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, 60s RAG chunks, LLM-ready Markdown, chapters, views, and channel data from URLs, Video IDs, or Search Queries at $1.25/1k.
Pricing
$1.50 / 1,000 transcript extracteds
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0.0
(0)
Developer
Cedric poma
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2
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1
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19 hours ago
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๐บ YouTube Transcript, Chapters & Metadata Scraper (AI / RAG Ready)
๐ Free Trial Included: Apify gives every registered user $5 of free platform credits every month.
This allows you to extract up to 4,000 full YouTube video transcripts (clean text, timestamps, chapters, and RAG Markdown) completely free with $0 out-of-pocket! Click Try for free above to test your first videos.
โก What is YouTube Transcript Pro?
Extract YouTube video transcripts, timestamps, chapters, and complete video metadata in milliseconds using YouTube's internal lightweight Innertube API โ no slow or expensive headless browsers required.
Engineered specifically for AI Agents, RAG pipelines, LLM Summarizers, n8n, Make, Zapier, and bulk content research workflows.
๐ฅ Why Choose YouTube Transcript Pro?
| Feature | Legacy Browser Scrapers ($5 - $10 / 1k) | YouTube Transcript Pro ($1.25 / 1k) |
|---|---|---|
| Price per 1,000 Videos | $5.00 โ $10.00 | $1.25 / 1,000 results |
| Execution Speed | 8 โ 25 seconds per video | < 0.4 seconds per video |
| Memory Footprint | 2,048 MB โ 4,096 MB (Chromium) | 128 MB RAM (Pure HTTP) |
| Input Flexibility | Video URLs only | Video URLs, Shorts, Video IDs + Keyword Search |
| AI / LLM Formatting | Raw unstructured text | Timestamped JSON + Structured RAG Markdown + Chapters |
| Proxy Expense | Required ($5-20/GB) | 0 โฌ proxy expense (Lightweight HTTP) |
๐ Key Capabilities
- Direct URLs, Shorts & 11-char Video IDs: Supports standard
youtube.com/watch?v=...,youtu.be/...,youtube.com/shorts/..., or raw video IDs. - Built-in Discovery via Keyword Search: Pass
searchQueries(e.g.["LangChain tutorial", "AI agents 2026"]) to automatically find the top ranked videos and pull their full transcripts in a single run. - Multi-Language Caption Support: Specify your
preferredLanguage(en,fr,es,de,ja, etc.) with automatic fallback to auto-generated (asr) captions when manual captions are absent. - Description Chapter Parsing: Automatically identifies and structures timestamps and chapter titles (e.g.
00:00 Intro,04:12 System Architecture). - Instant RAG Markdown Ready for Vector DBs: Every item includes a formatted
ragMarkdownblock with clean titles, metadata, and timestamps ready to inject directly into Pinecone, Qdrant, ChromaDB, Claude, or OpenAI.
๐ฅ Input Example
{"videoUrls": ["https://www.youtube.com/watch?v=dQw4w9WgXcQ"],"searchQueries": ["mcp server tutorial python"],"maxSearchResultsPerQuery": 5,"preferredLanguage": "en","includeTimestamps": true,"includeMarkdown": true}
๐ค 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": [{ "title": "Intro", "start": 0, "timestamp": "00:00" },{ "title": "Chorus", "start": 43, "timestamp": "00:43" }],"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- **Channel:** Rick Astley | **Duration:** 03:33\n\n## Transcript\n- **[00:18]** We're no strangers to love\n- **[00:22]** You know the rules and so do I..."}
๐ฐ Pay-Per-Event Pricing
- $0.00125 per Video Transcript Extracted ($1.25 per 1,000 videos).
- No recurring fees. Use your free $5 monthly Apify credits to extract up to 4,000 videos for $0.00.
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