How I Built a Smart RSS Digest System Using n8n

A client came to me with a simple request on the surface.

They wanted a way to keep up with multiple RSS feeds without spending hours reading through repeated or low quality articles.

The real challenge was scale.

The feeds produced duplicate entries.

Some articles only shared previews instead of full content.

Reading everything daily wasn’t realistic.

So I built a custom n8n workflow to handle it end to end.

The automation collects content from multiple RSS feeds and removes duplicates automatically. When an article doesn’t contain the full text, the system fetches and extracts the complete content before processing it further.

From there, OpenAI summarizes each article into clear and readable insights. At the end of the day, everything is compiled into a clean daily digest and delivered straight to Telegram.

The result was simple but powerful.

No repeated stories.

No long reads.

No manual filtering.

The client now receives one daily update with only the most relevant information and told me it feels like having a personal news assistant.

This kind of automation is perfect for founders, analysts, content teams, and anyone who needs timely information without the noise.

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