YouTube Transcript Scraper Actor Documentation

🎯 Overview

The YouTube Transcript Scraper is a powerful tool designed to extract transcripts from YouTube videos quickly and efficiently. This actor simplifies retrieving textual content from YouTube videos, making it ideal for researchers, content creators, educators, and developers who need video transcripts for analysis, subtitles, or other use cases.

This actor supports publicly available YouTube videos with transcripts enabled, ensuring a hassle-free experience.

🚀 Why Use This API-Based Scraper?

• ⚡ Fast & Reliable: No browser automation - direct API calls
• 🔄 No Rate Limits: ScraperCreators handles YouTube's restrictions
• 📊 Real-time Data: Get current YouTube data instantly
• 🛡️ Bot Detection Free: API bypasses all anti-bot measures
• 📈 Scalable: Handle thousands of requests efficiently
• 💰 Cost Effective: Pay per use, no infrastructure costs

✨ Features

• ✅ Extract transcripts/captions (manual and auto-generated)
• ✅ Multi-language support (en, es, fr, de, it, pt, ru, ja, ko, zh, ar)
• ✅ High-fidelity timestamps with start and duration for each segment
• ✅ Single URL or array input support
• ✅ Clean JSON output ready for immediate use
• ✅ Production-ready with comprehensive error handling
• ✅ Fast processing - 10-minute video in under 2 seconds

🚀 Getting Started

Simply provide the YouTube video URL in the input parameter and run the scraper.

📥 Input Parameters

The actor requires input parameters to function.

Parameter	Type	Default	Description
startUrls	Array	["https://www.youtube.com/watch?v=IELMSD2kdmk"]	Array of YouTube video URLs to extract transcripts from. Can provide single URL or multiple URLs.

📤 Output

The actor outputs transcripts in JSON and table format.

Example Output

{
  "searchResult": [
    {
      "start": "0.320",
      "dur": "4.080",
      "text": "Apache spark an open- Source data"
    },
    {
      "start": "2.480",
      "dur": "3.839",
      "text": "analytics engine that can process"
    },
    {
      "start": "4.400",
      "dur": "3.800",
      "text": "massive streams of data from multiple"
    },
    ...
  ]
}

Key Fields

• videoUrl: The input video URL.
• transcript: An array of objects containing:
  • start: The timestamp indicating when the text appears.
  • dur: The duration of the text segment.
  • text: The transcript text associated with the timestamp.

🎯 Use Cases

• 🤖 AI Chatbots: Feed transcripts into GPT-4 or Claude to create "Ask this Video" features.
• 🔍 Video Search Engines: Build searchable transcript databases.
• 📝 Content Repurposing: Instantly turn video scripts into structured blog posts.
• 🧭 SEO Automation: Generate keyword-rich content from video transcripts.
• 🎮 Video Navigation: Create clickable "chapters" for your own video player.
• ♿ Accessibility: Generate SRT or VTT files for localized subtitles.

⚡ Performance

• 🏃 Speed: A 10-minute video is scraped in less than 2 seconds.
• 💾 Memory: Runs efficiently on systems with 256MB/512MB RAM.
• 🌍 Reliability: Built-in error handling and automatic retry logic.

🔐 Security & Privacy

• 🛡️ No Bot Detection: Bypasses YouTube's "Sign in to confirm you're not a bot" screens.
• ** Clean Extraction**: Only extracts publicly available caption data.

💰 Pricing & Support

• 💵 Cost: $8.5 per 1,000 extractions.
• 📧 Support: Custom features available upon request.
• 🔄 Updates: Regular improvements and language additions.

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🚀 Start using the YouTube Transcript Scraper today to transform video content into actionable data!