dark_web_forums/MarketPlaces/DarkMatter/parser.py

__author__ = 'DarkWeb'

# Here, we are importing the auxiliary functions to clean or convert data
from MarketPlaces.Utilities.utilities import *

# Here, we are importing BeautifulSoup to search through the HTML tree
from bs4 import BeautifulSoup


#parses description pages, so takes html pages of description pages using soup object, and parses it for info it needs
#stores info it needs in different lists, these lists are returned after being organized
#@param: soup object looking at html page of description page
#return: 'row' that contains a variety of lists that each hold info on the description page
def darkmatter_description_parser(soup):

    # Fields to be parsed

    vendor = "-1"  # 0 *Vendor_Name
    success = "-1"  # 1 Vendor_Successful_Transactions
    rating_vendor = "-1"  # 2 Vendor_Rating
    name = "-1"  # 3 *Product_Name
    describe = "-1"  # 4 Product_Description
    CVE = "-1"  # 5 Product_CVE_Classification (Common Vulnerabilities and Exposures)
    MS = "-1"  # 6 Product_MS_Classification (Microsoft Security)
    category = "-1"  # 7 Product_Category
    views = "-1"  # 8 Product_Number_Of_Views
    reviews = "-1"  # 9 Product_Number_Of_Reviews
    rating_item = "-1"  # 10 Product_Rating
    addDate = "-1"  # 11 Product_AddedDate
    BTC = "-1"  # 12 Product_BTC_SellingPrice
    USD = "-1"  # 13 Product_USD_SellingPrice
    EURO = "-1"  # 14 Product_EURO_SellingPrice
    sold = "-1"  # 15 Product_QuantitySold
    left = "-1"  # 16 Product_QuantityLeft
    shipFrom = "-1"  # 17 Product_ShippedFrom
    shipTo = "-1"  # 18 Product_ShippedTo

    vendor = "-1"  # 0 *Vendor_Name
    success = "-1"  # 1 Vendor_Successful_Transactions
    rating_vendor = "-1"  # 2 Vendor_Rating


    # product name
    try:
        name = soup.find('head').find('title').text
        name = cleanString(name.strip())
    except:
        print("name")

    #product description
    try:
        temp = soup.find('pre', {'class', 'description'}).text
        temp = temp.replace('\n', ' ')
        describe = cleanString(temp.strip())
    except:
        print("description")



    CVE = "-1"  # 5 Product_CVE_Classification (Common Vulnerabilities and Exposures)
    MS = "-1"  # 6 Product_MS_Classification (Microsoft Security)
    category = "-1"  # 7 Product_Category
    views = "-1"  # 8 Product_Number_Of_Views
    reviews = "-1"  # 9 Product_Number_Of_Reviews
    rating_item = "-1"  # 10 Product_Rating
    addDate = "-1"  # 11 Product_AddedDate
    BTC = "-1"  # 12 Product_BTC_SellingPrice
    USD = "-1"  # 13 Product_USD_SellingPrice
    EURO = "-1"  # 14 Product_EURO_SellingPrice
    sold = "-1"  # 15 Product_QuantitySold
    left = "-1"  # 16 Product_QuantityLeft
    shipFrom = "-1"  # 17 Product_ShippedFrom
    shipTo = "-1"  # 18 Product_ShippedTo

    # Populating the final variable (this should be a list with all fields scraped)
    row = (vendor, rating_vendor, success, name, describe, CVE, MS, category, views, reviews, rating_item, addDate,
           BTC, USD, EURO, sold, left, shipFrom, shipTo)

    # Sending the results
    return row


#parses listing pages, so takes html pages of listing pages using soup object, and parses it for info it needs
#stores info it needs in different lists, these lists are returned after being organized
#@param: soup object looking at html page of listing page
#return: 'row' that contains a variety of lists that each hold info on the listing page
def darkmatter_listing_parser(soup):

