I'm looking at this URL. https://en.wikipedia.org/wiki/Wikipedia:Unusual_place_names
If I hit F12 I can see tags such as these: <a title= <a class= And so on and so forth. I'm wondering if someone can share a script, or a function, that will allow me to pass in variables and download (or simply print) the results. I saw a sample online that I thought would work, and I made a few modifications but now I keep getting a message that says: ValueError: All objects passed were None Here's the script that I'm playing around with. import requests import pandas as pd from bs4 import BeautifulSoup #Get the relevant webpage set the data up for parsing url = "https://en.wikipedia.org/wiki/Wikipedia:Unusual_place_names"; r = requests.get(url) soup=BeautifulSoup(r.content,"lxml") #set up a function to parse the "soup" for each category of information and put it in a DataFrame def get_match_info(soup,tag,class_name): info_array=[] for info in soup.find_all('%s'%tag,attrs={'class':'%s'%class_name}): return pd.DataFrame(info_array) #for each category pass the above function the relevant information i.e. tag names tag1 = get_match_info(soup,"td","title") tag2 = get_match_info(soup,"td","class") #Concatenate the DataFrames to present a final table of all the above info match_info = pd.concat([tag1,tag2],ignore_index=False,axis=1) print match_info I'd greatly appreciate any help with this. -- https://mail.python.org/mailman/listinfo/python-list
