Automated web scraping: email a CSV, save to Google Sheets & Microsoft Excel
How it works: The workflow starts by sending a request to a website to retrieve its HTML content. It then parses the HTML extracting the relevant information The extracted data is storted and converted into a CSV file. The CSV file is attached to an email and sent to your specified address. The data is simultaneously saved to both Google Sheets and Microsoft Excel for further analysis or use. Set-up steps: Change the website to scrape in the "Fetch website content" node Configure Microsoft Azure credentials with Microsoft Graph permissions (required for the Save to Microsoft Excel 365 node) Configure Google Cloud credentials with access to Google Drive, Google Sheets and Gmail APIs (the latter is required for the Send CSV via e-mail node).
By Mihai FarcasManage contacts in Google Contacts
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By Harshil Agrawal๐ฅ๐๐ค AI agent for n8n creators leaderboard - find popular workflows
n8n Creators Leaderboard Workflow Why Use This Workflow? The n8n Creators Leaderboard Workflow is a powerful tool for analyzing and presenting detailed statistics about workflow creators and their contributions within the n8n community. It provides users with actionable insights into popular workflows, community trends, and top contributors, all while automating the process of data retrieval and report generation. Benefits Discover Popular Workflows: Identify workflows with the most unique visitors and inserters (weekly and monthly). Understand Community Trends: Gain insights into what workflows are resonating with the community. Recognize Top Contributors: Highlight impactful creators to foster collaboration and inspiration. Save Time with Automation: Automates data fetching, processing, and reporting for efficiency. Use Cases For Workflow Creators: Track performance metrics of your workflows to optimize them for better engagement. For Community Managers: Identify trends and recognize top contributors to improve community resources. For New Users: Explore popular workflows as inspiration for building your own automations. --- How It Works This workflow aggregates data from GitHub repositories containing statistics about workflow creators and their templates. It processes this data, filters it based on user input, and generates a detailed Markdown report using an AI agent. Key Features Data Aggregation: Fetches creator and workflow statistics from GitHub JSON files. Custom Filtering: Focuses on specific creators based on a username provided via chat. AI-Powered Reports: Generates comprehensive Markdown reports with summaries, tables, and insights. Output Flexibility: Saves reports locally with timestamps for easy access. Data Retrieval & Processing Creators Data: Retrieved via an HTTP Request node from a JSON file containing aggregated statistics about creators. Workflows Data: Pulled from another JSON file with workflow metrics like visitor counts and inserter statistics. Data Merging: Combines creator and workflow data by matching usernames to provide enriched statistics. Report Generation The AI agent generates a Markdown report that includes: A summary of the creatorโs contributions. A table of workflows with key metrics (e.g., unique visitors, inserters). Insights into trends or community feedback. The report is saved locally as a file with a timestamp for tracking purposes. --- Quick Start Guide Prerequisites Ensure your n8n instance is running. Verify that the GitHub base URL and file variables are correctly set in the Global Variables node. Confirm that your OpenAI credentials are configured for the AI Agent node. How to Start Activate the Workflow: Make sure the workflow is active in your n8n environment. Trigger via Chat: Use the Chat Trigger node to initiate the workflow by sending a message like: show me stats for username [desired_username] Replace [desired_username] with the username you want to analyze. Processing & Report Generation: The workflow fetches data, processes it, and generates a Markdown report. View Output: The final report is saved locally as a file (with a timestamp), which you can review to explore leaderboard insights.
