|
|
@ -0,0 +1,168 @@ |
|
|
|
__author__ = 'DarkWeb' |
|
|
|
|
|
|
|
|
|
|
|
# Here, we are importing the auxiliary functions to clean or convert data |
|
|
|
from MarketPlaces.Utilities.utilities import * |
|
|
|
|
|
|
|
# Here, we are importing BeautifulSoup to search through the HTML tree |
|
|
|
from bs4 import BeautifulSoup |
|
|
|
import re |
|
|
|
|
|
|
|
|
|
|
|
# parses description pages, so takes html pages of description pages using soup object, and parses it for info it needs |
|
|
|
# stores info it needs in different lists, these lists are returned after being organized |
|
|
|
# @param: soup object looking at html page of description page |
|
|
|
# return: 'row' that contains a variety of lists that each hold info on the description page |
|
|
|
def darkroad_description_parser(soup): |
|
|
|
# Fields to be parsed |
|
|
|
|
|
|
|
vendor = "-1" # 0 *Vendor_Name n |
|
|
|
success = "-1" # 1 Vendor_Successful_Transactions n |
|
|
|
rating_vendor = "-1" # 2 Vendor_Rating n |
|
|
|
name = "-1" # 3 *Product_Name y |
|
|
|
describe = "-1" # 4 Product_Description y |
|
|
|
CVE = "-1" # 5 Product_CVE_Classification (Common Vulnerabilities and Exposures) |
|
|
|
MS = "-1" # 6 Product_MS_Classification (Microsoft Security) |
|
|
|
category = "-1" # 7 Product_Category y |
|
|
|
views = "-1" # 8 Product_Number_Of_Views n |
|
|
|
reviews = "-1" # 9 Product_Number_Of_Reviews y |
|
|
|
rating_item = "-1" # 10 Product_Rating y |
|
|
|
addDate = "-1" # 11 Product_AddedDate n |
|
|
|
BTC = "-1" # 12 Product_BTC_SellingPrice n |
|
|
|
USD = "-1" # 13 Product_USD_SellingPrice y |
|
|
|
EURO = "-1" # 14 Product_EURO_SellingPrice n |
|
|
|
sold = "-1" # 15 Product_QuantitySold n |
|
|
|
left = "-1" # 16 Product_QuantityLeft n |
|
|
|
shipFrom = "-1" # 17 Product_ShippedFrom n |
|
|
|
shipTo = "-1" # 18 Product_ShippedTo n |
|
|
|
image = "-1" # 19 Product_Image y |
|
|
|
vendor_image = "-1" # 20 Vendor_Image n |
|
|
|
|
|
|
|
# Finding Product Name |
|
|
|
name = soup.find('h1').text |
|
|
|
name = cleanString(name).strip() |
|
|
|
|
|
|
|
# Finding Product description |
|
|
|
describe_div = soup.find('div', {'class': "woocommerce-product-details__short-description"}) |
|
|
|
describe = describe_div.get_text() |
|
|
|
describe = cleanString(describe).strip() |
|
|
|
|
|
|
|
# Finding category |
|
|
|
div_category = soup.find('div', {'class': "product_meta"}) |
|
|
|
category = div_category.find('span', {"class": 'posted_in'}).get_text() |
|
|
|
category = cleanString(category).strip() |
|
|
|
|
|
|
|
# Finding Number of Reviews |
|
|
|
div_review_count = soup.find('a', {'class': "woocommerce-review-link"}) |
|
|
|
reviews = div_review_count.find('span', {'class': 'count'}).text |
|
|
|
|
|
|
|
# Finding Review Rating |
|
|
|
div_rating_item = soup.find('div', {'class': "star-rating"}) |
|
|
|
rating_item = div_rating_item.find('strong', {'class', "rating"}).text |
|
|
|
|
|
|
|
# Finding BTC and USD/GOLD |
|
|
|
div_price = soup.find('span', {'class': "woocommerce-Price-amount amount"}) |
|
|
|
USD = div_price.text |
|
|
|
|
|
|
|
div_image = soup.find('div', {'class': "woocommerce-product-gallery woocommerce-product-gallery--with-images woocommerce-product-gallery--columns-4 images"}) |
|
|
|
div_image = div_image.find('img') |
|
|
|
image = div_image.get('src').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 |
|
|
|
|
|
|
|
|
|
|
|
# parses listing pages, so takes html pages of listing pages using soup object, and parses it for info it needs |
|
|
|
# stores info it needs in different lists, these lists are returned after being organized |
|
|
|
