audhiaprilliant/Web-Scraping-Covid19-Kompas-News

COVID-19 is a disease caused by a new strain of coronavirus. 'CO' stands for corona, 'VI' for virus, and 'D' for disease. Formerly, this disease was referred to as '2019 novel coronavirus' or '2019-nCoV'. In Indonesia, for making data analysis, we should collected the daily data, which is limited. So, this program will update the data automatically from trusted source, Kompas news as one of the largest news portal in Indonesia

Web Scraping Covid19 Kompas News Using BeautifulSoup Python3

Indonesia

Cite the data: http://datasets.coronawhy.org/dataset.xhtml?persistentId=doi:10.5072/FK2/FMB3QB

@data{FK2/FMB3QB_2020,
author = {audhiaprilliant/Web-Scraping-Covid19-Kompas-News},
publisher = {COVID-19 Data Hub},
title = "{Web Scraping Covid19 Kompas News}",
year = {2020},
version = {V1},
doi = {10.5072/FK2/FMB3QB},
url = {https://doi.org/10.5072/FK2/FMB3QB}
}

Prerequisites

1. Python 3.x, of course
2. Good internet connection is recommended
3. Several python's modules
   • pandas for data manipulation
   • bs4 is a Python library for pulling data out of HTML and XML files
   • os provides functions for interacting with the operating system
   • re provides regular expression matching operations similar to those found in Perl
   • datetime supplies classes for manipulating dates and times
   • requests allows you to send HTTP/1.1 requests extremely easily

Steps

The program is easy to run by following steps:

1. Clone this repo
2. Open your terminal
3. Download the module dependencies by typing pip install -r requirements.txt
4. Type python3 'Web Scraping Covid-19 Kompas News.py'
5. Finally, the data will be in your directory

Output

Two possibilities that we have:

1. Our program captures the up to date data. So the output must be like this one

2. Unluckily, our program is too early running

Automation

We could also automate the program by using crobtab scheduler in Linux. Follow steps below to configure the crontab:

1. Type crontab -e in your terminal to add a new crobjob
2. Specify the scheduler. First, I suggest you to look at here for the detail of scheduler and also the examples
3. Open new terminal and find a directory of our Python3 by typing whereis python3. It must be saved in /usr/bin/python3 directory
4. Back to the first terminal and type 45 16 * * * cd /your path of web scraping script/ && /usr/bin/python3 'Web Scraping Covid-19 Kompas News.py' >> test.out If you feel a little bit confuse with above command, let me tell you what I know
   • 45 16 * * * is our schedule. The crontab uses our local time machine instead of UTC. So our program is going to be running at 16.45 everyday for every month
   • /your path of web scraping script/ must be the directory where you keep the python script. In my case, it is in 'home/covid19 data'
   • /usr/bin/python3 is the directory of Python3 interpreter
   • >> test.out implies that the file test.outwould be created and as logs for the outputs
5. Finally, save the crontab configuration

Dockerfile

Docker is a set of platform as a service (PaaS) products that delivers software in packages called containers. Containers are isolated from one another and bundle their own software, libraries and configuration files; they can communicate with each other through well-defined channels. All containers are run by a single operating system kernel and therefore use fewer resources than virtual machines.

1. Install docker in your terminal
   • Update software repositories sudo apt-get update
   • Uninstall old version of docker sudo apt-get remove docker docker-engine docker.io
   • Install docker sudo apt install docker.io
2. Start and automate docker
   • sudo systemctl start docker
   • sudo systemctl enable docker
3. Build an image with our Dockerfile
   • docker build -t IMAGE_NAME:TAG .
     For example: docker build -t web-scraping-covid-kompas:1.0 .
4. Look for an image we have build
   • docker images
5. Test our container on our local machine
   • docker run USERNAEM/IMAGE_NAME:TAG
     For example: docker run web-scraping-covid-kompas:1.0 .