Workflow Templates

This n8n template leverages n8n's multi-form feature to build a 2 part job application submission journey which aims to eliminate the need for applicants to re-enter data found on their CVs/Resumes. How it works The application submission process starts with an n8n form trigger to accept CV files in the form of PDFs. The PDF is validated using the text classifier node to determine if it is a valid CV else the applicant is asked to reupload. A basic LLM node is used to extract relevant information from the CV as data capture. A copy of the original job post is included to ensure relevancy. Applicant's data is then sent to an ATS for processing. For our demo, we used airtable because we could attach PDFs to rows. Finally, a second form trigger is used for the actual application form. However, it is prefilled to save the applicant's time and allow them to amend any of the generated application fields. How to use Ensure to change the redirect URL in the form ending node to use the host domain of your n8n instance. Requirements OpenAI for LLM Airtable to capture applicant data Customising the workflow Application form is pretty basic for this demonstration but could be extended to ask more in-depth questions. If it fits the job, why not ask applicants to upload portfolio works and have AI describe/caption them.

Who's it for Content creators, social media managers, and marketing teams who want to automatically extract the most engaging clips from long-form YouTube videos and identify content with high viral potential. What it does This workflow analyzes any YouTube video using Vizard AI's clipping technology and automatically generates up to 8 short clips with viral score ratings. It then filters for the highest-scoring clips (9/10 or above) and posts them to a designated Slack channel for team review and distribution. How it works Video submission: Enter a YouTube URL through a user-friendly form AI analysis: Submits the video to Vizard AI for automated clipping and viral score analysis Smart polling: Waits for processing completion and retrieves results Quality filtering: Only surfaces clips with viral scores of 9/10 or higher Team notification: Posts results to Slack with clip titles, scores, and download links Requirements Vizard AI API credentials (sign up at vizard.ai) Slack workspace with OAuth app configured How to set up Configure Vizard AI credentials: Add your Vizard AI API key to the HTTP Request nodes Set up Slack integration: Configure the Slack OAuth2 credentials and select your target channel Customize filtering: Adjust the viral score threshold in the filter node (currently set to 9/10) Test the workflow: Submit a test YouTube URL to ensure everything works properly How to customize the workflow Adjust clip quantity**: Modify the maxClipNumber parameter (currently 8) in the initial API request Change viral score threshold**: Update the filter condition to match your quality standards Extend with automation**: Connect to social media posting tools or caption generation workflows for full automation Add scheduling**: Integrate with webhook triggers, scheduled triggers, or RSS feeds for batch processing videos

Who is this for? This workflow is ideal for social media managers, content creators, marketers, and small businesses who want to automate Instagram Carousel posts using Google Sheets and Google Drive. It is also suitable for anyone looking to streamline repetitive Instagram publishing tasks with n8n, Cloudinary, and the Instagram Graph API. What problem is this workflow solving? / Use case Managing and publishing Instagram Carousel posts manually can be time-consuming, especially when handling multiple accounts or campaigns. This workflow solves that by automatically fetching scheduled posts from Google Sheets, uploading images from Google Drive to Cloudinary, and publishing them to Instagram, saving time and reducing the risk of errors. What this workflow does This n8n workflow checks a Google Sheet every 5 minutes for new Carousel posts marked as "ToDo." When found, it uploads images from a specified Google Drive folder to Cloudinary, prepares the media on Instagram using the Graph API, and publishes the Carousel post with the given caption. Setup Prepare a Google Sheet to track posts and image folder URLs. Example : https://docs.google.com/spreadsheets/d/1WEUHeQXFMYsWVAW3DykWwpANxxD3DxH-S6c0i06dW1g/edit?usp=sharing Upload post images to a dedicated Google Drive folder. Set up a Cloudinary account and gather API credentials. Obtain Instagram access_token and ig_business_id for API publishing. Configure the n8n workflow with required credentials and your custom intervals. How to customize this workflow to your needs Adjust the schedule trigger interval to fit your publishing frequency. Expand the Google Sheet with additional metadata as required. Modify the filter logic to support different content types or statuses. Add extra automation steps, such as sending notifications after publishing.

