Workflow Templates

Automating Company ICP Scoring via LinkedIn Use Case This automation scores companies based on their LinkedIn profile using custom Ideal Customer Profile (ICP) criteria. It’s ideal for qualifying B2B leads and prioritizing outreach based on fit. What This Automation Does Inputs required: Company LinkedIn URL**: Public LinkedIn profile of the company. Airtop Profile (connected to LinkedIn)**: Airtop Profile authenticated to access and extract profile data. The automation analyzes the LinkedIn page and calculates a score based on: Scoring Criteria | Category | Classification | Points | |--------------------|---------------------------|------------| | AI Focus | Low | 5 | | | Medium | 10 | | | High | 25 | | Technical Level | Basic | 5 | | | Intermediate | 15 | | | Advanced | 25 | | | Expert | 35 | | Employee Count | 0–9 | 5 | | | 10–150 | 25 | | | 150+ | 30 | | Agency Status | Not Automation Agency | 0 | | | Automation Agency | 20 | | Geography | Outside US/Europe | 0 | | | US/Europe Based | 10 | The result includes: Total ICP score Detailed justifications for each score component How It Works Opens the company’s LinkedIn page using Airtop. Analyzes metadata including employee count, headquarters, services, and keywords. Applies the scoring rubric and returns structured JSON with scores and reasons. Optionally flattens the result for storage or CRM integration. Setup Requirements Airtop API Key LinkedIn-authenticated Airtop Profile Next Steps Combine with Lead Lists**: Score companies from outreach lists. Push to CRM**: Add scores to HubSpot or Salesforce records. Adjust Scoring Weights**: Modify rubric to reflect your ICP strategy. Read more about company ICP scoring automation with Airtop and n8n

Automatically detect new n8n releases (stable or beta) from GitHub, update Coolify environment variables, and trigger deployments. Functionality This workflow automates deployment of n8n releases to a Coolify instance. It supports two tracks: Beta Releases: Checks GitHub every minute for prereleases, filters duplicates, updates the N8N_VERSION environment variable, and deploys. Stable Releases (disabled by default): Checks the latest stable release hourly and deploys. Key Features: Deduplication**: Ensures no repeated deployments for the same release. Version Parsing**: Extracts the semantic version (e.g., 1.34.0) from GitHub release names. Coolify Integration**: Updates environment variables and triggers deployments via API. Expected Outcomes New n8n beta/stable releases detected via GitHub API. Coolify environment variable N8N_VERSION updated to the latest version. Automatic deployment triggered in Coolify. Setup Guide Replace Placeholders: Update m8ccg8k44coogsk84swk8kgs in the Update ENV and Deploy nodes with your Coolify Application UUID. Configure Credentials: Add Coolify API credentials (httpHeaderAuth) with a valid API token in the headers. Enable Triggers: Toggle the Auto Update Latest Release node if stable releases are desired. Adjust schedule intervals as needed. Test: Run the workflow manually to validate API connections and version parsing. SEO Keywords Automated Deployment, n8n CI/CD, Coolify Integration, GitHub Release Monitoring, Environment Variable Management, Beta Release Automation.

Who is this for? This workflow is perfect for marketers, SEO specialists, product teams, and competitive analysts who want to monitor and summarize public reviews of their competitors. It’s especially helpful for small teams who want fast insights from Google reviews without spending hours manually reading and sorting them. What problem is this workflow solving? Manually going through competitor reviews is time-consuming and repetitive. You risk missing patterns or insights, and it’s hard to share summaries with your team quickly. This workflow automatically scrapes reviews from Google and generates a structured summary of pain points and positive feedback. That way, you can focus on strategy instead of sorting through dozens of reviews. What this workflow does This automation watches for new competitor entries in a Google Sheet, then: Uses Dumpling AI to scrape the latest Google reviews (up to 20) for each business. Splits and cleans the reviews for analysis. Sends them to GPT-4o, which summarizes the most common complaints and praises. Saves the structured result back to the same Google Sheet. You’ll instantly get an overview of what people are saying about any competitor. Setup Google Sheet Setup Create a Google Sheet with at least one column: Business Add names or search queries for the competitors you want to analyze Optional: Add columns for Summary of Reviews and Pain Points Connect Dumpling AI Sign up at Dumpling AI Create an agent using the get-google-reviews endpoint Copy your agent key Use it in the HTTP Request node in this workflow OpenAI Setup Use your API key with GPT-4o access The prompt is already structured to generate grouped summaries from reviews Run the Workflow Trigger it manually or schedule it Make sure your Google Sheets, OpenAI, and Dumpling AI connections are active How to customize this workflow to your needs You can expand the number of reviews retrieved by changing the Dumpling AI agent config Replace Google Sheets with Airtable if you want more robust data views Add more fields like star ratings or review dates in your agent for richer analysis Change the GPT prompt to highlight emotional tone, urgency, or feature mentions 🧠 Node Details Google Sheets Trigger**: Watches for new competitor names HTTP Request (Dumpling AI)**: Scrapes 20 recent reviews from Google SplitOut Node**: Breaks review array into individual items Code Node**: Extracts and combines review text Edit Fields Node**: Structures the review content before GPT GPT-4o Node**: Analyzes and summarizes top pain points and praise Google Sheets Output**: Saves the summary back to the same sheet Dependencies Dumpling AI account and review scraping agent setup OpenAI API key with GPT-4o access Google Sheets OAuth2 credentials

