Workflow Templates

Overview The [n8n] YouTube Channel Advanced RSS Feeds Generator workflow facilitates the generation of various RSS feed formats for YouTube channels without requiring API access or administrative permissions. It utilizes third-party services to extract data, making it extremely user-friendly and accessible. Key Use Cases and Benefits Content Aggregation**: Easily gather and syndicate content from any public YouTube channel. No API Key Required**: Avoid the complexities and limitations of Google's API. Multiple Formats**: Supports ATOM, JSON, MRSS, Plaintext, Sfeed, and direct YouTube XML feeds. Flexibility**: Input can be a YouTube channel or video URL, ID, or username. Services/APIs Utilized This workflow integrates with: commentpicker.com**: For retrieving YouTube channel IDs. rss-bridge.org**: To generate various RSS formats. Configuration Instructions Start the Workflow: Activate the workflow in your n8n instance. Input Details: Enter the YouTube channel or video URL, ID, or username via the provided form trigger. Run the Workflow: Execute the workflow to receive links to 13 different RSS feeds, including community and video content feeds. Screenshots Additional Notes Customization**: You can modify the RSS feed formats or integrate additional services as needed. Support and Contributions For support, questions, or contributions, please visit the n8n community forum or the GitHub repository. We welcome contributions from the community!

Based on your use case, you might want to trigger a workflow if new data gets added to your database. This workflow allows you to send a message to Mattermost when new data gets added in Google Sheets. The Interval node triggers the workflow every 45 minutes. You can modify the timing based on your use case. You can even use the Cron node to trigger the workflow. If you wish to fetch new Tweets from Twitter, replace the Google Sheet node with the respective node. Update the Function node accordingly.

This n8n workflow collects and summarizes news from multiple RSS feeds, using OpenAI to generate a concise summary that can be sent to WhatsApp or other destinations. Perfect for automating your daily news digest. 🔁 Workflow Breakdown: Schedule Trigger Start the workflow on your desired schedule (daily, hourly, etc.). 🟨 Note: Set the trigger however you wish. RSS Feeds (My RSS 01–04) Fetches articles from four different RSS sources. 🟨 Note: You can add as many RSS feeds as you want. Edit Fields (Edit Fields1–3) Normalizes RSS fields (title, link, etc.) to ensure consistency across different sources. Merge (append mode) Combines the RSS items into a single unified list. Filter Optionally filter articles by keywords, date, or categories. Limit Limits the analysis to the 10 most recent articles. 🟨 Note: This keeps the result concise and avoids overloading the summary. Aggregate Prepares the selected news for summarization by combining them into a single content block. OpenAI (Message Assistant) Summarizes the aggregated news items in a clean and readable format using AI. Send Summary to WhatsApp Sends the AI-generated summary to a WhatsApp endpoint via webhook (yoururlapi.com). You can replace this with an email service, Google Drive, or any other destination. 🟨 Note: You can send it to your WhatsApp API, email, drive, etc. No Operation (End) Final placeholder to safely close the workflow. You may expand from here if needed.

How It Works: • Scrapes company review data from Glassdoor using ScrapingBee. • Extracts demographic-based ratings using AI-powered text analysis. • Calculates workplace disparities with statistical measures like z-scores, effect sizes, and p-values. • Generates visualizations (scatter plots, bar charts) to highlight patterns of discrimination or bias. Example Visualizations: Set Up Steps: Estimated time: ~20 minutes. • Replace ScrapingBee and OpenAI credentials with your own. • Input the company name you want to analyze (best results with large U.S.-based organizations). • Run the workflow and review the AI-generated insights and visual reports. This workflow empowers users to identify potential workplace discrimination trends, helping advocate for greater equity and accountability. Additional Credit: Wes Medford For algorithms and inspiration

