This is simple telegram crawler and parser based on bellingcat's scraper
It parses posts from channels, looks for t.me links and tries to parse them.
Try to look here (may require some RAM)
(how to publish large graphs online)
- You should have basic python knowledge to use this.
- First create virtualenv
- Then install dependencies:
pip install -r requirements.txt - Check source code. It expects
creds.txtfor sqlalchemy connection string for your DB in./andchannels.csvas seed list to start scraping.channels.csvshould be created before start. Expected columns:chname, degree, where chname is channel id, degree -- is the number of connected channels.
python scraper.py
https://antcating.github.io/telegram_connections_frontend/
- Please open issue before any pull request.
- All code contributions require forks
- Suggest features and ideas in discussions
- Feel free to develop it in your own way in your fork
Big thanks to @antcating for inspiration
And Bellingcat for snscrape