Workflow Templates

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.

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.

This n8n template demonstrates how to use AI to compose or "stitch" separate images together to generate a new image which retains the source assets and consistent style. Use cases are many: Try producing storyboard scenes with consistent characters, marketing material with existing product assets or trying on different articles on fashion! 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 We'll import our required assets via our Cloud storage using the HTTP node. The images are then converted to base64 strings and aggregated so we can use it for our AI model. Gemini's image generation model is used which takes all 3 images and a prompt that we define. Our prompt instructs the model on how to compose the final image. Gemini generates a new image but uses the original 3 assets to do so. The consistency to the source images is very high and shows little signs of hallucinations! Gemini's output is base64 so we use a "Convert to file" node to convert the data to binary. The final binary image is then uploaded to Google Drive to complete the demonstration. How to use The manual trigger node is used as an example but feel free to replace this with other triggers such as webhook or even a form. Technically, you should be able to compose even more images but of course, the generation will take longer and cost more. Requirements Gemini account for LLM and Image generation Google drive for upload Customising this workflow AI Image editing can be used for many use-cases. Try a popular use-case such as virtual try-on for fashion or applying branding on editing image assets.

🤖 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.

How it Works This workflow reads sheet details from a source Google Spreadsheet, creates a new spreadsheet, replicates the sheet structure, enriches the content by reading data, and writes it into the corresponding sheets in the new spreadsheet. The process is looped for every sheet, providing an automated way to duplicate and transform structured data. 🎯 Use Case Automate duplication and data enrichment for multi-sheet Google Spreadsheets Replicate templates across new documents with consistent formatting Data team workflows requiring repetitive structured Google Sheets setup Setup Instructions 1. Required Google Sheets You must have a source spreadsheet with multiple sheets. The destination spreadsheet will be created automatically. 2. API Credentials Google Sheets OAuth2** – connect to both read and write spreadsheets. HTTP Request Auth** – if external API headers are needed. 3. Configure Fields in Write Sheet Ensure you define appropriate columns and mapping for the destination sheet. 🔁 Workflow Logic Manual Trigger: Starts the flow on user demand. Create New Spreadsheet: Generates a blank spreadsheet. HTTP Request: Retrieves all sheet names from the source spreadsheet. JavaScript Code: Extracts titles and metadata from the HTTP response. Loop Over Sheets: Iterates through each sheet retrieved. Delete Default Sheet: Removes the placeholder 'Sheet1'. Create Sheets: Replicates each original sheet in the new document. Read Spreadsheet1: Pulls data from the matching original sheet. Write Sheet: Appends the data to the newly created sheets. 🧩 Node Descriptions | Node Name | Description | |-----------|-------------| | Manual Trigger | Starts the workflow manually by user test. | | Create New Spreadsheet | Creates a new Google Spreadsheet for output. | | HTTP Request | Fetches metadata from the source spreadsheet including sheet names. | | Code | Processes sheet metadata into a list for iteration. | | Loop Over Items | Loops over each sheet to replicate and populate. | | Google Sheets2 | Deletes the default 'Sheet1' from the new spreadsheet. | | Create Sheets | Creates a new sheet matching each source sheet. | | Read Spreadsheet1 | Reads data from the source sheet. | | Write sheet | Writes the data into the corresponding new sheet. | 🛠️ Customization Tips Adjust the Google Sheet title to be dynamic or user-input driven Add filtering logic before writing data Append custom audit columns like 'Timestamp' or 'Processed By' Enable logging or Slack alerts after each sheet is created 📎 Required Files | File Name | Purpose | |-----------|---------| | My_workflow_4.json | Main workflow JSON file for sheet duplication and enrichment | 🧪 Testing Tips Test with a spreadsheet containing 2–3 simple sheets Validate whether all sheets are duplicated Check if columns and data structure remain intact Watch for authentication issues in Google Sheets nodes 🏷 Suggested Tags & Categories #GoogleSheets #Automation #DataEnrichment #Workflow #Spreadsheet

Why use this You need to delete (many) posts on a WordPress website and also delete the featured image associated with each post. Hours of rote work cut into a fraction with this automation. How it works set your wordpress URL in the manual trigger node set your WP post search parameters (WP API returns 10 posts by default; you could also set up pagination for scaling this automation beyond 10 posts per execution) decide (and build) your filter/approval process What you can expect this automation is set up to run the 10 oldest pending posts, with oldest first if you remove the 'Filter' node from the workflow, after each run, another 10 posts will be returned from WP Notes on Filter/Approval This is arbitrary and depends on your own use case. Maybe you have an editor who needs to approve the post deletion. You might want to get approval by email, slack msg or ticketing system. Or maybe you just want to monitor the process and spare specific posts from deletion. I used the Filter node to only grab the first item (itemIndex < 1) which in this case was the oldest pending post. This could also be expanded to two separate workflows: One triggered when a pending post is created that sends an approval request A second triggered by the approval/rejection that either publishes or deletes the post, depending on the approval result This would require another HTTP request, similar to the DELETE post request, that instead publishes the post.