Source code, I maintain this worflow here. Usage Guide This workflow backs up all workflows as JSON files named in the [workflow_name].json format. Steps Create GitHub Repository Skip this step if using an existing repository. Add GitHub Credentials In Credentials, add the GitHub credential for the repository owner. Download and Import Workflow Import this workflow into n8n. Set Global Values In the Globals node, set the following: repo.owner: GitHub username of the repository owner. repo.name: Name of the repository for backups. repo.path: Path to the folder within the repository where workflows will be saved. Configure GitHub Nodes Edit each GitHub node in the workflow to use the added credentials. Workflow Logic Each workflow run handles files based on their status: New Workflow If a workflow is new, create a new file in the repository. Unchanged Workflow If the workflow is unchanged, skip to the next item. Changed Workflow If a workflow has changes, update the corresponding file in the repository. Current Limitations / Needs work Name Change of Workflows If a workflow is renamed or deleted in n8n, the old file remains in the repository. Deleted Workflows Deleted workflows in n8n are not removed from the repository.

This general-purpose sub-agent combines multiple research and automation tools to support high-impact decision-making for animal advocacy workflows. It’s designed to act as a reusable, modular unit within larger multi-agent systems—handling search, scraping, scoring, and domain-specific semantic lookup. It powers many of the advanced workflows released by Open Paws and serves as a versatile backend utility agent. 🛠️ What It Does Performs real-time Google Search using Serper Scrapes and extracts page content using Jina AI and Scraping Dog Conducts semantic search over the Open Paws knowledge base Generates OpenAI embeddings for similarity search and analysis Routes search and content analysis through OpenRouter LLMs Connects with downstream tools like the Text Scoring Sub-Workflow to evaluate message performance > 🧩 This agent is typically used as a sub-workflow in larger automations where agents need access to external tools or advocacy-specific knowledge. 🧠 Domain Focus: Animal Advocacy The agent is pre-configured to interface with the Open Paws database—an open-source, animal advocacy-specific knowledge graph—and is optimized for content and research tasks relevant to farmed animal issues, corporate campaigns, and activist communication. 🔗 Integrated Tools and APIs | Tool | Purpose | |---------------|------------------------------------------| | Serper API | Real-time Google Search queries | | Jina AI | Web scraping and content extraction | | Scraping Dog | Social media scraping where Jina is blocked | | OpenAI API | Embedding generation for semantic search | | OpenRouter | Proxy to multiple LLMs (e.g., GPT-4, Claude)| | Open Paws DB | Advocacy-specific semantic knowledge base | 📦 Use Cases Create and evaluate online content (e.g. social media, emails, petitions) for predicted performance and advocacy alignment Act as a research and reasoning agent within multi-agent workflows Automate web and social media research for real-time campaign support Surface relevant facts or arguments from an advocacy-specific knowledge base Assist communications teams with message testing and content ideation Monitor search results and scrape pages to inform rapid response messaging

Easily generate images with Black Forest's Flux Text-to-Image AI models using Hugging Face’s Inference API. This template serves a webform where you can enter prompts and select predefined visual styles that are customizable with no-code. The workflow integrates seamlessly with Hugging Face's free tier, and it’s easy to modify for any Text-to-Image model that supports API access. Try it Curious what this template does? Try a public version here: https://devrel.app.n8n.cloud/form/flux Set Up Watch this quick set up video 👇 Accounts required Huggingface.co account (free) Cloudflare.com account (free - used for storage; but can be swapped easily e.g. GDrive) Key Features: Text-to-Image Creation**: Generates unique visuals based on your prompt and style. Hugging Face Integration**: Utilizes Hugging Face’s Inference API for reliable image generation. Customizable Visual Styles**: Select from preset styles or easily add your own. Adaptable**: Swap in any Hugging Face Text-to-Image model that supports API calls. Ideal for: Creators**: Rapidly create visuals for projects. Marketers**: Prototype campaign visuals. Developers**: Test different AI image models effortlessly. How It Works: You submit an image prompt via the webform and select a visual style, which appends style instructions to your prompt. The Hugging Face Inference API then generates and returns the image, which gets hosted on Cloudflare S3. The workflow can be easily adjusted to use other models and styles for complete flexibility.

