# Add YouTube Transcripts to an AI Knowledge Base

**Use case:** 

Give your search or AI application text from selected YouTube videos. Extract the transcripts here, then use your own pipeline to clean, chunk, index, and retrieve them. The actor supplies transcript data; it does not build the knowledge base.

## Input

```json
{
  "startUrls": [
    "https://www.youtube.com/watch?v=hvPGfcAgk9Y",
    "https://www.youtube.com/watch?v=F9KrZd_-ge0"
  ],
  "lang": "en",
  "maxItems": 100,
  "customMapFunction": "(object) => { return { ...object } }",
  "deliverMode": "perPost"
}
```

## Output

```json
{
  "id": {
    "label": "Video ID",
    "format": "text"
  },
  "transcript": {
    "label": "Transcript lines",
    "format": "array"
  },
  "selected.title": {
    "label": "Track title",
    "format": "text"
  },
  "selected.languageCode": {
    "label": "Track language code",
    "format": "text"
  },
  "availableLanguages": {
    "label": "Available caption languages",
    "format": "array"
  }
}
```

## How it works

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

The YouTube Transcript Scraper - Subtitles & Captions, $0.001/Video Actor is ready to run with the inputs already set for "Add YouTube Transcripts to an AI Knowledge Base". [Sign up or log in](https://console.apify.com/create-task-from-example/1e2NZUHkWPguxNtGk) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Add YouTube Transcripts to an AI Knowledge Base" task

The YouTube Transcript Scraper - Subtitles & Captions, $0.001/Video Actor will start running based on the input automatically. You can also change all the input fields, like youtube video urls, transcript language code, and more, to match your specific use case.

### 3. Receive the "Add YouTube Transcripts to an AI Knowledge Base" 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, transcript lines, track 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 "Add YouTube Transcripts to an AI Knowledge Base" task via API](https://apify.com/apidojo/youtube-transcript-scraper.md).

## About this Actor

This example demonstrates how to use [YouTube Transcript Scraper - Subtitles & Captions, $0.001/Video](https://apify.com/apidojo/youtube-transcript-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/apidojo/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/apidojo/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`).