__author__ = 'DarkWeb'
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# Here, we are importing the auxiliary functions to clean or convert data
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from MarketPlaces.Utilities.utilities import *
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# Here, we are importing BeautifulSoup to search through the HTML tree
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from bs4 import BeautifulSoup
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# parses description pages, so takes html pages of description pages using soup object, and parses it for info it needs
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# stores info it needs in different lists, these lists are returned after being organized
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# @param: soup object looking at html page of description page
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# return: 'row' that contains a variety of lists that each hold info on the description page
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def darkbay_description_parser(soup):
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# Fields to be parsed
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vendor = "-1" # 0 *Vendor_Name
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success = "-1" # 1 Vendor_Successful_Transactions
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rating_vendor = "-1" # 2 Vendor_Rating
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name = "-1" # 3 *Product_Name
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describe = "-1" # 4 Product_Description
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CVE = "-1" # 5 Product_CVE_Classification (Common Vulnerabilities and Exposures)
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MS = "-1" # 6 Product_MS_Classification (Microsoft Security)
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category = "-1" # 7 Product_Category
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views = "-1" # 8 Product_Number_Of_Views
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reviews = "-1" # 9 Product_Number_Of_Reviews
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rating_item = "-1" # 10 Product_Rating
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addDate = "-1" # 11 Product_AddedDate
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BTC = "-1" # 12 Product_BTC_SellingPrice
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USD = "-1" # 13 Product_USD_SellingPrice
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EURO = "-1" # 14 Product_EURO_SellingPrice
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sold = "-1" # 15 Product_QuantitySold
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left = "-1" # 16 Product_QuantityLeft
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shipFrom = "-1" # 17 Product_ShippedFrom
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shipTo = "-1" # 18 Product_ShippedTo
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image = "-1" # 19 Product_Image
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vendor_image = "-1" # 20 Vendor_Image
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# vendor name
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vendor = soup.find('div', {'class', 'vendor'}).find('a').text
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# product name
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name = soup.find('h3').text
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# description
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describe = soup.find('div', {'class', 'description'}).text.replace('\n', ' ')
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# category
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category = soup.find('i', {'class', 'fas fa-folder'}).text
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# finding price
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money = soup.find('div', {'class', 'price'})
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BTC = money.find('span', {'class', 'btc'}).text.replace('$','')
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USD = money.find('span', {'class', 'usd'}).text.replace('₿','')
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if soup.find('div', {'class': 'instock many'}):
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left = soup.find('div', {'class': 'instock many'}).text
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if 'in stock' in left:
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left.replace('in stock', '').strip()
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if left == '':
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left = '-1'
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# ship to and ship from
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location = soup.find('dl', {'class': 'compact ships mb1'}).findAll('dd')
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shipFrom = location[0].text
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shipFrom = ''.join(c for c in shipFrom if c.isalnum())
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shipFrom = shipFrom.strip()
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shipFrom = cleanString(shipFrom)
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shipTo = location[1].text
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shipTo = ''.join(c for c in shipTo if c.isalnum())
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shipTo = shipTo.strip()
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# Finding Product Image
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if soup.find('div', {"class": 'product-photos'}):
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image = soup.find('div', {"class": 'product-photos'}).find('img')
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image = image.get('src')
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image = image.split('base64,')[-1]
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else:
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image = "-1"
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# Populating the final variable (this should be a list with all fields scraped)
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row = (vendor, rating_vendor, success, name, describe, CVE, MS, category, views, reviews, rating_item, addDate,
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BTC, USD, EURO, sold, left, shipFrom, shipTo, image, vendor_image)
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# Sending the results
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return row
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# parses listing pages, so takes html pages of listing pages using soup object, and parses it for info it needs
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# stores info it needs in different lists, these lists are returned after being organized
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# @param: soup object looking at html page of listing page
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# return: 'row' that contains a variety of lists that each hold info on the listing page
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def darkbay_listing_parser(soup):
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# Fields to be parsed
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nm = 0 # *Total_Products (Should be Integer)
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mktName = "DarkBay" # 0 *Marketplace_Name
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vendor = [] # 1 *Vendor y
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rating_vendor = [] # 2 Vendor_Rating
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success = [] # 3 Vendor_Successful_Transactions
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name = [] # 4 *Product_Name y
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CVE = [] # 5 Product_CVE_Classification (Common Vulnerabilities and Exposures) dont worry about this
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MS = [] # 6 Product_MS_Classification (Microsoft Security) dont worry about this
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category = [] # 7 Product_Category y
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describe = [] # 8 Product_Description
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views = [] # 9 Product_Number_Of_Views
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reviews = [] # 10 Product_Number_Of_Reviews
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rating_item = [] # 11 Product_Rating
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addDate = [] # 12 Product_AddDate
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BTC = [] # 13 Product_BTC_SellingPrice
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USD = [] # 14 Product_USD_SellingPrice y
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EURO = [] # 15 Product_EURO_SellingPrice
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sold = [] # 16 Product_QuantitySold
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qLeft = [] # 17 Product_QuantityLeft
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shipFrom = [] # 18 Product_ShippedFrom
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shipTo = [] # 19 Product_ShippedTo
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image = [] # 20 Product_Image
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image_vendor = [] # 21 Vendor_Image
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href = [] # 22 Product_Links
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cat = soup.find('div', {'class': 'path'}).findAll('a')
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listing = soup.find('div', {"class": 'items'}).findAll('form', {"action": '/cart'})
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# Populating the Number of Products
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nm = len(listing)
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for a in listing:
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category.append(cat[1].text)
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# Adding the url to the list of urls
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link = a.find('a').get('href')
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link = cleanLink(link)
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href.append(link)
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# Finding the Product name
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product = a.find('a').text
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product = product.replace('\n', ' ')
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product = product.replace(",", "")
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product = product.replace("...", "")
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product = product.strip()
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name.append(product)
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# Finding Product Image
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product_image = a.find('img')
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if product_image is not None:
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product_image = product_image.get('src')
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product_image = product_image.split('base64,')[-1]
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image.append(product_image)
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else:
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image.append('-1')
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# vendor name
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ven = a.find('div', {'class', 'vendor'}).find('a').text
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ven = cleanString(ven)
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vendor.append(ven)
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# find price in usd
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usd = a.find('div', {'class': 'price'}).text
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usd = usd.replace('$','')
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USD.append(usd)
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rating_vendor.append('-1')
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success.append('-1')
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CVE.append('-1')
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MS.append('-1')
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describe.append('-1')
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views.append('-1')
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reviews.append('-1')
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rating_item.append('-1')
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addDate.append('-1')
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BTC.append('-1')
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EURO.append('-1')
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sold.append('-1')
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qLeft.append('-1')
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shipFrom.append('-1')
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shipTo.append('-1')
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image_vendor.append('-1')
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# Populate the final variable (this should be a list with all fields scraped)
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return organizeProducts(mktName, nm, vendor, rating_vendor, success, name, CVE, MS, category, describe, views,
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reviews, rating_item, addDate, BTC, USD, EURO, sold, qLeft, shipFrom, shipTo, href, image, image_vendor)
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# called by the crawler to get description links on a listing page
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# @param: beautifulsoup object that is using the correct html page (listing page)
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# return: list of description links from a listing page
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def darkbay_links_parser(soup):
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# Returning all links that should be visited by the Crawler
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href = []
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listing = soup.find('div', {"class": "items"}).findAll('form', {'class':'item'})
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for a in listing:
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bae = a.findAll('a', href=True)
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# Adding the url to the list of urls
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link = bae[0].get('href')
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href.append(link)
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return href
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