#Joe says to try and except every time
import pandas as pd
dc_eats = pd.DataFrame(columns=["name","location","price","bookings"])
# loop through each entry
for entry in html.find_all('div', {'class':'result content-section-list-row cf with-times'}):
# grab the name
name = entry.find('span', {'class': 'rest-row-name-text'}).text
# grab the location
location = entry.find('span', {'class': 'rest-row-meta--location rest-row-meta-text'}).text
# grab the price
price = entry.find('div', {'class': 'rest-row-pricing'}).find('i').text.count('$') #can chain
# try to find the number of bookings
try:
temp = entry.find('div', {'class':'booking'}).text
match = re.search(r'\d+', temp)
if match:
bookings = match.group()
except:
bookings = 0
# add to df
dc_eats.loc[len(dc_eats)]=[name, location, price, bookings]