Run the below cell to perform a youtube search by API calling and will save the data in the list. Search: It will be used to find the information about the channel by providing the “channel name” as search parameters and retrieve the channel, which will be useful for retrieving statistics, uploaded videos.Ĭhannel: It contains information about youtube channels including total subscribers of the channel, total uploaded videos, total likes/dislikes, comments on all videos, and other information. Some of the resources available to retrieve which are used in the following steps are: For now, you ‘re going to retrieve function only and for that, there is no need for authorization while generating API. There are many resources available with this API to retrieve.Īpart from this, there are some other functionalities supported by this API to insert, update or delete on youtube, but for that, there is need of authorization while generating API. “YouTube Data API” provides so many functions to retrieve all kinds of data from the youtube of particular channels, videos or playlists, and many more. Now it's time to use that API, so here set some parameters to be used in future steps including “youtube API key”, version of API. pandas, google client library,Īs explained above, you have generated the YouTube API key from the google console page. So the first step towards this is to import the required libraries as mentioned above i.e. Now it's time to start with the coding part to get insights from youtube data. To install these in windows run the below commands in the command prompt. You will be using google api python client library to access youtube data and pandas library to apply exploratory data analysis on the extracted data. In the google collab, all the libraries are pre-built but while using in jupyter notebook or any other editor you have to install using pip command. Now just create a new folder in google drive for this project and run the below cell.
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