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271 lines
11 KiB
271 lines
11 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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# 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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#parses description pages, so takes html pages of description pages using soup object, and parses it for info it needs
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#stores info it needs in different lists, these lists are returned after being organized
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#@param: soup object looking at html page of description page
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#return: 'row' that contains a variety of lists that each hold info on the description page
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def bestcardingworld_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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addDate = [] # 2 all dated of each post
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feedback = [] # 3 all feedbacks of each user (this was found in just one Forum and with a number format)
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status = [] # 4 all user's authority in each post such as (adm, member, dangerous)
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reputation = [] # 5 all users's karma in each post (usually found as a number)
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sign = [] # 6 all user's signature in each post (usually a standard message after the content of the post)
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post = [] # 7 all messages of each post
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interest = [] # 8 all user's interest in 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("h2", {"class": "topic-title"})
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topic = li.text
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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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# posts = soup.find("form", {"name": "quickModForm"}).findAll('div', {"class": "windowbg"}) + \
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# soup.find("form", {"name": "quickModForm"}).findAll('div', {"class": "windowbg2"})
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posts = soup.findAll('div', {"class": "post has-profile bg2"}) + \
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soup.findAll('div', {"class": "post has-profile bg1"})
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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('div', {"class": "post_wrapper"}).find('div', {"class": "poster"})
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post_wrapper = ipost.find('a', {"class": "username-coloured"})
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# Finding the author (user) of the post
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#author = post_wrapper.find('h4')
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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('dl', {"class": "postprofile"})
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# Testing here two possibilities to find this status and combine them
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# BestCarding does not have membergroup and postgroup
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membergroup = smalltext.find('li', {"class": "membergroup"})
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postgroup = smalltext.find('li', {"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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# BestCarding 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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# BestCarding does not have karma
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karma = smalltext.find('li', {"class": "karma"})
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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": "inner"})
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dt = ipost.find('p', {"class": "author"}).text.split('»')[1]
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#dt = dt.strip().split()
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dt = dt.strip()
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date_time_obj = datetime.strptime(dt, '%a %b %d, %Y %I:%M %p')
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stime = date_time_obj.strftime('%a %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 date of the post
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# date_time_obj = datetime.strptime(dt, '%a %b %d, %Y %I:%M %p')
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# smalltext = postarea.find('div', {"class": "flow_hidden"}).find('div', {"class": "keyinfo"})\
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# .find('div', {"class": "smalltext"})
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# sdatetime = smalltext.text
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# sdatetime = sdatetime.replace(u"\xab","") # Removing unnecessary characters
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# sdatetime = sdatetime.replace(u"\xbb","") # Removing unnecessary characters
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# sdatetime = sdatetime.split("on: ") # Removing unnecessary characters
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# sdatetime = sdatetime[1].strip()
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# stime = sdatetime[:-12:-1] # Finding the time of the post
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# stime = stime[::-1]
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# sdate = sdatetime.replace(stime,"") # Finding the date of the post
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# sdate = sdate.replace(",","")
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# sdate = sdate.strip()
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# Covert the date of the post that can be informed as: "12 February 2016", "today", "yesterday". We need
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# a date format here as "mm/dd/yyyy"
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#addDate.append(convertDate(sdate,"english", crawlerDate) + " " + stime)
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# Finding the post
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inner = postarea.find('div', {"class": "content"})
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inner = inner.text.strip()
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post.append(cleanString(inner))
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# Finding the users'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": "post_wrapper"})
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if signature != None:
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signature = signature.text.strip()
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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 users'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, post, user, addDate, feedback, status, reputation, sign, interest)
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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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#parses listing pages, so takes html pages of listing pages using soup object, and parses it for info it needs
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#stores info it needs in different lists, these lists are returned after being organized
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#@param: soup object looking at html page of listing page
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#return: 'row' that contains a variety of lists that each hold info on the listing page
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def bestcardingworld_listing_parser(soup):
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nm = 0 # this variable should receive the number of topics
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topic = [] # 1 all topics
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board = "-1" # 2 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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view = [] # 3 number of views of each topic
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post = [] # 4 number of posts of each topic
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user = [] # 5 all users of each topic
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addDate = [] # 6 when the topic was created (difficult to find)
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href = [] # 16 this variable should receive all cleaned urls (we will use this to do the marge between Listing and Description pages)
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# Finding the board (should be just one)
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parents = soup.find('ul', {"class": "linklist navlinks"}).findAll('a')
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board = parents[1].text + u"->" + parents[2].text
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board = board.replace(u"\xbb","")
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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('ul', {"class": "topiclist topics"}).findAll('div',{"class": "list-inner"})
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replies = soup.find('ul', {"class": "topiclist topics"}).findAll('dd',{"class": "posts"})
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views = soup.find('ul', {"class": "topiclist topics"}).findAll('dd',{"class": "views"})
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index = 0
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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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# tds = itopic.findAll('td', {"class": "subject stickybg2"})
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#
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# if len(tds) > 0:
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# tag.append("strong")
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# tag.append("subject stickybg2")
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# tag.append("stats stickybg")
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# else:
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# tds = itopic.findAll('td', {"class": "subject windowbg2"})
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# if len(tds) > 0:
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# tag.append("span")
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# tag.append("subject windowbg2")
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# tag.append("stats windowbg")
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# Adding the topic to the topic list
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topics = itopic.find('a', {"class": "topictitle"}).text
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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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link = itopic.find('a', {"class": "topictitle"}).get('href')
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link = cleanLink(link)
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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":"responsive-hide"}).find('a', {"class": "username-coloured"}).text
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author = ps.strip()
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user.append(cleanString(author))
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# Finding the number of replies
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posts = replies[index].text.split()[0]
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posts = posts.strip()
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post.append(cleanString(posts))
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# Finding the number of Views
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tview = views[index].text.split()[0]
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tview = tview.strip()
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view.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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#CryptBB doesn't show when topic was first posted on listing page
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dt = itopic.find('div', {"class": "responsive-hide"}).text.split('»')[1]
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dt = dt.strip()
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date_time_obj = datetime.strptime(dt,'%a %b %d, %Y %I:%M %p')
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addDate.append(date_time_obj)
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#addDate.append("-1")
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index += 1
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return organizeTopics("BestCardingWorld", nm, topic, board, view, post, user, addDate, href)
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#called by the crawler to get description links on a listing page
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#@param: beautifulsoup object that is using the correct html page (listing page)
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#return: list of description links from a listing page
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def bestcardingworld_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('div', {"class": "forumbg"}).find('ul', {"class": "topiclist topics"}).findAll('li', {"class": "row bg1"}) + \
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soup.find('div', {"class": "forumbg"}).find('ul', {"class": "topiclist topics"}).findAll('li', {"class": "row bg2"})
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for a in listing:
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bae = a.find('a', {"class": "topictitle"}, href=True)
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link = bae['href']
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href.append(link)
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return href
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