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228 lines
8.8 KiB
228 lines
8.8 KiB
__author__ = 'DarkWeb'
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# Here, we are importing the auxiliary functions to clean or convert data
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from MarketPlaces.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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#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 darkmatter_description_parser(soup):
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# Fields to be parsed
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vendor = "-1" # 0 *Vendor_Name
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success = "-1" # 1 Vendor_Successful_Transactions
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rating_vendor = "-1" # 2 Vendor_Rating
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name = "-1" # 3 *Product_Name
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describe = "-1" # 4 Product_Description
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CVE = "-1" # 5 Product_CVE_Classification (Common Vulnerabilities and Exposures)
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MS = "-1" # 6 Product_MS_Classification (Microsoft Security)
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category = "-1" # 7 Product_Category
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views = "-1" # 8 Product_Number_Of_Views
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reviews = "-1" # 9 Product_Number_Of_Reviews
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rating_item = "-1" # 10 Product_Rating
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addDate = "-1" # 11 Product_AddedDate
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BTC = "-1" # 12 Product_BTC_SellingPrice
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USD = "-1" # 13 Product_USD_SellingPrice
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EURO = "-1" # 14 Product_EURO_SellingPrice
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sold = "-1" # 15 Product_QuantitySold
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left = "-1" # 16 Product_QuantityLeft
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shipFrom = "-1" # 17 Product_ShippedFrom
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shipTo = "-1" # 18 Product_ShippedTo
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vendor = "-1" # 0 *Vendor_Name
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success = "-1" # 1 Vendor_Successful_Transactions
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rating_vendor = "-1" # 2 Vendor_Rating
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# product name
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try:
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name = soup.find('head').find('title').text
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name = cleanString(name.strip())
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except:
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print("name")
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#product description
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try:
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temp = soup.find('pre', {'class', 'description'}).text
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temp = temp.replace('\n', ' ')
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describe = cleanString(temp.strip())
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except:
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print("description")
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CVE = "-1" # 5 Product_CVE_Classification (Common Vulnerabilities and Exposures)
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MS = "-1" # 6 Product_MS_Classification (Microsoft Security)
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category = "-1" # 7 Product_Category
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views = "-1" # 8 Product_Number_Of_Views
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reviews = "-1" # 9 Product_Number_Of_Reviews
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rating_item = "-1" # 10 Product_Rating
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addDate = "-1" # 11 Product_AddedDate
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BTC = "-1" # 12 Product_BTC_SellingPrice
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USD = "-1" # 13 Product_USD_SellingPrice
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EURO = "-1" # 14 Product_EURO_SellingPrice
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sold = "-1" # 15 Product_QuantitySold
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left = "-1" # 16 Product_QuantityLeft
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shipFrom = "-1" # 17 Product_ShippedFrom
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shipTo = "-1" # 18 Product_ShippedTo
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# Populating the final variable (this should be a list with all fields scraped)
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row = (vendor, rating_vendor, success, name, describe, CVE, MS, category, views, reviews, rating_item, addDate,
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BTC, USD, EURO, sold, left, shipFrom, shipTo)
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# Sending the results
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return row
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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 darkmatter_listing_parser(soup):
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# Fields to be parsed
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nm = 0 # Total_Products (Should be Integer)
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mktName = "DarkMatter" # 0 Marketplace_Name
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name = [] # 1 Product_Name
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CVE = [] # 2 Product_CVE_Classification (Common Vulnerabilities and Exposures)
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MS = [] # 3 Product_MS_Classification (Microsoft Security)
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category = [] # 4 Product_Category
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describe = [] # 5 Product_Description
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escrow = [] # 6 Vendor_Warranty
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views = [] # 7 Product_Number_Of_Views
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reviews = [] # 8 Product_Number_Of_Reviews
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addDate = [] # 9 Product_AddDate
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lastSeen = [] # 10 Product_LastViewDate
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BTC = [] # 11 Product_BTC_SellingPrice
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USD = [] # 12 Product_USD_SellingPrice
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EURO = [] # 13 Product_EURO_SellingPrice
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sold = [] # 14 Product_QuantitySold
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qLeft =[] # 15 Product_QuantityLeft
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shipFrom = [] # 16 Product_ShippedFrom
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shipTo = [] # 17 Product_ShippedTo
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vendor = [] # 18 Vendor
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rating = [] # 19 Vendor_Rating
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success = [] # 20 Vendor_Successful_Transactions
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href = [] # 23 Product_Links (Urls)
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listing = soup.findAll('div', {"class": "card"})
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# Populating the Number of Products
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nm = len(listing)
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for a in listing:
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bae = a.findAll('a', href=True)
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# Adding the url to the list of urls
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link = bae[0].get('href')
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link = cleanLink(link)
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href.append(link)
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# Finding the Product
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product = bae[1].find('p').text
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product = product.replace('\n', ' ')
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product = product.replace(",", "")
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product = product.replace("...", "")
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product = product.strip()
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name.append(product)
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bae = a.find('div', {'class': "media-content"}).find('div').find_all('div')
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if len(bae) >= 5:
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# Finding Prices
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price = bae[0].text
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ud = price.replace(" USD", " ")
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# u = ud.replace("$","")
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u = ud.replace(",", "")
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u = u.strip()
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USD.append(u)
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# bc = (prc[1]).strip(' BTC')
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# BTC.append(bc)
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# Finding the Vendor
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vendor_name = bae[1].find('a').text
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vendor_name = vendor_name.replace(",", "")
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vendor_name = vendor_name.strip()
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vendor.append(vendor_name)
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# Finding the Category
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cat = bae[2].find('small').text
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cat = cat.replace("Category: ", "")
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cat = cat.replace(",", "")
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cat = cat.strip()
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category.append(cat)
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# Finding Number Sold and Quantity Left
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num = bae[3].text
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num = num.replace("Sold: ", "")
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num = num.strip()
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sold.append(num)
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quant = bae[4].find('small').text
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quant = quant.replace("In stock: ", "")
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quant = quant.strip()
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qLeft.append(quant)
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# Finding Successful Transactions
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freq = bae[1].text
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freq = freq.replace(vendor_name, "")
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freq = re.sub(r'Vendor Level \d+', "", freq)
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freq = freq.replace("(", "")
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freq = freq.replace(")", "")
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freq = freq.strip()
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success.append(freq)
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# Searching for CVE and MS categories
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cve = a.findAll(text=re.compile('CVE-\d{4}-\d{4}'))
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if not cve:
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cveValue="-1"
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else:
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cee = " "
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for idx in cve:
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cee += (idx)
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cee += " "
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cee = cee.replace(',', ' ')
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cee = cee.replace('\n', '')
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cveValue=cee
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CVE.append(cveValue)
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ms = a.findAll(text=re.compile('MS\d{2}-\d{3}'))
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if not ms:
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MSValue="-1"
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else:
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me = " "
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for im in ms:
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me += (im)
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me += " "
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me = me.replace(',', ' ')
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me = me.replace('\n', '')
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MSValue=me
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MS.append(MSValue)
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# Populate the final variable (this should be a list with all fields scraped)
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return organizeProducts(mktName, nm, name, CVE, MS, category, describe, escrow, views, reviews, addDate, lastSeen,
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BTC, USD, EURO, qLeft, shipFrom, shipTo, vendor, rating, success, sold, 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 darkmatter_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": "content"}).findAll('td', {"class": "lefted", 'colspan': '3'})
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for a in listing:
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bae = a.find('a', 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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