Added incomplete parser for abacus manually

MarketPlaces/Abacus/parser.py

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+__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 abacus_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
+
+    product_info = soup.find('div', {'class': '2xl:self-start w-full h-full'})
+    about_vendor = soup.find('div', {'class': 'px-0.5 py-1 flex flex-col items-center gap-2 text-[13px]'})
+
+    try:
+        ven_temp = about_vendor.find('div', {'class': 'flex items-center gap-0.5'}).find('a').text
+        ven_temp_list = ven_temp.split(' ')
+        if len(ven_temp_list) > 1:
+            ven_temp_list = ven_temp_list[:-1]
+        ven_temp = ' '.join(ven_temp_list)
+        vendor = cleanString(ven_temp.strip())
+    except:
+        vendor = '-1'
+    print(vendor)
+
+    success = "-1"
+
+    try:
+        rating = about_vendor.find('div', {'class':'font-bold rounded px-2'}).text
+        rating_list = rating.split(' ')
+        rating = rating_list[0]
+        rating = rating.replace('%', '')
+    except:
+        rating = '-1'
+    rating_vendor = rating
+    print(rating_vendor)
+
+    name = product_info.find('div', {'class': 'w-full flex gap-0.5 items-center border-solid border-0 border-border border-b group-hover:border-abacus2 text-sm font-bold justify-center 2xl:justify-start py-1 leading-tight'})
+    name = cleanString(name.strip())
+    try:
+        description = soup.find('div', {'class': 'hidden gap-2 flex-col w-0 p-3 anim anim-FadeIn'}).find('div', {'class':'text-xs w-full text-left text-black'}).text
+        description = cleanString(description.strip())
+    except:
+        description = '-1'
+    describe = 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
+
+
+    # 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 abacus_listing_parser(soup):
+
+    # Fields to be parsed
+    nm = 0  # *Total_Products (Should be Integer)
+    mktName = "Abacus"                     # 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
+
+    cat = soup.find('span', {"class": "btn btn-sm btn-outline-dark w-100 active"}).text
+    cat = cleanString(cat).strip()
+
+    listing = soup.find('div', {"class": 'card-body text-black text-left bg-dark'}).findAll('div', {"class": 'card mb-4 border-danger rounded-0'})
+
+    # Populating the Number of Products
+    nm = len(listing)
+
+    for a in listing:
+
+        category.append(cat)
+
+        # Adding the url to the list of urls
+        link = a.find('a', {'class': "badge badge-danger w-100 text-white"}).get('href')
+        link = cleanLink(link)
+        href.append(link)
+
+        # Finding the Product name
+        product = a.find('div', {"class": 'marquee-parent'}).find('div', {"class": "marquee-child"}).text
+        product = product.replace('\n', ' ')
+        product = product.replace(",", "")
+        product = product.replace("...", "")
+        product = product.strip()
+        name.append(product)
+
+        # Finding Product Image
+        product_image = a.find('img')
+        product_image = product_image.get('src')
+        product_image = product_image.split('base64,')[-1]
+        image.append(product_image)
+
+        # Finding Prices
+        price = a.findAll('a', {"class": "text-white"})[-1].text
+        price = price.replace("$","")
+        price = price.strip()
+        USD.append(price)
+
+        # Finding Item Rating
+        temp = a.find('small', {"class": "text-white"})
+        rating = len(temp.findAll('i', {"class": "fas fa-star"}))
+        half_stars = len(temp.findAll('i', {'class': "fas fa-star-half-alt"}))
+        if half_stars > 0:
+            rating += 0.5
+        rating_item.append(str(rating))
+
+        # Finding the Vendor
+        vendor_name = a.find('a', {"class": 'badge badge-dark w-100 text-white my-1'}).text
+        vendor_name = vendor_name.replace(",", "")
+        vendor_name = vendor_name.strip()
+        vendor.append(vendor_name)
+        image_vendor.append("-1")
+
+        # 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, 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 abacus_links_parser(soup):
+    # Returning all links that should be visited by the Crawler
+
+    href = []
+    listing = soup.findAll('div', {"class": "src-listing p-1 pb-0 flex flex-col justify-between w-full rounded-md border-solid border-[1px] !border-border !bg-white hover:!bg-hover hover:!border-abacus2 !mt-0"})
+
+    for a in listing:
+        link = a.find('a', href=True).get('href')
+        href.append(link)
+
+    return href