Web Scraping Requests Python



  1. Web Scraping With Python Beautifulsoup Requests & Selenium
  2. Web Scraping Requests Python Example
  3. Web Scraping Requests Python Pdf
  4. Python Web Scraping Example
  5. Python Requests Web Scraping
  6. Web Scraping With Requests Python
  7. Web Scraping Requests Python Programming

I’ve recently had to perform some web scraping from a site that required login.It wasn’t very straight forward as I expected so I’ve decided to write a tutorial for it.

Hi,benjauc I read your request. I can do all thing you want. I have worked in various fields of programming and web scraping with python and I can do your project using the beautifulSoup,scrapy(spiders),requests and More. $500 USD in 7 days (12 Reviews). We have learned how the urllib and request two python modules can help in web scraping from scratch, there are many ways to execute your web scraper like in the previous article we used selenium for web scraping then we combined selenium with beautiful soup and now we have integrated request module instead of selenium with beautiful soup.

For this tutorial we will scrape a list of projects from our bitbucket account.

Web Scraping With Python Beautifulsoup Requests & Selenium

The code from this tutorial can be found on my Github.

We will perform the following steps:

  1. Extract the details that we need for the login
  2. Perform login to the site
  3. Scrape the required data

You can find the full code in my Python Notebook. What is Web Scraping? Web scraping means the action of parsing the content of a webpage to extract specific information. Parsing means that you analyze a document to describe the syntax (i.e. The HTML structure).

For this tutorial, I’ve used the following packages (can be found in the requirements.txt):

Web Scraping Requests Python Example

Open the login page

Go to the following page “bitbucket.org/account/signin” .You will see the following page (perform logout in case you’re already logged in)

Check the details that we need to extract in order to login

With

Web Scraping Requests Python Pdf

In this section we will build a dictionary that will hold our details for performing login:

  1. Right click on the “Username or email” field and select “inspect element”. We will use the value of the “name” attribue for this input which is “username”. “username” will be the key and our user name / email will be the value (on other sites this might be “email”, “user_name”, “login”, etc.).
  2. Right click on the “Password” field and select “inspect element”. In the script we will need to use the value of the “name” attribue for this input which is “password”. “password” will be the key in the dictionary and our password will be the value (on other sites this might be “user_password”, “login_password”, “pwd”, etc.).
  3. In the page source, search for a hidden input tag called “csrfmiddlewaretoken”. “csrfmiddlewaretoken” will be the key and value will be the hidden input value (on other sites this might be a hidden input with the name “csrf_token”, “authentication_token”, etc.). For example “Vy00PE3Ra6aISwKBrPn72SFml00IcUV8”.

Python Web Scraping Example

We will end up with a dict that will look like this:

Python Requests Web Scraping

Keep in mind that this is the specific case for this site. While this login form is simple, other sites might require us to check the request log of the browser and find the relevant keys and values that we should use for the login step.

For this script we will only need to import the following:

First, we would like to create our session object. This object will allow us to persist the login session across all our requests.

Second, we would like to extract the csrf token from the web page, this token is used during login.For this example we are using lxml and xpath, we could have used regular expression or any other method that will extract this data.

** More about xpath and lxml can be found here.

Next, we would like to perform the login phase.In this phase, we send a POST request to the login url. We use the payload that we created in the previous step as the data.We also use a header for the request and add a referer key to it for the same url.

Now, that we were able to successfully login, we will perform the actual scraping from bitbucket dashboard page

In order to test this, let’s scrape the list of projects from the bitbucket dashboard page.Again, we will use xpath to find the target elements and print out the results. If everything went OK, the output should be the list of buckets / project that are in your bitbucket account.

You can also validate the requests results by checking the returned status code from each request.It won’t always let you know that the login phase was successful but it can be used as an indicator.

for example:

Web Scraping With Requests Python

That’s it.

Web Scraping Requests Python Programming

Full code sample can be found on Github.