Deprecated

Pricing

$2.99 / 1,000 comments

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Youtube Comments Scraper (Fast and cheap) 💬 - Pay Per Results

Deprecated

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Developed by

Storm_Scraper

Quickly gather complete YouTube comments with this tool! 🚀 Simply drop in video URLs, max comments & receive all the data in a neat JSON format 📊, including comment content 💬, like counts 👍, and commenter details 🧑‍. It’s like having a personal assistant to fetch YouTube data for analysis! 💻

0.0 (0)

Pricing

$2.99 / 1,000 comments

Total users

Monthly users

Runs succeeded

>99%

Last modified

4 months ago

Social media

Videos

For creators

You can access the Youtube Comments Scraper (Fast and cheap) 💬 - Pay Per Results 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/sse?actors=scrapestorm/youtube-comments-scraper-fast-and-cheap---pay-per-results",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with Youtube Comments Scraper (Fast and cheap) 💬 - Pay Per Results

You have a few options for interacting with the MCP server:

Use mcp.apify.com via mcp-remote from your local machine to connect and authenticate using OAuth or an API token (as shown in the JSON configuration above).
Set up the connection directly in your MCP client UI by providing the URL https://mcp.apify.com/sse?actors=scrapestorm/youtube-comments-scraper-fast-and-cheap---pay-per-results along with an API token (or use OAuth).
Connect to mcp.apify.com via Server-Sent Events (SSE), as shown below:

{
    "mcpServers": {
        "apify": {
            "type": "sse",
            "url": "https://mcp.apify.com/sse?actors=scrapestorm/youtube-comments-scraper-fast-and-cheap---pay-per-results",
            "headers": {
                "Authorization": "Bearer <YOUR_API_TOKEN>"
            }
        }
    }
}

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.

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