Now, we will create a new API key for public API access. Go to the APIs section on the left and enable the YouTube Data API v3 just like it is depicted in the snapshot below (click it if you are unable to make out the text in the image). Once the project is created, you will be automatically re-directed to the dashboard for the project: There you can choose to enable the APIs you want for your application. We will be using Google’s YouTube Data API, some Python wrappers for the same and the pandasframework to analyze the data.įirst, we would need to go to the Google Developers Console and create a new project just like the snapshot shown below. I won’t be delving into the depths of data analytics here but I will provide you enough information to get started with data mining from YouTube.
Google trends rest api how to#
In the next part, I will discuss how to get interesting statistics from YouTube based on a search keyword and do some basic analysis. Interestingly, we can also get a lot of interesting statistics from these videos besides just watching them, thanks to some great APIs provided by Google. One must remember however that this data is purely based on data tracked by Google searches.Ĭoming to YouTube, it is perhaps the most popular video sharing website and I am sure all of you have at least watched a video on YouTube. Apple’s ‘iOS’ gained popularity sometime around 2010. Interestingly, from the above visualization, we see that ‘Windows Mobile’ was quite popular from 2007 till mid 2009 when the popularity of ‘Android’ just skyrocketed. A typical comparison of people’s interest in different mobile operating systems over time is shown below. Google gets the data based on the number of times people have searched for it online. We can also customize visualizations to see how specific topics are trending across the internet by specifying then in the interface and the results are shown in the form of a beautiful visualization. This is not all that Google Trends has to offer. You can also click on any particular panel to explore it in detail. On opening it, you will be greeted by an interactive dashboard, showing the current trending topics summarized briefly just like the snapshot shown below. For this, you need to go to the Google Trends website. Now, we will be looking at how easy it is to visualize trending topics on Google Trends without writing a single line of code. If you want to know how we can perform data mining using Twitter, refer to my earlier post “ Building a Twitter Sentiment Analysis App using R” which deals with getting data from Twitter and analyzing it. Today, I will discuss two such ways we can do this, namely Google Trendsand YouTube. A few of the popular ones are listed below. There are different social media channels where people post a wide variety of content ranging from personal opinions to videos and pictures.
This made me wonder if there was a way to see some of these trends and the impact it is causing on social media. Another thing we notice quite often is that whenever a new product is launched or in the process of being launched, it starts trending on different social media websites.
Google trends rest api android#
We regularly see fan wars breaking out between Apple and Android fanatics (no offence to Windows mobile lovers!) on social media where each claim that they are better than the rest. In today’s world dominated by technology and gadgets, we often wonder how well a particular product or technology is being perceived by society and if it is truly going to leave a long lasting impression.
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