Daily Viral Content Radar & Trend Analysis ETL Pipeline
Automated trend monitoring pipeline scraping viral content, extracting engagement metrics, classifying topics via AI, and generating daily digest reports.
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Chapter 1 of 4 · The question
What this project explores.
Automated trend monitoring pipeline scraping viral content, extracting engagement metrics, classifying topics via AI, and generating daily digest reports.
Follow the implementation.
- 01
Scheduled cron trigger fetching trending topics and engagement statistics via public APIs.
- 02
Analyzed content themes and classified viral potential with AI models.
- 03
Compiled formatted Markdown digests and distributed them across communication channels.
- 01Daily trigger
- 02Collect trends
- 03AI summary
- 04Digest output
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Automated trend monitoring pipeline scraping viral content, extracting engagement metrics, classifying topics via AI, and generating daily digest reports.
Current README excerpt
Category: Productivity & Content ETL Pipelines Monitors social platforms and APIs daily, extracts high-performing content trends, and generates AI executive summaries.
A source excerpt, not an independently verified outcome.