- Web Scraping Using Beautifulsoup And Requests
- Web Scraping Online
- Web Scraping With Python Requests
- Web Scraping With Python Beautifulsoup Requests & Selenium
Web sites don’t always provide their data in comfortable formats such as CSV or JSON. This is where web scraping comes in. Web scraping is the practice of using a computer program to sift through a web page and gather the data that you need in a format most useful to you while at the same time preserving the structure of the data. Manually Opening a Socket and Sending the HTTP Request. The most basic way to perform.
Web Scraping Using Beautifulsoup And Requests
Using requests library, we can fetch the content from the URL given and beautiful soup library helps to parse it and fetch the details the way we want. You can use a beautiful soup library to fetch data using Html tag, class, id, css selector and many more ways. In this Python Programming Tutorial, we will be learning how to scrape websites using the Requests-HTML library. Requests-HTML is an excellent tool for parsi. The first thing to check is that if your target website allows for scraping before you start.
It is a well-known fact that Python is one of the most popular programming languages for data mining and Web Scraping. There are tons of libraries and niche scrapers around the community, but we’d like to share the 5 most popular of them.
Most of these libraries' advantages can be received by using our API and some of these libraries can be used in stack with it.
The Top 5 Python Web Scraping Libraries in 2020#
1. Requests#
Need for speed world torrent mac os. Well known library for most of the Python developers as a fundamental tool to get raw HTML data from web resources.
To install the library just execute the following PyPI command in your command prompt or Terminal:
After this you can check installation using REPL:
Web Scraping Online
- Official docs URL: https://requests.readthedocs.io/en/latest/
- GitHub repository: https://github.com/psf/requests
2. LXML#
When we’re talking about the speed and parsing of the HTML we should keep in mind this great library called LXML. This is a real champion in HTML and XML parsing while Web Scraping, so the software based on LXML can be used for scraping of frequently-changing pages like gambling sites that provide odds for live events.
To install the library just execute the following PyPI command in your command prompt or Terminal:
The LXML Toolkit is a really powerful instrument and the whole functionality can’t be described in just a few words, so the following links might be very useful:
- Official docs URL: https://lxml.de/index.html#documentation
- GitHub repository: https://github.com/lxml/lxml/
3. BeautifulSoup#
Probably 80% of all the Python Web Scraping tutorials on the Internet uses the BeautifulSoup4 library as a simple tool for dealing with retrieved HTML in the most human-preferable way. Selectors, attributes, DOM-tree, and much more. The perfect choice for porting code to or from Javascript's Cheerio or jQuery.
To install this library just execute the following PyPI command in your command prompt or Terminal:
As it was mentioned before, there are a bunch of tutorials around the Internet about BeautifulSoup4 usage, so do not hesitate to Google it!
- Official docs URL: https://www.crummy.com/software/BeautifulSoup/bs4/doc/
- Launchpad repository: https://code.launchpad.net/~leonardr/beautifulsoup/bs4
4. Selenium#
Selenium is the most popular Web Driver that has a lot of wrappers suitable for most programming languages. Quality Assurance engineers, automation specialists, developers, data scientists - all of them at least once used this perfect tool. For the Web Scraping it’s like a Swiss Army knife - there are no additional libraries needed because any action can be performed with a browser like a real user: page opening, button click, form filling, Captcha resolving, and much more.
To install this library just execute the following PyPI command in your command prompt or Terminal:
The code below describes how easy Web Crawling can be started with using Selenium:
As this example only illustrates 1% of the Selenium power, we’d like to offer of following useful links:
- Official docs URL: https://selenium-python.readthedocs.io/
- GitHub repository: https://github.com/SeleniumHQ/selenium
5. Scrapy#
Scrapy is the greatest Web Scraping framework, and it was developed by a team with a lot of enterprise scraping experience. The software created on top of this library can be a crawler, scraper, and data extractor or even all this together.
To install this library just execute the following PyPI command in your command prompt or Terminal: 7z for mac download.
We definitely suggest you start with a tutorial to know more about this piece of gold: https://docs.scrapy.org/en/latest/intro/tutorial.html
As usual, the useful links are below:
- Official docs URL: https://docs.scrapy.org/en/latest/index.html
- GitHub repository: https://github.com/scrapy/scrapy
Web Scraping With Python Requests
What web scraping library to use?#
Web Scraping With Python Beautifulsoup Requests & Selenium
So, it’s all up to you and up to the task you’re trying to resolve, but always remember to read the Privacy Policy and Terms of the site you’re scraping 😉.