YouTube Transcript & Metadata Scraper (RAG)
Pricing
$1.50 / 1,000 transcript extracteds
YouTube Transcript & Metadata Scraper (RAG)
Ultra-fast YouTube Transcript & Metadata Extractor via internal Innertube API. Extract timestamped transcripts, plain text, LLM-ready Markdown, chapters, views, and channel data from URLs, Video IDs, or Search Queries. 80% cheaper ($1.25/1k).
Pricing
$1.50 / 1,000 transcript extracteds
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Cedric poma
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YouTube Transcript, Chapters & Metadata Scraper (AI / RAG Ready)
Extract YouTube video transcripts, timestamps, chapters, and full video metadata in milliseconds using YouTube's lightweight internal Innertube API — no headless browser required.
Built specifically for AI Agents, RAG pipelines, n8n, Make, Zapier, and bulk research workflows.
Why Use This YouTube Transcript Scraper?
| Feature | Legacy Browser Scrapers ($5 - $10 / 1k) | YouTube Transcript Pro ($1.25 / 1k) |
|---|---|---|
| Price per 1,000 Videos | $5.00 – $10.00 | $1.25 / 1,000 results |
| Execution Speed | 8 – 25 seconds per video | < 0.4 seconds per video |
| Memory Footprint | 2,048 MB – 4,096 MB (Chromium) | 128 MB RAM (Pure HTTP) |
| Input Flexibility | Video URLs only | Video URLs, Shorts, Video IDs + Keyword Search |
| AI / LLM Output | Raw text only | Clean Text + Timestamped JSON + RAG Markdown + Chapters |
Key Features
- Direct URLs, Shorts & Video IDs: Pass any standard
youtube.com/watch?v=...,youtu.be/...,youtube.com/shorts/..., or raw 11-character Video ID. - Built-in Keyword Search: Pass
searchQueries(e.g.,["AI agents tutorial", "n8n automation"]) to automatically discover top videos and extract their full transcripts in a single run. - Multi-Language Support: Specify your
preferredLanguage(en,fr,es,de,pt,ja, etc.) with automatic fallback to manual or auto-generated (asr) captions. - Description Chapter Parsing: Automatically extracts chapters (
00:00 Intro,02:15 Architecture, etc.) from the video description. - LLM / RAG Markdown Output: Generates a structured
ragMarkdownfield ready to feed directly into OpenAI, Claude, Gemini, Pinecone, Qdrant, or n8n AI nodes.
Input Example
{"videoUrls": ["https://www.youtube.com/watch?v=dQw4w9WgXcQ"],"searchQueries": ["mcp server tutorial"],"maxSearchResultsPerQuery": 3,"preferredLanguage": "en","includeTimestamps": true,"includeMarkdown": true}
Output Example
{"videoId": "dQw4w9WgXcQ","url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ","title": "Rick Astley - Never Gonna Give You Up (Official Video) (4K Remaster)","channelName": "Rick Astley","channelId": "UCuAXFkgsw1L7xaCfnd5JJOw","publishDate": "2009-10-25T06:57:33-07:00","durationSeconds": 213,"durationFormatted": "03:33","viewCount": 1600000000,"hasTranscript": true,"language": "en","isAutoGenerated": false,"wordCount": 412,"fullText": "♪ We're no strangers to love ♪ ♪ You know the rules and so do I ♪ ...","chapters": [],"segments": [{"start": 18.64,"duration": 3.24,"timestamp": "00:18","text": "♪ We're no strangers to love ♪"}],"ragMarkdown": "# Rick Astley - Never Gonna Give You Up...\n## Transcript\n[00:18] ♪ We're no strangers to love ♪..."}