Pricing

$12.50/month + usage

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YouTube video to Transcript

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Developed by

scrapingxpert

Fetch YouTube video transcripts automatically using Apify. Supports multiple URLs and retrieves captions from YouTube. Ideal for video content analysis, subtitle generation, or transcription needs. Customize with headers and cookies for accuracy.

5.0 (1)

Pricing

$12.50/month + usage

Total users

Monthly users

Runs succeeded

>99%

Last modified

4 months ago

Automation

Videos

Social media

You can access the YouTube video to Transcript 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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

Configure MCP server with YouTube video to Transcript

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=scrapingxpert/youtube-video-to-transcript 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=scrapingxpert/youtube-video-to-transcript",
            "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.

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