3 items
Export YouTube Shorts with 1M+ views to Excel YouTube Shorts research should be simple, but right now it takes far more time than it should. If you have ever tried to analyze a YouTube channel to see which Shorts performed well, you already know the problem. YouTube does not provide any option to filter Shorts by views, so finding videos that crossed 1M, 5M, or 10M views means scrolling endlessly and checking each video one by one. YouTube Shorts View Analyzer was built to solve this exact issue. This extension helps creators, marketers, and researchers quickly identify high-performing Shorts on any YouTube channel without manual effort. Instead of guessing or wasting time, you can instantly see which Shorts actually went viral. The extension scans all available Shorts on a YouTube channel and creates a clean list showing the video title, direct Shorts link, and total view count. You can filter results by 1M+, 5M+, or 10M+ views, making it easy to separate average content from truly viral Shorts. This tool is especially useful for YouTube Shorts creators who want to understand what works in their niche, beginners looking for proven content ideas, marketers and agencies analyzing competitor channels, and anyone involved in short-form video research. It helps you spot patterns, formats, hooks, and topics that consistently perform well. Instead of manually opening each Short and noting down views, you can run the extension once and get all the data in seconds. The results can be copied directly or exported as a CSV file for use in Excel or Google Sheets, making further analysis fast and organized. Creators often use this extension to research viral Shorts before choosing a niche, reverse-engineer successful content ideas, validate content strategies using real data, and save hours during the research process. It turns Shorts analysis into a repeatable and efficient workflow. The extension is lightweight and easy to use. No login is required, no setup is needed, and no YouTube account access is required. It works using publicly available YouTube data and does not collect personal information. This extension is completely free to use. There are no subscriptions, no locked features, and no hidden costs. It was created to solve a real problem faced by Shorts creators and researchers. YouTube occasionally updates its interface, which can affect tools like this, but updates will be made as needed to keep the extension working smoothly. Feedback from users helps improve future versions. If you work with YouTube Shorts and want a faster, cleaner way to identify viral content, YouTube Shorts View Analyzer helps you focus on strategy instead of manual scrolling. Install it and make Shorts research simple and data-driven. Instructions To Use To use the extension, first open the YouTube channel you want to analyze. Navigate to the channel’s Shorts page so all Shorts are visible. Once you are on the Shorts page, click on the YouTube Shorts View Analyzer extension icon in your browser. Select the view filter you want to apply. You can choose between 1M+, 5M+, or 10M+ views depending on the level of viral content you want to analyze. After selecting the filter, click the Start button. The extension will scan the Shorts on the channel and display the results inside the extension panel. When the results appear, you can either copy the list directly or export the data as a CSV file for use in Excel or Google Sheets. This allows you to save, sort, and analyze the Shorts data easily.
Jan 2, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.