Sometimes, we want to do some task daily. It seems boring if you do it by yourself, and you waste your time just for doing it. Automation is what we need. By scheduling it at a given time, we can save our time, and let the computer do the task itself.
In this article, I want to show you how to build a COVID-19 dataset for Riau Province, Indonesia using Python to retrieve the dataset and also Cron to schedule the task. If you want to know more, you can check about it on my GitHub repository here.
Riau is a province in Indonesia. Just like other places, this place also fights COVID-19. They have the source of information which is corona.riau.go.id. The front page looks like this,
On the website, it shows the number of cases that exist at the province and regional level. Although it is up to date, they do not show the historical data of it. Just like these pictures below,
Left: The province-level amount of cases, Right: The regional-level amount of cases
Because of that problem, I propose a web scraping technique to record the data and save them as .csv format. After this, I will show you step-by-step on how I scrape the website, and how to automate those task at a given schedule.
The first thing that I do is to scrape the website. To scrape it, I use the bs4 library to extract the text from it. For this case, There are some problems. First, the table that I’ve shown before is from another website, and it’s just a frame at the web. Therefore, we have to get the source of it.
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Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.
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Web automation and web scraping are quite popular among people out there. That’s mainly because people tend to use web scraping and other similar automation technologies to grab information they want from the internet. The internet can be considered as one of the biggest sources of information. If we can use that wisely, we will be able to scrape lots of important facts. However, it is important for us to use appropriate methodologies to get the most out of web scraping. That’s where proxies come into play.
When you are scraping the internet, you will have to go through lots of information available out there. Going through all the information is never an easy thing to do. You will have to deal with numerous struggles while you are going through the information available. Even if you can use tools to automate the task and overcome struggles, you will still have to invest a lot of time in it.
When you are using proxies, you will be able to crawl through multiple websites faster. This is a reliable method to go ahead with web crawling as well and there is no need to worry too much about the results that you are getting out of it.
Another great thing about proxies is that they will provide you with the chance to mimic that you are from different geographical locations around the world. While keeping that in mind, you will be able to proceed with using the proxy, where you can submit requests that are from different geographical regions. If you are keen to find geographically related information from the internet, you should be using this method. For example, numerous retailers and business owners tend to use this method in order to get a better understanding of local competition and the local customer base that they have.
If you want to try out the benefits that come along with web automation, you can use a free web proxy. You will be able to start experiencing all the amazing benefits that come along with it. Along with that, you will even receive the motivation to take your automation campaigns to the next level.
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The Beautiful Soup module is used for web scraping in Python. Learn how to use the Beautiful Soup and Requests modules in this tutorial. After watching, you will be able to start scraping the web on your own.
📺 The video in this post was made by freeCodeCamp.org
The origin of the article: https://www.youtube.com/watch?v=87Gx3U0BDlo&list=PLWKjhJtqVAbnqBxcdjVGgT3uVR10bzTEB&index=12
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Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.
Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is
Syntax: x = lambda arguments : expression
Now i will show you some python lambda function examples:
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When scraping a website with Python, it’s common to use the
Requestslibraries to send
GETrequests to the server in order to receive its information.
However, you’ll eventually need to send some information to the website yourself before receiving the data you want, maybe because it’s necessary to perform a log-in or to interact somehow with the page.
To execute such interactions, Selenium is a frequently used tool. However, it also comes with some downsides as it’s a bit slow and can also be quite unstable sometimes. The alternative is to send a
POSTrequest containing the information the website needs using the request library.
In fact, when compared to Requests, Selenium becomes a very slow approach since it does the entire work of actually opening your browser to navigate through the websites you’ll collect data from. Of course, depending on the problem, you’ll eventually need to use it, but for some other situations, a
POSTrequest may be your best option, which makes it an important tool for your web scraping toolbox.
In this article, we’ll see a brief introduction to the
POSTmethod and how it can be implemented to improve your web scraping routines.
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