YouTube Advanced Metadata Scraper

🚀 YouTube Advanced Metadata Scraper is a cutting-edge Apify Actor designed to scrape YouTube Advanced Metadata from YouTube video URLs using browser automation. This tool provides comprehensive YouTube Advanced Metadata, including titles, channel details, view counts, upload dates, like information, comment counts, and full descriptions. Whether you're analyzing YouTube Advanced Metadata for content research, SEO optimization, or video performance tracking, the YouTube Advanced Metadata Scraper delivers detailed YouTube Advanced Metadata efficiently.

With browser-based scraping, the YouTube Advanced Metadata Scraper ensures accurate extraction of dynamic YouTube Advanced Metadata that may not be available through simple API calls. It focuses on key YouTube Advanced Metadata metrics like engagement data and timestamps, making it an essential tool for YouTube Advanced Metadata analysis and content strategy.

🔥 Features

• Comprehensive YouTube Advanced Metadata Extraction – Scrapes detailed YouTube Advanced Metadata, including titles, channel names, logos, views, dates, likes, comments, and descriptions for any YouTube video URL.
• Browser Automation – Uses Playwright for headless browser scraping to access fully rendered YouTube Advanced Metadata, ensuring accuracy for dynamic content.
• Advanced Comment Loading – Scrolls and waits to load YouTube Advanced Metadata comments section for precise comment counts.
• Description Expansion – Automatically expands YouTube Advanced Metadata descriptions to reveal upload dates and full text.
• Batch Processing – Processes multiple YouTube Advanced Metadata URLs in a single run for efficient YouTube Advanced Metadata data collection.
• Error Handling – Robust logging and fallback mechanisms for failed YouTube Advanced Metadata scrapes.
• Dataset Integration – Automatically uploads YouTube Advanced Metadata data to your Apify dataset for easy export and analysis.

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⚙️ How It Works

The YouTube Advanced Metadata Scraper takes one or more YouTube video URLs as input and uses Playwright to launch a headless browser, navigate to each URL, and extract YouTube Advanced Metadata. It performs actions like expanding descriptions and scrolling to load comments for complete YouTube Advanced Metadata retrieval. The scraper returns structured YouTube Advanced Metadata data on success or error details on failure, providing a reliable way to gather advanced YouTube Advanced Metadata.

Key Processing Steps:

1. Browser Launch – Initialize headless Playwright browser
2. Navigation – Visit YouTube video URL
3. Page Load – Wait for page to fully render
4. Metadata Extraction – Extract visible metadata
5. Description Expansion – Click "Show More" to reveal full description
6. Comment Loading – Scroll and load comments section
7. Data Compilation – Aggregate all extracted data
8. Export – Push to dataset in JSON format

Key benefits for YouTube Advanced Metadata analysis:

• Access complete YouTube Advanced Metadata including hidden or dynamically loaded elements.
• Analyze YouTube Advanced Metadata performance metrics for content optimization.
• Build YouTube Advanced Metadata databases for video research and analytics.
• Track timestamp and engagement data across videos.
• Research channel information and branding elements.

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📥 Input

The scraper accepts the following input parameters:

Field	Type	Default	Description
urls	string / array	required	List of YouTube video URLs to scrape YouTube Advanced Metadata from (e.g., "https://www.youtube.com/watch?v=...").
waitTime	integer	5	Wait time in seconds for page loading and interactions (1-30).

Example input JSON:

{
  "urls": ["https://www.youtube.com/watch?v=example1", "https://www.youtube.com/watch?v=example2"],
  "waitTime": 10
}

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📤 Output

The scraper outputs detailed YouTube Advanced Metadata in JSON format for each URL. Each record includes:

Field	Type	Description
TITLE	string	Title of the YouTube video.
CHANNEL_NAME	string	Name of the YouTube channel.
CHANNEL_LOGO	string	URL of the channel logo/avatar.
VIEWS	string	View count of the YouTube video.
DATE	string	Upload date of the YouTube video.
LIKES_INFO	string	Like information (formatted as display text).
COMMENTS_COUNT	string	Number of comments on the YouTube video.
DESCRIPTION	string	Full description of the YouTube video.
LINK	string	Original YouTube video URL.
SCRAPED_AT	string	Timestamp of the YouTube Advanced Metadata scrape.

