# YouTube Transcript for RAG (Single Video)

**Use case:** 

Extract clean, timestamp-free transcripts from a single YouTube video. Perfect for feeding into RAG pipelines or LLMs

## Input

```json
{
  "videoUrls": [
    "https://www.youtube.com/watch?v=dQw4w9WgXcQ"
  ]
}
```

## Output

```json
{
  "url": {
    "label": "Video URL",
    "format": "string"
  },
  "charCount": {
    "label": "Character Count",
    "format": "number"
  },
  "status": {
    "label": "Status",
    "format": "string"
  }
}
```

## How it works

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

The YouTube Transcript Cleaner for RAG Actor is ready to run with the inputs already set for "YouTube Transcript for RAG (Single Video)". [Sign up or log in](https://console.apify.com/create-task-from-example/xU3jHijAnf5i7WgYN) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "YouTube Transcript for RAG (Single Video)" task

The YouTube Transcript Cleaner for RAG Actor will start running based on the input automatically. You can also change all the input fields, like youtube video urls, to match your specific use case.

### 3. Receive the "YouTube Transcript for RAG (Single 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 url, character count, and status.

### 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 Transcript for RAG (Single Video)" task via API](https://apify.com/maxkrin/youtube-transcript-cleaner.md).

## FAQ

### What does the YouTube Transcript for RAG task output?

The YouTube Transcript for RAG task outputs a dataset containing the video URL, a clean transcript of the video, the character count of the transcript, and the processing status.

### How does the task handle videos without subtitles?

The task returns a clear error message if a video has no subtitles, allowing for error handling without failing the entire run.

### Can this task be used for LLM training?

Yes, the task produces clean, timestamp-free transcripts that are optimized for use in LLM training and RAG pipelines.

### What is required to run the YouTube Transcript for RAG task?

The task requires a list of YouTube video URLs as input to process and extract the transcripts.

### Is it possible to schedule this task to run automatically?

Yes, this task can be scheduled to run automatically using the Apify Console.

### What is the pricing model for this task?

The task follows a pay-per-event pricing model, charging based on successfully processed transcripts.

## About this Actor

This example demonstrates how to use [YouTube Transcript Cleaner for RAG](https://apify.com/maxkrin/youtube-transcript-cleaner.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/maxkrin/youtube-transcript-cleaner.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/maxkrin/youtube-transcript-cleaner.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`).