Async IO can be used to speed up programs with many HTTP requests. I will show you how you can use Async IO & HTTPX to do just that.
If you have some experience with Python, chances are good that you have used the Requests library at some point. It is a wonderful library for making HTTP requests and interacting with APIs.
The advantage of Requests is that it’s simple and syntactically sweet. The disadvantage is that it currently doesn’t work with Async IO — which can be really slow if you are dealing with many HTTP requests.
HTTPX is a new HTTP client with async support. It is very similar to Requests. In this tutorial, I will create a program with requests, give you an introduction to Async IO, and finally use Async IO & HTTPX to make the program much faster.
This tutorial assumes you have used Python’s Request library before.
In this article, you're going to learn the basics of web scraping in python and we'll do a demo project to scrape quotes from a website.
In the programming world, Data types play an important role. Each Variable is stored in different data types and responsible for various functions. Python had two different objects, and They are mutable and immutable objects.
![Web Scraping With Python](https://miro.medium.com/max/3840/1*__fCMPzS-15OrfzeXyIOXA.png "Web Scraping With Python") Web scraping helps in automating data extraction from websites. In this tutorial, we will build an Amazon scraper for extracting...
There is an inordinate amount of data online that is available to be accessed. Knowing how to retrieve and analyze this data is an extremely useful skill to have. In this tutorial, we will use the python requests and Beautiful Soup libraries for quickly web scraping such data.
This Edureka live session on "web scraping using Python" will help you understand the fundamentals of scraping along with a demo.