YouTube Comments Scraper 🚀 | Pay Per Result avatar

YouTube Comments Scraper 🚀 | Pay Per Result

Try for free

Pay $0.40 for 1,000 comments

Go to Store
YouTube Comments Scraper 🚀 | Pay Per Result

YouTube Comments Scraper 🚀 | Pay Per Result

genial_candlestand/youtube-comments-scraper-ppr
Try for free

Pay $0.40 for 1,000 comments

🔍 Unleash the Power of YouTube Comments: Extract insightful comments from one or multiple YouTube videos effortlessly! 🚀 Export the data in your preferred format: HTML, JSON, CSV, Excel, or XML. Perfect for sentiment analysis, content improvement, and audience research. 📊✨

Developer
Maintained by Community

Actor Metrics

  • 1 monthly user

  • No reviews yet

  • No bookmarks yet

  • >99% runs succeeded

  • Created in Feb 2025

  • Modified a month ago

You can access the YouTube Comments Scraper 🚀 | Pay Per Result 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=genial_candlestand/youtube-comments-scraper-ppr"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using YouTube Comments Scraper 🚀 | Pay Per Result via Model Context Protocol (MCP) server

MCP server lets you use YouTube Comments Scraper 🚀 | Pay Per Result 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 Comments Scraper 🚀 | Pay Per Result 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      "urls": [
8            "https://www.youtube.com/watch?v=dzjS9iYHbuU"
9      ],
10      "sort_by": "recent",
11      "language": "en",
12      "sleep": 100,
13      "proxySettings": {
14            "useApifyProxy": false,
15            "apifyProxyGroups": [
16                  "RESIDENTIAL"
17            ]
18      }
19},
20    "name": "genial_candlestand/youtube-comments-scraper-ppr"
21  }
22}'

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 Comments Scraper 🚀 | Pay Per Result

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        "genial_candlestand/youtube-comments-scraper-ppr"
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.