dark_web_forums/MarketPlaces/Sonanza/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 sonanza_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
    image = "-1"                        # 19 Product_Image
    vendor_image = "-1"                 # 20 Vendor_Image

    listing = soup.find('div', {"id": "article_page"})

    # Finding the Product
    name = listing.find('div', {"class": "row box"}).text
    name = cleanString(name).strip()

    # Finding Product Image
    product_image = listing.find('img')
    product_image = product_image.get('src')
    product_image = product_image.split('base64,')[-1]
    image = product_image

    table = listing.find('div', {"class": "col-md-5"})

    # Finding Prices
    USD = table.find('span', {"class": "pr"}).text
    USD = USD.replace("$", "").strip()

    BTC = table.find_all('span', {"class": "pr1"})[1].text
    BTC = BTC.replace("BTC", "").strip()

    rows = table.find_all('p', {"class": "mb-0"})
    for row in rows:
        temp = row.text
        if "CATEGORY" in temp:
            category = temp.replace("CATEGORY :", "")
            category = cleanString(category).strip()
        elif "VENDOR LEVEL" in temp:
            rating_vendor = temp.replace("VENDOR LEVEL :", "")
            rating_vendor = cleanString(rating_vendor).strip()

    rows = listing.find_all('p', {"class": "mb-1"})
    for row in rows:
        temp = row.text
        if "VENDOR" in temp:
            vendor = temp.replace("VENDOR :", "")
            vendor = cleanString(vendor).strip()
        elif "SHIPS TO" in temp:
            shipTo = temp.replace("SHIPS TO :", "")
            shipTo = cleanString(shipTo).strip()
        elif "SOLD" in temp:
            sold = cleanNumbers(temp).strip()

    # Finding Product Description
    describe = listing.find('pre').text
    describe = cleanString(describe).strip()

    # Searching for CVE and MS categories
    cve = soup.findAll(text=re.compile('CVE-\d{4}-\d{4}'))
    if cve:
        CVE = " "
        for idx in cve:
            CVE += (idx)
            CVE += "  "
            CVE = CVE.replace(',', ' ')
            CVE = CVE.replace('\n', '')
    ms = soup.findAll(text=re.compile('MS\d{2}-\d{3}'))
    if ms:
        MS = " "
        for im in ms:
            MS += (im)
            MS += " "
            MS = MS.replace(',', ' ')
            MS = MS.replace('\n', '')

    # 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, image, vendor_image)

    # 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 sonanza_listing_parser(soup):

    # Fields to be parsed
    nm = 0  # *Total_Products (Should be Integer)
    mktName = "Sonanza"                     # 0 *Marketplace_Name
    vendor = []                               # 1 *Vendor y
    rating_vendor = []                        # 2 Vendor_Rating
    success = []                              # 3 Vendor_Successful_Transactions
    name = []                                 # 4 *Product_Name y
    CVE = []                                  # 5 Product_CVE_Classification (Common Vulnerabilities and Exposures) dont worry about this
    MS = []                                   # 6 Product_MS_Classification (Microsoft Security) dont worry about this
    category = []                             # 7 Product_Category y
    describe = []                             # 8 Product_Description
    views = []                                # 9 Product_Number_Of_Views
    reviews = []                              # 10 Product_Number_Of_Reviews
    rating_item = []                          # 11 Product_Rating
    addDate = []                              # 12 Product_AddDate
    BTC = []                                  # 13 Product_BTC_SellingPrice
    USD = []                                  # 14 Product_USD_SellingPrice y
    EURO = []                                 # 15 Product_EURO_SellingPrice
    sold = []                                 # 16 Product_QuantitySold
    qLeft = []                                # 17 Product_QuantityLeft
    shipFrom = []                             # 18 Product_ShippedFrom
    shipTo = []                               # 19 Product_ShippedTo
    image = []                                # 20 Product_Image
    image_vendor = []                         # 21 Vendor_Image
    href = []                                 # 22 Product_Links

    listings = soup.findAll('div', {"class": "col-sm-4 col-md-3"})

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

    for listing in listings:

        # Adding the url to the list of urls
        bae = listing.find('a', href=True)
        link = bae.get('href')
        href.append(link)

        # Finding Product Image
        product_image = listing.find('img')
        product_image = product_image.get('src')
        product_image = product_image.split('base64,')[-1]
        image.append(product_image)

        # Finding the Product
        product = listing.find('h5', {"class": "art_title"}).text
        product = cleanString(product)
        name.append(product.strip())

        # Finding Prices
        price = listing.find('span', {"class": "priceP"}).text
        price = price.replace("$", "")
        USD.append(price.strip())

        rows = listing.find_all('p', {"class": "mb-0 card-text"})
        for row in rows:
            temp = row.text
            if "CATEGORY" in temp:
                cat = temp.replace("CATEGORY :", "")
                cat = cleanString(cat)
                category.append(cat.strip())
            elif "VENDOR" in temp:
                vendor_name = temp.replace("VENDOR :", "")
                vendor_name = cleanString(vendor_name)
                vendor.append(vendor_name.strip())

        # Finding Vendor Rating
        rating = listing.find('span', {"class": "badge badge-info"}).text
        rating = rating.replace("VENDOR LEVEL :", "")
        rating = cleanString(rating)
        rating_vendor.append(rating.strip())

        # Searching for CVE and MS categories
        cve = listing.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 = listing.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, vendor, rating_vendor, success, name, CVE, MS, category, describe, views,
                            reviews, rating_item, addDate, BTC, USD, EURO, sold, qLeft, shipFrom, shipTo, href, image, image_vendor)


# 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 sonanza_links_parser(soup):
    # Returning all links that should be visited by the Crawler

    href = []
    listings = soup.findAll('div', {"class": "col-sm-4 col-md-3"})

    for listing in listings:
        a = listing.find('a', href=True)

        # Adding the url to the list of urls
        link = a.get('href')
        href.append(link)

    return href