A Python application that automatically publishes new blog posts from an RSS feed to various social media platforms (Twitter, Facebook, Telegram, and LinkedIn). Now includes daily manual posting of engaging bite-sized content!
- Monitors RSS feed for new posts
- Automatically publishes to Twitter, Facebook, Telegram, and LinkedIn
- AI-powered content generation with OpenAI integration
- Error handling and logging
- Prevents duplicate posts
- Manual daily posting of bite-sized, engaging content
- Random article selection from aiinarabic.com
- Multiple content types: "Did you know?", definitions, tips, quotes, amazing facts
- Smart content generation using AI to extract engaging snippets
- Platform optimization with engagement scoring
- Duplicate prevention across all content types
- Dry-run mode for testing before posting
👉 See Daily Posting Feature Details
- Python 3.7 or higher
- RSS feed URL of your blog
- Social media API credentials:
- Twitter Developer Account
- Facebook Developer Account
- LinkedIn Developer Account
- Clone this repository:
git clone https://github.com/AIArabicProjects/manshar.git
cd manshar- Install the required dependencies:
pip install -r requirements.txt- Copy the
config.yaml.examplefile toconfig.yamland fill in your credentials:
cp config.yaml.example config.yaml- Edit the
config.yamlfile with your API credentials and RSS feed URL.
Run the application for regular article posting:
python main.py# Test daily posting (dry run)
python3 daily_poster.py --dry-run
# Test the feature
python3 test_daily_posting.py
# Post daily content once
python3 daily_poster.pyThe application will:
- Regular mode: Check for new posts in the RSS feed every 15 minutes
- Daily mode: Generate and post engaging content manually when you run the script
- Log all activities and any errors that occur
The application logs all activities to the console with timestamps. You can monitor the application's activity and troubleshoot any issues through these logs.
Feel free to submit issues and enhancement requests!