Overview
This workflow automates the daily monitoring and analysis of content trends across multiple social media platforms using AI-driven tools. It integrates with Slack for notifications and Google Sheets for data management, streamlining trend discovery and reporting.
Key Features
- Scheduled Automation: Initiates trend monitoring at set intervals via a schedule trigger.
- AI-Powered Scraping: Utilizes ScrapeGraphAI nodes to extract trending topics from social media, Google Trends, viral content sources, and Reddit.
- Batch Processing: Efficiently splits and processes multiple trend queries in parallel.
- Data Aggregation: Merges insights from various platforms for comprehensive trend analysis.
- Automated Analysis: Processes and summarizes trend data using custom code nodes.
- Seamless Integration: Sends alerts and summaries to Slack and logs data in Google Sheets for easy access.
Benefits
- Saves significant manual research time by automating trend discovery.
- Provides actionable insights for marketing and content teams.
- Ensures timely awareness of emerging trends for strategic decision-making.
Use Cases
- Marketing teams tracking viral topics for campaign planning.
- Content creators identifying trending subjects for timely content production.
- Social media managers monitoring competitor and industry trends.
Integrations
- Slack: Real-time notifications and updates.
- Google Sheets: Centralized trend data storage and reporting.
- ScrapeGraphAI: Advanced AI scraping and analysis across platforms.
