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A convenient way to implement HTTP requests is using Pythons' requests library. One of requests’ most popular features is simple proxying support. HTTP as a protocol has very well-defined semantics for dealing with proxies, and this contributed to the widespread deployment of HTTP proxies
Proxying is very useful when conducting intensive web crawling/scrapping or when you just want to hide your identity (anomization).
In this project I am using public proxies to randomise http requests over a number of IP addresses and using a variety of known user agent headers these requests look to have been produced by different applications and operating systems.
Proxies provide a way to use server P (the middleman) to contact server A and then route the response back to you. In more nefarious circles, it's a prime way to make your presence unknown and pose as many clients to a website instead of just one client. Often times websites will block IPs that make too many requests, and proxies is a way to get around this. But even for simulating an attack, you should know how it's done.
Surprisingly, the only thing that tells a server the application triggered the request (like browser type or from a script) is a header called a "user agent" which is included in the HTTP request.
The project code in this repository is crawling four different public proxy websites:
- http://proxyfor.eu/geo.php
- http://free-proxy-list.net
- http://rebro.weebly.com/proxy-list.html
- http://www.samair.ru/proxy/time-01.htm
After collecting the proxy data and filtering the slowest ones it is randomly selecting one of them to query the target url. The request timeout is configured at 30 seconds and if the proxy fails to return a response it is deleted from the application proxy list. I have to mention that for each request a different agent header is used. The different headers are stored in the /data/user_agents.txt file which contains around 900 different agents.
The project is now distribured as a PyPI package! To run an example simply include http-request-randomizer in your requirements.txt file. Then run the code below:
import time
from http_request_randomizer.requests.proxy.requestProxy import RequestProxy
if __name__ == '__main__':
start = time.time()
req_proxy = RequestProxy()
print "Initialization took: {0} sec".format((time.time() - start))
print "Size : ", len(req_proxy.get_proxy_list())
print " ALL = ", req_proxy.get_proxy_list()
test_url = 'http://ipv4.icanhazip.com'
while True:
start = time.time()
request = req_proxy.generate_proxied_request(test_url)
print "Proxied Request Took: {0} sec => Status: {1}".format((time.time() - start), request.__str__())
if request is not None:
print "\t Response: ip={0}".format(u''.join(request.text).encode('utf-8'))
print "Proxy List Size: ", len(req_proxy.get_proxy_list())
print"-> Going to sleep.."
time.sleep(10)http-request-randomizer documentation
Contributions are always welcome! Feel free to send a pull request.
Open an issue here, and be as detailed as possible :)
This project is licensed under the terms of the MIT license.