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259 lines
9.6 KiB
259 lines
9.6 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 incogsnoo_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 ***$ author
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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 users's karma in each post (usually found as a number) ??? ups
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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 user (this was found in just one Forum and with a number format)
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addDate = [] # 8 all dated of each post ***$ created
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image_user = [] # 9 all user avatars of each post
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image_post = [] # 10 all first images of each post
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# Finding the topic (should be just one coming from the Listing Page)
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topic = soup.find("div", {"class": "title"}).find("h2").text
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topic = topic.replace('"', '')
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topic = cleanString(topic.strip())
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# the first post's html is separated from all subsequent comments/replies/posts to the first post
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# so parse the first post by itself first
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# Finding body of first post
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post_text = soup.find("div", {"class": "md"})
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if post_text:
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post_text = post_text.text.strip()
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post.append(cleanString(post_text))
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else: # some posts just links to other sites/articles/videos and have no text by itself
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post_link = soup.find("div", {"class": "title"}).find("a").get("href")
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post_link = cleanLink(post_link)
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post.append(post_link)
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# User
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p_tag = soup.find("p", {"class": "submitted"})
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author = p_tag.find("a")
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if author:
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author = author.text.strip()
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elif "[deleted]" in p_tag.text:
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author = "deleted"
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else:
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author = "-1"
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user.append(cleanString(author))
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# Finding the status of the author
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status.append("-1")
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# Finding the reputation of the user
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reputation.append("-1")
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# Finding the interest of the author
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interest.append("-1")
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# Finding signature
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sign.append("-1")
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# Finding feedback
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upvote = soup.find("div", {"class": "score"}).find("span")
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if upvote:
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upvote = upvote.text.strip()
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else:
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upvote = "-1"
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feedback.append(cleanString(upvote))
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# Finding the date of the post - e.g. "Fri, 18 December 2023 05:49:20 GMT"
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dt = soup.find("p", {"class": "submitted"}).find("span")["title"]
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# Convert to datetime object - e.g. 2023-12-18 05:49:20
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date_time_obj = datetime.strptime(dt, '%a, %d %b %Y %H:%M:%S %Z')
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# sdate = date_time_obj.strftime('%m %d %Y')
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# stime = date_time_obj.strftime('%I:%M %p')
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# date = convertDate(sdate, "english", datetime.now()) + " " + stime
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# e.g. "12/18/2023 05:49 AM"
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addDate.append(date_time_obj)
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image_user.append("-1")
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image_post.append("-1")
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posts = soup.find("div", {"class": "comments"}).findAll("details")
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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 user
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p_tag = ipost.find("p", {"class": "author"})
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author = p_tag.find("a")
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if author:
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author = author.text.strip()
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elif "[deleted]" in p_tag.text:
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author = "deleted"
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else:
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author = "-1"
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user.append(cleanString(author))
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# Finding the status of the author
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status.append("-1")
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# Finding the reputation of the user
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reputation.append("-1")
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# Finding the interest of the author
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interest.append("-1")
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# Finding signature
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sign.append("-1")
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# Finding the post
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comment = ipost.find("div", {"class": "md"})
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if comment:
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comment = comment.text.strip()
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else:
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comment = "-1"
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post.append(cleanString(comment))
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# Finding feedback
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upvote = ipost.find("p", {"class": "ups"})
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if upvote:
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upvote = upvote.text.strip().split()[0]
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else:
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upvote = "-1"
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feedback.append(cleanString(upvote))
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# Finding the date of the post - e.g. "Fri, 18 December 2023 05:49:20 GMT"
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dt = ipost.find("p", {"class": "created"})["title"]
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# Convert to datetime object - e.g. 2023-12-18 05:49:20
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date_time_obj = datetime.strptime(dt, '%a, %d %b %Y %H:%M:%S %Z')
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# sdate = date_time_obj.strftime('%m %d %Y')
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# stime = date_time_obj.strftime('%I:%M %p')
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# date = convertDate(sdate, "english", datetime.now()) + " " + stime
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# e.g. "12/18/2023 05:49 AM"
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addDate.append(date_time_obj)
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image_user.append("-1")
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image_post.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, image_user, image_post)
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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 incogsnoo_listing_parser(soup):
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nm = 0 # *this variable should receive the number of topics
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forum = "Incogsnoo" # 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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image_author = [] # 8 all author avatars used in each topic
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# Finding the board (should be just one)
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board = soup.find("a", {"class": "subreddit"}).find("h2")
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board = cleanString(board.text.strip())
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# Finding the repeated tag that corresponds to the listing of topics
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itopics = soup.find("div", {"id": "links", "class": "sr"}).findAll("div", {"class": "link"})
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itopics.pop()
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# Counting how many topics we have found so far
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nm = len(itopics)
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index = 0
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for itopic in itopics:
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# Finding the author of the topic
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p_tag = itopic.find("p", {"class": "submitted"})
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user = p_tag.find("a")
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if user:
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user = user.text.strip()
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elif "[deleted]" in p_tag.text:
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user = "deleted"
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else:
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user = "-1"
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author.append(cleanString(user))
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# Adding the topic to the topic list
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topic_title = itopic.find("div", {"class": "title"}).find("h2").text
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topic.append(cleanString(topic_title))
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# Finding the number of Views
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views.append("-1")
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# Finding the number of posts
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comments = itopic.find("a", {"class": "comments"}).text
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number_comments = comments.split()[0]
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posts.append(cleanString(number_comments))
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# Adding the url to the list of urls
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link = itopic.find("a", {"class": "comments"}).get("href")
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href.append(link)
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# Finding dates
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p_tag = itopic.find("p", {"class": "submitted"})
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dt = p_tag.find("span")["title"]
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date_time_obj = datetime.strptime(dt,'%a, %d %b %Y %H:%M:%S %Z')
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# sdate = date_time_obj.strftime('%m %d %Y')
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# stime = date_time_obj.strftime('%I:%M %p')
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# date = convertDate(sdate, "english", datetime.now()) + " " + stime
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# e.g. "12/18/2023 05:49 AM"
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addDate.append(date_time_obj)
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image_author.append("-1")
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index += 1
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return organizeTopics(forum, nm, board, author, topic, views, posts, href, addDate, image_author)
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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 incogsnoo_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_parent = soup.find("div", {"id": "links", "class": "sr"})
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listing = listing_parent.findAll("div", {"class": "entry"})
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for entry in listing:
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parent_div = entry.find("div", {"class": "meta"}).find("div", {"class", "links"})
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a_tag = parent_div.find("a", {"class", "comments"})
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if a_tag:
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href.append(a_tag.get("href"))
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return href
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