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Since your df is just using a default range index, I suggest ignoring the index column with index=False when saving:

df.to_csv('data.csv', index=False)

Otherwise whenever someone tries to load your data with read_csv('data.csv'), they'll run into the common and annoying "Unnamed: 0" issue:

How to get rid of "Unnamed: 0" column in a pandas DataFrame read in from CSV file?

I have a situation wherein sometimes when I read a csv from df, I get an unwanted index-like column named Unnamed: 0.

This is very annoying! Does anyone have an idea on how to get rid of this?

Yes, they can fix it by specifying read_csv('data.csv', index_col=0), but it's just an unnecessary annoyance that can be circumvented at save time.

Also some formatting nits:

• Don't use spaces around default params (e.g., class_ = 'product_pod' -> class_='product_pod')
• Don't mix single/double quotes unless needed (e.g., "lxml" is double while everything else is single)
• Use a space after commas (e.g., range and data.append have some missing spaces)