Workflow Templates

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!

This is a workflow for a Telegram-echo bot. This bot is useful for debugging and learning purposes of the Telegram platform. Add your Telegram bot credentials for both nodes. Activate the workflow. Send data to the bot (i.e. a message, a forwarded message, sticker, emoji, voice, file, an image...). Second node will fetch the incoming JSON object, format it and send back.

Who this is for Every who's interested in seeing how merging items works in n8n What this workflow does This workflow generates two sets of sample data: one with names and corresponding languages, and another with greetings and corresponding languages using the Code node. It then merges these two datasets using the Merge node based on the common “language” field, combining all entries that share the same language.

Use case Error workflows are an important part of running workflows in production. Get alerts for errors directly in your inbox. How to setup Add your Gmail creds Add your target email Add this error workflow to other workflows docs here

Task: Merge two datasets into one based on matching rules Why: A powerful capability of n8n is to easily branch out the workflow in order to process different datasets. Even more powerful is the ability to join them back together with SQL-like joining logic. Main use cases: Appending data sets Keep only new items Keep only existing items

Receives data from an incoming HTTP Request Reads file from internet Writes data on image Returns the data The URL to call will look like this: http://localhost:5678/webhook-test/webhook/test?name=Jim Once called it will return an image like this:

In this video we will create a simple n8n Nodemation workflow to receive date via webhook, alter the data and send it to a webserver. We will be using webhook, function and http request node together. > Youtube Video

The “Write Binary File” expects binary data. The JSON data is, however, JSON ;) There should really be a node that allows moving data around between both of them. For now, it can be done with a Function-Node. At least till a proper one is in place. The first node is example data, wich you can customize or replace. The second node named “Make Binary” is the important one with the custom code which makes the data binary and writes it to the correct location.

Shows how it is possible to use the data of a command line tool which returns JSON. Example shows how: to bring data in flow to use data directly in a node Note that the 'execute command' node is not available on n8n Cloud.

A workflow to receive weather updates on demand using a Telegram bot. The workflow is triggered using the Telegram Trigger node by issuing a message to the Telegram bot. The OpenWeatherMap node queries the weather API and returns the result using the Telegram node.

Check email and create new Nextcloud Deck card from incoming email. Import workflow. Change Nextcloud URL with target board id and stack id. Configure IMAP credential and Nextcloud userid / password. The workflow starts with new IMAP email. This workflow creates new Nextcloud Deck Card with email subject and email body. (Note that all the emails will be marked as read.)

This workflow shows a no code approach to creating a HTML table based on Google Sheets data. To run the workflow: Make sure you have a Google Sheet with a header row and some data in it. Grab your sheet ID: Add it to the Google Sheets node: Activate the workflow or execute it manually Visit the URL provided by the webhook node in your browser (production URL if the workflow is active, test URL if the workflow is executed manually)