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- __author__ = 'DarkWeb'
-
- # Here, we are importing the auxiliary functions to clean or convert data
- from Forums.Utilities.utilities import *
- from datetime import date
- from datetime import timedelta
- import re
-
- # Here, we are importing BeautifulSoup to search through the HTML tree
- from bs4 import BeautifulSoup, ResultSet, Tag
-
- # This is the method to parse the Description Pages (one page to each topic in the Listing Pages)
-
-
- def cardingleaks_description_parser(soup: Tag):
-
- # Fields to be parsed
-
- topic = "-1" # 0 *topic name
- user = [] # 1 *all users of each post
- status = [] # 2 all user's authority in each post such as (adm, member, dangerous)
- reputation = [] # 3 all user's karma in each post (usually found as a number)
- interest = [] # 4 all user's interest in each post
- sign = [] # 5 all user's signature in each post (usually a standard message after the content of the post)
- post = [] # 6 all messages of each post
- feedback = [] # 7 all feedbacks of each vendor (this was found in just one Forum and with a number format)
- addDate = [] # 8 all dates of each post
- image_user = [] # 9 all user avatars of each post
- image_post = [] # 10 all first images of each post
-
- li = soup.find("h1", {"class": "p-title-value"})
- topic = cleanString(li.text.strip())
-
- post_list: ResultSet[Tag] = soup.find("div", {"class": "block-body js-replyNewMessageContainer"}).find_all("article", {"data-author": True})
-
- for ipost in post_list:
- username = ipost.get('data-author')
- user.append(username)
-
- user_status = ipost.find("h5", {"class": "userTitle message-userTitle"}).text
- status.append(cleanString(user_status.strip()))
-
- user_statistics: ResultSet[Tag] = ipost.find("div", {"class": "message-userExtras"}).find_all("dl", {"class": "pairs pairs--justified"})
-
- user_reputation = "-1"
-
- for stat in user_statistics:
- data_type = stat.find("span").get("data-original-title")
- if data_type == "Points":
- user_reputation = stat.find("dd").text
- break
-
- reputation.append(cleanString(user_reputation.strip()))
-
- interest.append("-1")
-
- sign.append("-1")
-
- user_post = ipost.find("div", {"class": "message-content js-messageContent"}).text
- post.append(cleanString(user_post.strip()))
-
- feedback.append("-1")
-
- datetime_text = ipost.find("ul", {"class": "message-attribution-main listInline"}).find("time").get("datetime")
- datetime_obj = datetime.strptime(datetime_text, "%Y-%m-%dT%H:%M:%S%z")
- addDate.append(datetime_obj)
-
- img = ipost.find('div', {"class": "message-content js-messageContent"}).find('img')
- if img is not None:
- img = img.get('src').split('base64,')[-1]
- else:
- img = "-1"
- image_post.append(img)
-
- img = ipost.find('div', {"class": "message-avatar"}).find('img')
- if img is not None:
- img = img.get('src').split('base64,')[-1]
- else:
- img = "-1"
- image_user.append(img)
-
- # Populate the final variable (this should be a list with all fields scraped)
-
- row = (topic, user, status, reputation, interest, sign, post, feedback, addDate, image_user, image_post)
-
- # Sending the results
-
- return row
-
- # This is the method to parse the Listing Pages (one page with many posts)
-
- def cardingleaks_listing_parser(soup: Tag):
-
- nm = 0 # *this variable should receive the number of topics
- forum = "Cardingleaks" # 0 *forum name
- board = "-1" # 1 *board name (the previous level of the topic in the Forum categorization tree.
- # For instance: Security/Malware/Tools to hack Facebook. The board here should be Malware)
- author = [] # 2 *all authors of each topic
- topic = [] # 3 *all topics
- views = [] # 4 number of views of each topic
- posts = [] # 5 number of posts of each topic
- href = [] # 6 this variable should receive all cleaned urls (we will use this to do the marge between
- # Listing and Description pages)
- addDate = [] # 7 when the topic was created (difficult to find)
- image_user = [] # 8 all user avatars used in each topic
-
- # Finding the board (should be just one)
-
- li = soup.find("h1", {"class": "p-title-value"})
- board = cleanString(li.text.strip())
-
- thread_list = soup.find('div', {"class": "structItemContainer-group structItemContainer-group--sticky"}).find_all('div', {"data-author": True}) + \
- soup.find("div", {"class": "structItemContainer-group js-threadList"}).find_all("div", {"data-author": True})
-
- nm = len(thread_list)
-
- for thread in thread_list:
- thread_author = thread.get("data-author")
- author.append(thread_author)
-
- thread_topic = thread.find("div", {"class": "structItem-title"}).text
- topic.append(cleanString(thread_topic.strip()))
-
- author_icon = thread.find("a", {"class": "avatar avatar--s"})
- if author_icon is not None:
- author_icon = author_icon.find('img').get('src')
- author_icon = author_icon.split('base64,')[-1]
- image_user.append(author_icon)
- else:
- image_user.append('-1')
-
- thread_view = thread.find("dl", {"class": "pairs pairs--justified structItem-minor"}).find("dd").text
- # Context text view count (i.e., 8.8K) to numerical (i.e., 8800)
- if thread_view.find("K") > 0:
- thread_view = str(int(float(thread_view.replace("K", "")) * 1000))
- views.append(thread_view)
-
- thread_posts = thread.find("dl", {"class": "pairs pairs--justified"}).find("dd").text
- posts.append(cleanString(thread_posts.strip()))
-
- thread_href = thread.find("div", {"class": "structItem-title"}).find("a").get("href")
- href.append(thread_href)
-
- thread_date = thread.find("li", {"class": "structItem-startDate"}).find("time").get("datetime")
- datetime_obj = datetime.strptime(thread_date, "%Y-%m-%dT%H:%M:%S%z")
- addDate.append(datetime_obj)
-
- return organizeTopics(forum, nm, board, author, topic, views, posts, href, addDate, image_user)
-
-
- def cardingleaks_links_parser(soup):
- # Returning all links that should be visited by the Crawler
- href = []
- listing = soup.find_all('div', {"class": "structItem-title"})
-
- for a in listing:
- link = a.find('a').get('href')
-
- href.append(link)
-
- return href
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