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$0.40 / 1,000 results

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Twitter Reply Scraper | $0.4/1K Tweets | Pay-Per Result ｜ 2025

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fastcrawler

Get 1,000 Twitter replies(comments) for just $0.40! 🚀 Instantly download Twitter replies and comments. Our tool provides precise and rapid data extraction, no coding required. Pay only for the data you need, and gain valuable insights for market analysis, sentiment monitoring, and more.

0.0 (0)

Pricing

$0.40 / 1,000 results

Total users

122

Monthly users

Runs succeeded

>99%

Issues response

0.61 hours

Last modified

22 days ago

Social media

Automation

You can access the Twitter Reply Scraper | $0.4/1K Tweets | Pay-Per Result ｜ 2025 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/sse?actors=fastcrawler/twitter-reply-scraper-0-4-1k-tweets-pay-per-result-2025",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with Twitter Reply Scraper | $0.4/1K Tweets | Pay-Per Result ｜ 2025

You have a few options for interacting with the MCP server:

Use mcp.apify.com via mcp-remote from your local machine to connect and authenticate using OAuth or an API token (as shown in the JSON configuration above).
Set up the connection directly in your MCP client UI by providing the URL https://mcp.apify.com/sse?actors=fastcrawler/twitter-reply-scraper-0-4-1k-tweets-pay-per-result-2025 along with an API token (or use OAuth).
Connect to mcp.apify.com via Server-Sent Events (SSE), as shown below:

{
    "mcpServers": {
        "apify": {
            "type": "sse",
            "url": "https://mcp.apify.com/sse?actors=fastcrawler/twitter-reply-scraper-0-4-1k-tweets-pay-per-result-2025",
            "headers": {
                "Authorization": "Bearer <YOUR_API_TOKEN>"
            }
        }
    }
}

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.

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