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YouTube Transcript Extractor

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YouTube Transcript Extractor

YouTube Transcript Extractor

Developed by

dz_omar

dz_omar

Maintained by Community

Extract accurate, timestamped transcripts from any YouTube video for just $1 per 1000 results. Includes views, likes, channel info, and publish dates—all in structured JSON. Scalable, fast, and ideal for developers, analysts, and content creators alike.

4.8 (5)

Pricing

Pay per event

21

Total users

202

Monthly users

112

Runs succeeded

>99%

Issues response

3.6 days

Last modified

20 days ago

You can access the YouTube Transcript Extractor programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/sse?actors=dz_omar/youtube-transcript-extractor",
"--header",
"Authorization: Bearer <YOUR_API_TOKEN>"
]
}
}
}

Configure MCP server with YouTube Transcript Extractor - Video Captions to Text

You have a few options for interacting with the MCP server:

  • Use mcp.apify.com via mcp-remote from your local machine to connect and authenticate using OAuth or an API token (as shown in the JSON configuration above).

  • Set up the connection directly in your MCP client UI by providing the URL https://mcp.apify.com/sse?actors=dz_omar/youtube-transcript-extractor along with an API token (or use OAuth).

  • Connect to mcp.apify.com via Server-Sent Events (SSE), as shown below:

{
"mcpServers": {
"apify": {
"type": "sse",
"url": "https://mcp.apify.com/sse?actors=dz_omar/youtube-transcript-extractor",
"headers": {
"Authorization": "Bearer <YOUR_API_TOKEN>"
}
}
}
}

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.