YouTube Video Details Scraper

Overview

The YouTube Video Details Scraper is an automated actor that extracts structured public metadata from YouTube videos. It's designed for developers and analysts who need to collect video data at scale, bypassing the limitations and rate restrictions of manual collection or the official API. You can use it to scrape data from individual videos, entire playlists, or search results.

Key Features

• Bulk Data Extraction: Scrape details from single videos, playlists, or search result sets in a single run.
• Comprehensive Data Points: Extracts titles, descriptions, tags/hashtags, view/like counts, comment counts, channel information (name, URL, subscribers), upload date, duration, and thumbnail URLs.
• Flexible Integration: Works as a hosted Apify actor, can be integrated with Python scripts, or run via CLI. Compatible with common developer workflows.
• Structured Export: Outputs data in JSON, CSV, or Excel formats for easy import into databases, analytics tools, or CRMs.
• Proxy Support: Includes proxy rotation to improve reliability and reduce the chance of being blocked during large scraping jobs.

How to Use

1. Access the Actor: Find the "YouTube Video Details Scraper" on the Apify platform or via its API.
2. Configure Input: Provide the actor with YouTube URLs. This can be one or multiple video links, playlist URLs, or channel URLs. Some configurations also accept search queries.
3. Run the Actor: Start the scraper. It will navigate to the provided URLs and extract the specified metadata.
4. Retrieve Output: Once the run is complete, download the collected dataset from the Apify console or via API in your chosen format (JSON, CSV, Excel).

Input/Output

Input: The primary input is a list of YouTube URLs (video, playlist, or channel). Input is typically provided via the Apify console, a structured JSON configuration, or the API.

Example input configuration:

{
  "startUrls": [
    { "url": "https://www.youtube.com/watch?v=VIDEO_ID_1" },
    { "url": "https://www.youtube.com/playlist?list=PLAYLIST_ID" }
  ]
}

Output: The actor returns a structured dataset. Each item in the dataset represents a scraped video and contains the following key fields (formatted as JSON, CSV, etc.):

• title
• description
• tags
• viewCount
• likeCount
• commentCount
• channelName
• channelUrl
• uploadDate
• duration
• thumbnailUrl

The data is ready for direct analysis or integration into other systems.