Now, create a file inside that folder and name it anything you like. I am using the name scraper.py. We are going to import requests, pandas, and bs4. Import requests from bs4 import BeautifulSoup import pandas as pd. Scrapy is a powerful Python web scraping and web crawling framework. Scrapy provides many features to download web pages asynchronously, process them and save them. It handles multithreading, crawling (the process of going from link to link to find every URL in a website), sitemap crawling, and more.Latest version
Beautiful Soup is a library that makes it easy to scrape informationfrom web pages. It sits atop an HTML or XML parser, providing Pythonicidioms for iterating, searching, and modifying the parse tree.
To go beyond the basics, comprehensive documentation is available.
Since 2012, Beautiful Soup has been developed as a Python 2 librarywhich is automatically converted to Python 3 code as necessary. Thismakes it impossible to take advantage of some features of Python3.
For this reason, I plan to discontinue Beautiful Soup's Python 2support at some point after December 31, 2020: one year after thesunset date for Python 2 itself. Beyond that point, new Beautiful Soupdevelopment will exclusively target Python 3. Of course, olderreleases of Beautiful Soup, which support both versions, will continueto be available.
If you use Beautiful Soup as part of your professional work, please consider aTidelift subscription.This will support many of the free software projects your organizationdepends on, not just Beautiful Soup.
If you use Beautiful Soup for personal projects, the best way to saythank you is to readTool Safety, a zine Iwrote about what Beautiful Soup has taught me about softwaredevelopment.
The bs4/doc/ directory contains full documentation in Sphinxformat. Run
make html in that directory to create HTMLdocumentation.
Beautiful Soup supports unit test discovery from the project root directory:
If you checked out the source tree, you should see a script in thehome directory called test-all-versions. This script will run the unittests under Python 2, then create a temporary Python 3 conversion ofthe source and run the unit tests again under Python 3.
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Web Scraping Tutorial using Python and BeautifulSoup
In this blog we will learn web scrapping from start to end. We will cover topics like:
- Installing modules:
- BeautifulSoup (bs4)
- HTML Tree Traversal (Targeting Data)
How does a website works in the backend?
Step 1: User requests a page. Eg:- www.google.com
Step 2: On whichever server the data is, that server sends you back a raw html file.
Step 3: Web browser converts the html file into a readable webpage(the one that you are seeing right now).
What is web scrapping?
The technique of taking the html file sent by the server into python and scrapping it instead of giving it to the browser and displaying it is called Web scrapping.
Two ways of getting data from a website:
- Using API
- HTML web scrapping using some tool like bs4
Why use modules?
In order to use the power of python to scrap websites, we don’t have to write new code for everything. We can use existing code written by experts. Why take the hard path when the outcome is same, when you can do it easily in some lines of code in very short period of time?
How to install modules?
Modules are very easy to install. Open command prompt and just write these three lines one by one:
and you are good to go! If you get any error you can watch this video:
Web Scraping Using Bs4 Java
In order to work with the HTML, we will have to get the HTML as a string. We can easily get HTML data by using get() function in requests module. We first need to import this module by writing:
Then we can make a variable or directly write the link in get() function as a string:
Instead of “content” we can also use “text”:
r.text is the response in Unicode and r.content is the response in bytes.
Beautiful Soup is the perfect module to parse or transverse through HTML code. We can easily target any div, table, td, tr, class, id, etc. The basic template(boilerplate code) which is used everytime is:
Once the HTML is fetched using requests the next step will be to parse the HTML content. For that we will use python’s BeautifulSoup module which will create a tree like structure for our DOM. This line is parsing the data:
We have given two arguments to BeautifulSoup function. One is our HTML content another is our parser. We can also save an HTML file instead of getting data everytime, take that HTML file’s data in a variable and in the same way just write the variable in the function, both are same things. In second argument we are giving it a parser. Here we are using html.parser, we can also use lxml. The parsed data is saved in our soup variable. That is our soup, a mixture of everything. All the data we want is there, we just have to target it and get it. Simple, right?
HTML Tree Traversal (Targeting Data):
From here the main thing starts, from here we start playing with the data. HTML Tree traversal is travelling through the tree branches(HTML tags) and to target the branches we want and scrapping them. Just for excitement wanna see something? Copy and run this code:
Yes! It scrapped all the codes on this page! See how powerful scrapping is, how much it can help you and how much time it can save! I hope you are all powered up, let’s start scrapping!
Our first code:
If we want to scrap title of the page(which is shown in the tab button) then we can get it by:
There is a title tag in all HTML pages, for this page it is:
So with soup.title we can directly get the title of the page. soup.title is like saying soup>title, going inside soup and getting title. In windows like we go into folders like that soup/title. If say there is code:
We can get data of code tag by simply writing “soup.div.div.code”. It’s like giving path of a file through folders where every tag is a folder and whatever is in code tag is the file.
It is used to get first element in the HTML page. It could be any element. For eg:
This line will get you first p tag of the page. If we want all paragraphs(all p tags) of the page then we can use find_all() function.
