Youtube Vedio Analytic  Scraper avatar
Youtube Vedio Analytic Scraper

Pricing

$7.00/month + usage

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Youtube Vedio Analytic  Scraper

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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0.0

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Developer

Data Pilot

Data Pilot

Maintained by Community

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0

Bookmarked

2

Total users

1

Monthly active users

3 days ago

Last modified

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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

  1. Input: Provide the YouTube video URL in the input field.
  2. Processing: The Actor uses yt-dlp in "info-only" mode to fetch the video's JSON metadata.
  3. 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:

FieldTypeDescription
urlStringThe 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.