Pricing

$0.15 / 1,000 users

Go to Store

Premium X User Scraper | $0.15/1000 Users | Pay Per Result

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twlo low

Just $0.15 per 1000 profiles! Premium Twitter(X) User Data Extractor. Get instant access to comprehensive user details: bio, metrics, verified status & more. Trusted by analysts for accurate data. Lightning - fast extraction, 99.9% success rate. Blazing - fast: 40 profiles/second for bulk extraction

5.0 (2)

Pricing

$0.15 / 1,000 users

Total users

228

Monthly users

Runs succeeded

>99%

Last modified

a month ago

Social media

Lead generation

You can access the Premium X User Scraper | $0.15/1000 Users | Pay Per Result 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=kaitoeasyapi/premium-twitter-user-scraper-pay-per-result",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with Premium X User Scraper | $0.15/1000 Users | Pay Per Result

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=kaitoeasyapi/premium-twitter-user-scraper-pay-per-result 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=kaitoeasyapi/premium-twitter-user-scraper-pay-per-result",
            "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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