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News Curation & Summarization Workflows

Collect news from RSS, Google Search, and social feeds, then summarize, tag, and deliver briefings to Slack, email, or Sheets. Stay informed without drowning in tabs.

Marketing teams, founders, ops leads, and agencies use these workflows to track industry headlines, competitor mentions, and trend shifts without spending mornings scrolling. Turn scattered sources into a clean daily digest, route “must-read” items to the right channel, and keep your team aligned. You’ll catch breaking updates faster, reduce duplicate research across people, and build a consistent briefing habit that supports content, positioning, and sales conversations.

📊 About News Curation & Summarization

AI automation for News Curation & Summarization pulls articles from sources like RSS and Google Search, filters by keywords and entities, then uses models like OpenAI to summarize and categorize. Workflows can dedupe repeats, score urgency, extract key quotes, and store results in Google Sheets for tracking. Send tailored digests to Slack or email by team, topic, or client. Honestly, it’s one of the quickest ways to turn “too much news” into decisions and content ideas.
How does News Curation & Summarization automation work?

A workflow gathers fresh items from sources like RSS feeds, Google Search results, or saved lists, then filters what matters using keywords, domains, and simple rules. Next, an AI step summarizes each story, pulls out key points, and adds tags like “competitor,” “regulation,” or “trend.” Finally, it delivers a digest to Slack or email and logs everything in Google Sheets so you can search later. You can run it on a schedule or trigger it from a webhook.

Do I need technical skills to automate News Curation & Summarization?

Not really. Most Flowpast workflows are plug-and-play: connect your accounts, add your topics, and turn them on.

How much time can automation save for News Curation & Summarization?

If you or your team spends about 2 hours a day skimming sources, automation can cut this in half by removing the busywork: collecting links, deduping, and turning long articles into quick summaries. The bigger win is consistency. You stop missing updates on busy days, and you avoid multiple people researching the same story. Many teams also reuse summaries for internal updates, client reporting, and content briefs, which saves another chunk of time each week.

What do I need to get started, and what are the requirements?

You need an n8n workspace, at least one source (RSS feed URLs work great), and a destination like Slack or Google Sheets. For AI summaries, you’ll add an API key for OpenAI (or another model provider if the workflow supports it). Start with a small topic list, then expand once the noise level feels right. Frankly, the best setup is one daily digest plus a “breaking news” alert for high-priority keywords.

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