This line will get you all p tags of the page:
Whatever tag you want to scrap, write that tag in the function as argument. Also when we print paras variable, it will print it like a list. If we want every item one by one, we just put it through a for loop and iterate it, like this:
gcae fecn feid gtgt gatl cont cpnp dbcc sdss
Getting class of an element:
Earlier we were getting text from the tag, this time we are getting class of the element. To get class of an element we need to write:
Here we are using find() function to get p tag like before but we added [‘class’] in it. It’s like list slicing, tag has a class variable, we are getting that variable’s value. If we want other variables like id, style, role, type, we can get them all.
Finding elements through class name:
Most of the times we don’t want to find by tag name because it isn’t that accurate so we use class name there. Code to find elements by class name:
We can also avoid writing tag name if you are not sure about tag name. You can simply write like:
Finding elements through element ID:
Sometimes some elements are not given classes or we just want to target the element with id. We can do it like this:-
There is no find_all() function for id because id can be given to only one element.
Getting text from tags(text/get_text()):
When we write soup.find(‘element’) it returns the whole tag like this:
But if we write:
It will return:
Getting all the links:
With the information I have mentioned till now, you can do it yourself. You can try it. But if unable to do then keep reading. If we want all the links from a webpage then we have to use find_all() function. The tag for links is anchor tag. So, code would be:
This will get all the anchor tags but anchor tags have text in them. Links are in href and href is a variable written in the tag. What did I tell you about getting variables from tags? Slicing! It can be done like this:
I also told you that we need to iterate find_all() that’s why for loop. It can also be done like:
Taking HTML from a variable instead of requests:
Bs4 just needs the HTML. It doesn't matter where it came from. We can also make a variable, write HTML in that and give it to bs4. It can be done like this:
We made a multi-line string and put it in the html variable then we gave that to beautifulsoup. For convenience in the rest of the codes shown below we will use this HTML instead of getting it through requests.
If we want to go one step deeper in the tree then we use contents. Eg:-
If this is the HTML code:
and we have targeted ul tag but we want to go inside ul then we can simply write:
It will return a list which we can iterate.
Children, parent, next_sibling and previous_siblings:
Web Scraping Using Bs4 Tools
You can see HTML tree like a family tree. In a family tree there are parents, children, siblings, exactly like that in HTML tree we have children, parent and siblings. You can understand it like children means one step inside the tree, parent means one step outside the tree and siblings mean in the same step, other elements. Here is a simple code to understand it better:
Here body is parent to ul and ul is parent to li. li is children to ul and ul is children to body. All li tags are each others siblings, easy way to understand is their parent(ul) is same so siblings. Code for all three is:
With for loop we are iterating ul.children. For more info read ‘Difference between Children and Contents’
You just have to write “.parent”, to get parent of parent, write:
3. next_sibling and previous_siblings:
Like parent we can go to next sibling and then next sibling like this:
We can also get all siblings by next_siblings() function. This functions gives a generator because of which we have to iterate it, which means code would be like:
There is also a function named previous_siblings() to get previous siblings. Code is like this:
Like next_sibling, we can also use previous_sibling() function and code is similar like earlier:
Difference between Children and Contents:
Children and content are no different. The only difference is content returns a list but children gives a generator. If we print contents we can just see the list but if we print children we see:
This is an object which is iterable so if we want to get values from it then we just have to iterate it by using a for loop. But why generator? When to use contents and when to use children? Contents simply takes whatever is there and store it in memory but generator doesn’t store it, it only processes when we ask for the value and it processes on the fly because of which there is no storage happening which helps when we have to scrap big data. If we scrap big data with contents, it will store everything and fill up our memory because of which code may crash. So at that time we can use children. This was a brief explanation on generator if you want to know in detail you can check out this blog!
stripped_strings does the same thing which in-built strip() function does. It takes away all the spaces. For eg:-
We have only one element in ul but even then we are using for loop because stripped_strings gives a generator. Output:
See it took away all the spaces.
exit() function is used to exit a program. It is helpful while finding errors or when we want to see code in pieces. If you have written a code of say 100 lines and on 71st line you have written exit() then it will not compile rest of the 29 lines, it will exit right there.
Writing data in CSV:
CSV is a comma separated file which makes writing data very easy. There are two ways of writing data in CSV. Both ways are as follows:
- In this we will open a file and close it. We don’t have to create the file, it will automatically create it.
- In this we will open a file but we don’t have to close it, it will be handled automatically. File will also be automatically created.
- We open the file, in arguments gave it a name with file format. Second argument, i.e. “w” means write format. There are different formats for different things like “r” for reading.
- write() function helps us to write in file. Whatever we want to write, we pass through write() function.
- Close() function is very important, until your file is not closed, your no data is saved. After closing the file, the file is made. So closing it is very important. In 2nd method it’s automatic so we don’t have to worry.
Tip: If you need to hit and try your code and you don't want to run your program again and again because of request.get() or any reason, you can use this tip. This tip helped me alot.
Open your terminal and write:
This command will not let the program end. You can keep writing code in the terminal and it will play that code right there.