YouTube Transcript Scraper - Subtitles, Chapters & AI/RAG API avatar

YouTube Transcript Scraper - Subtitles, Chapters & AI/RAG API

Pricing

from $8.00 / 1,000 extracted youtube video transcript & ai/rag chunks

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YouTube Transcript Scraper - Subtitles, Chapters & AI/RAG API

YouTube Transcript Scraper - Subtitles, Chapters & AI/RAG API

Fast YouTube Transcript Scraper & Subtitle Extractor API. Extract full text, timestamps, video chapters, metadata & semantic RAG chunks. 3-tier self-healing failover. No login needed; works with Apify MCP, LangChain, n8n & Make.

Pricing

from $8.00 / 1,000 extracted youtube video transcript & ai/rag chunks

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YouTube Transcript, Metadata & AI RAG Chunker (99.9% Success Rate)

Ultra-fast, zero-browser 3-Engine YouTube Transcript & Metadata Extractor engineered for AI Agents (MCP), RAG Pipelines, LangChain, n8n, Make.com, and Clay.

Why Switch to This Actor?

  1. 3-Tier Self-Healing Extraction (99.9% Reliability): Automatically cascades across three independent extraction engines (youtube-transcript-api $\rightarrow$ Direct Android InnerTube JSON3 $\rightarrow$ yt-dlp sub-track fallback) so your automations never fail on consent walls or rate limits.
  2. 100% Drop-In Backwards Compatible + Batch Mode: Supports both single videoUrl (for drop-in replacement in existing workflows) and videoUrls array to process hundreds of videos in a single container run.
  3. Rolling-Caption Deduplication: Strips overlapping/repeated auto-caption lines so your LLM tokens aren't wasted on duplicate words.
  4. Built-in Semantic RAG Chunker: Automatically groups segments into token-bounded ragChunks with exact startTime, endTime, and clickable deepLinkUrl (https://youtu.be/{id}?t=120s) for instant citation in vector databases.
  5. Zero-Charge Guardrail: You are never billed for a video that has no captions or fails validation.

Input Parameters

FieldTypeDescription
videoUrlstringSingle YouTube URL, Short, or 11-char Video ID (drop-in compatible).
videoUrlsarrayOptional list of multiple YouTube URLs to process in parallel in one run.
targetLanguagestringISO 639-1 code (en, es, fr, de, etc.). Auto-translates if needed.
chunkSizeWordsintegerWord count per semantic RAG chunk (default: 200).
includeMetadatabooleanInclude title, channel, views, publish date, description, and chapters.

Explore the Full Zero-Proxy AI/RAG & B2B Lead Suite (@church_of_loujess)

All 7 Actors run on 256 MB RAM with zero external proxies and support 1-click MCP integration for Claude Desktop, Cursor, and n8n:

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agChunks
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agChunks
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