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- __author__ = 'DarkWeb'
-
- # Here, we are importing the auxiliary functions to clean or convert data
- from MarketPlaces.Utilities.utilities import *
-
- def darkdock_description_parser(soup):
- """Parses the description pages of a DarkDock marketplace.
-
- It takes a BeautifulSoup object that represents the HTML page of a description page, and
- extracts various information such as vendor name, product name, etc.
-
- Args:
- soup: A BeautifulSoup object that represents the HTML page of a description page.
-
- Returns:
- The row of a description item as a tuple containing the information fields extracted from the description page.
- """
- 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
-
- # Finding Vendor
- vendor = soup.select_one('table tr:nth-of-type(2) td:nth-of-type(3) a u').text
- vendor = cleanString(vendor)
- vendor = vendor.strip()
-
- # Finding Product Name
- headings = soup.find('div', {'class': 'main'}).find_all('div', {'class': 'heading'})
- name = headings[0].text
- name = cleanString(name)
- name = name.strip()
-
- # Finding the Product description
- describe = soup.find('div', {'class': 'tab1'}).text
- describe = cleanString(describe)
- describe = describe.strip()
-
- # Finding the Product category
- category = soup.select_one('table tr:nth-of-type(6) td:nth-of-type(3)').text
- category = cleanString(category)
- category = category.strip()
-
- # Finding Number of Product Reviews
- reviews = headings[1].text
- match = re.search(r'\((\d+)\)', reviews).group(1)
- reviews = cleanNumbers(reviews)
- reviews = reviews.strip()
-
- # Finding Prices
- USD = soup.select_one('table tr:nth-of-type(1) td:nth-of-type(3)').text
- USD = cleanNumbers(USD)
- USD = USD.strip()
-
- # Finding the Product Quantity Available
- left = soup.select_one('table tr:nth-of-type(7) td:nth-of-type(3)').text
- left = cleanNumbers(left)
- left = left.strip()
-
- # Finding Product Shipped From
- shipFrom = soup.select_one('table tr:nth-of-type(3) td:nth-of-type(3)').text
- shipFrom = cleanString(shipFrom)
- shipFrom = shipFrom.strip()
-
- # Finding Product Shipped To
- shipTo = soup.select_one('table tr:nth-of-type(5) td:nth-of-type(3)').text
- shipTo = cleanString(shipTo)
- shipTo = shipTo.strip()
-
- # Finding Product Image
- image = soup.find('img', {'class': 'bigthumbnail'}).get('src')
- image = image.split('base64,')[-1]
-
- # 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 darkdock_listing_parser(soup):
- """Parses the listing pages of a DarkDock marketplace.
-
- It takes a BeautifulSoup object that represents the HTML page of a listing page,
- and extracts various information such as vendor name, product name, etc. It then
- removes and cleans the extracted information by passing it to the organizeProducts
- function.
-
- Args:
- soup: A BeautifulSoup object that represents the HTML page of a listing page.
-
- Returns:
- The row of a description item as a tuple containing the information fields extracted from the listing page.
- """
- # Fields to be parsed
- nm = 0 # Total_Products (Should be Integer)
- mktName = "DarkDock" # 0 Marketplace_Name
- vendor = [] # 1 Vendor
- rating_vendor = [] # 2 Vendor_Rating
- success = [] # 3 Vendor_Successful_Transactions
- name = [] # 4 Product_Name
- 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
- 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
- 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': 'item'})
-
- # Populating the Number of Products
- nm = len(listings)
- cat = soup.find('div', {'class': 'heading'}).text
- cat = cleanString(cat)
- cat = cat.strip()
-
- for listing in listings:
- # Finding the Vendor
- vendor_name = listing.find('div', {'class': 'seller'}).text
- vendor.append(vendor_name)
-
- # Finding the Product
- product = listing.find('div', {'class': 'title'}).text
- product = cleanString(product)
- product = product.strip()
- name.append(product)
-
- # Finding the Category
- category.append(cat)
-
- # Finding description
- description = listing.find('div', {'class': 'description'}).text
- description = cleanString(description)
- description = description.strip()
- describe.append(description)
-
- # Finding product views
- num_view = listing.select_one('.stats table tr:nth-of-type(3) td:nth-of-type(1)').text
- num_view = cleanNumbers(num_view)
- num_view = num_view.strip()
- views.append(num_view)
-
- # Finding product reviews
- num_reviews = listing.select_one('.stats table tr:nth-of-type(3) td:nth-of-type(3)').text
- num_reviews = cleanNumbers(num_reviews)
- num_reviews = num_reviews.strip()
- reviews.append(num_reviews)
-
- # Finding product rating based on width style
- rating = listing.find('div', {'class': 'stars2'}).get('style')
- rating = re.findall(r"\d+\.\d+|\d+", rating)[0]
- rating = cleanNumbers(rating)
- rating = rating.strip()
- rating_item.append(rating)
-
- # Finding Prices
- price = listing.find('div', {'class': 'price'}).text
- price = price.strip()
- USD.append(price)
-
- # Finding number of times product is sold
- num_sold = listing.select_one('.stats table tr:nth-of-type(3) td:nth-of-type(2)').text
- num_sold = cleanNumbers(num_sold)
- num_sold = num_sold.strip()
- sold.append(num_sold)
-
- # Finding shipping locations
- shipping = listing.find('div',{'class': 'shipping'}).text
- shippedFrom, shippedTo = cleanString(shipping).split(' > ')
- shipTo.append(shippedTo)
- shipFrom.append(shippedFrom)
-
- # Adding the url to the list of urls
- link = listing.find('a', recursive=False).get('href')
- href.append(link)
-
- image_vendor.append("-1")
-
- 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)
-
- def darkdock_links_parser(soup):
- """Returns a list of description links from a listing page.
-
- It takes a BeautifulSoup object that represents the HTML page of a listing page, and
- extracts all the description links from the page.
-
- Args:
- soup: A BeautifulSoup object that represents the HTML page of a listing page.
-
- Returns:
- A list of description links from a listing page.
- """
-
- # Returning all links that should be visited by the Crawler
-
- href = []
- listing = soup.find_all('a', href=lambda href: href and '/product/' in href)
-
- for a in listing:
- href.append(a['href'])
-
- return href
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