bot Python web scraper

Web Scraping with Simple and Basic Technique in Python

Hello all, Web scraping is an activity of visiting websites and fetching needful information from a particular website. In order to automate this activity, developers write scripts in different programming languages (Javascript, Php, Python, NodeJs, PhantomJs) etc. While every language has some benefit over others, the core concept of web scraping remains same. I have scraped multiple and different kind of websites over a period of time. My favorite language has been Python. In this tutorial, we will discuss on how to scrape almost any website with Python.

Again, the most important part is the concept. If the concept gets clear, you can choose the language of your choice, though I will provide sample codes for Python to get started. The concept covers a general website, which should also work on websites with authentication needed.

Web Scraping Concept:

1- Make a proper request to the web page you want to scrape.

  • Make a http request to the website. In order to do this, you need to send right headers and request data.
  • In order to form a right request, you can use Chrome Developer’s Tool Network tab.
  • Open new tab in Chrome browser and then open Chrome Developer Tool (Ctrl + Shift + I). Then click on network tab. And then click on preserve log.
  • Now the current tab is all set to record the requests for the website it will open.
  • Open the particular request which you want to scrape and check request type (GET, POST), request headers, request data which you need to take care while making a web scraper.

2- Find the data you needed and store it.

  • Create soup (in python) object of the received response content.
  • Find the needful data using soup functions (find, find_all)

Let’s take a live example for web scraping demonstration-

  • Website:
  • Objective: Scrape different jobs for python


  • Install requests, beautifulsoup, lxml library in python3, or similar version in python.
  • Do install, any other required libraries


1- We will manually analyze the page for python jobs for the request url, request type, request headers, request data

The new url is

  • Check the Headers tab in network tab
  • General-
  • Request URL :
  • Request Method : POST
  • Status Code: 200
  • Request Headers : accept, accept-encoding, accept-language, etc.
  • Form Data : qp, ql, qe, qm, etc.

2- We will create similar request object in python and get response

base_url = ""
headers = {
                    'accept': "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8",
                    'accept-encoding': "gzip, deflate, br",
                    'accept-language': "en-US,en;q=0.9",
                    'cache-control': "no-cache",
                    'content-length': "487",
                    'content-type': "multipart/form-data; boundary=----WebKitFormBoundary7MA4YWxkTrZu0gW",
                    'origin': "",
                    'referer': "",
                    'upgrade-insecure-requests': "1",
                    'user-agent': "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.108 Safari/

