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Youtube Multilanguage Transcript Extractor

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Developed by

Real Noob

Youtube Multilanguage Transcript Extractor fetches structured metadata and rich subtitles / transcripts for any public YouTube video, even when the video is geo-restricted or the captions require on-the-fly machine translation. It is designed for large-scale.

0.0 (0)

Pricing

$6.00 / 1,000 results

Total users

Monthly users

Runs succeeded

>99%

Last modified

11 days ago

Developer tools

Agents

You can access the Youtube Multilanguage 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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

Configure MCP server with Youtube Multilanguage Transcript Extractor

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=new_noob/youtube-multilanguage-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=new_noob/youtube-multilanguage-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.

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