Web scraping is a popular and easiest method to extract, collect, and then use data from the internet. You, as a data expert or a python programmer, will never say no to website scraping python projects since we all know that it is, in actuality, an effective method of collecting data.
But when we search the ‘best python libraries for website scrappers,’ there comes a list of hundreds of libraries and python frameworks. People get confused with that list and are unable to find the right one for them.
Here we are going to share some popular python libraries for website scrappers that can help them out whenever they need to extract and use user data from any site you want.
So let’s get started with our main topic.
5 Best Python Libraries for Website Scrapers
Python brings a long list of exciting libraries for website scrapers, but we managed to discuss only the best ones in this article to give you a good experience out there with these libraries.
Here are our top 5 python libraries that we are going to discuss one by one
Let us jump straight onto our first python library.
Scrapy is a python library for website scrapers that is free to use and open source. It is mainly meant for bulk web scraping and web crawling. You can write functions in the spider that will crawl through your desired web and extract structured data for you. In this way, using Scrapy, you can easily validate important data from the internet.
If we talk about its interface, we must say that it is quite user-friendly and simple to use. The documentation of this robust framework is somehow difficult to read for new users, especially for beginners. But don’t worry, you can develop a good understanding after some hands-on practice.
How to Install Scrapy
The installation process is pretty simple. Just type the following command, and you are all set to get started with it after installation.
pip install Scrapy
- Best for fulfilling large web scraping needs.
- Simple to install.
- Needs less storage.
- Allow you to accomplish your task with full flexibility.
- Super customizable.
- Open source python library.
- For beginners, it isn’t that easy to understand.
- Takes time to install.
Selenium is an open-source and free-to-use tool that was developed by Jason Huggins n 2004. Lawson created this amazing tool to test web applications. Later on, it was provided with great features and advancements that made it a super useful website scraper.
The usage is quite simple. You need to open your desired web page, and you will get results by just pressing a button. Adding on, it is beginner-friendly and simple to learn enough so that your grandma can also learn and use it. Its automated testing system allows you to code to mimic human behavior.
In short, if you are new to the web scraping world, then Selenium is a perfect tool to get started with.
- Portable and robust framework.
- Supports multiple languages.
- Beginner-friendly and easy to learn.
- It needs large memory to get installed.
- Uses CPU at a high rate.
How to Install Selenium
Insert the following command to get Selenium installed.
pip install Selenium
If you are looking for a python library enriched with features, then LXML is the library that you should use for website scraping. It is a mature binding library and mainly a parser for other libraries. Also, it is much convenient and safe for collecting data directly through the internet or indirectly from various other scraping libraries.
With the help of it, you can handle HTML and XML files very easily. If you are a beginner, this library is more than perfect for you to learn the basics of website scraping and how to do it effectively.
- Enriched with amazing features.
- High-quality website scraping
- Perfect to use as a parser.
- Documentation is not satisfactory.
How to install LXML
To install LXML directly using pip, you can use the following command.
sudo apt-get install python3-lxml
You can also install it with conda run by using the following command.
conda install -c anaconda lxml
BeautifulSoup is also counted in the best Python libraries for website scrapers because it acts as a parser for HTML and XML files or documents. It was formulated by Leonard Richardson, who made it a quite fast and robust framework to save you as much time as possible. Its different plugins allow you to go through and use different ways of searching and navigating data on the internet, and its effective collection.
We consider this library to be the best library for pulling out data from HTML and XML files. Also, with its feature enrichment, you can call it the best Python library for website scrapers.
- Extremely easy to learn.
- Robust and reliable framework.
- Featured with encoding detector.
- Easy to extract data out of HTML
- Easier to write snippets.
- It doesn’t produce extensible and flexible projects.
How to Install BeautifulSoup
The pip installation of BeautifulSoup is not less than a child’s play. Just enter the following command to install it on your PC.
pip installs beautifulsoup4.
You can also install it with conda run by using the following command.
conda install -c anaconda beautifulsoup4
Requests is a very simple to use Python library that was released under Apache License 2.0 in 2011. The main objective of this library was to make HTTP requests modest. It is easier with Requests to interact with language as a human.
In short, your work as human contracts and shrinks to zero, and all the addition of query strings in URLs is done by this library. Sounds amazing, right?
Also, Requests is a popular and robust library that is massively used by developers worldwide to extract sensitive data in bulk quantity out of thousands of websites. Isn’t it the best Python library for website scraper? Indeed it is.
Let’s discuss its advantages.
- It makes the web scraping process easier and simpler.
- Easy-to-read documentation.
- Special cookie session.
- Offers a sheer focus on your goal.
- Allows extracting bulk information.
- Makes the evaluation process pretty simpler
How to install Requests
There can be two ways to install Requests.
- Using pip
- Using conda
Use the following commands respectively.
Command for pip using
pip install requests.
Command for conda using
conda install – c anaconda requests
In today’s world, we are gathered by huge databases that it has become a challenge for us to collect and save that data effectively. Thanks to these python libraries for website scraper that have made web scraping easy.
Also, one cannot even imagine collecting data from various sites without using these scrapers. But there is a lot of confusion all around that which library is perfect for web scraping.
To clear that confusion, we have shared the best python libraries in this post to give you a clear picture of what you can use for collecting data effectively. This is all because we know how important it is to get a good library to save time and effort while collecting data.
So try these libraries and choose the one that best suits you and your work type.
Also, let us know which library you found the most beneficial and which was just fine. We love to update our data based on the reviews of our audience.