__author__ = 'Helium' # 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 # This is the method to parse the Description Pages (one page to each topic in the Listing Pages) def abyssForums_description_parser(soup): # Fields to be parsed topic = "-1" # 0 topic name user = [] # 1 all users of each post addDate = [] # 2 all dated of each post feedback = [] # 3 all feedbacks of each vendor (this was found in just one Forum and with a number format) status = [] # 4 all user's authority in each post such as (adm, member, dangerous) reputation = [] # 5 all users's karma in each post (usually found as a number) sign = [] # 6 all user's signature in each post (usually a standard message after the content of the post) post = [] # 7 all messages of each post interest = [] # 8 all user's interest in each post image_user = [] # 9 all user avatars of each post image_post = [] # 10 all first images of each post # Finding the topic (should be just one coming from the Listing Page) li = soup.find("div", {"class": "page-body"}).find("h2", {"class": "topic-title"}) topic = li.text.replace(",","") topic = topic.replace("\n","") topic = cleanString(topic.strip()) regex = re.compile('post has-profile.*') posts = soup.find_all('div', {"class": regex}) # print(len(posts)) # For each message (post), get all the fields we are interested to: for ipost in posts: # Finding the author (user) of the post author = ipost.find('a', {"class": "username"}).text user.append(cleanString(author)) # Remember to clean the problematic characters status.append("-1") reputation.append("-1") interest.append("-1") sign.append("-1") feedback.append("-1") image_post.append("-1") img = ipost.find('dl', {"class": "postprofile"}).find('img') if img is not None: img = img.get('src').split('base64,')[-1] else: img = "-1" image_user.append(img) image_user.append("-1") date_time_obj = ipost.find('time').attrs date = date_time_obj['datetime'][0:10] time = date_time_obj['datetime'][11:19] date_time_obj = datetime.strptime(date + " " + time, '%Y-%m-%d %H:%M:%S') addDate.append(date_time_obj) # Finding the post inner = ipost.find('div', {"class": "content"}) inner = inner.text.strip() post.append(cleanString(inner)) # 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 abyssForums_listing_parser(soup: BeautifulSoup): nm = 0 # this variable should receive the number of topics forum = "AbyssForum" # 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 addDate = [] # when the topic was created (difficult to find) image_author = [] # 8 all author avatars used in each topic # Listing and Description pages) #finding the board board = soup.find("h2", {"class": "forum-title"}).text board = cleanString(board.strip()) type_of_posts = soup.find_all("li", {"class": re.compile("row bg\d")} ) for literature in type_of_posts: title_of_post = literature.find("a", {"class": "topictitle"}).text title_of_post = cleanString(title_of_post) topic.append(title_of_post) user = literature.find("div", {"class": "topic-poster responsive-hide left-box"}).find("a", {"class": "username"}).text author.append(user) num_post = literature.find("dd", {"class": "posts"}).text.replace("Replies","").strip() posts.append(num_post) num_view = literature.find("dd", {"class": "views"}).text.replace("Views","").strip() views.append(num_view) #if int(num_post) != 0: join the last user who posted with the author? # reply = literature.find("dd", {"class": "lastpost"}).find("a", {"class": "username"}).text # user.append(reply) date_time_obj = literature.find('time').attrs date = date_time_obj['datetime'][0:10] time = date_time_obj['datetime'][11:19] date_added = datetime.strptime(date + " " + time, '%Y-%m-%d %H:%M:%S') addDate.append(date_added) listing_href = literature.find("a", {"class": "topictitle"}).get("href") href.append(listing_href) image_author.append("-1") nm = len(topic) return organizeTopics( forum=forum, nm=nm, board=board, author=author, topic=topic, views=views, posts=posts, href=href, addDate=addDate, image_author=image_author ) def abyssForum_links_parser(soup): # Returning all links that should be visited by the Crawler href = [] #print(soup.find('table', {"class": "tborder clear"}).find( # 'tbody').find_all('tr', {"class": "inline_row"})) listing = soup.find_all('dl', {"class": "row-item topic_read"}) for a in listing: link = a.find('div', {"class": "list-inner"}).find('a').get('href') href.append(link) return href