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YouTube Transcript & Metadata Scraper Extractor

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YouTube Transcript & Metadata Scraper Extractor

YouTube Transcript & Metadata Scraper Extractor

Developed by

Transcript Downloader

Transcript Downloader

Maintained by Community

Verified 99.4% Success Rate. Scrape & extract high-quality transcripts and metadata from YouTube videos using the Transcript Downloader API. The actor supports auto language detection, batch processing & optional comment extraction. Great for research, podcasting, content repurposing & SEO analysis.

5.0 (2)

Pricing

Pay per usage

0

Total users

7

Monthly users

7

Runs succeeded

89%

Last modified

17 days ago

You can access the YouTube Transcript & Metadata Scraper 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=transcriptdl/transcript-downloader-youtube-transcript-and-metadata-scraper",
"--header",
"Authorization: Bearer <YOUR_API_TOKEN>"
]
}
}
}

Configure MCP server with YouTube Transcript & Metadata 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=transcriptdl/transcript-downloader-youtube-transcript-and-metadata-scraper 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=transcriptdl/transcript-downloader-youtube-transcript-and-metadata-scraper",
"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.