Example output for successful YouTube Advanced Metadata:

{
  "TITLE": "Example YouTube Video",
  "CHANNEL_NAME": "Example Channel",
  "CHANNEL_LOGO": "https://example.com/logo.jpg",
  "VIEWS": "1,000,000 views",
  "DATE": "Jan 1, 2023",
  "LIKES_INFO": "1.2K likes",
  "COMMENTS_COUNT": "500",
  "DESCRIPTION": "This is the full description of the video with all details...",
  "LINK": "https://www.youtube.com/watch?v=example",
  "SCRAPED_AT": "2025-02-14T12:00:00Z"
}

Example error response:

{
  "LINK": "https://www.youtube.com/watch?v=invalid",
  "ERROR": "Video not found or unavailable",
  "SCRAPED_AT": "2025-02-14T12:00:00Z"
}

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🧰 Technical Stack

• Language: Python 3.11+ (async/await)
• Browser Automation: Playwright – Fast, headless browser automation
• Page Interaction: DOM manipulation and element interaction
• Data Parsing: BeautifulSoup – HTML parsing and extraction
• Async Engine: asyncio – Concurrent processing for efficiency
• Storage: JSON export with organized dataset structure
• Platform: Apify Actor – serverless, scalable, integrated with Dataset and Key‑Value Store
• Deployment: One‑click run on Apify Console or via REST API

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🎯 Use Cases

• Content Research – Extract YouTube Advanced Metadata for comprehensive content analysis.
• SEO Optimization – Analyze YouTube video metadata for SEO insights and optimization.
• Video Performance Tracking – Monitor engagement metrics across video collections.
• Channel Analysis – Research channel information and branding elements.
• Competitor Analysis – Analyze competitor video metadata and performance.
• Content Strategy – Use metadata insights to inform content creation strategy.
• Engagement Research – Study engagement patterns through comments and likes data.
• Viral Content Analysis – Identify characteristics of highly engaged videos.
• Academic Research – Collect YouTube metadata for research studies.
• Market Research – Research industry content and trends through YouTube.
• Influencer Analysis – Analyze influencer video performance and audience engagement.
• Trend Analysis – Identify trending topics and video characteristics.
• Brand Monitoring – Track brand-related video content and performance.
• Content Database Building – Create comprehensive databases of YouTube video metadata.

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🚀 Quick Start

1. Open in Apify Console – visit the Actor page and click Try for free.
2. Enter YouTube video URLs – provide one or more YouTube video URLs.
3. Set wait time – adjust wait time for page interactions (default 5 seconds).
4. Click Start – the Actor will scrape YouTube Advanced Metadata using browser automation.
5. View Results – check the dataset for extracted metadata.
6. Download Media – save channel logos and other assets if needed.
7. Export – download the results as JSON, CSV, or Excel.

You can also call this Actor programmatically via Apify SDK or REST API – ideal for automated YouTube content analysis and research pipelines.

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💎 Why Use This Scraper?

Feature	Benefit
✅ Browser automation	Access fully rendered pages for accurate metadata.
✅ Complete metadata	Get all visible and hidden YouTube Advanced Metadata.
✅ Dynamic content	Handle JavaScript-rendered content properly.
✅ Comment loading	Scroll and load full comments section.
✅ Description expansion	Reveal full descriptions and upload dates.
✅ Channel information	Extract channel logos and names.
✅ Batch processing	Process multiple videos efficiently.
✅ Apify ecosystem	Seamless integration with other Actors, triggers, and webhooks.

📦 Changelog

• Initial release of YouTube Advanced Metadata Scraper
• Browser automation with Playwright for accurate metadata extraction
• Comprehensive metadata extraction including titles, channels, and logos
• Dynamic content handling with JavaScript rendering support
• Comment section loading and counting
• Description expansion for full metadata retrieval
• Batch processing for multiple videos
• Error handling with detailed error messages
• Real-time progress tracking and logging
• Full Apify Actor integration
• Dataset export with organized structure

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🧑‍💻 Support & Feedback

• Issues & Ideas: Open a ticket on the Apify Actor issue tracker
• Documentation: Visit Apify Docs for comprehensive platform guides
• Community: Join the Apify community forum for discussions and support
• Bug Reports: Submit detailed bug reports through the issue tracker
• Feature Requests: Suggest new features to improve the scraper

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💰 Pricing

• Free for basic usage on Apify platform
• Paid plans available for higher limits and priority support
• Compute credits consumed for browser automation and processing
• Storage credits consumed for dataset storage

Disclaimer: YouTube Advanced Metadata Scraper is provided as-is for research and analysis purposes. Users are responsible for ensuring their usage complies with YouTube's policies and applicable laws. Browser automation may consume significant compute resources.

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🎉 Get Started Today

Begin extracting YouTube Advanced Metadata now!

Use YouTube Advanced Metadata Scraper for:

• 📊 Content Research
• 🔍 SEO Optimization
• 📈 Performance Analysis
• 💡 Strategy Development
• 🎯 Competitive Analysis

Perfect for:

• Content Creators
• SEO Specialists
• Researchers
• Data Analysts
• Marketing Professionals

📚 Related Tools

For comprehensive YouTube analysis, explore our full suite of tools:

• YouTube Comment Scraper
• YouTube Video Analytics Scraper
• YouTube Metadata Extractor
• YouTube Trending Videos Tracker
• YouTube Channel Analytics

Your complete YouTube analysis and research solution! 🚀✨