By Joseph LePageBinance SM indicators webhook tool
This workflow acts as a central API gateway for all technical indicator agents in the Binance Spot Market Quant AI system. It listens for incoming webhook requests and dynamically routes them to the correct timeframe-based indicator tool (15m, 1h, 4h, 1d). Designed to power multi-timeframe analysis at scale. ๐ฅ Watch Tutorial: [](https://youtu.be/HWHD-eXP0IE) --- ๐ฏ What It Does Accepts requests via webhook with a token symbol and timeframe Forwards requests to the correct internal technical indicator tool Returns a clean JSON payload with RSI, MACD, BBANDS, EMA, SMA, and ADX Can be used directly or as a microservice by other agents --- ๐ ๏ธ Input Format Webhook endpoint: POST /webhook/indicators Body format: json { "symbol": "DOGEUSDT", "timeframe": "15m" } --- ๐ Routing Logic | Timeframe | Routed To | | --------- | -------------------------------- | | 15m | Binance SM 15min Indicators Tool | | 1h | Binance SM 1hour Indicators Tool | | 4h | Binance SM 4hour Indicators Tool | | 1d | Binance SM 1day Indicators Tool | --- ๐ Use Cases | Use Case | Description | | -------------------------------------------------- | ------------------------------------------------------ | | ๐ Used by Binance Financial Analyst Tool | Automatically triggers all indicator tools in parallel | | ๐ค Integrated in Binance Quant AI System | Supports reasoning, signal generation, and summaries | | โ๏ธ Can be called independently for raw data access | Useful for dashboards or advanced analytics | --- ๐ค Output Example json { "symbol": "DOGEUSDT", "timeframe": "15m", "rsi": 56.7, "macd": "Bearish Crossover", "bbands": "Stable", "ema": "Price above EMA", "adx": 19.4 } --- โ Prerequisites Make sure all the following workflows are installed and operational: Binance SM 15min Indicators Tool Binance SM 1hour Indicators Tool Binance SM 4hour Indicators Tool Binance SM 1day Indicators Tool OpenAI credentials (for any agent using LLM formatting) --- ๐งพ Licensing & Attribution ยฉ 2025 Treasurium Capital Limited Company All architectural routing logic and endpoint structuring is IP-protected. No unauthorized rebranding or resale permitted. ๐ Need help? Connect on LinkedIn โ Don Jayamaha
By Don Jayamaha JrGenerate images with GPT-image-1 and store in Google Drive with cost tracking
How it works Receive a chat input as an image prompt. Call OpenAI's gpt-image-1 API to generate an image. Split the returned images and process them one by one. Upload each generated image to Google Drive. Save image links and thumbnails to a Google Sheets document. Record token usage and estimated cost into a separate sheet. Set up steps Connect your OpenAI API credentials for image generation. Connect your Google Drive and Google Sheets accounts. Set the destination folder in Google Drive. Set the target Google Sheet and specify the correct sheet tabs. The setup usually takes around 5-10 minutes. Detailed field mappings are already pre-configured inside the workflow. Additional tips and instructions are included as sticky notes inside the workflow. Google Sheet copy url Copy Sheet Link
By darrell_twSend a file from S3 to AWS Textract
This workflow shows how to download an image file from S3 and pass it on to Textract for text extraction. The workflow uses two nodes: AWS S3: This node will download a receipt file from S3 AWS Textract: This node connects to Aamazon's Textract service to extract text from the receipt file
By TomTransform text into AI videos with Google Veo3, Leonardo.ai and Claude 4
๐ฌ Google Veo 3 Prompt and Video Generator via Leonardo.ai + Claude 4 Transform text descriptions into cinematic videos using Google's Veo 3 model through Leonardo.ai's platform! ๐ What This Workflow Does This advanced automation pipeline takes your creative ideas and turns them into professional-quality videos using Google's powerful Veo 3 model (accessed via Leonardo.ai), enhanced by Claude 4's sophisticated prompt engineering. โจ Key Features ๐ค AI-Powered Prompt Enhancement: Uses Claude 4 Sonnet with Wikipedia integration to craft optimal Google Veo 3 prompts ๐ฅ Professional Video Generation: Leverages Google's Veo 3 model through Leonardo.ai for high-quality text-to-video conversion โ๏ธ Automatic Cloud Storage: Videos are automatically saved to your Google Drive ๐ Structured Prompting: Follows Google Veo3 best practices with 8 essential elements (Subject, Context, Action, Style, Camera Motion, Composition, Ambiance, Audio) โก Hands-Off Processing: Set it and forget it - the workflow handles the entire pipeline ๐ง How It Works Input Your Concept - Describe your video idea in the "Video Context" node AI Enhancement - Claude 4 transforms your description into a cinematic Google Veo 3 prompt using advanced techniques Video Generation - Google's Veo 3 model (via Leonardo.ai) creates your video (720p resolution, ~8 seconds) Smart