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. 📁 Google Drive MCP Workflow – AI-Powered File Management Automation 🚀 🧠 Overview A secure and intelligent n8n workflow that connects with Google Drive via MCP (Model Control Protocol). Ideal for AI agent tasks, compliance-driven storage, and document automation. 🌟 Key Features 🔒 Built-In Safety Backs up files before edits (timestamped) Supports rollback using file history Validates file size, type, and permissions 📁 Smart Organization Automatically converts file types (PDF, DOCX, etc.) Moves files to structured folders Auto-archives old files based on age or rules 🔄 MCP Integration Accepts standardized JSON via webhook Real-time execution for AI agents Fully customizable input (action, fileId, format, etc.) ✅ AI Callable MCP Actions These are the commands AI agents can perform via MCP: Download a file (with optional format conversion) Upload a new file to Google Drive Copy a file for backup Move a file to a specific folder Archive old or inactive files Organize documents into folders Convert files to a new format (PDF, DOCX, etc.) Retrieve and review file history for rollback 📝 Example Input { "action": "download", "fileId": "abc123", "folderPath": "/projects/clientA", "convertFormat": "pdf" } 🔐 Security & Performance OAuth2 secured access to Google Drive API No sensitive data stored in transit Real-time audit logs and alerts Batch-friendly with built-in rate limiting 📌 Ideal For Businesses automating file management AI Agents retrieving, sorting, converting, or archiving files Compliance teams needing file versioning and backups ⚙️ Requirements n8n + Google Drive API v3 MCP server + Webhook integration Google OAuth2 Credentials

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. This workflow automatically analyzes competitor backlink profiles to understand their link building strategies and identify opportunities for your own SEO efforts. It saves you time by eliminating the need to manually research competitor links and provides detailed insights into their most valuable linking relationships. Overview This workflow automatically scrapes backlink analysis tools and competitor websites to extract comprehensive backlink data including referring domains, anchor text, link quality metrics, and link acquisition patterns. It uses Bright Data to access backlink databases and AI to intelligently analyze competitor link strategies. Tools Used n8n**: The automation platform that orchestrates the workflow Bright Data**: For scraping backlink analysis platforms without being blocked OpenAI**: AI agent for intelligent backlink strategy analysis Google Sheets**: For storing competitor backlink data and insights How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Bright Data: Add your Bright Data credentials to the MCP Client node Set Up OpenAI: Configure your OpenAI API credentials Configure Google Sheets: Connect your Google Sheets account and set up your backlink analysis spreadsheet Customize: Define competitor domains and backlink analysis parameters Use Cases SEO Strategy**: Learn from competitor link building success and replicate strategies Link Prospecting**: Identify websites that link to competitors but not to you Competitive Intelligence**: Understand competitor SEO strategies and authority sources Link Building**: Find high-quality link opportunities in your industry Connect with Me Website**: https://www.nofluff.online YouTube**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Get Bright Data**: https://get.brightdata.com/1tndi4600b25 (Using this link supports my free workflows with a small commission) #n8n #automation #competitorbacklinks #backlinkanalysis #seo #linkbuilding #brightdata #webscraping #competitoranalysis #n8nworkflow #workflow #nocode #linkanalysis #backlinkresearch #seoanalysis #competitiveintelligence #linkresearch #seostrategy #backlinkmonitoring #linkprospecting #domainanalysis #seotools #backlinkaudit #linkbuilding #organicseo #searchmarketing #competitorresearch #linkstrategy #seocompetitor #backlinkinsights

