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TLDR Today

Features

  • Multi-source scraping: Collects news from leading tech and financial websites, including CNN, Bloomberg, TechCrunch, and more.
  • Real-time updates: Scrapes news every hour to ensure the latest news is published promptly.
  • Platform integration: Publishes news on Twitter, websites, and other customizable platforms.
  • Customizable filters: Allows users to filter news by keywords, categories, and sources.
  • Social engagement scheduler: Automatically likes recent tweets from the accounts you follow on a configurable cadence.

Requirements

git clone https://github.com/becloudready/tldr-today.git
pip install -r requirements.txt

Configure Credentials

~/tldr_app_config.ini

Usage

Publish curated news tweets

./run.sh

Automatically like tweets from followed accounts

Run the scheduler with your preferred cadence. By default it processes every 30 minutes, liking up to two recent tweets per followed account and recording already-liked tweets in liked_tweets_state.json so they are not processed again.

python like_following_scheduler.py --interval 45 --tweets-per-user 1 --max-users 50

Useful flags:

  • --run-once – perform a single pass and exit.
  • --min-delay / --max-delay – control the random pause between likes to mimic organic behaviour.
  • --state-file – change where the scheduler stores tweet IDs it has already processed.