Waiting - 4-minute processing buffer ensures completion Auto-Download - Retrieves the finished video from Leonardo's servers Cloud Storage - Uploads directly to your Google Drive folder ๐ก Perfect For Content Creators looking to automate video production Marketing Teams needing quick promotional videos Educators creating engaging visual content Social Media Managers generating scroll-stopping content Creative Professionals exploring AI-assisted filmmaking ๐ Requirements Leonardo AI account with API access Anthropic API key (Claude 4 Sonnet) Google Drive integration N8N instance (cloud or self-hosted) ๐จโ๐ป About the Creator Created by: AlexK1919 - AI-Native Workflow Automation Architect, n8n Ambassador and Verified Partner, Founder @ WotAI If you'd like to review more Google Veo 3 Prompts organized by business category, check out over 9,000+ free, pre-made prompts at: Google Veo 3 Prompts ๐ License This workflow is available under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license. You are free to use, adapt, and share this workflow for non-commercial purposes under the terms of this license. Full license details: https://creativecommons.org/licenses/by-nc-sa/4.0/ ๐ฏ Example Output Input: "Star Wars stormtrooper digging for uranium in desert, saying something funny" The AI generates a structured prompt with: Subject: Detailed character description Context: Desert environment specifics Action: Dynamic digging movements Style: Cinematic vlog aesthetic Camera: Appropriate angles and movement Audio: Dialogue, sound effects, and music โ๏ธ Setup Notes Character Limit: Prompts are optimized for Leonardo's 1,500 character API limit Processing Time: Allow 4+ minutes for Google Veo3 video generation Quality: 720p resolution with native audio generation Consistency: Uses advanced Google Veo3 prompting for reliable results ๐ Customization Options Modify the prompt engineering system message for different styles Adjust video resolution and model parameters Change storage destination (Google Drive folder) Add post-processing steps or notifications ๐ Why This Workflow Rocks Unlike simple text-to-video tools, this workflow: Intelligently enhances your prompts using AI for Google Veo 3 Follows industry best practices for Google Veo3 prompting Automates the entire pipeline from idea to stored video Leverages multiple AI models for superior results Handles technical details like API limits and timing ๐จ Pro Tips Be specific in your initial context - detail creates better videos The workflow includes comprehensive Google Veo3 prompting guidelines Videos are typically 5-8 seconds - plan accordingly for longer content Experiment with different styles and camera movements optimized for Veo 3 The AI can access Wikipedia for factual enhancement --- Ready to revolutionize your video creation process? Import this workflow and start generating professional videos with just a text description! Perfect for anyone looking to harness the power of AI for content creation. Tags: veo3 GoogleVeo3 AI VideoGeneration Leonardo Claude Automation ContentCreation GoogleAI
By Alex KimSend Typeforms leads via Whatsapp (Twilio)
Send Typeforms leads via Whatsapp (Twilio)
By Jean-Elie LecuyAutomated product inquiry responder with GPT-4 and Google Sheets
AI-Powered Product Assistant for E-commerce Transform your online store customer service with an intelligent AI assistant that automatically processes customer inquiries, searches your product database, and provides personalized responses about product availability, pricing, and specifications. Perfect for shoe stores, fashion retailers, and any business with extensive product catalogs - this workflow eliminates manual customer service while increasing response speed and accuracy. How it works Customer sends product inquiry via webhook (Instagram DM, website chat, or messaging app) AI extracts key product details (brand, model, size, color) from natural language text System searches your Google Sheets product database with smart filtering AI generates friendly, personalized response with availability, pricing, and stock information Automatic response sent back to customer with product details or alternatives Screenshots: Customer inquiry: "Do you have Nike Air Max 40 size?" AI response: "Nike Air Max 90, size 40 - in stock 3 pieces, price 120$" Set up steps Prepare your product database - Create Google Sheets with columns: Brand, Model, Size, Color, Price, Quantity Configure AI settings - Connect OpenAI API for natural language processing Set up webhook endpoint - Configure trigger for your messaging platform (Instagram, Telegram, website chat) Test with sample inquiries - Verify AI correctly parses requests and finds products Deploy and monitor - Launch your automated assistant and track performance Time investment: 30-45 minutes setup, works immediately with any product catalog up to 1000+ items.
