![YouTube Transcript Master Lite [EASY] avatar](https://images.apifyusercontent.com/UyXbkWe-EZ4ITSu9wB2lRZCLROPq4wuJD0LXDd6OHwg/rs:fill:250:250/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20veUl2ZXZPMVkzYUY0bmJxZjYtYWN0b3ItaHNTQ245c2pndUNkZDU0OTItckJjOTU4cDlHNC1saXRlLnBuZw.webp){kind=avatar}
YouTube Transcript Master Lite [EASY]
Pricing
$10.00 / 1,000 transcripts
YouTube Transcript Master Lite [EASY]
Pay per result! Get YouTube transcripts and captions by bulk via channel, playlist, and video URLs. A "lite" version of YouTube Transcript Master.
0.0 (0)
Pricing
$10.00 / 1,000 transcripts
1
Total users
17
Monthly users
17
Runs succeeded
>99%
Last modified
5 days ago
You can access the YouTube Transcript Master Lite [EASY] 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.
$# Start Server-Sent Events (SSE) session and keep it running<curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=zerohour/yt-transcript-lite"
# Session id example output:# event: endpoint# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing YouTube Transcript Master - Data to Train AI Agents & Chat via Model Context Protocol (MCP) server
MCP server lets you use YouTube Transcript Master - Data to Train AI Agents & Chat within your AI workflows. Send API requests to trigger actions and receive real-time results. Take the received sessionId and use it to communicate with the MCP server. The message starts the YouTube Transcript Master - Data to Train AI Agents & Chat Actor with the provided input.
$curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{$ "jsonrpc": "2.0",$ "id": 1,$ "method": "tools/call",$ "params": {$ "arguments": {$ "sources": [$ "https://www.youtube.com/watch?v=Ncj9673eF0E"$ ]$},$ "name": "zerohour/yt-transcript-lite"$ }$}'The response should be: Accepted. You should received response via SSE (JSON) as:
$event: message$data: {$ "result": {$ "content": [$ {$ "type": "text",$ "text": "ACTOR_RESPONSE"$ }$ ]$ }$}Configure local MCP Server via standard input/output for YouTube Transcript Master - Data to Train AI Agents & Chat
You can connect to the MCP Server using clients like ClaudeDesktop and LibreChat or build your own. The server can run both locally and remotely, giving you full flexibility. Set up the server in the client configuration as follows:
{ "mcpServers": { "actors-mcp-server": { "command": "npx", "args": [ "-y", "@apify/actors-mcp-server", "--actors", "zerohour/yt-transcript-lite" ], "env": { "APIFY_TOKEN": "<YOUR_API_TOKEN>" } } }}You can further access the MCP client through the Tester MCP Client, a chat user interface to interact with the server.
To get started, check out the documentation and example clients. If you are interested in learning more about our MCP server, check out our blog post.
![YouTube Transcript Master [EASY] (WebVTT & more) avatar](https://images.apifyusercontent.com/xSmHswT4WWr-FeTH4B5DB1cnJAxJGX6m119ZqPka_Lw/rs:fill:76:76/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20veUl2ZXZPMVkzYUY0bmJxZjYtYWN0b3ItY29XV1NEd1N4bUloVEQzTGEtSUlaYW9Wc2NOTi1Hcm91cF8zNy5wbmc.webp){kind=avatar}
