
YouTube Comments Scraper π β Insights made simple!
2 hours trial then $14.99/month - No credit card required now

YouTube Comments Scraper π β Insights made simple!
2 hours trial then $14.99/month - No credit card required now
π Unleash the Power of YouTube Comments: Extract insightful comments from one or multiple YouTube videos effortlessly! π Export the data in your preferred format: HTML, JSON, CSV, Excel, or XML. Perfect for sentiment analysis, content improvement, and audience research. πβ¨
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>99% runs succeeded
Created in Jan 2025
Modified 2 months ago
You can access the YouTube Comments Scraper π β Insights made simple! programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youβll need an Apify account and your API token, found in Integrations settings in Apify Console.
1# Start Server-Sent Events (SSE) session and keep it running
2curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=genial_candlestand/youtube-comments-scraper"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa
Using YouTube Comments Scraper π β Insights made simple! via Model Context Protocol (MCP) server
MCP server lets you use YouTube Comments Scraper π β Insights made simple! 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 π β Insights made simple! Actor with the provided input.
1curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
2 "jsonrpc": "2.0",
3 "id": 1,
4 "method": "tools/call",
5 "params": {
6 "arguments": {
7 "urls": [
8 "https://www.youtube.com/watch?v=dzjS9iYHbuU"
9 ],
10 "sort_by": "recent",
11 "language": "en",
12 "sleep": 100,
13 "proxySettings": {
14 "useApifyProxy": false,
15 "apifyProxyGroups": [
16 "RESIDENTIAL"
17 ]
18 }
19},
20 "name": "genial_candlestand/youtube-comments-scraper"
21 }
22}'
The response should be: Accepted
. You should received response via SSE (JSON) as:
1event: message
2data: {
3 "result": {
4 "content": [
5 {
6 "type": "text",
7 "text": "ACTOR_RESPONSE"
8 }
9 ]
10 }
11}
Configure local MCP Server via standard input/output for YouTube Comments Scraper π β Insights made simple!
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:
1{
2 "mcpServers": {
3 "actors-mcp-server": {
4 "command": "npx",
5 "args": [
6 "-y",
7 "@apify/actors-mcp-server",
8 "--actors",
9 "genial_candlestand/youtube-comments-scraper"
10 ],
11 "env": {
12 "APIFY_TOKEN": "<YOUR_API_TOKEN>"
13 }
14 }
15 }
16}
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.