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276 lines
10 KiB
276 lines
10 KiB
__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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# This is the method to parse the Description Pages (one page to each Product in the Listing Pages)
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def silkroad4_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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LTC = "-1" # 19 Product_LTC_SellingPrice
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XMR = "-1" # 20 Product_XMR_SellingPrice
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image = "-1" # 19 Product_Image
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vendor_image = "-1" # 20 Vendor_Image
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bae = soup.find('div', {'id': 'cats'})
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# Finding Vendor
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vendor = bae.find('font', {'color':'blue'}).text
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vendor = vendor.strip()
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#Finding Product Name
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name = bae.find('b', {'style': 'color:#333;'}).text
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name = name.strip()
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#Finding image
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image = bae.find('img')
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image = image.get('src')
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image = image.split('base64,')[-1]
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#Finding Price
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temp = bae.find('span').next_sibling
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price_list = temp.split("/")
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USD = price_list[0].replace("$", "").strip()
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BTC = price_list[1].replace("BTC","").strip()
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# Not stored into databse/PGAdmin yet!
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LTC = price_list[2].replace("LTC", "").strip()
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XMR = price_list[3].replace("XMR", "").strip()
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#print(USD, "", BTC,"", LTC,"", XMR)
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# Finding Ships From
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a = bae.find_all('a',href=True, limit = 2)
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shipFrom = a[0].text.strip()
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#Finding Category
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category = a[1].text.strip()
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# Finding the Product description
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describe = soup.find('div', {'style': 'color:#555;font-weight:normal;font-size:12px'}).text
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describe = cleanString(describe.strip())
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# Finding Rating
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rate = soup.find('div', {'style': 'padding:0px; margin-bottom:10px; font-size:12px;'})
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rate = rate.find('p')
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if rate is not None:
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rate = rate.text.strip()
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#Some descriptions have rating as 'No Rating yet', can convert to -1 for consistency in database
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#if(rate is 'No rating yet'):
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# rating_item = -1
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#Only extract rating part
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rating_item = rate[:rate.index('Note')]
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# Finding Number of Reviews
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table = soup.find('div', {'class': 'table-responsive'})
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if table is not None:
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num_rev = table.findAll('tr')
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reviews = len(num_rev) - 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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# This is the method to parse the Listing Pages
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def silkroad4_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 = "SilkRoad4" # 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)
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MS = [] # 6 Product_MS_Classification (Microsoft Security)
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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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href = [] # 20 Product_Links
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LTC = [] # 21 Product_LTC_SellingPrice
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XMR = [] # 22 Product_XMR_SellingPrice
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image = [] # 19 Product_Image
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image_vendor = [] # 20 Vendor_Image
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listing = soup.findAll('div', {'style': "padding:10px; width:100%; margin-bottom:5px; margin-top:0px"})
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# Populating the Number of Products
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nm = len(listing)
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# Finding category of listing page
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cat = listing[0].find_all('a', href=True)
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cat = cat[len(cat)-2].text
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cat = cat.replace(",", "")
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cat = cat.strip()
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for a in listing:
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bae = a.findAll('a', href=True)
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# Adding the category
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category.append(cat)
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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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link = cleanLink(link)
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href.append(link)
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# Finding Price
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temp = a.find('b', {'style': 'color:#333'})
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temp = temp.text
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price = temp.split("/")
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USD.append(price[0].replace('$', '').strip())
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BTC.append(price[1].replace('BTC', '').strip())
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# LTC and XMR will not be stored in Pgadmin as of now
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LTC.append(price[2].replace('LTC', '').strip())
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XMR.append(price[3].replace('XMR', '').strip())
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#print(USD, " ", BTC, ' ', LTC, '', XMR)
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# Finding the Vendor
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ven = a.findAll('b')
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v = ven[2].find('font').text
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v = v.strip()
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vendor.append(v)
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# Finding the Product
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product = bae[0].text
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product = product.replace(",", "")
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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 ShipFrom
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shipf = bae[len(bae)-1].text.strip()
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shipFrom.append(shipf)
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# Finding image
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product_image = a.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 = a.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 = a.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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def silkroad4_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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# finds all div with id, vp
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divs = soup.findAll('div', {"id": "vp"})
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listing = []
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# for all div with id:vp, find first a with href
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for div in divs:
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a_s = div.find('a', href=True)
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# if div has no href True, then move on. otherwise, store the a with href into listing
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if a_s is not None:
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listing.append(a_s)
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# loop through listing with a with href and extract/return the href
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for a in listing:
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link = a['href']
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# if '?listing' is in link, then it is a product, so append to the href list. Otherwise, move on.
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if "?listing" in link:
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href.append(link)
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return href
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