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Youtube Subtitles Scraper: Export YouTube captions and transcripts into structured files

Scrape YouTube subtitles and captions into JSON or CSV for SEO, research, and content analysis with the Fetchcraft Labs Apify actor.

Apr 20263 min readBy FetchCraft Labs
YouTube subtitles scraperYouTube transcript exportcaption scraperApify actorYoutube Subtitles Scraper

Youtube Subtitles Scraper

Scrape YouTube captions and subtitles into structured exports for research, SEO, and content analysis workflows.

Actor: https://apify.com/fetchcraftlabs/youtube-subtitles-scraper

Last reviewed: April 21, 2026.

Quick answer

Use this actor when you need transcript-like subtitle data from YouTube videos in JSON or CSV instead of copying captions manually. It is a practical fit for research teams, SEO workflows, content analysis, and transcript-based automation.

At a glance:

  • Input: actor configuration on the Apify listing.
  • Output: subtitle or caption exports in structured formats such as JSON or CSV.
  • Best for: transcript analysis, SEO research, content ops, and archive workflows.
  • Not ideal for: private video data, manual viewing only, or editing workflows that do not need exported text.

What it does

The actor collects YouTube captions and subtitles and returns them in export-friendly formats. The main advantage is that subtitle content becomes easier to search, process, summarize, and combine with downstream workflows than it would be inside the YouTube interface.

Who this is for

  • SEO teams: analyze transcripts for keyword patterns and topic coverage.
  • Researchers: collect subtitle text for qualitative review or trend analysis.
  • Content teams: repurpose subtitle content into notes, briefs, or archives.
  • Automation teams: move transcript data into internal tools or storage systems.

Common use cases

  • Export captions for topic analysis and transcript search.
  • Create subtitle-based research datasets across multiple videos.
  • Feed transcript text into summarization, tagging, or QA workflows.
  • Build content archives from public video subtitle data.

What makes this actor useful

Captions are often valuable only after they leave the player UI and reach a structured format. This actor helps close that gap by turning subtitle content into data that can be filtered, searched, and reused.

When to use it vs. when not to

Use this actor when:

  • You need subtitle data in a machine-readable export.
  • You are working across many videos and manual copy/paste is too slow.
  • You plan to analyze or archive caption text outside YouTube.

Look for another workflow when:

  • You only need to watch one video and read subtitles manually.
  • You need editing controls rather than data extraction.
  • You need private/internal video platform data instead of public YouTube subtitle access.

Limitations and notes

  • This page is based on the repository description and published positioning, not a live schema snapshot.
  • Subtitle availability can depend on the source video and what YouTube exposes publicly.
  • If your downstream system depends on exact subtitle timing fields or record structure, validate with a small test run first.

FAQ

Is this good for SEO transcript analysis?

Yes. It is a strong fit when subtitle content needs to be exported into a format that can be searched, clustered, or summarized across many videos.

Can this replace manual transcript collection?

For repeated workflows, yes. That is exactly where the value compounds: transcript retrieval becomes repeatable and export-friendly.

What should I test first?

Test a few representative videos and confirm subtitle availability, output format, and any timing/text fields you rely on.

Related pages

Next steps

  • Run a small export and confirm the subtitle structure.
  • Map the output to your research or SEO workflow.
  • Re-check the live actor page before larger recurring jobs.