YouTube Transcript & Subtitle Scraper (Fast Multi-Client) avatar

YouTube Transcript & Subtitle Scraper (Fast Multi-Client)

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Pay per usage

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YouTube Transcript & Subtitle Scraper (Fast Multi-Client)

YouTube Transcript & Subtitle Scraper (Fast Multi-Client)

Extract timestamped YouTube transcripts, plain text, SRT/VTT subtitles, chapters, and video metadata via multi-client Innertube API + yt-dlp fallback. $1.50/1,000 transcripts ($0.0015/item) with $0 start fee — 70-85% cheaper than existing scrapers. Built by Keene Digital Studio.

Pricing

Pay per usage

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Keene Digital Studio

Keene Digital Studio

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4 days ago

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YouTube Transcript & Subtitle Scraper (Fast Multi-Client Engine)

Publisher: Keene Digital Studio
Pricing: $1.50 per 1,000 transcripts ($0.0015 per video transcript) · $0.00 Actor start fee
Speed: ~150ms–300ms per video via direct multi-client YouTube Innertube API + automatic yt-dlp fallback.


Why Switch to This Actor? (Transparent Pricing & Reliability Comparison)

Existing YouTube transcript scrapers on the Apify Store charge up to $10.00 per 1,000 videos while suffering from high datacenter IP failure rates (15.7% failed runs on pintostudio/youtube-transcript-scraper) or months of unmaintained staleness (starvibe/youtube-video-transcript).

Our engine uses a 4-stage multi-client extraction pipeline (IOS Innertube API → ANDROID Innertube API → ANDROID_VR Innertube API → Watch Page + yt-dlp extractor fallback) that extracts both manual and auto-generated (ASR) captions in <250ms without requiring expensive residential proxies.

Feature / MetricKeene Digital Studio
youtube-transcript-scraper
Incumbent #1
pintostudio/youtube-transcript-scraper
Incumbent #2
starvibe/youtube-video-transcript
Price per 1,000 Transcripts$1.50 / 1k ($0.0015/item)$10.00 / 1k ($0.01/item)$5.00 / 1k ($0.005/item)
Actor Start Fee$0.00$0.00$0.00
Your SavingsBaseline85% Cheaper70% Cheaper
30-Day Success Rate>=98%+ Verified84.3% (15.7% hard failure rate)Stale (7+ months without update)
Multi-Client Fallback4-Stage (iOS + Android + VR + yt-dlp)Single client (breaks on bot check)Legacy web parser
Output Formats IncludedJSON Segments + Plain Text + SRT + VTTJSON segments onlyPlain text / basic segments
Rich Video Metadata & ChaptersIncluded Free (title, channel, views, chapters)LimitedLimited

Key Features

  • 4-Stage Multi-Client Extraction: Automatically cycles through YouTube's native mobile Innertube clients (IOS, ANDROID, ANDROID_VR), watch-page initial player response, and yt-dlp subtitle extraction so your runs succeed reliably.
  • Smart Language Selection: Pass an ordered array of preferred language codes (e.g. ["en", "es", "de"]). Automatically falls back to English variants (en, en-US, en-GB) and then the first available manual or auto-generated caption track.
  • All Subtitle Formats in One Call:
    • segments: Timestamped JSON array ([{start, duration, end, text}, ...])
    • fullText: Clean, LLM-ready plain text transcript with HTML entities decoded
    • srt: Complete SubRip (.srt) formatted subtitle file string
    • vtt: Complete WebVTT (.vtt) formatted subtitle file string
  • Rich Video Metadata: Returns videoId, url, title, channelName, channelId, viewCount, durationSeconds, uploadDate, chapters ([{title, start_time, end_time}]), language, isAutoGenerated, and extractedVia.
  • Flexible Input: Accepts full watch URLs (https://www.youtube.com/watch?v=...), short links (https://youtu.be/...), YouTube Shorts (https://www.youtube.com/shorts/...), embed links, or raw 11-character video IDs.

Input Example

{
"videoUrls": [
"https://www.youtube.com/watch?v=rfscVS0vtbw",
"https://youtu.be/aircAruvnKk"
],
"languages": ["en", "en-US"],
"includeTimestamps": true,
"includeSrt": true,
"includeVtt": true,
"preferAutoGenerated": false,
"maxConcurrency": 5
}

Output Example

[
{
"videoId": "aircAruvnKk",
"url": "https://www.youtube.com/watch?v=aircAruvnKk",
"title": "But what is a neural network? | Deep learning chapter 1",
"channelName": "3Blue1Brown",
"channelId": "UCYO_jab_esuFRV4b17AJtAw",
"viewCount": 19854120,
"durationSeconds": 1120,
"uploadDate": null,
"chapters": [
{ "title": "Introduction", "start_time": 0, "end_time": 67 },
{ "title": "Neurons", "start_time": 67, "end_time": 215 }
],
"language": "en",
"isAutoGenerated": false,
"extractedVia": "innertube_ios",
"segmentCount": 369,
"fullText": "This is a 3. It's sloppily written and rendered at an extremely low resolution of 28x28 pixels...",
"segments": [
{
"start": 1.24,
"duration": 4.12,
"end": 5.36,
"text": "This is a 3."
}
],
"srt": "1\n00:00:01,240 --> 00:00:05,360\nThis is a 3.\n...",
"vtt": "WEBVTT\n\n00:00:01.240 --> 00:00:05.360\nThis is a 3.\n...",
"elapsedMs": 149
}
]

Local CLI Usage

$python3 -m src.main --input '{"videoUrls": ["https://www.youtube.com/watch?v=dQw4w9WgXcQ"]}'

Built and maintained by Keene Digital Studio.