rss-digest

name	rss-digest
license	MIT
description	Fetch, filter, and summarize RSS/Atom feeds into a clean daily or weekly digest. Supports multiple feeds, keyword filtering, deduplication, and outputs Markdown or plain text summaries.
author	zacjiang
version	1.0.0
tags	rss, atom, feed, news, digest, summary, newsletter, monitoring, automation
source	https://github.com/1yihui/YiHui
compatibility	any-agent

RSS Feed Digest

Aggregate multiple RSS/Atom feeds into a clean, summarized digest. Perfect for automated newsletters, news monitoring, or daily briefings.

Usage

Fetch and display recent items

python3 {baseDir}/scripts/rss_digest.py fetch \
  --feeds "https://hnrss.org/frontpage" "https://feeds.arstechnica.com/arstechnica/technology-lab" \
  --hours 24 \
  --limit 20

Filter by keywords

python3 {baseDir}/scripts/rss_digest.py fetch \
  --feeds "https://hnrss.org/frontpage" \
  --keywords "AI,LLM,agent,OpenClaw" \
  --hours 48

Output as Markdown file

python3 {baseDir}/scripts/rss_digest.py fetch \
  --feeds "https://hnrss.org/frontpage" \
  --output digest.md \
  --format markdown

Use a feed list file

# Create feeds.txt with one URL per line
python3 {baseDir}/scripts/rss_digest.py fetch \
  --feed-file feeds.txt \
  --hours 24

Features

• 📰 Supports RSS 2.0 and Atom feeds
• 🔍 Keyword filtering (include/exclude)
• 🔄 Deduplication across multiple feeds
• 📅 Time-based filtering (last N hours)
• 📝 Markdown or plain text output
• 📋 Feed list file support for managing many sources

Dependencies

pip3 install feedparser

Example: Daily AI News Digest

# feeds.txt
https://hnrss.org/frontpage
https://feeds.arstechnica.com/arstechnica/technology-lab
https://www.artificialintelligence-news.com/feed/
https://openai.com/blog/rss.xml

# Run daily via cron
python3 rss_digest.py fetch --feed-file feeds.txt --keywords "AI,LLM,GPT,Claude,agent" --hours 24 --output /tmp/daily-ai-digest.md

Use Cases

• Daily briefings: Summarize industry news for your team
• Newsletter automation: Generate content for Beehiiv/Substack newsletters
• Competitive monitoring: Track mentions of competitors or keywords
• Research: Aggregate academic/industry feeds on a topic
• Heartbeat integration: Run during OpenClaw heartbeat to check for relevant news