You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
247 lines
9.0 KiB
247 lines
9.0 KiB
__author__ = 'DarkWeb'
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# Here, we are importing the auxiliary functions to clean or convert data
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from Forums.Utilities.utilities import *
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from datetime import date
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from datetime import timedelta
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import re
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# Here, we are importing BeautifulSoup to search through the HTML tree
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from bs4 import BeautifulSoup
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# This is the method to parse the Description Pages (one page to each topic in the Listing Pages)
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def cryptBB_description_parser(soup):
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# Fields to be parsed
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topic = "-1" # 0 *topic name
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user = [] # 1 *all users of each post
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status = [] # 2 all user's authority in each post such as (adm, member, dangerous)
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reputation = [] # 3 all user's karma in each post (usually found as a number)
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interest = [] # 4 all user's interest in each post
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sign = [] # 5 all user's signature in each post (usually a standard message after the content of the post)
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post = [] # 6 all messages of each post
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feedback = [] # 7 all feedbacks of each vendor (this was found in just one Forum and with a number format)
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addDate = [] # 8 all dates of each post
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# Finding the topic (should be just one coming from the Listing Page)
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li = soup.find("td", {"class": "thead"}).find('strong')
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topic = li.text
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topic = re.sub("\[\w*\]", '', topic)
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topic = topic.replace(",","")
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topic = topic.replace("\n","")
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topic = cleanString(topic.strip())
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# Finding the repeated tag that corresponds to the listing of posts
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# try:
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posts = soup.find('table', {"class": "tborder tfixed clear"}).find('td', {"id": "posts_container"}).find_all(
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'div', {"class": "post"})
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# For each message (post), get all the fields we are interested to:
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for ipost in posts:
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# Finding a first level of the HTML page
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post_wrapper = ipost.find('span', {"class": "largetext"})
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# Finding the author (user) of the post
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author = post_wrapper.text.strip()
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user.append(cleanString(author)) # Remember to clean the problematic characters
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# Finding the status of the author
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smalltext = ipost.find('div', {"class": "post_author"})
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'''
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# Testing here two possibilities to find this status and combine them
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if ipost.find('div', {"class": "deleted_post_author"}):
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status.append(-1)
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interest.append(-1)
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reputation.append(-1)
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addDate.append(-1)
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post.append("THIS POST HAS BEEN REMOVED!")
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sign.append(-1)
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feedback.append(-1)
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continue
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'''
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# CryptBB does have membergroup and postgroup
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membergroup = smalltext.find('div', {"class": "profile-rank"})
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postgroup = smalltext.find('div', {"class": "postgroup"})
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if membergroup != None:
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membergroup = membergroup.text.strip()
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if postgroup != None:
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postgroup = postgroup.text.strip()
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membergroup = membergroup + " - " + postgroup
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else:
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if postgroup != None:
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membergroup = postgroup.text.strip()
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else:
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membergroup = "-1"
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status.append(cleanString(membergroup))
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# Finding the interest of the author
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# CryptBB does not have blurb
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blurb = smalltext.find('li', {"class": "blurb"})
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if blurb != None:
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blurb = blurb.text.strip()
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else:
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blurb = "-1"
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interest.append(cleanString(blurb))
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# Finding the reputation of the user
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# CryptBB does have reputation
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author_stats = smalltext.find('div', {"class": "author_statistics"})
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karma = author_stats.find('strong')
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if karma != None:
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karma = karma.text
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karma = karma.replace("Community Rating: ", "")
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karma = karma.replace("Karma: ", "")
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karma = karma.strip()
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else:
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karma = "-1"
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reputation.append(cleanString(karma))
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# Getting here another good tag to find the post date, post content and users' signature
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postarea = ipost.find('div', {"class": "post_content"})
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dt = postarea.find('span', {"class": "post_date"}).text
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# dt = dt.strip().split()
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dt = dt.strip()
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day=date.today()
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if "Yesterday" in dt:
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yesterday = day - timedelta(days=1)
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yesterday = yesterday.strftime('%m-%d-%Y')
