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YouTube Video Comments scraper

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$4.99 / 1,000 results

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YouTube Video Comments scraper

YouTube Video Comments scraper

Developed by

PowerAI

PowerAI

Maintained by Community

Extract comprehensive comments from any YouTube video with detailed metadata including author information, engagement metrics, and timestamps. Perfect for sentiment analysis, community engagement tracking, and content feedback analysis.

5.0 (1)

Pricing

$4.99 / 1,000 results

1

Total users

1

Monthly users

1

Runs succeeded

>99%

Last modified

24 days ago

You can access the YouTube Video Comments 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.

{
"mcpServers": {
"local-actors-mcp-server": {
"command": "npx",
"args": [
"-y",
"@apify/actors-mcp-server",
"--actors",
"powerai/youtube-video-comment-scraper"
],
"env": {
"APIFY_TOKEN": "<YOUR_API_TOKEN>"
}
}
}
}

Configure MCP server with YouTube Video Comments scraper

You can interact with the MCP server via standard input/output - stdio (as shown above), which is ideal for local integrations and command-line tools such as the Claude desktop client, or you can interact with the server through Server-Sent Events (SSE) to send messages and receive responses, which looks as follows:

{
"mcpServers": {
"remote-actors-mcp-server": {
"type": "sse",
"url": "https://mcp.apify.com/sse?actors=powerai/youtube-video-comment-scraper",
"headers": {
"Authorization": "Bearer <YOUR_API_TOKEN>"
}
}
}
}

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other supported 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.