A powerful Python tool to scrape and download posts from any MSN channel with likes, comments, and engagement metrics. Extract articles and slideshows data incrementally with real-time saving capabilities.
- Auto Provider Detection: Automatically extracts provider ID from MSN channel URLs
- Incremental Saving: Save posts progressively as they're scraped (never lose progress!)
- Flexible Scraping: Choose specific number of posts or fetch all available posts
- Rich Data Extraction: Captures likes, dislikes, comments, titles, URLs, abstracts, and timestamps
- Dual Export Format: Saves data in both CSV and JSON formats
- Provider Filtering: Filter posts to only include those from the specific channel
- Smart Caching: Caches first page to avoid redundant API calls
- Rate Limiting: Built-in delays to respect MSN servers
- Real-time Progress: Live updates showing scraping progress
- Dynamic Filenames: Automatically names files based on provider name
- Installation
- Quick Start
- Usage
- Features Explained
- Data Fields
- Examples
- Requirements
- Contributing
- License
- Python 3.7 or higher
- pip (Python package installer)
- Clone the repository
git clone https://github.com/mohdtalal3/msn-scraper.git
cd msn-scraper- Install required packages
pip install requestsThat's it! No additional dependencies required.
- Run the scraper
python msn.py- Enter MSN channel URL when prompted
Example: https://www.msn.com/en-us/channel/source/FinanceBuzz%20Money/sr-vid-nx9xwm4ac8jkgyp2qymus852ntch6haq5b8msw39hdgsf4anjjxa
- Choose how many posts to scrape
- Enter a number (e.g.,
50,100,200) - Or enter
allto fetch all available posts
- Wait for completion
- Posts are saved incrementally as they're fetched
- Files are automatically named based on the channel (e.g.,
FinanceBuzz_Money_posts.csv)
Simply run the script and follow the prompts:
python msn.py- Go to MSN.com
- Navigate to any channel/source page
- Copy the URL from your browser
- The URL should look like:
https://www.msn.com/en-us/channel/source/{ProviderName}/sr-{provider-id}
- FinanceBuzz Money:
https://www.msn.com/en-us/channel/source/FinanceBuzz%20Money/sr-vid-nx9xwm4ac8jkgyp2qymus852ntch6haq5b8msw39hdgsf4anjjxa - Any other MSN channel: Just copy the URL from the channel page
The scraper automatically extracts the provider ID from any MSN channel URL. No need to manually find provider IDs!
Unlike traditional scrapers that save everything at the end, this tool saves posts after each page is fetched. Benefits:
- β Never lose progress if the script is interrupted
- β See results immediately
- β Safe for long-running scrapes
- Set a specific limit:
50,100,500 - Fetch everything:
all - The scraper respects your choice and stops accordingly
By default, only posts from the specific channel are included. This filters out:
- Suggested posts from other sources
- Topic feed recommendations
- Only gives you authentic channel content
Each scraped post includes:
| Field | Description |
|---|---|
id |
Unique post identifier |
title |
Post headline/title |
type |
Content type (article/slideshow) |
url |
Direct link to the post |
likes |
Number of upvotes |
dislikes |
Number of downvotes |
total_reactions |
Total engagement count |
total_comments |
Number of comments |
published_date |
Publication timestamp |
provider |
Provider/source name |
provider_id |
Provider unique identifier |
abstract |
Post summary/description |
python msn.py
# Enter URL: https://www.msn.com/en-us/channel/source/...
# Number of posts: 100Output:
ProviderName_posts.csv- 100 posts in CSV formatProviderName_posts.json- 100 posts in JSON format
python msn.py
# Enter URL: https://www.msn.com/en-us/channel/source/...
# Number of posts: allOutput:
- All available posts from the channel
- Automatically stops when no more posts are available
from msn import MSNDataFetcher
# Initialize with provider ID
fetcher = MSNDataFetcher(provider_id="vid-...")
# Fetch posts
posts = fetcher.fetch_posts(
max_posts=50,
save_incrementally=True,
csv_filename="my_posts.csv",
json_filename="my_posts.json"
)
# Access post data
for post in posts:
print(f"{post['title']}: {post['likes']} likes")- Python: 3.7+
- Dependencies:
requests- For HTTP requests
All other dependencies are part of Python standard library:
json- JSON parsingcsv- CSV file handlingtime- Rate limitingre- Regular expressionsurllib.parse- URL parsingtyping- Type hints
Install dependencies:
pip install requestsmsn_scraper/
βββ msn.py # Main scraper script
βββ README.md # This file
βββ ProviderName_posts.csv # Output CSV (generated)
βββ ProviderName_posts.json # Output JSON (generated)
- Content Analysis: Analyze trending topics and engagement patterns
- Research: Gather data for academic or market research
- Archival: Backup posts from your favorite channels
- Data Science: Build datasets for NLP or machine learning projects
- Competitive Analysis: Monitor competitor content performance
- SEO Research: Study headline patterns and engagement
- Social Media Analytics: Track viral content and trends
In msn.py, adjust the delay between requests:
posts = fetcher.fetch_posts(
delay=2.0 # 2 seconds between requests (default: 1.0)
)To include all posts (including suggestions):
posts = fetcher.fetch_posts(
provider_filter=False # Include all posts
)posts = fetcher.fetch_posts(
csv_filename="custom_name.csv",
json_filename="custom_name.json"
)- Make sure the URL contains
/sr-vid-... - Check that you copied the complete URL
- Try copying the URL again from the channel page
- Some channels may have no posts or private content
- Try a different channel URL
- Check your internet connection
- Data is saved incrementally, so check the CSV file for partial results
- Increase delay between requests if you're being rate-limited
- Check your internet connection
Contributions are welcome! Here's how you can help:
- Fork the repository
- Create a feature branch (
git checkout -b feature/AmazingFeature) - Commit your changes (
git commit -m 'Add some AmazingFeature') - Push to the branch (
git push origin feature/AmazingFeature) - Open a Pull Request
- Add support for other MSN content types
- Implement proxy support
- Add GUI interface
- Create data visualization features
- Add export to other formats (Excel, SQLite, etc.)
- Implement multi-threading for faster scraping
- Add sentiment analysis features
This tool is for educational and research purposes only. Please:
- Respect MSN's Terms of Service
- Use reasonable rate limiting
- Don't overload their servers
- Use scraped data responsibly
- Check robots.txt and terms before scraping
- Don't use for commercial purposes without permission
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Made with β€οΈ for the data community
If this project helped you, please give it a β on GitHub!