Auto-generate social media posts from URLs with AI, Telegram & multi-platform posting
How it works This workflow turns any URL sent to a Telegram bot into ready-to-publish social posts: Trigger: Telegram message (checks if it contains a URL). Fetch & parse: Downloads the page and extracts readable text + title. AI writing: Generates platform-specific copy (Facebook, Instagram, LinkedIn). Image: Creates an AI image and stores it in Supabase Storage. Publish: Posts to Facebook Pages, Instagram Business, LinkedIn. Logging: Updates Google Sheets with post URLs and sends a Telegram confirmation (image + links). Setup Telegram – create a bot, connect via n8n Telegram credentials. OpenAI / Gemini – add API key in n8n Credentials and select it in the AI nodes. Facebook/Instagram (Graph API) – create a credential called facebookGraph with: • accessToken (page-scoped or system user) • pageId (for Facebook Page photos) • igUserId (Instagram Business account ID) • optional fbApiVersion (default v19.0) LinkedIn – connect with OAuth2 in the LinkedIn node (leave as credential). Supabase – credential supabase with url and apiKey. Ensure a bucket exists (default used in the Set node is social-media). Google Sheets – replace YOURGOOGLESHEET_ID and Sheet1. Grant your n8n Google OAuth2 access. Notes • No API keys are stored in the template. Everything runs via n8n Credentials. • You can change bucket name, image size/quality, and AI prompts in the respective nodes. • The confirmation message on Telegram includes direct permalinks to the published posts. Required credentials • Telegram Bot • OpenAI (or Gemini) • Facebook/Instagram Graph • LinkedIn OAuth2 • Supabase (url + apiKey) • Google Sheets OAuth2 Inputs • A Telegram message that contains a URL. Outputs • Social posts published on Facebook, Instagram, LinkedIn. • Row appended/updated in Google Sheets with post URLs and image link. • Telegram confirmation with the generated image + post links.
By Karol OtrębaAutomate regulatory compliance monitoring with ScrapeGraphAI and email alerts
How it works This workflow automatically monitors government regulatory changes and provides comprehensive compliance tracking and executive alerts. Key Steps Scheduled Monitoring - Runs daily at 9 AM to check for new regulatory changes from government sources. AI-Powered Scraping - Uses ScrapeGraphAI to extract regulatory information from Federal Register and government websites. Impact Assessment - Analyzes each regulation for business impact, risk factors, and compliance requirements. Compliance Tracking - Creates detailed tracking records with assigned teams, deadlines, and action items. Executive Alerts - Sends prioritized alerts to relevant teams based on impact level and urgency. Set up steps Setup time: 10-15 minutes Configure ScrapeGraphAI credentials - Add your ScrapeGraphAI API key for web scraping capabilities. Set up email connections - Configure email service to send executive alerts to compliance and legal teams. Customize monitoring targets - Update the government website URLs to monitor specific agencies or regulatory bodies. Adjust alert recipients - Configure email distribution lists for different impact levels (Critical, High, Medium, Low). Set up compliance tracking - Integrate with your project management system for task assignment and progress tracking. Key Features Automated Impact Assessment - Uses AI to evaluate regulatory impact on your business sectors Priority-Based Alerts - Sends urgent notifications for critical regulations requiring immediate attention Compliance Task Generation - Automatically creates compliance checklists and action items Team Assignment - Routes regulations to appropriate teams based on impact level Deadline Tracking - Monitors comment deadlines, effective dates, and review timelines
By vinci-king-01Automate tax compliance validation with OpenAI anomaly detection & accounting integration
How It Works Automates revenue data validation and intelligent anomaly detection with scheduled weekly processing. Fetches revenue data, applies dual OpenAI models for categorization and anomaly detection, identifies outliers or suspicious patterns, and synchronizes clean data with accounting software. Includes correction workflow through Connection Agent for data quality remediation. System generates compliance summaries and automatically sends reports to tax agents via Gmail. Designed for accounting firms, tax professionals, and finance teams requiring enterprise-grade data validation, fraud detection, and regulatory compliance without manual review bottlenecks. Setup Steps Configure OpenAI API keys for categorization and anomaly detection models Connect revenue data source and accounting software via Connection Agent Define anomaly detection thresholds and categorization Set email templates for tax agent communication Configure weekly schedule trigger timing Prerequisites OpenAI API key, accounting software credentials, revenue data source connectivity, Gmail account Use Cases Accounting firm multi-client processing, monthly/quarterly tax compliance Customization Adjust anomaly thresholds per business rules, customize categorization rules for industry standards Benefits Reduces data validation time by 85%, eliminates manual categorization errors, detects fraud patterns
By Cheng Siong Chin