使用Python遍历不同的网页

Question

I am currently following a course in Big Data but do not understand much of it. For an assignment, I would like to find out which topics are discussed on the TripAdvisor-forum about Amsterdam. I want to create a CSV-file including the topic, the author and the amount of replies per topic. Some questions:

1. How can a make a list of all the topics? I checked the website-source for all the pages and the topic is always stated behind 'onclick="setPID(34603)' and ends with </a> . I tried '(re.findall(r'onclick="setPID(34603)">(.*?)</a>' , post)' but it's not working.
2. The replies are not given in the commentsection, but in a separate row on the page. How can I make a loop and append all the replies to a new variable?
3. How do I loop over the first 20 pages? The URL in my code only includes the 1st page, giving 20 topics.
4. Do I create the CSV file before or after the looping?

Here is my code:

from urllib import request
import re
import csv

topiclist=[]
metalist=[]

req = request.Request('https://www.tripadvisor.com/ShowForum-g188590-i60- 
Amsterdam_North_Holland_Province.html', headers={'User-Agent' : 
"Mozilla/5.0"})

tekst=request.urlopen(req).read()
tekst=tekst.decode(encoding="utf-8",errors="ignore").replace("\n"," ")
.replace("\t"," ")


topicsection=re.findall(r'<b><a(.*?)</div>',tekst)

topic=[]
for post in topicsection:
   topic.append(re.findall(r'onclick="setPID(34603)">(.*?)</a>', post)


author=[]
for post in topicsection: 
   author.append(re.findall(r'<a href="/members-forums/.*?">(.*?)</a>', 
   post))

replies=re.findall(r'<td class="reply rowentry.*?">(.*?)</td>',tekst)

Answer 1

Don't use regular expressions to parse HTML. Use an html parser such as beautifulsoup.

eg -

from bs4 import BeautifulSoup
import requests

r = requests.get("https://www.tripadvisor.com/ShowForum-g188590-i60-Amsterdam_North_Holland_Province.html")
soup = BeautifulSoup(r.content, "html.parser") #or another parser such as lxml
topics = soup.find_all("a", {'onclick': 'setPID(34603)'})
#do stuff