Similar goal, different approach. I wrote RSS reader, that captures link meta from various RSS sources. The meta data are exported every day. I have different r

Similar goal, different approach. I wrote RSS reader, that captures link meta from various RSS sources. The meta data are exported every day. I have different repositories for bookmarks, different for daily links, different for 'known domains'. Written in Django. I can always go back, parse saved data. If web page is not available, I fall back to Internet Archive. - https://github.com/rumca-js/Django-link-archive https://github.com/rumca-js/Django-link-archive - RSS reader / web scraper - https://github.com/rumca-js/RSS-Link-Database https://github.com/rumca-js/RSS-Link-Database - bookmarks I found interesting - https://github.com/rumca-js/RSS-Link-Database-2024 https://github.com/rumca-js/RSS-Link-Database-2024 - every day storage - https://github.com/rumca-js/Internet-Places-Database https://github.com/rumca-js/Internet-Places-Database - internet domains found on the internet After creating python package for web communication, that replaces requests for me, which uses sometimes selenium I wrote also CLI interface to read RSS sources from commandline: https://github.com/rumca-js/yafr https://github.com/rumca-js/yafr