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254 lines
9.5 KiB
254 lines
9.5 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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#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 darkmatter_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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# 0 *Vendor_Name
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try:
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temp = soup.find('table', {'class', 'vtable'})
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temp = temp.findAll('tr')
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temp2 = temp[3].find('a').text
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vendor = cleanString(temp2.strip())
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except:
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temp = soup.find('table', {'class', 'vtable'})
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temp = temp.findAll('tr')
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temp2 = temp[4].find('a').text
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vendor = cleanString(temp2.strip())
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# product name
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name = soup.find('div', {'class', 'title-h2'}).text
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name = cleanString(name.strip())
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#product description
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temp = soup.find('pre', {'class', 'description'}).text
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temp = temp.replace('\n', ' ')
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describe = cleanString(temp.strip())
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#product category
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try:
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temp = soup.find('table', {'class', 'vtable'})
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temp = temp.findAll('tr')
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temp2 = temp[4].find('th').text
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temp2 = cleanString(temp2)
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if (temp2 == "Category"):
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temp2 = temp[4].find('a').text
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category = cleanString(temp2.strip())
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except:
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temp = soup.find('table', {'class', 'vtable'})
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temp = temp.findAll('tr')
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temp2 = temp[5].find('th').text
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temp2 = cleanString(temp2.strip)
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if (temp2 == "Category"):
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temp2 = temp[5].find('a').text
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category = cleanString(temp2.strip())
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# usd
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temp = soup.find('table', {'class', 'vtable'})
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temp = temp.findAll('tr')
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temp2 = temp[1].find('td').text
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temp2 = temp2.replace(' USD', '')
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USD = cleanString(temp2)
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# 15 Product_QuantitySold
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temp = soup.find('table', {'class', 'vtable'})
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temp = temp.findAll('tr')
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temp2 = temp[5].find('th').text
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temp2 = cleanString(temp2)
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temp3 = temp[6].find('th').text
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temp3 = cleanString(temp3)
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if (temp2 == "Sold"):
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temp2 = temp[5].find('td').text
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sold = cleanString(temp2.strip())
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elif (temp3 == "Sold"):
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temp2 = temp[6].find('td').text
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sold = cleanString(temp2.strip())
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# Finding Product Image
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image = soup.find('td', {"class": "vtop"}).find('img').get('src')
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image = image.split('base64,')[-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 darkmatter_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 = "DarkMatter" # 0 *Marketplace_Name
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vendor = [] # 1 *Vendor y
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rating = [] # 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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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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names = soup.find('div', {"class": "content"}).findAll('td', {"class": "lefted", "colspan": "3"})
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left = soup.find('div', {"class": "content"}).findAll('table', {"class": "vtable"})
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right = soup.find('div', {"class": "content"}).findAll('td', {"class": "vtop centered"})
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images = soup.find('div', {"class": "content"}).findAll('td', {"class": "vcentered"})
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# vtop centered
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count = 0
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# Populating the Number of Products
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nm = len(names)
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for a in names:
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# product name
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temp = a.find('a').text
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if ("pcs x " in temp):
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index = temp.index("pcs x ")
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result = temp[index + len("pcs x "):]
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name.append(cleanString(result))
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elif("pks x " in temp):
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index = temp.index("pks x ")
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result = temp[index + len("pks x "):]
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name.append(cleanString(result))
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CVE.append("-1")
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MS.append("-1")
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temp2 = left[count].findAll('tr')
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length_2 = len(temp2) - 1
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# category
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temp = temp2[1].find('td').text
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category.append(cleanString(temp.strip()))
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describe.append("-1")
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#escrow.append("-1")
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views.append("-1")
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reviews.append("-1")
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addDate.append("-1")
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#lastSeen.append("-1")
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BTC.append("-1")
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image_vendor.append("-1")
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# usd
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temp3 = right[count*2].find('span').text
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temp = temp3.replace(' USD', '')
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USD.append(cleanString(temp))
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EURO.append("-1")
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# 14 Product_QuantitySold
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temp3 = temp2[length_2].find('th').text
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temp3 = cleanString(temp3)
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if (temp3 == "Sold:"):
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temp = temp2[length_2].find('td').text
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sold.append(cleanString(temp.strip()))
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else:
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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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# ship to
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temp3 = temp2[length_2].find('th').text
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temp3 = cleanString(temp3)
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if (temp3 == "Ship To:"):
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temp = temp2[length_2].find('td').text
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shipTo.append(cleanString(temp.strip()))
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else:
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shipTo.append("-1")
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# vendor
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temp = temp2[0].find('a').text
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vendor.append(cleanString(temp.strip()))
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# add product rating (stars)
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rating.append("-1")
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success.append("-1")
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temp = a.find('a').get('href')
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href.append(temp)
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# Finding Product Image
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image = images[count*2].find('img').get('src')
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image = image.split('base64,')[-1]
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count += 1
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rating_item.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, 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 darkmatter_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": "content"}).findAll('td', {"class": "lefted", 'colspan': '3'})
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for a in listing:
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bae = a.find('a', href=True)
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link = bae['href']
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href.append(link)
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return href
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