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Youtube Transcript For Llm

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Instantly extract clean YouTube transcripts and subtitles for your LLM pipelines, RAG systems, and automations. Fast, cost-effective, and production-ready.

Pricing

from $2.50 / 1,000 results

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Developer

Mathias Mileo

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Monthly active users

2 days ago

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YouTube Transcript & LLM Chunker

Extract, clean, and format YouTube video transcripts into token-optimized chunks for RAG pipelines, AI Agents, and LLMs (OpenAI, Claude, Llama).

Built for high reliability with built-in proxy support to bypass YouTube rate limits and anti-scraping protections.

Features

🚀 Instant Extraction: Fetches full YouTube video transcripts in seconds.
🧩 LLM-Ready Chunking: Automatically splits transcripts into configurable chunks for vector databases and embedding models.
🛡️ Anti-Blocking Architecture: Supports Apify Residential Proxies and custom proxies (Webshare, BrightData, etc.).
📊 Rich Metadata: Returns video IDs, URLs, execution status, and processing metrics.
⚡ n8n & Automation Friendly: Designed for seamless integration with n8n, Make, and custom REST API endpoints.

Input Parameters

Parameter	Type	Required	Default	Description
`videoUrl`	String	Yes	—	YouTube Video URL or Video ID (e.g., `https://www.youtube.com/watch?v=...`)
`chunkSize`	Integer	No	`500`	Target chunk size in characters/tokens for LLM processing
`proxyUrl`	String	No	—	Custom proxy URL (e.g., `http://user:pass@host:port`). Encrypted at rest.
`proxyConfiguration`	Object	No	`RESIDENTIAL`	Apify proxy configuration object

Sample Input JSON

{
  "videoUrl": "[https://www.youtube.com/watch?v=JTSiz0W8E_o](https://www.youtube.com/watch?v=JTSiz0W8E_o)",
  "chunkSize": 500,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

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