YouTube Transcript Extractor
Pricing
Pay per event
YouTube Transcript Extractor
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
17
Total users
140
Monthly users
94
Runs succeeded
>99%
Issues response
2.1 days
Last modified
4 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": { "local-actors-mcp-server": { "command": "npx", "args": [ "-y", "@apify/actors-mcp-server", "--actors", "dz_omar/youtube-transcript-extractor" ], "env": { "APIFY_TOKEN": "<YOUR_API_TOKEN>" } } }}Configure MCP server with YouTube Transcript Extractor - Video Captions to Text
You can interact with the MCP server via standard input/output - stdio (as shown above), which is ideal for local integrations and command-line tools such as the Claude desktop client, or you can interact with the server through Server-Sent Events (SSE) to send messages and receive responses, which looks as follows:
{ "mcpServers": { "remote-actors-mcp-server": { "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 supported 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.
