Webinar Transcript Scraper (YouTube) avatar

Webinar Transcript Scraper (YouTube)

Under maintenance

Pricing

from $0.80 / 1,000 webinar transcripts

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Webinar Transcript Scraper (YouTube)

Webinar Transcript Scraper (YouTube)

Under maintenance

Turn recorded YouTube webinars into transcripts — text, SRT and VTT per recording, whole playlists in one run.

Pricing

from $0.80 / 1,000 webinar transcripts

Rating

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Developer

Crawlyard Data

Crawlyard Data

Maintained by Community

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1

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an hour ago

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Turn recorded webinars on YouTube into clean transcripts — paste webinar URLs, a playlist or a channel and get plain text, SRT and VTT for each recording in one run. Built for follow-up emails, content repurposing and research.

Typical searches this Actor answers: youtube transcript scraper, youtube transcript api, youtube to srt api, download youtube subtitles as srt, youtube captions to text, youtube transcript api, extract closed captions, bulk youtube subtitle download.

What you get per video

  • srt — ready-to-save SubRip file content
  • vtt — ready-to-save WebVTT file content
  • transcript — clean plain text
  • segments[{start, duration, text}] for precise timing work
  • language, languageName, isAutoGenerated, availableLanguages
  • Video metadata: title, channel, duration, views, publish date

Bulk input: playlists & whole channels

Paste a playlist URL (expands to up to ~100 videos) or a channel URL / @handle (latest 15 videos) alongside normal video URLs — everything is expanded automatically and transcribed in one run. maxVideosPerSource caps the expansion.

Use cases

  • Turn webinar recordings into follow-up emails and summaries
  • Extract Q&A sections as text for knowledge bases
  • Repurpose long webinars into articles and clips

Input

Paste video URLs (or IDs), pick preferred languages (fallback is automatic), toggle timestamps/SRT/metadata. Batches run concurrently.

Pricing

Pay per result: you are charged only for videos that actually return subtitles. No subscription, no monthly fee.

Why teams use it

Subtitle files for video localization and accessibility, transcripts for LLM/RAG pipelines, caption corpora for research, and content repurposing at scale — without browser automation or API keys.