alxgmpr

#!/bin/bash

############################################################################
# Squid Proxy Installer (SPI)                                              #
# Version: 2.0 Build 2017                                                  #
# Branch: Stable                                                           #
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~#
# Author: Hidden Refuge (© 2014 - 2016)                                    #
# License: MIT License                                                     #
#~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~#

alxgmpr

cd ~
mkdir dev_tools
cd dev_tools

## download SIP source code
wget http://sourceforge.net/projects/pyqt/files/sip/sip-4.19.3/sip-4.19.3.tar.gz
tar zxf sip-4.19.3.tar.gz
cd sip-4.19.3
python configure.py
make

alxgmpr

import requests
from datetime import datetime
from time import sleep
import threading

class Target(threading.Thread):
    def __init__(self, tid):
      self.tid =  tid
      threading.Thread.__init__(self)
      self.slackhook = 'https://hooks.slack.com/services/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'

alxgmpr

Keybase proof

I hereby claim:

• I am alxgmpr on github.
• I am edzart (https://keybase.io/edzart) on keybase.
• I have a public key ASDkYqkGtmzZoV0G93d1_PA6qG7HECEr_lcB7w_Z97xt6Qo

To claim this, I am signing this object:

alxgmpr

Intro

This is a guide for the best practices and uses for PyNode proxies in combination with Shopify Dashe bot. This guide will hopefully help you better understand good proxy/task ratios. There are two scenarios to consider when setting up tasks and proxies. This is monitor mode and restock mode. Most of this file will be about the best ratios, but I'll add a few notes and tips in here in addition.

While monitoring

When Dashe is monitoring a website (that is, you are using keywords or a link to look for a product which is not currently

alxgmpr

import requests
import json
import threading
import csv
from datetime import datetime

from requests.packages.urllib3.exceptions import InsecureRequestWarning

requests.packages.urllib3.disable_warnings(InsecureRequestWarning)

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import requests

LISTINGURL = ''
VIEWS = 200

def main():
  for i in range(VIEWS):
    r = requests.get(LISTINGURL)

if __name__ == '__main__':

alxgmpr

One of the projects I'm working on right now requires being able to upload product images to Shopify. These images are sourced via Dropbox links, which look something like this: https://www.dropbox.com/s/[some id]/[filename].jpg?dl=0.

Shopify has a feature which allows for API image uploads via URL or via a Base64 encoded attachment. However, when you try and link a Dropbox URL, you will likely encounter an error since Dropbox file extensions are "faux", and aren't the actual location of the image you want.

Searching for a solution to this yeilds little help. The common solution from Shopify indicates that you'd have to download the images via your URL (to do this you must pass ?dl=1), and either encode it to base64 or host it somewhere on your own, then attach the image to your API request.

alxgmpr

Remove all *.pyc files in a directory

find . -name \*.pyc -delete

Turn off InsecureRequestWarning for unverified requests

import urllib3
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)

alxgmpr

import requests
import urllib3
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)


class ProxyFinder:
    def __init__(self):
        self.username = 'XXX'
        self.password = 'XXX'