Extract Twitter/X Replies (including hidden & spam) avatar
Extract Twitter/X Replies (including hidden & spam)

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Extract Twitter/X Replies (including hidden & spam)

Extract Twitter/X Replies (including hidden & spam)

Developed by

Yair Sabag

Yair Sabag

Maintained by Community

Scrapes all replies to a public tweet, including hidden and spam replies. Returns clean JSON with tweet ID, text, author, likes, etc. Fully cloud-based. No API key required. Works great with n8n, Zapier, Google Sheets, and more.

0.0 (0)

Pricing

$0.25 / 1,000 results

0

Total users

8

Monthly users

8

Runs succeeded

>99%

Last modified

12 days ago

You can access the Extract Twitter/X Replies (including hidden & spam) 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=yairsabag/twitter-reply-full"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using Extract Twitter/X Replies (including hidden & spam) via Model Context Protocol (MCP) server

MCP server lets you use Extract Twitter/X Replies (including hidden & spam) 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 Extract Twitter/X Replies (including hidden & spam) 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      "tweetUrl": "https://twitter.com/elonmusk/status/1751549561499033669"
8},
9    "name": "yairsabag/twitter-reply-full"
10  }
11}'

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 Extract Twitter/X Replies (including hidden & spam)

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        "yairsabag/twitter-reply-full"
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.