YouTube Video Analytics Scraper

🚀 YouTube Video Analytics Scraper is a robust Apify Actor designed to scrape YouTube Video Analytics data from YouTube video URLs. This tool provides comprehensive YouTube Video Analytics, including view counts, like counts, comment counts, and uploader details. Whether you're analyzing YouTube Video Analytics for content performance, channel research, or video marketing insights, the YouTube Video Analytics Scraper delivers detailed YouTube Video Analytics efficiently.

With residential proxy support, the YouTube Video Analytics Scraper ensures reliable and undetected scraping of YouTube Video Analytics. It focuses on key YouTube Video Analytics metrics like engagement rates and viewer data, making it an essential tool for YouTube Video Analytics analysis and content strategy.

🔥 Features

• Comprehensive YouTube Video Analytics Extraction – Scrapes detailed YouTube Video Analytics, including views, likes, comments, and metadata for any YouTube video URL.
• Batch Processing – Processes multiple YouTube Video Analytics URLs in a single run for efficient YouTube Video Analytics data collection.
• Residential Proxy Support – Utilizes Apify's residential proxies to bypass restrictions and ensure high success rates for YouTube Video Analytics scraping.
• Metadata Retrieval – Extracts YouTube Video Analytics metadata like titles, uploaders, and engagement metrics for in-depth YouTube Video Analytics analysis.
• Error Handling – Robust logging and fallback mechanisms for failed YouTube Video Analytics scrapes.
• Dataset Integration – Automatically uploads YouTube Video Analytics data to your Apify dataset for easy export and analysis.

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⚙️ How It Works

The YouTube Video Analytics Scraper takes one or more YouTube video URLs as input and usesto fetch YouTube Video Analytics data without downloading videos. It configures with residential proxies for reliable scraping. The scraper returns structured YouTube Video Analytics data on success or error details on failure, providing a fast way to gather YouTube Video Analytics.

Key benefits for YouTube Video Analytics analysis:

• Track YouTube Video Analytics engagement metrics like views and likes.
• Analyze YouTube Video Analytics performance for content optimization.
• Build YouTube Video Analytics databases for channel and video research.
• Monitor video popularity trends over time.
• Research audience engagement patterns.

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📥 Input

The Actor accepts the following input parameters:

Field	Type	Default	Description
urls	string	required	List of YouTube video URLs to scrape YouTube Video Analytics from, one per line (e.g., "https://www.youtube.com/watch?v=...").
useApifyProxy	boolean	true	Enable residential proxies for YouTube Video Analytics scraping.
apifyProxyGroups	array	["RESIDENTIAL"]	Proxy groups to use (e.g., ["RESIDENTIAL"]).

Example input JSON:

{
  "urls": "https://www.youtube.com/watch?v=example1\nhttps://www.youtube.com/watch?v=example2",
  "useApifyProxy": true,
  "apifyProxyGroups": ["RESIDENTIAL"]
}

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📤 Output

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

Field	Type	Description
url	string	Original YouTube video URL.
title	string	Title of the YouTube video.
uploader	string	Uploader/Channel name of the YouTube video.
views	integer	Number of views for the YouTube Video Analytics.
likes	integer	Number of likes for the YouTube Video Analytics.
comments	integer	Number of comments for the YouTube Video Analytics.
status	string	Status of the scrape ("success" or "failed").
scraped_at	string	ISO timestamp of the YouTube Video Analytics scrape.

Example output for successful YouTube Video Analytics:

{
  "url": "https://www.youtube.com/watch?v=example",
  "title": "Example YouTube Video",
  "uploader": "Example Channel",
  "views": 1000000,
  "likes": 50000,
  "comments": 1000,
  "status": "success",
  "scraped_at": "2025-02-14T12:00:00Z"
}

Example error response:

{
  "url": "https://www.youtube.com/watch?v=invalid",
  "status": "failed",
  "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)
• Core Library: – YouTube data extraction library.
• Proxy: Apify Proxy with RESIDENTIAL support for reliable access.
• 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 Performance Analysis – Analyze YouTube Video Analytics to understand video performance.
• Channel Research – Evaluate channel performance through YouTube Video Analytics.
• Competitor Analysis – Analyze competitor YouTube Video Analytics for competitive insights.
• Content Strategy – Use YouTube Video Analytics to inform content creation strategy.
• Engagement Benchmarking – Compare engagement metrics across different videos.
• Trend Analysis – Identify trending video topics through YouTube Video Analytics.
• Creator Research – Research creator performance and engagement patterns.
• Video Marketing – Measure video marketing campaign effectiveness.
• Campaign Measurement – Measure campaign effectiveness through YouTube Video Analytics.
• Audience Insights – Understand audience preferences through YouTube Video Analytics.
• Social Media Research – Collect YouTube Video Analytics for social media studies.
• Academic Research – Gather YouTube Video Analytics data for research purposes.
• Market Research – Conduct market research using YouTube Video Analytics.
• ROI Analysis – Analyze return on investment for YouTube marketing efforts.

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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 (one per line).
3. Enable residential proxies – enabled by default for reliable scraping.
4. Click Start – the Actor will scrape YouTube Video Analytics.
5. View Results – check the dataset for analytics data.
6. Analyze Data – use the metrics for content analysis and optimization.
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 Video Analytics collection and analysis pipelines.

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💎 Why This Actor?

Feature	Benefit
✅ Comprehensive metrics	Get views, likes, comments, and metadata.
✅ Batch processing	Analyze multiple videos in one run.
✅ Uploader information	Track content creators and channel details.
✅ Residential proxies	Bypass restrictions – reliable YouTube access.
✅ No downloads needed	Extract analytics without downloading videos.
✅ Fast scraping	Get analytics quickly with optimized requests.
✅ Error handling	Robust fallback mechanisms for reliability.
✅ Apify ecosystem	Seamless integration with other Actors, triggers, and webhooks.

📦 Changelog

• Initial release with YouTube Video Analytics scraping.
• Comprehensive metrics extraction (views, likes, comments).
• Uploader and title information retrieval.
• Batch processing for multiple videos.
• Residential proxy support for reliability.
• Error handling with detailed error messages.
• Metadata extraction for detailed analysis.
• Automatic dataset integration.
• Full Apify Actor integration.

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🧑‍💻 Support & Feedback

• Issues & Ideas: Open a ticket on the Apify Actor issue tracker.
• Contributions: Pull requests are welcome via the GitHub repository.
• Documentation: Visit Apify Docs for platform guides.
• Community: Join the Apify community forum for discussions and support.

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💰 Pricing

• Free for basic usage on Apify platform.
• Paid plans available for higher limits and priority support.
• Proxy credits consumed based on residential proxy usage.

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