YouTube Data API Tutorial with Python - Analyze Channel Statistics - Part 1
Published February 23, 2020
This video has 41.1K views and 770 likes, ranking #1,399,849 globally among tracked YouTube videos by view count.
At a glance
Views
41,150
Likes
770
Comments
87
Performance vs. channel
Outlier score
Engagement rate
More features coming
We're working on new analytics and tools. Stay tuned.
About
In this Python Tutorial we will be learning how to work with the YouTube Data API and analyze channel statistics. This is going to be a 4 part series: - Part 1: Setup your app and get API Key, and extract basic channel statistics - Part 2: Get a list of all the videos of a channel - Part 3: Get in depth statistics for…
- Published
- February 23, 2020
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
Frequently asked questions
How accurate are these YouTube video analytics?
View, like, and comment counts come from YouTube's public API and refresh regularly. Growth and revenue figures are estimates built from tracked historical data, so they can differ slightly from what the creator sees privately in YouTube Studio.
What is the outlier score?
How this video's views compare to the channel's usual Shorts or long-form video. A 2x score means double the usual views for that channel, 0.5x means half.
What is engagement rate and how is it calculated?
Likes and comments per view, compared to this channel's typical engagement rate — shown as above or below what's usual for the channel.
How is the revenue estimate calculated?
It's a rough public estimate based on a $0.7–$2.0 CPM (revenue per 1,000 views) applied to view count — not actual creator earnings, which depend on ad rates, audience geography, and monetization settings YouTube doesn't expose publicly.
Is this YouTube video analytics checker free?
Yes. You get 10 free channel and video analytics lookups per rolling hour without an account — logging in, which is also free, removes that limit entirely.