YouTube Transcript Extractor
Pricing
Pay per usage
YouTube Transcript Extractor
Extract accurate, timestamped transcripts from any YouTube video for just $1 per 1,000 results. Includes views, likes, channel info, and publish dates—all in structured JSON. Scalable, fast, and ideal for developers, analysts, and content creators alike.
5.0 (2)
Pricing
Pay per usage
3
Monthly users
16
Runs succeeded
>99%
Last modified
14 hours 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.
1# Start Server-Sent Events (SSE) session and keep it running
2curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=dz_omar/youtube-transcript-extractor"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing YouTube Transcript Extractor - Video Captions to Text via Model Context Protocol (MCP) server
MCP server lets you use YouTube Transcript Extractor - Video Captions to Text 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 Extractor - Video Captions to Text 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 "youtubeUrl": [
8 {
9 "url": "https://www.youtube.com/watch?v=videoID"
10 },
11 {
12 "url": "https://youtu.be/videoID"
13 },
14 {
15 "url": "https://youtu.be/nC8ilIMH8sk"
16 }
17 ]
18},
19 "name": "dz_omar/youtube-transcript-extractor"
20 }
21}'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 Extractor - Video Captions to Text
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 "dz_omar/youtube-transcript-extractor"
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 usageThis Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage.
