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143 lines
5.3 KiB
143 lines
5.3 KiB
__author__ = 'Helium'
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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, ResultSet, Tag
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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 procrax_description_parser(soup: Tag):
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# Fields to be parsed
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topic = "-1" # topic name
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user = [] # all users of each post
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addDate = [] # all dated of each post
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feedback = [] # all feedbacks of each vendor (this was found in just one Forum and with a number format)
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status = [] # all user's authority in each post such as (adm, member, dangerous)
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reputation = [] # all user's karma in each post (usually found as a number)
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sign = [] # all user's signature in each post (usually a standard message after the content of the post)
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post = [] # all messages of each post
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interest = [] # 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("h1", {"class": "p-title-value"})
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topic = li.text
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thread: ResultSet[Tag] = soup.find("div", {"class": "block-body js-replyNewMessageContainer"}).find_all("article", {"data-author": True})
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for ipost in thread:
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username = ipost.find("h4", {"class": "message-name"}).text
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user.append(cleanString(username.strip()))
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date_posted = ipost.find("ul", {"class": "message-attribution-main listInline"}).find("time").get("datetime")
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datetime_obj = datetime.strptime(date_posted, "%Y-%m-%dT%H:%M:%S%z")
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addDate.append(datetime_obj)
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feedback.append("-1")
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user_status = ipost.find("h5", {"class": "userTitle message-userTitle"}).text
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status.append(cleanString(user_status.strip()))
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user_lvl = ipost.find("div", {"class": "afAwardLevel"}).text
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reputation.append(cleanString(user_lvl.strip()))
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sign.append("-1")
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user_post = ipost.find("article", {"class": "message-body js-selectToQuote"}).text
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post.append(cleanString(user_post.strip()))
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interest.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 procrax_listing_parser(soup: Tag):
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board = "-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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nm = 0 # this variable should receive the number of topics
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topic = [] # all topics
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author = [] # all authors of each topic
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views = [] # number of views of each topic
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posts = [] # number of posts of each topic
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addDate = [] # when the topic was created (difficult to find)
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href = [] # 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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# Finding the board (should be just one)
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li = soup.find("h1", {"class": "p-title-value"})
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board = cleanString(li.text.strip())
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threads_list: ResultSet[Tag] = soup.find("div", {"class": "structItemContainer-group js-threadList"}).find_all("div", {"data-author": True})
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nm = len(threads_list)
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for thread in threads_list:
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thread_title = thread.find("div", {"class": "structItem-title"}).text
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topic.append(cleanString(thread_title.strip()))
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thread_author = thread.get("data-author")
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author.append(cleanString(thread_author))
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thread_views = thread.find("dl", {"class": "pairs pairs--justified structItem-minor"}).find('dd').text
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views.append(cleanString(thread_views.strip()))
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thread_replies = thread.find("dl", {"class": "pairs pairs--justified"}).find('dd').text
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# All threads contain one topic post and reply posts
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thread_total_posts = str(1 + int(thread_replies))
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posts.append(thread_total_posts)
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thread_date = thread.find("li", {"class": "structItem-startDate"}).find("time").get("datetime")
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datetime_obj = datetime.strptime(thread_date, "%Y-%m-%dT%H:%M:%S%z")
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addDate.append(datetime_obj)
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thread_link: str = thread.find("div", {"class": "structItem-title"}).find('a').get('href')
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href.append(thread_link)
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return organizeTopics(
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forum="Procrax",
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nm=nm,
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board=board,
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author=author,
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topic=topic,
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views=views,
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posts=posts,
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addDate=addDate,
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href=href
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)
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def procrax_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": "structItem-title"})
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for a in listing:
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link = a.find('a', {'class': ''}).get('href')
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href.append(link)
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return href
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