This workflow enriches new accounts in Pipedrive using Datagma API by adding data about ICP (ideal customer profile). Instead of Pipedrive, you can use any other CRM. In this example, ideal buyers are heads of sales/business development. Prerequisites Pipedrive account and Pipedrive credentials How it works Pipedrive trigger node starts the workflow when a new company is created. HTTP Request node queries data from Datagma. Pipedrive node updates Pipedrive contact with new data from Datagma. The Item Lists node simplifies returned data from Datagma that contain lists (arrays), enabling you to easily modify the structure for further processing without the need to use Function nodes and write custom JavaScript. IF node identifies if the lead corresponds ICP. HTTP Request node searches for emails in Datagma. Set node prepares data for further merging. Merge node combines data from multiple streams. Pipedrive node adds a new person in Pipedrive.

📝 Overview This workflow leverages Google Gemini 2.0 Flash multimodal AI to automatically generate detailed descriptions of video content from any public URL. It streamlines video understanding, making it ideal for content cataloging, accessibility, and content moderation. 💡 Use Cases ♿ Accessibility: Automatically generate detailed video descriptions for visually impaired users. 🛡️ Content Moderation: Detect inappropriate or off-brand material without manual watching. 🗂️ Media Cataloging: Enrich your media library with automatically extracted metadata. 📈 Marketing & Branding: Gain fast insights into key elements, tone, and branding in video content. ⚙️ Setup Instructions 🔑 Get a Gemini API Key Register at ai.google.dev and create an API key. Before running the workflow, set your Gemini API key as an environment variable named GeminiKey for secure access within the workflow. In the Set Input node, reference this environment variable instead of hardcoding the key. 🌐 Configure Video URL Replace the sample URL in the Set Input node with your desired public video URL. Ensure the video is directly accessible (no login or special permissions required). 📝 Optional: Customize the Analysis Edit the prompt in the Analyze video Gemini node to focus on the most relevant video details for your use case (e.g., branding, key actions, visual elements). 🔒 Security Tip Use n8n's credentials manager or environment variables (like GeminiKey) to store your API key securely. Avoid hardcoding API keys directly in workflow nodes, especially in production environments. 🔄 How It Works 📥 Download the video from the provided URL. ☁️ Upload the video to Gemini’s server for processing. ⏳ Wait for Gemini to complete processing. 🤖 Analyze the video with Gemini AI using your customized prompt. 📄 Output a comprehensive description of the video as videoDescription. ⚡ Technical Details Uses HTTP Request nodes to interact with Gemini API endpoints. Handles file download, upload, status checking, and result retrieval. Customizable Gemini AI parameters for fine-tuned response. Main output: videoDescription (detailed text describing video content). 🚀 Quickstart Set your Gemini API key as the GeminiKey environment variable and configure your video URL in the workflow. Execute the workflow. Retrieve your rich, AI-generated video description for downstream use such as automation, tagging, or reporting.

This n8n template allows you to monitor hourly weather conditions in a specific city using OpenWeatherMap and log the results to a Google Sheet. It’s perfect for anyone needing periodic weather tracking—whether you're managing logistics, travel planning, or environmental monitoring. 🔧 How it works A Schedule Trigger activates the workflow every hour. The Get Weather Data from OpenWeatherMap node fetches real-time weather details using the city name you specify. An IF node checks if the weather description contains "rain" or the temperature is below a set threshold. If the condition is true, the data is formatted with city, temperature, humidity, and conditions. The Google Sheets node appends this formatted information to your designated sheet. 👤 Who is it for? This workflow is ideal for: Operations teams monitoring weather-sensitive logistics Researchers collecting climate data Developers and hobbyists learning how to connect APIs with Google Sheets 🗂️ Google Sheet Structure Your Google Sheet should have the following columns: city (string) temperature (K) (number) humidity (number) conditions (string) status (string) ⚙️ Setup Instructions Create a Google Sheet with the above columns. Set up your Google Service Account credentials in n8n. Replace the API key in the HTTP Request node with your own OpenWeatherMap credential. Specify your target city and ensure your OpenWeatherMap account is active. Adjust the frequency in the Schedule Trigger as needed (default: every hour).

