Youtube Comments Scraper
Pricing
$0.40 / 1,000 results
Youtube Comments Scraper
Scrape YouTube comments with detailed author info. Extract comment text, likes, replies, timestamps, and channel details. Sort by relevance or newest. No proxies needed. Perfect for sentiment analysis and engagement tracking.
0.0 (0)
Pricing
$0.40 / 1,000 results
0
Total users
11
Monthly users
7
Runs succeeded
98%
Last modified
a month ago
You can access the Youtube 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", "grow_media/youtube-comments-scraper" ], "env": { "APIFY_TOKEN": "<YOUR_API_TOKEN>" } } }}Configure MCP server with Youtube 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=grow_media/youtube-comments-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.
