Yo, fellow scraper!
First, yeah, bs4 + requests is the baseline. But sometimes Jupyter acts up—restart the kernel if things get weird.
For parsing, `lxml` is faster but needs to be installed (`pip install lxml`). If you’re lazy, `html.parser` is built-in but slower.
Slow scraping? Try caching the HTML locally so you don’t re-fetch it every time. Save it to a file and reload as needed.
Here’s a dumb but effective hack: wrap your soup stuff in a `try-except` block so the notebook doesn’t die on errors.
First, yeah, bs4 + requests is the baseline. But sometimes Jupyter acts up—restart the kernel if things get weird.
For parsing, `lxml` is faster but needs to be installed (`pip install lxml`). If you’re lazy, `html.parser` is built-in but slower.
Slow scraping? Try caching the HTML locally so you don’t re-fetch it every time. Save it to a file and reload as needed.
Here’s a dumb but effective hack: wrap your soup stuff in a `try-except` block so the notebook doesn’t die on errors.