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Truth Social Comment Scraper

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Truth Social Comment Scraper

Truth Social Comment Scraper

muhammetakkurtt/truthsocial-comment-scraper
Try for free

1 day trial then $29.99/month - No credit card required now

Powerful Truth Social comment scraper that automatically collects and analyzes comments from any Truth Social post. Extract engagement metrics, user data, media attachments, and more. Perfect for social media monitoring, sentiment analysis, content research. Features customizable sorting options.

Developer
Maintained by Community

Actor Metrics

  • 2 monthly users

  • 5.0 / 5 (1)

  • 1 bookmark

  • >99% runs succeeded

  • Created in Feb 2025

  • Modified a day ago

You can access the Truth Social Comment 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=muhammetakkurtt/truthsocial-comment-scraper"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using Truth Social Comment Scraper via Model Context Protocol (MCP) server

MCP server lets you use Truth Social Comment 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 Truth Social Comment 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    "name": "muhammetakkurtt/truthsocial-comment-scraper"
8  }
9}'

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 Truth Social Comment 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        "muhammetakkurtt/truthsocial-comment-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.