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completed darkbay marketplace scraper

main
Helium 11 months ago
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commit
ab80441306
2 changed files with 465 additions and 0 deletions
  1. +256
    -0
      MarketPlaces/DarkBay/crawler_selenium.py
  2. +209
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      MarketPlaces/DarkBay/parser.py

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MarketPlaces/DarkBay/crawler_selenium.py View File

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__author__ = 'DarkWeb'
'''
DarkBay Marketplace Crawler (Selenium)
'''
from selenium import webdriver
from selenium.common.exceptions import NoSuchElementException
from selenium.webdriver.firefox.firefox_profile import FirefoxProfile
from selenium.webdriver.firefox.firefox_binary import FirefoxBinary
from selenium.webdriver.firefox.service import Service
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support.ui import Select
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
from PIL import Image
import urllib.parse as urlparse
import os, re, time
from datetime import date
import subprocess
import configparser
from bs4 import BeautifulSoup
from MarketPlaces.Initialization.prepare_parser import new_parse
from MarketPlaces.DarkBay.parser import darkbay_links_parser
from MarketPlaces.Utilities.utilities import cleanHTML
counter = 1
baseURL = 'http://darkbayx7a4sosoo4hqvoljqelgkusjlrqmt237ls6hndbplmel55oad.onion/'
def startCrawling():
mktName = getMKTName()
# driver = getAccess()
#
# if driver != 'down':
# try:
# login(driver)
# crawlForum(driver)
# except Exception as e:
# print(driver.current_url, e)
# closeDriver(driver)
new_parse(mktName, baseURL, True)
# Returns the name of the website
def getMKTName():
name = 'DarkBay'
return name
# Return the base link of the website
def getFixedURL():
url = 'http://darkbayx7a4sosoo4hqvoljqelgkusjlrqmt237ls6hndbplmel55oad.onion/'
return url
# Closes Tor Browser
def closeDriver(driver):
# global pid
# os.system("taskkill /pid " + str(pro.pid))
# os.system("taskkill /t /f /im tor.exe")
print('Closing Tor...')
driver.close()
time.sleep(3)
return
# Creates FireFox 'driver' and configure its 'Profile'
# to use Tor proxy and socket
def createFFDriver():
from MarketPlaces.Initialization.markets_mining import config
ff_binary = FirefoxBinary(config.get('TOR', 'firefox_binary_path'))
ff_prof = FirefoxProfile(config.get('TOR', 'firefox_profile_path'))
ff_prof.set_preference("places.history.enabled", False)
ff_prof.set_preference("privacy.clearOnShutdown.offlineApps", True)
ff_prof.set_preference("privacy.clearOnShutdown.passwords", True)
ff_prof.set_preference("privacy.clearOnShutdown.siteSettings", True)
ff_prof.set_preference("privacy.sanitize.sanitizeOnShutdown", True)
ff_prof.set_preference("signon.rememberSignons", False)
ff_prof.set_preference("network.cookie.lifetimePolicy", 2)
ff_prof.set_preference("network.dns.disablePrefetch", True)
ff_prof.set_preference("network.http.sendRefererHeader", 0)
ff_prof.set_preference("permissions.default.image", 3)
ff_prof.set_preference("browser.download.folderList", 2)
ff_prof.set_preference("browser.download.manager.showWhenStarting", False)
ff_prof.set_preference("browser.helperApps.neverAsk.saveToDisk", "text/plain")
ff_prof.set_preference('network.proxy.type', 1)
ff_prof.set_preference("network.proxy.socks_version", 5)
ff_prof.set_preference('network.proxy.socks', '127.0.0.1')
ff_prof.set_preference('network.proxy.socks_port', 9150)
ff_prof.set_preference('network.proxy.socks_remote_dns', True)
ff_prof.set_preference("javascript.enabled", False)
