#create a dataframe from the lists
    df = pd.DataFrame({'outcomes':o,'bet_price':b, 'title':t})
    #add a field for the current timestamp
    df['date'] = now
    #replace "EVEN" with zero and store data as a float
    df['bet_price']=df['bet_price'].replace('EVEN', '0')
    df.bet_price = df.bet_price.astype(float)

    #append this dataframe we created with our historical data
    try:
        df = in_df.append(df)
    except Exception:
        pass

    #save off the file, overwriting the existing
    df.to_csv(file, index = None)
    df = pd.read_csv(file)

    #close the browser
    browser.close()

    #return the dataframe so it can be used for visualization and data analysis
    return df