🎬 YouTube Video Transcript & Subtitles Scraper [AI Ready]

Lightning-fast YouTube video transcript and subtitles extractor. Extract full timestamped captions, clean plain text, video titles, view counts, and metadata for AI summarization, LLM ingestion, and RAG pipelines.

---

⚡ Key Features

• ⚡ Blazing Fast (HTTP-first): Extracts transcripts in under 1 second per video without heavy browser rendering.
• 🕒 Timestamps & Plain Text: Delivers both structured timestamped arrays ([00:15]) and continuous plain text blocks ready for ChatGPT, Gemini, or Claude.
• 🌐 Multi-Language Support: Extracts original manual captions or auto-generated transcripts with language fallback.
• 📊 Clean JSON/CSV/Text Export: Export directly to JSON, CSV, Excel, or connect to Make, Zapier, LangChain, or LlamaIndex via API.

---

📥 Input Parameters

Parameter	Type	Default	Description
videoUrls	Array	["https://www.youtube.com/watch?v=dQw4w9WgXcQ"]	List of YouTube video URLs or video IDs.
preferredLanguage	String	"en"	Language code for subtitles (e.g. en, es, fr, de, ru).
includeTimestamps	Boolean	true	Include segment timestamp breakdown in the dataset.
proxyConfiguration	Object	{ "useApifyProxy": false }	Optional proxy settings.

---

📤 Sample Output (JSON)

{
  "videoId": "dQw4w9WgXcQ",
  "videoUrl": "https://www.youtube.com/watch?v=dQw4w9WgXcQ",
  "title": "Rick Astley - Never Gonna Give You Up (Official Music Video)",
  "author": "Rick Astley",
  "viewCount": 1500000000,
  "lengthSeconds": 213,
  "captionLanguage": "en",
  "isAutoGenerated": false,
  "hasCaptions": true,
  "fullTranscriptText": "We're no strangers to love. You know the rules and so do I...",
  "segments": [
    { "start": 18.5, "startFormatted": "00:18", "duration": 4.2, "text": "We're no strangers to love" },
    { "start": 22.8, "startFormatted": "00:22", "duration": 3.9, "text": "You know the rules and so do I" }
  ],
  "scrapedAt": "2026-08-17T12:00:00.000Z"
}

---

🚀 Use Cases

• AI Video Summarization: Summarize lengthy podcasts, webinars, and educational videos automatically.
• RAG & Knowledge Bases: Ingest YouTube video transcripts into vector databases (Pinecone, Qdrant, Chroma).
• SEO & Content Repurposing: Turn YouTube videos into blog posts, newsletters, and social media threads.