# Get YouTube transcript timestamps for quote checks

**Use case:** 

Export caption segments with their start, duration and end times from a known YouTube video. Use the text and video reference to locate a quoted passage and check it against the original recording before citing it.

## Input

```json
{
  "inputList": [
    "https://www.youtube.com/watch?v=iG9CE55wbtY"
  ],
  "language": ""
}
```

## Output

```json
{
  "input": {
    "label": "Input",
    "format": "string"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "video.id": {
    "label": "Video / ID",
    "format": "text"
  },
  "video.url": {
    "label": "Video / URL",
    "format": "link"
  },
  "video.title": {
    "label": "Video / Title",
    "format": "text"
  },
  "video.channel_id": {
    "label": "Video / Channel ID",
    "format": "text"
  },
  "video.author": {
    "label": "Video / Author",
    "format": "text"
  },
  "video.views": {
    "label": "Video / Views",
    "format": "number"
  },
  "requested_language": {
    "label": "Requested Language",
    "format": "string"
  },
  "language": {
    "label": "Language",
    "format": "string"
  },
  "language_name": {
    "label": "Language Name",
    "format": "string"
  },
  "is_generated": {
    "label": "Is Generated",
    "format": "boolean"
  },
  "is_translated": {
    "label": "Is Translated",
    "format": "boolean"
  },
  "transcript_available": {
    "label": "Transcript Available",
    "format": "boolean"
  },
  "full_text": {
    "label": "Full Text",
    "format": "string"
  },
  "segments.text": {
    "label": "Segments / Text",
    "format": "array"
  },
  "segments.start_seconds": {
    "label": "Segments / Start Seconds",
    "format": "array"
  },
  "segments.duration_seconds": {
    "label": "Segments / Duration Seconds",
    "format": "array"
  },
  "segments.end_seconds": {
    "label": "Segments / End Seconds",
    "format": "array"
  },
  "segments.timestamp": {
    "label": "Segments / Timestamp",
    "format": "array"
  },
  "segments_count": {
    "label": "Segments Count",
    "format": "integer"
  },
  "tracks.name": {
    "label": "Tracks / Name",
    "format": "array"
  },
  "tracks.language_code": {
    "label": "Tracks / Language Code",
    "format": "array"
  },
  "tracks.vss_id": {
    "label": "Tracks / Vss ID",
    "format": "array"
  },
  "tracks.url": {
    "label": "Tracks / URL",
    "format": "array"
  },
  "tracks.is_auto_generated": {
    "label": "Tracks / Is Auto Generated",
    "format": "array"
  },
  "tracks.is_translatable": {
    "label": "Tracks / Is Translatable",
    "format": "array"
  },
  "translation_languages.language_code": {
    "label": "Translation Languages / Language Code",
    "format": "array"
  },
  "translation_languages.name": {
    "label": "Translation Languages / Name",
    "format": "array"
  }
}
```

## About this Actor

This example demonstrates how to use [YouTube Transcript Scraper – Text & Timestamps](https://apify.com/scrapingmonkey/youtube-video-transcript-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/scrapingmonkey/youtube-video-transcript-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/scrapingmonkey/youtube-video-transcript-scraper.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).