
YouTube Transcript Ninja β‘οΈπ₯·β‘
Pricing
$10.00 / 1,000 results

YouTube Transcript Ninja β‘οΈπ₯·β‘
Extract transcripts from YouTube videos with ease! This actor takes a YouTube video URL as input and returns the transcript of the video in the specified format.
5.0 (2)
Pricing
$10.00 / 1,000 results
138
Monthly users
632
Runs succeeded
>99%
Response time
12 hours
Last modified
2 days ago
You can access the YouTube Transcript Ninja β‘οΈπ₯·β‘ programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youβll need an Apify account and your API token, found in Integrations settings in Apify Console.
1# Start Server-Sent Events (SSE) session and keep it running
2curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=topaz_sharingan/youtube-transcript-scraper-1"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa
Using YouTube Transcript Ninja β‘οΈπ₯·β‘ via Model Context Protocol (MCP) server
MCP server lets you use YouTube Transcript Ninja β‘οΈπ₯·β‘ 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 Ninja β‘οΈπ₯·β‘ Actor with the provided input.
1curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
2 "jsonrpc": "2.0",
3 "id": 1,
4 "method": "tools/call",
5 "params": {
6 "arguments": {
7 "startUrls": [
8 "https://www.youtube.com/watch?v=aAkMkVFwAoo"
9 ],
10 "language": "Default",
11 "includeTimestamps": "No"
12},
13 "name": "topaz_sharingan/youtube-transcript-scraper-1"
14 }
15}'
The response should be: Accepted
. You should received response via SSE (JSON) as:
1event: message
2data: {
3 "result": {
4 "content": [
5 {
6 "type": "text",
7 "text": "ACTOR_RESPONSE"
8 }
9 ]
10 }
11}
Configure local MCP Server via standard input/output for YouTube Transcript Ninja β‘οΈπ₯·β‘
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:
1{
2 "mcpServers": {
3 "actors-mcp-server": {
4 "command": "npx",
5 "args": [
6 "-y",
7 "@apify/actors-mcp-server",
8 "--actors",
9 "topaz_sharingan/youtube-transcript-scraper-1"
10 ],
11 "env": {
12 "APIFY_TOKEN": "<YOUR_API_TOKEN>"
13 }
14 }
15 }
16}
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.
Pricing
Pricing model
Pay per resultΒThis Actor isΒ paid per result. You are not charged for the Apify platform usage, but only a fixed price for each dataset of 1,000 items in the Actor outputs.
Price per 1,000 items
$10.00