How it works: This project creates a personal AI assistant named Angie that operates through Telegram. Angie can summarize daily emails, look up calendar entries, remind users of upcoming tasks, and retrieve contact information. The assistant can interact with users via both voice and text inputs. Step-by-step: Telegram Trigger: The workflow starts with a Telegram trigger that listens for incoming message events. The system determines if the incoming message is voice or text. If voice, the voice file is retrieved and transcribed to text using OpenAI's API Speech to Text AI Assistant: The telegram request is passed to the AI assistant (Angie). Tools Integration: The AI assistant is equipped with several tools: Get Email: Uses Gmail API to fetch recent emails, filtering by date. Get Calendar: Retrieves calendar entries for specified dates. Get Tasks: Connects to a Baserow (open-source Airtable alternative) database to fetch to-do list items. Get Contacts: Also uses Baserow to retrieve contact information. Response Generation: The AI formulates a response based on the gathered information and sends back to the user on Telegram

This n8n template can monitor and detect changes to a webpage's contents and notify you only when a change occurs. Great to keep an eye on and track publicly available documents such as company TOS, government policy or competitor pages. How it works A scheduled trigger is used so we can run everyday to automate this process. A website page is then fetched with the HTTP request node and the contents we want to track are extracted using the HTML node. To detect changes, we generate a hash on the contents with the cryptography node and compare it with previously seen hashes using the "remove duplicates" node. If the hash was seen before, the workflow stops here. Finally, when new changes are detected a copy of the contents are uploaded to Google Drive and a logged into a Google sheet. A notification email can also be sent if action is required. How to use Update the URL you want to track in the node named "variables" and ensure the HTML node has updated selectors to get the content you want. Ensure the timezone is set correctly when using the Scheduled Trigger node. Requirements Google Sheets, Drive and Gmail for storing and notifying about changes. Webpages should ideally be publicly accessible. If not, you may need to switch the HTTP request node with a webscraping service. Customising this workflow Not using Google? Easier swap to other Service providers such as Miscrosoft365. Need more URLs? Try modifing the variables node to accept multiple URLs though the HTML node will need to be customised.

Who is this for? This workflow is designed for professionals and teams who need to monitor multiple RSS feeds, filter the latest content, and distribute actionable updates as a Trello comment. Ideal for content managers, marketers, and team leads managing news or content pipelines. What problem is this workflow solving? Manually monitoring RSS feeds and keeping track of the latest content can be time-consuming. This workflow automates the aggregation, filtering, and distribution of news, ensuring that only relevant and timely updates are shared with your team or audience. What this workflow does: Aggregates RSS Feeds: Pulls data from up to three RSS feeds simultaneously. Filters Content: Filters articles based on their publication date (default: last 7 days). Organizes and Sorts: Sorts filtered articles by date for clarity. Formats Updates: Transforms news items into Markdown format for better readability. Publishes and Notifies: Posts comments to Trello cards and sends an email to a moderator to check the comment. Setup: Connect your RSS feeds by configuring the RSS Read nodes. Link your Trello and Gmail accounts for seamless integration. Adjust the schedule trigger to set how often the workflow should run (e.g., daily, weekly). Test the workflow to ensure all connections and configurations are correct. How to customize this workflow to your needs: Change the Number of RSS Feeds: Add or remove RSS Read nodes and update the merge configuration accordingly. Adjust the Date Filter: Modify the date logic in the “Filter by date” node to include more or fewer days. Limit the Number of Articles: Adjust the limit in the “Limit news to x” node. Custom Formatting: Update the Transform node to format the news items differently. Alternative Notifications: Replace Trello and Gmail with other integrations, such as Slack or Microsoft Teams. This workflow ensures your team stays informed with minimal effort and delivers content updates in an organized and professional manner.

