Social Insight Scraper avatar
Social Insight Scraper

Pricing

Pay per event

Go to Store
Social Insight Scraper

Social Insight Scraper

Developed by

Insiteco

Maintained by Community

Social Media Insights Scraper is an Apify Actor that extracts insights from YouTube, Instagram, and TikTok, gathering likes, comments, and engagement data to help track performance and refine content strategies. 🚀

5.0 (2)

Pricing

Pay per event

0

Total users

15

Monthly users

15

Runs succeeded

97%

Last modified

2 hours ago

You can access the Social Insight 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.

1# Start Server-Sent Events (SSE) session and keep it running
2curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=insiteco/social-insight-scraper"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using Social Insight Scraper via Model Context Protocol (MCP) server

MCP server lets you use Social Insight Scraper 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 Social Insight Scraper 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      "input": [
8            {
9                  "url": "https://www.tiktok.com/@MS4wLjABAAAAxDhA8QWkQ9XuHvP1CM7gRYovEReyVffxZHVL3fpqrMklzsKs7_us19HM9L9jQXzm/video/7346600892520467717",
10                  "inputId": "bd85891d-8d55-cc56-e4c7-a9427007ec34"
11            },
12            {
13                  "url": "https://www.tiktok.com/@MS4wLjABAAAA07z5ITZ_LmPz_J8EH7e5yCw9rL1lPUr7r7mF_VG71lvMpyu_og58145T1qKcqiL1/video/7325262360225041665",
14                  "inputId": "f58a7ca0-5766-0089-8af9-f193b227c51b"
15            }
16      ]
17},
18    "name": "insiteco/social-insight-scraper"
19  }
20}'

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 Social Insight Scraper

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        "insiteco/social-insight-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.