YouTube Transcript & Subtitle Scraper

What YouTube Transcript & Subtitle Scraper can do

• Four ways in. Mix direct video links or IDs, playlist links, and channel links (@handle, /channel/UC..., /c/..., /user/...) in one run, or switch to search mode to find videos by keyword.
• Three formats per video. Every record carries the transcript as timed segments, a single plain text transcript field, and srt plus vtt strings you can save straight to disk.
• Language control. List your preferred languages in priority order, or translate the result into another language YouTube supports.
• Handles both caption types. Works with human written captions and auto generated ones, and falls back to whatever the video offers when none of your preferred languages are available.
• Time windows on demand. Trim every transcript to a specific second range, and pay only for the trimmed text.
• Built for large pulls. Resume an interrupted playlist or channel crawl, or schedule the actor to run on a recurring basis and get only what's new, updated, or gone since last time.

Choose what to collect

These inputs let you configure YouTube Transcript & Subtitle Scraper. Open the actor on Apify to enter your values and review the current options.

Fields in the output

The documented dataset includes the fields below. Availability can depend on the source page and selected mode.

Example output

An example from this actor’s documentation. Values are illustrative; this is not a fresh live result.

{
  "videoId": "EXAMPLE_ID1",
  "videoUrl": "https://www.youtube.com/watch?v=EXAMPLE_ID1",
  "videoTitle": "Sample Video Title",
  "channelName": "Sample Channel",
  "channelUrl": "https://www.youtube.com/@SampleChannel",
  "durationSeconds": 213,
  "source": "https://www.youtube.com/watch?v=EXAMPLE_ID1",
  "sourceType": "video",
  "language": "English",
  "languageCode": "en",
  "isGenerated": false,
  "isTranslated": false,
  "translatedTo": null,
  "charCount": 5234,
  "segmentCount": 142,
  "transcript": "Hello and welcome to this sample transcript.\nThis is the second line of the transcript.",
  "segments": [
    {
      "text": "Hello and welcome to this sample transcript.",
      "start": 0,
      "duration": 2.32
    },
    {
      "text": "This is the second line of the transcript.",
      "start": 2.32,
      "duration": 2.08
    }
  ],
  "srt": "1\n00:00:00,000 --> 00:00:02,320\nHello and welcome to this sample transcript.\n",
  "vtt": "WEBVTT\n\n00:00:00.000 --> 00:00:02.320\nHello and welcome to this sample transcript.\n",
  "trimmedStart": 0,
  "trimmedDuration": 0,
  "success": true,
  "error": null,
  "fetchedAt": "2026-07-30T08:13:20Z"
}

Ways to use this data

• Content repurposing: turn a video's spoken words into blog posts, show notes, or social captions without watching it end to end.
• Research and note taking: skim long lectures, podcasts, or interviews as searchable text instead of sitting through the video.
• Localization and accessibility: generate subtitle files or translated transcripts for viewers who need them.
• SEO and content indexing: feed video transcripts into your own search tool or content database.
• Media monitoring: track new uploads from a channel or keyword and pull their transcripts automatically on a schedule.

Before you run

Start with a small input and check the resulting records against your expected fields. Source content and actor options can change; the current Apify listing is the reference for availability and pricing.

Questions about this actor