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get_foodpanda_olo.py
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get_foodpanda_olo.py
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import requests
from bs4 import BeautifulSoup
import pandas as pd
import datetime
from requests.packages.urllib3.exceptions import InsecureRequestWarning
requests.packages.urllib3.disable_warnings(InsecureRequestWarning)
# Get all foodpanda orders
def get_foodpanda_orders(orders, cookie):
url = "https://www.foodpanda.sg/orders"
cookies = {
'cookie': cookie
}
resp = requests.get(url, cookies=cookies)
html = resp.content
soup = BeautifulSoup(html, 'html.parser')
order_entry = soup.findAll('li')
order_entry = list(set(order_entry))
for order in order_entry:
if order is not None:
order_plc_date = order.find("h4", {"class": "vendor-name"})
if order_plc_date is not None:
vendor = order_plc_date.getText().strip().replace("\n", "").split(",", 1)[0]
order_date = order_plc_date.find("span", {"class": "order-date"}).getText().strip()
order_date = datetime.datetime.strptime(order_date, "%d %b, %Y")
else:
continue
bill = order.find("div", {"class": "total"})
if bill is not None:
cost = bill.getText().replace(" ", "").replace("\n", "").split(':')[1]
contents = order.find("ul", {"class": "order-product-list"})
if contents is not None:
food = contents.getText().split("\n")
items = [i.strip() for i in food if i.strip()]
orders.append({'Restaurant': vendor, 'Date': order_date,
'Cost': cost, 'Items': items,
'Service': 'foodpanda'})
return orders
if __name__ == "__main__":
# Store all orders in a list
orders = []
# Store cookies for all your users in this python list
# If only 1 user then just place cookie for that user
cookies = ['cookies for user 1', 'cookies for user 2']
# Get foodpanda order for all users
for cookie in cookies:
foodpanda_orders = get_foodpanda_orders(orders, cookie)
# Convert orders to pandas dataframe
df = pd.DataFrame(orders)
# Export dataframe into csv file
df.to_csv("foodpanda_orders.csv", index=False)