your Credentials: Google Sheets: In the 📊 Fetch Videos from Sheet node, create a new credential and connect your Google Account. Facebook Graph API: In the 📤 Create Story Container node, create a new credential. Use the App ID, App Secret, and the Long-Lived Access Token you generated in Part 1. You will use this same credential for the other Facebook/Instagram nodes. Activate the Workflow: First, test it by clicking the "Execute Workflow" button on the 🚀 Manual Start node. Once you confirm it works, activate the workflow using the toggle at the top of the screen. The ⏰ Auto Schedule node is set to run daily by default, but you can change the time to whatever you like. ----- 🤔 Troubleshooting Error: "(\10) This endpoint requires the 'instagram\content\publish' permission": Your Meta App is missing the correct permissions. Go back to the app settings in the Meta Developer dashboard and add it. Error: "Unsupported post request" or Video Processing Fails: This is almost always an issue with the video URL. Ensure it's a direct link and not from a service like Google Drive. Paste the URL into your browser—it should immediately start playing the video, not take you to a preview page. Error: "Sheet not found": Double-check that your SHEETDOCID and SHEETTABNAME in the Config node are perfectly correct (it's case-sensitive\!). Workflow runs but doesn't post: Make sure you have rows in your Google Sheet where the posted_story column is empty. If all are marked true, it has nothing new to post. @iMan https://imanetworks.ch/
By iManCreate universal OpenAI-compatible API endpoints for multiple AI workflows
N8n OpenAI-Compatible API Endpoints Transform your n8n workflows into OpenAI-compatible API endpoints, allowing you to access multiple workflows as selectable AI models through a single integration. What This Does This workflow creates two API endpoints that mimic the OpenAI API structure: /models - Lists all n8n workflows tagged with aimodel (or any other tag of your choice) /chat/completions - Executes chat completions with your selected workflows, supporting both text and stream responses Benefits Access Multiple Workflows: Connect to all your n8n agents through one API endpoint instead of creating separate pipelines for each workflow. Universal Platform Support: Works with any application that supports OpenAI-compatible APIs, including OpenWebUI, Microsoft Teams, Zoho Cliq, and Slack. Simple Workflow Management: Add new workflows by tagging them with aimodel . No code changes needed. Streaming Support: Handles both standard responses and streaming for real-time agent interactions . How to Use Download the workflow JSON file from this repository Import it into your n8n instance Tag your workflows with aimodel to make them accessible through the API Create a new OpenAI credential in n8n and change the Base URL to point to your n8n webhook endpoints . Learn more about OpenAI Credentials Point your chat applications to your n8n webhook URL as if it were an OpenAI API endpoint Requirements n8n instance (self-hosted or cloud) Workflows you want to expose as AI models Any OpenAI-compatible chat application Documentation For detailed setup instructions and implementation guide, visit https://medium.com/@deleodufuye/how-to-create-openai-compatible-api-endpoints-for-multiple-n8n-workflows-803987f15e24. Inspiration This approach was inspired by Jimleuk’s workflow on n8n Templates.
By Dele OdufuyeAi-powered multi-stage web search and research suite
Description: The closest definition to this workflow is a cheaper Modular Version of Perplexity online API empowered by LLM models that outperform the Perplexity Lama Model. This flow provides a seamless way to conduct detailed web searches, extract data, and generate insightful reports based on real-time information. It provides a webhook-based flow that gets any search question and reports back the results via a multi-level web search analysis and domain-specific emulation of an agent to deliver an unbiased expert report. This Flow is Ideal for market research, competitive analysis, or any scenario where actionable, structured insights are needed. A more complete, step-by-step guide is provided within the workflow, ensuring you have all the details to set up and customize each component. This tool is designed to function similarly to Perplexity by performing semantic search, reranking, and follow-up queries. However, it offers a unique advantage—complete customization at every stage. Modify any part of the process, from query refinement to data extraction, allowing you to tailor the workflow to your specific needs. Key Features: AI-Powered Query Generation and Expert Emulation: Uses Google Gemini to transform user queries into expert-level searches, providing accurate and context-aware results. Dual-Stage Semantic Search with Intelligent Reranking: Performs an initial search, reranks results, and refines the query based on findings to conduct a second, more targeted search. Top-Result Data Extraction: Extracts content from the top three results of each search, capturing relevant insights from six total sources. Customizable API Options: Pre-configured with free APIs (Google Gemini, DuckDuckGo, and Article Extraction APIs) but easily adaptable to other APIs if preferred. Automated, Insightful Reporting: Synthesizes data into a cohesive report, providing expert-level insights tailored to the user’s query. Instructions for API Setup: This workflow is designed to work with free-tier APIs, offering a cost-effective way to retrieve high-quality data. Here’s how to set up each API, with detailed instructions included in the workflow: Google Gemini API (for Query Generation and Analysis): Visit Google AI Studio and log in. Create a free API key under "Get API Key" → "Create API Key in New Project." The free tier includes up to 15 requests per minute, 1 million tokens per minute, and up to 1,500 requests per day. Brave Search API (for Web Search): To attain the free web search API