By DmytroSend trending "Show HN" to email
Triggers every day at 1pm Gets the current content from Hacker News Gets all the different submission items Extracts the rank, title and url Checks if it is a "Show HN" submission Combines the items into a simple email text Sends an email with the email text
By Jan OberhauserGet workflows affected by 0.214.3 migration
If you previously upgraded to n8n version 0.214.3, some of your workflows might have been accidentally rewired in the wrong way. This issue affected nodes with more than one output, such as If, Switch, and Compare Datasets. This workflow helps you identify potentially affected workflows and nodes that you should check. โ๏ธPlease ensure that you run this workflow as the instance owner.โ๏ธ
By Oleg Ivaniv๐ณ EU green legislation tracker with GPT-4o, Google Sheets and Tasks
Tags: EU Legislation, Sustainability, Automation, Web Scraping, OpenAI, Google Sheets, Policy Monitoring, Climate Context Hey! Iโm Samir, a Supply Chain Engineer and Data Scientist from Paris, and the founder of LogiGreen Consulting. We use AI, automation, and data to support sustainable business practices for small, medium and large companies. This workflow is part of our broader initiative to monitor and act on sustainability legislation in Europe. [](https://www.youtube.com/watch?v=f_nyArpH6kk) > How do you know if new EU laws will impact your business's sustainability goals? This n8n workflow automatically scrapes the EU Parliamentโs legislative portal to find and flag procedures related to environmental sustainability. ๐ฌ For business inquiries, feel free to connect with me on LinkedIn Who is this template for? This workflow is useful for: Sustainability consultants monitoring legal frameworks NGOs and researchers tracking environmental regulations Companies aligning with CSRD or EU Green Deal objectives Policy analysts looking for automation tools What does it do? This n8n workflow: ๐ Scrapes the EU Parliament legislative portal for yesterdayโs entries ๐ง Uses OpenAI to classify if each procedure is related to sustainability ๐๏ธ Filters out irrelevant items ๐ Saves the results in a Google Sheet โ Creates a Google Task for each relevant file to review the legislation How it works [](https://www.youtube.com/watch?v=f_nyArpH6kk) Trigger manually or on schedule Scrape HTML blocks for scheduled debates Parse each procedure to extract Title, Committee, Rapporteur, PDF link Call GPT-4-turbo to check if the topic matches sustainability criteria Filter responses based on โyesโ or โnoโ Store valid items into Google Sheets Generate tasks in Google Tasks The AI only flags procedures that directly impact the environment, circular economy, or pollution control. What do I need to get started? Youโll need: A Google Sheet connected to your n8n instance An OpenAI account with GPT-4 access A Google Task List Follow the Guide! Follow the sticky notes in the workflow or check my tutorial to configure each node and start using AI to monitor sustainability regulations in Europe. [](https://www.youtube.com/watch?v=f_nyArpH6kk) ๐ฅ Watch My Tutorial Notes AI filters are strict โ you can customise the system prompt to match your needs This is ideal for tracking legislative risk for climate regulations This workflow was built using n8n version 1.85.4 Submitted: April 21, 2025
By Samir Saci