Extract available YouTube captions

YouTube Transcript Extractor

Enter video links to collect available captions with language and video metadata. Export the returned text in your saved results.

Current pricing

$0.162866 / 1,000 results

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Available captions; not guaranteed for every videoSaved sample · 1 row

Collected Oct 16, 2026: YouTube Transcript Extractor
Videoid`videoId`	Title`title`	Language`language`	Durationseconds`durationSeconds`	Isautogenerated`isAutoGenerated`	Transcript`transcript`
jNQXAC9IVRw	Me at the zoo	en	19	false	All right, so here we are, in front of the …

Real results collected Oct 16, 2026 (UTC). This is a saved sample; source details can change. Missing values were not returned by the source. Hover over a shortened value or switch to JSON to read it in full.

About these output fields

Field	Type	Description
`videoId`	string	Returned videoId. May be missing when the source does not provide it.
`title`	string	Returned title. May be missing when the source does not provide it.
`language`	string	Returned language. May be missing when the source does not provide it.
`durationSeconds`	number	Returned durationSeconds. May be missing when the source does not provide it.
`isAutoGenerated`	boolean	Returned isAutoGenerated. May be missing when the source does not provide it.
`transcript`	string	Returned transcript. May be missing when the source does not provide it.

From web pages to a dataset

What you can do

Prepare captions for your own research.

Read available video text in a table.

Organize public video references by language.

Set your sources

Open the scraper and enter your own URLs, search terms and limits.

Review & run

Check the cost estimate and confirm the task. Follow its progress in your account.

Use your data

Explore saved results and export CSV, JSON or XLSX. Downloads of saved results are free.

Start with a real configuration

Example input

This is the configured parser input. Replace the example sources with your own and review all limits before running.

JSON · example input

{
  "videoUrls": [
    "https://www.youtube.com/watch?v=jNQXAC9IVRw"
  ],
  "languages": [
    "en"
  ],
  "preferManualCaptions": true
}

Explore input fields

Field	Type	Notes
`videoUrls`	array	One or more YouTube video URLs (youtube.com/watch?v=..., youtu.be/..., or youtube.com/shorts/...). Up to 10 per run.
`languages`	array	BCP-47 language codes in preference order, e.g. en, es, fr. The first language with available captions for a video will be used for the transcript and segments fields.
`preferManualCaptions`	boolean	When both manual and auto-generated captions exist for a language, use the human-written ones. Turn off to always pick whichever is available.

The same scraper in your application

Run through the API

Create an API key in your account, send the input to the queued endpoint and use the returned task ID to retrieve results. Sending a live request uses credits.

cURL · queue a task

curl --request POST 'https://extracto.cloud/api/v1/parsers/youtube-transcript-extractor/queue' \
  --header 'X-API-KEY: ext_your_api_key' \
  --header 'Content-Type: application/json' \
  --header 'Accept: application/json' \
  --data-binary @- <<'JSON'
{
  "input": {
    "videoUrls": [
      "https://www.youtube.com/watch?v=jNQXAC9IVRw"
    ],
    "languages": [
      "en"
    ],
    "preferManualCaptions": true
  }
}
JSON

Configure your task API quickstart

Frequently asked questions

How do I start?

Open the scraper, enter your own sources and a finite result limit, then review the estimate before running.

What can I export?

Saved results can be exported from your account. The sample above supports CSV, JSON and Google Sheets export.

What are the limits?

Captions must be available for the requested video and language. This page does not promise speech transcription for videos without captions. The saved sample contains a short text excerpt; your collected results contain the returned caption text.

Is the sample live?

The table is a saved result collected on October 16, 2026. Source details can change; run your own task for current data.

Your next dataset starts here.

Choose your sources, review the price and run YouTube Transcript Extractor.