🔁 What This Workflow Does This automation fetches daily AI-related articles from trusted RSS feeds, summarizes them using OpenAI (GPT), and generates a ready-to-post LinkedIn update in your writing style. It then emails the post to you every morning for review and publishing. High-Level Steps: Triggers every morning via Cron. Fetches latest AI news from multiple RSS sources. Filters recent articles (last 24 hrs). Summarizes each article using OpenAI (ChatGPT). Generates a LinkedIn-style post using your tone. Sends the post to your Gmail for review. ⚙️ Setup Steps Estimated setup time: 15–30 minutes You’ll need: OpenAI API key Gmail account connected in n8n RSS feed URLs (defaults are provided) Add your email in the Gmail node to receive daily posts. Add your tone/style prompt in the ChatGPT nodes (instructions inside workflow).

Reddit Poster to Discord This workflow checks Reddit every 15 minutes for new posts and sends selected posts to a Discord channel via webhook. Flow Overview: Schedule Trigger Runs every 15 minutes. Fetch Latest Posts Retrieves up to 3 new posts from any subreddit. Filter Posts Skips moderator or announcement posts based on author ID. Fetch Full Post Data Gets full details for the remaining post. Extract Image URL Parses the post to extract a direct image link. Send to Discord Sends the post title, image, and link to a Discord webhook. Setup Notes: Create a Reddit app and connect credentials in n8n. Add your subreddit name to both Reddit nodes. Connect a Discord webhook for posting.

LinkedIn Profile Enrichment Automation Who is this for? This template is perfect for sales teams, recruiters, marketing professionals, and business development specialists who need to gather comprehensive LinkedIn profile data at scale. Ideal for lead generation teams building prospect databases, recruiters sourcing candidate information, sales professionals researching prospects, and marketing teams creating targeted outreach campaigns. What problem does this workflow solve? Manually collecting detailed information from LinkedIn profiles is incredibly time-consuming and prone to inconsistency. Visiting each profile individually to extract names, job titles, experience, education, skills, and contact details can take hours for even small prospect lists. This automation eliminates the tedious manual data entry while ensuring consistent, comprehensive profile enrichment. What this workflow does This workflow automatically enriches a list of LinkedIn profile URLs by extracting comprehensive professional data including: Personal details** (first name, last name, headline, location) Professional status** (hiring status, open to work indicators) Network metrics** (connections, followers count) Work experience** (up to 5 most recent positions with company details, dates, and roles) Education background** (up to 3 educational institutions with degrees and dates) Skills and languages** (complete skill sets and language proficiencies) Professional summary** (profile description and bio) The enriched data is automatically organized and updated in your Google Sheets database with structured formatting for easy analysis and outreach. Setup Create a Ghost Genius API account and obtain your API key for cookieless LinkedIn profile scraping Configure HTTP Request credentials with Header Auth using your Ghost Genius API key Set up your Google Sheets database using the provided template with columns: URL, Firstname, Lastname, Tagline, Location Connections, Followers, Hiring?, Open to work? Summary, Languages, Skills Experience 1-5, Education 1-3 Configure Google Sheets OAuth2 credentials following n8n's authentication setup guide Add LinkedIn profile URLs to the first column of your Google Sheet to begin enrichment Test the workflow with a small batch before processing larger lists How to customize this workflow Adjust batch processing settings** to handle larger volumes by modifying the batch size and interval timing Add data validation rules** to filter out incomplete or invalid profiles before processing Integrate with CRM systems** like HubSpot or Salesforce to automatically sync enriched data Set up automated scheduling** to regularly re-enrich profiles and capture profile updates Add email notifications** to alert when enrichment batches are completed or encounter errors Customize data mapping** to include additional profile fields or reorganize the output structure Add duplicate detection** to prevent re-processing the same profiles multiple times

This workflow illustrates how to use Perplexity AI in your n8n workflow. Perplexity is a free AI-powered answer engine that provides accurate, trusted, and real-time answers to any question. Credentials Setup 1/ Go to the perplexity dashboard, purchase some credits and create an API Key https://www.perplexity.ai/settings/api 2/ In the perplexity Request node, use Generic Credentials, Header Auth. For the name, use the value "Authorization" And for the value "Bearer pplx-e4...59ea" (Your Perplexity Api Key) AI Model Sonar Pro is the current top model used by perplexity. If you want to use a different one, check this page: https://docs.perplexity.ai/guides/model-cards

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 backup Squarespace website header and footer injections into Github How It Works The Squarespace injections are fetched when an URL is placed Setup Instructions First, edit HTTP Request's URL to put your Squarespace site URL there Next, to configure the Github, update the Globals node with the following values: repo.owner – Your GitHub username repo.name – The name of your GitHub repository storing the workflows repo.path – The folder path within the repository where workflows are stored For example, if your GitHub username is john-doe, your repository is named n8n-backups, and injections are stored in a squarespace-backup/ folder, you would set: repo.owner → john-doe repo.name → n8n-backups repo.path → squarespace-backup/ Each site's injections will be added into seperate folder Required Credentials GitHub API – Access to your repository Who Is This For? This template is made for Squarespace users who want to backup their header and footer injections at interval to or on demand Check out my other templates: 👉 My n8n Templates