Does Python allow variables to be passed into function for dynamic screen scraping?

[ryguy7272]

On Saturday, November 28, 2015 at 5:28:55 PM UTC-5, Laura Creighton wrote:
> In a message of Sat, 28 Nov 2015 14:03:10 -0800, ryguy7272 writes:
> >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.
> 
> Post your error traceback.  If you are getting Value Errors about None,
> then probably something you expect to return a match, isn't.  But without
> the actual error, we cannot help much.
> 
> Laura


Ok.  How do I post the error traceback?  I'm using Spyder Python 2.7.