Instagram_Comments_Scrapper
Pricing
Pay per usage
Instagram_Comments_Scrapper
This actor scrapes comments from public Instagram posts For each comment, it extracts: - Username - Comment text - Likes count - Replies count - Verified status Just provide a list of Instagram post URLs, and the actor returns structured data ideal for analysis or monitoring public opinion
0.0 (0)
Pricing
Pay per usage
0
Total users
6
Monthly users
6
Runs succeeded
>99%
Last modified
8 days ago
You can access the Instagram_Comments_Scrapper 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.
1# Start Server-Sent Events (SSE) session and keep it running
2curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=om.shinde/instagram-comments-scrapper"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing Instagram_Comments_Scrapper via Model Context Protocol (MCP) server
MCP server lets you use Instagram_Comments_Scrapper 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 Instagram_Comments_Scrapper 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 "start_urls": [
8 {
9 "url": "https://www.instagram.com/p/POST_ID/"
10 }
11 ]
12},
13 "name": "om.shinde/instagram-comments-scrapper"
14 }
15}'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 Instagram_Comments_Scrapper
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 "om.shinde/instagram-comments-scrapper"
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.
