I did this for the first time yesterday. I wanted the links for ten specific tarot cards off this page[0]. Copied the source into ChatGPT, list the cards, get the result back.
I'm fast with Python scraping but for scraping one page ChatGPT was way, way faster. The biggest difference is it was quickly able to get the right links by context. The suit wasn't part of the link but was the header. In code I'd have to find that context and make it explicit.
It's a super simple html site, but I'm not exactly sure which direction that tips the balances.
These kind of one-shot examples are exactly where this hit for me. I was in the middle of some research when I saw him post this and it completely changed my approach to gathering the ad-hoc data I needed.
I'm fast with Python scraping but for scraping one page ChatGPT was way, way faster. The biggest difference is it was quickly able to get the right links by context. The suit wasn't part of the link but was the header. In code I'd have to find that context and make it explicit.
It's a super simple html site, but I'm not exactly sure which direction that tips the balances.
[0]http://www.learntarot.com/cards.htm