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stime = dt.replace('Yesterday,','').strip()
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date_time_obj = yesterday+ ', '+stime
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date_time_obj = datetime.strptime(date_time_obj,'%m-%d-%Y, %I:%M %p')
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elif "hours ago" in dt:
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day = day.strftime('%m-%d-%Y')
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date_time_obj = postarea.find('span', {"class": "post_date"}).find('span')['title']
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date_time_obj = datetime.strptime(date_time_obj, '%m-%d-%Y, %I:%M %p')
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else:
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date_time_obj = datetime.strptime(dt, '%m-%d-%Y, %I:%M %p')
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stime = date_time_obj.strftime('%b %d, %Y')
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sdate = date_time_obj.strftime('%I:%M %p')
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addDate.append(date_time_obj)
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# Finding the post
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inner = postarea.find('div', {"class": "post_body scaleimages"})
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inner = inner.text.strip()
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post.append(cleanString(inner))
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# Finding the user's signature
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# signature = ipost.find('div', {"class": "post_wrapper"}).find('div', {"class": "moderatorbar"}).find('div', {"class": "signature"})
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signature = ipost.find('div', {"class": "signature scaleimages"})
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if signature != None:
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signature = signature.text.strip()
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# print(signature)
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else:
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signature = "-1"
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sign.append(cleanString(signature))
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# As no information about user's feedback was found, just assign "-1" to the variable
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feedback.append("-1")
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# Populate the final variable (this should be a list with all fields scraped)
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row = (topic, user, status, reputation, interest, sign, post, feedback, addDate)
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# Sending the results
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return row
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# This is the method to parse the Listing Pages (one page with many posts)
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def cryptBB_listing_parser(soup):
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nm = 0 # *this variable should receive the number of topics
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forum = "OnniForums" # 0 *forum name
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board = "-1" # 1 *board name (the previous level of the topic in the Forum categorization tree.
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# For instance: Security/Malware/Tools to hack Facebook. The board here should be Malware)
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author = [] # 2 *all authors of each topic
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topic = [] # 3 *all topics
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views = [] # 4 number of views of each topic
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posts = [] # 5 number of posts of each topic
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href = [] # 6 this variable should receive all cleaned urls (we will use this to do the marge between
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# Listing and Description pages)
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addDate = [] # 7 when the topic was created (difficult to find)
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# Finding the board (should be just one)
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board = soup.find('span', {"class": "active"}).text
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board = cleanString(board.strip())
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# Finding the repeated tag that corresponds to the listing of topics
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itopics = soup.find_all('tr',{"class": "inline_row"})
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for itopic in itopics:
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# For each topic found, the structure to get the rest of the information can be of two types. Testing all of them
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# to don't miss any topic
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# Adding the topic to the topic list
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try:
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topics = itopic.find('span', {"class": "subject_old"}).find('a').text
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except:
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topics = itopic.find('span', {"class": "subject_new"}).find('a').text
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topics = re.sub("\[\w*\]", '', topics)
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topic.append(cleanString(topics))
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# Counting how many topics we have found so far
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nm = len(topic)
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# Adding the url to the list of urls
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try:
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link = itopic.find('span', {"class": "subject_old"}).find('a').get('href')
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except:
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link = itopic.find('span',{"class": "subject_new"}).find('a').get('href')
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href.append(link)
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# Finding the author of the topic
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ps = itopic.find('div', {"class":"author smalltext"}).find('a').text
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user = ps.strip()
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author.append(cleanString(user))
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# Finding the number of replies
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columns = itopic.findChildren('td',recursive=False)
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replies = columns[3].text
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posts.append(cleanString(replies))
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# Finding the number of Views
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tview = columns[4].text
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views.append(cleanString(tview))
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# If no information about when the topic was added, just assign "-1" to the variable
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addDate.append("-1")
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return organizeTopics(forum, nm, board, author, topic, views, posts, href, addDate)
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def libre_links_parser(soup):
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# Returning all links that should be visited by the Crawler
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href = []
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listing = soup.find_all('div', {"class": "flex-grow p-2 text-justify"})
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for a in listing:
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link = a.find('div', {'class': 'flex space-x-2 items-center'}).find('a').get('href')
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href.append(link)
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return href
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