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$1.80 / 1,000 comments

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Youtube Comments Scraper (Pay Per Results)

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Easy_Peasy_API

Easily collect full text YouTube comments with this tool! Just enter video URLs, and get all the data you need in JSON format, including comment text, like counts, and commenter info. Great for researchers and developers.

0.0 (0)

Pricing

$1.80 / 1,000 comments

Last modified

a year ago

Automation

Social media

Videos

You can access the Youtube Comments Scraper (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=easy_peasy_api/youtube-comments-scraper-pay-per-results",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with Youtube Comments Scraper (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=easy_peasy_api/youtube-comments-scraper-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=easy_peasy_api/youtube-comments-scraper-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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