# One week of transcripts from 10 YouTube channels

**Use case:** 

One week of transcripts (12-18 Oct 2026) from 10 news, science, tech and education channels, one plain-text row per video. Two test runs on 19 October each returned 35 English transcripts, no errors. Set startDate and endDate to your week (UTC). Up to 20 videos per channel are checked, so a busy channel or older week can miss some; raise maxVideosPerSource. Billed per transcript plus a start fee.

## Input

```json
{
  "sources": [
    "https://www.youtube.com/@TED",
    "https://www.youtube.com/@NASA",
    "https://www.youtube.com/@CNBC",
    "https://www.youtube.com/@NPR",
    "https://www.youtube.com/@TheEconomist",
    "https://www.youtube.com/@WIRED",
    "https://www.youtube.com/@freecodecamp",
    "https://www.youtube.com/@GoogleDevelopers",
    "https://www.youtube.com/@Vox",
    "https://www.youtube.com/@NewScientist"
  ],
  "maxVideosPerSource": 20,
  "preferredLanguages": [
    "en"
  ],
  "includeAutoGenerated": true,
  "includeSegments": false,
  "includePlainText": true,
  "startDate": "2026-10-12",
  "endDate": "2026-10-18"
}
```

## Output

```json
{
  "videoId": {
    "label": "Video ID"
  },
  "url": {
    "label": "Video URL"
  },
  "title": {
    "label": "Title"
  },
  "channelName": {
    "label": "Channel"
  },
  "channelId": {
    "label": "Channel ID"
  },
  "languageCode": {
    "label": "Caption language"
  },
  "kind": {
    "label": "Caption kind"
  },
  "availableCaptionLanguages": {
    "label": "Available caption languages"
  },
  "segments": {
    "label": "Segments (seconds)"
  },
  "plainText": {
    "label": "Plain text"
  },
  "description": {
    "label": "Video description"
  },
  "durationSeconds": {
    "label": "Video duration (seconds)"
  },
  "viewCount": {
    "label": "Views"
  },
  "likeCount": {
    "label": "Likes"
  },
  "publishedAt": {
    "label": "Published at"
  },
  "publishedTimestamp": {
    "label": "Publication Unix seconds"
  },
  "thumbnail": {
    "label": "Video thumbnail"
  },
  "channelUsername": {
    "label": "Channel handle"
  },
  "channelThumbnail": {
    "label": "Channel thumbnail"
  },
  "subscriberCount": {
    "label": "Subscriber count (see precision)"
  },
  "subscriberCountPrecision": {
    "label": "Subscriber count precision"
  },
  "subscriberCountText": {
    "label": "Displayed subscriber count"
  },
  "commentCount": {
    "label": "Exact comment count when supplied"
  },
  "commentCountText": {
    "label": "Displayed comment count"
  },
  "availableCountries": {
    "label": "Available countries (source allowlist)"
  },
  "geoRestriction": {
    "label": "Supplied country allowlist"
  },
  "scrapedAt": {
    "label": "Scraped at (UTC)"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The YouTube Transcript API Actor is ready to run with the inputs already set for "One week of transcripts from 10 YouTube channels". [Sign up or log in](https://console.apify.com/create-task-from-example/tmaTHtO2cV1G3ERw9) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "One week of transcripts from 10 YouTube channels" task

The YouTube Transcript API Actor will start running based on the input automatically. You can also change all the input fields, like video ids, video urls, channels or playlists, maximum videos inspected per source, and more, to match your specific use case.

### 3. Receive the "One week of transcripts from 10 YouTube channels" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as video id, video url, title, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "One week of transcripts from 10 YouTube channels" task via API](https://apify.com/danthedataman/youtube-transcript-language-api.md).

## About this Actor

This example demonstrates how to use [YouTube Transcript API](https://apify.com/danthedataman/youtube-transcript-language-api.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/danthedataman/youtube-transcript-language-api.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/danthedataman/youtube-transcript-language-api.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).