# YouTube Channel to Text: Transcripts of Every Video

**Use case:** 

Paste a YouTube channel link (@handle or /channel/UC…) and get the transcript of its newest videos, one row per video, with title, publish date and views. Ready for AI, RAG or content research. This example transcribes the 10 newest Google for Developers videos.

## Input

```json
{
  "video_urls": [
    "https://www.youtube.com/@GoogleDevelopers"
  ],
  "language": "en",
  "prefer_manual": true,
  "max_videos_per_source": 10
}
```

## Output

```json
{
  "video_id": {
    "label": "Video id"
  },
  "title": {
    "label": "Title"
  },
  "channel_name": {
    "label": "Channel name"
  },
  "language": {
    "label": "Language"
  },
  "is_generated": {
    "label": "Is generated"
  },
  "duration_seconds": {
    "label": "Duration seconds"
  },
  "view_count": {
    "label": "View count"
  },
  "published_at": {
    "label": "Published at"
  },
  "transcript_text": {
    "label": "Transcript text"
  },
  "url": {
    "label": "Url"
  },
  "scraped_at": {
    "label": "Scraped at"
  },
  "_meta.status": {
    "label": "Outcome",
    "format": "text"
  },
  "_meta.message": {
    "label": "Outcome message",
    "format": "text"
  }
}
```

## How it works

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

The YouTube Transcript Scraper - Captions & Subtitles Actor is ready to run with the inputs already set for "YouTube Channel to Text: Transcripts of Every Video". [Sign up or log in](https://console.apify.com/create-task-from-example/SbuwMat41w572gldo) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "YouTube Channel to Text: Transcripts of Every Video" task

The YouTube Transcript Scraper - Captions & Subtitles Actor will start running based on the input automatically. You can also change all the input fields, like video, playlist, or channel urls, preferred caption language, and more, to match your specific use case.

### 3. Receive the "YouTube Channel to Text: Transcripts of Every Video" 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, title, channel name, 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 "YouTube Channel to Text: Transcripts of Every Video" task via API](https://apify.com/herus13/youtube-transcript-scraper.md).

## About this Actor

This example demonstrates how to use [YouTube Transcript Scraper - Captions & Subtitles](https://apify.com/herus13/youtube-transcript-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/herus13/youtube-transcript-scraper.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/herus13/youtube-transcript-scraper.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`).