ff_prof.update_preferences()
service = Service(config.get('TOR', 'geckodriver_path'))
driver = webdriver.Firefox(firefox_binary=ff_binary, firefox_profile=ff_prof, service=service)
driver.maximize_window()
return driver
#the driver 'gets' the url, attempting to get on the site, if it can't access return 'down'
def getAccess():
url = getFixedURL()
driver = createFFDriver()
try:
driver.get(url)
return driver
except:
driver.close()
return 'down'
def login(driver):
# input("Press ENTER when CAPTCHA is complete and login page has loaded\n")
WebDriverWait(driver, 100).until(EC.visibility_of_element_located(
(By.XPATH, '/html/body/div/nav/ul')))
def savePage(driver, page, url):
cleanPage = cleanHTML(driver, page)
filePath = getFullPathName(url)
os.makedirs(os.path.dirname(filePath), exist_ok=True)
open(filePath, 'wb').write(cleanPage.encode('utf-8'))
return
def getFullPathName(url):
from MarketPlaces.Initialization.markets_mining import config, CURRENT_DATE
mainDir = os.path.join(config.get('Project', 'shared_folder'), "MarketPlaces/" + getMKTName() + "/HTML_Pages")
fileName = getNameFromURL(url)
if isDescriptionLink(url):
fullPath = os.path.join(mainDir, CURRENT_DATE + r'\\Description\\' + fileName + '.html')
else:
fullPath = os.path.join(mainDir, CURRENT_DATE + r'\\Listing\\' + fileName + '.html')
return fullPath
def getMKTName() -> str:
name = 'DarkBay'
return name
def getNameFromURL(url):
global counter
name = ''.join(e for e in url if e.isalnum())
if name == '':
name = str(counter)
counter = counter + 1
return name
def getInterestedLinks():
links = []
# # database
# links.append('http://darkbayx7a4sosoo4hqvoljqelgkusjlrqmt237ls6hndbplmel55oad.onion/hacking/databases')
# scripts
links.append('http://darkbayx7a4sosoo4hqvoljqelgkusjlrqmt237ls6hndbplmel55oad.onion/hacking/scripts')
# malware
links.append('http://darkbayx7a4sosoo4hqvoljqelgkusjlrqmt237ls6hndbplmel55oad.onion/hacking/malware')
# # services
# links.append('http://darkbayx7a4sosoo4hqvoljqelgkusjlrqmt237ls6hndbplmel55oad.onion/hacking/services')
# ebooks
# links.append('http://darkbayx7a4sosoo4hqvoljqelgkusjlrqmt237ls6hndbplmel55oad.onion/hacking/books')
return links
def crawlForum(driver):
print("Crawling the DarkBay market")
linksToCrawl = getInterestedLinks()
i = 0
while i < len(linksToCrawl):
link = linksToCrawl[i]
print('Crawling :', link)
try:
has_next_page = True
count = 0
while has_next_page:
try:
driver.get(link)
except:
driver.refresh()
html = driver.page_source
savePage(driver, html, link)
list = productPages(html)
for item in list:
itemURL = urlparse.urljoin(baseURL, str(item))
try:
driver.get(itemURL)
except:
driver.refresh()
savePage(driver, driver.page_source, item)
driver.back()
# # comment out
# break
#
# # comment out
# if count == 1:
# break
try:
link = driver.find_element(by=By.CLASS_NAME, value='pagination')
link = link.find_element(by=By.TAG_NAME, value='span')
link = link.find_element(by=By.XPATH, value='./following-sibling::a')
link = link.get_attribute('href')
if link == "":
print('no next page')
raise NoSuchElementException
count += 1
except NoSuchElementException:
has_next_page = False
except Exception as e:
print(link, e)
i += 1
print("Crawling the DarkBay market done.")
# Returns 'True' if the link is Topic link, may need to change for every website
def isDescriptionLink(url):
if 'offer' in url:
return True
return False
# Returns True if the link is a listingPage link, may need to change for every website
def isListingLink(url):
if 'offer' not in url:
return True
return False
def productPages(html):
soup = BeautifulSoup(html, "html.parser")
return darkbay_links_parser(soup)
def crawler():
startCrawling()