This workflow demonstrates a simple way to run evals on a set of test cases stored in a Google Sheet. The example we are using comes from an info extraction task dataset, where we tested 6 different LLMs on 18 different test cases. This workflow extends the functionality of my simple eval for benchmarking legal tasks here. Rather than running executions sequentially (waiting for each one to respond before making another request), we use parallel processing to fire 2 requests every second. You can see our sample data in this spreadsheet here to get started. Once you have this working for our dataset, you can plug in your own test cases matching different LLMs to see how it works with your own data. How it works Pull our test cases from Google Sheets. For each case, fire off an HTTP request to a webhook. That webhook grabs the relevant source file from Google Drive and converts it to text. The text gets sent to an LLM via Open Router (so we can easily swap out models). Results come back and are logged in Google Sheets. Set up steps: Add your credentials for Google Sheets, Google Drive, and OpenRouter. Make a copy of the original data spreadsheet so that you can edit it yourself. You will need to plug your version in the Update Results node to see the spreadsheet update on each run of the loop.

🤖 Telegram Bot Webhook Configuration Tool This workflow creates a simple web form that helps you configure Telegram bot webhooks quickly. Instead of manually constructing the Telegram API URL, this tool does it for you automatically. How It Works The workflow consists of three main steps: Form Input: A web form collects your bot token and webhook URL URL Construction: Automatically builds the correct Telegram API URL Redirect: Takes you directly to the Telegram API to complete the configuration What You Need Bot Token**: Get this from @BotFather on Telegram (format: 123456789:ABCdefGHIjklMNOpqrsTUVwxyz) Webhook URL**: Your n8n webhook endpoint (must be HTTPS) Setup Instructions Import this workflow into your n8n instance Activate the workflow Access the generated form URL Fill in your bot details and submit Form Fields | Field | Description | Example | |-------|-------------|---------| | Bot API Token | Token from BotFather | 123456789:ABCdefGHIjklMNOpqrsTUVwxyz | | Webhook URL | Your n8n webhook endpoint | https://your-instance.app.n8n.cloud/webhook/telegram | What Happens You enter your bot token and webhook URL in the form The workflow constructs this URL: https://api.telegram.org/bot{TOKEN}/setWebhook?url={WEBHOOK_URL} You're redirected to that URL where Telegram configures your webhook Telegram shows you a success or error message Benefits No Manual URL Building**: Eliminates copy-paste errors Quick Setup**: Configure webhooks in seconds Privacy Focused**: No data is stored anywhere Team Friendly**: Share the form URL with team members Common Webhook URLs n8n Cloud: https://your-instance.app.n8n.cloud/webhook/telegram-bot Self-hosted: https://your-domain.com/webhook/telegram-bot Requirements n8n with form trigger support Valid Telegram bot token Publicly accessible webhook URL (HTTPS required) Troubleshooting Invalid Token Error: Make sure you copied the complete token from BotFather Webhook Error: Ensure your URL is publicly accessible and uses HTTPS SSL Error: Verify your webhook URL has a valid SSL certificate This tool simply automates the manual process of visiting the Telegram API URL to configure your bot's webhook. Perfect for developers who frequently set up or change Telegram bot configurations.

Who’s it for: Sales and business development professionals who want to monitor company news, hiring trends, and business signals for their leads. How it works / What it does: Add a company to the form, and the workflow will automatically search for the latest news, recent hires, company stage, and LinkedIn activity. The results are sent straight to your Google Sheet, helping you stay up to date with your leads and prospects. How to set up: Register for Extruct at www.extruct.ai/. Open the Extruct table template, copy the table ID from the browser’s address bar. Make a copy of the Google Sheets template to your Drive. Enter the table ID into the variables node in your n8n flow. Set up Bearer authentication in all HTTP Request nodes using your Extruct API token. In the Google Sheets node, paste your template link and connect your Google account. Run the flow once to load the mapping fields, then match each output to the correct column. Activate the flow and start adding companies through the form. Requirements: Extruct account and API token Extruct table template Google account with Google Sheets How to customize the workflow: To track more business development signals, add new columns in both the Extruct table and your Google Sheet, then map them in the Google Sheets node.

