Youtube Comments Scraper Pro avatar
Youtube Comments Scraper Pro

Pricing

$1.00 / 1,000 results

Go to Store
Youtube Comments Scraper Pro

Youtube Comments Scraper Pro

Developed by

AutomateLab

AutomateLab

Maintained by Community

Extract YouTube comments WITHOUT API key - scrape unlimited comments, replies & metadata from any video FREE - no authentication, quotas or limits - perfect for sentiment analysis, market research & brand monitoring

0.0 (0)

Pricing

$1.00 / 1,000 results

0

Total users

1

Monthly users

1

Last modified

14 hours ago

You can access the Youtube Comments Scraper Pro 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.

$# Start Server-Sent Events (SSE) session and keep it running
<curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=red.cars/youtube-comments-scraper-pro"
# Session id example output:
# event: endpoint
# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using Youtube Comments Scraper Pro via Model Context Protocol (MCP) server

MCP server lets you use Youtube Comments Scraper Pro 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 Pro Actor with the provided input.

$curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
$ "jsonrpc": "2.0",
$ "id": 1,
$ "method": "tools/call",
$ "params": {
$ "arguments": {},
$ "name": "red.cars/youtube-comments-scraper-pro"
$ }
$}'

The response should be: Accepted. You should received response via SSE (JSON) as:

$event: message
$data: {
$ "result": {
$ "content": [
$ {
$ "type": "text",
$ "text": "ACTOR_RESPONSE"
$ }
$ ]
$ }
$}

Configure local MCP Server via standard input/output for Youtube Comments Scraper Pro

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:

{
"mcpServers": {
"actors-mcp-server": {
"command": "npx",
"args": [
"-y",
"@apify/actors-mcp-server",
"--actors",
"red.cars/youtube-comments-scraper-pro"
],
"env": {
"APIFY_TOKEN": "<YOUR_API_TOKEN>"
}
}
}
}

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.