Options.add_experimental_option('excludeSwitches', ) # now loop through each url & perform actions. Mylist = df.tolist() #urls is the column name Once the url page is opened it clicks the Download button: def read_excel():ĭf = pd.read_excel('book.xlsx') # Get all the urls from the excel xlxs excel file for URLs and loop for each url. I make it work by using the Pandas module to read a. However, if you 'right-click -> copy-link' from the 'Download' button and you open it from a new-page or new-tab it will re-direct to the beatmaps page and not download the file. If you click the button you download the beatmap file which is a. The 'Download' button on each panel all have this HREF link. I put it in a text file and it looks like this. Kept having a hard time with elements disappearing from Page/DOM to make a 'for element in elements' work properly I decided to have it scroll multiple times to load more beatmaps and than scrape for HREF links with the word 'Download' in it and this worked great for capturing 'most' of the links.

I learned alot during this process->'Actions move_to_element (hover menu), Wait.until_clickable, Stale Element Exceptions, Scroll Page execute script(s). So I tried to create a python script which would click the download button on every beatmap panel. I did find that the 'most favourites' page in osu: have a good chunk of songs that I like or would play. Same with the unofficial mega packs you can find that have 20gigs of songs on a per year basis 2011,2012,2013,2013,etc. Noticed that the beatmap packages that are available officially in OSU have 98% songs I don't care for to play.

Beatmap download