from bs4 import BeautifulSoup
import requests
import csv
class Parse():
def __init__(self):
self.row_list = []
self.base_url ='https://www.tripadvisor.co.uk'
def parse(self,url): # correct
headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/90.0.4430.93 Safari/537.36 Edg/90.0.818.51'}
response = requests.get(url,headers).text
soup = BeautifulSoup(response,'html.parser')
next_link = soup.find('a',class_='_23XJjgWS _1hF7hP_9 _2QvUxWyA')
next_page = self.base_url+next_link.attrs['href']
cards = soup.find_all('section',class_='_2TabEHya _3YhIe-Un')
for card in cards:
name = card.find('div',class_='_1gpq3zsA _1zP41Z7X').text
rating = str(card.find('svg',class_='zWXXYhVR'))
rating = self.remove(filter_col=rating)
review_count = card.find('span',class_='DrjyGw-P _26S7gyB4 _14_buatE _1dimhEoy').text
status = card.find('div',class_='DrjyGw-P _26S7gyB4 _3SccQt-T').text
row_list = [name,rating,status,review_count]
return next_page,row_list
def remove(self,filter_col):
rating = filter_col.split(' ')[1]
rating = rating[-3:]
return rating
def write_csv(self,row_list):
with open('top_sites.csv','w') as file:
csv_writer = csv.writer(file, delimiter=',')
csv_writer.writerows(row_list)
if __name__=='__main__':
url = "https://www.tripadvisor.co.uk/Attractions-g294190-Activities-oa30-Myanmar.html"
parsing = Parse()
next_url,row_list = parsing.parse(url=url)
print(next_url)
PS C:\Users\Caspe\PycharmProjects\Selenium Test> & "c:/Users/Caspe/PycharmProjects/Selenium Test/.venv/Scripts/python.exe" "c:/Users/Caspe/PycharmProjects/Selenium Test/Demo/tripadvisor_topattract.py"
https://www.tripadvisor.co.uk/Attractions-g294190-Activities-Myanmar.html
PS C:\Users\Caspe\PycharmProjects\Selenium Test>
I'm trying to scrape data from TripAdvisor Website using BeautifulSoup. Link: https://www.tripadvisor.co.uk/Attractions-g294190-Activities-oa30-Myanmar.html Instead of going to next page, the link is repeated itself. Is there a solution for my problem? I've selected the correct selector for the soup and I was able to scrape data.
