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n8n Automation / Knowledge Management

AI Research Scraper to Notion KB Case Study.

Converts research overload into an organized, searchable knowledge base.

Daily
Run Cadence
Weekly Top 5
Digest
Automated
Dedup
Structured KB
Output

Overview

A scheduled workflow fetches new papers from configured feeds, summarizes key contributions with practical tags, and writes structured entries to Notion for team-ready discovery.

The Challenge

  • Filter useful papers from noisy research streams.
  • Create consistent summaries and relevance metadata.
  • Prevent duplicate entries during recurring runs.
  • Keep teams updated without manual curation effort.

My Solution

  • Queried source feeds on cron and processed items in controlled batches.
  • Generated structured summaries and tags with GPT models.
  • Implemented relevance filtering plus code-based dedup checks.
  • Published weekly top-paper digest emails from the curated dataset.
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