payload = "------WebKitFormBoundary7MA4YWxkTrZu0gW\r\nContent-Disposition: form-data; name=\"qp\"\r\n\r\npython\r\n------WebKitFormBoundary7MA4YWxkTrZu0gW\r\nContent-Disposition: form-data; name=\"ql\"\r\n\r\n\r\n------WebKitFormBoundary7MA4YWxkTrZu0gW\r\nContent-Disposition: form-data; name=\"qe\"\r\n\r\n\r\n------WebKitFormBoundary7MA4YWxkTrZu0gW\r\nContent-Disposition: form-data; name=\"qm\"\r\n\r\n\r\n------WebKitFormBoundary7MA4YWxkTrZu0gW\r\nContent-Disposition: form-data; name=\"qx\"\r\n\r\n\r\n------WebKitFormBoundary7MA4YWxkTrZu0gW\r\nContent-Disposition: form-data; name=\"qi[]\"\r\n\r\n\r\n------WebKitFormBoundary7MA4YWxkTrZu0gW\r\nContent-Disposition: form-data; name=\"qi[]\"\r\n\r\n\r\n------WebKitFormBoundary7MA4YWxkTrZu0gW\r\nContent-Disposition: form-data; name=\"qf[]\"\r\n\r\n\r\n------WebKitFormBoundary7MA4YWxkTrZu0gW\r\nContent-Disposition: form-data; name=\"qr[]\"\r\n\r\n\r\n------WebKitFormBoundary7MA4YWxkTrZu0gW\r\nContent-Disposition: form-data; name=\"qs\"\r\n\r\n\r\n------WebKitFormBoundary7MA4YWxkTrZu0gW\r\nContent-Disposition: form-data; name=\"qo\"\r\n\r\n\r\n------WebKitFormBoundary7MA4YWxkTrZu0gW\r\nContent-Disposition: form-data; name=\"qjt[]\"\r\n\r\n\r\n------WebKitFormBoundary7MA4YWxkTrZu0gW\r\nContent-Disposition: form-data; name=\"qk[]\"\r\n\r\n\r\n------WebKitFormBoundary7MA4YWxkTrZu0gW\r\nContent-Disposition: form-data; name=\"qwdt\"\r\n\r\n\r\n------WebKitFormBoundary7MA4YWxkTrZu0gW\r\nContent-Disposition: form-data; name=\"qsb_section\"\r\n\r\nhome\r\n------WebKitFormBoundary7MA4YWxkTrZu0gW\r\nContent-Disposition: form-data; name=\"qpremTagLabel\"\r\n\r\n\r\n------WebKitFormBoundary7MA4YWxkTrZu0gW\r\nContent-Disposition: form-data; name=\"sid\"\r\n\r\n15556764581018\r\n------WebKitFormBoundary7MA4YWxkTrZu0gW\r\nContent-Disposition: form-data; name=\"qwd[]\"\r\n\r\n\r\n------WebKitFormBoundary7MA4YWxkTrZu0gW\r\nContent-Disposition: form-data; name=\"qcf[]\"\r\n\r\n\r\n------WebKitFormBoundary7MA4YWxkTrZu0gW\r\nContent-Disposition: form-data; name=\"qci[]\"\r\n\r\n\r\n------WebKitFormBoundary7MA4YWxkTrZu0gW\r\nContent-Disposition: form-data; name=\"qci[]\"\r\n\r\n\r\n------WebKitFormBoundary7MA4YWxkTrZu0gW\r\nContent-Disposition: form-data; name=\"qck[]\"\r\n\r\n\r\n------WebKitFormBoundary7MA4YWxkTrZu0gW\r\nContent-Disposition: form-data; name=\"edu[]\"\r\n\r\n\r\n------WebKitFormBoundary7MA4YWxkTrZu0gW\r\nContent-Disposition: form-data; name=\"qcug[]\"\r\n\r\n\r\n------WebKitFormBoundary7MA4YWxkTrZu0gW\r\nContent-Disposition: form-data; name=\"qcpg[]\"\r\n\r\n\r\n------WebKitFormBoundary7MA4YWxkTrZu0gW\r\nContent-Disposition: form-data; name=\"qctc[]\"\r\n\r\n\r\n------WebKitFormBoundary7MA4YWxkTrZu0gW\r\nContent-Disposition: form-data; name=\"qco[]\"\r\n\r\n\r\n------WebKitFormBoundary7MA4YWxkTrZu0gW\r\nContent-Disposition: form-data; name=\"qcjt[]\"\r\n\r\n\r\n------WebKitFormBoundary7MA4YWxkTrZu0gW\r\nContent-Disposition: form-data; name=\"qcr[]\"\r\n\r\n\r\n------WebKitFormBoundary7MA4YWxkTrZu0gW\r\nContent-Disposition: form-data; name=\"qcl[]\"\r\n\r\n\r\n------WebKitFormBoundary7MA4YWxkTrZu0gW\r\nContent-Disposition: form-data; name=\"qrefresh\"\r\n\r\n\r\n------WebKitFormBoundary7MA4YWxkTrZu0gW\r\nContent-Disposition: form-data; name=\"xt\"\r\n\r\nadv\r\n------WebKitFormBoundary7MA4YWxkTrZu0gW\r\nContent-Disposition: form-data; name=\"qtc[]\"\r\n\r\n\r\n------WebKitFormBoundary7MA4YWxkTrZu0gW\r\nContent-Disposition: form-data; name=\"fpsubmiturl\"\r\n\r\n\r\n------WebKitFormBoundary7MA4YWxkTrZu0gW\r\nContent-Disposition: form-data; name=\"qlcl[]\"\r\n\r\n\r\n------WebKitFormBoundary7MA4YWxkTrZu0gW\r\nContent-Disposition: form-data; name=\"src\"\r\n\r\nsortby\r\n------WebKitFormBoundary7MA4YWxkTrZu0gW\r\nContent-Disposition: form-data; name=\"px\"\r\n\r\n1\r\n------WebKitFormBoundary7MA4YWxkTrZu0gW\r\nContent-Disposition: form-data; name=\"latLong\"\r\n\r\n\r\n------WebKitFormBoundary7MA4YWxkTrZu0gW--"

data = {"qp":"python","ql":",","qe":"","qm":"","qx":"","qi[]":"","qf[]":"","qr[]":"","qs":"f","qo":"","qjt[]":"","qk[]":"","qwdt":"","qsb_section":"home","qpremTagLabel":"","sid":"15556764581018","qwd[]":"","qcf[]":"","qci[]":"","qck[]":"","edu[]":"","qcug[]":"","qcpg[]":"","qctc[]":"","qco[]":"","qcjt[]":"","qcr[]":"","qcl[]":"","qrefresh":"","xt":"adv","qtc[]":"","fpsubmiturl":"","qlcl[]":"","latLong":"", "src":"sortby", "px": 1}

response = requests.request("POST", base_url, data=payload, headers=headers, params=data)

3- We will find the job data from the response.

soup = BeautifulSoup(response.text, "lxml")
for div in soup.find_all('div',{'type': 'tuple', 'class': 'row'}):
    post = {
        'company_name': ''
        company = div.find('span', {'class' : 'org'}).getText()
        company = company.strip()
        company = company.replace(',' , ' || ')
        post['company_name'] = company

Awesome! In similar fashion, you can scrape almost any website. Do try out the concept to create your first scraper.

