Please continue the following code:

import requests

from bs4 import BeautifulSoup

# Step 1: Download 1,000 most recent questions

url = "https://stackoverflow.com/questions?page=1&sort=newest"

response = requests.get(url)

soup = BeautifulSoup(response.text, "html.parser")

# Find the total number of pages

pages = int(soup.find("div", class_="s-pagination-item s-pagination-next").find_previous_sibling("a").get_text(strip=True))

# Loop over all the pages and extract the information for each question

for i in range(1, pages + 1):

url = f"https://stackoverflow.com/questions?page={i}&sort=newest"

response = requests.get(url)

soup = BeautifulSoup(response.text, "html.parser")

questions = soup.find_all("div", class_="js-post-wrapper")

for question in questions:

# Step 2.1: The title (str) and the ID (str) of the question.

title = question.find("a", class_="js-post-title").get_text(strip=True)

question_id = question.find("a", class_="js-post-title")["href"].split("/")[-1]

# Step 2.2: The name (str), the ID (str), and the reputation score (int) of the original poster.

poster = question.find("div", class_="js-post-meta").find("div").get_text(strip=True)

poster_id = question.find("div", class_="js-post-meta").find("div")["href"].split("/")[-1]

reputation = int(question.find("div", class_="js-post-meta").find("span").get_text(strip=True).replace(",", ""))

# Step 2.3: The time the question was posted (str)

time = question.find("div", class_="js-post-meta").find_all("div")[-1].get_text(strip=True)

# Step 2.4: The question score (int), the number of views (int), the number of answers (int), and whether an answer was accepted (bool).

score = int(question.find("span", class_="js-score").get_text(strip=True))

views = int(question.find("div", class_="js-post-meta").find_all("div")[2].get_text(strip=True).split(" ")[0].replace(",", ""))

answers = int(question.find("div", class_="js-post-meta").find_all("div")[3].get_text(strip=True).split(" ")[0].replace(",", ""))

accepted = question.find("span", class_="js-status").find("span") is not None

# Step 2.5: The question tags (str). A question may have at most five tags.

tags = [tag.get_text(strip=True) for tag in question.find_all("a", class_="js-post-tag")]

#Step 3: Store the data in a suitable data structure.

data = {

"title": title,

"question_id": question_id,

"poster": poster,

"poster_id": poster_id,

"reputation": reputation,

"time": time,

"score": score,

"views": views,

"answers": answers,

"accepted": accepted,

"tags": tags

}

#Step 4: Perform any additional processing or analysis on the data.

#Step 5: Save the data to disk or output it in some other form.

with open(f"stackoverflow_questions_{i}.json", "w") as f:

json.dump(data, f)

3. For each question on its own page, use BeautifulSoup to extract the following: 1. Whether the question has been edited since posting (bool). 2. The number of comments (int). 3. The score of the answer (int); the name (str), the ID (str), and the reputation score (int) of the poster; the number of comments (int) for each answer, and whether the answer was accepted (bool). 4. Using the standard CSV writer, save the collected data as two CSV files ( XXX is the name of the site assigned to your project). 1. The first file XXX-questions.csv contains the questions, one question per row. The column names are: Question_Title, Question_ID, Author_Name, Author_ID, Author_Rep, Question_Post_Time, Question_Score, Number_Of_Views, Number_Of_Answers, Number_Of_Comments, Edited, Answer_Accepted, Tag_1, Tag_2, ..., Tag_5 (use empty strings to represent non-specified tags), Question_Closed. 2. The second file XXX-answers.csv contains the answers, one answer per row. The column names are: Question_ID, Answer_Score, Author_Name, Author_ID, Author_Rep, Number_Of_Comments, Answer_Accepted