I’m currently taking a course on Python, and I’ve been learning web scraping with BeautifulSoup and Selenium. My situation is a bit unique and time-sensitive, so I’m reaching out to this amazing community for some assistance.

Couldn’t get the elements on the page (tried to get the “h2″s).

I’m new to web scraping and python. For my project, I’m trying to scrap the # of the comment. There is already a num next to each comment on the website.

I tried to web scraping from this website https://circlechart.kr/page_chart/album.circle?serviceGbn=year&termGbn=year&hitYear=2012&targetTime=2012&nationGbn=T&year_time=3 to get the artist song, name, and the sales. But from the codes i wrote below, i do get the artist name and song, but the sales didn’t show up in my csv file. This file is important for me to complete my midterm. I hope anyone can help me

I tried to web scraping from this website https://circlechart.kr/page_chart/album.circle?serviceGbn=year&termGbn=year&hitYear=2012&targetTime=2012&nationGbn=T&year_time=3 to get the artist song, name, and the sales. But from the codes i wrote below, i do get the artist name and song, but the sales didn’t show up in my csv file. This file is important for me to complete my midterm. I hope anyone can help me

I’m scrapping an e-commerce website with thousands of objects. BeautifulSoup with request does the stuff quick. But only to reveal the phone numbers (<a> tag with href references to js script) I have to use selenium running a web driver which becomes a bottleneck.
What effective method to make this kind of parsing relatively quick ? Mb some common approaches like multiprocessing?

I want to filter the Innovfest x Elevating Founders (Startup/Scaleup) category and scrape all the exhibitor names and booth number from here: https://asiatechxsg.com/exhibitors/

This is the element:

I am new to all these, but i want to make an amazon product detail scrapper.

I would like to scrape all exhibitors and booth numbers from this website: https://floorplan.live/interactive/shows/3100/views/8/plan