amna arshad
8n AI Automation & Workflow Expert
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youtube automation
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An automated Website Uptime Monitoring & Alerting pipeline in n8n that regularly tests site responsiveness, double-checks downtime to prevent false alarms, and dispatches instant email/Telegram alerts upon failure.
Core Workflow Steps
Schedule & Configuration: Triggers at scheduled intervals, pulling website URLs along with Telegram Chat ID and Email notification credentials from the configuration node.
Initial Site Testing: Splits the list of URLs and performs HTTP requests (Perform Site Test) to evaluate whether each site is online (UP) or offline (DOWN).
Router & Delay Retry: Routes site statuses; if a site appears DOWN, it pauses (Wait) and re-tests the URL (Perform Site Test1) to double-check and prevent false downtime alerts.
Alert Notification: If the website remains unresponsive after the retry step, the router triggers the Send email (or Telegram) node to send an instant alert.👍 🎉
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n end-to-end automated Complaint Management and Follow-Up system built to log tickets, track resolution status, send multi-channel reminders, and automatically escalate pending issues to managers.
Core Workflow Steps
Data Ingestion & Cleaning: Receives complaints via API/Form/Callbot, then cleans and validates incoming payload using JavaScript.
Database Tracking (Airtable): Searches Airtable by tenant_id and phone—creates a new ticket if missing, or updates the existing ticket if found.
Automated Multi-Channel Notifications: Sends reminders via WhatsApp, Email (Gmail), or SMS (Twilio) if the status is not set to "Done."
Smart Loop & Escalation: Pauses for a set duration, re-checks completion status, increments follow-up attempt counters, and automatically escalates to a manager if maximum attempt limits are reached.
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An automated YouTube data aggregation pipeline built in n8n to fetch, deduplicate, merge, and store video analytics from multiple targeted channels on a scheduled daily trigger.
Automated Data Fetching: Automatically extracts daily video updates across multiple specific YouTube channels using scheduled triggers.
Data Cleansing & Deduplication: Combines raw inputs from all video streams and removes duplicate entries to ensure clean dataset records.
Sheet Integration & Processing: Appends structured records to Google Sheets and executes custom JavaScript to map new vs. existing Video IDs for final data storage.
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