πŸ“ YouTube Transcript Scraper β€” Captions & Text avatar

πŸ“ YouTube Transcript Scraper β€” Captions & Text

Pricing

from $20.00 / 1,000 transcript extracteds

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πŸ“ YouTube Transcript Scraper β€” Captions & Text

πŸ“ YouTube Transcript Scraper β€” Captions & Text

Extract full transcripts and captions from YouTube videos. Supports multiple languages, auto-generated subs, and bulk processing. Perfect for content repurposing, SEO, and AI training data.

Pricing

from $20.00 / 1,000 transcript extracteds

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Developer

Stephan Corbeil

Stephan Corbeil

Maintained by Community

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1

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6 days ago

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πŸ“Ί YouTube Transcript Scraper β€” Full Captions, Subtitles & Auto-Generated Text

Extract the full transcript of any public YouTube video β€” auto-generated or human-uploaded captions, per-segment timestamps, language detection, and multi-language fallback. Built as a pay-per-result alternative to YouTube Data API v3 captions endpoint (OAuth-gated + quota-burning), Rev.com ($1.50/min human transcription), Otter.ai ($16.99-30/mo), Whisper-as-a-service tools, and manual download-and-parse for content research, NLP training, and accessibility workflows.

Why YouTube Transcript Scraper Beats YouTube API, Rev, Otter & Whisper SaaS

FeatureNexGenData YouTube Transcript ScraperYouTube Data APIRev.comOtter.aiWhisper SaaS
Cost$0.005 / video, pay-per-resultOAuth + quota$1.50 / minute$16.99-30 / month$0.006-0.02 / min
Per-segment timestampsYesYes (XML)YesYesYes
Language detection + fallbackYes β€” auto + manual fallbackDIYEnglish-firstEnglish-firstAuto
Auto-generated captionsYes β€” pulled directly from YouTubePlan-gatedN/A (human only)N/A (own audio)Re-transcribed
Speed1-3 sec per videoAPI-quota dependentHoursReal-time onlyMinutes
Bulk batchYes β€” video-ID listDIYOne-by-oneOne-by-oneAPI batch
Auth requiredApify tokenOAuth + API keyAccount + paymentAccount + planAPI key
Monthly minimumNoneNone (quota walls)None$16.99+None

Most content + NLP teams pick this actor instead of YouTube's official caption API because the API's quota costs eat through 10K daily units inside 20 videos. Cheaper than Rev.com by 100-1000Γ— for English videos (since the captions already exist on YouTube) and a drop-in alternative to Whisper-as-a-service when you don't need to re-transcribe audio that's already captioned.

What You Get Per Video

  • video_id, video_url, video_title, channel, published_at, duration_seconds
  • language_detected, language_requested, is_auto_generated
  • transcript_plain β€” full text, no timestamps, ready for NLP
  • transcript_segments β€” array of {start, duration, text} for word-by-word timing
  • transcript_word_count, transcript_char_count
  • available_languages β€” list of all caption languages on the video
  • error β€” if no captions available

Use Cases

  • AI / NLP training β€” bulk-export labeled transcript corpora for fine-tuning
  • Content repurposing β€” turn YouTube videos into blog posts, newsletters, social clips
  • Accessibility β€” generate full text-of-video for screen-reader or low-bandwidth audiences
  • SEO / content research β€” extract every spoken keyword from competitor videos for content gaps
  • Podcast / lecture archives β€” build searchable, full-text indexes of long-form video content
  • Subtitling / translation β€” pull the source captions, then run them through your translation pipeline
  • Compliance / monitoring β€” audit channel transcripts for regulated content

Quick Start (Python)

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("nexgendata/youtube-transcript-scraper").call(run_input={
"video_urls": [
"https://www.youtube.com/watch?v=dQw4w9WgXcQ"
],
"language": "en",
"include_segments": True
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item["video_title"], item["transcript_word_count"])

Pricing β€” Pay Per Video

  • Actor start: $0.005
  • Video: $0.005

A 200-video weekly content sweep = $1.005/week. A 10,000-video NLP corpus = $50.005. No monthly minimum.

Use caseActor
YouTube AI summarizer (transcripts + GPT)youtube-ai-summarizer
YouTube comments scraperyoutube-comments-scraper
Reddit scraper (posts + comments)reddit-scraper
Reddit brand monitor (Brandwatch alt)reddit-brand-monitor
Hacker News scraperhacker-news-scraper
Bilibili video search (China YouTube)bilibili-video-search
Douyin trending tracker (TikTok China)douyin-trending-tracker
Google News scrapergoogle-news-scraper
Product Hunt daily launchesproduct-hunt-launches-scraper

FAQ

Q: Does it need a YouTube account or API key? A: No β€” it uses YouTube's public caption endpoints. Zero setup beyond pasting video URLs.

Q: What if the video has no captions? A: The actor returns error: "no_captions_available". For audio-only re-transcription, pipe the video through a Whisper or Deepgram actor instead.

Q: Auto-generated vs human captions? A: Both are supported. is_auto_generated: true flags ASR captions; manually uploaded captions are higher quality when available.

Q: Language fallback? A: If the requested language isn't available, the actor falls back to the default caption language and flags the swap in language_detected.

Q: Maximum video length? A: No hard cap. Multi-hour lectures and podcasts (4-8h) work fine; expect 5-10 sec per video runtime.


How NexGenData Pricing Works

Every NexGenData actor uses pay-per-event pricing β€” you only pay for results that actually land in your dataset. No monthly minimum, no seat fees, no surprise overage bills.

  • Actor Start: a single-event charge each time you spin the actor up (scaled to memory size)
  • Result / item: charged per item written to the default dataset
  • No charge for retries, internal proxy rotation, or failed sub-requests β€” those are absorbed by the platform

Apify Platform Bonus

New to Apify? Sign up with the NexGenData referral link β€” you get free platform credits on signup (enough for several thousand free results) and you help fund the maintenance of this actor fleet.

Integration Surface

Every actor in the NexGenData catalog can be triggered from:

  • Apify console β€” point-and-click run
  • Apify API β€” REST + webhooks
  • Apify Python / JS SDKs β€” programmatic batch
  • Zapier, Make.com, n8n β€” official integrations
  • MCP β€” many actors are exposed as MCP tools for Claude / ChatGPT / Cursor agents
  • Schedules β€” built-in cron for daily / weekly / monthly runs
  • Webhooks β€” POST results to any HTTPS endpoint on dataset write

Support

NexGenData maintains 260+ Apify actors and ships updates regularly. Bug reports via the Apify console issues tab get a response within 24 hours. Roadmap requests are welcome β€” high-demand features ship in the next version.

Home: thenextgennexus.com Full catalog: apify.com/nexgendata