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MarketPlaces/DarkBay/parser.py View File

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__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
# 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 darkbay_description_parser(soup):
# Fields to be parsed
vendor = "-1" # 0 *Vendor_Name
success = "-1" # 1 Vendor_Successful_Transactions
rating_vendor = "-1" # 2 Vendor_Rating
name = "-1" # 3 *Product_Name
describe = "-1" # 4 Product_Description
CVE = "-1" # 5 Product_CVE_Classification (Common Vulnerabilities and Exposures)
MS = "-1" # 6 Product_MS_Classification (Microsoft Security)
category = "-1" # 7 Product_Category
views = "-1" # 8 Product_Number_Of_Views
reviews = "-1" # 9 Product_Number_Of_Reviews
rating_item = "-1" # 10 Product_Rating
addDate = "-1" # 11 Product_AddedDate
BTC = "-1" # 12 Product_BTC_SellingPrice
USD = "-1" # 13 Product_USD_SellingPrice
EURO = "-1" # 14 Product_EURO_SellingPrice
sold = "-1" # 15 Product_QuantitySold
left = "-1" # 16 Product_QuantityLeft
shipFrom = "-1" # 17 Product_ShippedFrom
shipTo = "-1" # 18 Product_ShippedTo
image = "-1" # 19 Product_Image
vendor_image = "-1" # 20 Vendor_Image
# vendor name
vendor = soup.find('div', {'class', 'vendor'}).find('a').text
# product name
name = soup.find('h3').text
# description
describe = soup.find('div', {'class', 'description'}).text.replace('\n', ' ')
# category
category = soup.find('i', {'class', 'fas fa-folder'}).text
# finding price
money = soup.find('div', {'class', 'price'})
BTC = money.find('span', {'class', 'btc'}).text.replace('$','')
USD = money.find('span', {'class', 'usd'}).text.replace('','')
if soup.find('div', {'class': 'instock many'}):
left = soup.find('div', {'class': 'instock many'}).text
if 'in stock' in left:
left.replace('in stock', '').strip()
if left == '':
left = '-1'
# ship to and ship from
location = soup.find('dl', {'class': 'compact ships mb1'}).findAll('dd')
shipFrom = location[0].text
shipFrom = ''.join(c for c in shipFrom if c.isalnum())
shipFrom = shipFrom.strip()
shipFrom = cleanString(shipFrom)
shipTo = location[1].text
shipTo = ''.join(c for c in shipTo if c.isalnum())
shipTo = shipTo.strip()
# Finding Product Image
if soup.find('div', {"class": 'product-photos'}):
image = soup.find('div', {"class": 'product-photos'}).find('img')
image = image.get('src')
image = image.split('base64,')[-1]
else:
image = "-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 darkbay_listing_parser(soup):
# Fields to be parsed
nm = 0 # *Total_Products (Should be Integer)
mktName = "DarkBay" # 0 *Marketplace_Name
vendor = [] # 1 *Vendor y
rating_vendor = [] # 2 Vendor_Rating
success = [] # 3 Vendor_Successful_Transactions
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
views = [] # 9 Product_Number_Of_Views
reviews = [] # 10 Product_Number_Of_Reviews
rating_item = [] # 11 Product_Rating
addDate = [] # 12 Product_AddDate
BTC = [] # 13 Product_BTC_SellingPrice
USD = [] # 14 Product_USD_SellingPrice y
EURO = [] # 15 Product_EURO_SellingPrice
sold = [] # 16 Product_QuantitySold
qLeft = [] # 17 Product_QuantityLeft
shipFrom = [] # 18 Product_ShippedFrom
shipTo = [] # 19 Product_ShippedTo
image = [] # 20 Product_Image
image_vendor = [] # 21 Vendor_Image
href = [] # 22 Product_Links
cat = soup.find('div', {'class': 'path'}).findAll('a')
listing = soup.find('div', {"class": 'items'}).findAll('form', {"action": '/cart'})
# Populating the Number of Products
nm = len(listing)
for a in listing:
category.append(cat[1].text)
# Adding the url to the list of urls
link = a.find('a').get('href')
link = cleanLink(link)
href.append(link)
# Finding the Product name
product = a.find('a').text
product = product.replace('\n', ' ')
product = product.replace(",", "")
product = product.replace("...", "")
product = product.strip()
name.append(product)
# Finding Product Image
product_image = a.find('img')
if product_image is not None:
product_image = product_image.get('src')
product_image = product_image.split('base64,')[-1]
image.append(product_image)
else:
image.append('-1')
# vendor name
ven = a.find('div', {'class', 'vendor'}).find('a').text
ven = cleanString(ven)
vendor.append(ven)
# find price in usd
usd = a.find('div', {'class': 'price'}).text
usd = usd.replace('$','')
USD.append(usd)
rating_vendor.append('-1')
success.append('-1')
CVE.append('-1')
MS.append('-1')
describe.append('-1')
views.append('-1')
reviews.append('-1')
rating_item.append('-1')
addDate.append('-1')
BTC.append('-1')
EURO.append('-1')
sold.append('-1')
qLeft.append('-1')
shipFrom.append('-1')
shipTo.append('-1')
image_vendor.append('-1')
# 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 darkbay_links_parser(soup):
# Returning all links that should be visited by the Crawler
href = []
listing = soup.find('div', {"class": "items"}).findAll('form', {'class':'item'})
for a in listing:
bae = a.findAll('a', href=True)
# Adding the url to the list of urls
link = bae[0].get('href')
href.append(link)
return href

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