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301 lines
12 KiB
301 lines
12 KiB
__author__ = 'cern'
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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 blackpyramid_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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# Finding Product Name
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name = soup.find('div', {'class': 'panel39002'}).find('span').next_sibling
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name = name.replace('\n', ' ')
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name = name.replace(",", "")
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name = name.strip()
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# Finding Product Rating
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rating_span = soup.find('span', {'class': 'to3098503t'}).find_next_sibling('span')
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rating_num = rating_span.find('b').text
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if rating_num != 'N/A':
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rating_item = rating_num[0:3]
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# product description
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describe = soup.findAll('div', {'class': 'fer048953'})[1].text
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describe = describe.replace('\n', ' ')
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describe = describe.replace(",", "")
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describe = describe.strip()
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# Finding Vendor
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vendor = soup.find('div', {'class': 'bold03905 vstat364'}).text
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vendor = vendor.split(" ")
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vendor = vendor[2][:-1]
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vendor = vendor.replace('\n', ' ')
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vendor = vendor.replace(",", "")
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vendor = vendor.strip()
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# Finding Product Rating
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rating_div = soup.find('div', {'class': 'bold03905 vstat364'}).find_next_sibling('div').find_next_sibling('div')
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rating_vendor = cleanNumbers(rating_div.text)
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if rating_vendor == "":
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rating_vendor = "-1"
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# Finding Successful Transactions
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success_container = soup.find('ul', {'class': 'ul3o00953'}).findAll('li')[1]
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success = success_container.find('div').text
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success = success.replace('"', '')
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success = success.replace("\n", " ")
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success = success.replace(",", "")
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success = success.strip()
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# Finding Prices
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USD_text = soup.find('li', {'class': 'vul2994 vghul995'}).find('div').text
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USD = USD_text.split(',')[1]
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USD = USD.replace('\n', ' ')
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USD = USD.replace(",", "")
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USD = USD.strip()
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container = soup.find('ul', {'class': 'bic03095'})
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# Finding Number Sold
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sold_container = container.find('li')
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sold_div = sold_container.findAll('div')[2]
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sold = sold_div.find('b').next_sibling
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sold = sold.replace('"', '')
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sold = sold.replace("\n", " ")
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sold = sold.replace(",", "")
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sold = sold.strip()
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# Finding the Product Quantity Available
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left_container = container.find('li')
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left_div = left_container.findAll('div')[3]
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left = left_div.find('b').next_sibling
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left = left.replace('"', '')
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left = left.replace("\n", " ")
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left = left.replace(",", "")
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left = left.strip()
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# Finding number of reviews
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positive = soup.find('span', {'class': 'ar04999324'}).text
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neutral = soup.find('span', {'class': 'ti9400005 can39953'}).text
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negative = soup.find('span', {'class': 'ti9400005 ti90088 can39953'}).text
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reviews = int(positive) + int(neutral) + int(negative)
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# Finding product image
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image = soup.find('img', {'class': 'img0390503'})
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image = image.get('src')
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image = image.split('base64,')[-1]
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vendor_image = soup.find('img', {'class': 'img0390503'})
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vendor_image = vendor_image.get('src')
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vendor_image = vendor_image.split('base64,')[-1]
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# Searching for CVE and MS categories
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cve = soup.findAll(text=re.compile('CVE-\d{4}-\d{4}'))
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if cve:
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CVE = " "
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for idx in cve:
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CVE += (idx)
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CVE += " "
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CVE = CVE.replace(',', ' ')
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CVE = CVE.replace('\n', '')
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ms = soup.findAll(text=re.compile('MS\d{2}-\d{3}'))
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if ms:
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MS = " "
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for im in ms:
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MS += (im)
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MS += " "
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MS = MS.replace(',', ' ')
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MS = MS.replace('\n', '')
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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 blackpyramid_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 = "BlackPyramid" # 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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listing = soup.findAll('article', {"class": "product"})
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# Some listing pages have an additional article section which is blank
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if not listing[-1].findAll('a', href=True):
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listing = listing[:-1]
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# Populating the Number of Products
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nm = len(listing)
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for card in listing:
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bae = card.findAll('a', href=True)
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# Adding the url to the list of urls
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link = bae[2].get('href')
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href.append(link)
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# Finding the Product
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product = bae[3].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 description
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# # 'recurisve = False' only searches direct children
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# desc = card.findChildren('div', recursive=False)[0]
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# desc = desc.findAll('div', recursive=False)[3].text
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# desc = desc.replace('\n', ' ')
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# desc = desc.replace(",", "")
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# desc = desc.strip()
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# describe.append(desc)
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# Finding Vendor Name
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vendor_name = bae[4].find('span').text
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vendor_name = vendor_name.split(' ')[1]
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vendor_name = vendor_name.replace('\n', ' ')
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vendor_name = vendor_name.replace(",", "")
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vendor_name = vendor_name.strip()
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vendor.append(vendor_name)
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# Finding the Category
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cat = card.findAll('div', recursive=False)[0].findAll('div', recursive=False)[1].find('span').text
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cat = cat.replace("\n", "")
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cat = cat.replace(",", "")
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cat = cat.strip()
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category.append(cat)
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bae = card.findAll('div', recursive=False)[1].findAll('div', recursive=False)[1]
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# Finding amount left
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left = bae.findAll('div', recursive=False)[1].text
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left = left.replace("x", "")
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left = left.replace('\n', ' ')
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left = left.replace(",", "")
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left = left.strip()
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qLeft.append(left)
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# Finding amount sold
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qsold = bae.findAll('div', recursive=False)[2].text
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qsold = qsold.replace('\n', ' ')
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qsold = qsold.replace("x", "")
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qsold = qsold.replace(",", "")
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qsold = qsold.strip()
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sold.append(qsold)
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# Finding product image
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product_image = card.find('img')
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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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# Searching for CVE and MS categories
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cve = card.findAll(text=re.compile('CVE-\d{4}-\d{4}'))
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if not cve:
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cveValue="-1"
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else:
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cee = " "
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for idx in cve:
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cee += (idx)
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cee += " "
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cee = cee.replace(',', ' ')
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cee = cee.replace('\n', '')
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cveValue=cee
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CVE.append(cveValue)
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ms = card.findAll(text=re.compile('MS\d{2}-\d{3}'))
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if not ms:
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MSValue="-1"
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else:
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me = " "
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for im in ms:
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me += (im)
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me += " "
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me = me.replace(',', ' ')
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me = me.replace('\n', '')
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MSValue=me
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MS.append(MSValue)
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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,
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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 BlackPyramid_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.findAll('article', {"class": "product"})
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for item in listing:
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link = item.find('a', {"class": "ah39063"})['href']
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href.append(link)
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return href
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