Also let me know of suggestions for improvement and queries.

Note: This article is for educational purpose and in no way endorses illegal web scraping.

bot Proxy Python subprocess tor traffic web scraper webbrowser

The Bot : How To Make A Simple Anonymous Web Scraper?

Web scraper is a program to automate the process of accessing websites with or without browsers. In this post, by web scraping, I mean of only accessing the webpages. And the web scraper built here access webpages through web browsers.

An anonymous web scraper will be the one which keeps the identity of the program hidden. That means a program that accesses some website without revealing its information(ip address).

Usage(Though this should be used at one’s own risk)
There are websites which offer you money to bring traffic to their websites. Using such anonymous web scrappers (the bots), you can send fake traffic to their websites and earn some money.

Note: These programs are tested on ubuntu 14.04. Similar programs can be made on other platforms as well.
We will discuss two ways of making such web scraper here using python.
For the first method, we will use webbrowser library of python to open webpages, and tor to create anonymity. We will use subprocess library to automate it.


import time
import subprocess as sp
import webbrowser

urls = [“”, “”]
count =10000
while count>=0:
for url in urls:
time.sleep(4)[“sudo”, “killall”, “firefox”])[“sudo”, “/etc/init.d/tor”, “restart”])


1- urls contain the list of url, bringing traffic on which gives you money.
2- while loop makes the iteration over the list of urls.
3- each url is opened using webbrowser(default firefox) and waits for two seconds.
4- then it waits for 4 seconds after opening all the urls to let the pages load properly(these can be changed according to the time, website takes to load pages).
5- the firefox is forcefully closed
6- tor is restarted so that user ip is changed.

Before running the program, set up the firefox for socks5 proxy and port no. 9050 to make requests through tor.

For the second method, we will simply open browser through subprocess,

import time
import subprocess as sp
import webbrowser

urls = [“”, “”]
count =10000
while count>=0:
for url in urls:
child = sp.Popen(“firefox %s” %url, shell=True)
time.sleep(4)[“sudo”, “killall”, “firefox”])[“sudo”, “/etc/init.d/tor”, “restart”])

1- the webpages are opened as a subprocess

Now you are all set up with your anonymous web scraper.

Do setup the firefox for proxy as in first method.
With such bots, they must execute javascript to send information, which can be done using browsers.
The other technique used to create bot using phantomJs and bash can be found here.
Read websites’ terms, take your own risks and enjoy free money. 🙂

Dryscrape Polipo Proxy Python socks tor

Proxy The Proxy : How to set socks5 proxy in dryscrape(python library)?

Dryscrape is the python library that can be used to execute javascript code when a webpage is opened. You can read about it more from here.

Now we can set the http proxy for dryscrape in the following way:

sess = dryscrape.Session(baseurl = "")
sess.set_proxy(host='localhost', port = port_no)

But the problem is that, we can set only http proxy to dryscrape session.
But sometimes we may want to set socks proxy for dryscrape session. I wanted it to connect it through tor to make an anonymous web scraper but tor works only on socks protocol.

Now there is an interesting called Polipo.
Polipo is a web proxy that supports socks protocol. But the more interesting thing(may be just to me or other novice explorers) is that it can pipeline the request to other proxy server of other protocol from request protocol.

In more simple language, we can configure Polipo to route the request from one server listening on some protocol to other server with other protocol.

So, we will configure our polipo server to listen for http requests and forward it through socks protocol. So this will proxy the proxy server for initial request(might be puzzling).


Following is the configuration that can be added in your /etc/polipo/config file,

socksParentProxy = "localhost:9050"
socksProxyType = socks5

proxyAddress = “localhost”
proxyPort = 8118


socksParentProxy determines the next machine with port no. to target for the incoming request(tor running on my machine with default port no. 9050).
socksProxyType determines the type of protocol of the next server.
proxyAddress detemines the address of the polipo server.
proxyPort determines the port no. for polipo server(default 8118).

Now we can set proxy server as polipo server for dryscrapes’ requests in the following way:
sess = dryscrape.Session(base_url = "")
sess.set_proxy(host = "localhost", port = 8118)

So, now whenever dryscrape makes request for some webpage, the request first goes to polipo and then it gets forward to tor(or some other server).

Cheers. Now, using dryscrape, we can make request through socks protocol(socks5 proxy).

Some of the related questions on stackoverflow can be found here.