This n8n template demonstrates how to build a simple but effective vintage image restoration service using an AI model with image editing capabilities. With Gemini now capable of multimodal output, it's a great time to explore this capability for image or graphics automation. Let's see how well it does for a task such as image restoration. Good to know At time of writing, each image generated will cost $0.039 USD. See Gemini Pricing for updated info. The model used in this workflow is geo-restricted! If it says model not found, it may not be available in your country or region. How it works Images are imported into our workflow via the HTTP node and converted to base64 strings using the Extract from file node. The image data is then pipelined to Gemini's Image Generation model. A prompt is provided to instruct Gemini to "restore" the image to near new condition - of course, feel free to experiment with this prompt to improve the results! Gemini's responds with the image as a base64 string and hence, a convert to file node is used to transform the data to binary. With the restored image as a binary, we can then use this with our Google Drive node to upload it to our desired folder. How to use This demonstration uses 3 random images sourced from the internet but any typical image file will work. Use a webhook node to allow integration from other applications. Use a telegram trigger for instant mobile service! Requirements Google Gemini for LLM/Image generation Google Drive for Upload Storage Customising this workflow AI image editing can be applied to many use-cases not just image restoration. Try using it to add watermarks, branding or modify an existing image for marketing purposes.

Who is this for? This workflow is ideal for SEO specialists, web designers, and digital marketers who want to quickly draft effective landing page layouts by referencing established competitors. It suits users who need a fast, structured starting point for web design while ensuring competitive relevance. What problem is this workflow solving? / Use case Designing a high-converting landing page from scratch can be time-consuming. This workflow automates the process of analyzing a competitor’s website, identifying essential sections, and producing a tailored layout—helping users save time and improve their website’s effectiveness. What this workflow does The workflow fetches and analyzes your chosen competitor’s landing page, using web scraping and structure-detection nodes in n8n. It identifies primary sections like hero banners, service highlights, testimonials, and contact forms, and then generates a simplified, customizable layout suitable for wireframing or initial design. Setup Prepare your unique services and target audience profile for customization later. Gather the competitor’s landing page URL you wish to analyze. Run the workflow, inputting your competitor’s URL when prompted. How to customize this workflow to your needs After generating the initial layout, adapt section names and content blocks to highlight your services and brand messaging. Add or remove sections based on your objectives and audience insights. Integrate additional nodes for richer analysis, such as keyword extraction or design pattern detection, to tailor the output further.

Who’s it for: Sales teams, marketers, and analysts who need to quickly access all the social media and public profile links for any company. How it works / What it does: When you enter a company into the form, this workflow automatically searches for and collects all available links to the company’s social media accounts, review sites, and public profiles from sources like Crunchbase and Zoominfo. All discovered URLs are added directly to your Google Sheet. How to set up: Create an Extruct account at www.extruct.ai/. Open the Extruct table template, find the table ID in your browser’s address bar, and copy it. Make a copy of the provided Google Sheets template to your own Google Drive. In n8n, paste the table ID into the variables node of your flow. Set up Bearer authentication in every HTTP Request node using your Extruct API token (found on the API page in Extruct). In the Google Sheets node, paste the link to your copied template and connect your Google account. Run the flow once to load the fields, then map the output fields to the correct columns in your sheet. Activate the flow and start adding companies via the form. Requirements: Extruct account and API token Extruct table template Google account with Google Sheets How to customize the workflow: You can add your own columns to the Extruct table and your Google Sheet. Just add the new column in both places and map it in the Google Sheets node in n8n.