# @param: soup object looking at html page of listing page |
|
|
|
# return: 'row' that contains a variety of lists that each hold info on the listing page |
|
|
|
def darkroad_listing_parser(soup): |
|
|
|
# Fields to be parsed |
|
|
|
nm = 0 # *Total_Products (Should be Integer) |
|
|
|
mktName = "DarkRoad" # 0 *Marketplace_Name y |
|
|
|
vendor = [] # 1 *Vendor n |
|
|
|
rating_vendor = [] # 2 Vendor_Rating n |
|
|
|
success = [] # 3 Vendor_Successful_Transactions n |
|
|
|
name = [] # 4 *Product_Name y |
|
|
|
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 y |
|
|
|
describe = [] # 8 Product_Description n |
|
|
|
views = [] # 9 Product_Number_Of_Views n |
|
|
|
reviews = [] # 10 Product_Number_Of_Reviews n |
|
|
|
rating_item = [] # 11 Product_Rating y |
|
|
|
addDate = [] # 12 Product_AddDate n |
|
|
|
BTC = [] # 13 Product_BTC_SellingPrice n |
|
|
|
USD = [] # 14 Product_USD_SellingPrice y |
|
|
|
EURO = [] # 15 Product_EURO_SellingPrice n |
|
|
|
sold = [] # 16 Product_QuantitySold n |
|
|
|
qLeft = [] # 17 Product_QuantityLeft n |
|
|
|
shipFrom = [] # 18 Product_ShippedFrom n |
|
|
|
shipTo = [] # 19 Product_ShippedTo n |
|
|
|
image = [] # 20 Product_Image y |
|
|
|
image_vendor = [] # 21 Vendor_Image n |
|
|
|
href = [] # 22 Product_Links y |
|
|
|
|
|
|
|
listings = soup.findAll('a', {"class": "woocommerce-LoopProduct-link woocommerce-loop-product__link"}) |
|
|
|
|
|
|
|
# Populating the Number of Products |
|
|
|
nm = len(listings) |
|
|
|
|
|
|
|
for listing in listings: |
|
|
|
# Finding the product name |
|
|
|
product_name = listing.find('h2', {"class": "woocommerce-loop-product__title"}).text |
|
|
|
product_name = cleanString(product_name).strip() |
|
|
|
name.append(product_name) |
|
|
|
|
|
|
|
# Finding the category |
|
|
|
category_name = soup.find('h1', {"class": "page-title"}).get_text() |
|
|
|
category_name = cleanString(category_name).strip() |
|
|
|
category.append(category_name) |
|
|
|
|
|
|
|
# Finding the BTC and USD/GOLD |
|
|
|
USD_price = listing.find('span', {"class": "woocommerce-Price-amount amount"}).get_text() |
|
|
|
USD_price = cleanString(USD_price).strip() |
|
|
|
USD.append(USD_price) |
|
|
|
|
|
|
|
# Finding the item rating |
|
|
|
rating_div = listing.find('div', {"class": "star-rating"}) |
|
|
|
rating = rating_div.find('strong').text |
|
|
|
rating = cleanString(rating).strip() |
|
|
|
rating_item.append(rating) |
|
|
|
|
|
|
|
# Finding product image |
|
|
|
product_image = listing.find('img', {"class": "attachment-woocommerce_thumbnail size-woocommerce_thumbnail"}) |
|
|
|
product_image = product_image.get('src').split('base64,')[-1] |
|
|
|
image.append(product_image) |
|
|
|
|
|
|
|
# Finding the hrefs |
|
|
|
description_link = listing["href"] |
|
|
|
href.append(description_link) |
|
|
|
# Populate the final variable (this should be a list with all fields scraped) |
|
|
|
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) |
|
|
|
|
|
|
|
|
|
|
|
# called by the crawler to get description links on a listing page |
|
|
|
# @param: beautifulsoup object that is using the correct html page (listing page) |
|
|
|
# return: list of description links from a listing page |
|
|
|
|
|
|
|
def darkroad_links_parser(soup): |
|
|
|
|
|
|
|
href = [] |
|
|
|
listings = soup.findAll('li') |
|
|
|
|
|
|
|
for listing in listings: |
|
|
|
# Adding the url to the list of urls |
|
|
|
try: |
|
|
|
description_link = listing.find('a', class_="woocommerce-LoopProduct-link woocommerce-loop-product__link")['href'] |
|
|
|
href.append(description_link) |
|
|
|
except: |
|
|
|
pass |
|
|
|
|
|
|
|
return href |