Keyword-Based Scraping of Youtube Data

Among all other video-sharing websites, YouTube has emerged as the undisputed champion, and its user base is steadily expanding. In comparison, this online video platform is estimated to be worth more than $160 billion. Both the number of people and the amount of money they earn from generating movies on the website are enormous. These content producers sign up for the YouTube partnership program and start to monetize their work, which results in them earning a ton of cash through referral and display adverts. As shown below, YouTube data is useful for various use cases.

Creating a list of keywords

When you run a search to find the most popular videos on YouTube that contain certain words, there are a lot of videos that tell you things in the search results. Where you can scrape information like the likes, dislikes, views, and titles of each of those videos, you could make a list of keywords that, when added to your YouTube titles, can help you make more money.

Compare the Hashtags

By looking at how many likes and views, videos with a certain hashtag have, you can get a better idea of which hashtags to use on your video to make it more popular or which hashtags might go better with the title and content of the video.

Discovering a popular channel

By taking the most popular videos from YouTube, you can make a frequency graph of the channel names that come up when you do a search. So you can find the best channels that people like to watch. In turn, this process will help you figure out what kinds of topics are most popular with YouTube viewers.

Tracking the popularity of channels

By taking the data from a YouTube channel’s newly uploaded videos, you could find out if the channel’s popularity is going up, down, or staying the same. You can also find out which videos are at the top of the charts.

Collecting video views

By getting data from these videos at regular times, you can make a graph with time on the x-axis and likes, dislikes, or views on the y-axis. Since we already talked about installation and initialization in “How to scrape data from the wiki,” we hope you will be able to run the code using the python command by entering a YouTube video URL when asked.

You can get information from YouTube

With a YouTube video’s URL and the Python script and code, you can “scrape” certain data points from the video. Only the hashtags field might be missing from some videos since it’s not required on YouTube video pages. Here are the types of data that can be scraped:

Title

The information we are extracting at the outset is the most crucial piece of information. The video’s title is really important and contains a lot of information. Without it, the rest of the data would be completely meaningless.

Channel name

The Channel name, which appears immediately after the title, is crucial for connecting the title with the creator. Information about the author of the content is available. Videos are often connected with their Channel names rather than their producers, especially on YouTube, where multiple people frequently contribute to a single channel’s video output.

Views count

Finding the number of views a video has gotten is the simplest way to gauge its reach. This is the most crucial YouTube video measure because, in many ways, it defines how much money the video’s producer will make.

Popularity

The number of viewers who enjoyed a YouTube video enough to click the video’s thumbs-up button is simply referred to as the video’s likes. Similar to the previous data point, the number of dislikes would dictate how many times a video’s dislike button would be clicked.

Subscriptions

The number of subscribers provides a more precise notion of how popular the YouTube channel is than the likes, dislikes, and views for a single YouTube video. We don’t have any other metrics for YouTube channels. There is only one piece of information, and the more subscriptions a YouTube channel has, the more popular it is.

Hashtags

The use of hashtags has grown in popularity as a means to make your content searchable across several platforms. People use hashtags with many sorts of online content today so that different types of content can be related together, whether it be Facebook posts or Instagram photographs. This has led to “trending hashtags.”

Frequently asked questions:

The YouTube API is it free?

All YouTube Data API calls will incur usage-based fees. Projects get 10,000 free quota units every day. Quota calculators compute quota expenses. More inquiries can be requested. Cost may change.

What is the API for YouTube Analytics?

YouTube Reporting and YouTube Analytics APIs let you automate reporting tasks, create custom dashboards, and more. The Reporting API supports bulk report retrieval, filtering, sorting, and mining applications.

Can a YouTube playlist be exported to Excel?

You can use the YouTube API SyncWith to extract a list of videos from a large or several playlists you’ve established on YouTube by pulling them into a live-updated Google Sheet or exporting them as CSV for use in Excel, etc.