This workflow automatically monitors competitor pricing across multiple products and services to track market positioning and pricing strategies. It saves you time by eliminating the need to manually check competitor prices and provides real-time insights into pricing changes and market trends. Overview This workflow automatically scrapes competitor websites and pricing pages to extract current pricing information, product details, and promotional offers. It uses Bright Data to access pricing data without restrictions and AI to intelligently parse pricing information and detect changes over time. Tools Used n8n**: The automation platform that orchestrates the workflow Bright Data**: For scraping competitor pricing pages without being blocked OpenAI**: AI agent for intelligent pricing data extraction and analysis Google Sheets**: For storing pricing data and tracking changes over time How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Bright Data: Add your Bright Data credentials to the MCP Client node Set Up OpenAI: Configure your OpenAI API credentials Configure Google Sheets: Connect your Google Sheets account and set up your pricing tracking spreadsheet Customize: Define competitor URLs and pricing monitoring parameters Use Cases Pricing Strategy**: Stay competitive by monitoring market pricing trends Product Management**: Track competitor feature and pricing changes Sales Teams**: Provide up-to-date competitive pricing information Market Research**: Analyze pricing patterns and market positioning Connect with Me Website**: https://www.nofluff.online YouTube**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Get Bright Data**: https://get.brightdata.com/1tndi4600b25 (Using this link supports my free workflows with a small commission) #n8n #automation #pricemonitoring #competitorpricing #brightdata #webscraping #pricinganalysis #n8nworkflow #workflow #nocode #competitoranalysis #pricingdata #marketresearch #pricingtrends #competitiveintelligence #pricingtracking #marketanalysis #pricecomparison #competitormonitoring #businessintelligence #pricingstrategy #marketpositioning #pricinginsights #competitorresearch #pricingautomation #markettrends #pricealerts #dynamicpricing #pricingoptimization #competitivepricing

🕵️ Company Research Agent (n8n + Explorium + LLM) This n8n workflow automates company research by combining Explorium’s MCP server, web scraping tools, and an AI agent. Results are written to a Google Sheet for easy use in GTM, product analysis, or competitive research. 🚀 What It Does Given a list of company domains or names, this workflow will: Look up company information using: 🧠 LLM Agent to guide the research 🔎 Explorium MCP Server for firmographic & tech signals 🌐 Website content and SerpAPI scraping (optional) Extract key commercial details (see below) Format the output in a consistent JSON structure Update a connected Google Sheet with the enriched results 🧩 Extracted Fields Each company is enriched with: domain linkedinUrl has_free_trial cheapest_plan has_enterprise_plan last_case_study_link market (e.g., B2B or B2C) integrations (e.g., Slack, Hubspot, MySQL) enrichment_status 📥 Input Sheet Format | input | |-------------| | Explorium | | n8n | | Apple | | ... | 📤 Output Sheet Format | domain | linkedinUrl | has_free_trial | cheapest_plan | has_enterprise_plan | last_case_study_link | market | integrations | enrichment_status | |--------------|----------------------------------|----------------|----------------|----------------------|-----------------------------|--------|---------------------------------------------------|-------------------| | Explorium.ai | https://linkedin.com/company/... | TRUE | 69 | TRUE | https://www.explorium.com | B2B | ["HubSpot", "Zapier", "Salesforce", ...] | done | | n8n.io | https://linkedin.com/company/... | TRUE | 20 | TRUE | https://n8n.io/case-studies | B2B | ["Slack", "Gmail", "MySQL", "Google Sheets", ...] | done | 🛠️ Tools Used n8n** (Automation platform) Explorium MCP Server** – rich company enrichment via API Anthropic Claude or OpenAI** – used by the AI researcher Google Sheets** – stores output data Structured Output Parser** – ensures clean, predictable JSON formatting 📦 How to Set It Up Add your company domains or names to the input sheet Configure your MCP and SerpAPI credentials in n8n Run the workflow using the Test Workflow trigger Watch the sheet populate with results You can adapt the system to output different formats or fields depending on your team's research goals. 📌 Use Cases Competitive landscape analysis Lead intelligence for outbound campaigns Feature benchmarking (e.g., who offers enterprise or free trial) VC/investment research 🧠 Notes This agent is easily customizable. Adjust the LLM prompt or Output Parser to extract different properties. Explorium MCP is leveraged as the core enrichment engine, ensuring signal accuracy and freshness.

This n8n workflow sends SMS messages through the Textbelt API by accepting phone numbers, messages, and API keys as inputs. It uses a manual trigger to start the process, sets the necessary data, and executes an HTTP POST request to deliver the SMS. Step-by-Step Explanation: Manual Trigger: Starts the workflow manually by clicking ‘Execute workflow’. Set Data Node: Defines the required input parameters (phone, message, and key) that will be sent to the SMS API. You can populate these fields with your target phone number, the text message, and your Textbelt API key. HTTP Request Node: Sends a POST request to https://textbelt.com/tex with the phone number, message, and API key in the request body to send the SMS. The response from the API confirms whether the message was successfully sent.