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YouTube Video Details Scraper

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YouTube Video Details Scraper

YouTube Video Details Scraper

deanter/youtube-video-details-scraper
Try for free

No credit card required

Input: YouTube video link | 👉 Output: Transcript, video description, video title 👌👉 This actor processes a YouTube video link and extracts the transcript, description, and title of the video. It's perfect for gathering video metadata and subtitles for further analysis or content creation.

Developer
Maintained by Community

Actor Metrics

  • 90 monthly users

  • No reviews yet

  • 18 bookmarks

  • >99% runs succeeded

  • 75 days response time

  • Created in Oct 2024

  • Modified 5 months ago

You can access the YouTube Video Details Scraper 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=deanter/youtube-video-details-scraper"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using YouTube Scraper – Extract Descriptions & Subtitles via Model Context Protocol (MCP) server

MCP server lets you use YouTube Scraper – Extract Descriptions & Subtitles 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 Scraper – Extract Descriptions & Subtitles 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      "url": "https://www.youtube.com/watch?v=vxRgPKrGw0U"
8},
9    "name": "deanter/youtube-video-details-scraper"
10  }
11}'

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 Scraper – Extract Descriptions & Subtitles

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        "deanter/youtube-video-details-scraper"
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.