The TripAdvisor web page "Day Trips in Yellowstone National Park" lists the top things to do in the park. For your convenience the code to retrieve the contents of the first page of this list is provided below:

import requests

import re

import pandas as pd

from bs4 import BeautifulSoup

import cloudscraper

scraper = cloudscraper.create_scraper()

url = 'https://www.tripadvisor.com/Attraction_Products-g60999-t11889-zfg11867-Yellowstone_National_Park_Wyoming.html'

response = scraper.get(url)

if not response.status_code == 200:

None

try:

results_page = BeautifulSoup(response.content,'lxml')

except:

None

1.1 Use these contents to scrape the rank, name, rating, number of reviews & cost for each of the destinations on the first page and populate a dataframe with columns Rank, Name, Rating, #Reviews, Cost.

1.2 If your criteria for a day trip was the lowest cost destination that had a minimum of 50 reviews, how much would you have to spend? (You must apply the appropriate manipulations on the dataframe to arrive at your answer)

Hints:

To find a tag named 'foo' with attribute 'class' having a value that starts with 'Bar' use: find ('foo',{'class': re.compile('Bar.*')})

To extract the first number from a string mystring use: re.findall ('\d*', mystring)[0]