Automating Company Data Enrichment and ICP Calculation Use Case This automation identifies a company's LinkedIn profile, extracts key business data, and calculates an ICP (Ideal Customer Profile) score to qualify and enrich company records. It is perfect for sales teams, data enrichment pipelines, and CRM integrations. What This Automation Does Input Parameters Company domain**: The company's website domain (e.g., example.com). Airtop Profile (connected to LinkedIn)**: Your Airtop Profile authenticated for LinkedIn. Company LinkedIn* *(optional): If already known, skips search. Output Includes Verified LinkedIn company URL (if not provided) Company profile (name, tagline, website, location, about) Scale metrics (employee count and bracket) Classification (automation agency status, AI focus, technical level) ICP score with justifications Structured JSON object with all values merged How It Works LinkedIn Detection: If not provided, attempts to locate the LinkedIn URL using website scraping or search. Data Extraction: Uses Airtop to gather structured data from the company’s LinkedIn profile. ICP Scoring: Applies a scoring rubric based on AI/tech orientation, scale, agency status, and geography. Merge Results: All data components are merged into a unified output. Setup Requirements Airtop API Key Airtop Profile with LinkedIn authentication Next Steps Combine with Person Enrichment**: Pair with workflows that enrich individuals tied to the company. Sync to CRM**: Connect the output to your CRM for record enrichment or scoring fields. Adjust ICP Scoring Logic**: Modify the rubric for your organization's ICP model. Read more about company data enrichment and ICP scoring

What this workflow does This workflow in n8n demonstrates how to send a message in Lark using a Lark bot. It begins with a manual trigger and then retrieves the necessary Lark token via a POST request. The token is used to authenticate and send a message to a specific chat using the Lark API. The input node provides the required app_id, app_secret, chat_id, and message content. After obtaining the token, the message is sent with the Lark API's message/v4/send/ endpoint. Who This Is For This n8n workflow is ideal for organizations, teams, and developers who need to automate message sending within Lark, especially those managing notifications, alerts, or team reminders. It can help users reduce manual messaging tasks by leveraging a Lark bot to deliver messages at specific intervals or based on particular conditions, enhancing team communication and responsiveness. Setup Fill the Input node with your values Exchange the bearer token in the Send Message node with your token Author: Hiroshi

WordPress Post Auto-Categorization Workflow 💡 Click here to read detailed case study 📺 Click here to watch youtube tutorial 🎯 Purpose Automatically categorize WordPress blog posts using AI, saving hours of manual work. This workflow analyzes your post titles and assigns them to predefined categories using artificial intelligence. 🔄 What This Workflow Does • Connects to your WordPress site • Retrieves all uncategorized posts • Uses AI to analyze post titles • Automatically assigns appropriate category IDs • Updates posts with new categories • Processes dozens of posts in minutes ⚙️ Setup Requirements WordPress site with admin access Predefined categories in WordPress OpenAI API credentials (or your preferred AI provider) n8n with WordPress credentials 🛠️ Configuration Steps Add your WordPress categories (manually in WordPress) Note down category IDs Update the AI prompt with your category IDs Configure WordPress credentials in n8n Set up AI API connection 🔧 Customization Options • Modify AI prompts for different categorization criteria • Adjust for multiple category assignments • Add tag generation functionality • Customize for different content types • Add additional metadata updates ⚠️ Important Notes • Backup your WordPress database before running • Test with a few posts first • Review AI categorization results initially • Categories must be created manually first 🎁 Bonus Features • Can be modified for tag generation • Works with scheduled posts • Handles bulk processing • Maintains categorization consistency Perfect for content managers, bloggers, and website administrators looking to organize their WordPress content efficiently. #n8n #WordPress #ContentManagement #Automation #AI Created by rumjahn

This workflow automatically adds closed deals from Pipedrive as new customers into Stripe. Prerequisites Pipedrive account and Pipedrive credentials Stripe account and Stripe credentials How it works Pipedrive trigger node starts the workflow when a deal gets updated in Pipedrive. IF node checks that the current won time is not equal to the previuos one in the deal and continues the workflow if it's true. Pipedrive node extracts the organization's details to pass it further. HTTP Request node searches for the same organization's details within Stripe. If a customer doesn't exist within Stripe, Merge node passes a new customer details to Stripe. Stripe node creates a new customer.

This workflow takes off the task of backing up workflows regularly on Github and uses Google Drive as the main tool to host these. This can be a good way to keep track of your workflows so that you never lose any workflows in case your n8n goes down. How does it work Creates a new folder within a specified folder with the time its backed up Loops around all workflows, converts them to a JSON file and uploads them to the created folder Gets the previous backups and deletes them This has a clean feel and look as it simplifies the backup while not keeping a cache of workflows on your drive. Setup Create a new folder Create new service account credentials Share the folder with the service account email Upload this workflow to your canvas and map the credentials Set the schedule that you need your workflows to run and manage your backups Activate the workflow Happy Productivity! @Imperol

This workflow automates the process of publishing PR News articles to the WordPress website. 🔧 How it works: Uses an RSS Feed Trigger to monitor new PR News articles. Extracts the article content and parses the featured image URL. Uploads the image to WordPress as a media item. Creates a new draft post on the WordPress site using the article's content and sets the uploaded image as the featured image. ✅ Features: Polls RSS feed every minute. Automatically extracts and sets featured images. Posts are created as drafts for editorial review. 📝 Requirements: WordPress REST API access with media upload permission. Active WordPress credentials in n8n. Perfect for teams who want to streamline PR content publishing without manual effort.