AutomationOctober 9, 2025

Automated Social Media Monitoring & AI Reporting Workflow

Developed a custom n8n workflow for a marketing agency to automate social media monitoring, sentiment analysis, and reporting. Integrated Apify scrapers, OpenAI GPT for AI-powered insights, Airtable as the command center, and Google Docs for automated reporting. The system saved 20+ hours per week, improved campaign planning with AI-generated strategies, and scaled seamlessly for multiple clients.

Automated Social Media Monitoring & AI Reporting Workflow  — project cover
Category
Automation
Stack
  • n8n
  • API
  • Airtable
  • Web Scraping
  • API Integration
Team
Shoaib Nawab, Malik Saad

This project focused on creating a custom n8n automation system for a digital marketing agency that wanted to streamline how it tracks, analyzes, and reports on social media content. The goal was to replace manual hours of scrolling, copy-pasting, and guesswork with a fully automated pipeline that gathers insights, evaluates engagement, and produces actionable strategies.

The Social Media Intelligence Engine was designed as a scalable workflow solution that connects n8n, Airtable, Apify, OpenAI GPT, and Google Docs into one seamless ecosystem.

Automated Social Media Monitoring & AI Reporting Workflow  — project preview

What the Workflow Does

1. Automated Social Media Scraping

The workflow uses Apify scrapers integrated into n8n to collect posts, hashtags, and profile data from platforms like TikTok, Instagram, YouTube, Twitter, LinkedIn, and Facebook. Instead of manually hunting for content, the system gathers data automatically based on commands set in Airtable.

2. Engagement & Sentiment Analysis with AI

All scraped posts and comments are sent through OpenAI GPT for advanced sentiment analysis. The AI detects positive vs negative tone, extracts common audience questions, and identifies patterns behind audience engagement.

3. Viral Playbook Generation

The workflow identifies top-performing content and reverse-engineers why it went viral. Using GPT, it generates a Viral Playbook in Google Docs, outlining strategies the agency can reuse to create high-performing campaigns.

4. Centralized Intelligence Hub in Airtable

The system stores all content, metrics, and insights in Airtable, creating a searchable audience intelligence database. This gives the agency a single source of truth for tracking content performance across multiple clients.

5. Fully Automated Reporting

The workflow can be triggered by simply updating a status field in Airtable. From there, n8n orchestrates scraping, AI analysis, database updates, and Google Docs reporting, completing the process from start to finish without manual input.

Automated Social Media Monitoring & AI Reporting Workflow  — What the Workflow Does

My Role in the Project

As a Workflow Automation Engineer, I:

  • Designed and built the n8n workflow architecture from scratch.
  • Integrated Apify scrapers for multi-platform data collection.
  • Connected OpenAI GPT API for natural language sentiment analysis and strategy recommendations.
  • Built a scalable Airtable command center to control and track workflows.
  • Automated Google Docs reporting for client-ready deliverables.
Automated Social Media Monitoring & AI Reporting Workflow  — My Role in the Project

Key Results Achieved

  • 20+ hours per week saved in manual social media monitoring and reporting.
  • Higher client ROI by using AI to detect viral content patterns and audience sentiment.
  • Scalable multi-client setup that allowed the agency to track multiple campaigns at once.
  • Improved campaign planning with actionable AI-generated Viral Playbooks.
  • Centralized workflow reduced tool chaos and created a repeatable system for ongoing use.
Automated Social Media Monitoring & AI Reporting Workflow  — Key Results Achieved
Automated Social Media Monitoring & AI Reporting Workflow  — project preview