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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, ResultSet, Tag
-
-
- def apocalypse_description_parser(soup: Tag):
-
- # 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
-
- content: Tag = soup.find("div", {'id': "article_page"})
-
- product_name = content.find("p", {"class": "list-group-item text-center mb-0 box"}).text
- name = cleanString(product_name.strip())
-
- product_description = content.find("pre").text
- describe = cleanString(product_description.strip())
-
- # Finding Product Image
- image = soup.find('div', {'class': 'col-md-7 text-center'}).find('img')
- image = image.get('src').split('base64,')[-1]
-
- product_reviews_list: Tag = content.find("table", {"class": "table product_reviews"}) \
- .find_all("li")
-
- review = str(len(product_reviews_list))
-
- product_category = content.find("a", {"class": "badge badge-danger"}).text
- category = cleanString(product_category.strip())
-
- product_ships_from = content.find("span", {"class": "badge badge-info"}).text
- shipFrom = cleanString(product_ships_from.strip())
-
- product_success_badge: ResultSet[Tag] = content.find_all("span", {"class": "badge badge-success"})
- product_ships_to = product_success_badge[1].text
- shipTo = cleanString(product_ships_to.strip())
-
- product_supply = content.find("span", {"class": "badge badge-warning"}).text
- left = cleanString(product_supply.strip())
-
- product_primary_badge: ResultSet[Tag] = content.find_all("span", {"class": "badge badge-primary"})
-
- # Product vendor comes in the form of "@ vendor_name"
- product_vendor = product_primary_badge[0].text.replace("@", "")
-
- vendor = cleanString(product_vendor.strip())
- sold = cleanString(product_primary_badge[1].text.strip())
-
- product_prices: Tag = content.find("p", {"style": "border-bottom:1px solid GREY;"})
- USD = product_prices.find("span", {"class": "pr"}).text
- prices_array: ResultSet[Tag] = product_prices.find_all("span", {"class": "pr1"})
- BTC = prices_array[1].text
-
- # 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
-
-
- def apocalypse_listing_parser(soup: Tag):
-
- # Fields to be parsed
- nm = 0 # Total_Products (Should be Integer)
- mktName = "Apocalypse" # 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
- image = [] # 20 Product_Image
- image_vendor = [] # 21 Vendor_Image
- href = [] # 22 Product_Links
-
- listings: ResultSet[Tag] = soup.find("div", {"class": "col-lg-9 my-4"}).find_all("div", {"class": "col-lg-4 col-md-6 mb-1"})
-
- for prod in listings:
-
- product_name = prod.find('h5', {"class": "art_title"}).text
- name.append(cleanString(product_name.strip()))
-
- # Finding Product Image
- product_image = prod.find('img', {'class': 'customHeight'})
- product_image = product_image.get('src').split('base64,')[-1]
- image.append(product_image)
-
- CVE.append("-1")
- MS.append("-1")
- describe.append("-1")
- escrow.append("-1")
- reviews.append("-1")
- addDate.append("-1")
- lastSeen.append("-1")
- BTC.append("-1")
- EURO.append("-1")
- shipTo.append("-1")
- success.append("-1")
- image_vendor.append("-1")
-
- product_price = prod.find("span", {"class": "priceP"}).text
- USD.append(cleanString(product_price.strip()))
-
-
-
- product_sold = prod.find("span", {"class": "badge badge-success"}).text
- sold.append(cleanString(product_sold.strip()))
-
- product_statistics: ResultSet[Tag] = prod.find_all("p", {"class": "mb-0 card-text"})
-
- product_category = product_statistics[0].find("a").text
- category.append(cleanString(product_category.strip()))
-
- product_sold = product_statistics[1].find("span").text
- sold.append(cleanString(product_sold.strip()))
-
- product_quantity_left = product_statistics[2].find("span", {"class": "badge bluebadge"}).text
- qLeft.append(cleanString(product_quantity_left.strip()))
-
- product_views = product_statistics[3].find("span").text
- views.append(cleanString(product_views.strip()))
-
- product_ships_from = product_statistics[4].find("span").text
- shipFrom.append(cleanString(product_ships_from.strip()))
-
- product_vendor_tag: Tag = product_statistics[5].find("a").find("span", {"class": "badge badge-primary"})
- # Product vendors & ratings are displayed as "vender_name ★ 5.0"
- # When split by the star (★), it should return a 2-value array
- product_vendor, product_vendor_rating = product_vendor_tag.text.split("★")
-
-
- try:
- vendor.append(cleanString(product_vendor.strip()))
- rating.append(cleanString(product_vendor_rating.strip()))
- except Exception as e:
- raise e
-
- product_href = prod.find('a').get('href')
- href.append(product_href)
-
- nm += 1
-
-
- return organizeProducts(
- marketplace=mktName,
- nm=nm,
- vendor=vendor,
- rating_vendor=rating,
- success_vendor=success,
- nombre=name,
- CVE=CVE,
- MS=MS,
- category=category,
- describe=describe,
- views=views,
- reviews=reviews,
- rating_item=["-1" for _ in range(nm)],
- addDate=addDate,
- BTC=BTC,
- USD=USD,
- EURO=EURO,
- sold=sold,
- qLeft=qLeft,
- shipFrom=shipFrom,
- shipTo=shipTo,
- href=href,
- image=image,
- image_vendor=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 apocalypse_links_parser(soup):
-
- # Returning all links that should be visited by the Crawler
-
- href = []
- listing = soup.findAll('div', {"class": "col-lg-4 col-md-6 mb-1"})
-
- for a in listing:
- bae = a.find('a', href=True)
- link = bae['href']
- href.append(link)
-
- return href
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