Youtube Vedio Analytic Scraper
Pricing
$7.00/month + usage
Youtube Vedio Analytic Scraper
📺 YouTube Video Stats Fetcher This Python script uses yt-dlp to quickly extract YouTube video details such as title, uploader name, view count, likes, and comments—without downloading the video. A simple and efficient tool for developers, analysts, and content creators. 🚀
Pricing
$7.00/month + usage
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Data Pilot
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2
Total users
1
Monthly active users
3 days ago
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YouTube Video Stats Extractor
A professional Apify Actor designed to extract metadata and statistics from YouTube videos using yt-dlp. It fetches details like view counts, likes, comments, and uploader information without downloading the video.
🚀 Features
- Lightweight Extraction: Fetches metadata quickly without downloading the actual video file.
- Detailed Stats: Extracts title, uploader name, view count, like count, and comment count.
- Powered by yt-dlp: Uses the most reliable and up-to-date engine for YouTube metadata extraction.
- Structured Output: Results are saved directly to the Apify Dataset for easy export (JSON, CSV, Excel).
🛠️ How It Works
- Input: Provide the YouTube video URL in the input field.
- Processing: The Actor uses
yt-dlpin "info-only" mode to fetch the video's JSON metadata. - Data Storage: The extracted statistics are pushed to the Apify Dataset for analysis.
📥 Input Configuration
The Actor expects an input object with the following property:
| Field | Type | Description |
|---|---|---|
url | String | The full URL of the YouTube video (e.g., https://www.youtube.com/watch?v=...). |
📊 Output Fields
The Actor pushes the following data to the dataset:
- Video Title: The name of the video.
- Uploader: The channel name that uploaded the video.
- Views: Total number of views.
- Likes: Total number of likes.
- Comments: Total number of comments.
💻 Tech Stack
- Language: Python 3.9+
- Engine: yt-dlp
- Environment: Apify Python SDK
📄 License
This project is for educational and personal use only. Please comply with YouTube's Terms of Service.