tier from Brave, follow these steps: Visit api.search.brave.com Create an account Subscribe to the free plan (no charge) Navigate to the API Keys section Generate an API key. For the subscription type, choose "Free". Article Extraction API (for Content Extraction): Register on RapidAPI.com and subscribe to the Article Extraction API. The free plan allows up to 300 extractions per month. Enter your API key in each of the 6 extraction nodes for content retrieval. Alternative: In the workflow, we have provided the full instructions on how to replace the current flow with alternative API Keys and provided suggestions such as Scraper Tech API. Additional Tip: To use other APIs, you can generate a cURL request in RapidAPI’s playground, and then paste it into the HTTP Request node in n8n. This approach streamlines integration by automatically filling in headers and request details. Why Choose This Workflow? The Intelligent Online Web Researcher offers an all-in-one solution for complex, customizable online research. Unlike other tools that provide automated semantic search, this workflow is fully modifiable, allowing you to tailor each step, from the initial query and reranking to data extraction and reporting. With built-in instructions and a structure that’s easy to adapt, it’s ideal for commercial applications that require real-time, high-quality insights. Tags: Online Research, Web Search, Market Analysis, Web Search Automation, Data Extraction, Semantic Search, API Integration, Competitive Intelligence, Business Intelligence, Real-Time Reporting, Web Scrape, Data Crawler, Perplexity
By Mind-FrontConvert YouTube videos to MP3 with RapidAPI, Google Drive storage & sheets logging
Automated YouTube to MP3 Conversion and Storage with Google Sheets This automated workflow allows seamless conversion of YouTube videos to MP3, using the YouTube to MP3 Downloader API. The converted MP3 files are uploaded to Google Drive, and all relevant conversion data like download links and file sizes are logged in Google Sheets. Ideal for content creators and download enthusiasts, it enhances efficiency and accuracy in handling YouTube-to-MP3 conversions. Node-by-Node Explanation: On form submission Triggers the workflow when a user submits a YouTube video URL for conversion. HTTP Request Sends a POST request to the YouTube to MP3 Downloader API to initiate the conversion of the YouTube URL to MP3 format. Google Drive Uploads the converted MP3 file to Google Drive for cloud storage. Google Sheets (Initial Log) Logs initial details such as URL and status in Google Sheets before the conversion is complete. Google Sheets (Final Log) After successful conversion, logs the download link, file size, and other relevant data in Google Sheets. If Condition Filters the process to only proceed if the conversion status is "done." Wait Pauses the workflow until the conversion process is completed. Code Converts file size from bytes to megabytes (MB) for easier reference in Google Sheets. Download MP3 Triggers the MP3 file download once the conversion is finished. Problem Solved: Converting YouTube videos to MP3 manually is time-consuming and tedious. The process involves multiple steps, such as downloading the video, extracting audio, and organizing the files, which can be a hassle, especially if you need to do it frequently. Additionally, managing and tracking these files and their statuses can be chaotic, leading to disorganization. This workflow automates the entire process: Conversion automation: No need for third-party apps or websites to handle YouTube-to-MP3 conversion. Efficient tracking: All conversion details (file size, download link, etc.) are logged in Google Sheets, keeping everything organized. Cloud storage: Directly stores converted MP3s in Google Drive, ensuring files are secure, easy to access, and well-managed. By leveraging the YouTube to MP3 Downloader API, this workflow removes all the manual steps, allowing you to save time and effort while keeping everything organized. Benefits of the Flow: Time-Saving Automation: Automatically converts YouTube videos to MP3 using the YouTube to MP3 Downloader API, eliminating the need for manual conversion. Data Logging: Automatically logs essential conversion details (like file size, download link, etc.) in Google Sheets for easy reference. Cloud Storage Integration: Converted MP3 files are directly uploaded to Google Drive for secure, cloud-based storage. No Hassle: Eliminates the need for third-party tools or manual tracking of conversions. Use Cases: Content Creators If you’re a YouTuber or a podcast creator, you might need to convert and store multiple audio files for your content. This workflow can help by automatically converting YouTube videos or podcasts to MP3 and saving them to Google Drive, all while keeping a detailed log in Google Sheets. Educators and Trainers Teachers or trainers often use YouTube videos for educational purposes and might want to extract the audio (e.g., for podcasts or lectures). With this automation, they can easily convert YouTube content into MP3 format for use in offline teaching or sharing with students. Social Media Managers Social media managers working with audio content can use this workflow to quickly convert YouTube videos to MP3 files and upload them to Google Drive for easy sharing with their team or posting on social platforms. Music Enthusiasts Music lovers who want to save YouTube music videos or tracks into MP3 format for personal use or offline listening can benefit from this automated conversion process. The workflow makes it fast and easy to convert, store, and track MP3 files. Content Archivists If you’re working on archiving online media or curating content libraries, this system allows for quick and efficient conversion, storing, and cataloging of YouTube videos in MP3 format with all relevant metadata stored in Google Sheets for easy management. --- 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!
By Evoort Solutions