    # Fields to be parsed
    nm = 0                                    # Total_Products (Should be Integer)
    mktName = "DarkMatter"                       # 0 Marketplace_Name
    name = []                                 # 1 Product_Name
    CVE = []                                  # 2 Product_CVE_Classification (Common Vulnerabilities and Exposures)
    MS = []                                   # 3 Product_MS_Classification (Microsoft Security)
    category = []                             # 4 Product_Category
    describe = []                             # 5 Product_Description
    escrow = []                               # 6 Vendor_Warranty
    views = []                                # 7 Product_Number_Of_Views
    reviews = []                              # 8 Product_Number_Of_Reviews
    addDate = []                              # 9 Product_AddDate
    lastSeen = []                             # 10 Product_LastViewDate
    BTC = []                                  # 11 Product_BTC_SellingPrice
    USD = []                                  # 12 Product_USD_SellingPrice
    EURO = []                                 # 13 Product_EURO_SellingPrice
    sold = []                                 # 14 Product_QuantitySold
    qLeft =[]                                 # 15 Product_QuantityLeft
    shipFrom = []                             # 16 Product_ShippedFrom
    shipTo = []                               # 17 Product_ShippedTo
    vendor = []                               # 18 Vendor
    rating = []                               # 19 Vendor_Rating
    success = []                              # 20 Vendor_Successful_Transactions
    href = []                                 # 23 Product_Links (Urls)

    listing = soup.findAll('div', {"class": "card"})

    # Populating the Number of Products
    nm = len(listing)

    for a in listing:
        bae = a.findAll('a', href=True)

        # Adding the url to the list of urls
        link = bae[0].get('href')
        link = cleanLink(link)
        href.append(link)

        # Finding the Product
        product = bae[1].find('p').text
        product = product.replace('\n', ' ')
        product = product.replace(",", "")
        product = product.replace("...", "")
        product = product.strip()
        name.append(product)

        bae = a.find('div', {'class': "media-content"}).find('div').find_all('div')

        if len(bae) >= 5:
            # Finding Prices
            price = bae[0].text
            ud = price.replace(" USD", " ")
            # u = ud.replace("$","")
            u = ud.replace(",", "")
            u = u.strip()
            USD.append(u)
            # bc = (prc[1]).strip(' BTC')
            # BTC.append(bc)

            # Finding the Vendor
            vendor_name = bae[1].find('a').text
            vendor_name = vendor_name.replace(",", "")
            vendor_name = vendor_name.strip()
            vendor.append(vendor_name)

            # Finding the Category
            cat = bae[2].find('small').text
            cat = cat.replace("Category: ", "")
            cat = cat.replace(",", "")
            cat = cat.strip()
            category.append(cat)

            # Finding Number Sold and Quantity Left
            num = bae[3].text
            num = num.replace("Sold: ", "")
            num = num.strip()
            sold.append(num)

            quant = bae[4].find('small').text
            quant = quant.replace("In stock: ", "")
            quant = quant.strip()
            qLeft.append(quant)

            # Finding Successful Transactions
            freq = bae[1].text
            freq = freq.replace(vendor_name, "")
            freq = re.sub(r'Vendor Level \d+', "", freq)
            freq = freq.replace("(", "")
            freq = freq.replace(")", "")
            freq = freq.strip()
            success.append(freq)

        # Searching for CVE and MS categories
        cve = a.findAll(text=re.compile('CVE-\d{4}-\d{4}'))
        if not cve:
            cveValue="-1"
        else:
            cee = " "
            for idx in cve:
                cee += (idx)
                cee += "  "
                cee = cee.replace(',', ' ')
                cee = cee.replace('\n', '')
            cveValue=cee
        CVE.append(cveValue)
        
        ms = a.findAll(text=re.compile('MS\d{2}-\d{3}'))
        if not ms:
            MSValue="-1"
        else:
            me = " "
            for im in ms:
                me += (im)
                me += " "
                me = me.replace(',', ' ')
                me = me.replace('\n', '')
            MSValue=me
        MS.append(MSValue)

    # Populate the final variable (this should be a list with all fields scraped)
    return organizeProducts(mktName, nm, name, CVE, MS, category, describe, escrow, views, reviews, addDate, lastSeen,
                     BTC, USD, EURO, qLeft, shipFrom, shipTo, vendor, rating, success, sold, href)


#called by the crawler to get description links on a listing page
#@param: beautifulsoup object that is using the correct html page (listing page)
#return: list of description links from a listing page
def darkmatter_links_parser(soup):

    # Returning all links that should be visited by the Crawler

    href = []
    listing = soup.find('div', {"class": "content"}).findAll('td', {"class": "lefted", 'colspan': '3'})

    for a in listing:
        bae = a.find('a', href=True)
        link = bae['href']
        href.append(link)

    return href