It turned out to be very simple because all the data was already in JSON format. So, I thought of using basic crawling techniques and automate a task and provide the same as an example for this article. I had an idea about listing themeforest top selling theme and updating weekly on this blog. Themeforest updates its weekly top selling themes here
BEAUTIFULSOUP GET PLAIN TEXT OF MARKUP HOW TO
I will show you how to get themeforest top selling themes into a CSV file. This might look confusing but I will explain everything with an example.
We can parse it into the Beautifulsoup and simply get “Hellow, world” by Beautifulsoup(‘html_content’, ‘html.parser’).find(‘span’, id=’my-text’).get_text() For example, if we need a text located in “Hello, world”. The raw HTML content needs to be parsed to get the selected elements or the only elements that we are looking to extract. The main purpose of the Beautifulsoup4 is to parse HTML contents that we get from the requests library. You can learn more about it in its documentation Beautifulsoup (bs4) Some of the basic features of Requests library areīasically, it supports every feature that a modern web requires. Requests is used to send a request to a remote server and Beautifulsoup is used to parse HTML. Requests and Beautifulsoup4 are very powerful libraries built in python. I will explain how we can perform web scraping using Python3, Requests, and Beautifulsoup4. Those collected data can later be used for analysis or to get meaningful insights. Web scraping is the technique of collecting data from web sites into a well-structured format like CSV, XLS, XML, SQL, etc.